Purpose
Rural residents have higher rates of chronic diseases compared to their urban counterparts, and obesity may be a major contributor to this disparity. This study is the first analysis of obesity prevalence in rural and urban adults using body mass index classification with measured height and weight. In addition, demographic, diet, and physical activity correlates of obesity across rural and urban residence are examined.
Methods
Analysis of body mass index (BMI), diet, and physical activity from 7,325 urban and 1,490 rural adults in the 2005–2008 National Health and Nutrition Examination Survey (NHANES).
Findings
The obesity prevalence was 39.6% (SE = 1.5) among rural adults compared to 33.4% (SE = 1.1) among urban adults (P = .006). Prevalence of obesity remained significantly higher among rural compared to urban adults controlling for demographic, diet, and physical activity variables (odds ratio = 1.18, P = .03). Race/ethnicity and percent kcal from fat were significant correlates of obesity among both rural and urban adults. Being married was associated with obesity only among rural residents, whereas older age, less education, and being inactive was associated with obesity only among urban residents.
Conclusions
Obesity is markedly higher among adults from rural versus urban areas of the United States, with estimates that are much higher than the rates suggested by studies with self-reported data. Obesity deserves greater attention in rural America.
Obese breast cancer survivors have increased risk of recurrence and death compared to their normal weight counterparts. Rural women have significantly higher obesity rates, thus weight control intervention may be a key strategy for prevention of breast cancer recurrence in this population. This one arm treatment study examined the impact of a group-based weight control intervention delivered through conference call technology to obese breast cancer survivors living in remote rural locations. The intervention included a reduced calorie diet incorporating prepackaged entrees and shakes, physical activity gradually increased to 225 min/week of moderate intensity exercise, and weekly group phone sessions. Outcomes included anthropomorphic, diet, physical activity, serum biomarker, and quality of life changes. Ninety-one percent of participants (31 of 34) attended > 75% of intervention sessions and completed post-treatment data collection visits. At 6 months, significant changes were observed for weight (-12.5 ± 5.8 kg, 13.9% of baseline weight), waist circumference (-9.4 ± 6.3 cm), daily energy intake (-349 ± 550 kcal/day), fruits and vegetables (+3.7 ± 4.3 servings/day), percent kcal from fat (-12.6 ± 8.6%), physical activity (+1235 ± 832 kcal/week; all p’s < .001), as well as significant reductions in fasting insulin (16.7% reduction, p = .006) and leptin (37.1% reduction, p < .001). Significant improvements were also seen for quality of life domains including mood, body image, and sexuality. In conclusion, the intervention produced > 10% weight loss as well as significant improvements across multiple endpoints. The group phone-based treatment delivery approach may help disseminate effective weight control intervention to hard-to-reach breast cancer survivors.
There are modifiable health behavior differences between rural and urban children which may account for the significantly higher obesity rates among rural children.
Compared to other racial/ethnic groups, African American (AA) women are more likely to be obese but less likely to participate in weight loss interventions or to successfully lose weight. Sustained motivation for weight loss may be especially difficult for AA women due to socioeconomic and cultural factors. The purpose of this study was to examine whether the addition of motivational interviewing (MI) to a culturally-targeted behavioral weight loss program for AA women improved adherence to the program, diet and physical activity behaviors, and weight loss outcomes. Forty-four obese (mean BMI = 39.4, SD = 7.1) AA women were randomized to receive a 16-week behavioral weight loss program plus four MI sessions, or the same behavioral weight loss program plus four health education (HE; attention control) sessions. Results showed that participants in both MI and HE conditions lost a significant amount of weight, reduced their energy intake and percent calories from fat, and increased their fruit and vegetable consumption (ps < .05). However, adherence to the behavioral weight loss program and changes in diet, physical activity, and weight did not differ across MI and HE conditions. Future research is warranted to determine the subpopulations with which MI is most effective.
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