Correlates of physical activity: why are some people physically active and others not?

Bauman, Adrian; Reis, Rodrigo Siqueira; Sallis, James F.; Wells, Jonathan C. K.; Loos, Ruth J.F.; Martin, Brian W.

doi:10.1016/s0140-6736(12)60735-1

Cited by 3,345 publications

(3,726 citation statements)

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“…We find that activity decreased with increasing age 1, 8, 31, 32 and BMI 8, 15, 32 , and is lower in females than in males 1, 8, 31–33 , which is consistent with previous reports (Extended Data Fig. 1).…”

Section: Methodssupporting

confidence: 93%

“…, public transportation density) factors are related to activity levels, evidence about how these factors interact ( e.g. , the influence of environmental factors on older adults or obese individuals) is more limited 8 . Understanding these interactions is important for developing public policy 9, 10 , planning cities 11 , and designing behavior change interventions 12, 13 .…”

mentioning

confidence: 99%

“…We investigated the walkability of a city as a modifiable extrinsic factor that could increase activity levels 8 and reduce activity inequality and the gender activity gap. Based on data from 69 United States cities (Supplementary Table 2), we find that higher walkability scores are associated with lower activity inequality (Fig.…”

mentioning

confidence: 99%

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Large-scale physical activity data reveal worldwide activity inequality

Althoff

Sosič

Hicks

et al. 2017

Nature

786

556

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Understanding the basic principles that govern physical activity is needed to curb the global pandemic of physical inactivity1–7 and the 5.3 million deaths per year associated with in-activity2. Our knowledge, however, remains limited owing to the lack of large-scale measurements of physical activity patterns across free-living populations worldwide1, 6. Here, we leverage the wide usage of smartphones with built-in accelerometry to measure physical activity at planetary scale. We study a dataset consisting of 68 million days of physical activity for 717,527 people, giving us a window into activity in 111 countries across the globe. We find inequality in how activity is distributed within countries and that this inequality is a better predictor of obesity prevalence in the population than average activity volume. Reduced activity in females contributes to a large portion of the observed activity inequality. Aspects of the built environment, such as the walkability of a city, were associated with less gender gap in activity and activity inequality. In more walkable cities, activity is greater throughout the day and throughout the week, across age, gender, and body mass index (BMI) groups, with the greatest increases in activity for females. Our findings have implications for global public health policy and urban planning and highlight the role of activity inequality and the built environment for improving physical activity and health.

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Section: Methodssupporting

confidence: 93%

mentioning

confidence: 99%

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Large-scale physical activity data reveal worldwide activity inequality

Althoff

Sosič

Hicks

et al. 2017

Nature

786

556

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“…The correlates of physical activity can be understood through an 'ecological' model, underpinned by a systematic review of the evidence. In this model up to 36 individual, interpersonal, environmental, regional/national and global factors are associated with differences in behaviours (Bauman et al, 2012). As far as the relationships between adult physical activity and individual characteristics are concerned, the literature suggests that ageing, being overweight, a greater perceived effort required for exercise, and occupational characteristics such as working are negatively associated with physical activity.…”

Section: Introductionmentioning

confidence: 99%

‘No man is an island entire of itself.’ The hidden effect of peers on physical activity

Downward

Rasciute

2016

Social Science & Medicine

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“…There are no studies in literature of which results found significant differences among adolescents 13. Adults with higher educational level are more likely to be active26 and their behavior and attitude have a strong influence on their children's habits 27. Based on this evidence, we emphasize the importance of including questions related to parental behavior when investigating PA-related behavior in adolescents, as they can lead to further explanations of this phenomenon 28…”

Section: Discussionmentioning

confidence: 89%

Behavior change stages related to physical activity in adolescents from Santa Catarina: prevalence and associated factors

Silva

Lopes

et al. 2016

Revista Paulista de Pediatria (English Edition)

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Objective:Verify the prevalence and sociodemographic and economic factors associated with behavior change stages for habitual physical activity practice in adolescents from Santa Catarina.Methods:Secondary analysis of a study on the Behavior of Adolescents from Santa Catarina (CompAC 2). Cross-sectional school-based study of 6,529 high-school students (males, n=2,903) from the state of Santa Catarina public education system in 2011, aged 15 to 19 years. Multinomial logistic regression (crude and adjusted) was used to measure the association.Results:The highest and lowest prevalence rates were found in the maintenance (43.9%) and precontemplation stages (7.0%), respectively. The stages of action, preparation and contemplation showed similar results: 16.2%; 17.0% and 15.6%; respectively. Male adolescents show higher prevalence in the maintenance stage in relation to females and these show a higher prevalence in preparation, contemplation and precontemplation. All the assessed variables (gender, age, area of residence, employment status, family income, maternal education and school grade), with the exception of school shift, were associated with at least one of the stages.Conclusions:A large proportion of adolescents are in the pre-adoption stages and most of these have the intention to start regular physical activity. With the exception of school shift, the assessed variables were associated with stages in different ways, showing different profiles in relation to sociodemographic and economic characteristics in each subgroup.

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Correlates of physical activity: why are some people physically active and others not?

Cited by 3,345 publications

References 100 publications

Large-scale physical activity data reveal worldwide activity inequality

Large-scale physical activity data reveal worldwide activity inequality

‘No man is an island entire of itself.’ The hidden effect of peers on physical activity

Behavior change stages related to physical activity in adolescents from Santa Catarina: prevalence and associated factors

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