Neighborhood Disadvantage and Physical Activity: Baseline Results from the HABITAT Multilevel Longitudinal Study

Turrell, Gavin; Haynes, Michele; Burton, Nicola W.; Giles-Corti, Billie; Oldenburg, Brian; Wilson, Lee-Ann M.; Giskes, Katrina; Brown, Wendy J.

doi:10.1016/j.annepidem.2009.11.004

Cited by 122 publications

(103 citation statements)

References 50 publications

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“…Given that physical activity is an important predictor of obesity, this is worthy of discussion in the context of social determinants. The built environment plays a key role in terms of influencing physical activity in neighborhoods, with recent data showing a greater propensity for individuals residing in less disadvantaged areas to participate in more physically active lifestyles (12). However, given that our current study did not examine the role of physical activity on arthritis, we are only able at this point to speculate about the complexity between disadvantage measured at the neighborhood and individual levels and arthritis.…”

Section: Discussionmentioning

confidence: 78%

“…Furthermore, and as previously reported, the areal units employed for analysis within the HABITAT cohort were selected based on sampling convenience (36), and not reasons specifically related to arthritis prevalence; given this, we hypothesize that the potential impact of living in a disadvantaged neighborhood on the prevalence of self-reported arthritis would be underestimated. Nonresponse for the baseline HABITAT study was 31.5%, with greater nonresponse from individuals in more disadvantaged neighborhoods (12). The population was identified from the Commonwealth Electoral Roll, which has been reported as underrepresenting individuals who are disadvantaged, transient or homeless, and migrant (15).…”

Section: Discussionmentioning

confidence: 99%

“…A CCD is the smallest administrative unit used by the Australian Bureau of Statistics (ABS) to collect census data. In urban areas such as Brisbane, a CCD contains an average of 200 private dwellings that are deemed to be relatively homogeneous in terms of their socioeconomic characteristics (12). CCDs are embedded within a larger suburb; therefore, the area corresponding to and immediately surrounding a CCD is likely to have meaning and significance for their residents.…”

Section: Methodsmentioning

confidence: 99%

“…Multilevel analyses have shown that residents of disadvantaged neighborhoods, independent of individual factors, are more likely to be overweight (11) and have lower levels of physical activity (12), both significant modifiable lifestyle-related risk factors that are associated with the onset and progression of arthritis (13,14). Our primary hypothesis was that there would be differential contributions to arthritis associated with individual-and neighborhood-level disadvantage.…”

Section: Introductionmentioning

confidence: 97%

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Neighborhood disadvantage, individual‐level socioeconomic position, and self‐reported chronic arthritis: A cross‐sectional multilevel study

Brennan¹,

Turrell²

2012

Arthritis Care & Research

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Objective. To examine the association between individual-and neighborhood-level disadvantage and self-reported arthritis. Methods. We used data from a population-based cross-sectional study conducted in 2007 among 10,757 men and women ages 40 -65 years, selected from 200 neighborhoods in Brisbane, Queensland, Australia using a stratified 2-stage cluster design. Data were collected using a mail survey (68.5% response). Neighborhood disadvantage was measured using a census-based composite index, and individual disadvantage was measured using self-reported education, household income, and occupation. Arthritis was indicated by self-report. Data were analyzed using multilevel modeling. Results. The overall rate of self-reported arthritis was 23% (95% confidence interval [95% CI] 22-24). After adjustment for sociodemographic factors, arthritis prevalence was greatest for women (odds ratio [OR] 1.5, 95% CI 1.4 -1.7) and in those ages 60 -65 years (OR 4.4, 95% CI 3.7-5.2), those with a diploma/associate diploma (OR 1.3, 95% CI 1.1-1.6), those who were permanently unable to work (OR 4.0, 95% CI 3.1-5.3), and those with a household income <$25,999 (OR 2.1, 95% CI 1.7-2.6). Independent of individual-level factors, residents of the most disadvantaged neighborhoods were 42% (OR 1.4, 95% CI 1.2-1.7) more likely than those in the least disadvantaged neighborhoods to self-report arthritis. Cross-level interactions between neighborhood disadvantage and education, occupation, and household income were not significant. Conclusion. Arthritis prevalence is greater in more socially disadvantaged neighborhoods. These are the first multilevel data to examine the relationship between individual-and neighborhood-level disadvantage upon arthritis and have important implications for policy, health promotion, and other intervention strategies designed to reduce the rates of arthritis, indicating that intervention efforts may need to focus on both people and places.

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Section: Discussionmentioning

confidence: 78%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

See 2 more Smart Citations

Neighborhood disadvantage, individual‐level socioeconomic position, and self‐reported chronic arthritis: A cross‐sectional multilevel study

Brennan¹,

Turrell²

2012

Arthritis Care & Research

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“…1,2 Such disparities are particularly apparent for recreational physical activity. A study in the Netherlands found that residents of low SES neighborhoods had a higher likelihood of not participating in recreational physical activity, in comparison to those of high SES areas.…”

Section: Introductionmentioning

confidence: 99%

Do Relationships Between Environmental Attributes and Recreational Walking Vary According to Area-Level Socioeconomic Status?

et al. 2015

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Residents of areas with lower socioeconomic status (SES) are known to be less physically active during leisure time. Neighborhood walkability has been shown to be related to recreational walking equally in low and high SES areas. This crosssectional study tested whether associations of specific environmental attributes, measured objectively and subjectively, with walking for recreation were moderated by area-level SES. The data of the North West Adelaide Health Study collected in 2007 (n=1500, mean age 57) were used. Self-reported walking frequency was the outcome of the study. Environmental exposure measures included objectively measured walkability components (residential density, intersection density, land use mix, and net retail area ratio) and perceived attributes (access to destinations, neighborhood esthetics, walking infrastructure, traffic/barriers, and crime safety). Participants' suburbs were categorized into low and high SES areas using an indicator of socioeconomic disadvantage. Low SES areas had lower scores in residential density, neighborhood esthetics, walking infrastructure, traffic/barriers, and crime safety. Recreational walking was associated with residential density, access to destinations, esthetics, traffic/barriers, and crime safety. Effect modification was observed for two attributes (out of nine): residential density was associated with walking only in low SES areas, while walking infrastructure was associated with walking only in high SES areas. The associations of neighborhood environmental attributes with recreational walking were largely consistent across SES groups. However, low SES areas were disadvantaged in most perceived environmental attributes related to recreational walking. Improving such attributes in low SES neighborhoods may help close socioeconomic disparities in leisure time physical activity.

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Community stewardship to protect coastal and freshwater ecosystems–pathways between recreation and stewardship intentions

Dean,

Uebel,

Schultz

et al. 2024

People and Nature

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Strengthening community engagement in stewardship can help to improve management of coastal and freshwater environments (blue spaces). Research suggests that recreational users of natural areas may be more willing to engage in stewardship. However, little research at a population scale has examine how recreation experiences shape psychological ingredients for stewardship. We surveyed 3271 residents of South East Queensland, Australia and quantified willingness to engage in blue space stewardship. We then quantified frequency of different types of blue space recreation, perceptions about threats to blue spaces (threat appraisal) and protective actions (coping appraisal), and satisfaction with blue spaces. We then examined pathways from recreation to stewardship intentions using mediation analysis. Results show that many types of recreation were associated with stewardship intentions. Specifically, higher frequency of social activities and nature‐appreciation activities were associated with greater intentions for individual stewardship (e.g. picking up litter, reducing use of household chemicals). Higher frequency of social activities, nature appreciation, exercise and fishing/boating was associated with stronger intentions for collective stewardship (e.g. attending a public meeting or riparian management event) Mediation analysis showed that most forms of recreation did not influence perceptions about severity of threats to blue spaces. Rather, the relationships between recreation and stewardship were mediated by greater place satisfaction, perceived vulnerability to blue space degradation, and feeling more able to contribute to waterway protection (efficacy). These findings indicate that many types of recreation (not just nature appreciation activities) can be a foundation for engaging in nature stewardship, and reinforce the importance of building efficacy when promoting stewardship. The finding that both place satisfaction and perceived vulnerability to environmental degradation suggests that there may be an optimal motivational window for stewardship: people need to connect a place with positive experiences, and have some recognition of a potential threat, but where the potential threat has not yet eroded the natural values of a place. Read the free Plain Language Summary for this article on the Journal blog.

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Neighborhood Disadvantage and Physical Activity: Baseline Results from the HABITAT Multilevel Longitudinal Study

Abstract: Neighborhoods may exert a contextual effect on the likelihood of residents participating in PA. The greater propensity of residents in advantaged neighborhoods to do high levels of total PA may contribute to lower rates of cardiovascular disease and obesity in these areas.

Cited by 122 publications

References 50 publications

Neighborhood disadvantage, individual‐level socioeconomic position, and self‐reported chronic arthritis: A cross‐sectional multilevel study

Neighborhood disadvantage, individual‐level socioeconomic position, and self‐reported chronic arthritis: A cross‐sectional multilevel study

Do Relationships Between Environmental Attributes and Recreational Walking Vary According to Area-Level Socioeconomic Status?

Community stewardship to protect coastal and freshwater ecosystems–pathways between recreation and stewardship intentions

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