An examination of US pet owners' use of veterinary services, 2006-2018.

OBJECTIVES: Examine US consumer pet-related and veterinary service expenditures and factors influencing US households' use of veterinary services. METHODS: Descriptive analysis on pet-related and veterinary service expenditures and regression analysis on pet owners' use of veterinary services, using data from the US Bureau of Labor Statistics Consumer Expenditure from 2006 to 2018, with the sample size of 257,836 households, of which 73,593 had pet expenses. RESULTS: From 1980 to 2018, the proportion of households with pet-related and veterinary service expenditures increased. Since 2010, the percentage of pet-owning households using veterinary services has increased substantially. Household characteristics were examined and significantly affected the probability of both pet and veterinary expenditures. Non-White and Hispanic groups had increased pet ownership, but the likelihood of veterinary service use has not surpassed White and non-Hispanic pet owners. CONCLUSIONS: Understanding the effects of household sociodemographics, particularly race and ethnicity, on using veterinary services provides insights for optimizing strategic planning for the pet industry and veterinarians. Reviewing the implications helps adjust and fine-tune strategies and influence the sustainability of the veterinary service sector by attracting different racial and ethnic groups. Future research might focus on other social and cultural factors influencing the utilization of veterinary care. The veterinary service sector can then effectively address pet care disparities, bridge existing gaps and improve economic viability.

Altruism, efficiency, and health in the family.

PURPOSE: The chapter investigates: (1) Do married parents efficiently allocate time to children's health care? (2) Are parents willing to sacrifice consumption for health improvements at an equal rate for all family members? (3) How does family structure affect health trade-offs parents make? (4) Are parental choices consistent with maximization of a single utility function? METHODOLOGY: A model is specified focusing on how parents allocate resources between consumption and goods that relieve acute illnesses for family members. Equivalent surplus functions measuring parental willingness to pay to relieve acute illnesses are estimated using data from a stated-preference survey. FINDINGS: Results provide limited support for the prediction that married parents allocate time to child health care according to comparative advantage. Valuations of avoided illness vary between family members and are inconsistent with the hypothesis that fathers' and mothers' choices reflect a common utility function. RESEARCH IMPLICATIONS: Prior research on children's health valuation has relied on a unitary framework that is rejected here. Valuation researchers have focused on allocation of resources between parents and children while ignoring allocation of resources among children, whereas results suggest significant heterogeneity in valuation of health of different types of children and of children in different types of households. SOCIAL IMPLICATIONS: Results may provide a justification on efficiency grounds for policies to provide special protection for children's health and suggest that benefit-cost analyses of policies affecting health should include separate estimates of the benefits of health improvements for children and adults.

The built environment and obesity among low-income preschool children.

In spite of the evidence that adult obesity is influenced by environmental factors, the influence of the environment on childhood obesity remains under-investigated. This paper examines the association of the built environment with the prevalence of obesity in low-income preschool children. Built environment indicators include measures relating to food choice and physical activity. The relationship of the environment with childhood obesity is further stratified by urban-rural location. Overall, the built environment is associated with the prevalence of obesity in low-income preschool children, although the impact of the environment is affected by urban-rural status. Results imply broad-scope for community-level interventions.

Obesity and diabetes, the built environment, and the 'local' food economy in the United States, 2007.

Obesity and diabetes are increasingly attributed to environmental factors, however, little attention has been paid to the influence of the 'local' food economy. This paper examines the association of measures relating to the built environment and 'local' agriculture with U.S. county-level prevalence of obesity and diabetes. Key indicators of the 'local' food economy include the density of farmers' markets and the presence of farms with direct sales. This paper employs a robust regression estimator to account for non-normality of the data and to accommodate outliers. Overall, the built environment is associated with the prevalence of obesity and diabetes and a strong local' food economy may play an important role in prevention. Results imply considerable scope for community-level interventions.

Effects of beverage alcohol price and tax levels on drinking: a meta-analysis of 1003 estimates from 112 studies.

AIMS: We conducted a systematic review of studies examining relationships between measures of beverage alcohol tax or price levels and alcohol sales or self-reported drinking. A total of 112 studies of alcohol tax or price effects were found, containing 1003 estimates of the tax/price-consumption relationship. DESIGN: Studies included analyses of alternative outcome measures, varying subgroups of the population, several statistical models, and using different units of analysis. Multiple estimates were coded from each study, along with numerous study characteristics. Using reported estimates, standard errors, t-ratios, sample sizes and other statistics, we calculated the partial correlation for the relationship between alcohol price or tax and sales or drinking measures for each major model or subgroup reported within each study. Random-effects models were used to combine studies for inverse variance weighted overall estimates of the magnitude and significance of the relationship between alcohol tax/price and drinking. FINDINGS: Simple means of reported elasticities are -0.46 for beer, -0.69 for wine and -0.80 for spirits. Meta-analytical results document the highly significant relationships (P < 0.001) between alcohol tax or price measures and indices of sales or consumption of alcohol (aggregate-level r = -0.17 for beer, -0.30 for wine, -0.29 for spirits and -0.44 for total alcohol). Price/tax also affects heavy drinking significantly (mean reported elasticity = -0.28, individual-level r = -0.01, P < 0.01), but the magnitude of effect is smaller than effects on overall drinking. CONCLUSIONS: A large literature establishes that beverage alcohol prices and taxes are related inversely to drinking. Effects are large compared to other prevention policies and programs. Public policies that raise prices of alcohol are an effective means to reduce drinking.