Regular ArticleFactors Affecting Attrition in a Longitudinal Smoking Prevention Study☆
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Use of Survival Analysis to Predict Attrition Among Women Participating in Longitudinal Community-Based Nutrition Research
2019, Journal of Nutrition Education and BehaviorCitation Excerpt :It was hypothesized that those who completed the study would be different than those who were not retained, based on multiple characteristics assessed at baseline. Specifically, participants would be more likely to drop out if they identified as a minority race, had lower education attainments, had lower household incomes, were younger, had a larger household, used fewer federal assistance programs, and had an elevated weight status based on attrition analyses of other public health programs.18,23–25 A 15-month longitudinal study was designed, where participants completed assessments at 12 time points (2 assessments at baseline and at 3-month intervals).
Predictors of retention in a randomised trial of smoking cessation in low-socioeconomic status Australian smokers
2017, Addictive BehaviorsCitation Excerpt :Length of previous quit attempts (Borrelli, Hogan, Bock, et al., 2002; Leeman, Quiles, Molinelli, et al., 2006) and confidence in quitting (Nevid, Javier, & Moulton, 1996) are associated with study retention but evidence is mixed for cigarettes smoked per day (Nevid et al., 1996; Bowen, McTiernan, Powers, et al., 2000; Curtin, Brown, & Sales, 2000). On the whole, the association between study retention and other socio-demographic characteristics (e.g. age, (Leeman et al., 2006; Fortman & Killen, 1994), education level, (Borrelli et al., 2002; Curtin et al., 2000) sex, (Greenberger & Knab, 2000) and number of dependent children) (Leeman et al., 2006), behavioural/psychological factors (e.g. weight concerns (Leeman et al., 2006), feelings of guilt, IQ (Beaver, 2013; Lynham, Moffitt, & Stouthamer-Loeber, 1993)) and health-related factors (e.g. depression (Curtin et al., 2000), body mass index (BMI) and other health risk behaviours) (Goldberg et al., 2006; de Graaf, Bijl, Smit, et al., 2000; Deeg, van Tilburg, Smit, et al., 2002; Morrison, Wahlgreen, Hovell, et al., 1997; Siddiqui, Flay, & Hu, 1996) is conflicting. Further, there is an absence of data from smoking cessation clinical trials in socially disadvantaged populations (Bonevski et al., 2014).
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Collection of data for this research was supported by Grant R01-DA0348 from the National Institute of Drug Abuse to B. R. Flay, W. B. Hansen and C. A. Johnson. The analyses reported here were completed with support from Grant R01-DA06307 to B. R. Flay and J. Richardson. Address correspondence and reprint requests to Ohidul Siddiqui, Prevention Research Center (M/C 275), University of Illinois at Chicago, 850 West Jackson Boulevard, Suite 400, Chicago, Illinois 60607-3025.