Behavioral stability of alcohol consumption and socio-demographic correlates of change among a nationally representative cohort of US adults.
Détails
Télécharger: Addiction - 2022 - Puka - Behavioral stability of alcohol consumption and socio‐demographic correlates of change among a.pdf (1162.25 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
Document(s) secondaire(s)
Télécharger: add16024-sup-0003-alcohol transitions supplement r1 clean.docx (66.76 [Ko])
Etat: Public
Version: Supplementary document
Licence: Non spécifiée
Etat: Public
Version: Supplementary document
Licence: Non spécifiée
ID Serval
serval:BIB_9DBD7AAC199F
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Behavioral stability of alcohol consumption and socio-demographic correlates of change among a nationally representative cohort of US adults.
Périodique
Addiction
ISSN
1360-0443 (Electronic)
ISSN-L
0965-2140
Statut éditorial
Publié
Date de publication
01/2023
Peer-reviewed
Oui
Volume
118
Numéro
1
Pages
61-70
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Résumé
To estimate the probability of transitioning between different categories of alcohol use (drinking states) among a nationally representative cohort of United States (US) adults and to identify the effects of socio-demographic characteristics on those transitions.
Secondary analysis of data from the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC), a prospective cohort study conducted in 2001-02 and 2004-05; a US nation-wide, population-based study. Participants included 34 165 adults (mean age = 45.1 years, standard deviation = 17.3; 52% women).
Alcohol use was self-reported and categorized based on the grams consumed per day: (1) non-drinker (no drinks in past 12 months), (2) category I (women = ≤ 20; men = ≤ 40), (3) category II (women = 21-40; men = 41-60) and (4) category III (women = ≥ 41; men = ≥ 61). Multi-state Markov models estimated the probability of transitioning between drinking states, conditioned on age, sex, race/ethnicity and educational attainment. Analyses were repeated with alcohol use categorized based on the frequency of heavy episodic drinking.
The highest transition probabilities were observed for staying in the same state; after 1 year, the probability of remaining in the same state was 90.1% [95% confidence interval (CI) = 89.7%, 90.5%] for non-drinkers, 90.2% (95% CI = 89.9%, 90.5%) for category I, 31.8% (95% CI = 29.7, 33.9%) category II and 52.2% (95% CI = 46.0, 58.5%) for category III. Women, older adults, and non-Hispanic Other adults were less likely to transition between drinking states, including transitions to lower use. Adults with lower educational attainment were more likely to transition between drinking states; however, they were also less likely to transition out of the 'weekly HED' category. Black adults were more likely to transition into or stay in higher use categories, whereas Hispanic/Latinx adults were largely similar to White adults.
In this study of alcohol transition probabilities, some demographic subgroups appeared more likely to transition into or persist in higher alcohol consumption states.
Secondary analysis of data from the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC), a prospective cohort study conducted in 2001-02 and 2004-05; a US nation-wide, population-based study. Participants included 34 165 adults (mean age = 45.1 years, standard deviation = 17.3; 52% women).
Alcohol use was self-reported and categorized based on the grams consumed per day: (1) non-drinker (no drinks in past 12 months), (2) category I (women = ≤ 20; men = ≤ 40), (3) category II (women = 21-40; men = 41-60) and (4) category III (women = ≥ 41; men = ≥ 61). Multi-state Markov models estimated the probability of transitioning between drinking states, conditioned on age, sex, race/ethnicity and educational attainment. Analyses were repeated with alcohol use categorized based on the frequency of heavy episodic drinking.
The highest transition probabilities were observed for staying in the same state; after 1 year, the probability of remaining in the same state was 90.1% [95% confidence interval (CI) = 89.7%, 90.5%] for non-drinkers, 90.2% (95% CI = 89.9%, 90.5%) for category I, 31.8% (95% CI = 29.7, 33.9%) category II and 52.2% (95% CI = 46.0, 58.5%) for category III. Women, older adults, and non-Hispanic Other adults were less likely to transition between drinking states, including transitions to lower use. Adults with lower educational attainment were more likely to transition between drinking states; however, they were also less likely to transition out of the 'weekly HED' category. Black adults were more likely to transition into or stay in higher use categories, whereas Hispanic/Latinx adults were largely similar to White adults.
In this study of alcohol transition probabilities, some demographic subgroups appeared more likely to transition into or persist in higher alcohol consumption states.
Mots-clé
Male, Humans, United States/epidemiology, Female, Aged, Middle Aged, Alcohol Drinking/epidemiology, Prospective Studies, Cohort Studies, Ethanol, Demography, Age, Markov model, agent-based model, race and ethnicity, sex, simulation model, socio-economic status, trajectory, transition probability
Pubmed
Web of science
Open Access
Oui
Financement(s)
Fonds national suisse / Carrières / P2LAP3_191273
Autre / NIAAA R01AA028009
Création de la notice
14/10/2022 13:22
Dernière modification de la notice
05/05/2023 15:23