Evidence map›Paper›PMID 30565724›Full record

ArticleAmerican journal of industrial medicine2019

Mental illness, drinking, and the social division and structure of labor in the United States: 2003-2015.

Seth J Prins, Sarah McKetta, Jonathan Platt, Carles Muntaner, Katherine M Keyes, Lisa M Bates

Open access · greenAbstract read
In one paragraph

Article in American journal of industrial medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 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

6 authors at 3 institutions in 3 countries.

Seth J PrinsDepartment of Epidemiology, Columbia University, New York, New York.ORCID 0000-0003-2622-614X
Sarah McKettaDepartment of Epidemiology, Columbia University, New York, New York.
Jonathan PlattDepartment of Epidemiology, Columbia University, New York, New York.
Carles MuntanerLawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario.
Katherine M KeyesDepartment of Epidemiology, Columbia University, New York, New York.
Lisa M BatesDepartment of Epidemiology, Columbia University, New York, New York.
Columbia University · USBloomberg (United States) · USUniversidad Mayor · CL

Funding

Health, Wealth, and Wellbeing over the Life Course and Across GenerationsR01AG040213 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FRIEDMAN, ESTHER M. · 2011 to 2025
$31.2M
Family Dynamics, Fertility, and Investments in Children Across Generations - Administrative SupplementR01HD069609 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Thomas Fraser Crossley · 2011 to 2026
$14.2M
RESEARCH TRAINING PROGRAM IN PSYCHIATRIC EPIDEMIOLOGYT32MH013043 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Katherine M. Keyes · 1985 to 2026
$11.7M
Training Program on HIV and Substance Use in the Criminal Justice SystemT32DA037801 · NIDA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Nabila El-Bassel, Lisa R Metsch · 2014 to 2026
$5.7M
Adolescent substance use as determinant and consequence of the school-to-prison pipeline: Disentangling individual risk, social determinants, and group disparitiesK01DA045955 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PRINS, SETH JACOB · 2019 to 2023
$863k
National Science Foundation 1623684National Science Foundation SES 1157698NIA NIH HHS R01 AG040213NICHD NIH HHS R01 HD069609NIDA NIH HHS K01 DA045955NIDA NIH HHS T32 DA037801NIMH NIH HHS T32 MH013043
6 · The paper itself

Abstract

backgroundWe draw on a relational theoretical perspective to investigate how the social division and structure of labor are associated with serious and moderate mental illness and binge and heavy drinking.

methodsThe Panel Study of Income Dynamics and the Occupational Information Network were linked to explore how occupation, the productivity-to-pay gap, unemployment, the gendered division of domestic labor, and factor-analytic and theory-derived dimensions of work are related to mental illness and drinking outcomes.

resultsOccupations involving manual labor and customer interaction, entertainment, sales, or other service-oriented labor were associated with increased odds of mental illness and drinking outcomes. Looking for work, more hours of housework, and a higher productivity-to-pay gap were associated with increased odds of mental illness. Physical/risky work was associated with binge and heavy drinking and serious mental illness; technical/craft work and automation were associated with binge drinking. Work characterized by higher authority, autonomy, and expertise was associated with lower odds of mental illness and drinking outcomes.

conclusionsSituating work-related risk factors within their material context can help us better understand them as determinants of mental illness and identify appropriate targets for social change.

Indexed as

Alcohol DrinkingIncomeOccupationsEmploymentFemaleHumansMaleMental DisordersRisk FactorsUnemploymentUnited Statesdivision of labordrinkingmental healthoccupational healthoccupationssocial classwork

Identifiers

PMID30565724
PMCPMC6511991
OpenAlexW2904764516

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.