Evidence map›Paper›PMID 31733662›Full record

ReviewInternational review of neurobiology2019

Alcohol consumption predicts incidence of depressive episodes across 10 years among older adults in 19 countries.

Katherine M Keyes, Kasim Allel, Ursula M Staudinger, Katherine A Ornstein, Esteban Calvo

Open access · greenAbstract readReview
In one paragraph

Review in International review of neurobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
27.9field-weighted citation impact, top 1% of its field
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

30 citing papers in PubMed, 57 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Katherine M KeyesDepartment of Epidemiology, Columbia University, New York, NY, United States; Robert N. Butler Columbia Aging Center, Columbia University, New York, NY, United States; Society and Health Research Center, Facultad de Humanidades, Universidad Mayor, Santiago, Chile. Electronic address: kmk2104@cumc.columbia.edu.
Kasim AllelSociety and Health Research Center, Facultad de Humanidades, Universidad Mayor, Santiago, Chile; Millennium Nucleus for the Study of the Life Course and Vulnerability (MLIV), Santiago, Chile.
Ursula M StaudingerRobert N. Butler Columbia Aging Center, Columbia University, New York, NY, United States; Department of Sociomedical Sciences, Columbia University, New York, NY, United States.
Katherine A OrnsteinDepartment of Geriatrics and Palliative Medicine, Icahn School of Medicine, Mount Sinai, New York, NY, United States.
Esteban CalvoDepartment of Epidemiology, Columbia University, New York, NY, United States; Robert N. Butler Columbia Aging Center, Columbia University, New York, NY, United States; Society and Health Research Center, Facultad de Humanidades, Universidad Mayor, Santiago, Chile.
Columbia University · USUniversidad Mayor · CLIcahn School of Medicine at Mount Sinai · US

Funding

As adolescent substance use declines, internalizing symptoms increase: identifying high-risk substance using groups and the role of social media, parental supervision, and unsupervised timeR01DA048853 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2019 to 2023
$2.0M
Race, alcohol consumption and vehicle crashes: an epidemiologic paradoxK01AA021511 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2013 to 2017
$904k
NIAAA NIH HHS K01 AA021511NIDA NIH HHS R01 DA048853
6 · The paper itself

Abstract

Alcohol consumption is increasing in many countries, and excessive alcohol consumption is particularly increasing among older adults. Excessive alcohol consumption causes morbidity and mortality, especially among older adults, including an increased risk of depressive episodes. We review the mechanisms through which alcohol consumption may affect depression, and argue that the effects of alcohol consumption on depressive episodes among older adults are understudied. We harmonized data among older adults (≥50 years) on alcohol consumption, depressive episodes, and an array of risk factors across 10 years and 19 countries (N=57,276). Alcohol consumption was categorized as current or long-term abstainer, occasional, moderate and heavy drinking at an average of 2.3 follow-up time points. Depressive episodes were measured through the CES-D or EURO-D. Multi-level Cox proportional frailty models in which the random effect has a multiplicative relationship to hazard were estimated with controls for co-occurring medical conditions, health behaviors, and demographics. Long-term alcohol abstainers had a higher hazard of depressive episodes (HR=1.14, 95% C.I. 1.08-1.21), as did those reporting occasional (HR=1.16, 95% C.I. 1.10-1.21) and heavy drinking (HR=1.22, 95% C.I. 1.13-1.30), compared with moderate drinking. Hazard ratios were attenuated in frailty models; heavy drinking, however, remained robustly associated in a random-effects model with a frailty component (HR=1.16, 95% C.I. 1.11-1.21). Interactions were observed by gender and smoking status: long-term abstainers, women's, and smokers' (HR for interaction, 1.04, 95% C.I. 1.00-1.07) hazards of depressive episodes increased more than what would be expected based on their multiplicative effects, when compared to moderate drinking, non-smoking men. Excessive alcohol consumption among older adults is a concern not only for physical, but also for mental health. Physician efforts to screen older adults for excessive alcohol use is critical for mental health to remain strong in aging populations.

Indexed as

AgingAlcohol DrinkingDepressionHumansIncidenceInternationalityAgingAlcoholBinge drinkingCross-countryDepressionHarmonizationMental health

Identifiers

PMID31733662
PMCPMC7362478
OpenAlexW2982248515

What OpenQuestion holds

Textmetadata
LicenceTDM
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.