Evidence map›Paper›PMID 35975709›Full record

ArticleAddiction (Abingdon, England)2023

Behavioral stability of alcohol consumption and socio-demographic correlates of change among a nationally representative cohort of US adults.

Klajdi Puka, Charlotte Buckley, Nina Mulia, Robin C Purshouse, Aurélie M Lasserre, William Kerr, Jürgen Rehm, Charlotte Probst

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Klajdi PukaInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, ON.ORCID 0000-0001-7763-988X
Charlotte BuckleyDepartment of Automatic Control and Systems Engineering, University of Sheffield, UK.ORCID 0000-0002-8430-0347
Nina MuliaAlcohol Research Group, Public Health Institute, Emeryville, CA, USA.ORCID 0000-0002-5847-9697
Robin C PurshouseDepartment of Automatic Control and Systems Engineering, University of Sheffield, UK.ORCID 0000-0001-5880-1925
Aurélie M LasserreInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, ON.
William KerrAlcohol Research Group, Public Health Institute, Emeryville, CA, USA.ORCID 0000-0001-6612-9200
Jürgen RehmInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, ON.ORCID 0000-0001-5665-0385
Charlotte ProbstInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, ON.ORCID 0000-0003-4360-697X

Funding

Supplement to a microsimulation of alcohol control interventions to advance health equity and reverse the current decrease in life expectancy in the USR01AA028009 · NIAAA · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI PROBST, CHARLOTTE · 2020 to 2024
$2.4M
NIAAA NIH HHS R01 AA028009
6 · The paper itself

Abstract

aimsTo 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. DESIGN, SETTING AND

participantsSecondary 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). MEASUREMENTS: 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.

findingsThe 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.

conclusionsIn this study of alcohol transition probabilities, some demographic subgroups appeared more likely to transition into or persist in higher alcohol consumption states.

Indexed as

Alcohol DrinkingEthanolAgedCohort StudiesDemographyFemaleHumansMaleMiddle AgedProspective StudiesUnited StatesEthanolAgeagent-based modelMarkov modelrace and ethnicitysexsimulation modelsocio-economic statustrajectorytransition probability

Identifiers

PMID35975709
PMCPMC9722571

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.