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Longitudinal state-level effects on change in body mass index among middle-aged and older adults in the USA
Author(s)Cheng-Chia Chen, Dong-Chui Seo, Hsien-Chang Lin
Journal titleHealth Education Journal, vol 77, no 1, February 2019
PublisherSage, February 2019
Pagespp 59-72
Sourcehttp://www.journals.sagepub.com/home/hej
KeywordsMiddle aged ; Age groups [elderly] ; Weight ; Obesity ; Socio-economic groups ; Ethnic groups ; Diet ; Walking ; Pedestrian transport ; Correlation ; Longitudinal surveys ; United States of America.
AnnotationThis longitudinal study aimed to examine the effects of state-level socioeconomic status (SES), the availability of fast food restaurants, and walking to work on body mass index (BMI) among American adults aged 50 years and older. The study also sought to account for the interaction effects of three different hierarchical levels of variables, including time-varying variables and time-invariant variables such as individual and state-level variables. Confounding related to environmental or neighbourhood effects was controlled for through sample selection. Data were drawn from the 2000-2010 Health and Retirement Study (HRS) and the 2010 US Census. The study sample comprised 76,156 HRS survey participants aged 50 years and older in 2000, residing in the same census tract (i.e. cenesus area or district) during 2000-2010. A three-level growth model was fitted to BMI trajectories. The study found that BMI significantly increased over time, showing both a linear and quadratic decelerating trajectory (p<.001) where BMI grew faster among sampled adults in their early 50s. Women living in US states with a lower state-level SES had higher BMIs, while men with higher state-level SES had a higher BMI (b=-.242, p=.013). In states with a higher proportion of people who walked to work, Hispanics had higher BMIs at baseline and a lower BMI growth rate, compared with non-Hispanic whites (b=-.033, p<.001). The study concludes that obesity interventions specific to adults aged 50 years and older require greater emphasis. Potential health inequalities regarding weight gain can be ameliorated through tailoring interventions based on sex, environmental and state-level SES influences. (RH).
Accession NumberCPA-180302209 A
ClassmarkSE: BB: 4X6: CSA: T4: TK: CFD: HSA: OE: 49: 3J: 7T

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