TY - JOUR
T1 - Age trends in alcohol use behavior patterns among U.S. adults ages 18–65
AU - Bray, Bethany C.
AU - Dziak, John J.
AU - Lanza, Stephanie T.
N1 - Funding Information:
This research was conducted at The Pennsylvania State University and was supported by the National Institutes of Health (grant numbers P50-DA039838 , R01-DA039854 ). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse or the National Institutes of Health.
Funding Information:
This research was conducted at The Pennsylvania State University and was supported by the National Institutes of Health (grant numbers P50-DA039838, R01-DA039854). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse or the National Institutes of Health.
Funding Information:
This research was conducted at The Pennsylvania State University and was supported by the National Institutes of Health [grant numbers P50-DA039838, R01-DA039854]. The content is solely the responsibility of the authors and does not necessarily represent the official views of NIDA or the National Institutes of Health. The authors wish to thank Ms. Loren D. Masters who assisted in acquisition and management of the National Epidemiologic Survey on Alcohol and Related Conditions-III data. The authors declare no conflicts of interest.
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Introduction: Although much of the work on risky alcohol use behaviors, such as heavy drinking, focuses on adolescence and young adulthood, these behaviors are associated with negative health consequences across all ages. Existing studies on age trends have focused on a single alcohol use behavior across many ages, using methods such as time-varying effect modeling, or a single age period with many behaviors, using methods such as latent class analysis. This study integrates aspects of both modeling approaches to examine age trends in alcohol use behavior patterns across ages 18–65. Methods: Data from the National Epidemiologic Survey on Alcohol and Related Conditions-III were used to identify past-year alcohol use behavior patterns among a nationally representative sample of U.S. adults (n = 30,997; 51.1% women; 63.5% White Non-Hispanic) and flexibly estimate nonlinear trends in the prevalences of those patterns across ages 18–65. Results: Five patterns were identified: Non-Drinkers, Frequent Light Drinkers, Infrequent Heavy Episodic Drinkers, Frequent Heavy Episodic Drinkers, and Extreme Drinkers. Pattern prevalences were allowed to vary flexibly across the entire age range. Prevalences of the Infrequent Heavy Episodic and Extreme Drinkers peaked around ages 22–24, but peaked for Frequent Heavy Episodic Drinkers around age 49. Non-Drinkers were most prevalent across all ages except during the early 20 s when Extreme Drinkers were more prevalent. Around ages 24–30, the Non-, Frequent Light, and Extreme Drinkers were approximately equally prevalent. Conclusions: The approach used here holds promise for understanding characteristics associated with behavior patterns at different ages and long-term age trends in complex behaviors.
AB - Introduction: Although much of the work on risky alcohol use behaviors, such as heavy drinking, focuses on adolescence and young adulthood, these behaviors are associated with negative health consequences across all ages. Existing studies on age trends have focused on a single alcohol use behavior across many ages, using methods such as time-varying effect modeling, or a single age period with many behaviors, using methods such as latent class analysis. This study integrates aspects of both modeling approaches to examine age trends in alcohol use behavior patterns across ages 18–65. Methods: Data from the National Epidemiologic Survey on Alcohol and Related Conditions-III were used to identify past-year alcohol use behavior patterns among a nationally representative sample of U.S. adults (n = 30,997; 51.1% women; 63.5% White Non-Hispanic) and flexibly estimate nonlinear trends in the prevalences of those patterns across ages 18–65. Results: Five patterns were identified: Non-Drinkers, Frequent Light Drinkers, Infrequent Heavy Episodic Drinkers, Frequent Heavy Episodic Drinkers, and Extreme Drinkers. Pattern prevalences were allowed to vary flexibly across the entire age range. Prevalences of the Infrequent Heavy Episodic and Extreme Drinkers peaked around ages 22–24, but peaked for Frequent Heavy Episodic Drinkers around age 49. Non-Drinkers were most prevalent across all ages except during the early 20 s when Extreme Drinkers were more prevalent. Around ages 24–30, the Non-, Frequent Light, and Extreme Drinkers were approximately equally prevalent. Conclusions: The approach used here holds promise for understanding characteristics associated with behavior patterns at different ages and long-term age trends in complex behaviors.
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U2 - 10.1016/j.drugalcdep.2019.107689
DO - 10.1016/j.drugalcdep.2019.107689
M3 - Article
C2 - 31707270
AN - SCOPUS:85074562945
SN - 0376-8716
VL - 205
JO - Drug and Alcohol Dependence
JF - Drug and Alcohol Dependence
M1 - 107689
ER -