Re: "objectively measured sleep characteristics among early-middle-aged adults: the CARDIA study".
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Biomedical subjects
Publications and source records attributed to Lauren Hale.
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Currently across Europe, birth rates are falling and the population is aging. This paper describes these trends and assesses which policies can prevent or mitigate the adverse consequences of these two trends.
Infant and child mortality rates are significantly lower in the Maternal and Child Health-Family Planning (MCH-FP) area of Matlab, Bangladesh, than in a comparison area. The two areas are similar in terms of socioeconomic characteristics, but the MCH-FP area provides better maternal and child health and family planning services, resulting in different reproductive patterns, including lower fertility rates and longer intervals between pregnancies. We use data from the Matlab Demographic Surveillance System for nearly 126,000 singleton live births that occurred between 1982 and 2002 to investigate the extent to which the different reproductive patterns in the MCH-FP area explain why infant and child mortality rates are lower there. Differences in reproductive patterns account for a small portion (up to 20 percent) of the variation in these rates between the MCH-FP and comparison areas, suggesting that the majority of the difference is due to the quality of MCH services.
BACKGROUND: Both marriage and education appear to confer a protective effect on health. Few studies have examined the extent to which both undersleeping and oversleeping explain these relationships. I examined whether marital status, educational background, and other sociodemographic variables are associated with higher-risk sleep durations. METHODS: Over 7000 individuals aged 25-64 collected time-use diary data during a 24-h period. For both weekdays and weekend days, separate multinomial logistic regression models were estimated using three categories of sleep duration as the outcome category. RESULTS: Unmarried individuals are significantly more likely to sleep a short amount on both weekdays and weekends compared to married people. Single people also are significantly more likely to sleep a long amount. People with less than a college education are significantly more likely to sleep both a short amount and a long amount on weekdays relative to the college educated. CONCLUSIONS: High-risk sleep durations (short sleeping and long sleeping) are positively associated with sociodemographic categories associated with poorer health. More research should investigate whether social inequalities in health can be explained in part by variation in sleep duration.