The social patterning of exercise behaviours: the role of personal and local resources

Macintyre, Sally

doi:10.1136/bjsm.34.1.6

Cited by 66 publications

(47 citation statements)

References 7 publications

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“…8 In our study, the low-income neighborhoods had significantly greater population density and land-use diversity than the high-income neighborhoods. Research shows that in some countries, population density puts "eyes on the streets" to protect residents who engage in physical activity in the neighborhoods.…”

Section: Discussionmentioning

confidence: 50%

“…6,7 This hypothesis, which has been referred to as "deprivation amplification," states that in places where people have fewer personal resources, the local facilities that enable people to lead healthy lives are poorer than they are in nonimpoverished and nonsocially deprived areas. 8 That is, neighborhoods of low socioeconomic status provide fewer resources for physical activity such as parks, sports facilities, and walking/biking trails than do neighborhoods of medium and high socioeconomic status. [9][10][11][12] Although a study found no differences in the distribution of parks among income areas, low-income areas were 4.5 times more likely to have no physical activity facilities than high-income areas.…”

Section: Introductionmentioning

confidence: 99%

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Environmental Audits of Friendliness toward Physical Activity in Three Income Levels

Taylor¹,

Franzini²,

Olvera³

et al. 2012

J Urban Health

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An important research area is the relationship among income status, health, and the environment. This study examined the relationships among income levels, features of the environment and friendliness toward physical activity. We investigated whether low-, middle-, and high-income neighborhoods differ in terms of four environmental characteristics that affect the degree to which an area is conducive to physical activity: population density, land use diversity, street design, and physical disorder in the environment. In a large, urban southwestern county, 30 block groups were randomly selected to represent low-, middle-, and high-income neighborhoods. Using the St. Louis Environmental Checklist Audit, walking audits were conducted and analyzed. The low-income neighborhoods had significantly greater density and land use diversity than the high-income neighborhoods. High-and middle-income neighborhoods had significantly fewer manifestations of physical disorder and incivility than low-income neighborhoods. Features of physical activity-promoting environments were found in each income level neighborhood.

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Section: Discussionmentioning

confidence: 50%

Section: Introductionmentioning

confidence: 99%

Environmental Audits of Friendliness toward Physical Activity in Three Income Levels

Taylor¹,

Franzini²,

Olvera³

et al. 2012

J Urban Health

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show abstract

“…18,19 Studies have examined both physical and social aspects or multiple dimensions of the environment. 12,[20][21][22] Findings suggest that there is a positive association between socially cohesive environments and PA. 21 In addition to personal factors such as enjoyment and preferences influencing activity levels, attributes of the collective (eg, social disengagement) negatively influence health behavior. 23 For example, those living in socially disengaged areas have over twice the odds of low PA, with little differential effect by individual factors.…”

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confidence: 86%

A Multilevel Study of the Associations Between Economic and Social Context, Stage of Adolescence, and Physical Activity and Body Mass Index

et al. 2007

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OBJECTIVE. Prevention efforts targeting adolescent risk behavior have had limited effectiveness, partly because of the reliance on individual-level interventions that do not consider the context within which behavior occurs. In addition, the role of development has not been well studied regarding its possible moderating effects on contextual influences on behavior. The purpose of this study was to examine the influence of economic and social context on the odds of being inactive or having above-normal weight and whether the influence differed on the basis of stage of adolescence.METHODS. Analysis used a subset of adolescents aged 10 to 17 years from the National Survey of Children's Health (n ϭ 37 930) from all states and the District of Columbia (n ϭ 51). Dependent variables included physical activity and BMI. State-level economic context was measured by the proportion of families living below 200% of the federal poverty level. Social context was measured by aggregated means of responses to 2 indicators of social capital: mutual aid and social trust. Multilevel modeling was conducted to investigate associations between state-level economic and social context and physical activity and BMI, while controlling for individual sociodemographic characteristics, and whether these associations were dependent on an individual's stage of adolescence. RESULTS. Both state-level mutual aid and social trust were significantly related to the odds of an adolescent not meeting current physical activity recommendations, yet state-level poverty was not. For BMI, all 3 state-level variables were significant predictors of having an above-normal BMI. Evidence was found of the moderating influence of stage of adolescence for both outcomes.CONCLUSIONS. These findings point to the need for the inclusion of contextual-level data in surveillance systems assessing risk behavior in adolescents and consideration of the multilevel nature of the growing problem of inactivity and abovenormal weight when focusing public health prevention efforts.www.pediatrics.org/cgi

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“…Maclntyre et al (2000) relates the lower PA participation in Low SES neighborhood residents to lack of both personal and neighborhood resources supporting PA behaviors. Negative social-cultural beliefs and attitudes toward the women's PA participation specific to Turkish context may also be a critical reason for the higher physical inactivity rate in Low SES areas ).…”

Section: Research Questionmentioning

confidence: 99%

Physical Education and Sport: Does Participation Relate to Physical Activity Patterns, Observed Fitness, and Personal Attitudes and Beliefs?

Loprinzi

Cardinal

et al. 2017

Am J Health Promot

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The social patterning of exercise behaviours: the role of personal and local resources

Cited by 66 publications

References 7 publications

Environmental Audits of Friendliness toward Physical Activity in Three Income Levels

Environmental Audits of Friendliness toward Physical Activity in Three Income Levels

A Multilevel Study of the Associations Between Economic and Social Context, Stage of Adolescence, and Physical Activity and Body Mass Index

Physical Education and Sport: Does Participation Relate to Physical Activity Patterns, Observed Fitness, and Personal Attitudes and Beliefs?

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