Kevin J. Bennett

Urban-Rural Differences in Overweight Status and Physical Inactivity Among US Children Aged 10-17 Years

CONTEXT Few studies have examined the prevalence of overweight status and physical inactivity among children and adolescents living in rural America. PURPOSE We examined urban and rural differences in the prevalence of overweight status and physical inactivity among US children. METHODS Data were drawn from the 2003 National Survey of Childrens Health, restricted to children aged 10-17 (unweighted N = 47,757). Overweight status was defined as the gender- and age-specific body mass index (BMI) values at or above the 95th percentile. Physical inactivity was defined using parentally reported moderate-to-vigorous intensity leisure-time physical activity lasting for at least 20 minutes/d on less than three days in the past week. The 2003 Urban Influence Codes were used to define rurality. Multiple logistic regression models were used to examine urban/rural differences in overweight status and physical inactivity after adjusting for potential confounders. FINDINGS Overweight status was more prevalent among rural (16.5%) than urban children (14.3%). After adjusting for covariates including physical activity, rural children had higher odds of being overweight than urban children (OR: 1.13; 95% CI: 1.01-1.25). Minorities, children from families with lower socioeconomic status, and children living in the South experienced higher odds of being overweight. More urban children (29.1%) were physically inactive than rural children (25.2%) and this pattern remained after adjusting for covariates (OR: 0.79; 95% CI: 0.73-0.86). CONCLUSIONS The higher prevalence of overweight among rural children, despite modestly higher physical activity levels, calls for further research into effective intervention programs specifically tailored for rural children.

Obesity and Related Health Behaviors Among Urban and Rural Children in the United States: Data from the National Health and Nutrition Examination Survey 2003–2004 and 2005–2006

OBJECTIVE To assess rates of overweight/obesity and related health behaviors among rural and urban children using data from the National Health and Nutrition Examination Survey (NHANES). METHODS Data were drawn from the 2003-2004 and 2005-2006 NHANES surveys regarding demographic characteristics, weight status, dietary behaviors and physical activity behaviors. RESULTS Significantly more rural children were found to be obese than urban children. Health behavior differences to explain this differential obesity rate were primarily not significant, but multivariate analyses indicate that for rural children meeting physical activity recommendations is protective and engaging in more than 2 hr/day of electronic entertainment promotes obesity. CONCLUSIONS There are modifiable health behavior differences between rural and urban children which may account for the significantly higher obesity rates among rural children.

Acculturation, physical activity, and obesity among Hispanic adolescents

Objective. Little is known about how acculturation may influence participation in leisure-time physical activity and obesity among adolescents. The objective of this study was to examine these associations among Hispanic adolescents. Design. Data were drawn from the 2003 National Survey of Childrens Health, restricted to Hispanic adolescents aged 10–17 (n=4704). Acculturation was assessed by proxy measures (generation status and language spoken at home). Adolescents who were not reported to engage in physical activity lasting at least 20 minutes, that was vigorous enough to cause sweating and hard breathing, for at least three days per week were defined as failing to meet physical activity requirements. Obesity was defined as gender and age-specific body mass index values at or above the 95th percentile of the reference population. Multiple logistic regressions were performed to adjust for confounders. Results. Of the Hispanic adolescents studied, 25.2%, 43.8%, and 31.1% were first, second, and third generation or more, respectively. English was the primary language in the home for 42.8% of these adolescents. Compared with adolescents in the third generation, adolescents from immigrant families had higher odds for not obtaining recommended physical activity (first generation: adjusted odds ratio [AOR] = 1.50, 95% conference intervals [CI]: 1.09, 2.05; second generation: AOR = 1.29, 95% CI: 0.99, 1.69). Living in homes where English was not the primary language, vs. English-speaking homes, was also associated with not obtaining recommended physical activity (AOR = 1.36, 95% CI: 1.06, 1.75). The unadjusted prevalence of obesity was higher in homes where English was not the primary language (22.5% vs. 16.1%; p<0.01), but this difference disappeared after adjusting for family socioeconomic status. Generational status was not a significant correlate of obesity. Conclusions. Findings suggest that future public health interventions that aim to increasing physical activity among Hispanic adolescents should be tailored based on generational status and English-language use.

Subdividing the Digital Divide: Differences in Internet Access and Use among Rural Residents with Medical Limitations

Background Access to health care is often contingent upon an individual’s ability to travel for services. Certain groups, such as those with physical limitations and rural residents, have more travel barriers than other groups, reducing their access to services. The use of the Internet may be a way for these groups to seek care or information to support their health care needs. Objective The purpose of this study was to examine Internet use among those whose are, for medical reasons, limited in their ability to travel. We also examined disparities in Internet use by race/ethnicity and rural residence, particularly among persons with medical conditions. Methods We used data from the 2001 National Household Travel Survey (NHTS), a nationally representative sample of US households, to examine Internet use among individuals with medical conditions, rural residents, and minority populations. Internet use was defined as any use within the past 6 months; among users, frequency of use and location of use were explored. Control variables included sociodemographics, family life cycle, employment status, region, and job density in the community. All analyses were weighted to reflect the complex NHTS sampling frame. Results Individuals with medical conditions were far less likely to report Internet use than those without medical conditions (32.6% vs 70.3%, P < .001). Similarly, rural residents were less likely to report Internet access and use than urban residents (59.7% vs 69.4%, P < .001). Nationally, 72.8% of white respondents, versus 65.7% of persons of “other” race, 51.5% of African Americans, and 38.0% of Hispanics reported accessing the Internet (P < .001). In adjusted analyses, persons with medical conditions and minority populations were less likely to report Internet use. Rural-urban differences were no longer significant with demographic and ecological characteristics held constant. Conclusions This analysis confirmed previous findings of a digital divide between urban and rural residents. Internet use and frequency was also lower among those reporting a medical condition than among those without a condition. After we controlled for many factors, however, African Americans and Hispanics were still less likely to use the Internet, and to use it less often, than whites. Policy makers should look for ways to improve the access to, and use of, the Internet among these populations.

Receipt of Cancer Screening Services: Surprising Results for Some Rural Minorities

BACKGROUND Evidence suggests that rural minority populations experience disparities in cancer screening, treatment, and outcomes. It is unknown how race/ethnicity and rurality intersect in these disparities. The purpose of this analysis is to examine the cancer screening rates among minorities in rural areas. METHODS We utilized the 2008 Behavioral Risk Factor Surveillance System (BRFSS) to examine rates of screening for breast, cervical, and colorectal cancer. Bivariate analysis estimated screening rates by rurality and sociodemographics. Multivariate analysis estimated the factors that contributed to the odds of screening. RESULTS Rural residents were less likely to obtain screenings than urban residents. African Americans were more likely to be screened than whites or Hispanics. Race/ethnicity and rurality interacted, showing that African American women continued to be more likely than whites to be screened for breast or cervical cancer, but the odds decreased with rurality. CONCLUSIONS This analysis confirmed previous research which found that rural residents were less likely to obtain cancer screenings than other residents. We further found that the pattern of disparity differed according to race/ethnicity, with African Americans having favorable odds of receipt of service regardless of rurality. These results have the potential to create better targeted interventions to those groups that continue to be underserved.

Nonemergency Medicine-Trained Physician Coverage in Rural Emergency Departments

CONTEXT Rural areas have fewer physicians compared to urban areas, and rural emergency departments often rely on community or contracted providers for staffing. The emergency department workforce is composed of a variety of physician specialties and clinicians. PURPOSE To determine the distribution of emergency department clinicians and the proportion of care they provide across the rural-urban continuum. METHODS Cross-sectional analysis of secondary data. The distribution of clinicians who provide emergency department care by county was determined using the 2003 Area Resource File. The percentage of emergency department care provided by clinician type was determined using 2003 Medicare claims data. Logistic regression analyses assessed the odds of being seen by different clinicians with a patients rurality when presenting to the emergency department. FINDINGS Board-certified emergency physicians provide 75% of all emergency department care, but only 48% for Medicare beneficiaries of the most rural of counties. The bulk of the remainder of emergency department care is largely provided by family physicians and general internists, with the percentage increasing with rurality. The likelihood of being seen by an emergency physician in the emergency department decreases 5-fold as rurality increases, while being seen by a family physician increases 7-fold. CONCLUSION Nonemergency physicians provide a significant portion of emergency department care, particularly in rural areas. Medical specialties must cooperate to ensure the availability of high-quality emergency department care to all Americans regardless of physician specialty.

Obesity among working age adults: The role of county-level persistent poverty in rural disparities

Little research has investigated the relationship between county-level poverty and obesity rates. We examined the factors related to obesity among residents of Rural Persistent Poverty counties, finding that these counties had a larger proportion of obese residents (34.5%) than Other Rural (28.4%) or Urban counties (24.9%). In adjusted analysis, the statistically significant association between persistent poverty and obesity was attenuated. Both individual characteristics (race, age) and county-level food availability and access factors were found to be significantly related to obesity. Improved access to quality food may be beneficial to residents of impoverished areas.

Lower Rehospitalization Rates among Rural Medicare Beneficiaries with Diabetes.

PURPOSE We estimated the 30-day readmission rate of Medicare beneficiaries with diabetes, across levels of rurality. METHODS We merged the 2005 Medicare Chronic Conditions 5% sample data with the 2007 Area Resource File. The study population was delimited to those with diabetes and at least 1 hospitalization in the year. Unadjusted readmission rates were estimated across levels of rurality. Multivariate logistic regression estimated the factors associated with readmissions. FINDINGS Overall, 14.4% had a readmission; this was higher among urban (14.9%) than rural (12.9%) residents. The adjusted odds indicated that remote rural residents were less likely to have a readmission (OR 0.74, 0.57-0.95) than urban residents. Also, those with a 30-day physician follow-up visit were more likely to have a readmission (OR 2.25, 1.96-2.58) than those without a visit. CONCLUSION The factors that contribute to hospital readmissions are complex; our findings indicate that access to follow-up care is highly associated with having a readmission. It is possible that residents of remote rural counties may not receive necessary readmissions due to lower availability of such follow-up care. Policy makers should continue to monitor this apparent disparity to determine the impact of these lower rates on both patients and hospitals alike.

Families at Financial Risk Due to High Ratio of Out-Of-Pocket Health Care Expenditures to Total Income

Introduction. High out-of-pocket expenditures for health care can put individuals and families at financial risk. Several groups, including racial/ethnic minority groups, the uninsured, rural residents, and those in poorer health are at risk for this increased burden. Methods. The analysis utilized 2004-2005 MEPS data. The dependent variables were the out-of-pocket health care spending to total income ratios for total spending, office-based visits, and prescription drugs. Multivariate analyses with instrumental variables controlled for respondent characteristics. Results. Gender, age, rurality, insurance coverage, health status, and health care utilization were all associated with higher out-of-pocket to income ratios. Conclusion. Certain groups, such as women, the elderly, those in poor health, and rural residents, are at a greater financial risk due to their higher out-of-pocket to total income spending ratios. Policymakers must be aware of these increased risks in order to provide adequate resources and targeted interventions to alleviate some of this burden.

Violence and Drug Use in Rural Teens: National Prevalence Estimates From the 2003 Youth Risk Behavior Survey

OBJECTIVES The purpose of this study was to compare national estimates of drug use and exposure to violence between rural and urban teens. METHODS Twenty-eight dependent variables from the 2003 Youth Risk Behavior Survey were used to compare violent activities, victimization, suicidal behavior, tobacco use, alcohol use, and illegal drug use across rural, urban, and suburban teens across the country. RESULTS Overall, rural teens were equally or more likely than both suburban and urban teens to report experiencing many measures of violent behavior, victimization, suicide behaviors, and drug use. Among all teens, nonwhites reported equal or higher rates of violent behavior and victimization than whites, but these associations disappeared within the rural-only population. CONCLUSIONS Rural areas do not appear to provide a strongly protective effect against risk behaviors in teens and may be a risk factor in itself. Community prevention efforts should focus on reaching rural areas and segmenting program content based on need. Where white teens might benefit from an emphasis on preventing tobacco and alcohol use, nonwhite teens would benefit from an emphasis on preventing violence and victimization.