Tatiana Andreyeva

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OBJECTIVE To analyze health care use and expenditures associated with varying degrees of obesity for a nationally representative sample of individuals 54 to 69 years old. RESEARCH METHODS AND PROCEDURES Data from the Health and Retirement Study, a nationwide biennial longitudinal survey of Americans in their 50s, were used to estimate multivariate(More)
Objective:Limited data are available on the prevalence and patterns of body weight discrimination from representative samples. This study examined experiences of weight/height discrimination in a nationally representative sample of US adults and compared their prevalence and patterns with discrimination experiences based on race and gender.Method and(More)
OBJECTIVE It is widely believed that only a minority of vulnerable children and adolescents receive any mental health services. Although health care disparities associated with sociodemographic characteristics are well known, almost no information exists about another potentially important source of disparity for children: How does state of residence affect(More)
To determine the effect of prices and regulations on youth cigar demand, we estimated logistic regression models of the probability of current cigar smoking among students in grades 6 to 12 with data from the 1999 and 2000 waves of the National Youth Tobacco Survey. We found that youth cigar demand is sensitive to price but not state tobacco-control(More)
Are older Americans becoming more or less disabled? Unhealthy body weight has increased dramatically, but other data show that disability rates have declined. We use data from the Health and Retirement Study to estimate the association between obesity and disability, and we combine these data with trend estimates of obesity rates from the Behavioral Risk(More)
BACKGROUND Physical activity has clear health benefits but there remains uncertainty about how it affects health care costs. OBJECTIVE To examine how physical activity is associated with changes in health expenditure for a national sample age 54 to 69 y, and estimate how this association varies across people with different chronic diseases and health(More)
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