The State Tobacco Activities Tracking and Evaluation (STATE) System is an interactive web-based application and data tool providing up-to-date state-level information related to tobacco use. Indicators in STATE present data related to current and former tobacco use, smoking cessation, funding, tobacco-related health costs, and tobacco control policies. The STATE System also serves as a primary data source for many objectives in Healthy People 2020’s Tobacco Use chapter. Currently, there is no common thread between access to information pertaining to Healthy People 2020 objectives and STATE System data. For this reason, a comprehensive evaluation was conducted of the STATE System’s individual reports and static web-content as it relates to Healthy People 2020 objectives. Implications for research and evaluation are intended to educate the Office on Smoking and Health’s staff & colleagues in the states, networks, and territories on identifiable, cross-promotional opportunities that highlight both state and national data.

Diss. (sammanfattning) Linköping : Univ., 2003. / Härtill 6 uppsatser.

Researchers have noted that 70% of diseases are preventable (Ballard et al., 2007) yet few individuals use preventive services (Wang et al., 2005). The purpose of this study was to examine differences between students who seek preventive services at a university wellness center and those who do not and explore variables that impact readiness for change and health-related behavior. The Wellness Center at Southern Illinois University provides numerous direct services to students, such as alcohol and drug counseling, stress management counseling, nutrition counseling, STD testing, pregnancy counseling, biofeedback, and relationship counseling. Healthy People 2010 is a national initiative, developed by the U.S. Department of Health and Human Services, involving various efforts to promote health and prevent disease in the United States. The developers introduced Leading Health Indicators, which reflect major dimensions of health behavior and factors that affect health. These indicators, including physical activity, overweight and obesity, tobacco use, substance abuse, responsible sexual behavior, mental health, and injury and violence, are used as a guide to examine the health behaviors in college students. Seventy-nine university wellness center clients and 80 participants from the general student population completed a demographic questionnaire that included questions about participants' risky health behaviors, the Perceived Wellness Scale (Adams, Benzer & Steinhardt, 1997), the Attitudes toward Seeking Professional Psychological Help Scale- Short Form (Fischer & Farina, 1995), the Outcome Questionnaire-45.2 (Lambert et al., 1996), and the Stages of Change Scales (McConnaughy, Prochaska, & Velicer, 1983). Participants who used wellness services reported more risky health behaviors and psychological distress than the general sample. Health behaviors from this sample were compared to a national data set (YRBSS; CDC, 2005) and, although differences between specific rates of behavior were found, there was no difference in total risk score. Wellness service users were more likely to be in the contemplation stage, whereas those from the general sample were more likely to be in the action stage. Participants who were actively making a change were more likely to feel less psychological distress and have more perceived wellness than those in the contemplation stage. Participants in the maintenance stage reported having more negative wellness perceptions compared to participants in all other stages.

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Fruit and vegetable (FV) intake continues to decline among sub-population in the United States. Current policies and interventions have aimed to improve intake by improving access to fruits and vegetables. One Centers for Disease Control and Prevention suggested strategy is to improve access to farmers’ markets in rural areas. The aims of this study were to determine if the frequency of shopping at Farmers’ Markets is associated with fruit and vegetable intake, adjusted for age, income and education and to compare rural and non-rural areas frequency of Farmers’ Market attendance based on Kentucky farmers’ market interview participants (n = 102). The results of the descriptive, cross-sectional study determined that the Kentucky farmers’ market customers Fruit and Vegetable Score was positively associated with frequency of purchase of locally grown fruits and vegetables at farmers’ markets. However, the frequency of farmers’ market attendance was most commonly limited to ‘once a week’ (as a result of participants attending ‘Only attends market when need something’). It was concluded that alleviating the barriers customers face to use farmers’ markets is the best way to increase the attendance of farmers’ markets and as a result increase the purchases of fresh fruits and vegetables.

Personal lifestyle and behavior are associated with the 10 leading causes of death for Americans. Motor vehicle crashes kill more than 40,000 people and injure more than 3 million people annually in the United States, representing one of America's most serious health and economic problems. According to the National Highway Traffic Safety Administration (NHTSA), someone in America is injured in a motor vehicle crash every 14 seconds and someone is killed every 12 minutes (as cited in Ad Council, 2003). It is widely accepted that increased use of safety belts and reductions in driving while impaired are two of the most effective means to reduce the risk of death and serious injury of occupants in motor vehicle crashes. The Centers for Disease Control and Prevention (CDC) and NHTSA monitor the use of seat belts by surveying the population. The CDC annually conducts a telephone survey called the Behavioral Risk Factor Surveillance System (BRFSS). The NHTSA conducts an observational survey called the National Occupant Protection Use Survey (NOPUS). The purpose of this study was to examine three questions when estimating safety belt use in the United States: (1) Does the BRFSS differ from NOPUS? (2) Is there regional variation in the differences between BRFSS and NOPUS? (3) Do BRFSS and NOPUS data differ significantly depending on whether the safety belt law is primary, secondary, or none? In this study, the two surveys were compared. Three research hypotheses were tested in the null format at the .05 level of significance using a two-tailed test. The z test was used to determine the difference in the nominal data of the two independent proportions. The results of the study revealed that there is a difference between the self-reported BRFSS survey and the NOPUS observational data.

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