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Abstract Introduction Although per capita crime has generally fallen over the period which coincides with the obesity epidemic, it has not fallen uniformly across communities. It also has not fallen enough to allay fears on the part of parents. Over the past 30 years, technological changes have made the indoor alternatives to playing outside, where children are more vulnerable to criminal activity, more enjoyable (cable TV, video games, and the internet) and comfortable (the spread of air conditioning to low income neighborhoods). We determined whether indoor sedentary behavior patterns are associated with community crime statistics. 4th graders in the U.S. are typically 9 or 10 years old. Methods We used data from the 2004–2005 Texas School Physical Activity and Nutrition (SPAN) survey linked with U.S. Department of Justice, Office of Justice Programs, Bureau of Justice Statistics data for the years 2000 through 2005 and Texas State data on sexual offenders. The probability-based sample included a total of 7,907 children in grade four. Multistage probability sampling weights were used. The dependent variables included were hours of TV watching, video game playing, computer use and total indoor sedentary behavior after school. Incremental Relative Rates were computed for community crime rates including robberies, all violent crimes, murders, assaults, property crimes, rapes, burglaries, larcenies and motor vehicle thefts as well as for sexual offenders living in the neighborhood. The neighborhood refers to the areas where the students at each school live. In the case of sexual offenders, sexual offenders per capita are estimated using the per capita rate in the zip code of the school attended; all other crime statistics are estimated by the crimes per capita in the police department jurisdiction covering the school attended. After controlling for sex, age, and African-American and Hispanic, cross-sectional associations were determined using multivariate Poisson regression. Results 4th grade boys were more likely to play video games in communities with increased per 100 population rates of larceny and burglary as well as in communities with increased per capita sexual offenders; 4th grade girls were more likely to watch television in communities with increased per capita sexual offenders. While 4th grade girls were more likely to watch TV in communities with increased per capita sex offenders, they were less likely to use computers. Per capita sexual offenders were negatively related to computer use amongst 4th grade girls. Conclusion By combining community crime and cross-sectional individual level data on indoor sedentary behavior, we found that there is an association between community crimes/sex offender rates and certain types of indoor sedentary behavior. The development of technologies in recent decades which makes supervising children easier indoors, where children are much less vulnerable to crime, may be contributing to the epidemic of childhood obesity.

Objectives: To investigate whether smoking prevalence in grade-level networks influences individual smoking, suggesting that peers are important social multipliers in teen smoking. Methods: We measured gender-specific, grade-level recent and life-time smoking among urban middle-school students who participated in Project Northland Chicago in a longitudinal cohort design. Results: Within schools, grade-level recent smoking had comparable effects on girls' and boys' individual-level smoking. Grade-level lifetime smoking had a greater effect on girls' smoking. Conclusion: Interventions can target middle school classes and schools broadly, without making the identification of friendship networks a concern.

Objectives. We examined disparities in health care use among US--Mexico border residents, with a focus on the unique binational environment of the region, to determine factors that may influence health care use in Mexico. Methods. Data were from 2 waves of a population-based study of 1048 Latino residents of selected Texas border counties. Logistic regression models examined predictors of health insurance coverage. Results from these models were used to examine regional patterns of health care use. Results. Of the respondents younger than 65 years, 60% reported no health insurance coverage. The uninsured were 7 and 3 times more likely in waves 3 and 4, respectively, to use medical care in Mexico than were the insured. Preference for medical care in Mexico was an important predictor. Conclusions. For those who were chronically ill, old, poor, or burdened by the lengthy processing of their documents by immigration authorities, the United States provided the only source of health care. For some, Mexico may lessen the burden at the individual level, but it does not lessen the aggregate burden of providing highly priced care to the region's neediest. Health disparities will continue unless policies are enacted to expand health care accessibility in the region.

Logistic regression models were used to examine the impact of physician demand for leisure on both planned and unplanned cesarean section rates. The sample of 100 births from Oct. 1992 to Sep. 1993 was gathered by the Forensic Medical Advisory Service. Results showed that, although nature uniformly distributes births and related problems, time-dependent dummy variables associated with leisure affect both total and unplanned c-sections.

Objective: To investigate which points of the middle-school drinking distribu­tion are the most influential in the so­cial contagion of drinking across the middle-school years, in order to identify potential social multipliers. Methods: We measured drinking intentions and behaviors by gender, school, and grade among urban middle-school students who participated in Project Northland Chicago in a longitudinal cohort design. Results: Individual drinking behaviors were consistently influenced by extreme (80th percentile) drinking intentions and behaviors. This effect was mediat­ed through normal or average levels of drinking, over time. Conclusions: Inter­ventions can target extreme drinkers as the influential persons in middle-school grades. [ABSTRACT FROM AUTHOR]

Background: Past research examining the effects of childhood obesity has largely focused on its projected effects into adulthood. However, there is emerging evidence that childhood obesity may have more immediate effects on school-related outcomes. We examine a range of educational attainment indicators to examine the possible pathway between obesity status and academic performance, while investigating the proximal effects of childhood obesity on health and utilization of health services, and whether these variables attenuate the relationship between obesity status and educational outcomes., Methods: Data for the current study come from the 2011-2012 National Survey of Children’s Health, which details the impacts of childhood obesity on a range of outcomes among a nationally representative sample of children and adolescents aged 10-17 years (N=45,255). Educational outcomes (school absences, school problems, repeating a grade and school engagement) were modeled by logistic regression as a function of BMI, overall health status, health care utilization, and a range of sociodemographic variables., Results: BMI status was significantly associated with all educational outcomes (p<0.001 for all), overall health status (p<0.001), and health care utilization (p=0.016). Prior to adjustment for covariates, obese children were significantly more likely to have school absences and school problems, to repeat a grade, and to have lower school engagement than non-overweight children. After adjustment for sociodemographic and health/healthcare variables, these outcomes remained significant for all but repeating a grade. The odds of having school problems, repeating a grade, and low school engagement that were associated with obesity were attenuated by the addition of sociodemographic variables into the model, while the addition of health and health care variables in the model decreased the odds of school absences., Conclusions: This study provides evidence that increased weight status in children is associated with poorer educational outcomes. While recognizing that these are cross-sectional data, we suggest that 1) health-related and sociodemographic factors should be a focus point of intervention, and 2) a socio-structural approach including Coordinated School Health intervention is crucial to reducing childhood obesity and improving educational outcomes in this population.

This paper examines whether delivery practice patterns (Cesarean sections or vaginal) are influenced by lawsuits or whether the hypothesized relationship is confounded by small area variation. The analysis uses multilevel analysis to deal with hospital- and Dartmouth Hospital Referral Region-level variation. The model includes patient clinical variables, patient socio-economic status, and hospital characteristics as control variables. The secondary data sources include hospital discharges from the 2002 Texas Health Care Information Council as well as 1988-2001 Texas Department of Insurance Closed Claim File data. After extracting the variation in delivery practice between hospitals and between Dartmouth Hospital Referral Regions in a multilevel model, the effects of lawsuits on defensive medicine are reduced but are still significant.

Diabetes has been shown to have a detrimental impact on employment and labor market productivity, which results in lost work days and higher mortality/disability. This study utilizes data from the Border Epidemiologic Study on Aging to analyze the endogeneity of diabetes in an employment model. We use family history of diabetes as genetic instrumental variables. We show that assuming that diabetes is an exogenous variable results in an overestimate (underestimate) of the negative impact of diabetes on female (male) employment. Our results are particularly relevant in the case of populations where genetic predisposition has an important role in the etiology of diabetes., (Copyright 2004 John Wiley & Sons, Ltd)

By focusing exclusively on consumer benefit, previous studies of the effects of managed care have ignored important hospital efficiency gains. This study uses the HCUP sample of hospitals for 1992-1996 to estimate a stochastic frontier model of hospital technical efficiency. After controlling for hospital and market area variables, the study finds strong evidence that increased managed care insurance in a given market is associated with improved technical efficiency in the area's hospitals, especially in tertiary cases. Using Battese and Coelli's one-stage method (1995), the coefficients estimates are more efficient than for two-stage methods found in the literature., (Copyright 2002 John Wiley & Sons, Ltd.)