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Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach
Open accessAbstract
The associations between time spent in sleep, sedentary behaviors (SB) and physical activity with health are usually studied without taking into account that time is finite during the day, so time spent in each of these behaviors are codependent. Therefore, little is known about the combined effect of time spent in sleep, SB and physical activity, that together constitute a composite whole, on obesity and cardio-metabolic health markers. Cross-sectional analysis of NHANES 2005-6 cycle on N = 1937 adults, was undertaken using a compositional analysis paradigm, which accounts for this intrinsic codependence. Time spent in SB, light intensity (LIPA) and moderate to vigorous activity (MVPA) was determined from accelerometry and combined with self-reported sleep time to obtain the 24 hour time budget composition. The distribution of time spent in sleep, SB, LIPA and MVPA is significantly associated with BMI, waist circumference, triglycerides, plasma glucose, plasma insulin (all p<0.001), and systolic (p<0.001) and diastolic blood pressure (p<0.003), but not HDL or LDL. Within the composition, the strongest positive effect is found for the proportion of time spent in MVPA. Strikingly, the effects of MVPA replacing another behavior and of MVPA being displaced by another behavior are asymmetric. For example, re-allocating 10 minutes of SB to MVPA was associated with a lower waist circumference by 0.001% but if 10 minutes of MVPA is displaced by SB this was associated with a 0.84% higher waist circumference. The proportion of time spent in LIPA and SB were detrimentally associated with obesity and cardiovascular disease markers, but the association with SB was stronger. For diabetes risk markers, replacing SB with LIPA was associated with more favorable outcomes. Time spent in MVPA is an important target for intervention and preventing transfer of time from LIPA to SB might lessen the negative effects of physical inactivity.
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TL;DR
Using NHANES 2005–6 data on 1,937 adults, this study applies compositional data analysis to the 24-hour time budget of sleep, sedentary behavior (SB), light activity (LIPA), and moderate-to-vigorous activity (MVPA). The overall composition is associated with most obesity and cardiometabolic markers, with MVPA generally favorable, SB detrimental, and effects of reallocating time being asymmetric.
Key findings
- The 24-hour composition of sleep, SB, LIPA, and MVPA was significantly associated with BMI, waist circumference, triglycerides, plasma glucose, plasma insulin, HOMA, systolic blood pressure (all p<0.001), and diastolic blood pressure (p=0.003), but not HDL (p=0.121) or LDL (p=0.434).
- Within the composition, MVPA showed the strongest favorable associations; for example, MVPA was associated with lower waist circumference (B = -2.96, p<0.001) and lower BMI (B = -0.98, p<0.001), while SB was associated with higher waist circumference (B = 2.41, p=0.023) and higher BMI (B = 1.40, p=0.002).
- Reallocating 10 minutes was asymmetric: replacing 10 minutes of SB with MVPA was associated with 0.001% lower waist circumference, whereas displacing 10 minutes of MVPA with SB was associated with 0.84% higher waist circumference. For BMI, displacing 10 minutes of MVPA with SB changed BMI by 1.21%, while the opposite change was -0.001%.
- For diabetes risk markers, replacing SB with LIPA was associated with more favorable outcomes; LIPA contrasted favorably with other behaviors for triglycerides (B = -0.21, p<0.001), plasma insulin (B = -0.13, p=0.033), and HOMA (B = -0.15, p=0.020).
Methods
- Secondary cross-sectional analysis of NHANES 2005–6, including adults aged 21–64 with at least 5 valid days of accelerometry data; N=1,937 were available for analysis.
- Sleep was self-reported; SB, LIPA, and MVPA were measured with an Actigraph 7164 accelerometer and classified using count thresholds (<100, 100–1951, and ≥1952 counts/min, respectively), then expressed as proportions of 24 hours and normalized to sum to one.
- Compositional data analysis used isometric log-ratio transformations in linear regression models (CODA), compared with single-behavior models (SINGLE), and estimated effects of 10-minute time reallocations; confounders were retained by backward elimination if p<0.2, with analyses in R 3.1.1.
Limitations
- The paper states that objective sleep data were unavailable, sleep was self-reported only for week/workdays while accelerometry was averaged over the whole week, and this likely introduced random error.
- The paper states that accelerometer thresholds are less accurate for distinguishing SB from LIPA, that different thresholds might lead to different results, and that data loss from the full NHANES sample was around 50%, affecting representativity.
- The paper states that cross-sectional analysis limits causal inference and that estimated effects reflect population shifts in time distribution rather than actual individual effects; it also notes that absolute estimates depend on confounding-variable values, though trends remained similar.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Within the composition, the strongest positive effect is found for the proportion of time spent in MVPA.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The distribution of time spent in sleep, SB, LIPA and MVPA is significantly associated with BMI, waist circumference, triglycerides, plasma glucose, plasma insulin (all p<0.001), and systolic (p<0.001) and diastolic blood pressure (p<0.003), but not HDL or LDL.”
- Also stated in: § Linear regression models · plain
“The CODA models show that the relative distribution of time amongst the four behaviors as a whole is statistically significantly associated with all outcomes (BMI p<0.001, waist circumference p<0.001, systolic blood pressure p<0.001, diastolic blood pressure p = 0.003, triglycerides p<0.001, plasma glucose p<0.001, plasma insulin p<0.001, HOMA p<0.001) except cholesterol levels (HDL p = 0.121 and”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: Self-reported sleep duration accurately reflects actual sleep time.
- Also stated in: § Linear regression models · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Strikingly, the effects of MVPA replacing another behavior and of MVPA being displaced by another behavior are asymmetric.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: The absolute values of the time re-allocation estimates will vary if computed around a different starting composition, but the direction and relative size of the effects should be the same.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The distribution of time spent in sleep, SB, LIPA and MVPA is significantly associated with BMI, waist circumference, triglycerides, plasma glucose, plasma insulin (all p<0.001), and systolic (p<0.001) and diastolic blood pressure (p<0.003), but not HDL or LDL.”
- Also stated in: § Linear regression models · plain
“The CODA models show that the relative distribution of time amongst the four behaviors as a whole is statistically significantly associated with all outcomes (BMI p<0.001, waist circumference p<0.001, systolic blood pressure p<0.001, diastolic blood pressure p = 0.003, triglycerides p<0.001, plasma glucose p<0.001, plasma insulin p<0.001, HOMA p<0.001) except cholesterol levels (HDL p = 0.121 and”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: Self-reported sleep duration accurately reflects actual sleep time.
- Also stated in: § Linear regression models · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The most obvious difference is found with the mean relative amount of time spent in MVPA, which is over-estimated by the arithmetic mean with respect to the compositional alternative by almost 0.7% of a day, roughly 10 minutes.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Descriptive statistics
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For diabetes risk markers, replacing SB with LIPA was associated with more favorable outcomes.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: The absolute values of the time re-allocation estimates will vary if computed around a different starting composition, but the direction and relative size of the effects should be the same.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“No parts of the composition were significantly associated with systolic blood pressure”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The amount of variance explained varied little between the SINGLE and CODA models.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“but sleep was favorably associated with diastolic blood pressure (B = -2.22, p = 0.048).”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: Self-reported sleep duration accurately reflects actual sleep time.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Sleep time was statistically significantly associated with higher CRP (B = 0.23, p = 0.024).”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: Self-reported sleep duration accurately reflects actual sleep time.
- It may state two separate claims as one. 51
- Probably not a substantial claim. 13
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The proportion of time spent in LIPA and SB were detrimentally associated with obesity and cardiovascular disease markers, but the association with SB was stronger.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The absolute values of the time re-allocation estimates will vary if computed around a different starting composition, but the direction and relative size of the effects should be the same.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both proportion of time spent in LIPA and MVPA were associated with better outcomes for waist circumference, triglycerides, plasma insulin and HOMA, with MVPA showing much higher effect sizes.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and sleep deleteriously associated with triglycerides (B = 0.17, p = 0.018), CRP (B = 0.23, p = 0.024) and plasma glucose (B = 0.04, p = 0.044).”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Self-reported sleep duration accurately reflects actual sleep time.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Less variance was explained by the models for BMI (R2 adj = 0.10), waist circumference (R2 adj = 0.12), diastolic blood pressure (R2 adj = 0.12), triglycerides (R2 adj = 0.12) and very little for LDL (R2 adj = 0.04).”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For BMI, the proportion of time spent in each behavior compared to the other three was statistically significantly detrimentally associated with SB (B = 1.40, p = 0.002) and LIPA (B = 0.98 and p = 0.029) but favorably with sleep (B = -1.40, p = 0.009) and MVPA (B = -0.098, p<0.001).”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Self-reported sleep duration accurately reflects actual sleep time.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, the variance of log(sleep/SB) is 0.148, which reflects the highest (proportional) relationship or co-dependence (not correlation in the usual sense) between two behaviors.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Descriptive statistics
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The models’ fit to the data was in line with previous reports [1,6,10,14–17], with moderate amount of variance explained for systolic blood pressure (R2 adj = 0.21), HDL (R2 adj = 0.22), CRP (R2 adj = 0.26), plasma glucose (R2 adj = 0.33), insulin (R2 adj = 0.40) and HOMA (R2 adj = 0.42).”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
What the sources say
- Not checked yetcites [1] P Bansil, 2011, Associations between sleep disorders, sleep duration, quality of sleep, and hypertension: results from the National Health and Nutrition Examination Survey, 2005 to 2008, J Clin Hypertens source
- Not checked yetcites [6] GN Healy, 2011, Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06, Eur Heart J source
- Not checked yetcites [10] C Maher, 2014, Reconsidering the Sedentary Behaviour Paradigm. Johannsen D, editor, PLoS One source
- Not checked yetcites [14] MP Buman, 2014, Reallocating time to sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES 2005–2006, Am J Epidemiol source
- Not checked yetcites [15] CE Matthews, 2008, Amount of time spent in sedentary behaviors in the United States, 2003–2004, Am J Epidemiol source
- Not checked yetcites [16] PD Loprinzi, 2014, Daily movement patterns and biological markers among adults in the United States, Prev Med (Baltim) source
- Not checked yetcites [17] RP Troiano, 2008, Physical activity in the United States measured by accelerometer, Med Sci Sports Exerc source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In the SINGLE models, the proportion of time spent sleeping was statistically significantly associated with higher triglycerides and CRP levels, but associated with lower BMI and diastolic blood pressure.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Self-reported sleep duration accurately reflects actual sleep time.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Statistical support was obtained to conclude that the contrast between LIPA and the other behaviors was favorably associated with triglycerides (B = -0.21, p<0.001), plasma insulin (B = -0.13, p = 0.033), and HOMA (B = -0.15,p = 0.020)”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Small positive effects were also observed on systolic and diastolic blood pressure when displacing LIPA and MVPA with sleep, with larger effects observed when sleep replaces MVPA.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Effect of time re-allocation
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“On the other end, it can be observed that the highest log-ratio variances all involve MVPA, which shows that time spent in MVPA is the least co-dependent on the other behaviors.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Descriptive statistics
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The proportion of time spent in MVPA was associated beneficially with HDL levels (B = 0.02, p = 0.012) and this was the only part of the composition statistically significantly associated with this outcome.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Linear regression models
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The effect of re-allocating time from one behavior to another one whilst the other two are kept stable was found to be small and not symmetric.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Effect of time re-allocation
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In our results, the relative times spent in SB and LIPA were both detrimentally associated with obesity markers, HDL, CRP and blood pressure, while MVPA showed a health enhancing relationship.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
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In the paper
“Replacing MVPA with sleep changed positively log(HDL) by 0.09%, but only 0.004% and 0.003% changes were observed when sleep replaces LIPA and SB respectively.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Effect of time re-allocation
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In the paper
“On the contrary, LIPA had favorable effects on LDL, triglycerides, glucose, insulin and HOMA, substantially more pronounced when replacing sleep than when replacing SB.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Effect of time re-allocation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“SB was found to lead to higher obesity markers if it displaced any of the other behaviors, but only by sizeable amounts if it replaced MVPA.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Effect of time re-allocation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The effect was relatively stronger at lower proportions of MVPA and weakened as the proportion of time spent on MVPA was higher, which is consistent with current evidence on dose-response [3].”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Mapping the effect of behavior compositions on cardiometabolic outcomes
What the sources say
- Not checked yetcites [3] WL Haskell, 2007, Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association, Med Sci Sports Exerc source
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In the paper
“Detrimental effects were observed when replacing MVPA and sleep with LIPA for both obesity markers, with stronger magnitude when LIPA replaced MVPA.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Effect of time re-allocation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However the strength of the negative relationship was higher with SB than with LIPA, and in Table 4 the effect of replacing MVPA with SB was stronger than with LIPA.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
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In the paper
“These results are for 8 hours of time spent sleeping. The magnitude of the effect varied when other proportions of sleep time were considered but the trends and observed co-dependences between waking day behaviors remained unchanged.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Mapping the effect of behavior compositions on cardiometabolic outcomes
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However these effects depended on the proportion of MVPA and were strongest when LIPA replaced SB (Figs 25F and 26F).”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Mapping the effect of behavior compositions on cardiometabolic outcomes
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Re-allocating time to MVPA from the other behaviors only had very small effect, most noticeable on lipids.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Effect of time re-allocation
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A similar, but more pronounced, pattern was observed for CRP, with sleep reducing the log(CRP) by 2.1% when replacing MVPA, but only by 0.004% and 0.002% when displacing LIPA and SB in that order.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Effect of time re-allocation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, replacing 10 minutes of MVPA with 10 minutes of SB corresponded to a 1.2% higher BMI, while the opposite, replacing 10 minutes of SB with 10 minutes of MVPA, had a 1000 fold lower effect.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Taken together, these plots show that MVPA positively affects all outcomes, except glucose (Figs 15 and 24) when replacing either LIPA or SB time.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Mapping the effect of behavior compositions on cardiometabolic outcomes
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, sleep showed detrimental effects on LDL, triglycerides, glucose and insulin level and HOMA, which were much stronger when sleep displaced MVPA.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Effect of time re-allocation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Indeed, we found that a small decrease in MVPA time has a large effect while an increase in MVPA has more moderate effects.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“and that sedentary time is detrimental to health [5].”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Introduction > Background
What the sources say
- Not checked yetcites [5] N Owen, 2009, Too much sitting: a novel and important predictor of chronic disease risk?, Br J Sports Med source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“There is some evidence that the influence of SB might be independent of time spent in MVPA [6]”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Introduction > Background
What the sources say
- Not checked yetcites [6] GN Healy, 2011, Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06, Eur Heart J source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Indeed time is finite, in a circadian or diurnal cycle, and time spent in one behavior necessarily displaces time spent in, at least, another one.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Introduction > Background
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Compositional data analysis is currently a mature and well-established field of statistics which has been used in diverse fields of research concerned with multivariate proportion-type data such as nutrition (e.g. fatty acid composition in meat) [19], geochemistry (e.g. sedimentary composition of rocks or chemistry of groundwaters) [20, 21], politics (e.g. multiparty electoral data) [22], and”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Methods > Data analysis
What the sources say
- Not checked yetcites [19] R Ros-Freixedes, 2013, On the Compositional Analysis of Fatty Acids in Pork, J Agric Biol Environ Stat source
- Not checked yetcites [20] A Buccianti, 2014, Methods to investigate the geochemistry of groundwaters with values for nitrogen compounds below the detection limit, J Geochemical Explor source
- Not checked yetcites [21] JC Montero-Serrano, 2010, Sedimentary chemofacies characterization by means of multivariate analysis, Sediment Geol source
- Not checked yetcites [22] J Honaker, 2002, A Fast, Easy, and Efficient Estimator for Multiparty Electoral Data, Polit Anal source
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“In accordance with STROBE guidelines, a sensitivity analysis [26] was conducted for each model by removing 10% of cases at random and checking for a statistically significant change in the results.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Methods > Data analysis
What the sources say
- Not checked yetcites [26] E Von Elm, 2007, Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies, BMJ source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Similarly, time spent in LIPA might have effects independent of time spent on MVPA [7]”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Introduction > Background
What the sources say
- Not checked yetcites [7] GN Healy, 2007, Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose, Diabetes Care source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“For example, there is good evidence that 5 to 7 hours of sleep [1], and over 30 minutes of MVPA per day [2,3] are associated with better health outcomes.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Introduction > Background
What the sources say
- Not checked yetcites [1] P Bansil, 2011, Associations between sleep disorders, sleep duration, quality of sleep, and hypertension: results from the National Health and Nutrition Examination Survey, 2005 to 2008, J Clin Hypertens source
- Not checked yetcites [2] Department of Health. Start active, stay active: a report on physical activity from the four home countries’ Chief Medical Officers. 2011.
- Not checked yetcites [3] WL Haskell, 2007, Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association, Med Sci Sports Exerc source
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“More recently, it has emerged that time spent in LIPA might play a positive role in preventing obesity [4]”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Introduction > Background
What the sources say
- Not checked yetcites [4] CM Kotz, 2005, Role of nonexercise activity thermogenesis (NEAT) in obesity, Minn Med
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“However, we know very little about the combined effect of allocating time to these different behaviors that together constitutes a composite whole.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Introduction > Background
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
None of the sources cited for this claim have been checked yet.
In the paper
“We chose 10 minutes as this is the smallest unit of change in activity recognized to have beneficial health effect [2,3].”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Effect of time re-allocation
What the sources say
- Not checked yetcites [2] Department of Health. Start active, stay active: a report on physical activity from the four home countries’ Chief Medical Officers. 2011.
- Not checked yetcites [3] WL Haskell, 2007, Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association, Med Sci Sports Exerc source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For diabetes risk markers (insulin and HOMA) time spent in SB and LIPA had the opposite relationship, suggesting that replacing sitting time with light activity might be beneficial (Table 3, Figs 15B, 15C, 25F and 26F).”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In our view, this study addresses two important gaps in the literature. First, it contributes to mitigate the dearth of information about the combined effect of sleep, SB, LIPA and MVPA on health [14,27]. Second, it provides a solution to study the relationship between health and time budgets without encountering issues of spurious correlations and collinearity [8].”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
What the sources say
- Not checked yetcites [14] MP Buman, 2014, Reallocating time to sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES 2005–2006, Am J Epidemiol source
- Not checked yetcites [27] M Hamer, 2014, Effects of Substituting Sedentary Time with Physical Activity on Metabolic Risk, Med Sci Sports Exerc source
- Not checked yetcites [8] Zeljko Pedisic, 2014, Measurement issues and poor adjustments for physical activity and sleep undermine sedentary behaviour research, Kinesiology
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The fact that time is finite during the day strongly suggests that the debate on whether or not the effect of a single behavior is independent of another one might be conceptually wrong.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes? Checkable: unclear✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Time spent in one behavior is naturally co-dependent of the time spent in others and the effect of time spent in one behavior should naturally depend on the composition of the rest of the day.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The absolute values of these estimates varied depending on the value of the confounding variables. The trends observed however remained similar.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Results > Mapping the effect of behavior compositions on cardiometabolic outcomes
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, when the compositional model is compared to the single behavior models we found that the strength of association is greatly attenuated. This is in particular for MVPA, which suggests that the effect of MVPA is not entirely independent of SB, LIPA and sleep.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our results do not disagree with the overwhelming evidence that MVPA is beneficial to health, but the analysis shows that this relationship depends on the composition of the rest of the day.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“But, at equal proportion of MVPA, if SB replaces LIPA the detrimental effect of inactivity could be higher, then explaining the added mortality for active people who sit for a long time (Fig 27).”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our analysis shows that each behavior might affect health both directly and also indirectly because it displaces the others.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The accelerometer data were classified every minute of the day as MVPA, SB or LIPA depending on a threshold. This method is less accurate than postural allocation at distinguishing between SB and LIPA [57], therefore it is possible that these two components of the composition might not be entirely accurate and that different thresholds might lead to different results.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
What the sources say
- Not checked yetcites [57] SFM Chastin, 2010, Methods for objective measure, quantification and analysis of sedentary behaviour and inactivity, Gait Posture source
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although replacing SB by MVPA has a stronger positive health effect, our results show that replacing SB by LIPA could have beneficial health effects as well.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Conclusion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, as with all cross-sectional analysis, causal inference is limited and the estimated effects reflects more a population shift in distribution of time rather than actual effects for individuals.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This was not reported previously by analysis of this wave of NHANES [14] but it is consistent with evidence that long sleep duration are generally associated with worse health outcomes [50–53].”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
What the sources say
- Not checked yetcites [14] MP Buman, 2014, Reallocating time to sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES 2005–2006, Am J Epidemiol source
- Not checked yetcites [50] FP Cappuccio, 2010, Sleep duration and all-cause mortality: a systematic review and meta-analysis of prospective studies, Sleep source
- Not checked yetcites [51] FP Cappuccio, 2010, Quantity and quality of sleep and incidence of type 2 diabetes: A systematic review and meta-analysis, Diabetes Care source
- Not checked yetcites [52] FP Cappuccio, 2011, Sleep duration predicts cardiovascular outcomes: A systematic review and meta-analysis of prospective studies, European Heart Journal
- Not checked yetcites [53] MA Grandner, 2013, Sleep duration, cardiovascular disease, and proinflammatory biomarkers, Nat Sci Sleep source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our analysis adds to the current evidence that decreasing inactivity, in particular sedentary time, and maintaining or increasing time spent in moderate to vigorous physical activity, contributes toward a more favorable cardiometabolic risk profile.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Conclusion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, sleep was only evaluated over week or working days, while the accelerometry was averaged over the whole week. It is likely that this introduced some random error.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Activity patterns can be different at weekends or non-working days.
- Rests on an assumption: Sleep duration varies at weekends or non-working days depending on chronotypes.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In summary, time spent on a physical behavior is co-dependent on the other ones and, therefore, it should be analysed and conceptualised within a compositional paradigm to obtain meaningful and accurate inferences.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Conclusion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Secondly, it is also well known that deconditioning or weight gain occurs rapidly when activity levels are dropped, and that it takes a larger amount of exercise overload to return to the same weight or fitness [46–48].”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
What the sources say
- Not checked yetcites [46] MJ Carvalho, 2009, Training and detraining effects on functional fitness after a multicomponent training in older women, Gerontology source
- Not checked yetcites [47] A Lobo, 2010, Effects of Training and Detraining on Physical Fitness, Physical Activity Patterns, Cardiovascular Variables, and HRQoL after 3 Health-Promotion Interventions in Institutionalized Elders, Int J Family Med
- Not checked yetcites [48] R Mora-Rodriguez, 2014, Time-course effects of aerobic interval training and detraining in patients with metabolic syndrome, Nutr Metab Cardiovasc Dis source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Objective measurements are less prone to error [56], especially for quantifying time spent in MVPA. This is however less true for SB and LIPA time.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
What the sources say
- Not checked yetcites [56] KR Westerterp, 2009, Assessment of physical activity: A critical appraisal, European Journal of Applied Physiology
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Firstly, removing 10 minutes from MVPA is actually a large amount of MVPA equal to one third of the recommended guidelines [2], while decreasing SB time by 10 minutes only accounts for a 2 to 5% change in total SB time.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
What the sources say
- Not checked yetcites [2] Department of Health. Start active, stay active: a report on physical activity from the four home countries’ Chief Medical Officers. 2011.
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The data loss from the full NHANES sample is relatively high (around 50% see S1 File) due to compliance with objective monitoring and this selection bias affects the representativity of the sample analyzed.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
What the sources say
- Not checked yetcites S1 File
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Sleep in our analysis was directly beneficially associated with obesity and blood pressure markers but could have negative effects if it displaced MVPA.”
§ Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper relies on this without support.
The absolute values of the time re-allocation estimates will vary if computed around a different starting composition, but the direction and relative size of the effects should be the same.
“The absolute values of these estimates will vary if the time re-allocation is computed around a different starting composition, but the direction and relative size of the effects should be the same.”
The paper relies on this without support.
Self-reported sleep duration accurately reflects actual sleep time.
“Sleep duration was self-reported as an integer from 1 to 24 hours in response to the question “How much sleep do you actually get at night on weekdays or workdays”.”
The paper relies on this without support.
This study is the first to use compositional analysis to investigate associations between the relative distribution of time in physical behaviors and cardiometabolic health markers.
“This study is the first to our knowledge to use a compositional analysis to provide a statistically sound and comprehensive investigation of the associations between the relative distribution of time spent in different physical behaviors that make up the day and cardio-metabolic health markers.”
The paper relies on this without support.
Humans cannot perform MVPA all day.
“Humans cannot perform MVPA all day, therefore, although LIPA might be detrimental, spending the rest of the day in LIPA might be better than sitting (SB).”
The paper relies on this without support.
Activity patterns can be different at weekends or non-working days.
“It is known that activity patterns can be different at weekends or non-working days.”
The paper relies on this without support.
Sleep duration varies at weekends or non-working days depending on chronotypes.
“Similarly sleep duration varies at weekends or non-working days depending on chronotypes.”
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 the citing paper
“research has shown that these three behaviours are codependent and should be considered simultaneously [15, 16].”
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.
Claimed detrimental SB effect on CRP reverses the table's direction
MajorThe text describes a negative health effect on CRP when SB replaces MVPA. In Table 4, that replacement changes Log(CRP) by -0.950, indicating lower CRP.
“The proportion of time spent in SB had notable negative effects on BMI (Figs 11 and 16), waist circumference (Figs 11 and 17), systolic blood pressure (Figs 12 and 18), HDL (Figs 13 and 20), CRP (Figs 14 and 23), triglycerides (Figs 14 and 24), insulin (Figs 15 and 25) and HOMA (Figs 15 and 26) when it replaced MVPA time.”
“| SB | 0.005 | | 0.000 | -0.950 | SB | -0.001 | | -0.001 | -0.260 |”
BMI plot is cited as Fig 6B instead of Fig 16B
MinorThe cited reciprocal BMI plot is described as panel B of Fig 16. Fig 6 concerns LDL concentration groups.
“The reciprocal plot showing differences in outcome as a function of the proportion of time spent in MVPA for a given proportion of SB is displayed in Fig 6B.”
“Figure: Fig 16 Estimated BMI (in kg/m2) for different composition as a function the proportion of a) LIPA and b) MVPA when SB is held constant”
BMI coefficient for MVPA differs from Table 3
MinorThe results text gives the CODA coefficient for MVPA as -0.098, while Table 3 reports -0.98-a tenfold difference.
“MVPA (B = -0.098, p<0.001)”
“| BMI | -1.40 | 0.009 | 1.40 | 0.002 | 0.98 | 0.029 | -0.98 | <0.001 | <0.001 |”
Citations
Cites
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040296 · Cited by 23,020
Elm, E. V., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2007) · BMJ · doi:10.1136/bmj.39335.541782.ad · Cited by 10,766 · cited 1×
“In accordance with STROBE guidelines, a sensitivity analysis [26] was conducted for each model by removing 10% of cases at random and checking for a statistically significant change in the results.”
‘Small Changes' to Diet and Physical Activity Behaviors for Weight Management
Hills, A. P., Byrne, N. M., Lindstrom, R. C., & Hill, J. O. (2013) · Obesity Facts · doi:10.1159/000345030 · Cited by 9,526
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638 · cited 3×
“Time spent in SB, LIPA and MVPA was assessed objectively following the protocol detailed previously [15,17], using an accelerometer (Actigraph 7164; Actigraph, LLC, Pensacola, FL).”
InfluentialStone, N. J., Robinson, J. G., Lichtenstein, A. H., Bairey Merz, C. N., Blum, C. B., Eckel, R. H., Goldberg, A. C., Gordon, D., Levy, D., Lloyd-Jones, D. M., et al. (2014) · Circulation · doi:10.1161/01.cir.0000437738.63853.7a · Cited by 7,081
HASKELL, W. L., LEE, I.-M., PATE, R. R., POWELL, K. E., BLAIR, S. N., FRANKLIN, B. A., MACERA, C. A., HEATH, G. W., THOMPSON, P. D., & BAUMAN, A. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3180616b27 · Cited by 4,616
The Statistical Analysis of Compositional Data
Aitchison, J. (1986) · doi:10.1007/978-94-009-4109-0 · Cited by 4,383
Stone, N. J., Robinson, J. G., Lichtenstein, A. H., Bairey Merz, C. N., Blum, C. B., Eckel, R. H., Goldberg, A. C., Gordon, D., Levy, D., Lloyd-Jones, D. M., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.002 · Cited by 3,845
Calibration of the Computer Science and Applications, Inc. accelerometer
FREEDSON, P. S., MELANSON, E., & SIRARD, J. (1998) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199805000-00021 · Cited by 3,825 · cited 1×
“Each minute epoch was classified using standard count per minutes thresholds as SB (<100 counts/min), LIPA (100 to 1951 counts/min) or MVPA ( 1952 counts/min) [18].”
The Statistical Analysis of Compositional Data
Aitchison, J. (1982) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1982.tb01195.x · Cited by 3,457
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- Zeljko Pedisic, 2014, Measurement issues and poor adjustments for physical activity and sleep undermine sedentary behaviour research, Kinesiology, 46, 135
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Items 301–400 of 1,000
Werneck, A. O., Cyrino, E. S., Collings, P. J., Ronque, Ê. R. V., Szwarcwald, C. L., Sardinha, L. B., & da Silva, D. R. P. (2018) · Journal of Physical Activity and Health · doi:10.1123/jpah.2017-0317 · Cited by 25
Kwon, S., Andersen, L. B., Grøntved, A., Kolle, E., Cardon, G., Davey, R., Kriemler, S., Northstone, K., Page, A. S., Puder, J. J., et al. (2019) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-019-0801-x · Cited by 24
Nagy, L., Faisal, M., Horne, M., Collings, P. J., Barber, S., & Mohammed, M. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-025071 · Cited by 26
Prospectively Reallocating Sedentary Time: Associations with Cardiometabolic Health
Yates, T. E., Edwardson, C. L., Henson, J. J., Zaccardi, F., Khunti, K., & Davies, M. J. (2019) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002204 · Cited by 24
Gondalia, R., Holliday, K. M., Baldassari, A., Justice, A. E., Stewart, J. D., Liao, D., Yanosky, J. D., Engel, S. M., Jordahl, K. M., Bhatti, P., et al. (2020) · Environmental Health Perspectives · doi:10.1289/ehp5360 · Cited by 26
Movement in High School: Proportion of Chinese Adolescents Meeting 24-Hour Movement Guidelines
Ying, L., Zhu, X., Haegele, J., & Wen, Y. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17072395 · Cited by 24
Šuc, A., Einfalt, L., Šarabon, N., & Kastelic, K. (2024) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-024-01632-4 · Cited by 32
Rosen, P., Dohrn, I., & Hagströmer, M. (2020) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.13761 · Cited by 23
Machida, M., Takamiya, T., Amagasa, S., Murayama, H., Fujiwara, T., Odagiri, Y., Kikuchi, H., Fukushima, N., Kouno, M., Saito, Y., et al. (2021) · Journal of Epidemiology · doi:10.2188/jea.je20200534 · Cited by 26
Effects of physical activity intervention on 24-h movement behaviors: a compositional data analysis
Pasanen, J., Leskinen, T., Suorsa, K., Pulakka, A., Virta, J., Auranen, K. J., & Stenholm, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-12715-2 · Cited by 28
Dumuid, D., Mellow, M. L., Olds, T., Tregoweth, E., Greaves, D., Keage, H. A. D., & Smith, A. E. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220181 · Cited by 25
Rissardi, G. D. G. L., Cipullo, J. P., Moreira, G. C., Ciorlia, L. A. D. S., Cesarino, C. B., Giollo-Júnior, L. T., Zanesco, A., & Vilela-Martin, J. F. (2018) · International Journal of Cardiovascular Sciences · doi:10.5935/2359-4802.20180064 · Cited by 27
Sánchez, M. C., Cuberos, R. C., Ubago-Jiménez, J. L., Zafra-Santos, E., & Ortega, F. Z. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15091866 · Cited by 23
Rodríguez‐Gómez, I., Mañas, A., Losa‐Reyna, J., Rodríguez‐Mañas, L., CHASTIN, S. F. M., Alegre, L. M., García‐García, F. J., & Ara, I. (2019) · Nutrients · doi:10.3390/nu11030582 · Cited by 24
Self-citationVaquero‐Solís, M., Tapia‐Serrano, M. Á., Alcalá, D. H., Sierra-Díaz, M. J., & Miguel, P. A. S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18147550 · Cited by 23
Lu, Z., Qu, X., Chang, J., Xu, M., Song, G., Wang, X., Okely, A. D., Zhang, T., Guan, H., & Wu, J. (2023) · Journal of Sports Sciences · doi:10.1080/02640414.2023.2260632 · Cited by 23
Blyth, F., Haycraft, E., Peral‐Suárez, Á., & Pearson, N. (2025) · Obesity Reviews · doi:10.1111/obr.13909 · Cited by 31
Correlates of sedentary time in young children: A systematic review
Pereira, J. R., Zhang, Z., Sousa‐Sá, E., Santos, R., & Cliff, D. P. (2020) · European Journal of Sport Science · doi:10.1080/17461391.2020.1741689 · Cited by 22
Ambient air pollution and movement behaviours: A scoping review
Kim, Y.-B., McCurdy, A., Lamboglia, C. G., Hakimi, S., Kuzik, N., Lee, E., Lindeman, C., Sivak, A., & Spence, J. C. (2021) · Health & Place · doi:10.1016/j.healthplace.2021.102676 · Cited by 21
Kitano, N., Kai, Y., Jindo, T., Fujii, Y., Tsunoda, K., & Arao, T. (2022) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14165 · Cited by 22
Chen, S., Zhang, X., Du, W., Fan, L., & Zhang, F. (2022) · Pediatric Obesity · doi:10.1111/ijpo.12950 · Cited by 24
Dumuid, D., Olds, T., Wake, M. A., Rasmussen, C. L., Pedišić, Ž., Hughes, J. H., Foster, D. J. R., Walmsley, R., Atkin, A. J., Straker, L. M., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0272343 · Cited by 21
de Faria, F. R., Barbosa, D., Howe, C., Canabrava, K. L. R., Sasaki, J., & Amorim, P. R. D. S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0279401 · Cited by 20
Wang, S., Liang, W., Song, H., Su, N., Zhou, L., Duan, Y., Rhodes, R. E., Liu, H., Yang, Y., Lau, W.-C., et al. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1203840 · Cited by 23
Pesola, A. J., Laukkanen, A., Heikkinen, R., Sipilä, S., Sääkslahti, A., & Finni, T. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183299 · Cited by 24
Zhang, Y., Zhang, D. “., Li, X., Ip, P., Ho, F. K. W., Jiang, Y., Sun, W., Zhu, Q., Zhu, W., Zhang, J., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-15102-4 · Cited by 22
Pelclová, J., Štefelová, N., Pechová, J., Dygrýn, J., Gába, A., & Zając-Gawlak, I. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15071444 · Cited by 22
Selected lifestyle factors as students transition from secondary school to university in Slovakia
Buková, A., Tomková, P., Uher, I., Kimáková, T., Vojtaško, Ľ., & Salonna, F. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1461989 · Cited by 22
Building your best day for healthy brain aging—The neuroprotective effects of optimal time use
Mellow, M. L., Dumuid, D., Thacker, J. S., Dorrian, J., & Smith, A. E. (2019) · Maturitas · doi:10.1016/j.maturitas.2019.04.204 · Cited by 19
Hallman, D., Mathiassen, S. E., van der Beek, A. J., Jackson, J. A., & Coenen, P. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16173111 · Cited by 21
Lindsay, T., Wijndaele, K., Westgate, K. L., Dempsey, P. C., Strain, T., Rolfe, E. D. L., Forouhi, N. G., Griffin, S. J., Wareham, N. J., & Brage, S. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00970-8 · Cited by 22
Merkus, S. L., Coenen, P., Forsman, M., Knardahl, S., Veiersted, K. B., & Mathiassen, S. E. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19052751 · Cited by 20
Ferrari, G., Cristi‐Montero, C., Drenowatz, C. J., Kovalskys, I., Gómez, G., Rigotti, A., Cortés, L. Y., García, M. C. Y., Liria-Domínguez, M. R., Herrera‐Cuenca, M., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-15504-z · Cited by 21
Fairclough, S. J., Hurter, L., Dumuid, D., Gába, A., Rowlands, A. V., Cruz, B. D. P., Cox, A., Crotti, M., Foweather, L., Graves, L., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19148778 · Cited by 22
Willems, I., Verbestel, V., Dumuid, D., Stanford, T., Calders, P., Lapauw, B., Bogaert, L., Blom, M. T., den Braver, N. R., van der Velde, J. H. P. M., et al. (2023) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2023.11.010 · Cited by 21
Lewthwaite, H., Effing, T., Lenferink, A., Olds, T., & Williams, M. (2018) · PeerJ · doi:10.7717/peerj.4604 · Cited by 21
Janurek, J., Hadi, S. A., Mojzisch, A., & Häusser, J. A. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15091927 · Cited by 26
Analyzing Wildland Fire Smoke Emissions Data Using Compositional Data Techniques
Weise, D. R., Palarea‐Albaladejo, J., Johnson, T. J., et al. (2020) · Journal of Geophysical Research Atmospheres · doi:10.1029/2019jd032128 · Cited by 21
Self-citationCoenen, P., Mathiassen, S. E., van der Beek, A. J., & Hallman, D. (2019) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.3827 · Cited by 23
Brown, D. M. Y., Burkart, S. A., Groves, C. I., Balbim, G. M., Pfledderer, C. D., Porter, C. D., Laurent, C. W. S., Johnson, E. K., & Kracht, C. L. (2024) · Journal of Activity Sedentary and Sleep Behaviors · doi:10.1186/s44167-024-00062-8 · Cited by 29
Bourke, M., Harrison, Z., Fortnum, K., Thomas, G., O’Flaherty, M. J., Mulcahy, S., Gomersall, S. R., Alsop, T., Trost, S. G., Koplin, J. J., et al. (2025) · Obesity Reviews · doi:10.1111/obr.13884 · Cited by 21
Pacheco, C. R., Culkin, V., Putkaradze, A., & Zeng, N. (2025) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-025-01705-y · Cited by 29
Associations of Activity and Sleep With Quality of Life: A Compositional Data Analysis
Verhoog, S., Braun, K. V. E., Bano, A., van Rooij, F. J. A., Franco, O. H., Koolhaas, C. M., & Voortman, T. (2020) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2020.03.029 · Cited by 20
Dumuid, D., Fernández, J. A. M., Ellul, S., Kenett, R. S., Wake, M. A., Simm, P. J., Baur, L. A., & Olds, T. (2020) · Statistical Methods in Medical Research · doi:10.1177/0962280220955221 · Cited by 22
Atkin, A. J., Dainty, J. R., Dumuid, D., Kontostoli, E., Shepstone, L., Tyler, R., Noonan, R. J., Richardson, C., & Fairclough, S. J. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-047189 · Cited by 22
Adolescent’s movement behaviors and built environment: a latent class analysis
Caetano, I., Miranda, V., dos Santos, F. D., & Amorim, P. R. D. S. (2021) · BMC Public Health · doi:10.1186/s12889-021-11974-4 · Cited by 16
Kontostoli, E., Jones, A., Pearson, N., Foley, L. S., Biddle, S., & Atkin, A. J. (2022) · International Journal of Behavioral Medicine · doi:10.1007/s12529-022-10077-7 · Cited by 24
Domingues, S. F., da Silva, C. D., de Faria, F. R., Souza, H. D. S., & Amorim, P. R. D. S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0266926 · Cited by 25
Hakimi, S., Kaur, S., Ross‐White, A., Martin, L. J., & Rosenberg, M. W. (2022) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2022-0298 · Cited by 27
Hyodo, K., Kitano, N., Ueno, A., Yamaguchi, D., Watanabe, Y., Noda, T., Nishida, S., Kai, Y., & Arao, T. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1018087 · Cited by 23
Collins, A. M., Molina‐Hidalgo, C., Aghjayan, S. L., Fanning, J. T., Erlenbach, E. D., Gothe, N. P., Velázquez‐Díaz, D., & Erickson, K. I. (2023) · Experimental Gerontology · doi:10.1016/j.exger.2023.112246 · Cited by 20
Buman, M. P., Hu, F., Newman, E., Smeaton, A. F., & Epstein, D. R. (2016) · BioMed Research International · doi:10.1155/2016/4856506 · Cited by 20
From Total Volume to Sequence Maps: Sophisticated Accelerometer Data Analysis
Chinapaw, M. J. M., Wang, X., Andersen, L. B., & Altenburg, T. M. (2018) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001849 · Cited by 20
Hallman, D., Krause, N., Jensen, M. T., Gupta, N., Jørgensen, M. B., & Holtermann, A. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16040650 · Cited by 20
Zabatiero, J. G., Smith, A. J., Gucciardi, D. F., Hamdorf, J. M., Taylor, S., & Hill, K. (2021) · Obesity Surgery · doi:10.1007/s11695-021-05337-6 · Cited by 20
Lee, E., Pabayo, R., & Kawachi, I. I. (2016) · Osong Public Health and Research Perspectives · doi:10.1016/j.phrp.2016.04.010 · Cited by 20
Daily activities are associated with non-invasive measures of neuroplasticity in older adults
Smith, A. E., Dumuid, D., Goldsworthy, M. R., Graetz, L. J., Hodyl, N. A., Thornton, N. L. R., & Ridding, M. C. (2021) · Clinical Neurophysiology · doi:10.1016/j.clinph.2021.01.016 · Cited by 21
Temporal physical activity patterns are associated with obesity in U.S. adults
Aqeel, M. M., Guo, J., Lin, L., Gelfand, S. B., Delp, E. J., Bhadra, A., Richards, E. A., Hennessy, E., & Eicher‐Miller, H. A. (2021) · Preventive Medicine · doi:10.1016/j.ypmed.2021.106538 · Cited by 20
Palmer, V. J., Gray, C. M., Fitzsimons, C., Mutrie, N., Wyke, S., Der, G., CHASTIN, S. F. M., Skelton, D. A., & the Seniors USP Team (2021) · Sociology of Health & Illness · doi:10.1111/1467-9566.13383 · Cited by 19
Self-citationBrakenridge, C. J., Healy, G. N., Sethi, P., Carver, A., Bellettiere, J., Salim, A., CHASTIN, S. F. M., Owen, N. G., & Dunstan, D. W. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01209-5 · Cited by 19
Self-citationRodrigues, B., Encantado, J., Carraça, E. V., Sousa‐Sá, E., Lopes, L., Cliff, D. P., Mendes, R., Silva, M. N., Godinho, C. I. A., & Santos, R. (2022) · PLoS ONE · doi:10.1371/journal.pone.0265100 · Cited by 22
Bird, M., Datta, G. D., Chinerman, D., Kakinami, L., Mathieu, M.-E., Henderson, M., & Barnett, T. A. (2022) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-022-01256-6 · Cited by 19
Comparison and agreement between device-estimated and self-reported sleep periods in adults
Nauha, L., Farrahi, V., Jurvelin, H., Jämsä, T. J., Niemelä, M., Kangas, M., & Korpelainen, R. (2023) · Annals of Medicine · doi:10.1080/07853890.2023.2191001 · Cited by 18
Volpato, L. A., da Costa, J. C., Lopes, W. A., Sasaki, J. E., Romanzini, C. L. P., Ronque, Ê. R. V., & Romanzini, M. (2023) · Journal of Physical Activity and Health · doi:10.1123/jpah.2022-0471 · Cited by 19
Yu, J., Huang, F., Zhang, X., Xue, H., Ni, X., Yang, J., Zou, Z., & Du, W. (2023) · Nutrients · doi:10.3390/nu15194164 · Cited by 19
Telford, D. M., Meiring, R. M., & Gusso, S. (2023) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2023.1282482 · Cited by 24
Smith, L., Sawyer, A. D. M., Gardner, B., Seppala, K., Ucci, M., Marmot, A., Lally, P. J., & Fisher, A. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15061214 · Cited by 19
The influence of sleep quality on weight retention in the postpartum period
Matenchuk, B. A., & Davenport, M. H. (2020) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2019-0896 · Cited by 18
Smith, E., Fazeli, F., Wilkinson, K., & Clark, C. C. T. (2020) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.13837 · Cited by 18
Daum, T., Capezzone, F., & Birner, R. (2020) · Agriculture and Human Values · doi:10.1007/s10460-020-10160-3 · Cited by 19
Matabuena, M., Félix, P., Hammouri, Z. A. A., Mota, J. A. P. S., & Cruz, B. D. P. (2022) · Aging Clinical and Experimental Research · doi:10.1007/s40520-022-02260-3 · Cited by 20
Laurent, C. W. S., Rasmussen, C. L., Holmes, J. F., Cremone‐Caira, A., Kurdziel, L. B. F., Desrochers, P. C., & Spencer, R. M. C. (2023) · Journal of Activity Sedentary and Sleep Behaviors · doi:10.1186/s44167-023-00016-6 · Cited by 19
Sarto, F., Bottinelli, R., Franchi, M. V., Porcelli, S., Šimunič, B., Pišot, R., & Narici, M. V. (2023) · Acta Physiologica · doi:10.1111/apha.13986 · Cited by 24
Verswijveren, S. J. J. M., Lamb, K. E., Timperio, A. F., Salmon, J., Telford, R. M., Daly, R. M., Cerin, E., Hume, C., OLIVE, L. S., Mackintosh, K. A., et al. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17124286 · Cited by 18
McDevitt, B., Moore, L. D., Akhtar, N., Connolly, J., Doherty, R., & Scott, W. (2021) · Sensors · doi:10.3390/s21062034 · Cited by 18
Haegele, J. A., Zhu, X., Healy, S., & Patterson, F. (2021) · Journal of Physical Activity and Health · doi:10.1123/jpah.2019-0665 · Cited by 18
Lin, L., Guo, J., Aqeel, M. M., Gelfand, S. B., Delp, E. J., Bhadra, A., Richards, E. A., Hennessy, E., & Eicher‐Miller, H. A. (2021) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqab339 · Cited by 17
Risk factors for diabetes are higher among non-heterosexual US high-school students
Beach, L. B., Turner, B., Felt, D., Marro, R. L., & Phillips, G. (2018) · Pediatric Diabetes · doi:10.1111/pedi.12720 · Cited by 21
Martins, C., Clark, C. C. T., Tassitano, R. M., Filho, A. N. D. S., Gaya, A. R., & Duncan, M. J. (2021) · Perceptual and Motor Skills · doi:10.1177/00315125211013196 · Cited by 16
Niemelä, M., Kiviniemi, A. M., Ikäheimo, T. M., Tulppo, M. P., Korpelainen, R., Jämsä, T. J., & Farrahi, V. (2023) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14315 · Cited by 16
Adherence to 24-h movement guidelines and cognitive difficulties in adolescents
Lu, Y., & Zhao, M. (2023) · Complementary Therapies in Clinical Practice · doi:10.1016/j.ctcp.2023.101744 · Cited by 19
Zheng, J., Tan, T. C., Zheng, K., & Huang, T. (2023) · BMC Public Health · doi:10.1186/s12889-023-15393-5 · Cited by 17
Zhang, J., Yuan, Z., Mo, C., Kang, Y., Wang, F., Wei, X., Huang, S., Qin, F., Jiang, J., Liang, H., et al. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1247705 · Cited by 19
Song, H., Lau, W. C., Wang, J., Liu, Y., Song, Y., & Shi, L. (2024) · Journal of Exercise Science & Fitness · doi:10.1016/j.jesf.2024.03.002 · Cited by 18
Tye, L., Scott, T., Haszard, J. J., & Peddie, M. C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17176346 · Cited by 17
Equivalence Curves for Healthy Lifestyle Choices
Ng, E., Wake, M. A., Olds, T., Lycett, K., Edwards, B., Le, H., & Dumuid, D. (2021) · PEDIATRICS · doi:10.1542/peds.2020-025395 · Cited by 18
Migueles, J. H., Lee, I.-M. M., Cadenas‐Sánchez, C., Ortega, F. B., Buring, J. E., & Shiroma, E. J. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01173-0 · Cited by 17
Foley, L. S., Dumuid, D., Atkin, A. J., Wijndaele, K., Ogilvie, D., & Olds, T. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216650 · Cited by 17
Johansson, M. S., Søgaard, K., Prescott, E., Marott, J. L., Schnohr, P., Holtermann, A., & Korshøj, M. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-00985-w · Cited by 18
Bourke, M., Wang, H., Fortnum, K., Thomas, G., O’Flaherty, M., Mulcahy, S. K., Gomersall, S. R., Alsop, T., Trost, S. G., Bruijns, B. A., et al. (2025) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.70120 · Cited by 22
Koemel, N. A., Biswas, R. K., Ahmadi, M. N., Teixeira-Pinto, A. M., Hamer, M., Rezende, L. F. M., Mitchell, J. J., Leech, R. M., Sawan, M. J., Allman-Farinelli, M. A., et al. (2026) · EClinicalMedicine · doi:10.1016/j.eclinm.2025.103741 · Cited by 23
“35,36 No evidence of problematic multicollinearity was found between behaviours (Supplementary Table 4).”
Sitting and chronic disease: where do we go from here?
Wijndaele, K., & Healy, G. N. (2016) · Diabetologia · doi:10.1007/s00125-016-3886-7 · Cited by 16
The neighborhood physical environment and the 24-hour movement behavior composition among children
Campbell, J. E., & Janssen, I. (2022) · International Journal of Environmental Health Research · doi:10.1080/09603123.2022.2041562 · Cited by 16
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Compernolle, S., Dyck, D. V., Cocker, K. A. D., Palarea‐Albaladejo, J., Bourdeaudhuij, I. D., Cardon, G., & CHASTIN, S. F. M. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15091916 · Cited by 16
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Metadata
- Authors
- Chastin, S. F. M., Palarea-Albaladejo, J., Dontje, M. L., & Skelton, D. A.
- Affiliations
- Glasgow Caledonian University (GB)
- Corresponding author
- Chastin, Sebastien F. M.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-10-13
- Volume
- 10
- Issue
- 10
- Pages
- e0139984
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4604082
- OpenAlex
- W1818552750
- Semantic Scholar
- 26e3231050045c392eb982c52747c0cf1c3a90ec
- Cited by
- 1,034
- References
- 70
- Citations by year
- 2026: 81 · 2025: 115 · 2024: 124 · 2023: 108 · 2022: 90 · 2021: 109 · 2020: 140 · 2019: 90 · 2018: 72 · 2017: 67 · 2016: 36
- FWCI
- 42.99
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ResearchOnline (Glasgow Caledonian University) (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Rural and Environment Science and Analytical Services Division
- Scottish Government
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Keywords
- physical activity, sedentary behavior, sleep, time budget, compositional data analysis, obesity, cardiometabolic health, waist circumference, blood pressure, insulin, triglycerides, light physical activity, moderate-to-vigorous physical activity, time displacement, diabetes risk, NHANES
- MeSH terms
- Adult, Behavior, Blood Glucose, Blood Pressure, C-Reactive Protein, Diastole, Fasting, Humans, Insulin, Lipids, Middle Aged, Motor Activity, Obesity, Sleep, Statistics as Topic, Systole, Time Factors, Body Mass Index, Linear Models, Waist Circumference, Young Adult, 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.
A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
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 ›
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