scholarly journals Compositional analysis of the association between mortality and 24-hour movement behaviour from NHANES

2019 ◽  
pp. 204748731986778 ◽  
Author(s):  
Duncan E McGregor ◽  
Javier Palarea-Albaladejo ◽  
Philippa M Dall ◽  
Borja del Pozo Cruz ◽  
Sebastien FM Chastin
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Time Use ◽  
Compositional Data ◽  
Cox Regression ◽  
Vigorous Physical Activity ◽  
Lifestyle Factors ◽  
Accelerometer Data ◽  
Cox Regression Analysis ◽  
Daily Time

Aims Previous prospective studies of the association between mortality and physical activity have generally not fully accounted for the interplay between movement behaviours. A compositional data modelling approach accounts for relative scale and co-dependency in time-use data across physical activity behaviours of the 24-hour day. Methods A prospective analysis of the National Health and Nutrition Examination Survey 2005–2006 on N = 1468 adults ( d = 135 deaths) in ages 50–79 years was undertaken using compositional Cox regression analysis. Daily time spent in sedentary behaviour, light intensity (LIPA) and moderate-to-vigorous physical activity (MVPA) was determined from waist-mounted accelerometer data (Actigraph 7164) and supplemented with self-reported sleep data to determine the daily time-use composition. Results The composition of time spent in sedentary behaviour, LIPA, MVPA and sleep was associated with mortality rate after allowing for age and sex effects ( p < 0.001), and remained significant when other lifestyle factors were added ( p < 0.001). This was driven primarily by the preponderance of MVPA; however, significant changes are attributable to LIPA relative to sedentary behaviour and sleep, and sedentary behaviour relative to sleep. The final ratio ceased to be statistically significant after incorporating lifestyle factors. The preponderance of MVPA ceased to be statistically significant after incorporating health at outset and physical limitations on movement. Conclusions An association is inferred between survival rate and the physical activity composition of the day. The MVPA time share is important, but time spent in LIPA relative to sedentary behaviour and sleep is also a significant factor. Increased preponderance of MVPA may have detrimental associations at higher levels of MVPA.

scholarly journals The difference in sleep, sedentary behaviour, and physical activity between older adults with ‘healthy’ and ‘unhealthy’ cardiometabolic profiles: a cross-sectional compositional data analysis approach

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Declan John Ryan ◽  
Jorgen Antonin Wullems ◽  
Georgina Kate Stebbings ◽  
Christopher Ian Morse ◽  
Claire Elizabeth Stewart ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behaviour ◽  
Time Use ◽  
Compositional Data ◽  
Vigorous Physical Activity ◽  
Glycated Haemoglobin ◽  
Compositional Data Analysis ◽  
Entire Study ◽  
Sample Time

Abstract Background Studies have seldom used Compositional Data Analysis (CoDA) to map the effects of sleep, sedentary behaviour, and physical activity on older adults’ cardio-metabolic profiles. This study therefore aimed to illustrate how sleep, sedentary behaviour, and physical activity profiles differ between older adult groups (60–89 years), with ‘low’ compared to those with ‘high’ concentrations of endocrine cardio-metabolic disease risk markers, using CoDA. Method Ninety-three participants (55% female) wore a thigh-mounted triaxial accelerometer for seven consecutive free-living days. Accelerometer estimates of daily average hours of engagement in sedentary behaviour (SB), standing, light-intensity physical activity (LIPA), sporadic moderate-vigorous physical activity (sMVPA, accumulated with bouts between 1 and 10 min), 10-min moderate-vigorous physical activity (10MVPA, accumulated with bouts ≥10 min), in addition to self-reported sleeping hours were reported. Fasted whole blood concentrations of total cholesterol, triglyceride, glucose, and glycated haemoglobin, and serum lipoprotein lipase (LPL), interleukin-6 (IL-6), and procollagen III N-terminal propeptide were determined. Results Triglyceride concentration appeared to be highly dependent on 10MVPA engagement as the ‘low’ and ‘high’ concentration groups engaged in 48% more and 32% less 10MVPA, respectively, relative to the geometric mean of the entire study sample. Time-use composition of the ‘low’ LPL group’s engagement in 10MVPA was 26% less, while the ‘high’ LPL group was 7.9% more, than the entire study sample. Time-use composition of the ‘high’ glucose and glycated haemoglobin groups appeared to be similar as both engaged in more Sleep and SB, and less 10MVPA compared to the study sample. Participants with a ‘low’ IL-6 concentration engaged in 4.8% more Sleep and 2.7% less 10MVPA than the entire study sample. Time-use composition of the Total Cholesterol groups was mixed with the ‘low’ concentration group engaging in more Standing and 10MVPA but less Sleep, SB, LIPA, and sMVPA than the entire study sample. Conclusion Older adults should aim to increase 10MVPA engagement to improve lipid profile and decrease SB engagement to improve glucose profile.

scholarly journals Joint association between accelerometry-measured daily combination of time spent in physical activity, sedentary behaviour and sleep and all-cause mortality: a pooled analysis of six prospective cohorts using compositional analysis

2021 ◽  
pp. bjsports-2020-102345
Author(s):  
Sebastien Chastin ◽  
Duncan McGregor ◽  
Javier Palarea-Albaladejo ◽  
Keith M Diaz ◽  
Maria Hagströmer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Sedentary Time ◽  
Cox Regression ◽  
Vigorous Physical Activity ◽  
Pooled Analysis ◽  
Light Physical Activity ◽  
Cox Regression Analysis ◽  
All Cause Mortality ◽  
Prospective Cohorts

ObjectiveTo examine the joint associations of daily time spent in different intensities of physical activity, sedentary behaviour and sleep with all-cause mortality.MethodsFederated pooled analysis of six prospective cohorts with device-measured time spent in different intensities of physical activity, sedentary behaviour and sleep following a standardised compositional Cox regression analysis.Participants130 239 people from general population samples of adults (average age 54 years) from the UK, USA and Sweden.Main outcomeAll-cause mortality (follow-up 4.3–14.5 years).ResultsStudies using wrist and hip accelerometer provided statistically different results (I2=92.2%, Q-test p<0.001). There was no association between duration of sleep and all-cause mortality, HR=0.96 (95% CI 0.67 to 1.12). The proportion of time spent in moderate to vigorous physical activity was significantly associated with lower risk of all-cause mortality (HR=0.63 (95% CI 0.55 to 0.71) wrist; HR=0.93 (95% CI 0.87 to 0.98) hip). A significant association for the ratio of time spent in light physical activity and sedentary time was only found in hip accelerometer-based studies (HR=0.5, 95% CI 0.42 to 0.62). In studies based on hip accelerometer, the association between moderate to vigorous physical activity and mortality was modified by the balance of time spent in light physical activity and sedentary time.ConclusionThis federated analysis shows a joint dose–response association between the daily balance of time spent in physical activity of different intensities and sedentary behaviour with all-cause mortality, while sleep duration does not appear to be significant. The strongest association is with time spent in moderate to vigorous physical activity, but it is modified by the balance of time spent in light physical activity relative to sedentary behaviour.

scholarly journals Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Manasa S. Yerramalla ◽  
Duncan E. McGregor ◽  
Vincent T. van Hees ◽  
Aurore Fayosse ◽  
Aline Dugravot ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behaviour ◽  
Cox Regression ◽  
Vigorous Physical Activity ◽  
Movement Behaviour ◽  
Cvd Risk ◽  
Daily Movement ◽  
Intensity Physical Activity ◽  
Current Duration

Abstract Background Moderate-to-vigorous physical activity (MVPA) is proposed as key for cardiovascular diseases (CVD) prevention. At older ages, the role of sedentary behaviour (SB) and light intensity physical activity (LIPA) remains unclear. Evidence so far is based on studies examining movement behaviours as independent entities ignoring their co-dependency. This study examines the association between daily composition of objectively-assessed movement behaviours (MVPA, LIPA, SB) and incident CVD in older adults. Methods Whitehall II accelerometer sub-study participants free of CVD at baseline (N = 3319, 26.7% women, mean age = 68.9 years in 2012–2013) wore a wrist-accelerometer from which times in SB, LIPA, and MVPA during waking period were extracted over 7 days. Compositional Cox regression was used to estimate the hazard ratio (HR) for incident CVD for daily compositions of movement behaviours characterized by 10 (20 or 30) minutes greater duration in one movement behaviour accompanied by decrease in another behaviour, while keeping the third behaviour constant, compared to reference composition. Analyses were adjusted for sociodemographic, lifestyle, cardiometabolic risk factors and multimorbidity index. Results Of the 3319 participants, 299 had an incident CVD over a mean (SD) follow-up of 6.2 (1.3) years. Compared to daily movement behaviour composition with MVPA at recommended 21 min per day (150 min/week), composition with additional 10 min of MVPA and 10 min less SB was associated with smaller risk reduction – 8% (HR, 0.92; 95% CI, 0.87–0.99) – than the 14% increase in risk associated with a composition of similarly reduced time in MVPA and more time in SB (HR, 1.14; 95% CI, 1.02–1.27). For a given MVPA duration, the CVD risk did not differ as a function of LIPA and SB durations. Conclusions Among older adults, an increase in MVPA duration at the expense of time in either SB or LIPA was found associated with lower incidence of CVD. This study lends support to public health guidelines encouraging increase in MVPA or at least maintain MVPA at current duration.

scholarly journals The Associations Between Socioeconomic Status and Lifestyle Factors in European Adolescents: A Population-based Study

2017 ◽  
Vol 57 (2) ◽  
pp. 111-124
Author(s):  
Dario Novak ◽  
Štefan Lovro ◽  
Branislav Antala ◽  
Arunas Emeljanovas ◽  
Brigita Mieziene ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Psychological Distress ◽  
Sedentary Behaviour ◽  
Mediterranean Diet ◽  
Vigorous Physical Activity ◽  
Lifestyle Factors ◽  
Cross Sectional ◽  
Independent Variables ◽  
Self Rated Health

Abstract The main purpose of the present study was to determine the associations between socioeconomic status (SES) and lifestyle factors. In this cross-sectional study, participants were 3,072 adolescents from two European countries of Lithuania and Serbia. The dependent variable was SES, while independent variables were gender, adherence to a Mediterranean diet, body-mass index, self-rated health, psychological distress, moderate-to-vigorous physical activity and sedentary behaviour. The associations between dependent and independent variables were analysed by using logistic regression analysis. In univariate model, middle/high SES was associated with higher adherence to a Mediterranean diet (ptrend = 0.003), good self-rated health (OR 1.51; 95 % CI 1.12 to 2.05) and meeting recommendations of moderate-to-vigorous physical activity (OR 2.09; 95 % CI 1.45 to 3.00), yet inversely associated with psychological distress (OR 0.81; 95 % CI 0.66 to 0.99) and sedentary behaviour (OR 0.80; 95 % CI 0.68 to 0.94). No associations were found between SES and bodymass index and gender. In multivariate model, the same associations occurred between middle/high SES and lifestyle factors. In conclusion, special strategies and policies, based on more affordable nutrition and participation in moderate-to-vigorous physical activity, should be implemented within the system.

scholarly journals Standardised criteria for classifying the International Classification of Activities for Time-use Statistics (ICATUS) activity groups into sleep, sedentary behaviour, and physical activity

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Nucharapon Liangruenrom ◽  
Melinda Craike ◽  
Dorothea Dumuid ◽  
Stuart J. H. Biddle ◽  
Catrine Tudor-Locke ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Time Use ◽  
Classification System ◽  
Vigorous Physical Activity ◽  
Delphi Survey ◽  
International Classification ◽  
Expert Assessment ◽  
Activity Groups

Abstract Background Globally, the International Classification of Activities for Time-Use Statistics (ICATUS) is one of the most widely used time-use classifications to identify time spent in various activities. Comprehensive 24-h activities that can be extracted from ICATUS provide possible implications for the use of time-use data in relation to activity-health associations; however, these activities are not classified in a way that makes such analysis feasible. This study, therefore, aimed to develop criteria for classifying ICATUS activities into sleep, sedentary behaviour (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA), based on expert assessment. Method We classified activities from the Trial ICATUS 2005 and final ICATUS 2016. One author assigned METs and codes for wakefulness status and posture, to all subclass activities in the Trial ICATUS 2005. Once coded, one author matched the most detailed level of activities from the ICATUS 2016 with the corresponding activities in the Trial ICATUS 2005, where applicable. The assessment and harmonisation of each ICATUS activity were reviewed independently and anonymously by four experts, as part of a Delphi process. Given a large number of ICATUS activities, four separate Delphi panels were formed for this purpose. A series of Delphi survey rounds were repeated until a consensus among all experts was reached. Results Consensus about harmonisation and classification of ICATUS activities was reached by the third round of the Delphi survey in all four panels. A total of 542 activities were classified into sleep, SB, LPA, and MVPA categories. Of these, 390 activities were from the Trial ICATUS 2005 and 152 activities were from the final ICATUS 2016. The majority of ICATUS 2016 activities were harmonised into the ICATUS activity groups (n = 143). Conclusions Based on expert consensus, we developed a classification system that enables ICATUS-based time-use data to be classified into sleep, SB, LPA, and MVPA categories. Adoption and consistent use of this classification system will facilitate standardisation of time-use data processing for the purpose of sleep, SB and physical activity research, and improve between-study comparability. Future studies should test the applicability of the classification system by applying it to empirical data.

scholarly journals Substitutions of physical activity, sedentary behaviour and sleep: associations with mental health in middle-aged and elderly persons

2021 ◽  
pp. jech-2020-215883
Author(s):  
Amy Hofman ◽  
Trudy Voortman ◽  
M. Arfan Ikram ◽  
Annemarie I Luik
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
Population Based ◽  
Elderly Persons ◽  
Accelerometer Data ◽  
Middle Aged

BackgroundPhysical activity, sedentary behaviour and sleep are potential risk factors of mental health disorders, but previous studies have not considered the dependency between these activity domains. Therefore, we examined the associations of reallocations of time among older adults’ physical activity, sedentary behaviour and sleep with depressive and anxiety symptoms using compositional isotemporal substitution analyses.MethodsWe included 1943 participants (mean age 71 years, SD: 9; 52% women) from the population-based Rotterdam Study. Between 2011 and 2016, we collected accelerometer data (mean duration 5.8 days, SD: 0.4) on physical activity, sedentary behaviour and sleep and self-reported data on depressive symptoms and anxiety.ResultsA reallocation of 30 min more moderate-to-vigorous physical activity was associated with a −0.55 (95% CI −1.04 to −0.06) points lower depressive symptoms score when replacing sleep and a −0.59 (95% CI −1.06 to −0.12) points lower score when replacing sedentary behaviour, but not when replacing light physical activity (−0.70, 95% CI −1.63 to 0.24). No associations were found for anxiety.ConclusionReplacing sedentary behaviour or sleep with more moderate-to-vigorous physical activity was associated with less depressive symptoms, suggesting that mainly intensive types of physical activity are important for middle-aged and older adults in relation to depressive symptoms.

Cardiovascular or mortality risk of controlled hypertension and importance of physical activity

Heart ◽  
2021 ◽  
pp. heartjnl-2020-318193
Author(s):  
Sehoon Park ◽  
Kyungdo Han ◽  
Soojin Lee ◽  
Yaerim Kim ◽  
Yeonhee Lee ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Cox Regression ◽  
Vigorous Physical Activity ◽  
Study Groups ◽  
Adverse Outcomes ◽  
Uncontrolled Hypertension ◽  
Cox Regression Analysis ◽  
Cerebrovascular Events ◽  
All Cause Mortality

ObjectiveTo investigate the risk of major adverse cardiac and cerebrovascular events (MACCEs) and all-cause death of patients with controlled hypertension and suggest the benefits of physical activity in their prognosis.MethodsPeople aged 40–69 years from the prospective UK Biobank cohort (UKB, n=220 026) and the retrospective Korean National Health Insurance Service cohort (KNHIS, n=3 593 202) were included in this observational cohort study, excluding those with previous cerebrocardiovascular diseases or hypertension without treatment. The study groups were stratified into normotension, controlled hypertension (patients with hypertension with systolic blood pressure <140 mm Hg and diastolic blood pressure <90 mm Hg) and uncontrolled hypertension groups. The outcomes were MACCEs and all-cause mortality, analysed by Cox regression analysis.ResultsWe included 161 405/18 844/39 777 and 3 122 890/383 828/86 484 individuals with normotension/controlled hypertension/uncontrolled hypertension state from the UKB and KNHIS cohorts, respectively. The controlled hypertension group showed significantly higher risk of MACCEs (UKB: adjusted HR 1.73 (95% CI 1.55 to 1.92); KNHIS: 1.46 (95% CI 1.43 to 1.49)) and all-cause mortality (UKB: adjusted HR 1.28 (95% CI 1.18 to 1.39); KNHIS: 1.29 (95% CI 1.26 to 1.32)) than individuals with normotension. The controlled hypertension group not involved in any moderate or moderate-to-vigorous physical activity showed high risk of adverse outcomes, which was comparable with or even higher than the risk of patients with uncontrolled hypertension who were engaged in physical activity.ConclusionsControlled hypertension is associated with residual risks of adverse outcomes. Clinicians may encourage physical activity for patients with controlled hypertension, not being reassured by their achieved target blood pressure values.

scholarly journals Compositional Data Analysis in Time-Use Epidemiology: What, Why, How

2020 ◽  
Vol 17 (7) ◽  
pp. 2220 ◽  
Author(s):  
Dorothea Dumuid ◽  
Željko Pedišić ◽  
Javier Palarea-Albaladejo ◽  
Josep Antoni Martín-Fernández ◽  
Karel Hron ◽  
...  
Keyword(s):  
Physical Activity ◽  
Data Analysis ◽  
Sedentary Behavior ◽  
Time Use ◽  
Compositional Data ◽  
Compositional Data Analysis ◽  
Health It ◽  
Future Directions ◽  
The Relationship ◽  
Daily Time

In recent years, the focus of activity behavior research has shifted away from univariate paradigms (e.g., physical activity, sedentary behavior and sleep) to a 24-h time-use paradigm that integrates all daily activity behaviors. Behaviors are analyzed relative to each other, rather than as individual entities. Compositional data analysis (CoDA) is increasingly used for the analysis of time-use data because it is intended for data that convey relative information. While CoDA has brought new understanding of how time use is associated with health, it has also raised challenges in how this methodology is applied, and how the findings are interpreted. In this paper we provide a brief overview of CoDA for time-use data, summarize current CoDA research in time-use epidemiology and discuss challenges and future directions. We use 24-h time-use diary data from Wave 6 of the Longitudinal Study of Australian Children (birth cohort, n = 3228, aged 10.9 ± 0.3 years) to demonstrate descriptive analyses of time-use compositions and how to explore the relationship between daily time use (sleep, sedentary behavior and physical activity) and a health outcome (in this example, adiposity). We illustrate how to comprehensively interpret the CoDA findings in a meaningful way.

scholarly journals GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies

2021 ◽  
pp. bjsports-2020-103604
Author(s):  
Jairo H Migueles ◽  
Eivind Aadland ◽  
Lars Bo Andersen ◽  
Jan Christian Brønd ◽  
Sebastien F Chastin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Data Analysis ◽  
Sedentary Behaviour ◽  
Compositional Data ◽  
Epidemiological Studies ◽  
Future Research ◽  
Compositional Data Analysis ◽  
Accelerometer Data ◽  
Physical Behaviour ◽  
Analytical Approaches

The inter-relationship between physical activity, sedentary behaviour and sleep (collectively defined as physical behaviours) is of interest to researchers from different fields. Each of these physical behaviours has been investigated in epidemiological studies, yet their codependency and interactions need to be further explored and accounted for in data analysis. Modern accelerometers capture continuous movement through the day, which presents the challenge of how to best use the richness of these data. In recent years, analytical approaches first applied in other scientific fields have been applied to physical behaviour epidemiology (eg, isotemporal substitution models, compositional data analysis, multivariate pattern analysis, functional data analysis and machine learning). A comprehensive description, discussion, and consensus on the strengths and limitations of these analytical approaches will help researchers decide which approach to use in different situations. In this context, a scientific workshop and meeting were held in Granada to discuss: (1) analytical approaches currently used in the scientific literature on physical behaviour, highlighting strengths and limitations, providing practical recommendations on their use and including a decision tree for assisting researchers’ decision-making; and (2) current gaps and future research directions around the analysis and use of accelerometer data. Advances in analytical approaches to accelerometer-determined physical behaviours in epidemiological studies are expected to influence the interpretation of current and future evidence, and ultimately impact on future physical behaviour guidelines.

Sign in / Sign up

Export Citation Format

Share Document