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.

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.

Nationally representative data on the quality of care for obese patients in US-ambulatory care settings are limited. We conducted a cross-sectional analysis of the 2005 and 2006 National Ambulatory Medical Care Survey (NAMCS). We examined obesity screening, diagnosis, and counseling during adult visits and associations with patient and provider characteristics. We also assessed performance on 15 previously published ambulatory quality indicators for obese vs. normal/overweight patients. Nearly 50% (95% confidence interval (CI): 46–54%) of visits lacked complete height and weight data needed to screen for obesity using BMI. Of visits by patients with clinical obesity (BMI ≥30.0 kg/m²), 70% (66–74%) were not diagnosed and 63% (59–68%) received no counseling for diet, exercise, or weight reduction. The percentage of visits not being screened (48%), diagnosed (66%), or counseled (54%) for obesity was also notably higher than expected even for patients with known obesity comorbidities. Performance (defined as the percentage of applicable visits receiving appropriate care) on the quality indicators was suboptimal overall. In particular, performance was no better than 50% for eight quality indicators, which are all related to the prevention and treatment of obesity comorbidities, e.g., coronary artery disease, hypertension, hyperlipidemia, asthma, and depression. Performance did not differ by weight status for any of the 15 quality indicators; however, poorer performance was consistently associated with lack of height and weight measurements. In conclusion, many opportunities are missed for obesity screening and diagnosis, as well as for the prevention and treatment of obesity comorbidities, in office-based practices across the United States, regardless of patient and provider characteristics.

The rising U.S. obesity prevalence has disproportionately affected minority children. Previous studies have reported that among African American U.S.-born participants, those with foreign-born parents were significantly less likely to be obese than individuals with U.S.-born parents. Little is known about the children of Hispanic immigrants from Central and South America, and among 2-5 year olds in particular. The current study examined demographic characteristics of 307 children ages 2-5 year olds who participated in a randomized controlled obesity prevention intervention trial in 8 childcare centers in Miami, Florida. Anthropometric data collected included weight, height, waist circumference and body mass index (BMI). Overweight was defined as > 95th %ile for age and at- risk-for-overweight was defined as > 85th to <95th percentile, based on the Centers for Disease Control and Prevention (CDC) guidelines. Obese children were significantly more likely to be born in the US than another country (P<0.0001). Girls were equally as likely as boys to be overweight; 31% of the sample has a BMI percentile > 85th %ile. Children of Central American immigrants were significantly more likely than their Cuban or Caribbean immigrant parent counterparts to be obese (p< 0.01). Obesity prevention interventions need to target children as young as preschool age and should be tailored to the child’s ethnic background, particularly if the child was born in the US and the parents were not.

The main aim of this paper is to describe and estimate a new decomposition of disability trends among working age populations into two parts -- the part of the trend explained by changes in the prevalence of chronic disease and obesity and the part of the trend explained by changes in the prevalence of disability among people with chronic diseases. If most of the changes in disability in this population are due to change in chronic disease prevalence, then there is little room for statutory incentives as an explanation for ADL disability trends. More importantly, such a result would suggest that recent changes in disability in this population are permanent for the affected age cohorts. If this cohort survives to old age, the use of medical care by this group will place great demands on Medicare financing.

On the other hand, if an increase in disability prevalence among those with chronic disease is the explanation, then there arise two possibilities: that chronic diseases have become more severe over time, or that the incidence of even ADL-style disabilities are dependent on cultural, social, and economic determinants such as the disability insurance payments. Such a result would suggest that the increases in ADL disability seen among working age populations might not be permanent.