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


METHODS
Cross-sectional analysis.


METHODS
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.


METHODS
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%; p<0.001 for trend). A lower prevalence of diabetes was also observed in highest (6.3%) versus lowest (14.4%) neighborhood quartiles, but was not significantly different (p= 0.24 for trend). Highest versus lowest neighborhood quartile was associated with lower HbA1c (-0.31%, p=0.02) in unadjusted models. Women in the highest versus lowest neighborhood quartile had lower BMI (-2.01 kg/m2, p=0.001) and higher HDL-cholesterol (+6.09 mg/dL, p=0.01) after accounting for age, race, inflammation, and smoking.


CONCLUSIONS
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.
Dr. Rita Rastogi Kalyani, Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 333, Baltimore, Maryland 21287. Tel: (410)-502-6888, Fax: (410)-955-8172, E-mail: rrastogi@jhmi.edu.
Mark D
MD
Corriere
W
W
Yao
Q L
QL
Xue
A R
AR
Cappola
L P
LP
Fried
R J
RJ
Thorpe
S L
SL
Szanton
Rita R
RR
Kalyani
D050154:Adiposity; D000368:Aged; D015142:Baltimore / Q000453:epidemiology; D001794:Blood Pressure; D015992:Body Mass Index; D008076:Cholesterol, HDL / Q000097:blood; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000097:blood / Q000453:epidemiology*; D005260:Female; D006442:Glycated Hemoglobin / Q000032:analysis; D006306:Health Surveys; D006801:Humans; D006949:Hyperlipidemias / Q000097:blood / Q000453:epidemiology*; D006973:Hypertension / Q000097:blood / Q000453:epidemiology*; D009765:Obesity / Q000097:blood / Q000453:epidemiology*; D015995:Prevalence; D044469:Racial Groups; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012907:Smoking / Q000453:epidemiology
D008076:Cholesterol, HDL; D006442:Glycated Hemoglobin; C517652:hemoglobin A1c protein, human