Dataset Information

Daily domain-specific time-use composition of physical behaviors and blood pressure.

ABSTRACT: BACKGROUND:Previous research has shown contrasting effects on hypertension for occupational and leisure-time physical behaviors-physical activity and sedentary behavior and time in bed. However, (a) none of these studies have addressed the compositional property of the physical behaviors and (b) most knowledge on the association between domain-specific physical behaviors and hypertension relies upon self-reported physical behaviors information primarily on white-collar worker study samples. We aimed to be the first to disentangle the relationship between technically measured 24-h time-use behaviors in work and leisure domains and blood pressure among blue-collar workers using a compositional data analysis approach. METHODS:Workers (n?=?669) wore accelerometers to measure daily minutes of work and leisure sedentary time, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA), and time in bed which were isometrically log-transformed. Cross-sectional linear association between time-use composition and systolic (SBP) and diastolic (DBP) blood pressure were determined using compositional isotemporal substitutions models. RESULTS:The time-use composition at the work and leisure domains was significantly associated with SBP (F?=?4.98, p?

SUBMITTER: Gupta N

PROVIDER: S-EPMC6327498 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Daily domain-specific time-use composition of physical behaviors and blood pressure.

Gupta Nidhi N Korshøj Mette M Dumuid Dorothea D Coenen Pieter P Allesøe Karen K Holtermann Andreas A

The international journal of behavioral nutrition and physical activity 20190110 1

<h4>Background</h4>Previous research has shown contrasting effects on hypertension for occupational and leisure-time physical behaviors-physical activity and sedentary behavior and time in bed. However, (a) none of these studies have addressed the compositional property of the physical behaviors and (b) most knowledge on the association between domain-specific physical behaviors and hypertension relies upon self-reported physical behaviors information primarily on white-collar worker study sampl ...[more]

PMID: 30630517

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Project description:BACKGROUND:Dramatic increases in child overweight have occurred in China. A comprehensive look at trends in physical activity and sedentary behaviors among Chinese youth is needed. The study aimed to examine trends in domain-specific physical activity and sedentary behaviors, explore mean and distributional changes in predicted behaviors over time, and investigate how behaviors vary by residence. METHODS:Using 2004-2011 China Health and Nutrition Survey data, adjusted means for MET-hours/week from physical activity and hours/week from sedentary behaviors were determined for school children (6-18 years), stratifying by gender, age group, and residence. Physical activity domains included in-school physical activity, active leisure (out-of-school physical activity), active travel (walking or biking), and domestic activity (cooking, cleaning, and child care). For each physical activity domain, the MET-hours/week measure was determined from the total weekly time spent (hours) in domain-specific activities and corresponding MET-values using the Compendium of Energy Expenditures for Youth. Sedentary behaviors included television, computer use, homework, and other behaviors (board games, toys, extracurricular reading and writing). For each sedentary behavior, the hours/week measure was determined from total weekly time spent in specific sedentary behaviors. Residence groups included megacities (population ? 20million), cities/towns (300,000 ? population < 20million), and rural/suburban areas (population < 300,000). Repeated measure linear mixed and quantile regression models were used to predict adjusted means. RESULTS:Little change in physical activity behaviors occurred over time, with the exception of statistically significant trends toward increased domestic activity among male children (p < .05). Across all gender and age groups, statistically significant trends over time toward an average increase in computer use were seen (p < .01); these increases were largely driven by those ?50th percentile on the distribution. Children living in megacities (versus rural areas) reported higher levels of physical activity, homework, and computer use. CONCLUSIONS:Intensified, systematic intervention and policy efforts promoting physical activity and reducing sedentary behaviors among children are needed.

Project description:PurposeThis study aimed to evaluate the effects of sit-to-stand and treadmill desks on sedentary behavior during a 12-month, cluster-randomized multicomponent intervention with an intent-to-treat design in overweight office workers.MethodsSixty-six office workers were cluster-randomized into a control (n = 21; 8 clusters), sit-to-stand desk (n = 23; 9 clusters), or treadmill desk (n = 22; 7 clusters) group. Participants wore an activPAL™ accelerometer for 7 d at baseline, month 3, month 6, and month 12 and received periodic feedback on their physical behaviors. The primary outcome was total daily sedentary time. Exploratory outcomes included total daily and workplace sedentary, standing and stepping time, and the number of total daily and workplace sedentary, standing, and stepping bouts. Intervention effects were analyzed using random-intercept mixed linear models accounting for repeated measures and clustering effects.ResultsTotal daily sedentary time did not significantly differ between or within groups after 12 months. Month 3 gains were observed in total daily and workplace standing time in both intervention groups (sit-to-stand desk: mean Δ ± SD, 1.03 ± 1.9 h·d-1 and 1.10 ± 1.87 h at work; treadmill desk: mean Δ ± SD, 1.23 ± 2.25 h·d-1 and 1.44 ± 2.54 h at work). At month 3, the treadmill desk users stepped more at the workplace than the control group (mean Δ ± SD, 0.69 ± 0.87 h). Month 6 gains in total daily stepping were observed within the sit-to-stand desk group (mean Δ ± SD, 0.82 ± 1.62 h·d-1), and month 3 gains in stepping at the workplace were observed for the treadmill desk group (mean Δ ± SD, 0.77 ± 0.83 h). These trends were sustained through month 12 in only the sit-to-stand desk group.ConclusionsActive-workstation interventions may cause short-term improvements in daily standing and stepping. Treadmill desk users engaged in fewer sedentary bouts, but sit-to-stand desks resulted in more frequent transitions to upright physical behaviors.

Project description:BackgroundPhysical activity is important for the control of high blood pressure (hypertension). We aimed to investigate the associations of current physical activity levels, sedentary time, knowledge of and attitude towards physical activity with blood pressure in people with hypertension in a rural area in Bangladesh.MethodsA total of 307 adults aged 30 to 75 years with hypertension were recruited from the Banshgram Union of Narial district as part of a cluster-randomized control trial. Current blood pressure was measured as the outcome variable. Associated variables included physical activity at work, travel to and from places, recreational activity, metabolic equivalent task (MET)-min, sedentary time, and awareness of and attitudes towards physical activity. Rasch analysis was used to compute a combined score from the five awareness of and attitudes towards physical activity items and categorized into 0-40 (towards negative attitude), 41-60 score (mixed attitude) and 61-100 (positive attitude). We used a generalised linear model to analyze the data.ResultsParticipants (n = 68, 22.1%) who engaged in vigorous-intensity physical activity that causes large increases in breathing or heart rate like carrying or lifting heavy loads, digging or construction work for at least 10 minutes continuously had lower systolic blood pressure (SBP) (mean (95% confidence interval (CI)), 143.6 (140.1, 147.2)) compared to those who did not take part in a vigorous-intensity physical activity (mean (95% CI), 150 (147.6, 152.3)). MET-min less than 600 min/week was significantly associated with higher SBP 153.8 (148.1, 159.6) than MET-min 600-2999 min/week 148.0 (143.0, 152.9) and MET-min>3000 min/week 146.9 (144.5, 149.3), p = 0.001 for trend. Sitting time more than four hours a day was associated with higher DBP 91.4 (89.7, 93.0) compared to those who had sitting time less than fours a day 88.6 (87.1, 90.1). People with positive attitudes were associated with a reduced SBP of 10.6 (0.36, 20.8) mmHg and DBP 5.88 (0.47, 11.3) compared to the people who had a negative attitude towards taking part in physical activity.ConclusionsParticipating in high physical activity and positive attitudes towards physical activity were associated with lower blood pressure levels. Physical activity awareness programs should be implemented to increase awareness of health benefits and increase participation in high physical activity.

Project description:Precise measurement of physical activity is important for health research, providing a better understanding of activity location, type, duration, and intensity. This article describes a novel suite of tools to measure and analyze physical activity behaviors in spatial epidemiology research. We use individual-level, high-resolution, objective data collected in a space-time framework to investigate built and social environment influences on activity. First, we collect data with accelerometers, global positioning system units, and smartphone-based digital travel and photo diaries to overcome many limitations inherent in self-reported data. Behaviors are measured continuously over the full spectrum of environmental exposures in daily life, instead of focusing exclusively on the home neighborhood. Second, data streams are integrated using common timestamps into a single data structure, the "LifeLog." A graphic interface tool, "LifeLog View," enables simultaneous visualization of all LifeLog data streams. Finally, we use geographic information system SmartMap rasters to measure spatially continuous environmental variables to capture exposures at the same spatial and temporal scale as in the LifeLog. These technologies enable precise measurement of behaviors in their spatial and temporal settings but also generate very large datasets; we discuss current limitations and promising methods for processing and analyzing such large datasets. Finally, we provide applications of these methods in spatially oriented research, including a natural experiment to evaluate the effects of new transportation infrastructure on activity levels, and a study of neighborhood environmental effects on activity using twins as quasi-causal controls to overcome self-selection and reverse causation problems. In summary, the integrative characteristics of large datasets contained in LifeLogs and SmartMaps hold great promise for advancing spatial epidemiologic research to promote healthy behaviors.

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Daily domain-specific time-use composition of physical behaviors and blood pressure.

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Daily domain-specific time-use composition of physical behaviors and blood pressure.

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