Colette Andrea Cunningham-Myrie1, Katherine P Theall2, Novie O Younger3, Emily A Mabile2, Marshall K Tulloch-Reid3, Damian K Francis3, Shelly R McFarlane3, Georgiana M Gordon-Strachan4, Rainford J Wilks3. 1. Department of Community Health and Psychiatry, The University of the West Indies, Mona, Kingston 7, Jamaica; Tropical Medicine Research Institute, The University of the West Indies, Mona, Kingston, Jamaica. Electronic address: colette.cunninghammyrie@uwimona.edu.jm. 2. Department of Global Community Health and Behavioral Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA. 3. Tropical Medicine Research Institute, The University of the West Indies, Mona, Kingston, Jamaica. 4. Mona Office for Research and Innovation, The University of the West Indies, Mona, Kingston, Jamaica.
Abstract
OBJECTIVE: To examine the impact of neighborhood disorder, perceived neighborhood safety, and availability of recreational facilities on prevalence of physical activity (PA), obesity, and diabetes mellitus (DM). STUDY DESIGN AND SETTING: Multilevel analyses were conducted among 2,848 respondents from the 2007-08 Jamaica Health and Lifestyle Survey. Neighborhood effects were based on aggregated interviewer responses to systematic social observation questions. Mixed-effect logistic regression models were created to assess the relationship between neighborhood indicators and DM and the modifiable risk factors PA and overweight/obesity. RESULTS: There was significant clustering in PA levels of 20 minutes at least once per week (intraclass correlation coefficient [ICC] = 10.7%), low/no PA (ICC = 7.22%), diabetes (ICC = 5.44%), and obesity (ICC = 3.33%) across neighborhoods. Greater levels of neighborhood disorder, home disorder, and counterintuitively recreational space availability were associated with higher levels of low/no PA among women. There was significant interaction by sex between neighborhood infrastructure and overweight/obesity with a significant association in men (odds ratio [OR] = 1.16; 95% confidence interval [CI] = 1.05, 1.28) but not women (OR = 1.01; 95% CI = 0.95, 1.07). CONCLUSION: Differences in PA and obesity-related outcomes among Jamaicans may be partially explained by characteristics of the neighborhood environment and differ by sex. Future studies must be conducted to determine the mechanistic pathways through which the neighborhood environment may impact such outcomes to better inform prevention efforts.
OBJECTIVE: To examine the impact of neighborhood disorder, perceived neighborhood safety, and availability of recreational facilities on prevalence of physical activity (PA), obesity, and diabetes mellitus (DM). STUDY DESIGN AND SETTING: Multilevel analyses were conducted among 2,848 respondents from the 2007-08 Jamaica Health and Lifestyle Survey. Neighborhood effects were based on aggregated interviewer responses to systematic social observation questions. Mixed-effect logistic regression models were created to assess the relationship between neighborhood indicators and DM and the modifiable risk factors PA and overweight/obesity. RESULTS: There was significant clustering in PA levels of 20 minutes at least once per week (intraclass correlation coefficient [ICC] = 10.7%), low/no PA (ICC = 7.22%), diabetes (ICC = 5.44%), and obesity (ICC = 3.33%) across neighborhoods. Greater levels of neighborhood disorder, home disorder, and counterintuitively recreational space availability were associated with higher levels of low/no PA among women. There was significant interaction by sex between neighborhood infrastructure and overweight/obesity with a significant association in men (odds ratio [OR] = 1.16; 95% confidence interval [CI] = 1.05, 1.28) but not women (OR = 1.01; 95% CI = 0.95, 1.07). CONCLUSION: Differences in PA and obesity-related outcomes among Jamaicans may be partially explained by characteristics of the neighborhood environment and differ by sex. Future studies must be conducted to determine the mechanistic pathways through which the neighborhood environment may impact such outcomes to better inform prevention efforts.
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