The association of neighborhood characteristics with obesity and metabolic conditions in older women

Mark D. Corriere, W. Yao, Qian Li Xue, A. R. Cappola, Linda P Fried, Roland J Thorpe, Sarah L Szanton, Rita R. Kalyani

Research output: Contribution to journalArticle

Abstract

Objective: Previous studies exploring the relationship of neighborhood characteristics with metabolic conditions have focused on middle-aged adults but none have comprehensively investigated associations in older adults, a potentially vulnerable population. The aim was to explore the relationship of neighborhood characteristics with metabolic conditions in older women.

Design: Cross-sectional analysis.

Setting/Participants: We studied 384 women aged 70–79 years, representing the two-thirds least disabled women in the community, enrolled in the Women’s Health and Aging Study II at baseline. Neighborhood scores were calculated from census-derived data on median household income, median house value, percent earning interest income, percent completing high school, percent completing college, and percent with managerial or executive occupation. Participants were categorized by quartile of neighborhood score with a higher quartile representing relative neighborhood advantage. Logistic regression models were created to assess the association of neighborhood quartiles to outcomes, adjusting for key covariates.

Measurements: Primary outcomes included metabolic conditions: obesity, diabetes, hypertension, and hyperlipidemia. Secondary outcomes included BMI, HbA1c, blood pressure and lipids.

Results: Higher neighborhood quartile score was associated with a lower prevalence of obesity (highest quartile=13.5% versus lowest quartile=36.5%; p2, p=0.001) and higher HDL-cholesterol (+6.09 mg/dL, p=0.01) after accounting for age, race, inflammation, and smoking.

Conclusion: Worse neighborhood characteristics are associated with adiposity, hyperglycemia, and low HDL. Further longitudinal studies are needed and can inform future interventions to improve metabolic status in older adults.

Original languageEnglish (US)
Pages (from-to)792-798
Number of pages7
JournalThe journal of nutrition, health & aging
Volume18
Issue number9
DOIs
StatePublished - Dec 5 2014

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Obesity
Logistic Models
Adiposity
Women's Health
Vulnerable Populations
Censuses
Hyperlipidemias
Occupations
Hyperglycemia
HDL Cholesterol
Longitudinal Studies
Cross-Sectional Studies
Smoking
Blood Pressure
Hypertension
Inflammation
Lipids

Keywords

  • diabetes
  • elderly
  • metabolic abnormalities
  • Neighborhood
  • obesity

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics
  • Geriatrics and Gerontology

Cite this

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title = "The association of neighborhood characteristics with obesity and metabolic conditions in older women",
abstract = "Objective: Previous studies exploring the relationship of neighborhood characteristics with metabolic conditions have focused on middle-aged adults but none have comprehensively investigated associations in older adults, a potentially vulnerable population. The aim was to explore the relationship of neighborhood characteristics with metabolic conditions in older women.Design: Cross-sectional analysis.Setting/Participants: We studied 384 women aged 70–79 years, representing the two-thirds least disabled women in the community, enrolled in the Women’s Health and Aging Study II at baseline. Neighborhood scores were calculated from census-derived data on median household income, median house value, percent earning interest income, percent completing high school, percent completing college, and percent with managerial or executive occupation. Participants were categorized by quartile of neighborhood score with a higher quartile representing relative neighborhood advantage. Logistic regression models were created to assess the association of neighborhood quartiles to outcomes, adjusting for key covariates.Measurements: Primary outcomes included metabolic conditions: obesity, diabetes, hypertension, and hyperlipidemia. Secondary outcomes included BMI, HbA1c, blood pressure and lipids.Results: Higher neighborhood quartile score was associated with a lower prevalence of obesity (highest quartile=13.5{\%} versus lowest quartile=36.5{\%}; p2, p=0.001) and higher HDL-cholesterol (+6.09 mg/dL, p=0.01) after accounting for age, race, inflammation, and smoking.Conclusion: Worse neighborhood characteristics are associated with adiposity, hyperglycemia, and low HDL. Further longitudinal studies are needed and can inform future interventions to improve metabolic status in older adults.",
keywords = "diabetes, elderly, metabolic abnormalities, Neighborhood, obesity",
author = "Corriere, {Mark D.} and W. Yao and Xue, {Qian Li} and Cappola, {A. R.} and Fried, {Linda P} and Thorpe, {Roland J} and Szanton, {Sarah L} and Kalyani, {Rita R.}",
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T1 - The association of neighborhood characteristics with obesity and metabolic conditions in older women

AU - Corriere, Mark D.

AU - Yao, W.

AU - Xue, Qian Li

AU - Cappola, A. R.

AU - Fried, Linda P

AU - Thorpe, Roland J

AU - Szanton, Sarah L

AU - Kalyani, Rita R.

PY - 2014/12/5

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N2 - Objective: Previous studies exploring the relationship of neighborhood characteristics with metabolic conditions have focused on middle-aged adults but none have comprehensively investigated associations in older adults, a potentially vulnerable population. The aim was to explore the relationship of neighborhood characteristics with metabolic conditions in older women.Design: Cross-sectional analysis.Setting/Participants: We studied 384 women aged 70–79 years, representing the two-thirds least disabled women in the community, enrolled in the Women’s Health and Aging Study II at baseline. Neighborhood scores were calculated from census-derived data on median household income, median house value, percent earning interest income, percent completing high school, percent completing college, and percent with managerial or executive occupation. Participants were categorized by quartile of neighborhood score with a higher quartile representing relative neighborhood advantage. Logistic regression models were created to assess the association of neighborhood quartiles to outcomes, adjusting for key covariates.Measurements: Primary outcomes included metabolic conditions: obesity, diabetes, hypertension, and hyperlipidemia. Secondary outcomes included BMI, HbA1c, blood pressure and lipids.Results: Higher neighborhood quartile score was associated with a lower prevalence of obesity (highest quartile=13.5% versus lowest quartile=36.5%; p2, p=0.001) and higher HDL-cholesterol (+6.09 mg/dL, p=0.01) after accounting for age, race, inflammation, and smoking.Conclusion: Worse neighborhood characteristics are associated with adiposity, hyperglycemia, and low HDL. Further longitudinal studies are needed and can inform future interventions to improve metabolic status in older adults.

AB - Objective: Previous studies exploring the relationship of neighborhood characteristics with metabolic conditions have focused on middle-aged adults but none have comprehensively investigated associations in older adults, a potentially vulnerable population. The aim was to explore the relationship of neighborhood characteristics with metabolic conditions in older women.Design: Cross-sectional analysis.Setting/Participants: We studied 384 women aged 70–79 years, representing the two-thirds least disabled women in the community, enrolled in the Women’s Health and Aging Study II at baseline. Neighborhood scores were calculated from census-derived data on median household income, median house value, percent earning interest income, percent completing high school, percent completing college, and percent with managerial or executive occupation. Participants were categorized by quartile of neighborhood score with a higher quartile representing relative neighborhood advantage. Logistic regression models were created to assess the association of neighborhood quartiles to outcomes, adjusting for key covariates.Measurements: Primary outcomes included metabolic conditions: obesity, diabetes, hypertension, and hyperlipidemia. Secondary outcomes included BMI, HbA1c, blood pressure and lipids.Results: Higher neighborhood quartile score was associated with a lower prevalence of obesity (highest quartile=13.5% versus lowest quartile=36.5%; p2, p=0.001) and higher HDL-cholesterol (+6.09 mg/dL, p=0.01) after accounting for age, race, inflammation, and smoking.Conclusion: Worse neighborhood characteristics are associated with adiposity, hyperglycemia, and low HDL. Further longitudinal studies are needed and can inform future interventions to improve metabolic status in older adults.

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