TY - JOUR
T1 - Association of the Built Environment and Neighborhood Resources With Obesity-Related Health Behaviors in Older Veterans With Hypertension
AU - Albanese, Natalie N.Y.
AU - Lin, Iris
AU - Friedberg, Jennifer P.
AU - Lipsitz, Stuart R.
AU - Rundle, Andrew
AU - Quinn, James W.
AU - Neckerman, Kathryn M.
AU - Nicholson, Andrew
AU - Allegrante, John P.
AU - Wylie-Rosett, Judith
AU - Natarajan, Sundar
N1 - Funding Information:
We have no conflict of interest to disclose. Research reported in this publication was supported by a Health Sciences Student Research Grant from the American Heart Association Founders Affiliate (Natalie N. Y. Albanese), by Grant IIR 04-170 from the Department of Veterans Affairs HSR&D Service (Sundar Natarajan) and by Grant P2CHD058486 from the Eunice Kennedy Shriver NICHD awarded to the Columbia Population Research Center and the Built Environment and Health Research Group (Andrew Rundle) at Columbia University. The content is solely the responsibility of the authors and does not necessarily represent the official views of these funding agencies.
Publisher Copyright:
© 2022 American Psychological Association
PY - 2022
Y1 - 2022
N2 - Objective: To evaluate the association of the built environment and neighborhood resources with exercise, diet, and body mass index (BMI). Method: Person-level data were collected from 533 veterans with uncontrolled hypertension. Neighborhood measures were: (a) census-tract level walkability; and (b) healthy food proximity (HFP). Robust or logistic regression (adjusting for age, race, education, comorbidity, and clustered by provider) was used to evaluate associations between neighborhood and exercise duration (hours/week), exercise adherence (% adherent), saturated fat index (0–10), Healthy Eating Index (HEI; 0–100), HEI adherence (≥74 score), stage of change (SOC) for exercise and diet (% in action/maintenance), BMI (kg/m2), and obesity (BMI ≥ 30 kg/m2). Results: The adjusted difference in HEI score (standard error [SE]) between the highest and lowest walkability tertiles was 3.67 (1.35), p =.006; the corresponding comparison for the saturated fat index was 1.03 (.50), p =.041 and BMI was –1.12 (.45), p =.013. The adjusted odds ratio (OR; 95% confidence intervals [CI]) between the highest and lowest walkability tertiles for HEI adherence was 2.16 [1.22, 3.82], p =.009 and for action/maintenance for exercise SOC was 1.78 [1.15, 2.76], p =.011. The adjusted difference (SE) between the highest and lowest HFP tertiles for exercise duration was.65 (.31), p =.03. The adjusted OR [95% CI] between the highest and lowest HFP tertiles for exercise adherence was 1.74 [1.08, 2.79], p =.023 and for action/maintenance for exercise SOC was 1.75 [1.10, 2.79], p =.034. Conclusions: Geographical location is associated with exercise and diet.
AB - Objective: To evaluate the association of the built environment and neighborhood resources with exercise, diet, and body mass index (BMI). Method: Person-level data were collected from 533 veterans with uncontrolled hypertension. Neighborhood measures were: (a) census-tract level walkability; and (b) healthy food proximity (HFP). Robust or logistic regression (adjusting for age, race, education, comorbidity, and clustered by provider) was used to evaluate associations between neighborhood and exercise duration (hours/week), exercise adherence (% adherent), saturated fat index (0–10), Healthy Eating Index (HEI; 0–100), HEI adherence (≥74 score), stage of change (SOC) for exercise and diet (% in action/maintenance), BMI (kg/m2), and obesity (BMI ≥ 30 kg/m2). Results: The adjusted difference in HEI score (standard error [SE]) between the highest and lowest walkability tertiles was 3.67 (1.35), p =.006; the corresponding comparison for the saturated fat index was 1.03 (.50), p =.041 and BMI was –1.12 (.45), p =.013. The adjusted odds ratio (OR; 95% confidence intervals [CI]) between the highest and lowest walkability tertiles for HEI adherence was 2.16 [1.22, 3.82], p =.009 and for action/maintenance for exercise SOC was 1.78 [1.15, 2.76], p =.011. The adjusted difference (SE) between the highest and lowest HFP tertiles for exercise duration was.65 (.31), p =.03. The adjusted OR [95% CI] between the highest and lowest HFP tertiles for exercise adherence was 1.74 [1.08, 2.79], p =.023 and for action/maintenance for exercise SOC was 1.75 [1.10, 2.79], p =.034. Conclusions: Geographical location is associated with exercise and diet.
KW - Built environment
KW - Diet
KW - Exercise
KW - Neighborhood walkability
KW - Obesity
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U2 - 10.1037/hea0001161
DO - 10.1037/hea0001161
M3 - Article
C2 - 35389690
AN - SCOPUS:85130604857
SN - 0278-6133
VL - 41
SP - 701
EP - 709
JO - Health Psychology
JF - Health Psychology
IS - 10
ER -