Smoking, screen-based sedentary behavior, and diet associated with habitual sleep duration and chronotype: data from the UK Biobank
Open accessAbstract
BACKGROUND: Sleep duration has been implicated in the etiology of obesity but less is known about the association between sleep and other behavioral risk factors for cardiovascular disease. PURPOSE: The aim of this study was to examine the associations among sleep duration, chronotype, and physical activity, screen-based sedentary behavior, tobacco use, and dietary intake. METHODS: Regression models were used to examine sleep duration and chronotype as the predictors and cardiovascular risk factors as outcomes of interest in a cross-sectional sample of 439,933 adults enrolled in the UK Biobank project. RESULTS: Short sleepers were 45 % more likely to smoke tobacco than adequate sleepers (9.8 vs. 6.9 %, respectively). Late chronotypes were more than twice as likely to smoke tobacco than intermediate types (14.9 vs. 7.4 %, respectively). Long sleepers reported 0.61 more hours of television per day than adequate sleepers. Early chronotypes reported 0.20 fewer daily hours of computer use per day than intermediate chronotypes. Early chronotypes had 0.25 more servings of fruit and 0.13 more servings of vegetables per day than late chronotypes. CONCLUSIONS: Short and long sleep duration and late chronotype are associated with greater likelihood of cardiovascular risk behaviors. Further work is needed to determine whether these findings are maintained in the context of objective sleep and circadian estimates, and in more diverse samples. The extent to which promoting adequate sleep duration and earlier sleep timing improves heart health should also be examined prospectively.
AI snapshot
Written from the paper’s full text.
TL;DR
In a cross-sectional UK Biobank sample of 439,933 adults, short and long sleep duration and late chronotype were associated with adverse cardiovascular risk behaviors, especially smoking and greater television viewing. The authors conclude sleep duration and timing may be promising behavioral targets, but prospective and objective-measure studies are needed.
Key findings
- Short sleepers were 45% more likely to smoke than adequate sleepers (9.8% vs. 6.9%), and long sleepers had 36% greater odds of smoking than adequate sleepers (OR = 1.359).
- Late chronotypes were more than twice as likely to smoke as intermediate types (14.9% vs. 7.4%; OR = 2.126), while early chronotypes had 17% reduced odds of smoking versus intermediate types (OR = 0.833).
- Long sleepers reported 0.61 more hours of television per day than adequate sleepers; early chronotypes had 0.31 fewer daily hours of computer use and 0.14 fewer daily hours of television than late chronotypes.
- Early chronotypes had 0.25 more daily servings of fruit and 0.13 more daily servings of vegetables than late chronotypes.
Methods
- Cross-sectional analysis of UK Biobank baseline data (application #3474), including 439,933 adults aged 40–69 years after excluding missing/unknown sleep duration or chronotype data.
- Sleep duration was categorized as very short (≤4 h), short (5–6 h), adequate (7–8 h), and long (≥9 h); chronotype was categorized as early, intermediate, and late.
- General linear and binary logistic regression models examined sleep duration and chronotype as predictors of physical activity, screen-based sedentary behavior, fruit/vegetable intake, and current smoking, adjusted for age, sex, ethnicity, employment, and college attendance.
Limitations
- Stated: self-reported behavioral data and a cross-sectional design prevent assessment of temporal relationships; sleep duration did not distinguish work days from free days; fruit/vegetable portion sizes used UK rather than USA guidelines; chronotype was self-categorized rather than based on clock times or sleep midpoint.
- Stated: further work is needed with objective sleep and circadian estimates and in more diverse samples.
- Evident from the text: the final analytic sample was significantly more likely to be female, white, college attendees, and employed, which may limit generalizability despite adjustment for these variables.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 77 cited sources checked · 0 supported · 0 flagged
- Findingown data
Early chronotypes reported 0.20 fewer daily hours of computer use per day than intermediate chronotypes.
“Early chronotypes reported 0.20 fewer daily hours of computer use per day than intermediate chronotypes.”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Findingown data
Early chronotypes had 0.14 fewer hours of television viewing per day than late chronotypes.
“early chronotypes had 0.31 fewer hours of computer use and 0.14 fewer hours of television viewing per day than late chronotypes (Table 4).”
- Also stated in: § Discussion · plain
“Early chronotypes on average had 0.31 fewer daily hours of computer use and 0.14 fewer hours of television and 0.25 more servings of fruit and 0.13 more servings of vegetables than late chronotypes.”
Quote in the paperSubstantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Also stated in: § Discussion · plain
- Findingown data
Late chronotype had more than twofold increased odds of being a smoker than intermediate types, independent of sleep duration.
“Late chronotypes were more than twice as likely to smoke tobacco than intermediate types (14.9 vs. 7.4 %, respectively).”
- Also stated in: § Tobacco Use and Sleep · plain
“late chronotype had a more than twofold increased odds of being a smoker than intermediate types (OR=2.126, SE=0.034) (Table 4), independent of sleep duration.”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported current smoking status is a valid measure of tobacco use.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Also stated in: § Tobacco Use and Sleep · plain
- Findingown data
Early chronotypes had 0.13 more servings of vegetables per day than late chronotypes.
“Early chronotypes had 0.25 more servings of fruit and 0.13 more servings of vegetables per day than late chronotypes.”
- Also stated in: § Discussion · plain
“Early chronotypes on average had 0.31 fewer daily hours of computer use and 0.14 fewer hours of television and 0.25 more servings of fruit and 0.13 more servings of vegetables than late chronotypes.”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
- Also stated in: § Discussion · plain
- Findingown data
Early chronotypes accrued 0.18 more minutes per week of walking than late chronotypes.
“Similarly, early chronotypes accrued, on average, 0.18 more minutes per week of walking and 0.17 more minutes of moderate activity, and 0.17 more minutes of vigorous activity per week than late chronotypes (Table 4).”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Findingown data
Early chronotype had a 17% reduced odds of being a current smoker compared to intermediate types.
“early chronotype had a 17 % reduced odds of being a current smoker as compared to intermediate types (OR = 0.833, SE=0.012)”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported current smoking status is a valid measure of tobacco use.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Findingown data
Long sleepers had a 36% greater odds of being current smokers compared to adequate sleepers.
“compared to adequate sleepers, long sleepers had a 36 % greater odds of being smokers (OR = 1.359, SE = 0.027)”
- Also stated in: § Discussion · plain
“long sleepers had a 36 % increased odds of current smoking as compared to adequate sleepers.”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: Self-reported current smoking status is a valid measure of tobacco use.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Also stated in: § Discussion · plain
- Findingown data
Early chronotypes accrued 0.17 more minutes of moderate activity per week than late chronotypes.
“Similarly, early chronotypes accrued, on average, 0.18 more minutes per week of walking and 0.17 more minutes of moderate activity, and 0.17 more minutes of vigorous activity per week than late chronotypes (Table 4).”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Findingown data
Longer sleep duration was positively associated with daily vegetable intake.
“Longer sleep duration was negatively associated with daily fruit intake, but positively associated with vegetable intake (Table 3).”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
- Findingown data
Early chronotypes accrued 0.17 more minutes of vigorous activity per week than late chronotypes.
“Similarly, early chronotypes accrued, on average, 0.18 more minutes per week of walking and 0.17 more minutes of moderate activity, and 0.17 more minutes of vigorous activity per week than late chronotypes (Table 4).”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Findingown data
Late chronotypes consumed 0.10 fewer daily servings of fruit than intermediate chronotypes.
“Late chronotypes consumed, on average, 0.10 fewer daily servings of fruit and 0.02 fewer daily servings of vegetables than intermediate chronotypes.”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
- Findingown data
Early chronotypes accrued 0.13 more minutes of vigorous activity per week than intermediate types, independent of sleep duration.
“The largest effect size for this was seen with vigorous activity: on average, early chronotypes accrued 0.13 more minutes of vigorous activity per week than intermediate types (independent of sleep duration).”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Findingown data
Early chronotypes had 0.31 fewer hours of computer use per day than late chronotypes.
“early chronotypes had 0.31 fewer hours of computer use and 0.14 fewer hours of television viewing per day than late chronotypes (Table 4).”
- Also stated in: § Discussion · plain
“Early chronotypes on average had 0.31 fewer daily hours of computer use and 0.14 fewer hours of television and 0.25 more servings of fruit and 0.13 more servings of vegetables than late chronotypes.”
Quote in the paperSubstantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Also stated in: § Discussion · plain
- Findingown data
Early chronotypes consumed 0.14 more servings of fruit per day than intermediate chronotypes.
“early chronotypes consumed, on average, 0.14 more servings of fruit and 0.11 more servings of vegetables, per day than intermediate chronotypes.”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
- Findingown data
Early chronotypes had 0.25 more servings of fruit per day than late chronotypes.
“Early chronotypes had 0.25 more servings of fruit and 0.13 more servings of vegetables per day than late chronotypes.”
- Also stated in: § Discussion · plain
“Early chronotypes on average had 0.31 fewer daily hours of computer use and 0.14 fewer hours of television and 0.25 more servings of fruit and 0.13 more servings of vegetables than late chronotypes.”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
- Also stated in: § Discussion · plain
- Findingown data
Late chronotypes consumed 0.02 fewer daily servings of vegetables than intermediate chronotypes.
“Late chronotypes consumed, on average, 0.10 fewer daily servings of fruit and 0.02 fewer daily servings of vegetables than intermediate chronotypes.”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
- Findingown data
Short sleepers reported more minutes of physical activity per week than adequate sleepers.
“overall, short sleepers reported more minutes of physical activity per week than adequate sleepers.”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Findingown data
Long sleepers reported 0.61 more hours of television per day than adequate sleepers.
“Long sleepers reported 0.61 more hours of television per day than adequate sleepers.”
- Also stated in: § Association Between Screen-Based Sedentary Behavior and Sleep · plain
“long sleepers reported on average 0.61 more hours of television per day than adequate sleepers.”
- Also stated in: § Discussion · plain
“Long sleepers accrued 0.61 more hours of television per day than adequate sleepers.”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Also stated in: § Association Between Screen-Based Sedentary Behavior and Sleep · plain
- Findingown data
Early chronotype was associated with more physical activity.
“Multivariate examination of the association between chronotype and physical activity (Table 3) showed that early chronotype was associated with more physical activity.”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Findingown data
Short sleepers reported 0.20 more hours of television viewing per day than adequate sleepers.
“short sleepers reported 0.20 more hours of television viewing per day than adequate sleepers”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Findingown data
Early chronotypes consumed 0.11 more servings of vegetables per day than intermediate chronotypes.
“early chronotypes consumed, on average, 0.14 more servings of fruit and 0.11 more servings of vegetables, per day than intermediate chronotypes.”
Quote in the paperNot a substantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
- Findingown data
Late chronotypes had a 60% increased odds of being a smoker than morning types.
“Late chronotypes had a 60 % increased odds of being a smoker than morning types (OR=0.407, SE=0.11) (Table 4).”
- Also stated in: § Discussion · plain
“late (versus early) chronotypes had a 60 % increased odds of being a smoker.”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported current smoking status is a valid measure of tobacco use.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Also stated in: § Discussion · plain
- Findingown data
Short sleepers had a 45% increased odds of being current smokers compared to adequate sleepers.
“Short sleepers were 45 % more likely to smoke tobacco than adequate sleepers (9.8 vs. 6.9 %, respectively).”
- Also stated in: § Tobacco Use and Sleep · plain
“As compared to adequate sleepers, short sleepers had a 45 % increased odds of being smokers (OR =1.450, SE= 0.018)”
- Also stated in: § Discussion · plain
“short (versus adequate) sleepers had a 45 % increased odds of being current smokers”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: Self-reported current smoking status is a valid measure of tobacco use.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Also stated in: § Tobacco Use and Sleep · plain
- Findingown data
Longer sleep duration was negatively associated with daily fruit intake.
“Longer sleep duration was negatively associated with daily fruit intake, but positively associated with vegetable intake (Table 3).”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
- Findingown data
Long sleepers accrued on average 0.61 more television viewing hours per day than adequate sleepers.
“More noteworthy was the finding that long sleepers accrued on average 0.61 more television viewing hours per day than adequate sleepers.”
Quote in the paperSubstantial claim - Findingown data
Early chronotypes consumed 0.25 more servings of fruit daily than late chronotypes.
“Longer sleep duration and late chronotype were associated with lower daily fruit and vegetable intake, in fact, early chronotypes consumed 0.25 more servings of fruit and 0.133 more servings of vegetables daily than late chronotypes.”
Quote in the paperSubstantial claim - Findingown data
Early chronotypes consumed 0.133 more servings of vegetables daily than late chronotypes.
“Longer sleep duration and late chronotype were associated with lower daily fruit and vegetable intake, in fact, early chronotypes consumed 0.25 more servings of fruit and 0.133 more servings of vegetables daily than late chronotypes.”
Quote in the paperSubstantial claim - Findingown data
In this study, the association between longer sleep duration and late chronotype with lower levels of physical activity was marginal.
“The association between longer sleep duration and late chronotype with lower levels of physical activity found in this study was marginal, but did converge with a small number of other studies examining this question [40, 67, 68].”
Quote in the paperNot a substantial claim - Findingown data
This population analysis has shown that sleep is significantly associated with all three of the main risk behaviors for poor heart health.
“Sleep is associated with cardiovascular morbidity and mortality [90] and this population analysis has shown that sleep is significantly associated with all three of the main risk behaviors for poor heart health.”
Quote in the paperSubstantial claim - Findingown data
Long sleepers and late chronotypes are more vulnerable to negative heart health behaviors.
“Nevertheless, these results showing that long sleepers and late chronotypes are more vulnerable to negative heart health behaviors represent a novel and important contribution to this literature.”
Quote in the paperSubstantial claim - Premisecitation
Tobacco use is more prevalent among late chronotypes in adults.
“Tobacco use is more prevalent among late chronotypes in adults [34–36] and adolescents [37, 38].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [34] Wittmann M, Dinich J, Merrow M, et al. Social jetlag: Misalignment of biological and social time. Chronobiol Int. 2006; 23: 497-509. source
Not checked in the free run.
- cites [35] Broms U, Pennanen M, Patja K, et al.: Diurnal evening type is associated with current smoking, nicotine dependence and nicotine intake in the population based National FINRISK 2007 Study. J Addict Res Ther. 2012; S2. source
Not checked in the free run.
- cites [36] Ishihara K, Miyasita A, Inugami M, et al. Differences in the time or frequency of meals, alcohol and caffeine ingestion, and smoking found between ‘morning’ and ‘evening’ types. Psychol Rep. 1985; 57: 391-396. source
Not checked in the free run.
- Premisecitation
Sleep duration and chronotype are potentially modifiable.
“Importantly, sleep duration and chronotype are potentially modifiable [17].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17] Spring B, Ockene JK, Gidding SS, et al. Better population health through behavior change in adults: A call to action. Circulation. 2013; 128: 2169-2176. source
Not checked in the free run.
- Premisecitation
Sleep has been implicated in the etiology of cardiovascular risk behaviors and diseases.
“As a common physiologic function that has been implicated in the etiology of cardiovascular risk behaviors [7–11], and diseases [12], sleep may be such a target.”
Quote in the paperSubstantial claim0 of 6 sources checked- cites [7] Merikanto I, Lahti T, Puolijoki H, et al. Associations of chronotype and sleep with cardiovascular diseases and type 2 diabetes. Chronobiol Int. 2013; 30: 470-477. source
Not checked in the free run.
- cites [8] Paine SJ, Gander PH, Travier N. The epidemiology of morningness/eveningness: Influence of age, gender, ethnicity, and socioeconomic factors in adults (30–49 years). J Biol Rhythm. 2006; 21: 68-76. source
Not checked in the free run.
- cites [9] Taillard J, Philip P, Chastang J, et al. Is self-reported morbidity related to the circadian clock? J Biol Rhythm. 2001; 16: 183-190. source
Not checked in the free run.
- cites [10] Broms U, Pitkaniemi J, Backmand H, et al. Long-term consistency of diurnal-type preferences among men. Chronobiol Int. 2014; 31: 182-188. source
Not checked in the free run.
- cites [11] Culnan E, Kloss JD, Grandner M. A prospective study of weight gain associated with chronotype among college freshmen. Chronobiol Int. 2013; 30: 682-690. source
Not checked in the free run.
- cites [12] Grandner MA. Addressing sleep disturbances: An opportunity to prevent cardiometabolic disease? Int Rev Psychiatry. 2014; 26: 155-176. source
Not checked in the free run.
- Premisecitation
Short sleep is associated with current or former smoking status.
“Short sleep is associated with current or former smoking status [31, 32] while both short and long sleep are associated with higher cigarette consumption [31, 33].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [31] Krueger PM, Friedman EM. Sleep duration in the United States: A cross-sectional population-based study. Am J Epidemiol. 2009; 169: 1052-1063. source
Not checked in the free run.
- cites [32] Mehari A, Weir NA, Gillum RF. Gender and the association of smoking with sleep quantity and quality in American adults. Women Health. 2014; 54: 1-14. source
Not checked in the free run.
- Interpretationcitation
The marginal association between longer sleep duration and late chronotype with lower physical activity converged with a small number of other studies.
“The association between longer sleep duration and late chronotype with lower levels of physical activity found in this study was marginal, but did converge with a small number of other studies examining this question [40, 67, 68].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [40] Bellavia A, Akerstedt T, Bottai M, et al. Sleep duration and survival percentiles across categories of physical activity. Am J Epidemiol. 2014; 179: 484-491. source
Not checked in the free run.
- cites [67] Xiao L, Huang L, Schrack JA, et al. Quantifying the lifetime circadian rhythm of physical activity: A covariate-dependent functional approach. Biostatistics. 2015; 16: 352-367. source
Not checked in the free run.
- cites [68] Haraszti RA, Purebl G, Salavecz G, et al. Morningness-eveningness interferes with perceived health, physical activity, diet and stress levels in working women: A cross-sectional study. Chronobiol Int. 2014; 31: 829-837. source
Not checked in the free run.
- Interpretationcitation
The association between late chronotype and current smoking could be at least partially explained by affective and emotional traits common to both smokers and late chronotypes.
“The association between late chronotype and current smoking could be at least partially explained by evidence showing that several affective and emotional traits are common to both smokers and late chronotypes.”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [57] Voinescu BI, Szentagotai A, David D. Sleep disturbance, circadian preference and symptoms of adult attention deficit hyperactivity disorder (ADHD). J Neural Transm. 2012; 119: 1195-1204. source
Not checked in the free run.
- cites [58] Muro A, Goma-i-Freixanet M, Adan A. Circadian typology and sensation seeking in adolescents. Chronobiol Int. 2012; 29: 1376-1382. source
Not checked in the free run.
- cites [59] Russo PM, Leone L, Penolazzi B, et al. Circadian preference and the big five: The role of impulsivity and sensation seeking. Chronobiol Int. 2012; 29: 1121-1126. source
Not checked in the free run.
- cites [60] Lerman C, Audrain J, Orleans CT, et al. Investigation of mechanisms linking depressed mood to nicotine dependence. Addict Behav. 1996; 21: 9-19. source
Not checked in the free run.
- cites [61] Rodriguez D, Tercyak KP, Audrain-McGovern J. Effects of inattention and hyperactivity/impulsivity symptoms on development of nicotine dependence from mid adolescence to young adulthood. J Pediatr Psychol. 2008; 33: 563-575. source
Not checked in the free run.
- Rests on an assumption: Self-reported current smoking status is a valid measure of tobacco use.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Interpretationreasoning
The clustering of negative behaviors (television viewing, higher body mass index, low physical activity) represents a group at high risk for cardiovascular disease.
“This potential clustering of negative behaviors (television viewing, higher body mass index, low physical activity) represents a group at high risk for cardiovascular disease.”
Quote in the paperNot a substantial claim - Premisecitation
Tobacco use is more prevalent among late chronotypes in adolescents.
“Tobacco use is more prevalent among late chronotypes in adults [34–36] and adolescents [37, 38].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [37] Urban R, Magyarodi T, Rigo A. Morningness-eveningness, chronotypes and health-impairing behaviors in adolescents. Chronobiol Int. 2011; 28: 238-247. source
Not checked in the free run.
- cites [38] Randler C. Differences between smokers and nonsmokers in morningness-eveningness. Soc Behav Personal Int J. 2008; 36: 673-680. source
Not checked in the free run.
- Premisecitation
Smokers have delayed sleep onset as compared to non-smokers.
“Smokers have also been shown to have delayed sleep onset as compared to non-smokers, [39] which can promote late chronotype.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Zhang L, Samet J, Caffo B, et al. Cigarette smoking and nocturnal sleep architecture. Am J Epidemiol. 2006; 164: 529-537. source
Not checked in the free run.
- Study design and conductcitation
Self-reported chronotype has been validated with self-reported sleep-wake times.
“Self-reported chronotype has been validated with self-reported sleep-wake times [46].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Turco M, Corrias M, Chiaromanni F, et al. The self-morningness/eveningness (Self-ME): An extremely concise and totally subjective assessment of diurnal preference. Chronobiol Int. 2015; 32: 1192-1200. source
Not checked in the free run.
- Premisecitation
Late chronotypes consume more calories in the evening than early chronotypes.
“Chronotype has been shown to influence dietary intake such that late chronotypes consume more calories in the evening [25], eat fewer fruits and vegetables and more saturated fats [25–28] than early chronotypes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Baron KG, Reid KJ, Kern AS, et al. Role of sleep timing in caloric intake and BMI. Obesity (Silver Spring). 2011; 19: 1374-1381. source
Not checked in the free run.
- Study design and conductcitation
The sleep duration variable did not distinguish between work days and free days.
“These data should also be interpreted with consideration of the fact that the sleep duration variable did not distinguish between work days and free days [13] and that portion size for fruit and vegetable intake used UK (not USA) guidelines.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Roenneberg T, Kuehnle T, Juda M, et al. Epidemiology of the human circadian clock. Sleep Med Rev. 2007; 11: 429-438. source
Not checked in the free run.
- Premisecitation
Early chronotype is associated with higher levels of self-control and emotional stability.
“Early chronotype is also associated with traits related to conscientiousness including lower levels of procrastination [81] and higher levels of self-control and emotional stability [81, 82].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [81] Digdon NL, Howell AJ. College students who have an eveningness preference report lower self-control and greater procrastination. Chronobiol Int. 2008; 25: 1029-1046. source
Not checked in the free run.
- cites [82] DeYoung CG, Hasher L, Dijikic M, et al. Morning people are stable people: Circadian rhythm and the higher-order factors of the big five. Personal Individ Differ. 2007; 43: 267-276. source
Not checked in the free run.
- Interpretationcitation
The association between more healthful cardiovascular health behaviors and early chronotype could be at least partially explained by personality factors.
“Our findings that more healthful cardiovascular health behaviors (i.e., more physical activity, less screen-based sedentary behavior, higher fruit and vegetable intake, non-tobacco use) was associated with early chronotype could also be at least partially explained by personality factors.”
Quote in the paperNot a substantial claim - Premisecitation
Early chronotype and conscientiousness are highly correlated.
“Conscientiousness has been identified as the strongest personality predictor of diurnal preference [79], with early chronotype and conscientiousness being highly correlated [80].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [80] Randler C. Morningness–eveningness, sleep–wake variables and big five personality factors. Personal Individ Differ. 2008; 45: 191-196. source
Not checked in the free run.
- Interpretationreasoning
Personality characteristics are an integral part of explaining the variance in chronotype and positive health behaviors.
“Given that conscientiousness has been positively associated with habitual physical activity [83] and negatively associated with body mass index [84] and current tobacco use [85], it could be argued that personality characteristics are an integral part of explaining the variance in chronotype and positive health behaviors.”
Quote in the paperNot a substantial claim - Interpretationcitation
Even incremental differences in daily fruit and vegetable consumption could impact disease risk across time.
“Thus, even incremental differences in daily fruit and vegetable consumption could impact disease risk across time.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
The study had a cross-sectional design that prevents consideration of the temporal relationship between these variables.
“Main limitations include the use of self-report behavioral data and a cross-sectional design that prevents consideration of the temporal relationship between these variables.”
Quote in the paperSubstantial claim - Premisecitation
Conscientiousness has been identified as the strongest personality predictor of diurnal preference.
“Conscientiousness has been identified as the strongest personality predictor of diurnal preference [79], with early chronotype and conscientiousness being highly correlated [80].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [79] Hogben AL, Ellis J, Archer SN, et al. Conscientiousness is a predictor of diurnal preference. Chronobiol Int. 2007; 24: 1249-1254. source
Not checked in the free run.
- Premisecitation
Early chronotype is associated with lower levels of procrastination.
“Early chronotype is also associated with traits related to conscientiousness including lower levels of procrastination [81] and higher levels of self-control and emotional stability [81, 82].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [81] Digdon NL, Howell AJ. College students who have an eveningness preference report lower self-control and greater procrastination. Chronobiol Int. 2008; 25: 1029-1046. source
Not checked in the free run.
- Classified as probably not a substantial claim. 43
- May combine two claims. 13
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataShort sleepers consumed 0.02 more servings of fruit per day than adequate sleepers.
“Short sleepers consumed, on average, 0.02 more servings of fruit per day than adequate sleepers.”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataShort sleepers accrued 0.10 more minutes per week of vigorous activity than adequate sleepers.
“The largest point estimate was noted for vigorous activity whereby short sleepers accrued on average, 0.10 more minutes per week of vigorous activity a week than adequate sleepers.”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
May combine two claims.
Findingown dataLong sleepers reported more minutes of moderate and vigorous activity than adequate sleepers, although the differences were statistically significant but trivial.
“Long sleepers reported more minutes of moderate and vigorous activity than did adequate sleepers, although the differences, while statistically significant, were trivial (Table 3).”
Quote in the paperNot a substantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
May combine two claims.
Findingown dataLonger sleep duration and late chronotype were associated with lower daily fruit and vegetable intake.
“Longer sleep duration and late chronotype were associated with lower daily fruit and vegetable intake, in fact, early chronotypes consumed 0.25 more servings of fruit and 0.133 more servings of vegetables daily than late chronotypes.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationBoth short and long sleep are associated with higher cigarette consumption.
“Short sleep is associated with current or former smoking status [31, 32] while both short and long sleep are associated with higher cigarette consumption [31, 33].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [31] Krueger PM, Friedman EM. Sleep duration in the United States: A cross-sectional population-based study. Am J Epidemiol. 2009; 169: 1052-1063. source
Not checked in the free run.
- cites [33] Phillips BA, Danner FJ. Cigarette smoking and sleep disturbance. Arch Intern Med. 1995; 155: 734-737. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe multivariate analyses adjusted for age, sex, ethnicity, employment, and college attendance.
“Linear regression models of walking, moderate, and vigorous physical activity that adjusted for age, sex, ethnicity, employment, and college attendance showed that overall, short sleepers reported more minutes of physical activity per week than adequate sleepers.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationSedentary behavior is an independent risk factor for cardiovascular disease.
“The importance of long sleepers reporting significantly more television viewing time lies in the fact that sedentary behavior is an independent risk factor for cardiovascular disease [71, 72].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [71] Dunstan DW, Thorp AA, Healy GN. Prolonged sitting: Is it a distinct coronary heart disease risk factor? Curr Opin Cardiol. 2011; 26: 412-419. source
Not checked in the free run.
- cites [72] Wijndaele K, Healy GN, Dunstan DW, et al. Increased cardiometabolic risk is associated with increased TV viewing time. Med Sci Sports Exerc. 2010; 42: 1511-1518. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationChronotype is a demonstrated preference for morning or eveningness that results from endogenous biological rhythms and is influenced by environmental and socio-occupational factors.
“Chronotype is a demonstrated preference for morning or eveningness that results from endogenous biological rhythms and is influenced by environmental (e.g., light) and socio-occupational (e.g., employment hours) factors [14–16].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [14] Duffy JF, Dijk DJ, Hall EF, et al. Relationship of endogenous circadian melatonin and temperature rhythms to self-reported preference for morning or evening activity in young and older people. J Investig Med. 1999; 47: 141-150.
Not checked in the free run.
- cites [15] Duffy JF, Rimmer DW, Czeisler CA. Association of intrinsic circadian period with morningness-eveningness, usual wake time, and circadian phase. Behav Neurosci. 2001; 115: 895-899. source
Not checked in the free run.
- cites [16] Roenneberg T, Merrow M. Entrainment of the human circadian clock. Cold Spring Harb Symp Quant Biol. 2007; 72: 293-299. source
Not checked in the free run.
May combine two claims.
Interpretationown dataThese data converge with previous work demonstrating that adequate sleep is associated with beneficial heart health behaviors and extend what is known by suggesting that sleep timing, in particular, late chronotype patterns, are associated with poor heart health behaviors.
“These data converge with previous work demonstrating that adequate sleep is associated with beneficial heart health behaviors and extend what is known by suggesting that sleep timing, in particular, late chronotype patterns are associated with poor heart health behaviors.”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: Self-reported current smoking status is a valid measure of tobacco use.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
May combine two claims.
Interpretationown dataShort and long sleep duration and late chronotype are associated with greater likelihood of cardiovascular risk behaviors.
“Short and long sleep duration and late chronotype are associated with greater likelihood of cardiovascular risk behaviors.”
- Also stated in: § Discussion · boosted
“these population-level data clearly suggest that short and long sleepers and late chronotypes are groups at increased risk for poor cardiovascular health behaviors.”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported sleep duration is a valid measure of habitual sleep duration.
- Rests on an assumption: Self-reported current smoking status is a valid measure of tobacco use.
- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
- Rests on an assumption: Self-reported fruit and vegetable intake are valid measures of dietary intake.
- Also stated in: § Discussion · boosted
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHigher levels of physical activity have been positively associated with sleep duration in younger and middle-aged men, but showed a curvilinear relationship in those aged 60 years or older.
“For example, higher levels of physical activity have been positively associated with sleep duration in younger and middle-aged men, but showed a curvilinear relationship in those aged 60 years or older [18].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] McClain JJ, Lewin DS, Laposky AD, et al. Associations between physical activity, sedentary time, sleep duration and daytime sleepiness in US adults. Prev Med. 2014; 66: 68-73. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLater meal timing has been associated with resistance to weight loss interventions.
“This is important because later meal timing has been associated with weight gain [29] as well as resistance to weight loss interventions [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Garaulet M, Gomez-Abellan P, Alburquerque-Bejar JJ, et al. Timing of food intake predicts weight loss effectiveness. Int J Obes. 2013; 37: 604-611. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSleep duration categories were based on previous data linking sleep duration to cardiometabolic disease risk in a US population sample.
“based on previous data linking sleep duration to cardiometabolic disease risk in a US population sample [44].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] Grandner MA, Chakravorty S, Perlis ML, et al. Habitual sleep duration associated with self-reported and objectively determined cardiometabolic risk factors. Sleep Med. 2014; 15: 42-50. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLate chronotypes may have poorer recovery from morning exercise.
“Early chronotypes perform activities better during the morning hours [21] while late chronotypes may have poorer recovery from morning exercise [22].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] Sugawara J, Hamada Y, Nishijima T, et al. Diurnal variations of post-exercise parasympathetic nervous reactivation in different chronotypes. Jpn Heart J. 2001; 42: 163-171. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSedentary behavior is highly associated with higher body mass index and lower activity levels.
“Sedentary behavior is also highly associated with higher body mass index and lower activity levels [75, 76].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [75] Bann D, Hire D, Manini T, et al. Light intensity physical activity and sedentary behavior in relation to body mass index and grip strength in older adults: Cross-sectional findings from the Lifestyle Interventions and Independence for Elders (LIFE) study. PLoS One. 2015; 10: e0116058. source
Not checked in the free run.
- cites [76] Taylor WC, Kimbro RT, Evans-Hudnall G, et al. Sedentary behavior, body mass index, and weight loss maintenance among African American women. Ethn Dis. 2015; 25: 38-45.
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationLater meal timing has been associated with weight gain.
“This is important because later meal timing has been associated with weight gain [29] as well as resistance to weight loss interventions [30].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] Gluck ME, Venti CA, Salbe AD, et al. Nighttime eating: Commonly observed and related to weight gain in an inpatient food intake study. Am J Clin Nutr. 2008; 88: 900-905. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEarly chronotypes perform activities better during the morning hours.
“Early chronotypes perform activities better during the morning hours [21] while late chronotypes may have poorer recovery from morning exercise [22].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Brown FM, Neft EE, LaJambe CM. Collegiate rowing crew performance varies by morningness-eveningness. J Strength Cond Res. 2008; 22: 1894-1900. source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataParticipants with missing data for sleep duration or chronotype were excluded, leaving 439,933 participants in the final sample.
“Participants with responses coded “don't know”, “prefer not to answer”, or missing data for sleep duration or chronotype were excluded leaving 439,933 participants in the final sample.”
Quote in the paperSubstantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTen or more hours of sitting per day increased cardiovascular disease risk by 18% (HR=1.18; 95% CI 1.09-1.29) compared to five or fewer hours.
“For example, ten or more hours of sitting per day increased cardiovascular diseases risk by 18 % (Hazard ratio = 1.18; 95% CI = 1.09–1.29) as compared to five or fewer hours [73]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] Chomistek AK, Manson JE, Stefanick ML, et al. Relationship of sedentary behavior and physical activity to incident cardiovascular disease: Results from the women’s health initiative. J Am Coll Cardiol. 2013; 61: 2346-2354. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLater bedtime, waketime, and midpoint of sleep are associated with lower levels of physical activity.
“In terms of sleep chronotype, a small number of studies have shown later bedtime, waketime, and midpoint of sleep to be associated with lower levels of physical activity [20].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] Shechter A, St-Onge MP. Delayed sleep timing is associated with low levels of free-living physical activity in normal sleeping adults. Sleep Med. 2014; 15: 1586-1589. source
Not checked in the free run.
May combine two claims.
PremisecitationBoth short and long sleep are predictive of poorer dietary intake.
“With regard to dietary intake, both short and long sleep are predictive of poorer dietary intake [23, 24].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [23] Grandner MA, Kripke DF, Naidoo N, et al. Relationships among dietary nutrients and subjective sleep, objective sleep, and napping in women. Sleep Med. 2010; 11: 180-184. source
Not checked in the free run.
- cites [24] Grandner MA, Jackson N, Gerstner JR, et al. Dietary nutrients associated with short and long sleep duration. Data from a nationally representative sample. Appetite. 2013; 64: 71-80. source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataAll multivariate analyses were adjusted for sex, race, college attendance, and employment.
“Participants included in the final analysis were significantly more likely to be female, white, college attendees, and employed; thus, all multivariate analyses were adjusted for these variables.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFour or more hours (versus ≤1) of screen-based sedentary behavior per day was associated with an adjusted twofold greater prevalence (PR=2.09; 95% CI 1.16, 3.75) of insulin levels indicative of hyperinsulinemia.
“while four or more hours (versus ≤1) of screen-based sedentary behavior per day (TV and recreational computer use) was associated with an adjusted twofold greater prevalence (Prevalence Ratio = 2.09; 95 % CI = 1.16, 3.75) of insulin levels indicative of hyperinsulinemia (N20 μU/mL) [74].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [74] Ford ES, Li C, Zhao G, et al. Sedentary behavior, physical activity, and concentrations of insulin among US adults. Metabolism. 2010; 59: 1268-1275. source
Not checked in the free run.
May combine two claims.
Study design and conductown dataParticipants included in the final analysis were significantly more likely to be female, white, college attendees, and employed.
“Participants included in the final analysis were significantly more likely to be female, white, college attendees, and employed; thus, all multivariate analyses were adjusted for these variables.”
Quote in the paperSubstantial claim- Rests on an assumption: The UK Biobank sample is representative of the UK adult population.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationData from the American Time Use Survey showed an inverse relationship between sleep duration and amount of time spent watching television.
“while data from the American Time Use Survey showed an inverse relationship between sleep duration and amount of time spent watching television [70]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] Basner M, Spaeth AM, Dinges DF. Sociodemographic characteristics and waking activities and their role in the timing and duration of sleep. Sleep. 2014; 37: 1889-1906. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne other study found long sleep duration to be associated with more television viewing than adequate sleep.
“One other study also found long sleep duration to be associated with more television viewing than adequate sleep [69]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] Hale L. Who has time to sleep? J Public Health (Oxf). 2005; 27: 205-211. source
Not checked in the free run.
May combine two claims.
PremisecitationLate chronotypes eat fewer fruits and vegetables and more saturated fats than early chronotypes.
“Chronotype has been shown to influence dietary intake such that late chronotypes consume more calories in the evening [25], eat fewer fruits and vegetables and more saturated fats [25–28] than early chronotypes.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [25] Baron KG, Reid KJ, Kern AS, et al. Role of sleep timing in caloric intake and BMI. Obesity (Silver Spring). 2011; 19: 1374-1381. source
Not checked in the free run.
- cites [26] Kanerva N, Kronholm E, Partonen T, et al. Tendency toward eveningness is associated with unhealthy dietary habits. Chronobiol Int. 2012; 29: 920-927. source
Not checked in the free run.
- cites [27] Schubert E, Randler C. Association between chronotype and the constructs of the three-factor-eating-questionnaire. Appetite. 2008; 51: 501-505. source
Not checked in the free run.
- cites [28] Lucassen EA, Zhao X, Rother K, et al. Evening chronotype is associated with changes in eating behavior, more sleep apnea, and increased stress hormones in short sleeping obese individuals. PLoS One. 2013; 8: e56519. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLow levels of physical activity have been associated with sleep disorders.
“Low levels of physical activity have been associated with sleep disorders [19].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Farnsworth JL, Kim Y, Kang M. Sleep disorders, physical activity, and sedentary behavior among U.S. adults: National Health and Nutrition Examination Survey. J Phys Act Health. 2015. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHigher levels of physical activity were observed in younger and middle-aged women who achieved at least 8 hours of sleep per day.
“Higher levels of physical activity were observed in younger and middle-aged women who achieved at least 8 hours of sleep per day [18].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] McClain JJ, Lewin DS, Laposky AD, et al. Associations between physical activity, sedentary time, sleep duration and daytime sleepiness in US adults. Prev Med. 2014; 66: 68-73. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationExposure to ambient light at night from urban lighting promotes lateness.
“For example, increasing light exposure in the natural environment shifts sleep timing earlier [91], while exposure to ambient light at night either from ereaders [92] or urban lighting [93] promotes “lateness.””
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [93] de la Iglesia HO, Fernandez-Duque E, Golombek DA, et al. Access to electric light is associated with shorter sleep duration in a traditionally hunter-gatherer community. J Biol Rhythm. 2015; 30: 342-350. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA recent meta-analysis showed that adults consuming five daily servings of fruit and vegetables (~400 g) had a 15% reduced risk of CVDs compared to adults who did not eat any fruit and vegetables over a 10.5-year follow-up.
“In terms of relating fruit and vegetable intake to risk for cardiovascular disease, a recent meta-analysis showed that adults consuming five daily servings of fruit and vegetables (∼400 g) had a 15 % reduced risk of CVDs, while those consuming 2.5 daily servings (∼200 g) had a 8 % reduced risk of CVDs compared to adults who did not eat any fruit and vegetables over a 10.5-year follow-up period [78”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [78] Zhan J, Liu YJ, Cai LB, et al. Fruit and vegetable consumption and risk of cardiovascular disease: A meta-analysis of prospective cohort studies. Crit Rev Food Sci Nutr. 2015. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStreet noise relates to poorer sleep quality.
“Noise from air conditioning and fans [94] and street noise relate to poorer sleep quality [94, 95] while improvements in urban housing quality [96] also improve sleep.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [94] Kayaba M, Ihara T, Kusaka H, et al. Association between sleep and residential environments in the summertime in Japan. Sleep Med. 2014; 15: 556-564. source
Not checked in the free run.
- cites [95] Persson Waye K. Effects of low frequency noise on sleep. Noise Health. 2004; 6: 87-91.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe study used self-report behavioral data.
“Main limitations include the use of self-report behavioral data and a cross-sectional design that prevents consideration of the temporal relationship between these variables.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA recent meta-analysis showed that adults consuming 2.5 daily servings of fruit and vegetables (~200 g) had an 8% reduced risk of CVDs compared to adults who did not eat any fruit and vegetables over a 10.5-year follow-up.
“In terms of relating fruit and vegetable intake to risk for cardiovascular disease, a recent meta-analysis showed that adults consuming five daily servings of fruit and vegetables (∼400 g) had a 15 % reduced risk of CVDs, while those consuming 2.5 daily servings (∼200 g) had a 8 % reduced risk of CVDs compared to adults who did not eat any fruit and vegetables over a 10.5-year follow-up period [78”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [78] Zhan J, Liu YJ, Cai LB, et al. Fruit and vegetable consumption and risk of cardiovascular disease: A meta-analysis of prospective cohort studies. Crit Rev Food Sci Nutr. 2015. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenPortion size for fruit and vegetable intake used UK (not USA) guidelines.
“These data should also be interpreted with consideration of the fact that the sleep duration variable did not distinguish between work days and free days [13] and that portion size for fruit and vegetable intake used UK (not USA) guidelines.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationConscientiousness is negatively associated with body mass index.
“Given that conscientiousness has been positively associated with habitual physical activity [83] and negatively associated with body mass index [84] and current tobacco use [85], it could be argued that personality characteristics are an integral part of explaining the variance in chronotype and positive health behaviors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [84] Mottus R, McNeill G, Jia X, et al. The associations between personality, diet and body mass index in older people. Health Psychol. 2013; 32: 353-360. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationConscientiousness is negatively associated with current tobacco use.
“Given that conscientiousness has been positively associated with habitual physical activity [83] and negatively associated with body mass index [84] and current tobacco use [85], it could be argued that personality characteristics are an integral part of explaining the variance in chronotype and positive health behaviors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [85] Terracciano A, Costa PT Jr. Smoking and the five-factor model of personality. Addiction. 2004; 99: 472-481. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationExposure to ambient light at night from ereaders promotes lateness.
“For example, increasing light exposure in the natural environment shifts sleep timing earlier [91], while exposure to ambient light at night either from ereaders [92] or urban lighting [93] promotes “lateness.””
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [92] Chang AM, Aeschbach D, Duffy JF, et al. Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proc Natl Acad Sci U S A. 2015; 112: 1232-1237. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationChronotype was estimated using self-categorization and not clock times that would have allowed identification of the sleep mid-point.
“Moreover, choronotype was estimated using self-categorization and not clock times that would have allowed the identification of the sleep mid-point [97].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] Burgess HJ, Savic N, Sletten T, et al. The relationship between the dim light melatonin onset and sleep on a regular schedule in young healthy adults. Behav Sleep Med. 2003; 1: 102-114. source
Not checked in the free run.
Classified as probably not a substantial claim.
Interpretationnone givenThe current study is one of the first large-scale population studies to concurrently evaluate the association between sleep duration and chronotype with physical activity, screen-based sedentary behavior, tobacco use, and dietary intake.
“The current study is one of the first large-scale population studies to concurrently evaluate the association between the sleep metrics of duration and chronotype with physical activity, screen-based sedentary behavior, tobacco use, and dietary intake.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNoise from air conditioning and fans relates to poorer sleep quality.
“Noise from air conditioning and fans [94] and street noise relate to poorer sleep quality [94, 95] while improvements in urban housing quality [96] also improve sleep.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [94] Kayaba M, Ihara T, Kusaka H, et al. Association between sleep and residential environments in the summertime in Japan. Sleep Med. 2014; 15: 556-564. source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataPromoting adequate sleep and earlier wake/sleep timing may be a necessary precursor in the MHBC sequence of achieving optimal change in tobacco, activity, and dietary behaviors.
“On this basis, it could be argued that promoting adequate sleep and earlier wake/sleep timing may be a necessary precursor in the MHBC sequence of achieving optimal change in tobacco, activity, and dietary behaviors.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationImprovements in urban housing quality improve sleep.
“Noise from air conditioning and fans [94] and street noise relate to poorer sleep quality [94, 95] while improvements in urban housing quality [96] also improve sleep.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [96] Simonelli G, Leanza Y, Boilard A, et al. Sleep and quality of life in urban poverty: The effect of a slum housing upgrading program. Sleep. 2013; 36: 1669-1676. source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationown dataShort and long sleepers and late chronotypes may benefit from clinical and population level approaches to encourage adequate sleep duration and earlier sleep/wake timing.
“Collectively, our data show that short and long sleepers (i.e., non-adequate sleepers) and late chronotypes may benefit from clinical and population level approaches to encourage adequate sleep duration and earlier sleep/wake timing.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationSleep is associated with cardiovascular morbidity and mortality.
“Sleep is associated with cardiovascular morbidity and mortality [90] and this population analysis has shown that sleep is significantly associated with all three of the main risk behaviors for poor heart health.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [90] Cappuccio FP, Cooper D, D’Elia L, et al. Sleep duration predicts cardiovascular outcomes: A systematic review and meta-analysis of prospective studies. Eur Heart J. 2011; 32: 1484-1492. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious studies have shown late chronotypes to have a tendency for a higher body mass index.
“Consistent with these data, previous studies have also shown late chronotypes to have less healthful dietary habits and a tendency for a higher body mass index (BMI) [27, 77].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [27] Schubert E, Randler C. Association between chronotype and the constructs of the three-factor-eating-questionnaire. Appetite. 2008; 51: 501-505. source
Not checked in the free run.
- cites [77] Sato-Mito N, Sasaki S, Murakami K, et al. The midpoint of sleep is associated with dietary intake and dietary behavior among young Japanese women. Sleep Med. 2011; 12: 289-294. source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataConsideration of how environment structures can be manipulated to promote better sleep may be important for better cardiovascular health.
“Given the current data showing the vulnerability of long sleepers and late chronotypes to poor heart health behaviors, consideration of how environment structures can be manipulated to promote better sleep may be important for better cardiovascular health.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
Interpretationown dataThese results represent a novel and important contribution to this literature.
“Nevertheless, these results showing that long sleepers and late chronotypes are more vulnerable to negative heart health behaviors represent a novel and important contribution to this literature.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious studies have shown late chronotypes to have less healthful dietary habits.
“Consistent with these data, previous studies have also shown late chronotypes to have less healthful dietary habits and a tendency for a higher body mass index (BMI) [27, 77].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [27] Schubert E, Randler C. Association between chronotype and the constructs of the three-factor-eating-questionnaire. Appetite. 2008; 51: 501-505. source
Not checked in the free run.
- cites [77] Sato-Mito N, Sasaki S, Murakami K, et al. The midpoint of sleep is associated with dietary intake and dietary behavior among young Japanese women. Sleep Med. 2011; 12: 289-294. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationConscientiousness is positively associated with habitual physical activity.
“Given that conscientiousness has been positively associated with habitual physical activity [83] and negatively associated with body mass index [84] and current tobacco use [85], it could be argued that personality characteristics are an integral part of explaining the variance in chronotype and positive health behaviors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [83] Courneya KS, Hellsten LA. Personality correlates of exercise behavior, motives, barriers and preferencs: An application of the five-factor model. Personal Individ Differ. 1998; 24: 625-633. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIncreasing light exposure in the natural environment shifts sleep timing earlier.
“For example, increasing light exposure in the natural environment shifts sleep timing earlier [91], while exposure to ambient light at night either from ereaders [92] or urban lighting [93] promotes “lateness.””
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [91] Wright KP Jr, McHill AW, Birks BR, et al. Entrainment of the human circadian clock to the natural light–dark cycle. Curr Biol. 2013. source
Not checked in the free run.
The paper relies on this without support.
Self-reported sleep duration is a valid measure of habitual sleep duration.
“Sleep duration was assessed with the survey item “About how many hours sleep do you get in every 24 h? (Please include naps.)””
“Further work is needed to determine whether these findings are maintained in the context of objective sleep and circadian estimates”
The paper relies on this without support.
Self-reported current smoking status is a valid measure of tobacco use.
“Self-reported current smoking status was evaluated using a single item: “About how many cigarettes did you smoke on average each day?””
The paper relies on this without support.
The UK Biobank sample is representative of the UK adult population.
“population data from the United Kingdom (UK) Biobank (application # 3474) were analyzed.”
“in a population sample of 439,933 adults.”
The paper relies on this without support.
Self-reported fruit and vegetable intake are valid measures of dietary intake.
“To evaluate fruit intake, participants were asked to consider their dietary intake in the last year and to answer: “About how many pieces of FRESH fruit would you eat per DAY?””
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In UK Biobank, adults with a morning chronotype consume a mean of 0.25 more servings of fruit and 0.13 more servings of vegetables per day than adults with an evening chronotype.
“Comparable with findings in adolescents and young adults, data from the UK Biobank project demonstrate that adults with a morning chronotype consume a mean of 0.25 more servings of fruit and 0.13 more servings of vegetables/d, as assessed through the use of 24-h recalls, than do adults with an evening chronotype (75).”
From Chronotype: Implications for Epidemiologic Studies on Chrono-Nutrition and Cardiometabolic Health (2019) · cites this paper as [75]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Very short sleep has two different cutoffs
MinorThe measures define very short sleep as four hours or fewer, while the analysis defines it as fewer than four hours. The definitions differ for participants reporting exactly four hours.
“very short (≤4 h), short (5–6 h), adequate (7–8 h), and long (≥9 h)”
“very short (<4 h), short (5-6 h), adequate (7-8 h) and long (nine or more hours) sleep”
Weekly walking minutes converted to the wrong number of hours
Minor328.5 minutes is 5.475 hours, or about 5.5 hours, not 6.3 hours.
Reported 6.3 · recomputed 5.475
“Participants reported engaging in a mean of 328.5 min (SD =377.0 min) or 6.3 h of walking activity each week.”
Direction of the sleep-duration association with vegetable intake changes
MinorThe results say longer sleep duration was positively associated with vegetable intake, but the discussion says it was associated with lower vegetable intake.
“Longer sleep duration and late chronotype were associated with lower daily fruit and vegetable intake”
“Longer sleep duration was negatively associated with daily fruit intake, but positively associated with vegetable intake (Table 3).”
Cites
International physical activity questionnaire: 12-country reliability and validity
CRAIG, C. L., MARSHALL, A. L., SJ??STR??M, M., BAUMAN, A. E., BOOTH, M. L., AINSWORTH, B. E., PRATT, M., EKELUND, U., YNGVE, A., SALLIS, J. F., et al. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000078924.61453.fb · Cited by 21,619 · see citing works
Actual causes of death in the United States
McGinnis, J. M. (1993) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1993.03510180077038 · Cited by 5,480 · see citing works
Actual Causes of Death in the United States, 2000
Mokdad, A. H. (2004) · JAMA · doi:10.1001/jama.291.10.1238 · Cited by 5,211 · see citing works
A self-assessment questionnaire to determine morningness- eveningness in human circadian rhythms
Home, J. K. (1976) · Medical Entomology and Zoology · Cited by 4,783 · see citing works
Lloyd-Jones, D. M., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L. J., Van Horn, L., Greenlund, K., Daniels, S., Nichol, G., Tomaselli, G. F., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192703 · Cited by 4,750 · see citing works
(1976) · PubMed · Cited by 3,979 · see citing works
Current Cigarette Smoking Among Adults — United States, 2016
Jamal, A., Phillips, E., Gentzke, A. S., Homa, D. M., Babb, S. D., King, B. A., & Neff, L. J. (2018) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6702a1 · Cited by 3,060 · see citing works
Social Jetlag: Misalignment of Biological and Social Time
Wittmann, M., Dinich, J., Merrow, M., & Roenneberg, T. (2006) · Chronobiology International · doi:10.1080/07420520500545979 · Cited by 2,625 · see citing works
Current Cigarette Smoking Among Adults — United States, 2005–2014
Jamal, A., Homa, D. M., O’Connor, E., Babb, S. D., Caraballo, R. S., Singh, T., Hu, S., & King, B. A. (2015) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6444a2 · Cited by 2,544 · see citing works
Cappuccio, F. P., Cooper, D., D'Elia, L., Strazzullo, P., & Miller, M. A. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehr007 · Cited by 2,146 · see citing works
Epidemiology of the human circadian clock
Roenneberg, T., Kuehnle, T., Juda, M., Kantermann, T., Allebrandt, K., Gordijn, M., & Merrow, M. (2007) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2007.07.005 · Cited by 1,545 · see citing works
Chang, A.-M., Aeschbach, D., Duffy, J. F., & Czeisler, C. A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418490112 · Cited by 1,430 · cited 1× · see citing works
“For example, increasing light exposure in the natural environment shifts sleep timing earlier [91], while exposure to ambient light at night either from ereaders [92] or urban lighting [93] promotes “lateness.”
BackgroundPharmacologic Aspects of Cigarette Smoking and Nicotine Addiction
Oates, J. A., Wood, A. J. J., & Benowitz, N. L. (1988) · New England Journal of Medicine · doi:10.1056/nejm198811173192005 · Cited by 963 · see citing works
Sleep Duration in the United States: A Cross-sectional Population-based Study
Krueger, P. M., & Friedman, E. M. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp023 · Cited by 791 · see citing works
Zhai, L., Zhang, H., & Zhang, D. (2015) · Depression and Anxiety · doi:10.1002/da.22386 · Cited by 786 · see citing works
Entrainment of the Human Circadian Clock to the Natural Light-Dark Cycle
Wright, K. P., McHill, A. W., Birks, B. R., Griffin, B. R., Rusterholz, T., & Chinoy, E. D. (2013) · Current Biology · doi:10.1016/j.cub.2013.06.039 · Cited by 783 · see citing works
Current Cigarette Smoking Among Adults—United States, 2011
Agaku, I. T., King, B. A., & Dube, S. R. (2013) · JAMA · doi:10.1001/jama.2012.114523 · Cited by 773 · see citing works
Timing of food intake predicts weight loss effectiveness
Garaulet, M., Gómez-Abellán, P., Alburquerque-Béjar, J. J., Lee, Y.-C., Ordovás, J. M., & Scheer, F. A. J. L. (2013) · International Journal of Obesity · doi:10.1038/ijo.2012.229 · Cited by 639 · see citing works
Duffy, J. F., Rimmer, D. W., & Czeisler, C. A. (2001) · Behavioral Neuroscience · doi:10.1037/0735-7044.115.4.895 · Cited by 571 · see citing works
Role of sleep timing in caloric intake and BMI
Baron, K. G., Reid, K. J., Kern, A. S., & Zee, P. C. (2011) · Obesity · doi:10.1038/oby.2011.100 · Cited by 549 · see citing works
UK Biobank: Current status and what it means for epidemiology
Allen, N., Sudlow, C., Downey, P., Peakman, T., Danesh, J., Elliott, P., Gallacher, J., Green, J., Matthews, P., Pell, J., et al. (2012) · Health Policy and Technology · doi:10.1016/j.hlpt.2012.07.003 · Cited by 521 · see citing works
Duffy, J. F., Dijk, D., Hall, E. F., & Czeisler, C. A. (1999) · Journal of Investigative Medicine · doi:10.1177/108155899904700310 · Cited by 431 · see citing works
Kvaavik, E. (2010) · Archives of Internal Medicine · doi:10.1001/archinternmed.2010.76 · Cited by 423 · see citing works
Smoking and the Five‐Factor Model of personality
Terracciano, A., & Costa, P. T. (2004) · Addiction · doi:10.1111/j.1360-0443.2004.00687.x · Cited by 422 · cited 1× · see citing works
“Given that conscientiousness has been positively associated with habitual physical activity [83] and negatively associated with body mass index [84] and current tobacco use [85], it could be argued that personality characteristics are an integral part of explaining the variance in chronotype and positive health behavi…”
BackgroundRelationship of Sedentary Behavior and Physical Activity to Incident Cardiovascular Disease
Chomistek, A. K., Manson, J. E., Stefanick, M. L., Lu, B., Sands-Lincoln, M., Going, S. B., Garcia, L., Allison, M. A., Sims, S. T., LaMonte, M. J., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.03.031 · Cited by 389 · cited 1× · see citing works
“29) as compared to five or fewer hours [73], while four or more hours (versus ≤1) of screen-based sedentary behavior per day (TV and recreational computer use) was associated with an adjusted twofold greater prevalence (Prevalence Ratio = 2.”
BackgroundPaine, S.-J., Gander, P. H., & Travier, N. (2006) · Journal of Biological Rhythms · doi:10.1177/0748730405283154 · Cited by 377 · see citing works
Associations of chronotype and sleep with cardiovascular diseases and type 2 diabetes
Merikanto, I., Lahti, T., Puolijoki, H., Vanhala, M., Peltonen, M., Laatikainen, T., Vartiainen, E., Salomaa, V., Kronholm, E., & Partonen, T. (2013) · Chronobiology International · doi:10.3109/07420528.2012.741171 · Cited by 368 · see citing works
Cigarette Smoking and Nocturnal Sleep Architecture
Zhang, L., Samet, J., Caffo, B., & Punjabi, N. M. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj231 · Cited by 348 · see citing works
A Review of Multiple Health Behavior Change Interventions for Primary Prevention
Prochaska, J. J., & Prochaska, J. O. (2011) · American Journal of Lifestyle Medicine · doi:10.1177/1559827610391883 · Cited by 321 · see citing works
Grandner, M. A., Jackson, N., Gerstner, J. R., & Knutson, K. L. (2013) · Appetite · doi:10.1016/j.appet.2013.01.004 · Cited by 310 · see citing works
Self-citationCigarette Smoking and Sleep Disturbance
Phillips, B. A. (1995) · Archives of Internal Medicine · doi:10.1001/archinte.1995.00430070088011 · Cited by 304 · see citing works
Nicotine, negative affect, and depression.
Hall, S. M., Muñoz, R. F., Reus, V. I., & Sees, K. L. (1993) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.61.5.761 · Cited by 303 · see citing works
Grandner, M. A., Chakravorty, S., Perlis, M. L., Oliver, L., & Gurubhagavatula, I. (2014) · Sleep Medicine · doi:10.1016/j.sleep.2013.09.012 · Cited by 300 · see citing works
Self-citationCourneya, K. S., & Hellsten, L.-A. M. (1998) · Personality and Individual Differences · doi:10.1016/s0191-8869(97)00231-6 · Cited by 294 · see citing works
Adult Participation in Aerobic and Muscle-Strengthening Physical Activities — United States, 2011
Harris, C. D., Watson, K. B., Carlson, S. A., Fulton, J. E., Dorn, J. M., & Elam–Evans, L. D. (2013) · PubMed Central · Cited by 279 · see citing works
Entrainment of the Human Circadian Clock
Roenneberg, T., & Merrow, M. (2007) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2007.72.043 · Cited by 272 · see citing works
(2013) · PubMed · Cited by 272 · see citing works
Morningness-Eveningness, Chronotypes and Health-Impairing Behaviors in Adolescents
Urbán, R., Magyaródi, T., & Rigó, A. (2011) · Chronobiology International · doi:10.3109/07420528.2010.549599 · Cited by 271 · see citing works
Trends in fruit and vegetable consumption among U.S. men and women, 1994-2005.
Blanck, H. M., Gillespie, C., Kimmons, J. E., Seymour, J. D., & Serdula, M. K. (2008) · PubMed Central · Cited by 265 · see citing works
Lucassen, E. A., Zhao, X., Rother, K. I., Mattingly, M. S., Courville, A. B., de Jonge, L., Csako, G., Cizza, G., & for the Sleep Extension Study Group (2013) · PLoS ONE · doi:10.1371/journal.pone.0056519 · Cited by 264 · see citing works
Cigarette smoking and sleep disturbance
Phillips, B. A. (1995) · Archives of Internal Medicine · doi:10.1001/archinte.155.7.734 · Cited by 256 · see citing works
Hale, L. (2005) · Journal of Public Health · doi:10.1093/pubmed/fdi004 · Cited by 243 · see citing works
How smoking affects sleep: A polysomnographical analysis
Jaehne, A., Unbehaun, T., Feige, B., Lutz, U. C., Batra, A., & Riemann, D. W. (2012) · Sleep Medicine · doi:10.1016/j.sleep.2012.06.026 · Cited by 233 · see citing works
Kinnunen, T., Doherty, K., Militello, F. S., & Garvey, A. (1996) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.64.4.791 · Cited by 223 · see citing works
Nicotine, negative affect, and depression.
Hall, S. M., Muñoz, R. F., Reus, V. I., et al. (1993) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.61.5.761 · Cited by 221 · see citing works
Relationships among dietary nutrients and subjective sleep, objective sleep, and napping in women
Grandner, M. A., Kripke, D. F., Naidoo, N., & Langer, R. D. (2010) · Sleep Medicine · doi:10.1016/j.sleep.2009.07.014 · Cited by 219 · see citing works
Self-citationZhan, J., Liu, Y.-J., Cai, L.-B., Xu, F.-R., Xie, T., & He, Q.-Q. (2017) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2015.1008980 · Cited by 217 · see citing works
Investigation of mechanisms linking depressed mood to nicotine dependence
Lerman, C., Audrain, J., Orleans, C. T., Boyd, R., Gold, K., Main, D., & Caporaso, N. (1996) · Addictive Behaviors · doi:10.1016/0306-4603(95)00032-1 · Cited by 209 · see citing works
Tendency toward eveningness is associated with unhealthy dietary habits
Kanerva, N., Kronholm, E., Partonen, T., Ovaskainen, M.-L., Kaartinen, N. E., Konttinen, H., Broms, U., & Männistö, S. (2012) · Chronobiology International · doi:10.3109/07420528.2012.699128 · Cited by 209 · see citing works
Social and behavioral determinants of perceived insufficient sleep
Grandner, M. A., Jackson, N. J., Izci-Balserak, B., Gallagher, R. A., Murray-Bachmann, R., Williams, N. J., Patel, N. P., & Jean-Louis, G. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00112 · Cited by 202 · see citing works
Self-citationDigdon, N. L., & Howell, A. J. (2008) · Chronobiology International · doi:10.1080/07420520802553671 · Cited by 201 · see citing works
Better Population Health Through Behavior Change in Adults: A Call to Action
Spring, B., Ockene, J. K., Gidding, S. S., Mozaffarian, D., Moore, S., Rosal, M. C., Brown, M. D., Vafiadis, D. K., Cohen, D. L., Burke, L. E., et al. (2013) · Circulation · doi:10.1161/01.cir.0000435173.25936.e1 · Cited by 195 · see citing works
Sato-Mito, N., Sasaki, S., Murakami, K., Okubo, H., Takahashi, Y., Shibata, S., Yamada, K., & Sato, K. (2011) · Sleep Medicine · doi:10.1016/j.sleep.2010.09.012 · Cited by 191 · see citing works
Morning people are stable people: Circadian rhythm and the higher-order factors of the Big Five
DeYoung, C. G., Hasher, L., Djikic, M., Criger, B., & Peterson, J. B. (2007) · Personality and Individual Differences · doi:10.1016/j.paid.2006.11.030 · Cited by 185 · cited 1× · see citing works
“Early chronotype is also associated with traits related to conscientiousness including lower levels of procrastination [81] and higher levels of self-control and emotional stability [81, 82].”
BackgroundMorningness–eveningness, sleep–wake variables and big five personality factors
Randler, C. (2008) · Personality and Individual Differences · doi:10.1016/j.paid.2008.03.007 · Cited by 172 · see citing works
The associations between personality, diet and body mass index in older people.
Mõttus, R., McNeill, G., Jia, X., Craig, L. C. A., Starr, J. M., & Deary, I. J. (2013) · Health Psychology · doi:10.1037/a0025537 · Cited by 171 · see citing works
Wittmann, M., Paulus, M. P., & Roenneberg, T. (2009) · Substance Use & Misuse · doi:10.3109/10826080903498952 · Cited by 169 · see citing works
Kinnunen, T., Doherty, K., Militello, F. S., et al. (1996) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.64.4.791 · Cited by 168 · see citing works
Prolonged sitting: is it a distinct coronary heart disease risk factor?
Dunstan, D. W., Thorp, A. A., & Healy, G. N. (2011) · Current Opinion in Cardiology · doi:10.1097/hco.0b013e3283496605 · Cited by 166 · see citing works
Increased Cardiometabolic Risk Is Associated with Increased TV Viewing Time
WIJNDAELE, K., HEALY, G. N., DUNSTAN, D. W., BARNETT, A. G., SALMON, J., SHAW, J. E., ZIMMET, P. Z., & OWEN, N. (2010) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181d322ac · Cited by 161 · see citing works
de la Iglesia, H. O., Fernández-Duque, E., Golombek, D. A., Lanza, N., Duffy, J. F., Czeisler, C. A., & Valeggia, C. R. (2015) · Journal of Biological Rhythms · doi:10.1177/0748730415590702 · Cited by 156 · see citing works
Basner, M., Spaeth, A. M., & Dinges, D. F. (2014) · Sleep · doi:10.5665/sleep.4238 · Cited by 151 · see citing works
Bann, D., Hire, D., Manini, T., Cooper, R., Botoseneanu, A., McDermott, M. M., Pahor, M., Glynn, N. W., Fielding, R., King, A. C., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116058 · Cited by 134 · see citing works
Nighttime eating: commonly observed and related to weight gain in an inpatient food intake study
Gluck, M. E., Venti, C. A., Salbe, A. D., & Krakoff, J. (2008) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/88.4.900 · Cited by 126 · see citing works
Burgess, H. J., Savic, N., Sletten, T., Roach, G., Gilbert, S. S., & Dawson, D. (2003) · Behavioral Sleep Medicine · doi:10.1207/s15402010bsm0102_3 · Cited by 125 · see citing works
Spring, B. J., Doran, N., Pagoto, S., Schneider, K. L., Pingitore, R., & Hedeker, D. (2004) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.72.5.785 · Cited by 125 · see citing works
McClain, J. J., Lewin, D. S., Laposky, A. D., Kahle, L., & Berrigan, D. (2014) · Preventive Medicine · doi:10.1016/j.ypmed.2014.06.003 · Cited by 112 · cited 2× · see citing works
“Higher levels of physical activity were observed in younger and middle-aged women who achieved at least 8 hours of sleep per day [18].”
BackgroundIs Self-Reported Morbidity Related to the Circadian Clock?
Taillard, J., Philip, P., Chastang, J.-F., Diefenbach, K., & Bioulac, B. (2001) · Journal of Biological Rhythms · doi:10.1177/074873001129001764 · Cited by 111 · see citing works
The benefits and challenges of multiple health behavior change in research and in practice
Prochaska, J. J., Nigg, C. R., Spring, B. J., Velicer, W. F., & Prochaska, J. O. (2009) · Preventive Medicine · doi:10.1016/j.ypmed.2009.11.009 · Cited by 109 · see citing works
Conscientiousness is a Predictor of Diurnal Preference
Hogben, A. L., Ellis, J., Archer, S. N., & von Schantz, M. (2007) · Chronobiology International · doi:10.1080/07420520701791596 · Cited by 98 · see citing works
Long-term consistency of diurnal-type preferences among men
Broms, U., Pitkäniemi, J., Bäckmand, H., Heikkilä, K., Koskenvuo, M., Peltonen, M., Sarna, S., Vartiainen, E., Kaprio, J., & Partonen, T. (2014) · Chronobiology International · doi:10.3109/07420528.2013.836534 · Cited by 96 · see citing works
A prospective study of weight gain associated with chronotype among college freshmen
Culnan, E., Kloss, J. D., & Grandner, M. (2013) · Chronobiology International · doi:10.3109/07420528.2013.782311 · Cited by 96 · see citing works
Self-citationAssociation between chronotype and the constructs of the Three-Factor-Eating-Questionnaire
Schubert, E., & Randler, C. (2008) · Appetite · doi:10.1016/j.appet.2008.03.018 · Cited by 93 · see citing works
Voinescu, B. I., Szentagotai, A., & David, D. (2012) · Journal of Neural Transmission · doi:10.1007/s00702-012-0862-3 · Cited by 91 · see citing works
Addressing sleep disturbances: an opportunity to prevent cardiometabolic disease?
Grandner, M. A. (2014) · International Review of Psychiatry · doi:10.3109/09540261.2014.911148 · Cited by 88 · cited 1× · see citing works
“As a common physiologic function that has been implicated in the etiology of cardiovascular risk behaviors [7–11], and diseases [12], sleep may be such a target.”
BackgroundSelf-citationSedentary behavior, physical activity, and concentrations of insulin among US adults
Ford, E. S., Li, C., Zhao, G., Pearson, W. S., Tsai, J., & Churilla, J. R. (2010) · Metabolism · doi:10.1016/j.metabol.2009.11.020 · Cited by 83 · see citing works
Sleep duration and survival percentiles across categories of physical activity
Bellavia, A., Akerstedt, T., Bottai, M., Wolk, A., & Orsini, N. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwt280 · Cited by 81 · see citing works
Rukstalis, M., Jepson, C., Patterson, F., & Lerman, C. (2005) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2005.02.002 · Cited by 78 · see citing works
Collegiate Rowing Crew Performance Varies by Morningness-Eveningness
Brown, F. M., Neft, E. E., & LaJambe, C. M. (2008) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0b013e318187534c · Cited by 76 · see citing works
Sleep and Quality of Life in Urban Poverty: The Effect of a Slum Housing Upgrading Program
Simonelli, G., Leanza, Y., Boilard, A., Hyland, M., Augustinavicius, J. L., Cardinali, D. P., Vallières, A., Pérez-Chada, D., & Vigo, D. E. (2013) · Sleep · doi:10.5665/sleep.3124 · Cited by 74 · see citing works
Haraszti, R. Á., Purebl, G., Salavecz, G., Poole, L., Dockray, S., & Steptoe, A. (2014) · Chronobiology International · doi:10.3109/07420528.2014.911188 · Cited by 72 · see citing works
Xiao, L., Huang, L., Schrack, J. A., Ferrucci, L., Zipunnikov, V., & Crainiceanu, C. M. (2015) · Biostatistics · doi:10.1093/biostatistics/kxu045 · Cited by 71 · see citing works
Shechter, A., & St-Onge, M.-P. (2014) · Sleep Medicine · doi:10.1016/j.sleep.2014.07.010 · Cited by 63 · see citing works
DIFFERENCES BETWEEN SMOKERS AND NONSMOKERS IN MORNINGNESS-EVENINGNESS
Randler, C. (2008) · Social Behavior and Personality: an international journal · doi:10.2224/sbp.2008.36.5.673 · Cited by 55 · see citing works
Comparative mood states and cognitive skills of cigarette smokers, deprived smokers and nonsmokers
Parrott, A. C., & Garnham, N. J. (1998) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/(sici)1099-1077(199807)13:5 · Cited by 53 · see citing works
Gender and the Association of Smoking with Sleep Quantity and Quality in American Adults
Mehari, A., Weir, N. A., & Gillum, R. F. (2014) · Women & Health · doi:10.1080/03630242.2013.858097 · Cited by 50 · see citing works
Farnsworth, J. L., Kim, Y., & Kang, M. (2015) · Journal of Physical Activity and Health · doi:10.1123/jpah.2014-0251 · Cited by 50 · cited 1× · see citing works
“Low levels of physical activity have been associated with sleep disorders [19].”
BackgroundSmoking during the night: Prevalence and smoker characteristics
Scharf, D. M., Dunbar, M. S., & Shiffman, S. M. (2008) · Nicotine & Tobacco Research · doi:10.1080/14622200701767787 · Cited by 49 · see citing works
Rodriguez, D., Tercyak, K. P., & Audrain-McGovern, J. (2007) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsm100 · Cited by 49 · see citing works
Circadian Preference and the Big Five: The Role of Impulsivity and Sensation Seeking
Russo, P. M., Leone, L., Penolazzi, B., & Natale, V. (2012) · Chronobiology International · doi:10.3109/07420528.2012.706768 · Cited by 49 · see citing works
Ishihara, K., Miyasita, A., Inugami, M., Fukuda, K., Yamazaki, K., & Miyata, Y. (1985) · Psychological Reports · doi:10.2466/pr0.1985.57.2.391 · Cited by 48 · see citing works
Effects of low frequency noise on sleep.
Waye, K. P. (2004) · PubMed · Cited by 47 · see citing works
Increase in anger symptoms after smoking cessation predicts relapse
Patterson, F., Kerrin, K., Wileyto, E. P., & Lerman, C. E. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2008.01.013 · Cited by 44 · see citing works
Self-citationBroms, U., Pennanen, M., & Patja (2012) · Journal of Addiction Research & Therapy · doi:10.4172/2155-6105.s2-002 · Cited by 41 · see citing works
Circadian Typology and Sensation Seeking in Adolescents
Muro, A., Gomà-i-Freixanet, M., & Adan, A. (2012) · Chronobiology International · doi:10.3109/07420528.2012.728665 · Cited by 40 · see citing works
Turco, M., Corrias, M., Chiaromanni, F., Bano, M., Salamanca, M., Caccin, L., Merkel, C., Amodio, P., Romualdi, C., De Pittà, C., et al. (2015) · Chronobiology International · doi:10.3109/07420528.2015.1078807 · Cited by 40 · see citing works
Exercise in Young Adulthood with Simultaneous and Future Changes in Fruit and Vegetable Intake
Jayawardene, W. P., Torabi, M., & Lohrmann, D. K. (2015) · Journal of the American College of Nutrition · doi:10.1080/07315724.2015.1022268 · Cited by 33 · see citing works
Diurnal Variations of Post-exercise Parasympathetic Nervous Reactivation in Different Chronotypes.
Sugawara, J., Hamada, Y., Nishijima, T., & Matsuda, M. (2001) · Japanese Heart Journal · doi:10.1536/jhj.42.163 · Cited by 24 · see citing works
Key Factors in Smoking Cessation Intervention Among 15-16-Year-Olds
Heikkinen, A. M., Broms, U., Pitkäniemi, J. M., Koskenvuo, M., & Meurman, J. H. (2009) · Behavioral Medicine · doi:10.1080/08964280903232035 · Cited by 20 · see citing works
Association between sleep and residential environments in the summertime in Japan
Kayaba, M., Ihara, T., Kusaka, H., Iizuka, S., Miyamoto, K., & Honda, Y. (2014) · Sleep Medicine · doi:10.1016/j.sleep.2013.11.784 · Cited by 17 · see citing works
Sedentary behavior, body mass index, and weight loss maintenance among African American women.
Taylor, W. C., Kimbro, R. T., Evans-Hudnall, G. L., McNeill, L. H., & Barnes, A. S. (2015) · PubMed · Cited by 10 · see citing works
Brook, J. S., Zhang, C., Brook, D. W., & Finch, S. J. (2011) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntr232 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Chronotype and psychiatric disorders
Kivelä, L., Papadopoulos, M. R., & Antypa, N. (2018) · Current Sleep Medicine Reports · doi:10.1007/s40675-018-0113-8 · Cited by 273 · see citing works
Chronotype: Implications for Epidemiologic Studies on Chrono-Nutrition and Cardiometabolic Health
Almoosawi, S., Vingeliene, S., Gachon, F., Voortman, T., Palla, L., Johnston, J. D., Van Dam, R. M., Darimont, C., & Karagounis, L. G. (2019) · Advances in Nutrition · doi:10.1093/advances/nmy070 · Cited by 247 · see citing works
The Association between Chronotype and Dietary Pattern among Adults: A Scoping Review
Mazri, F. H., Manaf, Z. A., Shahar, S., & Mat Ludin, A. F. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17010068 · Cited by 198 · see citing works
Zuraikat, F. M., St-Onge, M.-P., Makarem, N., Boege, H. L., Xi, H., & Aggarwal, B. (2021) · The Journal of Nutrition · doi:10.1093/jn/nxaa442 · Cited by 38 · see citing works
- Authors
- Patterson, F., Malone, S. K., Lozano, A., Grandner, M. A., & Hanlon, A. L.
- Affiliations
- University of Delaware (US)
- University of Pennsylvania (US)
- Drexel University (US)
- University of Arizona (US)
- Corresponding author
- Patterson, Freda
- Venue
- Annals of Behavioral Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-04-07
- Volume
- 50
- Issue
- 5
- Pages
- 715-726
- ISSN
- 0742-5554 (ISSN-L)
- 0883-6612
- 1532-4796
- PMC
- PMC5079686
- OpenAlex
- W2319834262
- Semantic Scholar
- ce0f61feec47bd22721c1d553e6f2806c1e6a522
- Cited by
- 144
- References
- 102
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 16 · 2023: 17 · 2022: 24 · 2021: 30 · 2020: 11 · 2019: 15 · 2018: 12 · 2017: 8 · 2016: 1
- FWCI
- 17.08
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of Behavioral Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Robert Wood Johnson Foundation (US) (69251)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- sleep duration, chronotype, screen-based sedentary behavior, tobacco use, smoking, diet, fruit and vegetable intake, cardiovascular risk factors, physical activity, television viewing, computer use, sleep timing, obesity
- MeSH terms
- Aged, Cardiovascular Diseases, Circadian Rhythm, Cross-Sectional Studies, Diet, Female, United Kingdom, Humans, Male, Middle Aged, Risk Factors, Sleep, Smoking, Exercise, Sedentary Behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review