20 research outputs found

    Changes in Youth Cigarette Use Following the Dismantling of an Antitobacco Media Campaign in Florida

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    We examined the association of the termination of a successful youth-targeted antitobacco media campaign ("truth") and changes in smoking rates among youths aged 12-17 years in Florida. Six telephone-based surveys were completed during the active media campaign (1998-2001), and 2 postcampaign surveys were completed in 2004 and 2006 (each n ~1,800). Prevalence of current smoking among youth observed during the campaign continued to decrease in the first postcampaign survey; however, by the second follow-up survey, youth smoking rates had increased significantly for youth aged 16 years or older. Our findings support the need for consistent antitobacco messaging to reduce the prevalence of youth smoking

    Role modeling as an early childhood obesity prevention strategy: effect of parents and teachers on preschool children's healthy lifestyle habits

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    To assess the effectiveness of a child care center-based parent and teacher healthy lifestyle role-modeling program on child nutrition and physical activity outcomes. Child care centers (N = 28) serving low-income families were randomized to intervention or control arms. Intervention centers (N = 12) implemented (1) menu modifications, (2) a child's healthy lifestyle curriculum, and (3) an adult (teacher- and parent-focused) healthy lifestyle role-modeling curriculum. Control centers (N = 16) received an attention control safety curriculum. Nutrition and physical activity data were collected at the beginning (T1) and at the end (T2) of the school year. Exploratory factor analysis identified positive and negative nutrition and physical activity practices by children, parents, and teachers. Intervention parents' baseline (β = .52, p < .0001) and school year consumption (β = .47, p < .0001) of fruits/vegetables significantly increased their children's consumption of fruits/vegetables from T1 to T2. Intervention parents significantly influenced a decrease in children's junk food consumption (β = -.04, p < .05), whereas control parents significantly influenced an increase in their children's junk food consumption (β = .60, p < .001) from T1 to T2. Control children showed a significant increase in junk food consumption (β = .11, p = .01) and sedentary behavior (β = .09, p < .005) from T1 to T2. Teachers did not significantly influence preschool-age children's nutrition or physical activity patterns from T1 to T2. Parent nutrition and physical activity patterns significantly influence their preschool-age children's consumption of fruits/vegetables, junk food, and level of sedentary behavior. Future obesity prevention intervention efforts targeting this age group should include parents as healthy lifestyle role models for their children

    Implementation of Lifestyle Modification Program Focusing on Physical Activity and Dietary Habits in a Large Group, Community-Based Setting

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    Lifestyle modification programs improve several health-related behaviors, including physical activity (PA) and nutrition. However, few of these programs have been expanded to impact a large number of individuals in one setting at one time. Therefore, the purpose of this study was to determine whether a PA- and nutrition-based lifestyle modification program could be effectively conducted using a large group format in a community-based setting.One hundred twenty-one participants enrolled in a 16-week, community-based lifestyle modification program and separated in small teams of 13 to 17 individuals. Height, weight, fruit and vegetable (FAV) consumption, physical fitness, and several psychosocial measures were assessed before and after the program.Significant improvements in 6-minute walk distance (+68.3 m; p < .001), chair stands (+6.7 repetitions; p < .001), FAV servings (+1.8 servings/day; p < .001), body weight (-3.2 lbs; p < .001), as well as PA social support and eating habits self-efficacy were observed. Our lifestyle modification program was also successful in shifting participants to higher levels of stages of change for nutrition and PA, increasing overall levels of self-efficacy for healthy eating, and improving levels of social support for becoming more active.A lifestyle modification program can be successfully implemented in a community setting using a large group format to improve PA and FAV attitudes and behaviors

    Drug Calculation Errors in Anesthesiology Residents and Faculty: An Analysis of Contributing Factors

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    Limited data exist regarding computational drug error rates in anesthesia residents and faculty. We investigated the frequency and magnitude of computational errors in a sample of anesthesia residents and faculty. With institutional review board approval from 7 academic institutions in the United States, a 15-question computational test was distributed during rounds. Error rates and the magnitude of the errors were analyzed according to resident versus faculty, years of practice (or residency training), duration of sleep, type of question, and institution. A total of 371 completed the test: 209 residents and 162 faculty. Both groups committed 2 errors (median value) per test, for a mean error rate of 17.0%. Twenty percent of residents and 25% of faculty scored 100% correct answers. The error rate for postgraduate year 2 residents was less than for postgraduate year 1 (P = .012). The error rate for faculty increased with years of experience, with a weak correlation (R = 0.22; P = .007). The error rates were independent of the number of hours of sleep. The error rate for percentage-type questions was greater than for rate, dose, and ratio questions (P = .001). The error rates varied with the number of operations needed to calculate the answer (P < .001). The frequency of large errors (100-fold greater or less than the correct answer) by residents was twice that of faculty. Error rates varied among institutions ranged from 12% to 22% (P = .021). Anesthesiology residents and faculty erred frequently on a computational test, with junior residents and faculty with more experience committing errors more frequently. Residents committed more serious errors twice as frequently as faculty

    A spatial individual-based model predicting a great impact of copious sugar sources and resting sites on survival of Anopheles gambiae and malaria parasite transmission.

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    BackgroundAgent-based modelling (ABM) has been used to simulate mosquito life cycles and to evaluate vector control applications. However, most models lack sugar-feeding and resting behaviours or are based on mathematical equations lacking individual level randomness and spatial components of mosquito life. Here, a spatial individual-based model (IBM) incorporating sugar-feeding and resting behaviours of the malaria vector Anopheles gambiae was developed to estimate the impact of environmental sugar sources and resting sites on survival and biting behaviour.MethodsA spatial IBM containing An. gambiae mosquitoes and humans, as well as the village environment of houses, sugar sources, resting sites and larval habitat sites was developed. Anopheles gambiae behaviour rules were attributed at each step of the IBM: resting, host seeking, sugar feeding and breeding. Each step represented one second of time, and each simulation was set to run for 60 days and repeated 50 times. Scenarios of different densities and spatial distributions of sugar sources and outdoor resting sites were simulated and compared.ResultsWhen the number of natural sugar sources was increased from 0 to 100 while the number of resting sites was held constant, mean daily survival rate increased from 2.5% to 85.1% for males and from 2.5% to 94.5% for females, mean human biting rate increased from 0 to 0.94 bites per human per day, and mean daily abundance increased from 1 to 477 for males and from 1 to 1,428 for females. When the number of outdoor resting sites was increased from 0 to 50 while the number of sugar sources was held constant, mean daily survival rate increased from 77.3% to 84.3% for males and from 86.7% to 93.9% for females, mean human biting rate increased from 0 to 0.52 bites per human per day, and mean daily abundance increased from 62 to 349 for males and from 257 to 1120 for females. All increases were significant (P &lt; 0.01). Survival was greater when sugar sources were randomly distributed in the whole village compared to clustering around outdoor resting sites or houses.ConclusionsIncreases in densities of sugar sources or outdoor resting sites significantly increase the survival and human biting rates of An. gambiae mosquitoes. Survival of An. gambiae is more supported by random distribution of sugar sources than clustering of sugar sources around resting sites or houses. Density and spatial distribution of natural sugar sources and outdoor resting sites modulate vector populations and human biting rates, and thus malaria parasite transmission
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