Sleep duration and body mass index in a rural population.

BACKGROUND: A growing body of epidemiological evidence suggests an association between short sleep duration and obesity. Recently, potential hormonal links have been observed that may account for the relationship. The possible connection between sleep duration and body mass index (BMI) has not been explored in rural populations. Rural populations are of interest because obesity rates are high and lifestyle patterns of nutrition, physical activity, work hours, and sleep may differ from those in urban and suburban populations. We conducted this study to determine whether short sleep duration is related to BMI and obesity in a rural population in southeast Iowa. METHODS: We conducted a cross-sectional analysis of data collected in the Keokuk County Rural Health Cohort Study, 1999-2004. Study participants were from a population-based sample consisting of 990 employed adults in a rural community in southeastern Iowa. The main outcome measure was BMI. Multiple linear regression modeling was used to adjust for potential confounding variables. RESULTS: Self-reported sleep duration on weeknights was negatively correlated (beta = -0.42; 95% confidence interval, -0.77 to -0.07) with higher BMI after adjusting for sex, age, educational achievement, physical job demand, household income, depressive symptoms, marital status, alcohol consumption, and snoring. CONCLUSION: These data support an association between short sleep duration and higher BMI in this rural population, which is consistent with the relationship found in other settings.

Inappropriate medication use as a risk factor for self-reported adverse drug effects in older adults.

OBJECTIVES: To determine the association between inappropriate medication use and self-reported adverse drug effects (ADEs). DESIGN: Prospective cohort study with three annual mailed surveys. SETTING: Population-based sample of Iowa Medicare beneficiaries. PARTICIPANTS: Cohort members (n5626) with established mobility disability and complete pharmacy dispensing records, continuous Medicare eligibility, and survey data. MEASUREMENTS: The number of unique drug ingredients dispensed and inappropriate use were assessed for the year before the ADE survey. Inappropriate medication use was defined according to published criteria: contraindicated drugs for elderly people, drug-disease interactions (constructed from linked Medicare claims), drug-drug interactions, and therapeutic duplications. An ADE was defined from the following question: "In the past 12 months, have you experienced an unwanted effect or side effect of a medication?" RESULTS: Of respondents to the ADE survey, 22.0% reported having experienced an ADE in the past year, and 322 (51.4%) received at least one potential inappropriate medication. Factors associated univariately with ADE self-report were number of medications, number of mobility limitations, any inappropriate medication use, and each of the individual domain appropriateness indicators, as well as number of different domains of inappropriate use. The adjusted odds ratio for developing an ADE was 2.14 (95% confidence interval=1.26-3.65) for those with inappropriate use versus no inappropriate use. CONCLUSION: Efforts to reduce ADEs by reducing medication inappropriateness should be encouraged as a complement to efforts focused on reducing the number of medications prescribed.