Evidence map›Paper›PMID 41161221›Full record

ArticleJournal of psychiatric research2026

Understanding and characterizing the higher rates of medical comorbidities in serious mental illness.

Mohammed Farooqui, Megan Cooke, Carlos N Pato, Michele T Pato

Abstract read
In one paragraph

Article in Journal of psychiatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Mohammed FarooquiCenter for Psychiatric Health and Genomics (CPHG), Department of Psychiatry, Rutgers University, Piscataway, NJ, USA. Electronic address: msf130@rwjms.rutgers.edu.
Megan CookeCenter for Psychiatric Health and Genomics (CPHG), Department of Psychiatry, Rutgers University, Piscataway, NJ, USA.
Carlos N PatoCenter for Psychiatric Health and Genomics (CPHG), Department of Psychiatry, Rutgers University, Piscataway, NJ, USA.
Michele T PatoCenter for Psychiatric Health and Genomics (CPHG), Department of Psychiatry, Rutgers University, Piscataway, NJ, USA. Electronic address: mp1768@rutgers.edu.

Funding

African Ancestry Genomic Psychiatry CohortR01MH104964 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI BIGDELI, TIM BERNARD, FANOUS, AYMAN H · 2015 to 2024
$16.7M
Genomic Psychiatry CohortR01MH085548 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PATO, CARLOS N, PATO, MICHELE T · 2008 to 2012
$16.3M
Latino Ancestry Genomic Psychiatry CohortR01MH123451 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI BIGDELI, TIM BERNARD, FANOUS, AYMAN H · 2020 to 2025
$7.1M
Addition of OCD to the Genomic Psychiatry CohortR01MH103657 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KNOWLES, JAMES A, PATO, MICHELE T · 2014 to 2018
$3.8M
3/4 Powering Genetic Discovery for Severe Mental Illness in Latin American andAfrican AncestriesU01MH125049 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI MULLE, JENNIFER GLADYS, PATO, CARLOS N · 2020 to 2024
$2.0M
NIMH NIH HHS R01 MH085548NIMH NIH HHS R01 MH103657NIMH NIH HHS R01 MH104964NIMH NIH HHS R01 MH123451NIMH NIH HHS U01 MH125049
6 · The paper itself

Abstract

Individuals with serious mental illness (SMI) contend with medical comorbidities like hypertension, lowering their life expectancies. Here we evaluated these comorbidities in the Genomic Psychiatry Cohort, a large, diverse sample of subjects with SMI and controls. We also assessed the relationship of these illnesses with factors such as ancestry. Participants were sorted into one of three groups: 1) schizophrenia and schizoaffective disorder-depressed type (SZ, n = 8188), 2) bipolar with and without psychosis and schizoaffective disorder-bipolar type (BD, n = 5577) and 3) controls (CON, n = 10,850). Logistic regression models provided the odds of subjects endorsing heart problems, hypertension, high blood sugar, high cholesterol, and cancer compared to CONs. Similar models were used to evaluate the effects of probable alcohol use disorder (pAUD), probable tobacco use disorder (pTUD), ancestry, and sex. Both SZ and BD had higher odds of all five comorbidities compared to CONs, with OR ranging between 1.61 and 2.38 for SZ and 2.08 to 3.14 for BD (p < 0.0033). Having both SMI and pAUD was associated with higher odds of heart problems, hypertension, and cancer, though for pTUD this association held true for heart problems and cancer in SZ only (p < 0.0033). When comparing African-ancestry (AA) and European-ancestry (EA), hypertension and high blood sugar impacted AA with SMI more, though high cholesterol and cancer impacted EA with SMI more. Our findings suggest that SZ and BD are associated with higher rates of medical comorbidities, and factors such as pAUD, pTUD, and ancestry may be implicated.

Indexed as

Bipolar DisorderHypertensionNeoplasmsPsychotic DisordersSchizophreniaAdultAgedCohort StudiesComorbidityFemaleHumansMaleMiddle AgedAlcohol use disorderAncestryBipolar disorderSchizoaffective disorderSchizophreniaTobacco use disorder

Identifiers

PMID41161221
PMCPMC12629587

What OpenQuestion holds

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Registered trials

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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.