Dataset Information

Physical activity and sedentary behavior patterns and sociodemographic correlates in 116,982 adults from six South American countries: the South American physical activity and sedentary behavior network (SAPASEN).

ABSTRACT: BACKGROUND:Physical inactivity and sedentary behavior are major concerns for public health. Although global initiatives have been successful in monitoring physical activity (PA) worldwide, there is no systematic action for the monitoring of correlates of these behaviors, especially in low- and middle-income countries. Here we describe the prevalence and distribution of PA domains and sitting time in population sub-groups of six south American countries. METHODS:Data from the South American Physical Activity and Sedentary Behavior Network (SAPASEN) were used, which includes representative data from Argentina (n?=?26,932), Brazil (n?=?52,490), Chile (n?=?3719), Ecuador (n?=?19,851), Peru (n?=?8820), and Suriname (n?=?5170). Self-reported leisure time (?150?min/week), (?150?min/week), transport (?10?min/week), and occupational PA total (?10?min/week), as well as sitting time (?4?h/day) were captured in each national survey. Sex, age, income, and educational status were exposures. Descriptive statistics and harmonized random effect meta-analyses were conducted. RESULTS:The prevalence of PA during leisure (Argentina: 29.2% to Peru: 8.6%), transport (Peru: 69.7% to Ecuador: 8.8%), and occupation (Chile: 60.4 to Brazil 18.3%), and ?4?h/day of sitting time (Peru: 78.8% to Brazil: 14.8%) differed widely between countries. Moreover, total PA ranged between 60.4% (Brazil) and 82.9% (Chile) among men, and between 49.4% (Ecuador) and 74.9% (Chile) among women. Women (low leisure and occupational PA) and those with a higher educational level (low transportation and occupational PA as well as high sitting time) were less active. Concerning total PA, men, young and middle-aged adults of high educational status (college or more) were, respectively, 47%?[OR?=?0.53 (95% CI?=?0.36-0.78), I2 =?76.6%], 25%?[OR?=?0.75 (95% CI?=?0.61-0.93), I2 =?30.4%] and 32%?[OR?=?0.68 (95% CI?=?0.47-1.00), I2 =?80.3%] less likely to be active. CONCLUSIONS:PA and sitting time present great ranges and tend to vary across sex and educational status in South American countries. Country-specific exploration of trends and population-specific interventions may be warranted.

SUBMITTER: Werneck AO

PROVIDER: S-EPMC6701122 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Physical activity and sedentary behavior patterns and sociodemographic correlates in 116,982 adults from six South American countries: the South American physical activity and sedentary behavior network (SAPASEN).

Werneck André O AO Baldew Se-Sergio SS Miranda J Jaime JJ Díaz Arnesto Oscar O Stubbs Brendon B Silva Danilo R DR

The international journal of behavioral nutrition and physical activity 20190820 1

<h4>Background</h4>Physical inactivity and sedentary behavior are major concerns for public health. Although global initiatives have been successful in monitoring physical activity (PA) worldwide, there is no systematic action for the monitoring of correlates of these behaviors, especially in low- and middle-income countries. Here we describe the prevalence and distribution of PA domains and sitting time in population sub-groups of six south American countries.<h4>Methods</h4>Data from the South ...[more]

PMID: 31429772

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Project description:The objectives of this study were to examine differences in physical activity behaviors as a function of human immunodeficiency virus (HIV) status and sex, to test differences in physical activity self-efficacy (PASE), body weight satisfaction (BWS), and enjoyment of physical activity as a function of HIV status, and to determine if PASE, BWS, and enjoyment are associated with daily physical activity (daily PA), muscle strengthening activities, and sedentary behavior of youth with and without HIV. A total of 250 HIV positive (HIV+) and HIV negative (HIV-) youth from Botswana aged 12-23 years (Mean = 17.87, SD = 2.24) participated in the study. The HIV+ group (n = 88) was recruited from a previous 12-month antiretroviral therapy (ART) and nutrition intervention study. The HIV- group (n = 162) was randomly selected from public junior and senior (secondary) high schools in and around Gaborone. Participants' PASE, BWS, enjoyment of physical activity, daily PA, muscle strengthening, body mass index (BMI), and sedentary behavior were obtained using items from the Youth Risk Behavior Surveillance Survey. Multivariate analysis of variance (MANOVA) showed that the HIV- group (M = 1.20, SE = 0.06, CI = 1.08 to 1.32) had significantly higher daily PA than the HIV+ group (M = 0.99, SE = 0.08, CI = 0.82 to 1.15). The HIV- group (M = 0.91, SE = 0.06, CI = 0.79 to 1.03) also reported participating significantly more in muscle strengthening activities than the HIV+ group (M = 0.63, SD = 0.08, CI = 0.47 to 0.78). Multiple regression analyses showed that higher PASE (p < .001) and greater enjoyment of PA (p < .01) were predictive of higher daily PA. HIV- participants had higher PASE but lower BWS compared to HIV+ participants. Sex and age differences were observed in muscle strengthening activities and sedentary behavior. This study supports previous findings on the association of efficacy beliefs to daily PA and muscle strengthening activities. The findings have implications for PA interventions aimed at health promotion and mitigation of the effects of living with HIV/AIDS.

Project description:BackgroundSouth Asians are one of the fastest growing ethnic groups in western countries with a high incidence of chronic diseases like metabolic syndrome and cardiovascular disease occurring at younger ages and lower body weight compared with white Europeans. Physically active lifestyle and reduced sedentary time are modifiable risk factors that can decrease burden of chronic diseases. Population-level surveys based on self-report show South Asians engage in low levels of physical activity. Because of known limitations with self-report data, we aimed to synthesize available evidence to generate a physical activity /sedentary time profile of South Asians from studies using accelerometry.MethodsWe systematically searched Medline, EMBASE, CINAHL, PsycINFO, and SportDiscus. We included studies applying accelerometry to measure physical activity /sedentary time under free-living. Studies with an exclusive focus on drugs or including participants with health conditions/physical disability, and special populations (athletes/pregnant women) were excluded. Two authors independently adjudicated inclusion of citations at title/abstract and full text. We applied a standardized data abstraction form to extract relevant data. We evaluated methodological quality using Newcastle Ottawa Quality Assessment Scale. Due to variability and inconsistencies in measurement and reporting of physical activity /sedentary time, we only provide a narrative synthesis.FindingsWe identified only 14 studies(n = 1,338). Despite using similar accelerometry assumptions, we noted variability in reported outcomes for physical activity and sedentary time. Sedentary time ranged from 482(98) to 587 min/day. Mean light physical activity ranged from 211.69(67. 38) to 574(227) min/day. Moderate to vigorous physical activity among South Asian women ranged from 17-41 min/day and among men, 32-43 min/day.ConclusionSouth Asians exhibited higher levels of physical activity when compared to the Canadian population level survey but not when compared to the American population level survey. Overall, fewer studies, and small sample sizes led to considerable variability limiting any effective comparisons. Results highlight the importance of conducting methodologically robust studies based on random sampling to advance the field, and to capture true levels of sedentary time and physical activity in the South Asian population.

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Project description:BackgroundPhysical inactivity and sedentary behavior are significant risk factors for various non-communicable diseases. Bangkok, Thailand's capital, is one of the fastest-growing metropolitans in Southeast Asia. Few studies have investigated the epidemiology of physical activity and sedentary behavior among Bangkok residents. This study aims to investigate the prevalence of combined physical activity and sedentary behavior patterns among Bangkok residents and examine relationships between participants' characteristics and the combined movement patterns.MethodsWe analyzed data from the nationally representative 2021 Health Behavior Survey conducted by the Thailand National Statistical Office. The Global Physical Activity Questionnaire was used to assess physical activity and sedentary behavior. 'Sufficiently active' was defined as meeting the World Health Organization's guidelines for aerobic physical activity (≥150 minutes of moderate-to-vigorous physical activity per week). 'Low sedentary time' was defined as sitting for ≤7 hours per day. Participants were categorized into one of four movement patterns: highly active/low sedentary, highly active/highly sedentary, low active/low sedentary, and low active/highly sedentary. Multinomial logistic regression was used to identify the factors associated with each group of four movement patterns.ResultsAmong the 3,137 individuals included in the study, the majority were categorized as highly active/highly sedentary (64.8%), followed by highly active/low sedentary (17.9%) and low active/highly sedentary (14.3%). Only a few (3.0%) of participants were categorized as being low active/low sedentary. Compared to males, female participants had a significantly higher likelihood of belonging to the highly active/low sedentary (AOR = 1.69, 95%CI: 1.25, 2.28) or highly active/highly sedentary (AOR = 1.51, 95%CI: 1.19, 1.93) group, rather than the low active/high sedentary group. Compared to unemployed/retired participants, those in labor-intensive occupations had a significantly higher likelihood of being in the highly active/low sedentary group (AOR = 1.89, 95%CI: 1.22, 2.94). Compared to participants with no chronic physical conditions, participants who reported multimorbidity had a significantly lower likelihood of being in the highly active/low sedentary group (AOR = 0.60, 95%CI: 0.37, 0.98).ConclusionThis study provides valuable insights into the patterns of physical activity and sedentary behavior among residents of Bangkok using up-to-date data. The majority belonged to the highly active/highly sedentary group, followed by the highly active/low sedentary group. Correlates such as sex, occupation, and chronic conditions were associated with these patterns. Targeted interventions in recreational activities, workplaces, and urban areas, including screen time control measures, movement breaks and improved built environments, are crucial in reducing sedentary behavior and promoting physical activity.

Dataset Information

Physical activity and sedentary behavior patterns and sociodemographic correlates in 116,982 adults from six South American countries: the South American physical activity and sedentary behavior network (SAPASEN).

Publications

Physical activity and sedentary behavior patterns and sociodemographic correlates in 116,982 adults from six South American countries: the South American physical activity and sedentary behavior network (SAPASEN).

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