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 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 Using Compositional Data Analysis to Explore Associations Between Accumulation of Sedentary Behaviour and Physical Activity and Biomarkers of Cardiometabolic Health in Children and Adolescents: A Cross-Sectional Study

2020 ◽  
Author(s):  
Simone Johanna Josefa Maria Verswijveren ◽  
Karen E. Lamb ◽  
Josep A. Martín-Fernández ◽  
Elisabeth Winkler ◽  
Rebecca M. Leech ◽  
...  
Keyword(s):  
Physical Activity ◽  
Waist Circumference ◽  
Sedentary Behaviour ◽  
Time Use ◽  
Cardiometabolic Risk ◽  
Sedentary Time ◽  
Compositional Data ◽  
Compositional Data Analysis ◽  
Intensity Physical Activity ◽  
Vigorous Intensity

Abstract Background The consequences for youth cardiometabolic risk might depend on whether sedentary time and physical activity are accumulated sporadically (in shorter bouts) or in a sustained pattern (in longer bouts). This study aimed to: 1) describe daily time-use compositions of youth, including time spent in shorter and longer bouts of sedentary behaviour and physical activity; and 2) examine associations between time-use compositions with cardiometabolic biomarkers.Methods Accelerometer and cardiometabolic biomarker data (adiposity, blood pressure, lipids) from 7–13 year olds (mean ± SD: 10.4 ± 1.7) from two Australian studies were pooled (complete cases adiposity n = 772). A time-use composition of nine components was formed using compositional data analysis: time in shorter and longer bouts of sedentary behaviour, light-, moderate- and vigorous-intensity physical activity, and “other time” (i.e., non-wear/sleep). Shorter and longer bouts of sedentary time were defined as < 5 and ≥ 5 min, respectively. Longer light-, moderate- and vigorous-intensity physical activity bouts were defined as ≥ 1 min. Linear regression models examined associations between overall time-use composition and cardiometabolic biomarkers. Then, associations between ratios of longer relative to shorter activity patterns, and each intensity relative to more intense activities and/or “other time”, with cardiometabolic biomarkers were derived.Results Confounder-adjusted models showed that the overall time-use composition was associated with zBMI, waist circumference, systolic blood pressure, high-density lipoprotein cholesterol, triglycerides, and a combined cardiometabolic risk score. Specifically, more time in longer relative to shorter bouts of light-intensity physical activity was associated with greater zBMI (β = 1.79, SE = 0.70, p = 0.010) and waist circumference (β = 17.28, SE = 4.87, p < 0.001). More time in longer relative to shorter bouts of vigorous-intensity physical activity was also associated with higher waist circumference (β = 2.54, SE = 1.14, p = 0.026). More relative time in total light- and vigorous-intensity physical activity (including longer and shorter bouts) was associated with lower waist circumference. In contrast, more relative time in sedentary behaviour and moderate-intensity physical activity was detrimental for waist circumference.Conclusions Accumulating physical activity in frequent short bursts may be beneficial for adiposity compared to engaging in the same amount of these intensities in longer bouts.Trial registration: 'Lifestyle Of Our Kids’ (ACTRN12615000066583 [23/01/2015]) and ‘Transform-Us!’ (ACTRN12609000715279 [19/08/2009], ISRCTN83725066 [30/06/2010]).

scholarly journals How are combinations of physical activity, sedentary behaviour and sleep related to cognitive function in older adults? A systematic review

2021 ◽  
Author(s):  
Maddison L Mellow ◽  
Alyson J Crozier ◽  
Dorothea Dumuid ◽  
Alexandra T Wade ◽  
Mitchell R Goldsworthy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Older Adults ◽  
Cognitive Function ◽  
Sedentary Behaviour ◽  
Time Use ◽  
Brain Function ◽  
Vigorous Physical Activity ◽  
Cognitive Outcomes ◽  
Statistical Methodology

AbstractThe relationships between cognitive function and each of physical activity, sleep and sedentary behaviour in older adults are well documented. However, these three “time use” behaviours are co-dependent parts of the 24-hour day (spending time in one leaves less time for the others), and their best balance for cognitive function in older adults is still largely unknown. This systematic review summarises the existing evidence on the associations between combinations of two or more time-use behaviours and cognitive function in older adults. Embase, Pubmed, PsycInfo, Medline and Emcare databases were searched in March 2020 and updated in May 2021, returning a total of 25,289 papers for screening. A total of 23 studies were included in the synthesis, spanning >23,000 participants (mean age 71 years). Findings support previous evidence that spending more time in physical activity and limiting sedentary behaviour is broadly associated with better cognitive outcomes in older adults. Higher proportions of moderate-vigorous physical activity in the day were most frequently associated with better cognitive function. Some evidence suggests that certain types of sedentary behaviour may be positively associated with cognitive function, such as reading or computer use. Sleep duration appears to share an inverted U-shaped relationship with cognition, as too much or too little sleep is negatively associated with cognitive function. This review highlights considerable heterogeneity in methodological and statistical approaches, and encourages a more standardised, transparent approach to capturing important daily behaviours in older adults. Investigating all three time-use behaviours together against cognitive function using suitable statistical methodology is strongly recommended to further our understanding of optimal 24-hour time-use for brain function in aging.

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 Evaluation of wrist and hip sedentary behaviour and moderate-to-vigorous physical activity raw acceleration cutpoints in older adults

2018 ◽  
Vol 37 (11) ◽  
pp. 1270-1279 ◽  
Author(s):  
George J. Sanders ◽  
Lynne M. Boddy ◽  
S. Andy Sparks ◽  
Whitney B. Curry ◽  
Brenda Roe ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity

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.

scholarly journals Cross-Sectional Associations Between 24-hour Activity Behaviours and Motor Competence in Youth: A Compositional Data Analysis

2022 ◽  
Author(s):  
Richard Tyler ◽  
Andrew J. Atkin ◽  
Jack R. Dainty ◽  
Dorothea Dumuid ◽  
Stuart J. Fairclough
Keyword(s):  
Physical Activity ◽  
Compositional Data ◽  
Vigorous Physical Activity ◽  
Compositional Data Analysis ◽  
School Type ◽  
Motor Competence ◽  
Cross Sectional ◽  
Post Hoc ◽  
Activity Behaviour

Abstract Background The study aimed to examine the cross-sectional associations between 24-hour activity compositions and motor competence in children and adolescents, while stratifying by sex and school type, and investigate the predicted differences in motor competence when time was reallocated between activity behaviours. Methods Data were collected from 359 participants (aged 11.5±1.4 years; 49.3% boys; 96.9% White British). Seven-day 24-hour activity behaviours (sleep, sedentary time, light physical activity (LPA), moderate-to-vigorous physical activity (MVPA)) were assessed using wrist-worn accelerometers. Motor competence outcomes were obtained using the Dragon Challenge (process, product, time, and overall scores). Linear mixed models examined associations between activity behaviour compositions and motor competence outcomes for all participants and stratified by school type (primary or secondary) and sex. Post-hoc analyses modelled the influence of reallocating fixed durations of time between activity behaviours on outcomes. Results In all participants, relative to other activity behaviours, MVPA had the strongest associations with motor competence outcomes. The stratified models displayed that MVPA had the strongest associations with outcomes in both sexes, irrespective of school type. The largest positive, and negative predicted differences occurred when MVPA replaced LPA or sleep, and when LPA or sleep replaced MVPA, respectively. Conclusions Relative to other activity behaviours, MVPA appears to have the greatest influence overall on motor competence outcomes. Reallocating time from LPA or sleep to MVPA reflected the largest positive predicted changes in motor competence outcomes. Therefore, our findings reinforce the key role of MVPA for children’s and adolescents’ motor competence.

scholarly journals The compositional isotemporal substitution model: A method for estimating changes in a health outcome for reallocation of time between sleep, physical activity and sedentary behaviour

2017 ◽  
Vol 28 (3) ◽  
pp. 846-857 ◽  
Author(s):  
Dorothea Dumuid ◽  
Željko Pedišić ◽  
Tyman Everleigh Stanford ◽  
Josep-Antoni Martín-Fernández ◽  
Karel Hron ◽  
...  
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Health Outcome ◽  
Sedentary Behaviour ◽  
Time Use ◽  
Multiple Linear Regression Model ◽  
Health Messages ◽  
Compositional Data Analysis ◽  
Public Health Messages ◽  
Log Ratio

How people use their time has been linked with their health. For example, spending more time being physically active is known to be beneficial for health, whereas long durations of sitting have been associated with unfavourable health outcomes. Accordingly, public health messages have advocated swapping strategies to promote the reallocation of time between parts of the time-use composition, such as “Move More, Sit Less”, with the aim of achieving optimal distribution of time for health. However, the majority of research underpinning these public health messages has not considered daily time use as a composition, and has ignored the relative nature of time-use data. We present a way of applying compositional data analysis to estimate change in a health outcome when fixed durations of time are reallocated from one part of a particular time-use composition to another, while the remaining parts are kept constant, based on a multiple linear regression model on isometric log ratio coordinates. In an example, we examine the expected differences in Body Mass Index z-scores for reallocations of time between sleep, physical activity and sedentary behaviour.

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