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zadetkov: 197
31.
  • Understanding susceptibilit... Understanding susceptibility to e-cigarettes: A comprehensive model of risk factors that influence the transition from non-susceptible to susceptible among e-cigarette naïve adolescents
    Carey, Felicia R.; Rogers, Shannon M.; Cohn, Elizabeth A. ... Addictive behaviors, 04/2019, Letnik: 91
    Journal Article
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    The primary objective of this study was to identify risk factors associated with becoming susceptible to e-cigarette use over the course of a year among e-cigarette-naive adolescents considering a ...
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32.
  • The Associations Between Br... The Associations Between Breastfeeding Duration and Body Dissatisfaction, Ethnicity, and Obesity Among Mexican Women, a Cross-Sectional Study, ENSANUT 2012
    Bigman, Galya; Wilkinson, Anna V; Homedes, Nuria ... Breastfeeding medicine, 03/2020, Letnik: 15, Številka: 3
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    Body image dissatisfaction (BID) has been inversely associated with breastfeeding initiation particularly among women with obesity. However, less is known on BID and the association with maintaining ...
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33.
  • Longitudinal trajectories o... Longitudinal trajectories of E-cigarette use among adolescents: A 5-year, multiple cohort study of vaping with and without marijuana
    Harrell, Melissa B.; Chen, Baojiang; Clendennen, Stephanie L. ... Preventive medicine, 09/2021, Letnik: 150
    Journal Article
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    E-cigarette use harms adolescent health, yet it continues to escalate rapidly among teens nationwide. This longitudinal study sought to identify and differentiate between developmental trajectories ...
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34.
  • Understanding college stude... Understanding college students' experiences using e-cigarettes and marijuana through qualitative interviews
    Clendennen, Stephanie L.; Rangwala, Shazia; Sumbe, Aslesha ... Journal of American college health ahead-of-print, Številka: ahead-of-print
    Journal Article
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    To investigate the contexts in which college students use e-cigarettes and marijuana, perceptions about the benefits and harms, and health effects of use. College student e-cigarette and marijuana ...
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35.
  • A machine learning compatib... A machine learning compatible method for ordinal propensity score stratification and matching
    Greene, Thomas J.; DeSantis, Stacia M.; Brown, Derek W. ... Statistics in medicine, 15 March 2021, Letnik: 40, Številka: 6
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    Although machine learning techniques that estimate propensity scores for observational studies with multivalued treatments have advanced rapidly in recent years, the development of propensity score ...
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36.
  • Predictors of adolescent tr... Predictors of adolescent truancy: The importance of cyberbullying, peer behavior, and parenting style
    Escario, José-Julián; Giménez-Nadal, J. Ignacio; Wilkinson, Anna V. Children and youth services review, December 2022, 2022-12-00, 20221201, Letnik: 143
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    •Spain is among the OECD countries with the highest truancy rates.•Adolescents’ truancy behavior is evaluated using a Spanish nationally representative survey of students aged 14–18 years ...
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37.
  • Worm-like micelles and vesi... Worm-like micelles and vesicles formed by alkyl-oligo(ethylene glycol)-glycoside carbohydrate surfactants: The effect of precisely tuned amphiphilicity on aggregate packing
    Moore, Jackson E.; McCoy, Thomas M.; Sokolova, Anna V. ... Journal of colloid and interface science, 07/2019, Letnik: 547
    Journal Article
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    Display omitted Carbohydrates are appealing non-ionic surfactant head-groups as they are naturally abundant, generally biocompatible and biodegradable, and readily functionalized. Recent work has ...
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38.
  • Digital marketing of smokel... Digital marketing of smokeless tobacco: A longitudinal analysis of exposure and initiation among young adults
    Clendennen, Stephanie L.; Mantey, Dale S.; Wilkinson, Anna V. ... Addictive behaviors, 06/2021, Letnik: 117
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    •14.6% of young adults reported exposure to digital smokeless tobacco marketing.•Racial/ethnic minorities were significantly more likely than their white peers to report exposure.•Exposure was ...
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39.
  • Identifying demographic and... Identifying demographic and psychosocial factors related to the escalation of smoking behavior among Mexican American adolescents
    Shete, Sahil S; Wilkinson, Anna V Preventive medicine, 06/2017, Letnik: 99
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    Abstract Cigarette smoking is the leading preventable cause of death in the United States; smoking in Mexican American adolescents, a rapidly growing population, remains a major concern. Factors ...
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40.
  • Racial/Ethnic Differences i... Racial/Ethnic Differences in Physical Activity in a Low-Income Sample in Texas
    Ranjit, Nalini; Badillo, David J; Hoelscher, Deanna M ... Journal of physical activity & health, 2024-Jan-01, Letnik: 21, Številka: 1
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    National data reveal that the age-adjusted prevalence of leisure-time physical inactivity is higher among Blacks and Hispanics compared with Whites. However, these estimates do not consider ...
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