Mary Ann Cantrell1, Michael A Posner2. 1. 1 College of Nursing, Villanova University , Villanova, Pennsylvania. 2. 2 Department of Mathematics and Statistics, Villanova University , Villanova, Pennsylvania.
Abstract
PURPOSE: This secondary data analysis compared smoking rates, alcohol consumption, and binge drinking, and examined risk factors for engaging in these behaviors among 90 young adult-aged childhood cancer survivors (CSS) with 15,490 young adults in the general population. METHODS: The sample was drawn from the National Longitudinal Study of Adolescent Health. The sampling distribution of these healthy matched young adults was estimated through the use of bootstrapping, which involved randomly repeated for 10,000 samples of healthy controls. RESULTS: The findings of repeated sampling analysis revealed that CCS were more likely to smoke daily (34.5% vs. 20.6 healthy matched controls; p = 0.03). The proportion of respondents who had any signs of alcohol abuse symptoms was 72.2% of CCS compared with 81.1% of matched controls (p = 0.16), while CCS with severe alcohol abuse was 51.1% compared with 59.1% of matched controls (p = 0.28). Whether they engaged in binge drinking in the past 12 months was 43.3% for CCS and 46.4% for healthy respondents. Logistic regression analyses were performed to examine predictors of smoking, alcohol use, and binge drinking among CCS. Smoking was very strongly associated with optimism. An optimism score of one unit higher was associated with a 39% reduction in odds of smoking (odd ratio [OR] = 0.61, p < 0.0001). Black CSS were less likely to smoke (OR = 0.15, p < 0.05). CCS in good health were more likely to binge drink (OR = 3.67, p < 0.05). CONCLUSIONS: Data generated from this secondary data analyses add to the evidence base about the engagement in high risk behaviors among young adult-aged CCS. These findings further emphasize the need for widespread, available effective theory-based screening guidelines and interventions.
PURPOSE: This secondary data analysis compared smoking rates, alcohol consumption, and binge drinking, and examined risk factors for engaging in these behaviors among 90 young adult-aged childhood cancer survivors (CSS) with 15,490 young adults in the general population. METHODS: The sample was drawn from the National Longitudinal Study of Adolescent Health. The sampling distribution of these healthy matched young adults was estimated through the use of bootstrapping, which involved randomly repeated for 10,000 samples of healthy controls. RESULTS: The findings of repeated sampling analysis revealed that CCS were more likely to smoke daily (34.5% vs. 20.6 healthy matched controls; p = 0.03). The proportion of respondents who had any signs of alcohol abuse symptoms was 72.2% of CCS compared with 81.1% of matched controls (p = 0.16), while CCS with severe alcohol abuse was 51.1% compared with 59.1% of matched controls (p = 0.28). Whether they engaged in binge drinking in the past 12 months was 43.3% for CCS and 46.4% for healthy respondents. Logistic regression analyses were performed to examine predictors of smoking, alcohol use, and binge drinking among CCS. Smoking was very strongly associated with optimism. An optimism score of one unit higher was associated with a 39% reduction in odds of smoking (odd ratio [OR] = 0.61, p < 0.0001). Black CSS were less likely to smoke (OR = 0.15, p < 0.05). CCS in good health were more likely to binge drink (OR = 3.67, p < 0.05). CONCLUSIONS: Data generated from this secondary data analyses add to the evidence base about the engagement in high risk behaviors among young adult-aged CCS. These findings further emphasize the need for widespread, available effective theory-based screening guidelines and interventions.
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