TY - JOUR
T1 - Neighborhood socioeconomic disadvantage and body mass index among residentially stable mid-older aged adults
T2 - Findings from the HABITAT multilevel longitudinal study
AU - Rachele, Jerome N.
AU - Kavanagh, Anne
AU - Brown, Wendy J.
AU - Healy, Aislinn M.
AU - Schmid, Christina J.
AU - Turrell, Gavin
N1 - Funding Information:
The HABITAT study is funded by the National Health and Medical Research Council (NHMRC) (ID 497236 , 339718 , 1047453 ). JNR is supported by the NHMRC Centre for Research Excellence in Healthy Livable Communities (ID 1061404).
Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2017/12
Y1 - 2017/12
N2 - Despite a body of evidence on the relationship between neighborhood socioeconomic disadvantage and body mass index (BMI), few studies have examined this relationship over time among ageing populations. This study examined associations between level of neighborhood socioeconomic disadvantage and the rate of change in BMI over time. The sample included 11,035 participants aged between 40 and 65 years at baseline from the HABITAT study, residing in 200 neighborhoods in Brisbane, Australia. Data were collected biennially over four waves from 2007 to 2013. Self-reported height and weight were used to calculate BMI, while neighborhood disadvantage was measured using a census-based composite index. All models were adjusted for age, education, occupation, and household income. Analyses were conducted using multilevel linear regression models. BMI increased over time at a rate of 0.08 kg/m2 (95% CI 0.02, 0.13) and 0.17 kg/m2 (95% CI 0.11, 0.29) per wave for men and women respectively. Both men and women residing in the most disadvantaged neighborhoods had a higher average BMI than their counterparts living in the least disadvantaged neighborhoods. There were no evident differences in the rate of BMI change over time by level of neighborhood disadvantage. The findings suggest that by mid-older age, the influence of neighborhood socioeconomic conditions over time on BMI may have already played out. Future research should endeavor to identify the genesis of neighborhood socioeconomic inequalities in BMI, the determinants of these inequalities, and then suitable approaches to intervening.
AB - Despite a body of evidence on the relationship between neighborhood socioeconomic disadvantage and body mass index (BMI), few studies have examined this relationship over time among ageing populations. This study examined associations between level of neighborhood socioeconomic disadvantage and the rate of change in BMI over time. The sample included 11,035 participants aged between 40 and 65 years at baseline from the HABITAT study, residing in 200 neighborhoods in Brisbane, Australia. Data were collected biennially over four waves from 2007 to 2013. Self-reported height and weight were used to calculate BMI, while neighborhood disadvantage was measured using a census-based composite index. All models were adjusted for age, education, occupation, and household income. Analyses were conducted using multilevel linear regression models. BMI increased over time at a rate of 0.08 kg/m2 (95% CI 0.02, 0.13) and 0.17 kg/m2 (95% CI 0.11, 0.29) per wave for men and women respectively. Both men and women residing in the most disadvantaged neighborhoods had a higher average BMI than their counterparts living in the least disadvantaged neighborhoods. There were no evident differences in the rate of BMI change over time by level of neighborhood disadvantage. The findings suggest that by mid-older age, the influence of neighborhood socioeconomic conditions over time on BMI may have already played out. Future research should endeavor to identify the genesis of neighborhood socioeconomic inequalities in BMI, the determinants of these inequalities, and then suitable approaches to intervening.
KW - Body mass index
KW - Longitudinal
KW - Multilevel modelling
KW - Neighborhood disadvantage
KW - Obesity
KW - Residence characteristics
KW - Social class
UR - http://www.scopus.com/inward/record.url?scp=85030860233&partnerID=8YFLogxK
U2 - 10.1016/j.ypmed.2017.09.017
DO - 10.1016/j.ypmed.2017.09.017
M3 - Short Survey/Scientific Report
C2 - 28963008
AN - SCOPUS:85030860233
SN - 0091-7435
VL - 105
SP - 271
EP - 274
JO - Preventive Medicine
JF - Preventive Medicine
ER -