Major health-related behaviours and mental well-being in the general population: the Health Survey for England
Open accessAbstract
Background: Major behavioural risk factors are known to adversely affect health outcomes and be strongly associated with mental illness. However, little is known about the association of these risk factors with mental well-being in the general population. We sought to examine behavioural correlates of high and low mental well-being in the Health Survey for England. Methods: Participants were 13 983 adults, aged 16 years and older (56% females), with valid responses for the combined 2010 and 2011 surveys. Mental well-being was assessed using the Warwick-Edinburgh Mental Well-being Scale (WEMWBS). ORs of low and high mental well-being, compared to the middle-range category, were estimated for body mass index (BMI), smoking, drinking habits, and fruit and vegetable intake. Results: ORs for low mental well-being were increased in obese individuals (up to 1.72, 95% CI 1.26 to 2.36 in BMI 40+ kg/m 2). They increased in a linear fashion with increasing smoking (up to 1.98, 95% CI 1.55 to 2.53, >20 cigarettes/day) and with decreasing fruit and vegetable intake (up to 1.53, 95% CI 1.24 to 1.90, <1 portion/day); whereas ORs were reduced for sensible alcohol intake (0.78, 95% CI 0.66 to 0.91, ≤4 units/day in men, ≤3 units/day in women). ORs for high mental well-being were not correlated with categories of BMI or alcohol intake. ORs were reduced among ex-smokers (0.81, 95% CI 0.71 to 0.92), as well as with lower fruit and vegetable intake (up to 0.79, 95% CI 0.68 to 0.92, 1 to <3 portions/day). Conclusions: Along with smoking, fruit and vegetable consumption was the health-related behaviour most consistently associated with mental well-being in both sexes. Alcohol intake and obesity were associated with low, but not high mental well-being.
AI snapshot
Written from the paper’s full text.
TL;DR
In a nationally representative sample of 13,983 English adults from the 2010/2011 Health Survey for England, smoking and fruit and vegetable intake were the behaviours most consistently associated with both low and high mental well-being. Obesity and alcohol intake were associated with low, but not high, mental well-being.
Key findings
- Low mental well-being was more likely in obese individuals: fully adjusted OR 1.24 (95% CI 1.04 to 1.43) for BMI 30–<40 kg/m² and 1.72 (95% CI 1.26 to 2.36) for BMI 40+ kg/m².
- Low mental well-being increased linearly with smoking, up to OR 1.98 (95% CI 1.55 to 2.53) for >20 cigarettes/day, and with decreasing fruit and vegetable intake, up to OR 1.53 (95% CI 1.24 to 1.90) for <1 portion/day; sensible alcohol intake was associated with reduced odds (OR 0.78, 95% CI 0.66 to 0.91).
- High mental well-being was not associated with BMI or alcohol categories, but odds were reduced among ex-smokers (OR 0.81, 95% CI 0.71 to 0.92) and with lower fruit and vegetable intake (OR 0.79, 95% CI 0.68 to 0.92 for 1 to <3 portions/day; OR 0.83, 95% CI 0.72 to 0.96 for 3 to <5 portions/day).
Methods
- Cross-sectional analysis of the combined 2010 and 2011 Health Survey for England, including 13,983 adults aged 16 years and older (56% females) with valid Warwick-Edinburgh Mental Well-being Scale (WEMWBS) responses.
- WEMWBS scores defined low (14–42), middle-range (43–59), and high (60–70) mental well-being groups; logistic regression estimated ORs of low and high mental well-being compared with the middle-range category.
- Models were unadjusted, partially adjusted for age and sex, and fully adjusted for sociodemographic variables plus BMI, smoking, alcohol drinking, and fruit and vegetable consumption.
Limitations
- The paper states that physical activity was not included because data were not collected in the 2010 and 2011 surveys, and that fruit and vegetable intake may act as a marker for other healthy lifestyles including physical activity.
- The paper states that the cross-sectional design cannot establish causality or temporality of the observed relationships.
- The paper states that the 66.0% participation rate, the percentage of WEMWBS complete responders, and the sample being from a developed western country may reduce generalisability to other populations and socioeconomic settings.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 54 cited sources checked · 0 supported · 0 flagged
- Findingown data
In fully adjusted models, odds of low mental well-being (vs middle-range) increased with increasing smoking category, up to OR 1.98 (95% CI 1.55 to 2.53) for heavy smokers (>20 cigarettes/day).
“They increased in a linear fashion with increasing smoking (up to 1.98, 95% CI 1.55 to 2.53, >20 cigarettes/day)”
- Also stated in: § Statistical analysis · plain
“Heavy Smoker >20/day | 3.16 (2.62–3.81) | 3.21 (2.67–3.87) | 1.98 (1.55–2.53) | <0.001”
Quote in the paperSubstantial claim - Also stated in: § Statistical analysis · plain
- Findingown data
In fully adjusted models, odds of high mental well-being (vs middle-range) were reduced among ex-smokers (OR 0.81, 95% CI 0.71 to 0.92).
“ORs were reduced among ex-smokers (0.81, 95% CI 0.71 to 0.92)”
- Also stated in: § Statistical analysis · plain
“Ex-Smoker | 0.88 (0.79–0.97) | 0.81 (0.73–0.90) | 0.81 (0.71–0.92) | 0.001”
Quote in the paperSubstantial claim - Also stated in: § Statistical analysis · plain
- Findingown data
In fully adjusted models, odds of low mental well-being (vs middle-range) were increased in class III obesity (BMI 40+ kg/m2) (OR 1.72, 95% CI 1.26 to 2.36).
“ORs for low mental well-being were increased in obese individuals (up to 1.72, 95% CI 1.26 to 2.36 in BMI 40+ kg/m2).”
- Also stated in: § Statistical analysis · plain
“40+ kg/m2 | 2.25 (1.73–2.93) | 2.28 (1.75–2.97) | 1.72 (1.26–2.36) | 0.001”
Quote in the paperSubstantial claim - Also stated in: § Statistical analysis · plain
- Findingown data
In fully adjusted models, odds of low mental well-being (vs middle-range) were reduced for sensible alcohol intake (≤4 units/day men, ≤3 units/day women) (OR 0.78, 95% CI 0.66 to 0.91).
“whereas ORs were reduced for sensible alcohol intake (0.78, 95% CI 0.66 to 0.91, ≤4 units/day in men, ≤3 units/day in women).”
- Also stated in: § Statistical analysis · plain
“≤4 /day/men or ≤3 /day/women | 0.59 (0.52–0.66) | 0.59 (0.52–0.67) | 0.78 (0.66–0.91) | 0.002”
Quote in the paperSubstantial claim - Also stated in: § Statistical analysis · plain
- Findingown data
In fully adjusted models, odds of low mental well-being (vs middle-range) were increased for <1 portion/day fruit and vegetable intake (OR 1.53, 95% CI 1.24 to 1.90).
“with decreasing fruit and vegetable intake (up to 1.53, 95% CI 1.24 to 1.90, <1 portion/day)”
- Also stated in: § Statistical analysis · plain
“<1 portion/day | 1.29 (1.94–2.70) | 2.35 (1.99–2.78) | 1.53 (1.24–1.90) | 0.000”
Quote in the paperSubstantial claim - Also stated in: § Statistical analysis · plain
- Findingown data
In fully adjusted models, odds of low mental well-being (vs middle-range) were increased in class I/II obesity (BMI 30-39.9 kg/m2) (OR 1.24, 95% CI 1.04 to 1.43).
“30 kg/m2 to <40 kg/m2 | 1.25 (1.10–1.43) | 1.31 (1.14–1.50) | 1.24 (1.04–1.43) | 0.012”
Quote in the paperSubstantial claim - Findingown data
In fully adjusted models, odds of high mental well-being (vs middle-range) were not associated with alcohol intake categories.
“ORs for high mental well-being were not correlated with categories of BMI or alcohol intake.”
- Also stated in: § Statistical analysis · plain
“≤4 /day/men or ≤3 /day/women | 0.95 (0.85–1.07) | 0.90 (0.80–1.01) | 0.94 (0.81–1.09)”
Quote in the paperNot a substantial claim - Also stated in: § Statistical analysis · plain
- Findingown data
In fully adjusted models, odds of high mental well-being (vs middle-range) were reduced for 1 to <3 portions/day fruit and vegetable intake (OR 0.79, 95% CI 0.68 to 0.92).
“as well as with lower fruit and vegetable intake (up to 0.79, 95% CI 0.68 to 0.92, 1 to <3 portions/day).”
- Also stated in: § Statistical analysis · plain
“1 to <3 portions/day | 0.71 (0.63–0.80) | 0.73 (0.65–0.83) | 0.79 (0.68–0.92) | 0.002”
Quote in the paperSubstantial claim - Also stated in: § Statistical analysis · plain
- Findingown data
Lower odds ratios of high mental well-being were found with reduced intakes of fruit and vegetables (OR 0.79, 95% CI 0.68 to 0.92, 1 to >3 portions/day; OR 0.83, 95% CI 0.72 to 0.96, 3-5 portions/day).
“as well as with reduced intakes of fruit and vegetables (0.79, 95% CI 0.68 to 0.92, 1 to > 3 portions/day; 0.83, 95% Cl 0.72 to 0.96, 3–5 portions/day.”
Quote in the paperSubstantial claim - Findingown data
In fully adjusted models, odds ratios for low mental well-being increased with decreasing fruit and vegetable intake (up to OR 1.53, 95% CI 1.24 to 1.90, >1 portion/day).
“and decreasing fruit and vegetable intake (up to 1.53, 95% CI 1.24 to 1.90, >1 portion/day).”
Quote in the paperSubstantial claim - Findingown data
In fully adjusted models, odds ratios for low mental well-being increased in a linear fashion with increasing smoking (up to OR 1.98, 95% CI 1.55 to 2.53, >20 cigarettes/day).
“They increased in a linear fashion with increasing smoking (up to 1.98, 95% CI 1.55 to 2.53, >20 cigarettes/day)”
Quote in the paperSubstantial claim - Findingown data
In sex-stratified analyses for high mental well-being, there were fewer significant associations.
“As to high mental well-being, in sex-stratified analyses (see online supplementary table S3) there were fewer significant associations.”
Quote in the paperNot a substantial claim - Findingown data
Significant associations were found in the distribution of the four major behaviours across the three categories of mental well-being.
“Significant associations were found in the distribution of the four major behaviours across the three categories of mental well-being.”
Quote in the paperSubstantial claim - Findingown data
In fully adjusted models, compared to the middle-range mental well-being category, there were no significant associations across BMI or alcohol intake categories for high mental well-being.
“in fully adjusted models there were no significant associations across BMI or alcohol intake categories.”
Quote in the paperNot a substantial claim - Findingown data
Lower odds ratios of high mental well-being were found among ex-smokers (OR 0.81, 95% CI 0.71 to 0.92).
“Lower ORs of high mental well-being were found among ex-smokers (0.81, 95% 0.71 to 0.92)”
- Also stated in: § Discussion · plain
“In our study, reduced ORs of high mental well-being were found among ex-smokers”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
In unadjusted and partially adjusted models, underweight (BMI <18.5 kg/m2) was significantly associated with low mental well-being.
“In unadjusted and partially adjusted models, underweight (BMI <18.5 kg/m2) was also significantly associated with low mental well-being”
Quote in the paperSubstantial claim - Findingown data
In fully adjusted models, compared to the middle-range mental well-being category, odds ratios for low mental well-being were reduced for sensible alcohol intake (≤4 units/day in men, ≤3 units/day in women; OR 0.78, 95% CI 0.66 to 0.91).
“and reduced for sensible alcohol intake (0.78, 95% CI 0.66 to 0.91, ≤4 units/day in men, ≤3 units/day in women).”
Quote in the paperSubstantial claim - Findingown data
The novel finding in our study is that, along with smoking, the behavioural risk factor most consistently associated with mental health was fruit and vegetable consumption.
“The novel finding in our study is that, along with smoking, the behavioural risk factor most consistently associated with mental health was fruit and vegetable consumption.”
- Also stated in: § Discussion · plain
“along with smoking, fruit and vegetable consumption was the health-related behaviour most consistently associated with low and high mental well-being in our study”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Study design and conductown data
Physical activity was not included in these analyses because data on this behaviour were not collected in the 2010 and 2011 Health Surveys for England.
“Physical activity was not included in these analyses because data on this behaviour were not collected in the 2010 and 2011 Health Surveys for England.”
- Also stated in: § Health-related behavioural risk factors · plain
“Data on physical activity were not collected in either the 2010 or 2011 surveys.”
Quote in the paperSubstantial claim - Also stated in: § Health-related behavioural risk factors · plain
- Premisenone given
The 2010 and 2011 HSE included general population samples of adults representative of the whole population at national and regional level.
“Both 2010 and 2011 HSE included general population samples of adults, representative of the whole population at national and regional level.”
Quote in the paperSubstantial claim - Interpretationown data
Along with smoking, fruit and vegetable consumption was the health-related behaviour most consistently associated with mental well-being in both sexes.
“Along with smoking, the behavioural risk factor most consistently associated with both low and high mental well-being in both sexes was fruit and vegetable consumption.”
- Also stated in: § Conclusions · plain
“Along with smoking, fruit and vegetable consumption was the health-related behaviour most consistently associated with mental well-being in both sexes.”
Quote in the paperSubstantial claim - Also stated in: § Conclusions · plain
- Interpretationcitation
The lack of associations between body weight and high mental well-being could be driven by the use of BMI, a measure of relative weight rather than body fat distribution, which has been more strongly correlated with health.
“the lack of associations between body weight and high mental well-being in our study could be driven by the use of BMI, a measure of relative weight rather than body fat distribution, which has been more strongly correlated with health.37”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] Bouchard, 1990, Basic and clinical aspects of regional fat distribution, Am J Clin Nutr source
Not checked in the free run.
- Interpretationcitation
Results are generally consistent with observational studies of the association between BMI and measures of health-related quality of life, including physical and mental health domains.
“Our results are also generally consistent with observational studies of the association between BMI and measures of health-related quality of life, including both physical and mental health domains.3 5”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
There is a high inverse correlation between WEMWBS scores and scores on the Center for Epidemiologic Studies Depression Scale (CES-D).
“there is a high inverse correlation between WEMWBS scores and scores on the Center for Epidemiologic Studies Depression Scale (CES-D)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] source
Not checked in the free run.
- Interpretationreasoning
The bottom 15th centile of the population in the current study comprised people whose mental health was poor to the point of probably warranting a clinical diagnosis of depression.
“The bottom 15th centile of the population in the current study thus comprised people whose mental health was poor to the point of probably warranting a clinical diagnosis of depression”
Quote in the paperSubstantial claim - Interpretationown data
The association of underweight with low mental well-being suggests a U-shaped association between body weight and mental health.
“thus suggesting a U-shaped association between body weight and mental health.”
Quote in the paperSubstantial claim - Interpretationcitation
The bottom 15th centile finding is consistent with estimates of clinically relevant levels of mental illness in the UK population.
“and is consistent with estimates of clinically relevant levels of mental illness in the UK population.33 34”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [33] Singleton N Bumpstead R O'Brien M . Psychiatric morbidity amongst adults living in private households in 2000. London: The Stationary Office, 2001.
Not checked in the free run.
- cites [34] McManus S Brugha T Meltzer H . Adult Psychiatric Morbidity in England 2007: results of a household survey. http://www.ic.nhs.uk/pubs/
Not checked in the free run.
- Premisecitation
WEMWBS is not a clinically validated measure of mental illness.
“it is not a clinically validated measure of mental illness”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] source
Not checked in the free run.
- Interpretationcitation
Findings with regard to correlates of low mental well-being were in keeping with those relating to mental illness.
“our findings with regard to correlates of low mental well-being were in keeping with those relating to mental illness.8–10”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [8] source
Not checked in the free run.
- cites [9] White M Adamson A Chadwick T . The changing social patterning of obesity: an analysis to inform practice and policy development. Public Health Research Consortium. Report No: 4, 2007.
Not checked in the free run.
- cites [10] Crawford V . Co-existing problems of mental disorder and substance misuse (‘Dual Diagnosis’): a review of relevant literature. Royal College of Psychiatrists’ Research and Training Unit. Final Report to the Department of Health, 2001.
Not checked in the free run.
- Study design and conductnone given
The sample was nationally representative of the English adult population.
“although our sample was nationally representative of the English adult population”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [21] source
Not checked in the free run.
- cites [23] Health Survey for England. Methodology and documentation. Data analysis and reporting. UK, 2011.
Not checked in the free run.
- Interpretationown data
These novel findings suggest that fruit and vegetable intake may play a potential role as a driver not just of physical but also of mental well-being in the general population.
“these novel findings suggest that fruit and vegetable intake may play a potential role as a driver not just of physical but also of mental well-being in the general population.”
Quote in the paperSubstantial claim - Study design and conductown data
We were not able to include physical activity in these analyses because data on this behaviour were not collected in the 2010 and 2011 Health Surveys for England.
“we were not able to include physical activity in these analyses because data on this behaviour were not collected in the 2010 and 2011 Health Surveys for England.”
Quote in the paperSubstantial claim
- The quote only partly states this claim. 2
- May combine two claims. 22
- Classified as probably not a substantial claim. 34
The quote only partly states this claim.
Findingown dataIn fully adjusted models, odds of high mental well-being (vs middle-range) were not associated with BMI categories.
“ORs for high mental well-being were not correlated with categories of BMI or alcohol intake.”
- Also stated in: § Statistical analysis · plain
“18.5 kg/m2 to 25 kg/m2 | Ref | Ref | Ref | | 0.326 | 0.791”
Quote in the paperSubstantial claim- Also stated in: § Statistical analysis · plain
May combine two claims.
Findingown dataIn sex-stratified analyses, increased odds ratios for low mental well-being were found in underweight or obese female participants, with no significant association across BMI categories among male participants.
“increased ORs for low mental well-being were found in underweight or obese female participants, with no significant association across BMI categories among male participants.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataIn fully adjusted models, compared to the middle-range mental well-being category, odds ratios for low mental well-being were increased for obese individuals (BMI 30-40 kg/m2: OR 1.24, 95% CI 1.04 to 1.43; BMI 40+ kg/m2: OR 1.72, 95% CI 1.26 to 2.36), especially in those with class III or extreme obesity, whereas there was no increased risk of low mental well-being in the overweight.
“in fully adjusted models odds ratios were increased for obese individuals (1.24, 95% CI 1.04 to 1.43, BMI 30-40kg/m2; 1.72, 95% CI 1.26 to 2.36, BMI: 40+ kg/m2);”
- Also stated in: § Discussion · plain
“We found that ORs of low mental well-being were increased among obese individuals, especially in those with class III or extreme obesity (BMI 40+ kg/m2), whereas there was no increased risk of low mental well-being in the overweight.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
May combine two claims.
Findingown dataIn sex-stratified analyses, odds for low mental well-being were increased in the lowest category of fruit and vegetable intake (<1 portion/day) in both sexes and reduced for sensible alcohol intake in both sexes.
“Odds were increased in the lowest category of fruit and vegetable intake (<1 portion/day) in both sexes and reduced for sensible alcohol intake in both sexes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn sex-stratified analyses, increased odds ratios for low mental well-being were observed in both current and ex-smokers among women, but not in male ex-smokers.
“increased ORs for low mental well-being were observed in both current and ex-smokers among women, but not in male ex-smokers.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFindings were generally consistent with the overall results for female participants but less so for men.
“Findings were generally consistent with these overall results for female participants but less so for men.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIndividuals in the highest mental well-being category were more likely to be overweight, but not more likely to be ideal body weight.
“they were more likely to be overweight, but not more likely to be ideal body weight.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIndividuals in the highest mental well-being category (WEMWBS score 60-70) were more likely to be never smokers and to report higher intakes of fruit and vegetables than those in the low or middle category.
“Individuals in the highest mental well-being category (WEMWBS score 60–70) were more likely to be never smokers and to report higher intakes of fruit and vegetables than those in the low or middle category;”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn sex-stratified analyses, odds ratios for high mental well-being were significantly reduced in ex-smokers of both sexes and in heavy female smokers, among harmful male drinkers, and across all categories of fruit and vegetable intake among female participants and one category in men.
“ORs for high mental well-being were significantly reduced in ex-smokers of both sexes and in heavy female smokers, among harmful male drinkers, and across all categories of fruit and vegetable intake among female participants and one category in men.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIndividuals in the lowest mental well-being category (WEMWBS score 14-42) were more likely to be obese, current smokers, never-drinkers or ex-drinkers and to report lower intakes of fruit and vegetables than those in the middle or highest category.
“Specifically, individuals in the lowest mental well-being category (WEMWBS score 14–42) were more likely to be obese, current smokers, never-drinkers or ex-drinkers and to report lower intakes of fruit and vegetables than those in the middle or highest category.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFruit and vegetable consumption was associated with increased odds of high mental well-being and reduced odds of low mental well-being, and these associations could be observed in men and women.
“The latter was associated with increased odds of high mental well-being and reduced odds of low mental well-being and these associations could be observed in men and women.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMajor behavioural risk factors such as obesity, smoking, excess alcohol consumption and poor dietary patterns account for large shares of the burden of morbidity and mortality, both nationally and globally.
“Major behavioural risk factors such as obesity, smoking, excess alcohol consumption and poor dietary patterns account for large shares of the burden of morbidity and mortality, both nationally and globally.1–3”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
PremisecitationPositive mental health or mental well-being has recently emerged as an important predictor of overall health and longevity.
“Positive mental health or mental well-being has recently emerged as an important predictor of overall health and longevity.12–14”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [12] World Health Organization. Mental health: new understanding, new hope. The World Health Report . Geneva, Switzerland: World Health Organization, 2001.
Not checked in the free run.
- cites [13] source
Not checked in the free run.
- cites [14] Huppert, 2009, Psychological well-being: evidence regarding its causes and consequences, Appl Psychol Health Well-Being source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenThe Health Survey for England is an annual survey of a nationally representative population sample of England.
“The Health Survey for England (HSE) is an annual survey of a nationally representative population sample of England.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataAlcohol intake and obesity were associated with low, but not high, mental well-being.
“Alcohol intake and obesity were associated with low, but not high mental well-being.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationThe Warwick-Edinburgh Mental Well-being Scale (WEMWBS) is a well-validated measure of mental well-being.
“This scale is a well validated, popular measure currently used to monitor mental well-being in the English public health outcomes framework and the Scottish Government's Mental Health Indicators data set.22 24 25”
Quote in the paperSubstantial claim0 of 1 sources checked- cites 22 24 25
Not checked in the free run.
May combine two claims.
Study design and conductreasoningThe cross-sectional nature of the study allowed examination of associations between mental well-being and multiple behaviours, but cannot establish causality or temporality of the observed relationships.
“Cross-sectional nature of the study allowed us to examine the associations between mental well-being and multiple behaviours, but it cannot establish the causality and temporality of the observed relationships.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataOf the 17 030 adults interviewed, 3047 (17.9%) had missing data on mental well-being scores, and the analysis used 13 983 adults with valid responses for the combined 2010 and 2011 data sets.
“Of these 17 030 adults, 3047 (17.9%) had missing data on mental well-being scores. For this analysis, data for the 13 983 adults who participated in the core surveys and with valid responses for the combined 2010 and 2011 data sets were used”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThis is the first comprehensive analysis of behavioural correlates of mental well-being in a large, nationally representative sample from the general population.
“This is the first comprehensive analysis of behavioural correlates of mental well-being in a large, nationally representative sample from the general population.”
Quote in the paperNot a substantial claim- Rests on an assumption: Epidemiological evidence on the behavioural correlates of mental well-being is sparse.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA considerable body of observational and experimental evidence links these behaviours to measures of health-related quality of life, mental illness and psychiatric comorbidities.
“A considerable body of observational and experimental evidence also links these behaviours to the measures of health-related quality of life, mental illness and psychiatric comorbidities.4–7”
Quote in the paperNot a substantial claim0 of 4 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe selection of covariates and confounders for multivariate analyses was based on a previous study from the same data sets.
“The selection of covariates and confounders for multivariate analyses was based on a previous study from the same data sets, which focused on demographic and socioeconomic correlates of mental well-being.30”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Stewart-Brown S Samaraweera P Taggart F . Socio-economic gradients and mental health: implications for public health. Br J Psychiatry (in press).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe fully adjusted model included age, sex, behavioural and sociodemographic correlates.
“fully adjusted (age, sex, behavioural and sociodemographic correlates; model 3) logistic regression modelling was used”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe 2010 and 2011 HSE had a 66% household response rate in both years.
“A total of 8420 adults were interviewed in the 2010 HSE, while a total of 8610 adults were interviewed in the 2011 HSE, with a 66% household response rate in both years.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningMissing values were included for all covariates in order to maximise sample size and avoid bias.
“In order to maximise sample size and avoid bias, missing values were included for all covariates.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn a recent systematic review, mental health assessed by the mental component score of the Short Form-36 was reduced among class III obese individuals, but was not significantly different among obese (class I and class II) participants, and increased among overweight adults, compared to normal weight individuals.
“In a recent systematic review of observational studies,36 mental health, as assessed by the mental component score of the Short Form-36, was reduced among class III obese individuals, but was not significantly different among obese (class I and class II) participants, and increased among overweight adults, compared to normal weight individuals.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWEMWBS is the measure of choice in the UK for mental well-being.
“While this is the measure of choice in the UK for mental well-being, it is not a clinically validated measure of mental illness”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere is evidence that up to 50% of tobacco is now smoked by people with a mental illness.
“There is evidence that up to 50% of tobacco is now smoked by people with a mental illness.8”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe findings are in line with evidence on the comorbidity between alcohol use disorders and mental health problems such as depression or anxiety.
“They are, for example, in line with the unquestionable evidence on the comorbidity between alcohol use disorders and mental health problems such as depression or anxiety.35”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] source
Not checked in the free run.
May combine two claims.
PremisecitationFindings mirror existing studies with regard to smoking, where evidence of correlation with both positive and negative measures of mental health have been presented, and there is some evidence that these associations may be causal.
“Our findings also mirror those from existing studies with regard to smoking, where evidence of correlation with both positive and negative measures of mental health have been presented, and there is some evidence that these associations may be causal.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMental health problems in childhood predict the adoption of unhealthy lifestyles in adolescence.
“Mental health problems in childhood also predict the adoption of unhealthy lifestyles in adolescence.11”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] source
Not checked in the free run.
May combine two claims.
PremisecitationThe Health Survey for England collected data on mental well-being in 2010 and 2011 using WEMWBS, as well as information on body weight, smoking, alcohol consumption, and fruit and vegetable intake.
“The Health Survey for England21 collected data on mental well-being in 2010 and 2011 using the Warwick-Edinburgh Mental Well-being Scale (WEMWBS),22 as well as information on body weight, smoking, alcohol consumption, and fruit and vegetable lifestyle intake.”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationA reduced risk of low mental well-being in people consuming alcohol within sensible drinking limits is in line with a U-shaped association supported by epidemiological data linking regular moderate consumption to better health outcomes than abstinence or heavy drinking.
“A reduced risk of low mental well-being in people consuming alcohol within the sensible drinking limits is also in line with a U-shaped association, as supported by a large body of epidemiological data linking regular moderate consumption of alcohol to better health outcomes than abstinence or heavy drinking, across several populations worldwide.3 4”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationObesity, alcohol and drug misuse are frequently associated with mental disorders.
“Likewise, obesity, alcohol and drug misuse are frequently associated with mental disorders.9 10”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 9 10
Not checked in the free run.
May combine two claims.
PremisecitationA WEMWBS score of 42 is below (clinically worse than) a CES-D score of 16 and just above (clinically better than) that consistent with a CES-D score of 26.
“A WEMWBS score of 42, which defined the cut point for the low mental well-being group in this study, is below (clinically worse than) a CES-D score of 16 and just above (clinically better than) that consistent with a CES-D score of 26”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Bianca D . Performance of the Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) as a screening tool for depression in UK and Italy. http://www2.warwick.ac.uk/fac/med/research/platform/wemwbs/development/papers/donatella_bianco-thesis.pdf
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe meta-analysis pooled results from 26 studies assessing anxiety, depression, mixed anxiety and depression, psychological quality of life, positive affect and stress.
“The review pooled together results from 26 studies, which assessed anxiety, depression, mixed anxiety and depression, psychological quality of life, positive affect and stress.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent compelling research suggests the economic benefits of promoting positive mental health are significant and wide-reaching.
“Recent compelling research suggests the economic benefits of promoting positive mental health are significant and wide-reaching.19 20”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 19 20
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA recent meta-analysis of observational studies examined changes in mental health after smoking cessation compared with continuing to smoke.
“a recent meta-analysis of observational studies examined changes in mental health after smoking cessation compared with continuing to smoke.38”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationMental well-being now assumes an important place in mental health and public health policy.
“As a consequence, mental well-being now assumes an important place in mental health and public health policy.16–18”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [16] HM Government. Healthy Lives Healthy People: Our strategy for Public Health in England. 2010. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/216096/dh_127424.pdf
Not checked in the free run.
- cites [17] HM Government. No health without mental health: a cross-governmental mental health outcomes strategy for people of all ages. 2011. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/213761/dh_124058.pdf
Not checked in the free run.
- cites [18] HM Government. Preventing suicide in England: one year on. First annual report on the cross government strategy to save lives. January 2014.
Not checked in the free run.
May combine two claims.
Study design and conductreasoningThe study is not able to disentangle the chronological order or causal nature of the associations found, or to examine the effects of cumulative experience of lifestyle factors across the life course.
“this study is not able to disentangle the chronological order or causal nature of the associations found, or to examine the effects of cumulative experience of lifestyle factors across the life course.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther studies have shown a dose-response relationship between mental and physical health up to seven portions a day.
“other studies have shown a dose–response relationship between mental42 and physical health43 up to seven portions a day.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe suboptimal participation rate (66.0%) and the percentage of WEMWBS complete responders might reduce the generalisability of our findings to different populations and socioeconomic settings.
“the suboptimal participation rate (66.0%) and the percentage of WEMWBS complete responders might reduce the generalisability of our findings to different populations and socioeconomic settings.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenTo the best of our knowledge, this is the first comprehensive analysis of health-related behavioural correlates of mental health in a nationally representative sample from the general population.
“To the best of our knowledge, this is the first comprehensive analysis of health-related behavioural correlates of mental health in a nationally representative sample from the general population”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe effect size of smoking cessation on mental health was as large for those with psychiatric disorders as for those without.
“The effect size was as large for those with psychiatric disorders as for those without.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe meta-analysis found that smoking cessation was associated with reduced depression, anxiety and stress, as well as with improved positive mood and quality of life compared with continuing to smoke.
“Findings showed that smoking cessation was associated with reduced depression, anxiety and stress, as well as with improved positive mood and quality of life compared with continuing to smoke.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenWe were only able to examine fruit and vegetable consumption up to five portions a day.
“We were only able to examine fruit and vegetable consumption up to five portions a day”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNine different antioxidants found in fruit and vegetables have been shown in another study to be associated with optimism in middle-aged adults.
“nine different antioxidants found in fruit and vegetables have been shown in another study to be associated with optimism in middle-aged adults.41”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThis is not the first study to draw attention to a relationship between mental health and fruit and vegetable consumption.
“This is not the first study to draw attention to a relationship between mental health, and fruit and vegetable consumption.39”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] Rooney, 2013, The potential role of fruit and vegetables in aspects of psychological well-being: a review of the literature and future directions, Proc Nutr Soc source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne recent study showed positive affect to be predictable on the basis of the current and previous days' fruit and vegetable consumption.
“one recent study40 showed positive affect to be predictable on the basis of the current and previous days’ fruit and vegetable consumption”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] White, 2013, Many apples a day keep the blues away—daily experiences of negative and positive affect and food consumption in young adults, Br J Health Psychol source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationOur finding is in line with a large body of epidemiological and trial evidence on the beneficial role of fruit and vegetable intake in general well-being and prevention of major chronic disease across several populations and age groups.
“Our finding is, of course, in line with a large body of epidemiological and trial evidence on the beneficial role of fruit and vegetable intake in general well-being and prevention of major chronic disease across several populations and age groups.28–29 44–46”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [28] DoH. 5 A DAY General Information. 2010. http://webarchive.nationalarchives.gov.uk/+/www.dh.gov.uk/en/Publichealth/Healthimprovement/FiveADay/FiveADaygeneralinformation/DH_4002343 (accessed 1 Oct 2011).
Not checked in the free run.
- cites [29] Agriculture USDo, Services USDoHaH. U.S. Department of Agriculture and Dietary Guidelines for Americans. 7th edn. Washington, DC: US Government Printing Office, 2010. http://health.gov/dietaryguidelines/dga2010/DietaryGuidelines2010.pdf (accessed 1 Oct 2011).
Not checked in the free run.
- cites [44] Myint, 2007, Fruit and vegetable consumption and self-reported functional health in men and women in the European Prospective Investigation into Cancer-Norfolk (EPIC-Norfolk): a population-based cross-sectional study, Public Health Nutr source
Not checked in the free run.
- cites [45] Takaoka, 2013, Fruit and vegetable consumption in adolescence and health in early adulthood: a longitudinal analysis of the statistics Canada's National Population Health Survey, BMC Public Health source
Not checked in the free run.
- cites [46] Hartley, 2013, Increased consumption of fruit and vegetables for the primary prevention of cardiovascular diseases, Cochrane Database Syst Rev
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Premisenone givenConsistent associations across all levels of mental health are more suggestive of an underlying causal relationship.
“Consistent associations across all levels of mental health are more suggestive of an underlying causal relationship.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe study allowed for the possibility that associations with low and high mental well-being may not mirror each other.
“which allowed for the possibility that associations with low and high mental well-being may not mirror each other.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenFruit and vegetable intake is likely to represent an overall marker for healthy lifestyles including physical activity.
“Fruit and vegetable intake is likely to represent an overall marker for healthy lifestyles including physical activity”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisereasoningIn studies in which mental health is examined as a continuum, positive findings such as those reported for alcohol intake may reflect strong associations with only one end of the continuum.
“In studies in which mental health is examined as a continuum, positive findings such as those reported for alcohol intake may reflect strong associations with only one end of the continuum.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningThe cross-sectional design of the study allowed examination of associations between mental well-being and multiple behaviours but did not allow establishment of causality and temporality of the observed relationships.
“while the cross-sectional design of the study allowed us to examine the associations between mental well-being and multiple behaviours, it did not allow us to establish the causality and temporality of the observed relationships.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Epidemiological evidence on the behavioural correlates of mental well-being is sparse.
“Epidemiological evidence on the behavioural correlates of mental well-being is sparse.”
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?
Previous situations of reduced well-being and impaired social environment have been found to be associated with overeating and being overweight as well as increased substance and screen use.
“Previous situations of reduced well-being and impaired social environment have been found to be associated with overeating and being overweight as well as increased substance and screen use [3-5].”
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.
High-well-being result misstates the intake range
MinorThe Results text labels the 0.79 odds ratio as applying to "1 to > 3" portions per day, while Table 3 labels it "1 to <3" portions per day.
“0.79, 95% CI 0.68 to 0.92, 1 to > 3 portions/day”
“| 1 to <3 portions/day | 0.71 (0.63–0.80) | 0.73 (0.65–0.83) | 0.79 (0.68–0.92)”
Unemployed count is incompatible with its percentage
MinorIn the low mental well-being group, 1,439 out of 2,252 participants would be 63.9%, not the reported 6.3%.
Reported 6.3 · recomputed 63.898757
“| Unemployed seeking work | 1439 (6.3) | 445 (4.7) | 108 (4.7) | |”
Low-well-being result reverses the intake category
MinorThe Results text assigns the odds ratio of 1.53 to more than one portion per day, whereas Table 2 assigns that same estimate and confidence interval to fewer than one portion per day.
“1.53, 95% CI 1.24 to 1.90, >1 portion/day”
“| <1 portion/day | 1.29 (1.94–2.70) | 2.35 (1.99–2.78) | 1.53 (1.24–1.90)”
Unadjusted odds ratio lies outside its confidence interval
MinorFor fewer than one fruit and vegetable portion per day, the unadjusted odds ratio is reported as 1.29, below its reported 95% CI of 1.94-2.70.
“| <1 portion/day | 1.29”
“1.94–2.70”
Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267 · see citing works
Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V., Abraham, J., Adair, T., Aggarwal, R., Ahn, S. Y., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61728-0 · Cited by 14,070 · see citing works
Lim, S. S., Vos, T., Flaxman, A. D., Danaei, G., Shibuya, K., Adair-Rohani, H., AlMazroa, M. A., Amann, M., Anderson, H. R., Andrews, K. G., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61766-8 · Cited by 11,805 · see citing works
Whiteford, H. A., Degenhardt, L., Rehm, J., Baxter, A. J., Ferrari, A. J., Erskine, H. E., Charlson, F. J., Norman, R. E., Flaxman, A. D., Johns, N., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61611-6 · Cited by 6,006 · see citing works
The Warwick-Edinburgh Mental Well-being Scale (WEMWBS): development and UK validation
Tennant, R., Hiller, L., Fishwick, R., Platt, S., Joseph, S., Weich, S., Parkinson, J., Secker, J., & Stewart-Brown, S. (2007) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-5-63 · Cited by 5,031 · see citing works
Self-citationRehm, J., Mathers, C., Popova, S., Thavorncharoensap, M., Teerawattananon, Y., & Patra, J. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60746-7 · Cited by 3,870 · see citing works
Penedo, F. J., & Dahn, J. R. (2005) · Current Opinion in Psychiatry · doi:10.1097/00001504-200503000-00013 · Cited by 2,851 · see citing works
Smoking and Mental Illness: A Population-Based Prevalence Study
Lasser, K., Boyd, J. W., Woolhandler, S., Himmelstein, D. U., McCormick, D., & Bor, D. H. (2000) · JAMA · doi:10.1001/jama.284.20.2606 · Cited by 2,508 · see citing works
The State of US Health, 1990-2010: Burden of Diseases, Injuries, and Risk Factors
Murray, C. J. L. (2013) · JAMA · doi:10.1001/jama.2013.13805 · Cited by 2,438 · see citing works
Prentice, T. (2013) · Res Medica · doi:10.2218/resmedica.v21i1.510 · Cited by 1,710 · see citing works
Mental Health: New Understanding, New Hope
Brundtland, G. H. (2001) · JAMA · doi:10.1001/jama.286.19.2391 · Cited by 1,606 · see citing works
Chida, Y., & Steptoe, A. (2008) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31818105ba · Cited by 1,592 · see citing works
Psychological well-being: evidence regarding its causes and consequences
Huppert, F. A. (2009) · Applied Psychology: Health and Well-Being · doi:10.1111/j.1758-0854.2009.01008.x · Cited by 1,583 · see citing works
Change in mental health after smoking cessation: systematic review and meta-analysis
Taylor, G., McNeill, A., Girling, A., Farley, A., Lindson-Hawley, N., & Aveyard, P. (2014) · BMJ · doi:10.1136/bmj.g1151 · Cited by 1,039 · cited 1× · see citing works
“For example, a recent meta-analysis of observational studies examined changes in mental health after smoking cessation compared with continuing to smoke.(38) The review pooled together results from 26 studies, which assessed anxiety, depression, mixed anxiety and depression, psychological quality of life, positive aff…”
BackgroundMcGuire, S. (2011) · Advances in Nutrition · doi:10.3945/an.111.000430 · Cited by 1,029 · see citing works
Fergusson, D. M., John Horwood, L., & Ridder, E. M. (2005) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00387.x · Cited by 946 · see citing works
Psychiatric morbidity among adults living in private households, 2000
Singleton, N., Bumpstead, R., O'Brien, M. S., Lee, A., & Meltzer, H. (2003) · International Review of Psychiatry · doi:10.1080/0954026021000045967 · Cited by 896 · see citing works
Adult psychiatric morbidity in England, 2007: Results of a household survey
Mcmanus, S., Meltzer, H., Brugha, T., Bebbington, P., & Jenkins, R. (2009) · Unpublished · doi:10.13140/2.1.1563.5205 · Cited by 814 · see citing works
Healthy lives, healthy people : our strategy for public health in England
Stationery Office (2010) · Medical Entomology and Zoology · Cited by 520 · see citing works
Oyebode, O., Gordon-Dseagu, V., Walker, A., & Mindell, J. S. (2014) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2013-203500 · Cited by 437 · see citing works
Increased consumption of fruit and vegetables for the primary prevention of cardiovascular diseases
Hartley, L., Igbinedion, E., Holmes, J., Flowers, N., Thorogood, M., Clarke, A., Stranges, S., Hooper, L., & Rees, K. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009874.pub2 · Cited by 381 · see citing works
Self-citationMental health promotion and mental illness prevention: the economic case
Knapp, M. R. J., McDaid, D., & Parsonage, M. (2011) · London School of Economics and Political Science Research Online (London School of Economics and Political Science) · Cited by 341 · see citing works
Cohort Profile: The Health Survey for England
Mindell, J., Biddulph, J. P., Hirani, V., Stamatakis, E., Craig, R., Nunn, S., & Shelton, N. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dyr199 · Cited by 312 · see citing works
Ul‐Haq, Z., Mackay, D. F., Fenwick, E., & Pell, J. P. (2013) · Obesity · doi:10.1002/oby.20107 · Cited by 311 · see citing works
Increased consumption of fruit and vegetables for the primary prevention of cardiovascular diseases
Hartley, L., Igbinedion, E., Thorogood, M., Clarke, A., Stranges, S., Hooper, L., & Rees, K. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009874 · Cited by 250 · see citing works
Self-citationIs Psychological Well-Being Linked to the Consumption of Fruit and Vegetables?
Blanchflower, D. G., Oswald, A. J., & Stewart-Brown, S. (2013) · Social Indicators Research · doi:10.1007/s11205-012-0173-y · Cited by 247 · see citing works
Self-citationBasic and clinical aspects of regional fat distribution
Bouchard, C., Bray, G., & Hubbard, V. (1990) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/52.5.946 · Cited by 191 · cited 1× · see citing works
“On the other hand, the lack of associations between body weight and high mental well-being in our study could be driven by the use of BMI, a measure of relative weight rather than body fat distribution, which has been more strongly correlated with health.(37) Our findings also mirror those from existing studies with r…”
ResultWhite, B., Horwath, C. C., & Conner, T. S. (2013) · British Journal of Health Psychology · doi:10.1111/bjhp.12021 · Cited by 171 · see citing works
Alcohol drinking pattern and subjective health in a population‐based study
Stranges, S., Notaro, J., Freudenheim, J. L., Calogero, R. M., Muti, P. C., Farinaro, E., Russell, M., Nochajski, T. H., & Trevisan, M. (2006) · Addiction · doi:10.1111/j.1360-0443.2006.01517.x · Cited by 143 · see citing works
Self-citationForesight Mental Capital and Wellbeing Project
Kirkwood, T. B. L., Bond, J., May, C. R., McKeith, I., & Teh, M. (2014) · Well Being · doi:10.1002/9781118539415.wbwell092 · Cited by 139 · see citing works
Socioeconomic gradients and mental health: implications for public health
Stewart-Brown, S. L., Samaraweera, P. C., Taggart, F. M., Kandala, N.-B., & Stranges, S. (2015) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.114.147280 · Cited by 138 · see citing works
Self-citationRooney, C., McKinley, M. C., & Woodside, J. V. (2013) · Proceedings of The Nutrition Society · doi:10.1017/s0029665113003388 · Cited by 130 · see citing works
Myint, P. K., Welch, A. A., Bingham, S. A., Surtees, P. G., Wainwright, N. W., Luben, R. N., Wareham, N. J., Smith, R. D., Harvey, I. M., Day, N. E., et al. (2007) · Public Health Nutrition · doi:10.1017/s1368980007222608 · Cited by 94 · see citing works
Association Between Optimism and Serum Antioxidants in the Midlife in the United States Study
Boehm, J. K., Williams, D. R., Rimm, E. B., Ryff, C., & Kubzansky, L. D. (2013) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31827c08a9 · Cited by 87 · see citing works
Estimating EQ-5D utility values for major health behavioural risk factors in England
Maheswaran, H., Petrou, S., Rees, K., & Stranges, S. (2013) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2012-201019 · Cited by 65 · see citing works
Self-citationAdams, P. S. (2007) · doi:10.4324/9780203967317-11 · Cited by 59 · see citing works
Franco, O. H., Wong, Y. L., Kandala, N.-B., Ferrie, J. E., Dorn, J. M., Kivimäki, M., Clarke, A., Donahue, R. P., Manoux, A. S., Freudenheim, J. L., et al. (2012) · European Journal of Epidemiology · doi:10.1007/s10654-012-9664-z · Cited by 48 · see citing works
Self-citationMental Health: Future Challenges
Jenkins, R., Meltzer, H., Jones, P. B., Brugha, T. S., Bebbington, P., Farrell, M., Crepaz‐Keay, D., & Knapp, M. R. J. (2008) · PsycEXTRA Dataset · doi:10.1037/e600402011-001 · Cited by 42 · see citing works
Foresight Mental Capital and Wellbeing Project. Mental health: Future challenges.
Jenkins, R., Meltzer, H., Jones, P. B., Brugha, T. S., Bebbington, P., Farrell, M. J., & Crepaz‐Keay, D. (2008) · Cited by 36 · see citing works
Takaoka, Y., & Kawakami, N. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-1206 · Cited by 20 · see citing works
The changing social patterning of obesity: an analysis to inform practice and policy development
Adamson, A., Chadwick, T. J., Dezateaux, C., Griffiths, G., Howel, D., Kelly, S. A., Law, C., Li, L., Lo, C., Power, C., et al. (2007) · Newcastle University ePrints (Newcastle Univesity) · doi:10.25405/ncl.34097658 · Cited by 9 · see citing works
Evolution of the human life cycle
Bogin, B., & Smith, B. H. (1996) · American Journal of Human Biology · doi:10.1002/(sici)1520-6300(1996)8:6
Flagged first, then by citations
2 of the 44 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Crawford V . Co-existing problems of mental disorder and substance misuse (‘Dual Diagnosis’): a review of relevant literature. Royal College of Psychiatrists’ Research and Training Unit. Final Report to the Department of Health, 2001.
- Bianca D . Performance of the Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) as a screening tool for depression in UK and Italy. http://www2.warwick.ac.uk/fac/med/research/platform/wemwbs/development/papers/donatella_bianco-thesis.pdf
Cited by
Sorted by citations
Linton, M.-J., Dieppe, P., & Medina-Lara, A. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-010641 · Cited by 638 · see citing works
Ng Fat, L., Scholes, S., Boniface, S., Mindell, J., & Stewart-Brown, S. (2017) · Quality of Life Research · doi:10.1007/s11136-016-1454-8 · Cited by 548 · see citing works
Self-citationLongitudinal associations between cyberbullying involvement and adolescent mental health
Fahy, A. E., Stansfeld, S. A., Smuk, M., Smith, N. R., Cummins, S., & Clark, C. (2016) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2016.06.006 · Cited by 457 · see citing works
Psychological consequences of COVID-19 home confinement: The ECLB-COVID19 multicenter study
Ammar, A., Mueller, P., Trabelsi, K., Chtourou, H., Boukhris, O. F., Masmoudi, L., Bouaziz, B., Brach, M., Schmicker, M., Bentlage, E., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240204 · Cited by 295 · see citing works
Rolland, B., Haesebaert, F., Zante, E., Benyamina, A., Haesebaert, J., & Franck, N. (2020) · JMIR Public Health and Surveillance · doi:10.2196/19630 · Cited by 287 · see citing works
Koushede, V., Lasgaard, M., Hinrichsen, C., Meilstrup, C., Nielsen, L., Rayce, S. B., Torres-Sahli, M., Guðmundsdóttir, D. G., Stewart-Brown, S. L., & Santini, Z. I. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.12.003 · Cited by 204 · see citing works
Self-citationAlgren, M. H., Ekholm, O., Nielsen, L., Ersbøll, A. K., Bak, C. K., & Andersen, P. T. (2018) · BMC Public Health · doi:10.1186/s12889-018-5170-x · Cited by 187 · see citing works
Cyberbullying and adolescent well-being in England: a population-based cross-sectional study
Przybylski, A. K., & Bowes, L. (2017) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(17)30011-1 · Cited by 175 · see citing works
Rolland, B., Haesebaert, F., Zante, É., Benyamina, A., Haesebaert, J., & Nicolas Franck, B. (2021) · JMIR Public Health and Surveillance · doi:10.2196/31906 · Cited by 170 · see citing works
Hu, Z. Y., Lin, X., Kaminga, A. C., & Xu, H. (2020) · Journal of Medical Internet Research · doi:10.2196/21176 · Cited by 178 · see citing works
Garrett, J. K., Clitherow, T. J., White, M. P., Wheeler, B. W., & Fleming, L. E. (2019) · Health & Place · doi:10.1016/j.healthplace.2019.102200 · Cited by 137 · see citing works
Physical activity promotion in primary care: a Utopian quest?
Lion, A., Vuillemin, A., Thornton, J. S., Theisen, D., Stranges, S., & Ward, M. (2018) · Health Promotion International · doi:10.1093/heapro/day038 · Cited by 123 · see citing works
Self-citationAssociations of physical activity with positive mental health: A population-based study
Tamminen, N., Reinikainen, J., Appelqvist‐Schmidlechner, K., Borodulin, K., Mäki-Opas, T. E., & Solin, P. (2020) · Mental health and physical activity · doi:10.1016/j.mhpa.2020.100319 · Cited by 111 · see citing works
Wang, S., Mak, H.-W., & Fancourt, D. (2019) · BMC Public Health · doi:10.1186/s12889-019-8109-y · Cited by 90 · see citing works
Boehnke, J. R., & Croudace, T. J. (2015) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.115.165530 · Cited by 78 · see citing works
Brown, A. C., Flint, S. W., Kalea, A. Z., O’Kane, M. P. M., Williams, S., & Batterham, R. L. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.100796 · Cited by 77 · see citing works
Gwinnutt, J. M., Wieczorek, M., Rodríguez‐Carrio, J., Balanescu, A. R., Bischoff-Ferrari, H. A., Boonen, A. E. R. C. H., Cavalli, G., de Souza, S., de Thurah, A. L., Dorner, T. E., et al. (2022) · RMD Open · doi:10.1136/rmdopen-2021-002167 · Cited by 77 · see citing works
Meegan, A. P., Perry, I. J., & Phillips, C. M. (2017) · Nutrients · doi:10.3390/nu9030238 · Cited by 73 · see citing works
Scholes, S., Bridges, S., Fat, L. N., & Mindell, J. S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151647 · Cited by 67 · see citing works
Ford, K., Bellis, M. A., Hughes, K. E., Barton, E. R., & Newbury, A. (2020) · Health & Justice · doi:10.1186/s40352-020-00115-5 · Cited by 65 · see citing works
Lifestyle behaviors, psychological distress, and well-being: A daily diary study
Anderson, A. R., & Fowers, B. J. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113263 · Cited by 62 · see citing works
Haapasalo, V., de Vries, H., Vandelanotte, C., Rosenkranz, R. R., & Duncan, M. J. (2018) · Preventive Medicine · doi:10.1016/j.ypmed.2018.09.003 · Cited by 61 · see citing works
Sapranavičiūtė-Zabazlajeva, L., Lukšienė, D., Virvičiūtė, D., Bobák, M., & Tamošiūnas, A. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-014240 · Cited by 48 · see citing works
Vaingankar, J. A., Chong, S. A., Abdin, E., Devi, F., Chua, B. Y., Sambasivam, R., Shafie, S., Jeyagurunathan, A., Seow, E., & Subramaniam, M. (2020) · Health and Quality of Life Outcomes · doi:10.1186/s12955-020-01308-0 · Cited by 44 · see citing works
Davison, J., Stewart-Knox, B. J., Connolly, P., Lloyd, K., Dunne, L., & Bunting, B. P. (2020) · Appetite · doi:10.1016/j.appet.2020.105020 · Cited by 45 · see citing works
Carnes, D., Mars, T., Plunkett, A., Nanke, L., & Abbey, H. (2017) · International Journal of Osteopathic Medicine · doi:10.1016/j.ijosm.2017.03.005 · Cited by 42 · see citing works
The Prevalence of Mental Ill Health in Elite Counter-Strike Athletes
Birch, P. D. J., Smith, M. J., Arumuham, A., de Gortari, A. B. O., & Sharpe, B. T. (2024) · Journal of Electronic Gaming and Esports · doi:10.1123/jege.2024-0006 · Cited by 39 · see citing works
Massey, H. C., Kandala, N.-B., Davis, C., Harper, C. M., Gorczynski, P. F., & Denton, H. (2020) · Lifestyle Medicine · doi:10.1002/lim2.12 · Cited by 41 · see citing works
Self-citationAlias, S. B., Nadal, R. M., Moral, I., Figuls, M. R. I., Luque, X. R. I., & Coll‐Planas, L. (2021) · BMC Public Health · doi:10.1186/s12889-020-10094-9 · Cited by 40 · see citing works
Budzynski‐Seymour, E., Conway, R. E., Wade, M., Lucas, A., Jones, M. A., Mann, S., & Steele, J. (2020) · Journal of Physical Activity and Health · doi:10.1123/jpah.2019-0431 · Cited by 37 · see citing works
Appelqvist‐Schmidlechner, K., Vaara, J. P., Vasankari, T. J., HÄKKINEN, A. H., Mäntysaari, M., & Kyröläinen, H. (2020) · BMC Public Health · doi:10.1186/s12889-020-09175-6 · Cited by 35 · see citing works
Appleton, A., James, R., & LARSEN, J. A. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15071333 · Cited by 34 · see citing works
Ugwueze, F. C., Agbaje, O. S., Umoke, P. C. I., & Ozoemena, E. L. (2021) · American Journal of Men s Health · doi:10.1177/15579883211008337 · Cited by 40 · see citing works
Villadsen, A., Patalay, P., & Bann, D. (2021) · Psychological Medicine · doi:10.1017/s0033291721004657 · Cited by 36 · see citing works
Identifying mental health status using deep neural network trained by visual metrics
Shafiei, S. B., Lone, Z. M., Elsayed, A. S., Hussein, A. A., & Guru, K. A. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01117-5 · Cited by 33 · see citing works
Sapranavičiūtė-Zabazlajeva, L., Šileikienė, L., Lukšienė, D., Tamošiūnas, A., Radišauskas, R., Milvidaitė, I., & Bobák, M. (2022) · BMC Public Health · doi:10.1186/s12889-022-13413-4 · Cited by 34 · see citing works
Hayhoe, R. P. G., Rechel, B. P. D., Clark, A., Gummerson, C., Smith, S., & Welch, A. A. (2021) · BMJ Nutrition Prevention & Health · doi:10.1136/bmjnph-2020-000205 · Cited by 33 · see citing works
Cummins, S., Clark, C., Lewis, D. J., Smith, N., Thompson, C., Smuk, M., Stansfeld, S. A., Taylor, S. J., Fahy, A., Greenhalgh, T., et al. (2018) · Public Health Research · doi:10.3310/phr06120 · Cited by 30 · see citing works
Yitbarek, K., Birhanu, Z., Tucho, G. T., Anand, S., Agenagnew, L., Ahmed, G., Getnet, M., & Tesfaye, Y. (2021) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s298190 · Cited by 30 · see citing works
Johnson, R., Robertson, W., Towey, M., Stewart-Brown, S. L., & Clarke, A. (2017) · Public Health · doi:10.1016/j.puhe.2017.01.012 · Cited by 30 · see citing works
Self-citationStrahler, J., Nater, U. M., & Skoluda, N. (2019) · Annals of Behavioral Medicine · doi:10.1093/abm/kaz018 · Cited by 29 · see citing works
GPs’ mental wellbeing and psychological resources: a cross-sectional survey
Murray, M., Cardwell, C. R., & Donnelly, M. (2017) · British Journal of General Practice · doi:10.3399/bjgp17x691709 · Cited by 26 · see citing works
Shannon, S., Breslin, G., Prentice, G., & Leavey, G. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113393 · Cited by 21 · see citing works
COVID-19 stressors, wellbeing and health behaviours: a cross-sectional study
Bell, L., Smith, R., van de Venter, E. C., Shuttleworth, C., Wilson, K. S., & Lycett, D. (2021) · Journal of Public Health · doi:10.1093/pubmed/fdab241 · Cited by 23 · see citing works
Abbott, W., Brownlee, T. E., Harper, L. D., Naughton, R. J., Richardson, A., & Clifford, T. (2019) · European Journal of Sport Science · doi:10.1080/17461391.2019.1600586 · Cited by 22 · see citing works
Vaingankar, J. A., Abdin, E., Chong, S. A., Sambasivam, R., Jeyagurunathan, A., Seow, E., Picco, L., Pang, S., Lim, S. L. ‐., & Subramaniam, M. (2016) · Health and Quality of Life Outcomes · doi:10.1186/s12955-016-0424-8 · Cited by 22 · see citing works
Dong, A., Zhang, X., Zhou, H., Chen, S., Zhao, W., Wu, M., Guo, J., & Guo, W. (2019) · Health and Quality of Life Outcomes · doi:10.1186/s12955-019-1120-2 · Cited by 21 · see citing works
Ruiz‐Castell, M., Kandala, N., Perquin, M., Bocquet, V. G., Kuemmerle, A., Vögele, C., & Stranges, S. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.06.056 · Cited by 20 · see citing works
Self-citationFabbri, C., Mutz, J., Lewis, C. M., & Serretti, A. (2021) · Psychological Medicine · doi:10.1017/s003329172100502x · Cited by 19 · see citing works
Assessing the mental wellbeing of next generation general practitioners: a cross-sectional survey
Lindemann, F., Rozsnyai, Z., Zumbrunn, B., Laukenmann, J., Kronenberg, R., & Streit, S. (2019) · BJGP Open · doi:10.3399/bjgpopen19x101671 · Cited by 19 · see citing works
Tseliou, F., & Ashfield-Watt, P. (2022) · BMC Public Health · doi:10.1186/s12889-022-13013-2 · Cited by 16 · see citing works
Lopes, S. L., Ferreira, A. I., & Prada, R. (2023) · International Journal of Social Robotics · doi:10.1007/s12369-023-01000-5 · Cited by 17 · see citing works
Analyzing Personal Happiness from Global Survey and Weather Data: A Geospatial Approach
Peng, Y.-F., Tang, J.-H., Fu, Y.-C., Fan, I.-C., Hor, M.-K., & Chan, T. (2016) · PLoS ONE · doi:10.1371/journal.pone.0153638 · Cited by 17 · see citing works
Hibino, S., & Hayashida, K. (2022) · Nutrients · doi:10.3390/nu14091876 · Cited by 15 · see citing works
Papachristou, E., Flouri, E., Kokosi, T., & Francesconi, M. (2019) · Quality of Life Research · doi:10.1007/s11136-019-02143-7 · Cited by 15 · see citing works
Patre, D. D., de Winckel, A. V., Panté, F., Rizzello, C., Zernitz, M., Mansour, M., Zordan, L., Zeffiro, T. A., O’Connor, E. E., Bisson, T. A., et al. (2017) · Neurology Report · doi:10.1097/npt.0000000000000189 · Cited by 15 · see citing works
The hierarchical framework of wellbeing (HiFWB)
Disabato, D. J., Goodman, F. R., & Kashdan, T. B. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1515423 · Cited by 14 · see citing works
Brown, A. C., Flint, S. W., Dicken, S. J., Kalea, A. Z., O’Kane, M. P. M., Williams, S., Wong, E., & Batterham, R. L. (2022) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.13120 · Cited by 13 · see citing works
Pineo, H., Clifford, B. P., Eyre, M. T., & Aldridge, R. W. (2024) · Wellbeing Space and Society · doi:10.1016/j.wss.2024.100192 · Cited by 12 · see citing works
Komati, N., Ríboli, E., Dore, J. M., Boyland, E. J., Cravedi, J., Folkvord, F., Lecerf, J., Lescourret, F., Peeters, A., Reynolds, C. J., et al. (2025) · European Journal of Nutrition · doi:10.1007/s00394-025-03610-3 · Cited by 13 · see citing works
Self-citationIrizar, P., Gage, S. H., Fallon, V., & Goodwin, L. (2022) · BMC Psychiatry · doi:10.1186/s12888-022-04054-3 · Cited by 11 · see citing works
de Vries, L. P., Demange, P., Baselmans, B. M. L., Vinkers, C. H., Pelt, D. H. M., & Bartels, M. (2023) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32954 · Cited by 11 · see citing works
Health literacy and mental well-being among university students in the United States
Beasley, L., Hoffman, S., & Houtz, J. (2023) · Journal of American College Health · doi:10.1080/07448481.2023.2199335 · Cited by 10 · see citing works
Maintaining a Sustainable Work–Life Balance
Kruyen, P., Andre, S., & HEIJDEN, B. I. J. M. V. D. (2024) · Edward Elgar Publishing eBooks · doi:10.4337/9781803922348 · Cited by 9 · see citing works
The psychometric properties of the Italian adaptation of the Health Orientation Scale (HOS)
Masiero, M. A., Oliveri, S., Cutica, I., Monzani, D., Faccio, F., Mazzocco, K., & Pravettoni, G. (2020) · Health and Quality of Life Outcomes · doi:10.1186/s12955-020-01298-z · Cited by 8 · see citing works
Fuller-Thomson, E., Lung, Y., West, K. J., Keyes, C. L. M., & Baiden, P. (2020) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2020.110176 · Cited by 8 · see citing works
Breakfast Consumption and Diet Quality of Teens in Southwestern Ontario
Woods, N., Seabrook, J. A., Haines, J., Stranges, S., Minaker, L. M., O’Connor, C. P., Doherty, S. T., & Gilliland, J. (2022) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2022.100003 · Cited by 8 · see citing works
Self-citationEvidence Report: Risk Factor of Inadequate Nutrition
Smith, S. M., Zwart, S. R., & Heer, M. A. (2015) · NASA STI Repository (National Aeronautics and Space Administration) · Cited by 8 · see citing works
Thompson, T., Callaghan, L., Hazeldine, E., Quinn, C., Walker, S., Byng, R., Wallace, G., Creanor, S., Green, C., Hawton, A., et al. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-023123 · Cited by 7 · see citing works
Evaluación psicométrica en profesionales de enfermería de cuidados paliativos
Oliver, A., Sansó, N., Galiana, L., Tomás, J. M., & Benito, E. (2017) · Aquichan · doi:10.5294/aqui.2017.17.2.7 · Cited by 7 · see citing works
Solin, P., Reinikainen, J., Martelin, T. P., & Tamminen, N. (2019) · Journal of Public Mental Health · doi:10.1108/jpmh-02-2019-0026 · Cited by 7 · see citing works
Niven, A. G., & Strain, T. (2023) · Mental health and physical activity · doi:10.1016/j.mhpa.2023.100556 · Cited by 6 · see citing works
Gulyas, B. Z., Caton, S. J., & Edmondson, J. L. (2024) · BMC Public Health · doi:10.1186/s12889-024-18249-8 · Cited by 5 · see citing works
He, J., & Qiu, L. (2022) · Sustainability · doi:10.3390/su142215187 · Cited by 6 · see citing works
The psychosocial work conditions and mental well-being of independent school heads in South Africa
Breedt, J. E., Marais, B., & Patricios, J. (2023) · SA Journal of Human Resource Management · doi:10.4102/sajhrm.v21i0.2203 · Cited by 6 · see citing works
Davies, M., Lewis, N. M., & Moon, G. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.04.012 · Cited by 6 · see citing works
Callaghan, L., Thompson, T., Creanor, S., Quinn, C., Senior, J., Green, C., Hawton, A., Byng, R., Wallace, G., Sinclair, J., et al. (2019) · Public Health Research · doi:10.3310/phr07200 · Cited by 6 · see citing works
Parry, W. (2015) · UCL Discovery (University College London) · doi:10.13140/rg.2.1.2468.5200 · Cited by 6 · see citing works
McMaughan, D. J., Lewis, C., McGehee, A. L., Noreen, D., Parker, E., & Criss, M. M. (2023) · JMIR Research Protocols · doi:10.2196/52658 · Cited by 5 · see citing works
Thilsing, T., Sønderlund, A. L., Søndergaard, J., Svensson, N. H., Christensen, J. R., Thomsen, J. L., Hvidt, N. C., & Larsen, L. B. (2020) · JMIR Public Health and Surveillance · doi:10.2196/16083 · Cited by 5 · see citing works
Mańczuk, M., Łobaszewski, J., Sulkowska, U., Hashim, D., & Boffetta, P. (2018) · European Journal of Cancer Prevention · doi:10.1097/cej.0000000000000429 · Cited by 5 · see citing works
Gücük, S., Erim, B. R., & Kayhan, M. (2021) · Tobacco Prevention & Cessation · doi:10.18332/tpc/131627 · Cited by 5 · see citing works
Well-being and mental health of healthcare workers before, during, and after COVID-19
Lagunes-Córdoba, E. (2021) · Salud Mental · doi:10.17711/sm.0185-3325.2021.027 · Cited by 5 · see citing works
Stochastic Multi-Agent-Based Model to Measure Community Resilience-Part 2: Simulation ResultsPreprint
Valinejad, J., Mili, L., Triantis, K. P., von Spakovsky, M. R., & van der Wal, C. N. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.05185 · Cited by 5 · see citing works
Sargeant, E., Murphy, K., Barkworth, J. M., & Howard, M. V. A. (2025) · Criminal Justice and Behavior · doi:10.1177/00938548251400649 · Cited by 5 · see citing works
Schiavon, C. C., Marchetti, E., Ayala, F. O., Loewe, G., Bauer, J., Busnello, F. M., & Reppold, C. T. (2020) · PLoS ONE · doi:10.1371/journal.pone.0236693 · Cited by 4 · see citing works
Pregnancy, Mental Well-Being and Lockdown: A Nationwide Online Survey in France
Gaucher, L., Barasinski, C., Dupont, C., Razurel, C., Pichon, S., Leavy, E., Savelon, S. V., Cortet, M., Nicolas Franck, B., Haesebaert, F., et al. (2022) · Healthcare · doi:10.3390/healthcare10101855 · Cited by 4 · see citing works
Phulkerd, S., Thapsuwan, S., Thongcharoenchupong, N., Chamratrithirong, A., & Gray, R. S. (2020) · Ecology of Food and Nutrition · doi:10.1080/03670244.2020.1850448 · Cited by 4 · see citing works
Budzynski‐Seymour, E., Conway, R. E., Wade, M., Lucas, A., Jones, M., Mann, S., & Steele, J. (2019) · doi:10.31236/osf.io/xaum3 · Cited by 4 · see citing works
Ogbodo, C. M., Ifeagwazi, C. M., Chukwuorji, J. C., & Onu, D. U. (2023) · Psychology Health & Medicine · doi:10.1080/13548506.2023.2229240 · Cited by 3 · see citing works
The Impact of an Expressive Writing and Storytelling Program on Ex-Offenders: A Pilot Study
Kartikaningsih, N., Lawson, K., Mayhan, M., Spears, E., Chew, O., Green, S., Tucker, S., Kirklin, K., & Yuen, H. K. (2023) · International Journal of Offender Therapy and Comparative Criminology · doi:10.1177/0306624x231188228 · Cited by 3 · see citing works
Vitality Age V.3: Technical Report
Štěpánek, M., Bolnick, H. J., Millard, F., Stolk, C. V., Garrod, B., Saunders, C. L., & van Belle, J. (2018) · RAND Corporation eBooks · doi:10.7249/rr2484 · Cited by 3 · see citing works
Improving Wellbeing Through a Modern, Integrated Experience
Perrott, A. (2022) · He Rourou · doi:10.54474/herourou.v2i1.7145 · Cited by 3 · see citing works
Burkert, N. T., & Freidl, W. (2019) · PeerJ · doi:10.7717/peerj.6773 · Cited by 3 · see citing works
O'Connor, A., Shand, A., Schneuer, F. J., Nassar, N., & Austin, M. (2022) · Birth · doi:10.1111/birt.12631 · Cited by 2 · see citing works
Riquelme-Gallego, B., Martínez-Vázquez, S., Amezcua-Prieto, C., Martínez-Galiano, J. M., Romero-Gonzalez, B., Peralta-Ramírez, M., Leno-Durán, E., & Caparrós-González, R. (2023) · Clínica y Salud. Investigación Empírica en Psicología · doi:10.5093/clysa2023a20 · Cited by 2 · see citing works
Daily Monitoring of Mobility as an Indicator of Wellbeing Among Individuals with Chronic Disease
Birenboim, A., Grinberger, A. Y., Novelli, E. M., & Jonassaint, C. R. (2018) · Applying quality of life research · doi:10.1007/978-3-319-76623-2_12 · Cited by 2 · see citing works
Evaluation of Outdoor swimming courses as an intervention to refresh and revitalise NHS workersPreprint
Pett, P., Massey, H. C., Denton, H., Burlingham, A., & Harper, C. M. (2022) · medRxiv · doi:10.1101/2022.04.11.22273166 · Cited by 2 · see citing works
Castelletti, C., Ogunlayi, F., Miret, M., Lara, E., & Oyebode, O. O. (2024) · Journal of Public Health · doi:10.1093/pubmed/fdae247 · Cited by 1 · see citing works
Sarasjärvi, K. K., Elovainio, M. J., Appelqvist‐Schmidlechner, K., Solin, P., Tamminen, N., & Therman, S. (2025) · BMC Psychology · doi:10.1186/s40359-025-03571-6 · Cited by 1 · see citing works
- Authors
- Stranges, S., Samaraweera, P. C., Taggart, F., Kandala, N.-B., & Stewart-Brown, S.
- Affiliations
- University of Warwick (GB)
- Corresponding author
- Stranges, Saverio
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2014-09
- Volume
- 4
- Issue
- 9
- Pages
- e005878
- ISSN
- 2044-6055 (ISSN-L)
- PMC
- PMC4170205
- OpenAlex
- W2099071768
- Semantic Scholar
- 2e70ef6dd2ec163a6da7c91a3a3b8c99c11521d9
- Cited by
- 130
- References
- 44
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 13 · 2023: 11 · 2022: 17 · 2021: 14 · 2020: 22 · 2019: 12 · 2018: 10 · 2017: 10 · 2016: 8 · 2015: 3
- FWCI
- 10.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ Open (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- Northumbria Research Link (Northumbria University) (submittedVersion, cc-by-nc)
- HighWire Press Open Archive (submittedVersion)
- Funders
- University College London
- Topics
- Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
- Health Sciences › Health Professions › General Health Professions › Health and Lifestyle Studies
- Health Sciences › Health Professions › General Health Professions › Health, psychology, and well-being
- Keywords
- psychological well-being, behavioral risk factors, obesity, body mass index, smoking, alcohol consumption, fruit and vegetable intake, former smokers, general population, Warwick-Edinburgh Mental Well-being Scale, Health Survey for England
- MeSH terms
- Adolescent, Adult, England, Female, Health Surveys, Humans, Male, Mental Health, Middle Aged, Risk Factors, Health Behavior, Young Adult
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