Evidence map›Paper›PMID 37798096›Full record

ArticleBipolar disorders2023

Demographic and clinical associations to employment status in older-age bipolar disorder: Analysis from the GAGE-BD database project.

Amulya Mallu, Carol K Chan, Lisa T Eyler, Annemiek Dols, Soham Rej, Hilary P Blumberg, Kaylee Sarna, Brent P Forester, Regan E Patrick, Orestes V Forlenza and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Bipolar disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

17 authors at 11 institutions in 5 countries.

Amulya MalluCase Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Carol K ChanCase Western Reserve University School of Medicine, University Hospitals Case Medical Center, Cleveland, Ohio, USA.
Lisa T EylerDepartment of Psychiatry, University of California San Diego, San Diego, California, USA.
Annemiek DolsDepartment of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-1964-0318
Soham RejDepartment of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Canada.ORCID 0000-0002-3908-9124
Hilary P BlumbergDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-6363-4698
Kaylee SarnaCase Western Reserve University School of Medicine, University Hospitals Case Medical Center, Cleveland, Ohio, USA.
Brent P ForesterMcLean Hospital, Belmont, Massachusetts, USA.
Regan E PatrickMcLean Hospital, Belmont, Massachusetts, USA.
Orestes V ForlenzaLaboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.
Esther JimenezBipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, ISCIII, Barcelona, Catalonia, Spain.
Eduard VietaBipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, ISCIII, Barcelona, Catalonia, Spain.ORCID 0000-0002-0548-0053
Sigfried SchouwsGGZ inGeest, Amsterdam UMC, location VU Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.ORCID 0000-0003-0591-5405
Ashley SutherlandDepartment of Psychiatry, University of California San Diego, San Diego, California, USA.
Joy YalaCase Western Reserve University School of Medicine, University Hospitals Case Medical Center, Cleveland, Ohio, USA.
Farren B S BriggsDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Martha SajatovicCase Western Reserve University School of Medicine, University Hospitals Case Medical Center, Cleveland, Ohio, USA.ORCID 0000-0002-3073-668X
University Hospitals of Cleveland · USCentro de Investigación Biomédica en Red de Salud Mental · ESHarvard University · USUniversity of California San Diego · USCase Western Reserve University · USGGZ inGeest · NLHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRJewish General Hospital · CAUniversity Medical Center Utrecht · NLUniversity School · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Aging and Emotion Regulation Brain Circuitry in Bipolar DisorderR01MH113230 · NIMH · YALE UNIVERSITY · PI BLUMBERG, HILARY PATRICIA · 2017 to 2021
$4.0M
Dynamic Inflammatory and Mood Predictors of Cognitive Aging in Bipolar DisorderR01MH103318 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI EYLER, LISA T · 2014 to 2018
$2.8M
Structural and Functional Brain Aging in Bipolar DisorderR01MH083968 · NIMH · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI EYLER, LISA T · 2010 to 2014
$1.7M
NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002548NIMH NIH HHS R01 MH083968NIMH NIH HHS R01 MH103318NIMH NIH HHS R01 MH113230
6 · The paper itself

Abstract

objectiveThe current literature on employment in older adults with bipolar disorder (OABD) is limited. Using the Global Aging and Geriatric Experiments in Bipolar Disorder Database (GAGE-BD), we examined the relationship of occupational status in OABD to other demographic and clinical characteristics.

methodsSeven hundred and thirty-eight participants from 11 international samples with data on educational level and occupational status were included. Employment status was dichotomized as employed versus unemployed. Generalized linear mixed models with random intercepts for the study cohort were used to examine the relationship between baseline characteristics and employment. Predictors in the models included baseline demographics, education, psychiatric symptom severity, psychiatric comorbidity, somatic comorbidity, and prior psychiatric hospitalizations.

resultsIn the sample, 23.6% (n = 174) were employed, while 76.4% were unemployed (n = 564). In multivariable logistic regression models, less education, older age, a history of both anxiety and substance/alcohol use disorders, more prior psychiatric hospitalizations, and higher levels of BD depression severity were associated with greater odds of unemployment. In the subsample of individuals less than 65 years of age, findings were similar. No significant association between manic symptoms, gender, age of onset, or employment status was observed.

conclusionResults suggest an association between educational level, age, psychiatric severity and comorbidity in relation to employment in OABD. Implications include the need for management of psychiatric symptoms and comorbidity across the lifespan, as well as improving educational access for people with BD and skills training or other support for those with work-life breaks to re-enter employment and optimize the overall outcome.

Indexed as

AlcoholismBipolar DisorderAgedAgingDemographyEmploymentHumansagingbipolar disorderemploymentfunctioningsomatic burden

Identifiers

PMID37798096
PMCPMC10843228
OpenAlexW4387392998

What Socratic 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 Socratic graph.