Associations of timing of physical activity with all-cause and cause-specific mortality in a prospective cohort study

Feng, Hongliang; Liang, Yannis Yan; Ai, Sizhi; Liu, Yaping; Liu, Yue; Jin, Xinyi; Lei, Binbin; Wang, Jing; Zheng, Nana; Chen, Xinru; Chan, Joey Wing Yan; Sum, Raymond Kim-Wai; Chan, Ngan Yin; Tan, Xiao; Wing, Yun Kwok

doi:10.1038/s41467-023-36546-5

Cited by 36 publications

(8 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accordingly, several clinical variables, such as sex, age, health status, training status prior to the intervention, exercise modality, or chronotype (discussed in following sections), may explain some of these results (Figure 1). Indeed, in a large‐scale cohort study (92,139 UK Biobank participants with valid accelerometer data, followed up over a median period of 7 years), although moderate‐to‐vigorous physical activity at any time of day was associated with lower risks of overall or cardiovascular mortality, afternoon and mixed (but not evening) groups had even lower risks than morning groups, and these associations were stronger in the male sex, older participants, less physically active participants, or those with stablished cardiovascular disease 82 . Therefore, these and other clinical variables might be considered as important modulators of time‐dependent effects of physical activity/exercise regarding metabolic health.…”

Section: Potential Variables Explaining Divergent Results In Clinical...mentioning

confidence: 99%

“…As a consequence, there are no available studies considering training status as a potential modulator of the effects of the timing of physical activity/exercise on metabolic health. Given the findings observed in studies evaluating cardiovascular mortality in relation to the timing of physical activity, 82 the influence of training status on time‐of‐day‐based physical activity/exercise should be further investigated.…”

Section: Potential Variables Explaining Divergent Results In Clinical...mentioning

confidence: 99%

See 1 more Smart Citation

Effects of exercise timing on metabolic health

et al. 2023

View full text Add to dashboard Cite

SummaryThe increasing prevalence of metabolic syndrome is associated with major health and socioeconomic consequences. Currently, physical exercise, together with dietary interventions, is the mainstay of the treatment of obesity and related metabolic complications. Although exercise training includes different modalities, with variable intensity, duration, volume, or frequency, which may have a distinct impact on several characteristics related to metabolic syndrome, the potential effects of exercise timing on metabolic health are yet to be fully elucidated. Remarkably, promising results with regard to this topic have been reported in the last few years. Similar to other time‐based interventions, including nutritional therapy or drug administration, time‐of‐day‐based exercise may become a useful approach for the management of metabolic disorders. In this article, we review the role of exercise timing in metabolic health and discuss the potential mechanisms that could drive the metabolic‐related benefits of physical exercise performed in a time‐dependent manner.

show abstract

Section: Potential Variables Explaining Divergent Results In Clinical...mentioning

confidence: 99%

Section: Potential Variables Explaining Divergent Results In Clinical...mentioning

confidence: 99%

Effects of exercise timing on metabolic health

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Similar to a previous UK Biobank study, 19 participants' adherence to a healthy diet was determined in the present study via responses to an electronic questionnaire. Healthy eating, based on a population-specific median split, included criteria such as fewer than 2 servings of unprocessed red meat products per week (67.3%), fewer than 2 servings of processed meat products per week (39.2%), 4 or more tablespoons of vegetables per day (64.8%), 2 or more pieces of fruit per day (72.7%), and 2 or more servings of fish products per week (52.3%).…”

Section: Healthy Diet Scale Definitionmentioning

confidence: 99%

Habitual Short Sleep Duration, Diet, and Development of Type 2 Diabetes in Adults

Nôga,

Meth,

Pacheco

et al. 2024

JAMA Netw Open

Self Cite

View full text Add to dashboard Cite

ImportanceUnderstanding the interplay between sleep duration, dietary habits, and the risk of developing type 2 diabetes (T2D) is crucial for public health and diabetes prevention strategies.ObjectiveTo investigate the associations of type of diet and duration of sleep with the development of T2D.Design, Setting, and ParticipantsData derived from the UK Biobank baseline investigation (2006-2010) were analyzed for this cohort study between May 1 and September 30, 2023. The association between sleep duration and healthy dietary patterns with the risk of T2D was investigated during a median (IQR) follow-up of 12.5 (11.8-13.2) years (end of follow-up, September 30, 2021).ExposureFor the analysis, 247 867 participants were categorized into 4 sleep duration groups: normal (7-8 hours per day), mild short (6 hours per day), moderate short (5 hours per day), and extreme short (3-4 hours per day). Their dietary habits were evaluated based on population-specific consumption of red meat, processed meat, fruits, vegetables, and fish, resulting in a healthy diet score ranging from 0 (unhealthiest) to 5 (healthiest).Main Outcomes and MeasuresCox proportional hazards regression analysis was used to calculate hazard ratios (HRs) and 95% CIs for the development of T2D across various sleep duration groups and healthy diet scores.ResultsThe cohort comprised 247 867 participants with a mean [SD] age of 55.9 [8.1] years, of whom 52.3% were female. During the follow-up, 3.2% of participants were diagnosed with T2D based on hospital registry data. Cox regression analysis, adjusted for confounding variables, indicated a significant increase in the risk of T2D among participants with 5 hours or less of daily sleep. Individuals sleeping 5 hours per day exhibited a 1.16 adjusted HR (95% CI, 1.05-1.28), and individuals sleeping 3 to 4 hours per day exhibited a 1.41 adjusted HR (95% CI, 1.19-1.68) compared with individuals with normal sleep duration. Furthermore, individuals with the healthiest dietary patterns had a reduced risk of T2D (HR, 0.75 [95% CI, 0.63-0.88]). The association between short sleep duration and increased risk of T2D persisted even for individuals following a healthy diet, but there was no multiplicative interaction between sleep duration and healthy diet score.Conclusions and RelevanceIn this cohort study involving UK residents, habitual short sleep duration was associated with increased risk of developing T2D. This association persisted even among participants who maintained a healthy diet. To validate these findings, further longitudinal studies are needed, incorporating repeated measures of sleep (including objective assessments) and dietary habits.

show abstract

“…6 A recent study implies that the timing of physical activity across waking hours may also matter, as those being physically active mainly between middays and afternoons had lower risk of cardiovascular and all-cause mortality compared to those who were physically active mostly during mornings or evenings. 7 Examining the heterogeneity, that is, variation of physical activity patterns within a day or a week is needed to identify sub-groups with suboptimal physical activity behavior and, consequently, pinpoint the potential times during the day or week to increase physical activity. This information is important for the development of targeted physical activity interventions.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, recent accelerometer‐based studies have suggested that physical activity during leisure time compared to work‐related physical activity was associated with lower systolic blood pressure 5 and better cardiorespiratory fitness 6 . A recent study implies that the timing of physical activity across waking hours may also matter, as those being physically active mainly between middays and afternoons had lower risk of cardiovascular and all‐cause mortality compared to those who were physically active mostly during mornings or evenings 7 …”

Section: Introductionmentioning

confidence: 99%

Weekday and weekend physical activity patterns and their correlates among young adults

Suorsa,

Leskinen,

Rovio

et al. 2023

Scandinavian Med Sci Sports

View full text Add to dashboard Cite

BackgroundAccelerometers enable assessment of within and between day variation in physical activity. The main aim was to examine weekday and weekend physical activity patterns among young adults. Additionally, correlates of the physical activity patterns were examined.MethodsOverall 325 adults (mean age 26.0 years, standard deviation 0.03) from the Special Turku Coronary Risk Factor Intervention Project used a wrist‐worn ActiGraph accelerometer continuously for 1 week. Physical activity patterns over weekdays and weekends were identified by using the group‐based trajectory modeling. Adolescent leisure time physical activity (LTPA) and sociodemographic characteristics (sex, marital and family status, education, work status, occupation, and health consciousness) were examined as possible correlates of physical activity patterns using multinomial regression analysis.ResultsFive patterns were identified: consistently low activity (45%), active on weekday evenings and weekends (32%), consistently moderate activity (11%), active on weekdays (7%), and consistently high activity (5%). Low adolescent LTPA was associated with consistently low activity pattern in young adulthood. Women were more likely than men to belong in the more physically active groups (all other groups except active on weekdays, odds ratios between 2.26 and 6.17). Those in the active on weekdays group had lower education, were more often in the working life and in manual occupations than those in the consistently low activity group.ConclusionsMarked heterogeneity in physical activity patterns across the week was observed among young adults. Especially history of physical activity, sex, education, work status, and occupation were associated with different physical activity patterns.

show abstract

Associations of timing of physical activity with all-cause and cause-specific mortality in a prospective cohort study

Cited by 36 publications

References 46 publications

Effects of exercise timing on metabolic health

Effects of exercise timing on metabolic health

Habitual Short Sleep Duration, Diet, and Development of Type 2 Diabetes in Adults

Weekday and weekend physical activity patterns and their correlates among young adults

Contact Info

Product

Resources

About