Browsing by Subject "Cigarette use"

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    Application of the Acquired Preparedness Model for Alcohol and Cigarette Use Among Reserve-Dwelling First Nation Adolescents
    (American Psychological Association, 2022) Schick, Melissa R.; Williams, Jessica N.; Kirk-Provencher, Katelyn T.; Cyders, Melissa A.; Spillane, Nichea S.; Psychology, School of Science
    Objective: North American Indigenous youth experience disproportionate harm associated with alcohol and cigarette use compared to other racial/ethnic groups. The Acquired Preparedness Model (APM), developed and tested in primarily White samples, hypothesizes that urgency contributes to risk for substance use by influencing the degree to which adolescents attend to positive aspects of substance use, leading to the development of more positive expectations about the consequences of substance use, and increasing subsequent substance use. The purpose of the present study was to provide an initial test of whether the APM generalizes to understanding alcohol and cigarette use among high-risk First Nation adolescents. Method: First Nation adolescents (n = 106, Mage = 14.6, 50.0% female) recruited from reserve communities in Eastern Canada completed self-report measures as part of a larger community-based participatory research project. Procedures were approved by tribal chief, council, and university IRB. Results: The hypothesized model demonstrated excellent fit for alcohol use, χ²(1) = 1.07, p = .30, CFI = 0.99, RMSEA = .03, SRMR = .02, and adequate fit for cigarette use, χ²(1) = 2.58, p = .11, CFI = 0.98, RMSEA = 0.12, SRMR = 0.03. The indirect effects of urgency on alcohol consumption and cigarette smoking through alcohol and cigarette expectancies were each significant. Conclusions: Findings of the present study provide initial support for the generalizability of the APM in understanding risk for alcohol and cigarette use among reserve-dwelling First Nation youth. The next important step is to replicate this finding in a prospective sample.
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    Perinatal smoking and its related factors
    (2018-07-12) Jones, Ashley; Shieh, Carol; Staten, Lisa; Carter-Harris, Lisa; Stiffler, Deborah; Macy, Jon
    The smoking rate of low-income pregnant women is almost 4 times the rate for higher-income women. A better understanding of smoking within the low-income population is needed. The purpose of this dissertation was to study smoking and related factors for pregnant and postpartum women living in poverty. The first component used Rodger’s evolutionary concept analysis method and uncovered three attributes, four antecedents, and three consequences for smoking cessation. The second (N = 1,554) and third (N = 71,944) components were a secondary data analysis of first-pregnancy Medicaid-eligible women enrolled in the Nurse-Family Partnership program from 2011-2016. The second component explored patterns of smoking and depression and their associations. Eight distinct patterns of smoking and depression were found. Smokers were more likely than nonsmokers to have depressive symptoms at the end of pregnancy (OR = 1.37 [1.04, 1.81] and 12 months post-delivery (OR = 1.93 [1.47, 2.51]. The third component investigated covariates present during early pregnancy and their relationships with smoking status and sought to find best fitting predictive models. Multivariable logistic regression showed cigarette use in the 3 months prior to pregnancy and at program intake were significant predictors for smoking status at the end of pregnancy and 12 months post-delivery. Interactive Matrix Language, Structured Query Language, and iterations of logistic regression identified 5 covariates (high school education, cigarette use prior to pregnancy, smoking status at pregnancy baseline, depression, and self-mastery) for the best fitting model at the end of pregnancy and three additional covariates (post-secondary education, marital status, and race) for the 12 months post-delivery model. The area under the receiver operator characteristic curve was 0.9681 for the end of pregnancy model and 0.9269 for 12 months post-delivery model, indicating excellent prediction ability of the models. Results can be integrated in smoking prevention education, screening, and cessation intervention programs.