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2.
Am J Cardiol ; 123(2): 284-290, 2019 01 15.
Article in English | MEDLINE | ID: mdl-30442363

ABSTRACT

Neighborhood socioeconomic status (nSES) is associated with cardiovascular morbidity and mortality in the general population; however, its effect on high-risk patients with prevalent coronary artery disease (CAD) is unclear. We hypothesized "double jeopardy," whereby the association between nSES and adverse outcomes would be greater in high-risk patients with heart failure (HF) and/or previous myocardial infarction (MI) compared with those without. We followed 3,635 patients (mean age 63.2 years, 42% with HF, 25% with previous MI) with known or suspected CAD over a median of 3.3 years for all-cause death and cardiovascular death or nonfatal MI. Patients were categorized by a composite nSES score, and proportional hazards models were used to determine the association between nSES and outcomes. Cross-product interaction terms for previous MI × nSES and HF × nSES were analyzed. Compared with high nSES patients, low nSES patients had increased risk of all-cause death (hazard ratio [HR] = 1.61; 95% confidence interval [CI] = 1.20, 2.15) and cardiovascular death or MI (subdistribution HR [sHR] = 1.82; 95% CI = 1.30, 2.54). Associations were more pronounced among patients without HF or previous MI. Low nSES patients without HF had a higher risk of all-cause death (HR = 2.27; 95% CI = 1.41, 3.65) compared with those with HF (HR = 1.21; 95% CI = 0.82, 1.77, P interaction = 0.04). Similarly, low nSES patients without previous MI had a higher risk of cardiovascular death or MI (sHR = 2.72; 95% CI = 1.73, 4.28) compared with those with previous MI (sHR = 1.02; 95% CI = 0.58, 1.81, P interaction = 0.02). In conclusion, low nSES was independently associated with all-cause death and cardiovascular death or MI in patients with CAD; however, associations were greater in patients without HF or previous MI compared with those with HF or MI.


Subject(s)
Coronary Artery Disease/mortality , Heart Failure/epidemiology , Mortality , Myocardial Infarction/epidemiology , Residence Characteristics , Social Class , Cohort Studies , Female , Follow-Up Studies , Georgia/epidemiology , Humans , Male , Middle Aged , Proportional Hazards Models
3.
Environ Behav ; 50(9): 1032-1055, 2018 Nov.
Article in English | MEDLINE | ID: mdl-31571678

ABSTRACT

We compared geographic information system (GIS)- and Census-based approaches for measuring the physical and social neighborhood environment at the census tract-level versus and audit approach on associations with body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR). Data were used from the 2012-2014 Women and Their Children's Health (WaTCH) Study (n=940). Generalized linear models were used to obtain odds ratios (ORs) for BMI (≥30 kg/m2), WC (>88 cm), and WHR (>0.85). Using an audit approach, more adverse neighborhood characteristics were associated with a higher odds of WC (OR: 1.10; 95% CI: 1.05, 1.15) and WHR (OR: 1.09; 95% CI: 1.05, 1.14) after adjustment for age, race/ethnicity, income, and oil spill exposure. There were no significant associations between GIS- and Census- based measures with obesity in adjusted models. Quality aspects of the neighborhood environment captured by audits at the individual-level may be more relevant to obesity than physical or social aspects at the census-tract level.

4.
BMJ Open ; 7(7): e014887, 2017 Jul 10.
Article in English | MEDLINE | ID: mdl-28698324

ABSTRACT

PURPOSE: The Deepwater Horizon Oil Spill is the largest marine oil spill in US history. Few studies have evaluated the potential health effects of this spill on the Gulf Coast community. The Women and Their Children's Health (WaTCH) study is a prospective cohort designed to investigate the midterm to long-term physical, mental and behavioural health effects of exposure to the oil spill. PARTICIPANTS: Women were recruited by telephone from pre-existing lists of individuals and households using an address-based sampling frame between 2012 and 2014. Baseline interviews obtained information on oil spill exposure, demographics, physical and mental health, and health behaviours. Women were also asked to provide a household roster, from which a child between 10 and 17 years was randomly selected and recruited into a child substudy. Telephone respondents were invited to participate in a home visit in which blood samples, anthropometrics and neighbourhood characteristics were measured. A follow-up interview was completed between 2014 and 2016. FINDINGS TO DATE: 2852 women completed the baseline interview, 1231 of whom participated in the home visit, and 628 children participated in the child's health substudy. The follow-up interview successfully reinterviewed 2030 women and 454 children. FUTURE PLANS: WaTCH continues to conduct follow-up surveys, with a third wave of interviews planned in 2017. Also, we are looking to enhance the collection of spatially related environmental data to facilitate assessment of health risks in the study population. In addition, opportunities to participate in behavioural interventions for subsets of the cohort have been initiated. There are ongoing studies that examine the relationship between genetic and immunological markers with mental health.


Subject(s)
Child Development , Disasters , Environmental Exposure/adverse effects , Health Status , Petroleum Pollution/adverse effects , Population Surveillance , Adolescent , Adult , Aged , Child , Child Health , Child, Preschool , Disasters/history , Female , History, 21st Century , House Calls , Humans , Interviews as Topic , Louisiana , Male , Mental Health , Middle Aged , Prospective Studies , Research Design , Women's Health , Young Adult
5.
Health Place ; 46: 183-191, 2017 07.
Article in English | MEDLINE | ID: mdl-28544991

ABSTRACT

We investigated whether associations of neighborhood social environment attributes and physical activity differed among 12 countries and levels of economic development using World Bank classification (low/lower-middle-, upper-middle- and high- income countries) among 9-11 year old children (N=6161) from the International Study of Childhood Obesity, Lifestyle, and the Environment (ISCOLE). Collective efficacy and perceived crime were obtained via parental/guardian report. Moderate-to-vigorous physical activity (MVPA) was assessed with waist-worn Actigraph accelerometers. Neighborhood environment by country interactions were tested using multi-level statistical models, adjusted for covariates. Effect estimates were reported by country and pooled estimates calculated across World Bank classifications for economic development using meta-analyses and forest plots. Associations between social environment attributes and MVPA varied among countries and levels of economic development. Associations were more consistent and in the hypothesized directions among countries with higher levels economic development, but less so among countries with lower levels of economic development.


Subject(s)
Exercise , Internationality , Residence Characteristics/statistics & numerical data , Social Environment , Child , Economic Development , Female , Humans , Male , Surveys and Questionnaires
6.
Prev Med Rep ; 4: 248-55, 2016 Dec.
Article in English | MEDLINE | ID: mdl-27635379

ABSTRACT

Although many studies have reported associations between characteristics of the neighborhood environment and obesity, little is understood about the pathways or mechanisms through which these associations operate. The purpose of this study was to examine possible behavioral and stress pathways hypothesized to mediate the association between neighborhood environments and obesity and whether pathways contribute to different obesity outcomes. Cross-sectional data were used from the 2012-2014 Women and Their Children's Health Study (WaTCH) in Louisiana (N = 909). Participants' neighborhoods, body mass index (BMI) and waist circumference (WC) were objectively measured. The causal inference approach to mediation analysis was used to obtain indirect estimates for self-reported measures of physical activity, low access to food, and depression. The mean BMI was 32.0 kg/m(2) and the mean WC was 98.6 cm. The (adverse) neighborhood environment was significantly associated BMI (ß = 0.17 kg/m(2); 95% Confidence Interval (CI): 0.03, 0.31) and WC (ß = 0.64; 95% CI: 0.34, 0.95, after adjusting for covariates. Neither depression, physical activity, nor low food access mediated those associations. Further research that investigates and uses better measures of the behavioral and stress pathways through which the neighborhood environment influences obesity is warranted.

7.
Prev Med ; 61: 1-5, 2014 Apr.
Article in English | MEDLINE | ID: mdl-24378205

ABSTRACT

OBJECTIVE: To examine possible associations between perceived neighborhood environments and obesity among a U.S. nationally representative sample of Afro-Caribbean, African American, and Non-Hispanic white adults. METHODS: Data was used from the 2001-2003 National Survey of American Life (NSAL). All measures including neighborhood characteristics, height, and weight were self-reported. Multivariate logistic regression was used to compute odds ratios (ORs) of obesity (body mass index (BMI) ≥ 30 kg/m(2)) based on perceived neighborhood physical and social characteristics. RESULTS: The odds of obesity were significantly lower for adults who reported involvement in clubs, associations, or help groups (odds ratio (OR): 0.62; 95% confidence interval (CI): 0.44, 0.85) and perceived that they had a park, playground, or open space in their neighborhood (odds ratio (OR): 0.68; 95% confidence interval (CI): 0.47, 0.98). These associations remained significant after adjusting for leisure-time physical activity. Race/ethnicity appeared to modify the association between involvement in clubs, associations, or help groups and obesity. CONCLUSIONS: Providing parks, playgrounds, or open space or increasing the perception of those amenities may assist in the prevention of obesity, especially in ethnically diverse neighborhoods in the United States. More research is needed to investigate how perceptions of the neighborhood environment influence obesity and whether perceptions of the neighborhood environment differ between individuals within the same neighborhoods.


Subject(s)
Black or African American/psychology , Environment Design , Obesity/epidemiology , Residence Characteristics , Social Environment , White People/psychology , Adult , Black or African American/statistics & numerical data , Body Mass Index , Caribbean Region/ethnology , Cross-Cultural Comparison , Cross-Sectional Studies , Epidemiologic Research Design , Exercise/psychology , Female , Health Status Disparities , Health Surveys , Humans , Leisure Activities , Logistic Models , Male , Multivariate Analysis , Obesity/ethnology , Obesity/prevention & control , United States/epidemiology , White People/statistics & numerical data
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