Work, travel, or leisure: comparing domain-specific physical activity patterns based on rural-urban location in Canada.

BACKGROUND: Physical activity occurs across various domains including leisure/recreation, for transportation, or for work or household reasons. Rural and urban active living environments are characterized by different opportunities for physical activity within each domain which may translate into different patterns of behavior. The aim of this study was to compare rural-urban differences in physical activity across different domains, and explore interactions between sociodemographic factors, physical activity domains, and rurality. METHODS: We used self-reported data collected across three physical activity domains (active transportation, recreation, occupational/household) and relevant sociodemographic variables from the Canadian Community Health Survey. Adjusting for sociodemographic factors, we did two separate cross-sectional analyses: 1) binary logistic regression to determine the odds of reporting any activity in each domain, and 2) ordinary least squares regression using the sub-samples reporting > 0 min per week of activity to compare how much activity was reported in each domain. RESULTS: Our final survey weighted sample of Canadian adults (mean age 47.4 years) was n = 25,669,018 (unweighted n = 47,266). Rural residents were less likely to report any active transportation (OR = 0.59, 95% CI [0.51, 0.67], p < .0001). For recreational physical activity, rural males had lower odds (OR = 0.75, 95% CI [0.67, 0.83], p < .0001) and rural females had higher odds (OR = 1.19, 95% CI [1.08, 1.30], p = .0002) of reporting any participation compared to urban residents. Rural males (OR = 1.90, 95% CI [1.74, 2.07], p < .0001) and females (OR = 1.33, 95% CI [1.21, 1.46], p < .0001) had higher odds of reporting any occupational or household physical activity. CONCLUSIONS: Urban residents tend to participate in more active transportation, while rural residents participate in more occupational or household physical activity. Location-based differences in physical activity are best understood by examining multiple domains and must include appropriate sociodemographic interactions, such as income and sex/gender.

Multilevel correlates of domain-specific physical activity among rural adults - a cross-sectional study.

BACKGROUND: Increasing physical activity (PA) in rural communities is a vital prevention tactic in multiple chronic diseases; however, little is known on the multilevel correlates of PA rural areas. A better understanding of domain-specific PA adds context for promoting PA in rural communities. The current study sought to determine factors associated with domain-specific and overall moderate-vigorous physical activity (MVPA) in rural communities. METHODS: Surveys were conducted across 14 rural mid-Western communities, with the final analytical sample including 1241 adults (ages 19-96, M = 57.0 [SD = 16.7], 67.8% female, 83.8% white). Generalized linear models with negative binomial distributions examined the relation between demographics, trail use, and perceptions of the neighborhood environment, with domain-specific and overall MVPA, measured via the Global Physical Activity Questionnaire. RESULTS: Rural residents reported an average of 617 total minutes of weekly MVPA (SD = 1141), with 58.5% meeting MVPA guidelines. Higher age, female gender, and higher educated individuals had lower levels of overall and occupational MVPA. Females, higher education, and perceived indoor recreational access were associated with lower levels of transportation-related MVPA, while trail use was associated with increased transportation MVPA. Higher age and female gender respondents had lower levels of recreational MVPA, while trail users and those who perceived favorable indoor recreational access had higher levels of recreational MVPA. CONCLUSIONS: PA primarily occurred in the occupational domain among this sample of rural mid-Western adults. Findings highlight the need for multilevel interventions to address PA across multiple domains in rural communities, especially among females and older adults.

Associations between self-reported and objectively measured physical activity and overweight/obesity among adults in Kota Bharu and Penang, Malaysia.

BACKGROUND: For the past decades, Malaysia has seen an increased prevalence of overweight and obesity which leads to significant health threats. Physical activity is beneficial in maintaining healthy body weight. The objective of this study was to measure physical activity of adults in Malaysia using objective measurement (accelerometer) and self-reported methods, as well as to determine their associations with (body mass index (BMI) and waist circumference (WC) measurements. METHODS: Four-hundred and ninety Malaysian adults (n = 490) aged 20 to 65 years old participated in this cross-sectional study. Their body weight, height, and WC measurements were measured according to standard procedures. Physical activity was assessed objectively with accelerometers for five to seven consecutive days. The International Physical Activity Questionnaire (IPAQ) was used to estimate the amount of time spent on various domains of physical activity. Mixed models were used to determine the associations between physical activity variables and both BMI and WC. RESULTS: The mean value of objectively measured moderate-to-vigorous physical activity (MVPA) was 13.5 min per day, in which male participants recorded a significantly higher amount of time compared to females. On the other hand, the mean self-reported total physical activity was 380 min per week; male participants reported a significantly higher amount of time on physical activity in the occupation/work and leisure/recreation domains while female participants spent significantly more time in the domestic/household chores domain. We also observed that the mean values of objectively measured total MVPA, self-reported time spent on walking for leisure/recreation, and total time amount of time spent on MVPA for leisure/recreation were significantly higher among participants with BMI of less than 25 kg/m2. The final statistical model yielded a significant negative association between objectively measured total MVPA and BMI, but not with WC measurement. No significant association was reported between self-reported total physical activity with BMI and WC measurement. CONCLUSIONS: Objectively measured MVPA was inversely associated with BMI, but not WC measurement. No significant association was observed between self-reported total physical activity and physical activity time measures across domains with both BMI and WC measurement.

Children's physical activity during a segmented school week: results from a quasi-experimental education outside the classroom intervention.

BACKGROUND: Movement integration (MI) into traditional classroom teaching is a promising opportunity for children to increase physical activity (PA). Education outside the classroom (EOtC) can be regarded as MI, and has increased children's PA in case studies. The aim of this study is to investigate the effects of EOtC on children's PA by segmenting weekly activity-related behavior into a range of day types and domains. METHODS: In a quasi-experimental design, 33 classes were recruited and participants' PA was objectively measured using accelerometers taped to the lower back. In total, 361 (10.89 ± 1.03 years) participants with 7 days of 24 h wear time per day were included in a day type PA analysis, and 194 of these participants (10.46 ± 0.99 years) provided information on time spent in specific domains (e.g. EOtC or recess) and were included in a domain-specific PA analysis. Differences in proportion of time spent in PA intensities were tested using mixed-effects regression models. RESULTS: More moderate-to-vigorous physical activity (MVPA) occurred on days with physical education (PE) than days with EOtC (girls 0.79%, p = .001, CI = .26% to 1.31%; boys 1.35%, p = .003, CI = .32% to 2.38%), while no difference was found between EOtC days and school days without EOtC and PE. Light physical activity (LPA) was higher on EOtC days than school days without EOtC and PE (girls 2.43% p < .001, CI = 1.21% to 3.65%; boys 2.08%, p < .001, CI = .69% to 3.47%) and PE days (girls 2.18%, p < .001, CI = .80% to 3.56%; boys 2.40%, p < .001, CI = .83% to 3.96%). Comparing EOtC and classroom domains, boys proportionally spent 7.95% (p < .001, CI = 3.00% to 12.90%) more time in MVPA while no difference (p = 1.000) was measured for LPA, and girls had no difference (p = .176) in MVPA, but spent 9.76% (p < .001, CI = 7.12% to 12.41%) more time in LPA. CONCLUSIONS: EOtC was implemented without the provision of additional resources and with positive effects on PA. Findings suggest EOtC as a way to provide children with an additional opportunity to accumulate PA within the existing school setting.

Physical activity domains and patterns with risk of depressive symptoms: A cross-sectional study in China.

BACKGROUND: The health benefits of domain-specific physical activity (PA) on depressive symptoms were inconclusive. Few studies explored PA patterns and depressive symptoms. This study aimed to investigate the associations of PA domains and patterns with depressive symptoms. METHODS: We conducted a cross-sectional study in China with 5047 adults. Latent class analysis was applied to identify the PA patterns and logistic regression analysis was used to calculate odds ratios (ORs) and 95 % confidence intervals (CIs). RESULTS: The ORs (95 % CIs) for the active versus inactive groups were 0.79 (0.69-0.91) for leisure-time PA, 0.57 (0.49-0.65) for transport PA, 0.95 (0.82-1.09) for household PA, and 1.38 (1.18-1.62) for occupational PA. We found non-linear associations between leisure-time PA, transport PA and depressive symptoms, with the lowest risk at 11 METs-h/week of leisure-time PA (equal to 147 min/week moderate PA or 88 min/week vigorous PA) and 23 METs-h/week of transport PA. There was a marginal inverse association with household PA for men while not for women. We identified four PA patterns and found a lower risk of depressive symptoms associated with "low occupational PA pattern" versus "moderate PA level pattern" (0.45 (0.38-0.52)). LIMITATIONS: Given the cross-sectional design, causality cannot be inferred. CONCLUSIONS: Our study supported an inverse association of leisure-time PA and transport PA with depressive symptoms and a positive association of occupational PA. The observed inconsistent association of household PA among men and women, and the finding that "low occupational PA pattern" was associated with a lower risk of depressive symptoms warrant further investigation.

Association of Perceived Neighbourhood Walkability with Self-Reported Physical Activity and Body Mass Index in South African Adolescents.

Adolescence is a life stage critical to the establishment of healthy behaviours, including physical activity (PA). Factors associated with the built environment have been shown to impact PA across the life course. We examined the sociodemographic differences in, and associations between, perceived neighbourhood walkability, PA, and body mass index (BMI) in South African adolescents. We recruited a convenience sample (n = 143; 13-18 years; 65% female) of students from three high schools (middle/high and low-income areas). Participants completed a PA questionnaire and the Neighbourhood Environment Walkability Scale (NEWS)-Africa and anthropometry measurements. Multivariable linear regression was used to examine various relationships. We found that, compared with adolescents living in middle/high income neighbourhoods, those living in low-income neighbourhoods had lower perceived walkability and PA with higher BMI percentiles. The associations between neighbourhood walkability and PA were inconsistent. In the adjusted models, land use diversity and personal safety were associated with club sports participation, street connectivity was positively associated with school sports PA, and more favourable perceived walkability was negatively associated with active transport. Overall, our findings suggest that the perceived walkability of lower income neighbourhoods is worse in comparison with higher income neighbourhoods, though the association with PA and BMI is unclear.

Physical Activity Pattern Characterized by Domains and Dimensions of the Roma Population in Comparison with That of the General Population in Northeast Hungary.

Our study focuses on examining physical activity, as one of the most influential health determinants by domains and dimensions among Roma, the largest vulnerable ethnic minority in Europe. The study was carried out on a sample representative of the Hungarian Roma (HR) population (n = 350) living in segregated colonies in Northeast Hungary in comparison with the Hungarian general (HG) population sample (n = 343) from the same region. Data were collected using the International Physical Activity Questionnaire (IPAQ) long-form and physical activity was quantified as MET-min/week. Scores were calculated for walking, moderate and vigorous-intensity activities for each domain (work, transport, domestic and gardening, leisure) and as an overall total. The HR population­similarly to the HG­is characterized by moderate or high physical activity; however, this level is achieved by work and housework/gardening instead of leisure time activities, which is worryingly low among HR females, but its prevalence is significantly (p < 0.001) lower in both sexes than among the HG population in the vigorous activity category. HR men move (walk and cycle) significantly more during transport than HG men. Our results may direct the attention of decision-makers to improve the health of Roma by increasing leisure-time physical activity.

Prevalence of Total and Domain-Specific Physical Activity and Associated Factors Among Nepalese Adults: A Quantile Regression Analysis.

AIM: To analyze the data from the World Health Organization Nepal STEPS survey 2013 to determine the prevalence of total and domain-specific physical activity (PA) and associated factors among Nepalese adults. METHODS: A multistage cluster sampling technique was used to proportionately select participants from the 3 ecological zones (Mountain, Hill, and Terai) in Nepal. The Global PA Questionnaire was used to assess PA. The data were analyzed using quantile and ordinary least square regression. RESULTS: Only 4% of the adults did not meet the World Health Organization PA guidelines. Age had a negative monotonic association with total PA and occupational PA, with the highest difference at the upper tails of the PA distribution. Lower total PA and occupational PA were associated with secondary or higher education, being retired or in unpaid employment, living in Terai or urban areas, and nonsmoking. Age, higher education, unpaid employment, and Terai or urban residence were negatively associated, while being currently married was positively associated with transport-related PA. CONCLUSION: Increasing age, higher education, unpaid employment, unemployment or retirement, and urban residence were associated with lower PA, with the stronger association at the upper tails of the distribution. The correlates had dissimilar associations across the quantiles of PA distribution.

Adolescent and Young Adult Recreational, Occupational, and Transportation Activity: Activity Recommendation and Weight Status Relationships.

PURPOSE: Physical activity can occur in many settings, or domains, including recreation, occupation, and transportation. We described patterns of adolescent and young adult (YA) activity in each domain, and the extent that accounting for different domains impacts activity recommendation adherence. We also examined activity domain associations with weight status. METHODS: We examined physical activity among 11,157 adolescents and YAs in recreational, occupational, and transportation domains in the 2007-2016 National Health and Nutrition Examination Survey. We calculated proportions meeting weekly activity recommendations (adolescents: 420 minutes; YAs: 150 minutes) by domain. We compared adjusted odds of performing any activity in each domain by weight status. All estimates are weighted and stratified by age (adolescents: 12-19 years; YAs: 20-29 years) and sex. RESULTS: Most adolescents (90.9%) and YAs (86.7%) reported activity in at least one domain. Recreational activity accounted for an average of 60.2% (adolescents) and 42.5% (YAs) of an individual's total activity. Approximately half of YAs (50.2%) reported any occupational activity, which accounted for 44.6% (males) and 37.4% (females) of total activity minutes. Transportation accounted for 18.1% (adolescents) and 16.2% (YAs) of total activity. Activity recommendation adherence estimates increased when adding domains: recreation alone (34.9% adolescents, 45.6% YAs); recreation and occupation (47.2% adolescents, 68.7% YAs); and recreation, occupation, and transportation (53.5% adolescents, 74.7% YAs). Weight status was generally not associated with activity domains. CONCLUSIONS: Adolescents and YAs accumulate substantial occupational and some transportation-related physical activity, resulting in more youth meeting activity recommendations when accounting for these activity domains than recreation alone.