Occupational and non-occupational physical activity and the social determinants of physical activity : results from the Health Survey for England

Background: This article aims to examine the relative contribution of occupational activity to English adults’ meeting of government recommendations for physical activity (PA).

Methods: Data were extracted from a cross-sectional survey of householders in the UK via the Health Survey for England.¹ In total, 14,018 adult participants were included in the analysis. Multivariate logistic regression was used to examine the odds of achieving PA recommendations with and without including occupational activity and to examine the contribution of gender and social and demographic characteristics.

Results: When occupational PA was included, 36% of men and 25% of women were active at the recommended level. Once occupational PA was removed, these proportions were 23% and 19%, respectively. These results were socially patterned, most notably by age and gender.

Conclusions: Occupational PA provides a substantial contribution to those meeting the government target for PA.

Individual, social and environmental correlates of physical activity among women living in socioeconomically disadvantaged neighbourhoods

Women living in socioeconomically disadvantaged neighbourhoods are at heightened risk for physical inactivity, but little is known about the correlates of physical activity among this group. Using a social-ecological framework, this study aimed to determine the individual, social and neighbourhood environmental correlates of physical activity amongst women living in such neighbourhoods. During 2007–2008 women (n = 4108) aged 18–45 years randomly selected from urban and rural neighbourhoods of low socioeconomic status in Victoria, Australia completed the International Physical Activity Questionnaire (long). They reported on individual (self-efficacy, enjoyment, intentions, outcome expectancies, skills), social (childcare, social support from family and friends/colleagues, dog ownership) and neighbourhood environmental (neighbourhood cohesion, aesthetics, personal safety, ‘walking environment’) factors. Multinomial logistic regression was used to examine the odds of increasing categories of leisure time physical activity (LTPA) and transport-related physical activity (TRPA) for each individual, social and environmental factor. In partially adjusted analyses, all individual, social and environmental variables were positively associated with LTPA, while all individual factors, family and friend support and the walking environment were positively associated with TRPA. In fully adjusted multivariable models, all individual and social factors remained significantly associated with LTPA, while self-efficacy, enjoyment, intentions, social support, and neighbourhood ‘walking environment’ variables remained significantly associated with TRPA. In conclusion, individual and social factors were most important for LTPA, while individual, social and neighbourhood environmental factors were all associated with TRPA. Acknowledging the cross-sectional design, the findings highlight the importance of different levels of potential influence on physical activity in different domains, which should be considered when developing strategies to promote physical activity amongst women living in socioeconomically disadvantaged neighbourhoods.

Love thy neighbour? Associations of social capital and crime with physical activity amongst women

Using a multilevel study design, this study examined the associations between social characteristics of individuals and neighbourhoods and physical activity among women. Women (n = 1405) recruited from 45 Melbourne (Australia) neighbourhoods of varying socioeconomic disadvantage provided data on social factors and leisure-time: physical activity; walking; and walking in one’s own neighbourhood. Individual level social factors were number of neighbours known and social participation. Neighbourhood-level social characteristics (interpersonal trust, norms of reciprocity, social cohesion) were derived by aggregating survey data on these constructs within neighbourhoods. Objective data on crimes within neighbourhoods were obtained from Victoria Police. In bivariable regression models, all social variables at both the individual and neighbourhood level were positively associated with odds of physical activity, walking, and walking in one’s own neighbourhood. Associations with individual social participation (associated with all three physical activity variables) and neighbourhood interpersonal trust (associated with overall physical activity only) remained significant in multivariable models. Neither neighbourhood crime against the person nor incivilities were associated with any form of physical activity. These results demonstrate that women who participated in local groups or events and, less consistently, women living in neighbourhoods where residents trusted one another, were more likely to participate in leisure-time physical activity. While redressing macro-level social and economic policies that contribute to neighbourhood inequalities remains a priority, public health initiatives aimed at promoting physical activity could consider focusing on fostering social interactions targeting both individuals and communities. Further investigation of causal mechanisms underlying these associations is required.

Is healthy behavior contagious : associations of social norms with physical activity and healthy eating

Background
Social norms are theoretically hypothesized to influence health-related behaviors such as physical activity and eating behaviors. However, empirical evidence relating social norms to these behaviors, independently of other more commonly-investigated social constructs such as social support, is scarce and findings equivocal, perhaps due to limitations in the ways in which social norms have been conceptualized and assessed. This study investigated associations between clearly-defined social norms and a range of physical activity and eating behaviors amongst women, adjusting for the effects of social support.

Methods
Self-report survey data about particular physical activity (leisure-time moderate-vigorous activity; volitional walking; cycling for transport) and eating behaviors (fast food, soft drink and fruit and vegetable consumption), and social norms and support for these, were provided by 3,610 women aged 18-46 years living in socioeconomically disadvantaged neighborhoods in Victoria, Australia.

Results
Results of regression analyses showed that social norms for physical activity and eating behaviors predicted these respective behaviors relatively consistently; these associations generally remained significant after adjustment for social support.

Conclusions
Acknowledging the cross-sectional study design, these data confirm theoretical accounts of the importance of social norms for physical activity and eating behaviors, and suggest that this is independent from social support. Intervention strategies aimed at promoting physical activity and healthy eating could incorporate strategies aimed at modifying social norms relating to these behaviors.

Social ideological influences on food consumption, physical activity and BMI

We investigated relationships between ideological beliefs (i.e., diaphanous body image and environmental concerns), food attitudes, evening meal patterns, physical activity, and Body Mass Index (BMI). A behavioural model was hypothesized based on the Theory of Reasoned Action. A survey was conducted among shoppers aged 40–70 years at Eastland Shopping Centre, Melbourne, Australia. The hypothesized model was tested among female baby boomers (n = 547) for younger (n = 245) and older (n = 302) age groups using structural equation modeling. Findings showed that diaphanous body image had a direct and positive influence on negative food attitudes, which is likely to lead to higher BMI for both age groups. Body image beliefs were positively related to physical activity only for women aged 56–70 years. In contrast, among women aged 40–55 years, strong pro-environmental concerns suggested less consumption of both healthy (e.g., fruit and vegetables) and unhealthy (e.g., sugar and fats) foods. Moreover, strong pro-animal concerns resulted in higher BMI for the younger women. As expected, increased physical activity negatively influenced BMI. Importantly, the associations between ideological beliefs, attitudes, evening meal patterns, and BMI differed between younger and older female baby boomers.

A cross-sectional study of the individual, social, and built environmental correlates of pedometer based physical activity among elementary school children

Background: Children who participate in regular physical activity obtain health benefits. Preliminary pedometerbased cut-points representing sufficient levels of physical activity among youth have been established; however limited evidence regarding correlates of achieving these cut-points exists. The purpose of this study was to identify correlates of pedometer-based cut-points among elementary school-aged children.
Method: A cross-section of children in grades 5-7 (10-12 years of age) were randomly selected from the most (n = 13) and least (n = 12) ‘walkable’ public elementary schools (Perth, Western Australia), stratified by socioeconomic status. Children (n = 1480; response rate = 56.6%) and parents (n = 1332; response rate = 88.8%) completed a survey, and steps were collected from children using pedometers. Pedometer data were categorized to reflect the sex-specific pedometer-based cut-points of ≥15000 steps/day for boys and ≥12000 steps/day for girls. Associations between socio-demographic characteristics, sedentary and active leisure-time behavior, independent mobility, active transportation and built environmental variables - collected from the child and parent surveys - and meeting pedometer-based cut-points were estimated (odds ratios: OR) using generalized estimating equations.
Results: Overall 927 children participated in all components of the study and provided complete data. On average, children took 11407 ± 3136 steps/day (boys: 12270 ± 3350 vs. girls: 10681 ± 2745 steps/day; p < 0.001) and 25.9% (boys: 19.1 vs. girls: 31.6%; p < 0.001) achieved the pedometer-based cut-points. After adjusting for all other variables and school clustering, meeting the pedometer-based cut-points was negatively associated (p < 0.05) with being male (OR = 0.42), parent self-reported number of different destinations in the neighborhood (OR 0.93), and a friend’s (OR 0.62) or relative’s (OR 0.44, boys only) house being at least a 10-minute walk from home. Achieving the pedometer-based cut-points was positively associated with participating in screen-time < 2 hours/day (OR 1.88), not being driven to school (OR 1.48), attending a school located in a high SES neighborhood (OR 1.33), the average number of steps among children within the respondent’s grade (for each 500 step/day increase: OR 1.29), and living further than a 10-minute walk from a relative’s house (OR 1.69, girls only).
Conclusions: Comprehensive multi-level interventions that reduce screen-time, encourage active travel to/from school and foster a physically active classroom culture might encourage more physical activity among children.

Individual, social, and physical environmental correlates of physical activity among young women at risk of depression

Background : A number of factors have been identified as important correlates of physical activity (PA) among young women. Young women at risk of depression have a greater likelihood of being physically inactive and it is unknown whether correlates differ for women at risk and not at risk of depression.

Methods : A sample of 451 women aged 18-35 years self-reported leisure-time PA, enjoyment of and self-efficacy for walking and vigorous PA, barriers, social support, access to sporting/leisure facilities and access to sporting equipment in the home. Depression risk was assessed using the General Health Questionnaire (cut point ≥5). Logistic regression analyses examined differences in PA correlates among women at risk and not at risk of depression.

Results : Self-efficacy for vigorous PA was statistically different between groups in predicting odds for meeting PA recommendations but odds ratios were similar across groups. No other significant interactions between correlates and depressive symptoms were identified.

Conclusions : The findings suggest few differences in the individual, social and physical environmental correlates of PA among young women who are and are not at risk of depression. Further research is needed to confirm the existence of any PA correlates specific to this high-risk target group.

Are children's perceptions of neighbourhood social environments associated with their walking and physical activity?

This study aimed to examine cross-sectional associations between neighbourhood social environmental factors and physical activity (PA) among Australian primary school children. Baseline data from a large-scale trial among 957 children (48% boys) aged 9–12 years were utilised. Children self-reported their perceptions of the neighbourhood social environment including social networks (e.g. there are lots of other children around to play with), and social capital (e.g. there are lots of people in my area I could go to if I need help). Children also self-reported their weekly walking frequency and PA from which average daily moderate to vigorous PA (MVPA) was calculated. Linear regression analyses examined these associations. Boys performed 17 min/day more MVPA than girls (p < 0.01), and girls performed one extra trip/week than boys (p < 0.001). Children’s perceptions of social capital (p < 0.0001) and social networks (p < 0.01) were both positively associated with MVPA and social capital was positively associated with walking frequency (p < 0.05). These associations were not moderated by the child’s sex. These findings suggest that children who had positive perceptions of neighbourhood social capital and social networks in the neighbourhood, tended to be more physically active. Longitudinal and experimental studies are required to further test the influence of these factors among children.

Increasing children’s physical activity : individual, social, and environmental factors associated with walking to and from school

Background. Efforts to increase the prevalence of children’s active school transport require evidence to inform the development of comprehensive interventions. This study used a multilevel ecological framework to investigate individual, social, and environmental factors associated with walking to and from school among elementary school-aged children, stratified by gender.
Method. Boys aged 10 to 13 years (n = 617) and girls aged 9 to 13 years (n = 681) attending 25 Australian primary schools located in high or low walkable neighborhoods completed a 1-week travel diary and a parent/child questionnaire on travel habits and attitudes.
Results. Boys were more likely (odds ratio [OR] = 3.37; p < .05) to walk if their school neighborhood had high connectivity and low traffic and less likely to walk if they had to cross a busy road (OR = 0.49; p < .05). For girls, confidence in their ability to walk to or from school without an adult (OR = 2.03), school encouragement (OR = 2.43), scheduling commitments (OR = 0.41), and parent-perceived convenience of driving (OR = 0.24) were significantly associated (p < .05) with walking. Irrespective of gender and proximity to school, child-perceived convenience of walking (boys OR = 2.17 and girls OR = 1.84) and preference to walk to school (child perceived, boys OR = 5.57, girls OR = 1.84 and parent perceived, boys OR = 2.82, girls OR = 1.90) were consistently associated (p < .05) with walking to and from school.
Conclusion. Although there are gender differences in factors influencing children walking to and from school, proximity to school, the safety of the route, and family time constraints are consistent correlates. These need to be addressed if more children are to be encouraged to walk to and from school.

Do the individual, social, and environmental correlates of physical activity differ between urban and rural women?

In this article, associations between individual, social, and environmental factors and physical activity among 3,669 women (18-45 years) living in socioeconomically disadvantaged urban and rural areas were compared. In 2007-2008, participants reported levels of leisure-time physical activity (LTPA) and transport-related physical activity (TRPA) as well as five individual, four social, and three environmental factors. Physical activity self- efficacy demonstrated stronger associations with LTPA among urban relative to rural women; child care was associated with LTPA and intentions with TRPA among urban women only, and enjoyment was associated with TRPA among rural women only. Correlates of physical activity among urban and rural women were generally similar, although some tailoring of physical activity promotion strategies may be warranted.

An observational assessment of physical activity levels and social behaviour during elementary school recess

Objective: The purpose of the present study was to assess children’s physical activity, social play behaviour, activity type and social interactions during elementary school recess using a pre-validated systematic observation system.

Design: Cross-sectional.

Setting: Two elementary schools located in Merseyside, England.

Method: Fifty-six elementary school children (27 boys, 29 girls) were systematically observed during recess over a three-month period using a standardized physical activity observation instrument.

Results: The results revealed the boys were engaged in significantly higher levels of physical activity during recess than girls. The boys were also involved in more sport-specific activities and participated in larger group sizes. Positive associations between physical activity and availability of equipment during recess were also reported.

Conclusion: This study has confirmed recess as a valuable opportunity for elementary school children to increase their levels of physical activity. However, further studies with larger sample sizes need to identify and explore the relationship between physical activity (PA) and availability of equipment.