Abstract

Objectives. We assessed the potential health and economic benefits of reducing common risk factors in older Americans.
Methods. A dynamic simulation model tracked a national cohort of persons 51 and 52 years of age to project their health and medical spending in prevention scenarios for diabetes, hypertension, obesity, and smoking.
Results. The gain in life span from successful treatment of a person aged 51 or 52 years for obesity would be 0.85 years; for hypertension, 2.05 years; and for diabetes, 3.17 years. A 51- or 52-year-old person who quit smoking would gain 3.44 years. Despite living longer, those successfully treated for obesity, hypertension, or diabetes would have lower lifetime medical spending, exclusive of prevention costs. Smoking cessation would lead to increased lifetime spending. We used traditional valuations for a life-year to calculate that successful treatments would be worth, per capita, $198018 (diabetes), $137964 (hypertension), $118946 (smoking), and $51750 (obesity).
Conclusions. Effective prevention could substantially improve the health of older Americans, and—despite increases in longevity—such benefits could be achieved with little or no additional lifetime medical spending.

BACKGROUND: The burden of hypertension and related health care needs among Mexican Americans will likely increase substantially in the near future.

OBJECTIVES: In a nationally representative sample of U.S. Mexican American adults we examined: 1) the full range of blood pressure categories, from normal to severe; 2) predictors of hypertension awareness, treatment and control and; 3) prevalence of comorbidities among those with hypertension.

DESIGN: Cross-sectional analysis of pooled data from the National Health and Nutrition Examination Surveys (NHANES), 1999-2004. PARTICIPANTS: The group of participants encompassed 1,359 Mexican American women and 1,421 Mexican American men, aged 25-84 years, who underwent a standardized physical examination.

MEASUREMENTS: Physiologic measures of blood pressure, body mass index, and diabetes. Questionnaire assessment of blood pressure awareness and treatment.

RESULTS: Prevalence of Stage 1 hypertension was low and similar between women and men ( approximately 10%). Among hypertensives, awareness and treatment were suboptimal, particularly among younger adults (65% unaware, 71% untreated) and those without health insurance (51% unaware, 62% untreated). Among treated hypertensives, control was suboptimal for 56%; of these, 23% had stage >/=2 hypertension. Clustering of CVD risk factors was common; among hypertensive adults, 51% of women and 55% of men were also overweight or obese; 24% of women and 23% of men had all three chronic conditions-hypertension, overweight/obesity and diabetes.

CONCLUSION: Management of hypertension in Mexican American adults fails at multiple critical points along an optimal treatment pathway. Tailored strategies to improve hypertension awareness, treatment and control rates must be a public health priority.

Estimating the potential health benefits and expenditures of a partially effective HIV vaccine is an important consideration in the debate about whether HIV vaccine research should continue. We developed an epidemic model to estimate HIV prevalence, new infections, and the cost-effectiveness of vaccination strategies in the U.S. Vaccines with modest efficacy could prevent 300,000-700,000 HIV infections and save $30 billion in healthcare expenditures over 20 years. Targeted vaccination of high-risk individuals is economically efficient, but difficulty in reaching these groups may mitigate these benefits. Universal vaccination is cost-effective for vaccines with 50% efficacy and price similar to other infectious disease vaccines.

The prevalence of obesity has been rising dramatically in the U.S., leading to poor health and rising health care expenditures. The role of policy in addressing rising rates of obesity, however, is controversial. Policy recommendations for interventions intended to influence body weight decisions often assume the obesity creates negative externalities for the non-obese. We build on earlier work demonstrating that this argument depends on two important assumptions:

1. that the obese do not pay for their higher medical expenditures through differential payments for health care and health insurance, and
   
2. that body weight decisions are responsive to the incidence of medical care costs associated with obesity.
   

In this paper, we test the latter proposition – that body weight is influenced by insurance coverage - using two approaches. First, we use data from the Rand Health Insurance Experiment, in which people were randomly assigned to varying levels of health insurance, to examine the effect of generosity of insurance coverage on body weight along the intensive coverage margin. Second, we use instrumental variables methods to estimate the effect of type of insurance coverage (private, public and none) on body weight along the extensive margin. We explicitly address the discrete nature of the endogenous indicator of health insurance coverage by estimating a nonlinear instrumental variables model. We find weak evidence that more generous insurance coverage increases body mass index. We find stronger evidence that being insured increases body mass index and obesity.

Objective: The study examined the influence of parent involvement and family factors on body mass index (BMI) change in a pediatric obesity treatment program.

Methods: A total of 104 children and their caregivers were examined during a 12-week obesity intervention. Participants (mean age = 11.42 years; SD = 2.83) and their caregivers completed measures of family environment and depression prior to enrollment. Children's BMI and parental involvement were rated weekly during the intervention. Logistic regressions were conducted to examine the role of sociodemographic factors, family characteristics, and parent involvement on weight.

Results: Children with the lowest parent involvement were less likely to lose any weight or have clinically significant (>/=2 kg) weight loss. Demographics and family factors did not predict BMI change. Parent involvement related to ethnicity, absences and physical activity.

Conclusions: Parental involvement may be helpful in identifying who is likely to do well in a weight loss program.

Who pays the healthcare costs associated with obesity? Among workers, this is largely a question of the incidence of the costs of employer-sponsored coverage. Using data from the National Longitudinal Survey of Youth and the Medical Expenditure Panel Survey, we find that the incremental healthcare costs associated with obesity are passed on to obese workers with employer-sponsored health insurance in the form of lower cash wages. Obese workers without employer-sponsored insurance do not have a wage offset relative to their non-obese counterparts. A substantial part of the lower wages among obese women attributed to labor market discrimination can be explained by their higher health insurance premiums.