HABITAT: A longitudinal multilevel study of physical activity change in mid-aged adults

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

doi:10.1186/1471-2458-9-76

Cited by 121 publications

(99 citation statements)

References 33 publications

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“…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). Given this, and the fact that lifestyle behaviors associated with arthritis are more likely to be observed in individuals of lower SES (10), it is possible that the relationship we report between neighborhood disadvantage and arthritis may be underestimated.…”

Section: Discussionmentioning

confidence: 99%

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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: 99%

“…Details regarding the HABITAT sampling design have been published elsewhere (15). Briefly, a multistage probability sampling design was used to select a stratified random sample (n ϭ 200) of census collector's districts (CCDs), and from within each CCD, a random sample of people ages 40 -65 years (n ϭ 17,000).…”

Section: Methodsmentioning

confidence: 99%

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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“…The baseline survey (2007) was conducted using a multi-stage probability sampling technique. First, a stratified random sample technique was used to select the 200 CCDs, and from within each CCD, a simple random sample was then drawn (Burton et al 2009;Turrell et al 2010). The survey was purposely designed to examine changes in the health and related behaviours of a 'baby boomer ' cohort (born between 1946 and 1965), and as a result, younger age individuals were not included.…”

Section: Habitat Panel Survey Datamentioning

confidence: 99%

Australian baby boomers switched to more environment friendly modes of transport during the global financial crisis

Kamruzzaman

Yiğitcanlar

Washington

et al. 2014

Int. J. Environ. Sci. Technol.

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The global financial crisis (GFC) in 2008 rocked economies around the world. Several intermediate outcomes of the GFC included loss of jobs and reduced income. Relatively little research has, however, examined the impacts of the GFC on individual level travel behaviour change. To address this shortcoming, HABITAT panel data were employed to estimate a multinomial logit model to examine mode switching behaviour between 2007 and 2009 of a baby boomers cohort in Brisbane, Australia-a city within a developed country that has been on many metrics the least affected by the GFC. In addition, a Poisson regression model was estimated to model the number of trips made by individuals in 2007, 2008, and 2009. The South East Queensland travel survey datasets were used to develop this model. Four linear regression models were estimated to assess the effects of the GFC on time allocated to travel during a day: one for each of the three travel modes including public transport, active transport, less environmentally friendly transport; and an overall travel time model irrespective of mode. The results reveal that the baby boomers switched to more environmentally friendly travel modes during the GFC.

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“…We then tested the main research questions using a multilevel hierarchical random effect statistical model (Radenbush & Bruk, 2002;Subramanian, Jones, & Duncan, 2003;Burton et al, 2009;Healy, 2001;Li et al, 2005;Rundle et al, 2007). Our data are considered multilevel since they consist of individual-level characteristics on the first level that can be clustered into various geographies (such as by continent, country, region, state/province, or city) on the second level.…”

Section: Statistical Methodologymentioning

confidence: 99%

Scofflaw bicycling: Illegal but rational

Marshall

Piatkowski

Johnson

2017

JTLU

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Abstract:Nearly everyone has jaywalked, rolled through a stop sign, or driven a few miles per hour over the speed limit, but most such offenses face no legal consequences. Society also tends to see these relatively minor infractions that almost all people make-though they are unmistakably illegal-as normal and even rational. Bicyclists who break the law, however, seem to attract a higher level of scorn and scrutiny. While the academic literature has exhaustively covered unlawful driving behaviors, there remains little research on bicyclists who break the rules of the road. This paper examines rule-breaking bicyclists and the factors associated with such behaviors. We also explore the question: are bicyclists making rational, albeit illegal, choices-similar to most drivers and pedestrians-or are bicyclists reckless and dangerous? Because it's proven effective for reaching hard-to-reach populations, we employed a snowball-sampling framework and an online, scenario-based survey completed by nearly 18,000 respondents. Via multi-level statistical analyses, our results suggest that younger people and males tend to exhibit higher levels of illegal bicycling behavior, but even when combining high-risk factors, the overwhelming majority of bicyclists are not reckless. Controlling for the context and social norms of the city where one lives tends to outweigh individual bicyclist characteristics such as race/ethnicity and income. Unlawful drivers and pedestrians tend to rationalize their behaviors as time saving; bicyclists similarly rationalize their illegal behaviors but were more inclined to cite increasing their own personal safety and/or saving energy. Most bicyclists can generally be described as rational individuals trying to function safely and efficiently given the context and norms of where they live and the transportation system put in front of them.

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HABITAT: A longitudinal multilevel study of physical activity change in mid-aged adults

Cited by 121 publications

References 33 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

Australian baby boomers switched to more environment friendly modes of transport during the global financial crisis

Scofflaw bicycling: Illegal but rational

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