Overweight and obesity among low-income women in rural West Virginia and urban Los Angeles County
| Autor: | Lucas C. Moore, Brenda Robles, Stephanie S. Frost, Tony Kuo, Andrew S. Bradlyn, Carole Harris |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Rural Population
Gerontology Urban Population Epidemiology Cross-sectional study Ethnic group Overweight Body Mass Index 0302 clinical medicine Prevalence 030212 general & internal medicine Young adult 1. No poverty Hispanic or Latino Middle Aged West Virginia Nutrition Surveys Los Angeles Dietary behaviors 3. Good health Female medicine.symptom 0305 other medical science Adult Adolescent Women's health Health Promotion White People Young Adult 03 medical and health sciences Nutrition interventions medicine Humans Obesity Poverty Aged 030505 public health business.industry Public Health Environmental and Occupational Health medicine.disease Black or African American Cross-Sectional Studies Health promotion Population density business Body mass index Demography |
| Zdroj: | Preventive Medicine. 67:S34-S39 |
| ISSN: | 0091-7435 |
| DOI: | 10.1016/j.ypmed.2014.02.016 |
| Popis: | We described the prevalence of overweight and obesity among low-income women in rural West Virginia (WV) and urban Los Angeles County (LA County). Both communities participated in the national Communities Putting Prevention to Work program during 2010–2012. In each community, we completed health assessments on adult women recruited from public-sector clinics serving low-income populations. All participants answered survey questions regarding socio-demographics and diets. In both jurisdictions, we assessed obesity using objectively measured height and weight (calculated BMI). As part of each community case study, we performed multivariable regression analyses to describe the relationships between overweight and obesity and selected covariates (e.g., dietary behaviors). Overweight and obesity were prevalent among low-income women from WV (73%, combined) and LA County (67%, combined). In both communities, race and ethnicity appeared to predict the two conditions; however, the associations were not robust. In LA County, for example, African American and Hispanic women were 1.4 times (95% CI=1.12, 1.81) more likely than white women to be overweight and obese. Collectively, these subpopulation health data served as an important guide for further planning of obesity prevention efforts in both communities. These efforts became a part of the subsequent Community Transformation Grants portfolio. |
| Databáze: | OpenAIRE |
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