We surveyed the U.S. non-institutionalized population age 18+ on opinions regarding 23 alcohol control policies (N = 7,021). The cooperation rate among contacted households was 70% and the overall response rate was 54%. Results showed high levels of public support for most alcohol control policies. Over 80% support restrictions on alcohol use in public places, such as parks, beaches, concert venues, and on college campuses. Eighty-two percent support increased alcohol taxes, provided the funds are used for treatment or prevention programs. Over 60% support alcohol advertising and promotion restrictions, such as banning billboard advertising, banning promotion at sporting events, or banning liquor and beer advertising on television. Multivariate regression analyses indicated significant relationships between alcohol policy opinions and a variety of sociodemographic, political orientation, and behavioral measures. However, the absolute differences in alcohol policy support across groups is small. There is a strong base of support for alcohol control policies in the U.S., and such support is found among whites and ethnics of color, young and old, rich and poor, and conservatives, moderates, and liberals.
Expanding consumer choice of plans is beneficial only to the extent that consumers make informed choices. Using data from the 1996-97 Community Tracking Study (CTS), this study compares consumers' responses on four key attributes of their health plan with information provided directly by the plan. Plan attributes relate to choice of providers and access to specialists. Although the accuracy of reporting some individual attributes was fairly high, fewer than one-third of consumers accurately reported all four health plan attributes. In general, consumers tended to overreport plan restrictions, especially the need for approval to see specialists.
Standardized exclusive breastfeeding rates pointed to the contribution of population demographics to breastfeeding initiation, and other contributions, including hospital practices, are also important. To protect, promote, and support breastfeeding, a more detailed evidence base on hospital policies and practices should be developed, and hospitals should review their policies and practices in light of documented best breastfeeding practice.
Reports by the Institute of Medicine (IOM) recommend that gestational weight gain goals should be modified according to prepregnancy body mass index (BMI), which could result in better maternal and infant outcomes. The authors assessed whether the risk of the pregnancy outcomes such as rate of cesarean section to primiparous and multiparous women, macrosomia, and breastfeeding at 10 weeks postpartum can be modified by following the IOM guidelines for gestational weight gain irrespective of prepregnancy BMI. Staff from the New Jersey Pregnancy Risk Assessment Monitoring System interviewed a sample of women who delivered live births in New Jersey during 2002 through 2005 (n = 7661). In New Jersey, 18% of mothers were obese, 13% were overweight, and 16% were underweight. In logistic regression analyses, after controlling for maternal characteristics, the effect of prepregnancy obesity and weight gain more than 34 lb independently and significantly increased the risk of all four adverse outcomes. For no outcomes was the 25- to 34-pound weight gain category significantly distinguishable from the 16- to 24-pound reference category. These results strongly support the idea that the IOM weight gain recommendation (education during preconception regarding the importance of optimal BMI at the start of pregnancy) will help to achieve better pregnancy outcomes in obese and overweight women.
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