Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data

Physical activity and sedentary behavior levels among individuals with mental illness: A cross-sectional study from 23 countries

People with mental illness tend to present low levels of physical activity and high levels of sedentary behavior. The study aims to compare these levels in mental illness patients, exploring the role of socioeconomic development and treatment setting. This cross-sectional study used accelerometers and the Simple Physical Activity Questionnaire (SIMPAQ) to assess physical activity and sedentary behavior in mental illness individuals living in 23 countries. Two-way ANOVAs were used to evaluate the interaction between socioeconomic development and the treatment settings on physical activity and sedentary behavior. A total of 884 (men = 55.3%) participants, mean age of 39.3 (SD = 12.8), were evaluated. A significant interaction between socioeconomic development and treatment settings was found in sedentary behavior (F = 5.525; p = 0.019; η2p = 0.009; small effect size). Main effects were observed on socioeconomic development (F = 43.004; p < 0.001; η2p = 0.066; medium effect size) and treatment setting (F = 23.001; p < 0.001; η2p = 0.036; small effect size) for sedentary behavior and physical activity: socioeconomic development (F = 20.888; p < 0.001; η2p = 0.033; small effect size) and treatment setting (F = 30.358; p < 0.001; η2p = 0.047; small effect size), showing that HIC patients were more active, while MIC patients were more sedentary. Moreover, despite of inpatients had presented higher levels of physical activity than outpatients, they also spent more time sitting. Socioeconomic development plays an important role in sedentary behavior in patients with mental disorders, warning the need to develop new strategies to reduce these levels in this population.

Determinants of physical activity engagement in older adults

In order to increase engagement in physical activity, it is important to determine which factors contribute to physical activity engagement in older adults. The current study examined the relative predictive ability of several potential determinants, in terms of both the concurrent level as well as longitudinal trajectories. Clinically normal adults aged 61-92 completed the Physical Activity Scale for the Elderly (n = 189 for cross-sectional models; n = 214 for longitudinal models). Potential determinants included age, gender, education, physical health, sensory health, mood, cardiovascular health, cognitive status, and biomarkers of Alzheimer disease (AD). We observed a novel finding that both concurrent physical health (p < 0.001) and change in physical health (p < 0.001) were significant predictors above and beyond other determinants. Concurrent mood predicted levels of physical activity (p = 0.035), particularly in females. These findings suggest that poor physical health and low mood might be important to consider as potential barriers to physical activity engagement in older adults.

Prevalence and associated factors of physical inactivity among middle-aged and older adults in India: results of a national cross-sectional community survey

OBJECTIVE

This study aimed to determine the prevalence and associated factors of physical inactivity in middle-aged and older adults in India.

DESIGN

Population-based cross-sectional study.

SETTING

Nationally representative sample of general community-dwelling middle-aged and older adult population in India.

PARTICIPANTS

The sample included 72 262 adults (45 years and older, mean age 58.8 years, SD=11.8), from the longitudinal ageing study in India wave 1 in 2017-2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

Self-reported physical activity, along with physical measurements, health status and health behaviour, and sociodemographic covariates. Multivariable logistic regression calculated OR with 95% CI for physical inactivity.

RESULTS

Overall, 36.7% were physically inactive, 42.6% among men, and 32.4% among women (p<0.001). In the adjusted logistic regression analysis, among both men and women, older age (70 years and older), being Sikh, impaired vision and depressive symptoms were positively and cognitive functioning, current tobacco use and social participation were negatively associated with physical inactivity. In addition, among men, higher socioeconomic status, urban residence, functional disability and heart disease or stroke were positively associated with physical inactivity, and among women being married and higher education were negatively, and insomnia symptoms and poor or fair self-rated health status were positively associated with physical inactivity.

CONCLUSIONS

Almost 4 in 10 middle-aged and older adults in India had inadequate physical activity. Overall and gender specific risk factors for physical inactivity were identified. Interventions may operate at multiple levels and consider gender-related physical inactivity patterns.

Effects of Mood Regulation on Sociodemographic Status, Exercise Pattern, and Physical Conditions of Chinese Adults and the Elderly

Objective

This study focused on mood regulations and their association with sociodemographic status, exercise pattern, and physical conditions of adults and older adults in China who did not undergo interventions.

Method

Data were based on the 2016 to 2018 Guangdong National Physique Monitoring data, in which 5242 participants aged 20-69 years were recruited. Multiple statistical analysis methods, such as descriptive and logistic regression analyses, were used to study each exercise motivation and its association with influencing factors, including sociodemographic characteristics, exercise measurements, and physical conditions. An exercise index for mental health was also used to investigate the number and types of people who were more likely to meet the index.

Results

We observed that 44.9% (2355/5242) of participants did not engage in physical exercise in this study. Only older participants (40 to 69 years old) and those with an average level of education (high school/technical secondary school) showed a significant association with exercising for mood regulation. Few people met the index that is good for mental health (16.64% [872/5242] met index 1, and 2.84% (149/5242) met index 2), and higher education showed a significant association with a reduction in the mental health burden and the prevention of depression.

Conclusion

This study found that motivating people to be more active and educating them on the potential mental health benefits of exercise could help them to exercise more.

Sex differences in the association between educational level and specific domains of physical activity: a Brazilian cross-national survey

Objective

Methods

Results

Conclusion

Supplementary Information

Cross-sectional associations of leisure and transport related physical activity with depression and anxiety

BACKGROUND

Previous evidence supports the notion that the physical activity (PA) domain (leisure-time or transport), and the amount of time spent in PA, influence the association of PA with depressive and anxiety symptoms. However, no study evaluated the associations of different volumes of leisure-time PA (LTPA) and transport PA (TPA) with prevalent depression, anxiety, and co-occurring depression and anxiety (D&A) disorders.

AIM

To investigate the associations between different volumes of LTPA and TPA with prevalent depression, anxiety, and D&A.

METHODS

Cross-sectional study using baseline data of the ELSA-Brasil cohort. The International Physical Activity Questionnaire (IPAQ) long-form was used to assess PA levels in each domain. The Clinical Interview Scheduled Revised (CIS-R) was used to diagnose prevalent depressive, anxiety, and D&A disorders. Logistic regressions, adjusting for confounding factors, were employed. Results are expressed as adjusted odds ratios (aOR) and 95% confidence intervals (CI).

RESULTS

A total of 14,381 adults (54.5% female, 67.5% aged 45-64 years) were assessed. T^{ime spent in LTPA was associated with a lower prevalence of depression in low, and high volumes (}60-89min/week^{aOR = 0.47, 95%CI = 0.29-0.76, p = 0.002,} >300min/week^{aOR = 0.43, 95%CI = 0.31-0.59,} p < 0.001). High volumes of LTPA were associated with a lower prevalence ^{D&A (}270-299min/week^{aOR = 0.55, 95%CI 0.38-0.79, p = 0.001}; >300 minutes^{aOR = 0.63, 95%CI 0.54-0.74, p < 0.001). Low (}60-89min/week^{aOR = 0.56,95%CI = 0.40-0.79, p = 0.001)} volumes of TPA were associated with lower prevalence of depression.

LIMITATIONS

Cross-sectional design and self-reported PA. Lack of assessment of sedentary behaviour or occupational PA.

CONCLUSIONS

The present study highlights the importance of contextual factors in the association between PA and mental health, particularly at higher levels.

Accelerometer-Measured Daily Step Counts and Adiposity Indicators among Latin American Adults: A Multi-Country Study

The aim of the present study was to examine the sex-related associations between accelerometer-measured daily step counts and adiposity indicators in adults from eight Latin American countries. We analyzed data from 2524 adults (aged 18–65 years) from the Latin American Study of Nutrition and Health. Device-measured daily step counts were measured by accelerometers (ActiGraph GT3X). The outcomes were body mass index (BMI; (kg/m2), waist and neck circumference (in cm). Overall, the mean of daily steps counts, BMI, waist and neck circumference were 10699.8, 27.3, 89.6, and 35.8. Weak and negative associations were observed between daily steps counts and BMI (r = −0.17; p < 0.05) and waist circumference (r = −0.16; p < 0.05); however, step counts was not associated with neck circumference. Daily steps counts were negatively associated with BMI (β: −0.054; 95%CI: −0.077; −0.012) and waist circumference (−0.098; −0.165; −0.030) independently of age and socioeconomic level. In men, there were significant negative associations between daily steps counts with BMI (−0.075; −0.119; −0.031) and waist circumference (−0.140; −0.233; −0.048), and in women, there was no significant association with either of the body composition indicators. The findings from this study need to be examined in prospective settings that use device-measured from Latin America.

Leisure-time exercise is associated with lower depressive symptoms in community dwelling adults

Physical activity has been associated with enhanced mental health among adults. However, it is not clear in the literature which domains (occupational, transport and leisure-time exercise) and intensities (moderate, vigorous and moderate-to-vigorous) of activity provide the greatest benefits. The aim of the present study was to describe the association of different domains and intensities of physical activity with depressive symptoms in adults. This was a cross-sectional observational study conducted among 209 adults (≥18 years) in Brazil. Depressive symptoms were assessed using the HADS questionnaire (Hospital Anxiety and Depression Scale). Physical activity intensities (moderate, vigorous and moderate-to-vigorous) were device-measured by accelerometry. Physical activity in different domains (occupational, transport, and leisure-time exercise) was self-reported using a questionnaire. Chronological age, ethnicity, body mass index, highest academic achievement, employment status, alcohol consumption, tobacco smoking, chronic morbidity and soft-drink ingestion were adopted as adjustment confounding factors. Linear regression analysis revealed that total self-reported physical activity [β = -0.100 (95%CI: -0.180 to -0.019)] and leisure-time exercise [β = -0.311 (95%CI: -0.468 to -0.155)] were negatively associated with depressive symptoms, but only leisure-time exercise remained significant after adjustment for confounding factors [β = -0.243 (95%CI: -0.409 to -0.076)]. Thus, leisure-time exercise was cross-sectionally associated with lower depressive symptoms in community-dwelling adults.Highlights Leisure-time physical activity was the only physical activity domain associated with lower depressive symptoms.This association appears to be independent of potential confounders.Potential interventions should focus on leisure-time domain.

Sociodemographic correlates of physical activity and sport among adults in Germany: 1997–2018

Introduction

Promoting physical activity (PA) is a key strategy to prevent noncommunicable diseases worldwide. In order to monitor physical activity levels in Germany, several large-scale studies have reported on prevalence rates and correlates. However, a comprehensive analysis of correlates of PA over time is currently lacking for Germany.

Methods

For the analysis, 13 national cross-sectional data sets were utilized. Data analysis was restricted to respondents aged 18 and older. In a first step, data sets were kept separate in order to explore social gradients of PA and sport. In the second step, data sets were pooled, demographic factors harmonized and binary logistic regressions were conducted.

Results

Regarding sports participation, different data sets indicate comparable social gradients. People with a higher age, lower income, lower levels of education, or a migrant background consistently have a higher risk of not engaging in sports. Compared to sports participation, social gradients are less pronounced for engaging in vigorous PA. Higher age, lower education, and lower income are also markers for an increased risk of not engaging in vigorous PA.

Discussion

The study confirms that factors of age, income, education and migrant background continue to contribute to differentials in sport and vigorous PA participation in Germany. For policy-making, this implies that PA promotion should focus on systems-based actions that might reduce population-wide inequalities. Future research might focus on pooling single studies with smaller samples in order to investigate PA and sports participation in specific disadvantaged target groups.

Insufficient physical activity level among Sahrawi adults living in a protracted refugee setting

BACKGROUND

The Sahrawi people fled their homes in 1975 as the conflict in Western Sahara escalated and settled down near Tindouf, Algeria, where they still live. High prevalence of overweight and obesity and type 2 diabetes had been found in this protracted refugee setting. Scaling up national policy efforts to promote physical activity (PA) is critical to reducing the prevalence of noncommunicable diseases (NCDs) in the near future. One possible barrier to the inclusion of PA in NCD prevention strategies is the lack of research on PA level, which may reduce political support and policy development for PA. Thus, the aim of this study was to investigate the PA level among adults living in Sahrawi refugee camps and socioeconomic factors associated with PA.

METHODS

A cross-sectional survey was carried out in 2014 in five refugee camps near Tindouf, Algeria. A total of 180 women and 175 men were included. PA was measured using the international physical activity questionnaire short form (IPAQ-SF).

RESULTS

There was a large amount of variance in reported PA for both genders, ranging from 10 min of total PA per week to above 40 h. Forty-three percent of the participants had a low PA level (defined as not meeting the PA recommendations of 150 min of moderate to vigorous PA per day). The chi-square test of independence showed that males, those aged ≥ 60 years and people with higher education were more likely to be in the low PA level category. No significant relationship was found between PA level and BMI status. Most of the participants thought that engaging in PA would be wise, valuable, right and good but thought to a lesser degree that PA would be easy, comfortable and interesting.

CONCLUSIONS

Almost half of the participants were categorised as insufficiently physically active, however, most of the Sahrawi refugees express a positive attitude towards PA. PA is a low-cost approach to reducing deaths and NCDs, government initiatives to increase PA levels in refugee camps are advised.

Can listening-related fatigue influence well-being? Examining associations between hearing loss, fatigue, activity levels and well-being

Objective

Well-being is influenced by the activities we undertake. Hearing loss may reduce well-being directly through increased listening-related fatigue due to cognitive and emotional strain in challenging situations. Hearing loss and hearing device use may also indirectly impact fatigue and well-being by altering the frequency and type of daily-life activities. This review examines the available literature to help understand the relationships.

Design

We provide (i) a summary of the extant literature regarding hearing loss, hearing device use and fatigue in adults, as well as regarding fatigue and daily-life activity (work, social and physical) and (ii) a systematic search and narrative review of the relationships between hearing loss, hearing device use and activity.

Study sample

The systematic search resulted in 66 eligible texts.

Results

Data examining well-being in persons with hearing loss are limited. Our literature review suggests that well-being can be related directly and indirectly to hearing loss, hearing device use, activity level and listening-related fatigue.

Conclusions

Variations and interactions between hearing loss, hearing device use, fatigue and activity levels can be expected to impact well-being in persons with hearing loss in direct and indirect ways. Future research linking hearing and daily-life fatigue should take account of activity levels.

Physical Activity and Sedentary Behavior among Young Adolescents in 68 LMICs, and Their Relationships with National Economic Development

It is unclear whether physical activity and sedentary behavior are associated with economic development in low- and middle-income countries (LMICs). We aimed to assess the association between these two behaviors and country economic development among young adolescents in LMICs. Data came from the Global School-based Student Health Survey (GSHS) conducted between 2009 and 2016 in 68 LMICs. A total of 180,298 adolescents aged 12–15 years were included; 15.3% of young adolescents achieved the recommended level for sufficient physical activity (≥60 min/day of physical activity of any kind per week according to WHO) and 64.6% achieved a low sedentary behavior (≤2 h of sitting activities/day according to some guidelines, not accounting for sitting time at school or for doing homework). However, only 9.1% of young adolescents met the recommended levels of both behaviors. Comparing the lowest to the highest quintiles of a country’s purchasing power parity per capita (PPP), mean values of both physical activity (boys: 2.55 to 2.96 days/week; girls: 2.10 to 2.31 days/week) and sedentary behavior(boys: 1.86 to 3.13 h/day; girls: 1.83 to 3.53 h/day) increased. The prevalence of having both recommended behaviors decreased among boys (12.0% to 10.0%) and girls (9.6% to 4.9%) (p < 0.001). Although there might be an ecological fallacy, the findings emphasize the need for interventions to increase physical activity and reduce sedentary behavior among children and young adolescents.

Trends and correlates of meeting 24-hour movement guidelines: a 15-year study among 167,577 Thai adults

Background

Time spent in physical activity (PA), sedentary behaviour (SB), and sleep always takes up the whole day. New public health guidelines combining recommendations for PA, SB, and sleep have been issued in several countries. Thailand was the first country to release the 24-h guidelines for adults. Currently, there is no evidence on the population prevalence of meeting 24-h movement guidelines in Thailand. This study, therefore, aimed to determine 15-year trends and associations of meeting 24-h movement guidelines among Thai adults.

Method

We analysed cross-sectional data from 2001, 2004, 2009, and 2015 Thai Time-Use Surveys, coded using the International Classification of Activities for Time-Use Statistics (ICATUS). All ICATUS-based activities were categorised into moderate-to-vigorous PA (MVPA), light PA (LPA), SB, and sleep based on a previously developed classification system. A total of 167,577 adult participants were included. The participants were classified according to the Thai 24-h movement guidelines into meeting or not meeting the following criteria: 1) ≥150 min/week of MVPA; 2) interrupting SB every 2 h; 3) sleeping 7–9 h per day; and 4) adhering to all three guidelines.

Results

In 2015, the prevalence of adults who met the MVPA, SB, sleep, and overall recommendations was 81.7, 44.6, 56.4, and 21.3%, respectively. A significant linear increase was found for the prevalence of meeting the SB recommendation, while the prevalence meeting the MVPA, sleep, and overall recommendations was lowest in 2001, peaked in 2004 or 2009, and declined in 2015. The lowest odds for meeting the 24-h guidelines were found among males, those living in urban areas, inhabitants of Bangkok and South Thailand, unemployed, and those with low education level.

Conclusions

Despite promising trends in the prevalence of meeting PA, SB, and sleep recommendations, a majority of Thai adults still do not meet the overall 24-h movement guidelines. Further actions are needed to promote more MVPA, less SB, and adequate sleep in Thai adults, particularly among males, those living in urban areas, inhabitants of Bangkok and South Thailand, unemployed, and those with low education level.

Independent relationships between different domains of physical activity and depressive symptoms among 60,202 Brazilian adults

OBJECTIVE

To analyze the association between four key different physical activity (PA) domains and depressive symptoms among Brazilian adults.

METHODS

Data from the Brazilian National Health Survey (n = 60,202; ≥18 years) were used. PA across four different domains (leisure, transport, occupational and household) was collected through specific questionnaires. The cutoff point adopted in each domain was 150 min/week. Depression was evaluated through the Patient Health Questionnaire-9. Multivariable adjusted linear and logistic regression models were applied.

RESULTS

Leisure PA was associated with lower depressive symptoms [β: -0.008 (95% CI: -0.010 to -0.005); OR: 0.69 (95% CI: 0.59 to 0.81)]. Transport PA was also associated with lower depressive symptoms among older adults [β -0.008 (-0.012 to -0.003); OR: 0.70 (95% CI: 0.53-0.94)] but not middle-aged adults. On the other hand, occupational PA [β: 0.003 (95% CI: 0.002 to 0.005); OR: 1.62 (95% CI: 1.38 to 1.91)] and household PA [β: 0.009 (95% CI: 0.006 to 0.012); OR: 1.57 (95% CI: 1.37 to 1.79)] were associated with higher depressive symptoms.

CONCLUSION

The association between PA and depression symptoms varies according to the domains of PA and some appear independent from each other. While leisure PA is associated with fewer depressive symptoms; occupational and household PA appear to be associated with an increased depression risk.

Built environment correlates of physical activity in low- and middle-income countries: A systematic review

Insufficient physical activity (PA) is the fourth major risk factor for many non-communicable diseases and premature mortality worldwide. Features of the built environment (BE) play a considerable role in determining population PA behaviors. The majority of evidence for PA-BE relationships comes from high-income countries and may not be generalizable to low- and middle-income countries (LMICs). We aim to systematically review the literature and assess the associations between perceived and/or objective BE characteristics and PA domains in LMICs. This review adopted a systematic search strategy for English language articles published between January 2000 and June 2019 from four electronic databases-Medline, Embase, Web of Science and PubMed-adhering to the PRISMA guidelines. Studies addressing the associations between self-reported and/or objective BE and PA were only included if they were conducted in LMICs, according to the World Bank classification list. Articles investigating PA-BE relationships across any age groups were included, and all study designs were eligible, except for qualitative studies and reviews. Thirty-three studies were included for evidence synthesis. Cross-sectional studies were the most prevailing study design (97%), revealing a notable gap in longitudinal PA-BE research in LMICs. A majority of the BE factors were not associated with different PA domains while others (e.g., density, proximity to services, aesthetics) exhibited an inconsistent association. Land-use mix diversity was positively associated with transport PA and the presence of recreation facilities resulted in an increase in PA during leisure-time. Increased safety from crime at night consistently increased total PA and walking levels. Research exploring the associations between BE attributes and PA behaviors in LMICs appears to be limited and is primarily cross-sectional. Longitudinal research studies with objective measures are needed for inferring well-grounded PA-BE causal relationships and informing the design of evidence-based environmental interventions for increasing PA levels in LMICs.

Informal caregiving and physical activity among 204,315 adults in 38 low- and middle-income countries: A cross-sectional study

Data on the association between informal caregiving and physical activity (PA) levels are scarce, especially from low- and middle-income countries (LMICs). Furthermore, previous research has yielded conflicting results. Thus, we investigated this association in adults from 38 LMICs. Data from the World Health Survey (WHS), a cross-sectional, predominantly nationally representative survey conducted in 2002-2004, were analyzed. PA was assessed by the International Physical Activity Questionnaire and participants were dichotomized into those who do (≥150 min of moderate-to-vigorous PA per week) and do not (<150 min = low PA) comply with the World Health Organization PA recommendations. Those who provided help to a relative or friend (adult or child), because this person has a long-term physical or mental illness or disability, or is getting old and weak in the past year were considered to be informal caregivers. Multivariable logistic regression analysis was conducted to assess the associations. There were 204,315 adults aged ≥18 years from 38 LMICs included in this study [mean (standard deviation) age 38.6 (16.1) years; 50.7% female]. Overall, the prevalence of caregiving and low PA was 19.5% and 29.9%, respectively. After adjustment for potential confounders, caregivers were at a lower risk for low PA compared to non-caregivers (OR = 0.79; 95% CI = 0.72-0.86). Engagement in greater number of caregiving activities was associated with lower odds for low PA dose-dependently. Informal caregiving was associated with higher levels of PA in adults in LMICs. Future studies of longitudinal design are warranted to understand causality and the underlying mechanisms of this association.

Original research Socio-demographic patterning of self-reported physical activity and sitting time in Latin American countries: findings from ELANS

Background

Low levels of physical activity (PA) and prolonged sitting time (ST) increase the risk of non-communicable diseases and mortality, and can be influenced by socio-demographic characteristics. The aim of this study was to use self-report data to characterise socio-demographic patterns of PA and ST in eight Latin American countries.

Methods

Data were obtained from the Latin American Study of Nutrition and Health (ELANS), a household population-based, multi-national, cross-sectional survey (n = 9218, aged 15–65 years), collected from September 2014 to February 2015. Transport and leisure PA and ST were assessed using the International Physical Activity Questionnaire–long version. Overall and country-specific mean and median levels of time spent in transport and leisure PA and ST were compared by sex, age, socioeconomic and education level.

Results

Mean levels of transport and leisure PA were 220.3 min/week (ranging from 177.6 min/week in Venezuela to 275.3 min/week in Costa Rica) and 316.4 min/week (ranging from 272.1 min/week in Peru to 401.4 min/week in Ecuador). Transport and leisure PA were higher (p < 0.005) in men than women with mean differences of 58.0 and 34.0 min/week. The mean and median for transport PA were similar across age groups (15–29 years: mean 215.5 and median 120 min/week; 30–59 years: mean 225.0 and median 120 min/week; ≥60 years: mean 212.0 and median 120 min/week). The median time spent in transport and leisure PA between three strata of socioeconomic and education levels were similar. The prevalence of not meeting PA recommendations were 69.9% (95% CI: 68.9–70.8) for transport and 72.8% (95% CI: 72.0–73.7) for leisure. Men, younger people (15–29 years), individuals with higher socioeconomic and education levels spent significantly (p < 0.001) more time sitting than women, older people (30–59 years and ≥ 60 years) and those in the middle and low socioeconomic and education groups, respectively.

Conclusions

Transport and leisure PA and ST range widely by country, sex, and age group in Latin America. Programs for promoting leisure and transport PA and reducing ST in Latin America should consider these differences by age and gender and between countries.

Trial registration

ClinicalTrials.Gov NCT02226627. Retrospectively registered on August 27, 2014.

Cannabis use and physical activity among 89,777 adolescents aged 12-15 years from 21 low- and middle-income countries

BACKGROUND

Cannabis legalization and use are increasing globally, however, little is known about associations between cannabis use and other health behaviors, such as physical activity (PA). Importantly, the extent to which cannabis use is associated with PA in adolescents is yet to be explored in low- and middle-income countries (LMICs), where there may be unique sociodemographic and environmental characteristics compared with high-income countries. Therefore, this study examined the association between PA and cannabis use among adolescents in 21 LMICs using data from the 2010-2016 Global School-based Student Health Survey.

METHODS

A multivariable logistic regression analysis was performed among a final sample of 89,777 adolescents (49.2% females) aged 12-15 years with a mean (SD) age of 13.7 (0.9) years.

RESULTS

The overall prevalence of past (i.e., in lifetime but not in past 30 days) and current (in past 30 days) cannabis use were 1.0% and 2.9% respectively, while the prevalence of adequate PA in the past week (7 days/week of 60 min of PA) was 16.6%. The prevalence of adequate levels of PA in past and current cannabis use was 7.3% and 6.9%, respectively. Current and past cannabis use (vs. never) were associated with a significant 0.62 (95% CI = 0.41-0.94) and 0.43 (95%CI = 0.30-0.63) times lower odds for achieving adequate levels of PA, respectively.

CONCLUSION

The results underscore the high prevalence of low PA among adolescents in LMICs, and emphasize the need to understand behavioral factors that may affect PA levels, such as cannabis use, when designing interventions to improve health.

Physical Activity Intensity and Biopsychosocial Correlates in Chinese Middle-Aged and Older Adults With Chronic Kidney Disease

BACKGROUND

The study aims to characterize physical activity (PA) participation by intensity and examine the biopsychosocial correlates among middle-aged and older adults with CKD in China.

METHOD

Data are examined from the 2011 China Health and Retirement Longitudinal Study.

RESULTS

The percentages of participation in vigorous, moderate, and light activity among participants with CKD were 22.7%, 42.1%, and 76.3%, respectively. Participants were less likely to engage in vigorous and moderate PA if they were 70 years of age or older, not married/partnered, unemployed, lived in urban areas, had advanced disease stage, had heart disease, and/or experienced mobility limitations. The magnitude of associations between biophysical factors and PA participation was small for light PA.

CONCLUSION

The higher the intensity of regular PA, the less likely older adults with CKD were to participate; Practitioners could consider the psychosocial characteristics of the older adults with CKD and facilitate their participation in PA.

Physical activity and loneliness among adults aged 50 years or older in six low- and middle-income countries

INTRODUCTION

Loneliness is widespread and associated with deleterious outcomes in middle-aged and older age people in low- and middle-income countries (LMICs). Physical activity is one potential psychosocial strategy with the potential to reduce loneliness in this population. Thus, the aim of this study was to explore associations between physical activity (PA) and loneliness in middle-aged and older people from six LMICs.

MATERIALS AND METHODS

Data from the Study on Global Ageing and Adult Health (SAGE) were analyzed. Self-reported data on loneliness and PA (as assessed by the Global Physical Activity Questionnaire) were collected. Participants were dichotomized into those who do and do not meet the international recommendation of 150 minutes of moderate to vigorous PA per week. Associations between loneliness and PA were examined using logistic regressions.

RESULTS

Among 34 129 individuals aged 50 years or older, the prevalence of loneliness was higher among those not meeting the PA guidelines in all countries, although this difference was not significant in Mexico and South Africa. After full adjustment, not meeting PA guidelines was positively associated with loneliness in the meta-analysis based on country-wise estimates, with a moderate level of between-country heterogeneity being observed (OR = 1.31; 95% CI, 1.07-1.61; I2 = 48.7%). At an individual country level, statistical significance was only reached in Ghana (OR = 1.89; 95% CI = 1.44-2.49).

DISCUSSION

Our data suggest that physical inactivity and loneliness commonly co-occur in adults aged 50 years or older in LMICs overall but that this association differs by country. Longitudinal studies are required to confirm these findings and investigate potential mechanisms that may inform future interventions.

BRICS nations and the opportunities for community physical activity interventions

•Rapid urbanization and its environmental impact have led to challenges to health and well-being of residents in BRICS nations.•Physical activity should be a priority public health target for primary and secondary prevention because of the high prevalence of chronic diseases and cardiometabolic risk factors in BRICS nations.•BRICS nations can harness scientific evidence prospectively to promote environmental and policy supports for physical activity.•Physical activity interventions engaging the members of the community and that are culturally relevant are more likely to be effective.

Relationship between total physical activity and physical activity domains with body composition and energy expenditure among Brazilian adults

OBJECTIVE

The aim of this study was to evaluate the relationship of total physical activity (PA) and its different domains with sex, weight, body mass index, body composition, and resting energy expenditure (REE) among Brazilian adults. The secondary aim was to assess if the Baecke Habitual Physical Activity Questionnaire (BHPAQ) could be used to screen fat mass excess.

METHODS

Three hundred and sixty-six volunteers participated. PA was assessed with the BHPAQ, body composition with multifrequency bioelectrical impedance spectroscopy, and REE with indirect calorimetry.

RESULTS

Total PA and sports/exercise PA were lower in women than men. The participants most active for sports/exercise and leisure-time/locomotion PA domains had higher fat free mass and phase angle, and lower fat mass and weight than the least active subjects. The occupational PA domain was associated with higher fat mass and weight. REE was associated only with the exercise/sports PA domain. The BHPAQ could discriminate subjects with excess body fat with a 9.375 cutoff point for total PA.

CONCLUSION

Exercise/sports and leisure-time/locomotion are PA domains associated with a better body composition. A gender gap still exists in PA, as women are less active than men. The BHPAQ could screen subjects with excess fat mass.

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)

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.

Correlates of physical activity and sedentary behaviour in the Thai population: a systematic review

BACKGROUND

Given the importance of knowing the potential impediments and enablers for physical activity (PA) and sedentary behaviour (SB) in a specific population, the aim of this study was to systematically review and summarise evidence on individual, social, environmental, and policy correlates of PA and SB in the Thai population.

METHODS

A systematic review of articles written in Thai and English was conducted. Studies that reported at least one correlate for PA and/or SB in a healthy Thai population were selected independently by two authors. Data on 21 variables were extracted. The methodological quality of the included studies was assessed using the Newcastle-Ottawa Scale.

RESULTS

A total of 25,007 records were screened and 167 studies were included. The studies reported associations with PA for a total of 261 variables, mostly for adults and older adults. For most of the variables, evidence was available from a limited number of studies. Consistent evidence was found for individual-level and social correlates of PA in children/adolescents and adults and for individual-level correlates of PA in older adults. Self-efficacy and perceived barriers were consistently associated with PA in all age groups. Other consistently identified individual-level correlates in adults and older adults included self-rated general health, mental health, perceived benefits, and attitudes towards PA. Consistent evidence was also found for social correlates of PA in adults, including social support, interpersonal influences, parent/family influences, and information support. The influence of friendship/companionship was identified as a correlate of PA only in children/adolescents. A limited number of studies examined SB correlates, especially in older adults. The studies reported associations with SB for a total of 41 variables. Consistent evidence of association with SB was only found for obesity in adults. Some evidence suggests that male adults engage more in SB than females.

CONCLUSIONS

More Thai studies are needed on (i) PA correlates, particularly among children/adolescents, and that focus on environment- and policy-related factors and (ii) SB correlates, particularly among older adults. Researchers are also encouraged to conduct longitudinal studies to provide evidence on prospective and causal relationships, and subject to feasibility, use device-based measures of PA and SB.

Associations between handgrip strength and mild cognitive impairment in middle-aged and older adults in six low- and middle-income countries

OBJECTIVES

A number of small-scale, single-country studies have suggested that muscular weakness may be a biomarker for cognitive health, mild cognitive impairment (MCI), and dementia. However, multinational, representative studies are lacking, particularly from low- and middle-income countries (LMICs). Thus, we assessed the association between muscular strength (measured by maximal handgrip) and MCI in six LMICs (China, Ghana, India, Mexico, Russia, and South Africa), using nationally representative data.

METHODS

Cross-sectional, community-based data on individuals aged 50 years or older from the World Health Organization's Study on Global Ageing and Adult Health were analyzed. MCI was defined according to the National Institute on Aging-Alzheimer's Association criteria. Weak handgrip strength was defined as less than 30 kg for men and less than 20 kg for women using the average value of two handgrip measurements of the dominant hand. Multivariable logistic regression analysis was conducted to assess the association between muscular strength and MCI.

RESULTS

A total of 32 715 participants were included (mean age 62 ± SD 15.6 y and 51.7% female). The prevalence of MCI and weak handgrip strength was 15.3% (95% CI, 14.4%-16.3%) and 46.5% (95% CI, 43.6%-49.5%), respectively. After adjustment for potential confounders, weak handgrip strength was associated with 1.41 (95% CI, 1.23-1.61) times higher odds for MCI. The corresponding figures for those aged 50 to 64 years and 65 years or older were 1.35 (95% CI, 1.14-1.60) and 1.54 (95% CI, 1.27-1.86), respectively.

CONCLUSIONS

Muscular weakness may provide a clinically useful indicator of MCI risk. Increasing our understanding of the connection between muscular and cognitive function could ultimately lead to the development and broader implementation of resistance training interventions targeting both physical and cognitive health.

Associations of the Built Environment With Physical Activity and Sedentary Time in Ugandan Outpatients With Mental Health Problems

BACKGROUND

This study investigated whether reported neighborhood variables explained variance in time spent walking, exercising, and being sedentary, in addition to mental health and demographic variables among Ugandan outpatients with mental illness.

METHODS

Ninety-nine outpatients (78 men; 31.1 [8.6] y) of the Butabika National Referral Hospital in Uganda completed the Neighborhood Environment Walkability Scale for Africa, the Simple Physical Activity Questionnaire, and the Brief Symptoms Inventory-18. Multiple regression analyses were performed.

RESULTS

Seven percent of the variance in walking time was explained by the variance in anxiety/depression and an additional 13% by the variance in perceived mixed land use and the availability of roads and walking paths. Eight percent of the variance in exercise time was explained by variance in age and an additional 6% by the variance anxiety/depression. The availability of recreational space added 8%. Six percent of variance in time spent sedentary was explained by family income, while availability of roads and walking paths added another 6%.

CONCLUSIONS

This study shows the relevance of availability of roads and walking paths and recreational space for more physical activity and less sedentary behavior in people with mental illness. This is particularly relevant in low-income countries where a rapid urbanization is taking place.

Global physical activity levels - Need for intervention

Substantial evidence shows that physical inactivity (PI) and sedentary behavior (SB) increases the risk of many chronic diseases and shortens life expectancy. We describe evidence that certain domains of physical activity (PA) in the United States (US) population have declined substantially over 5 decades. The prevalence of PI is very high worldwide, which has contributed to 6%-10% of the burden of many chronic diseases and premature mortality. Reduction or elimination of PI would likely produce substantial increases in life expectancy of the world's population. Great efforts are needed to reduce PI and SB and increase levels of PA in the US and worldwide.

Changes in the configuration and patterns of physical activity among Mongolian adults, 2005-2013

Objective: This study examined the change in physical activity status and patterns and their associations with urban and rural residence and employment status in Mongolia.

Methods: We analyzed data from 7,738 adults aged from 20 to 64 years (n = 2,877 and 4,861 for 2005 and 2013, respectively) from the Mongolian STEPS Survey on the Prevalence of Non-Communicable Disease Risk Factors (NCD-STEPS survey). Physical activity in three domains, including work (occupational and household work); transport (walk or cycling); and leisure (sport or fitness) was measured by Global Physical Activity Questionnaire (GPAQ). Physical activity levels were classified into three groups: low, moderate, and high according to the GPAQ analysis framework. The associations between physical activity time, residential area, and employment status were examined using a multivariate negative binomial regression model.

Results: The percentage of respondents with low-level physical activity increased from 10.9% in 2005 to 27.2% in 2013. The median minutes of physical activity time per week were 1,020 in 2005 and 600 in 2013. Physical activity time at work, transport and overall decreased in 2013. Work-related physical activity was the most dominant component of physical activity time (55.6% in 2005 and 54.6% in 2013), the transport domain was the second-highest contributor of physical activity time in 2005 (24.0%) and was replaced by the leisure domain (26.8%) in 2013. Rural residents practiced more physical activity at work, transport, and leisure than urban residents did in 2005 (prevalence ratio [PR]: 1.33, 95% confidence interval [CI]: 1.20–1.47; PR: 1.21, 95%CI: 1.14–1.29; and PR: 1.21, 95%CI: 1.13–1.30, respectively), but there was no significant difference by residential area in 2013. Mongolian adults with higher educational attainment, employee status, and non-employment status were less likely to engage in physical activity compared to those among adults with lower educational attainment and self-employed status.

Diet and Physical Activity as Determinants of Lifestyle Chosen by Women from Southern Poland

The aim of the study was to assess the relationship between the lifestyle of Polish women (characterized by the quality of diets and levels of reported physical activity) and their characteristics such as age, place of residence, physical activity at work or school, reported health status, and BMI. The sample consisted of 882 women from Southern Poland. Diet quality and the level of physical activity were evaluated by the Nutrition Beliefs Questionnaire established by the Polish Academy of Sciences. The lifestyle category (healthy, moderate, or unhealthy) was based on "Prohealthy Diet Index-10" and participant's self-assessed physical activity during their leisure-time. The lifestyle category was significantly associated with age, BMI, physical activity at work/school, and health. Moderate lifestyle (high or moderate levels of physical activity combined with low prohealthy diet) was the most commonly found classification in examined women. Age (>35 years old) and overweight are the main factors determining unhealthy lifestyle behavior. Healthy lifestyle is more often chosen by the women from big cities. More intensive efforts should be undertaken to increase the knowledge and awareness of the health benefits of a healthy lifestyle. The main goal should be concentrated on increasing the level of physical activity, especially in leisure time, and promoting the tenets of a well-balanced diet.

Physical activity measured with wrist and ankle accelerometers: Age, gender, and BMI effects

Physical activity (PA) is associated with various aspects of physical and mental health and varies by age and BMI. We aimed to compare PA measures obtained with wrist and ankle accelerometers and characterize their associations with age and BMI. We assessed PA mean and PA variability (indexed by coefficient of variation (CV)) at daytime and nighttime periods for seven consecutive days (M = 152.90 h) in 47 healthy participants (18–73 years old, 21 females). Diurnally, mean PA for both ankle and wrist and CV of PA for ankle decreased from the first to the second half of daytime (p < 0.05). There were no differences in mean PA between wrist and ankle at any time-period (p > 0.2). CV of ankle PA at daytime was significantly higher than wrist PA (p < .0001). The opposite pattern was observed at nighttime (p < .0001). Pearson correlation analyses were performed to assess the associations between wrist (or ankle) PA and age and BMI. Mean daytime (but not nighttime) activity for wrist and ankle decreased significantly with age (p < .05). PA variability also decreased with age for wrist and ankle during daytime and for ankle during nighttime (p < .05). BMI was negatively associated with wrist daytime PA variability (p < .05). There were no gender effects on activity measures. These findings indicate that wrist and ankle mean PA measures were not significantly different but were significantly different (p < 0.5) for PA variability in both daytime and nighttime. Age-related decreases of PA-mean and variability were observed during daytime in wrist and ankle, whereas higher wrist daytime variability was inversely associated with BMI. These findings provide new insights into PA features in free-living environment, which are relevant for public health and may have implications for clinical assessment of neurodegenerative disorders impacting PA and their interaction with demographics.