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Source: Health and Place
Resulting in 7 citations.
| 1. |
Alvarado, Steven Elias |
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The Indelible Weight of Place: Childhood Neighborhood Disadvantage, Timing of Exposure, and Obesity across Adulthood Health and Place 58 (July 2019): DOI: 10.1016/j.healthplace.2019.102159. Also: https://doi.org/10.1016/j.healthplace.2019.102159 Cohort(s): Children of the NLSY79, NLSY79, NLSY79 Young Adult Publisher: Elsevier Keyword(s): Body Mass Index (BMI); Geocoded Data; Modeling, Fixed Effects; Neighborhood Effects; Obesity; Siblings I use 28 (1986–2014) years of restricted geocoded NLSY tract-level data and find positive associations between exposure to childhood neighborhood disadvantage and adult obesity and BMI among individuals growing up and entering adulthood during the rise of obesity in the United States. Sibling fixed effects and cousin fixed effects models partially address unobserved confounding nested in the nuclear as well as extended family. Furthermore, exposure to neighborhood disadvantage in adolescence is most salient, providing insight into when policy intervention may be most effective. Results are robust to alternative specifications for neighborhood disadvantage, ages of exposure, and to alternative sampling strategies. |
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Bibliography Citation
Alvarado, Steven Elias. "The Indelible Weight of Place: Childhood Neighborhood Disadvantage, Timing of Exposure, and Obesity across Adulthood." Health and Place 58 (July 2019): DOI: 10.1016/j.healthplace.2019.102159.
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| 2. |
Headen, Irene Mujahid, Mahasin S. Deardorff, Julianna Rehkopf, David Abrams, Barbara |
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Associations between Cumulative Neighborhood Deprivation, Long-term Mobility Trajectories, and Gestational Weight Gain Health and Place 52 (July 2018): 101-109. Also: https://www.sciencedirect.com/science/article/pii/S1353829217306676 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Geocoded Data; Gestation/Gestational weight gain; Mobility; Neighborhood Effects Existing research on neighborhood environment and gestational weight gain (GWG) focuses on point-in-time measures of neighborhood context. This precludes understanding how long-term exposure to adverse neighborhood environments influences GWG. We estimated associations between average exposure to and trajectories of long-term neighborhood socioeconomic deprivation and risk of inadequate or excessive GWG. Using data from 5690 full-term, singleton pregnancies in the 1979 National Longitudinal Survey of Youth, we estimated associations between cumulative deprivation and GWG, overall and by race/ethnicity, controlling for individual and residential covariates. A one standard deviation unit (8-point) increase in neighborhood deprivation increased risk of inadequate GWG (Relative Risk (RR): 1.08; 95% Confidence Interval (CI): 1.00-1.16) for all women and excessive GWG (RR: 1.11; 95% CI 1.02-1.21) for white women. Persistent low deprivation (RR: 0.78; 95% CI: 0.64-0.94) and upward mobility (RR: 0.76; 95% CI: 0.61-0.96), compared to persistent high deprivation, reduced risk of inadequate GWG. Persistent low deprivation also reduced risk of excessive GWG (RR: 0.84; 95% CI: 0.71–0.98). Long-term neighborhood deprivation contributes to patterns of GWG over women's life course. |
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Bibliography Citation
Headen, Irene, Mahasin S. Mujahid, Julianna Deardorff, David Rehkopf and Barbara Abrams. "Associations between Cumulative Neighborhood Deprivation, Long-term Mobility Trajectories, and Gestational Weight Gain." Health and Place 52 (July 2018): 101-109.
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| 3. |
Lee, Mark |
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Obesity among U.S. Rural Adults: Assessing Selection and Causation with Prospective Cohort Data Health and Place published online (29 November 2019): DOI: 10.1016/j.healthplace.2019.102260. Also: https://www.sciencedirect.com/science/article/pii/S1353829219306318 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Migration; Modeling, Fixed Effects; Obesity; Rural Areas; Rural/Urban Differences; Rural/Urban Migration Rural adults in the U.S. have disproportionately high rates of obesity, but it is unclear whether this association exists because of selective migration or a contextual effect of the rural environment. Using nationally representative longitudinal data, this study investigates: (1) whether people with obesity select into rural counties, and (2) whether living in a rural area increases body weight after accounting for selection bias. Results indicate that people with obesity are less likely to move to a different county than people without obesity even after controlling for individual and household differences. Next, individual fixed effects regression models, which implicitly control for all time-constant variables, are used to produce a more robust estimate of the effect of rural residence on body weight. Rural residence predicts a significant increase in probability of obesity and body mass index. These results suggest that the association between rural residence and obesity in the United States is likely bidirectional. |
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Bibliography Citation
Lee, Mark. "Obesity among U.S. Rural Adults: Assessing Selection and Causation with Prospective Cohort Data." Health and Place published online (29 November 2019): DOI: 10.1016/j.healthplace.2019.102260.
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| 4. |
Moloney, Katherine L. South, Scott J. |
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Ethnic Density and Obesity: Evidence from Fixed-effects Models Health and Place 31 (January 2015): 199-207. Also: http://www.sciencedirect.com/science/article/pii/S1353829214001853 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Body Mass Index (BMI); Data Linkage (also see Record Linkage); Ethnic Differences; Gender Differences; Geocoded Data; Height; Height, Height-Weight Ratios; Modeling, Fixed Effects; Obesity; Racial Differences; Standard Metropolitan Statistical Area (SMSA); Weight We use data from the 1980 to 2004 waves of the National Longitudinal Survey of Youth, 1979 Cohort to examine the association between the ethnic density of metropolitan areas and obesity among U.S. blacks and Latinos. Although minority groups' obesity rates tend to be higher in metropolitan areas containing many co-ethnics, controlling for other areal characteristics and unobserved time-constant confounders via fixed-effects models dramatically alters this association. In the fixed-effects models, higher levels of co-ethnic density are inversely associated with black males' obesity risk and unrelated to the obesity risk of black females, Latinas, and Latino males. For most groups, marrying and having children increases the risk of obesity. |
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Bibliography Citation
Moloney, Katherine L. and Scott J. South. "Ethnic Density and Obesity: Evidence from Fixed-effects Models." Health and Place 31 (January 2015): 199-207.
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| 5. |
Olukotun, Oluwatoyin Williams, Joni S. Zhou, Zhipeng Akinboboye, Olaitan Egede, Leonard E. |
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The Association between History of Incarceration and Heart Disease: Adults from the 1979 National Longitudinal Survey of Youth Health and Place 75 (May 2022): 102808. Also: https://www.sciencedirect.com/science/article/pii/S1353829222000697 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Health, Chronic Conditions; Incarceration/Jail This was a study of 12,686 adults from the National Longitudinal Survey of Youth (NLSY) 1979 dataset. History of incarceration was the predictor and defined as any episode of incarceration in a correctional institution. The outcome, heart disease, was defined as self-reported diagnosis of heart disease. Covariates included: Demographic factors (age, race, sex, place of residence, and marital status), lifestyle and clinical factors (drug use, body mass index (BMI), early life health limitation, cigarette smoking, and binge drinking), and socioeconomic factors (poverty status, educational attainment, and employment status). Pooled logistic regression models with generalized estimating equation approach (GEE) were used to model the relationship between history of incarceration and heart disease. In the unadjusted analyses, a history of incarceration was significantly associated with an increased odds of heart disease (OR 2.29; 95% CI 1.40, 3.75). This relationship persisted after adjusting for demographic (OR 3.46; 95% CI 2.06, 5.85) and lifestyle and clinical factors (OR 3.46; 95% CI 2.03, 5.88) and socioeconomic factors (OR 2.14; 95% CI 1.25, 3.67). In this sample of adults, a history of incarceration was significantly associated with heart disease, after adjusting for demographic, lifestyle and clinical factors, and socioeconomic factors. These findings suggest that exposure to incarceration may heighten susceptibility to heart disease. Further research is needed to elucidate the mechanisms through which incarceration impacts cardiovascular health. |
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Bibliography Citation
Olukotun, Oluwatoyin, Joni S. Williams, Zhipeng Zhou, Olaitan Akinboboye and Leonard E. Egede. "The Association between History of Incarceration and Heart Disease: Adults from the 1979 National Longitudinal Survey of Youth." Health and Place 75 (May 2022): 102808.
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| 6. |
Powell, Lisa M. Zhao, Zhenxiang Wang, Youfa |
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Food Prices and Fruit and Vegetable Consumption among Young American Adults Health and Place 15,4 (December 2009): 1064-1070. Also: http://www.sciencedirect.com/science/article/pii/S1353829209000513 Cohort(s): NLSY97 Publisher: Elsevier Keyword(s): Education; Geocoded Data; Mothers, Education; Nutritional Status/Nutrition/Consumption Behaviors; Socioeconomic Factors Multivariate negative binomial count models were estimated to examine associations between young adults' fruit and vegetable (FV) consumption and the prices of FV, other food at home grocery items, and fast food and the availability of restaurants and food stores. This study used the 2002 wave of data collected from US young adults aged 18-23 years in the 1997 National Longitudinal Survey of Youth merged by geocode identifiers with food prices and restaurant and food store availability. The results showed that higher levels of FV consumption were associated with lower FV prices (price elasticity of -0.32) and that this own-price effect was robust to the inclusion of other food prices and food outlet availability. Lower income and lower educated young adults and those with lower educated mothers and middle-income parents were found to be most price sensitive. No statistically significant cross-price effects on FV consumption were found with other grocery food (meat, dairy and bread) prices or fast food prices. Fiscal policy instruments such as FV subsidies may help to increase FV intake, particularly among young adults of lower socioeconomic status. |
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Bibliography Citation
Powell, Lisa M., Zhenxiang Zhao and Youfa Wang. "Food Prices and Fruit and Vegetable Consumption among Young American Adults." Health and Place 15,4 (December 2009): 1064-1070.
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| 7. |
Rodgers, Justin Briesacher, Becky A. Wallace, Robert B. Kawachi, Ichiro Baum, Christopher F. Kim, Daniel |
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County-level Housing Affordability in Relation to Risk Factors for Cardiovascular Disease among Middle-aged Adults: The National Longitudinal Survey of Youths 1979 Health and Place 59 (September 2019): DOI: 10.1016/j.healthplace.2019.102194. Also: https://www.sciencedirect.com/science/article/pii/S1353829218311791 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Depression (see also CESD); Geocoded Data; Health, Chronic Conditions; Household Income; Housing/Housing Characteristics/Types; Modeling, Fixed Effects; Obesity Using a nationally-representative sample of middle-aged adults from the National Longitudinal Survey of Youths 1979 (NLSY79) and exploiting quasi-experimental variation before and after the Great Recession, we estimated the associations between the change in median county-level percentage of household income spent on housing (rent/mortgage) between 2000 and 2008 and individual-level risks of incident hypertension, obesity, diabetes, and depression from 2008 to 2014. We employed conditional fixed effects logistic regression models to reduce bias due to time-invariant confounding. |
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Bibliography Citation
Rodgers, Justin, Becky A. Briesacher, Robert B. Wallace, Ichiro Kawachi, Christopher F. Baum and Daniel Kim. "County-level Housing Affordability in Relation to Risk Factors for Cardiovascular Disease among Middle-aged Adults: The National Longitudinal Survey of Youths 1979." Health and Place 59 (September 2019): DOI: 10.1016/j.healthplace.2019.102194.
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