Evidence map›Paper›PMID 39254896›Full record

ArticleDiscover mental health2024

Health concerns, access to care, and trust in research and researchers among community members with bipolar disorder.

Christian Conger, Linda B Cottler

Abstract read
In one paragraph

Article in Discover mental health, 2024. 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

2 authors.

Christian CongerDepartment of Epidemiology, Colleges of Public Health and Health Professions and Medicine, University of Florida, Gainesville, FL, USA. christianconger@ufl.edu.ORCID http://orcid.org/0009-0002-0909-8502
Linda B CottlerDepartment of Epidemiology, Colleges of Public Health and Health Professions and Medicine, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0001-5643-8536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData are needed on differences in community-dwelling populations with bipolar disorder (BP) regarding trust in research and access to care. We characterized community members by lifetime history of bipolar disorder. We hypothesized that those with BP would have less trust in research, visit a health provider less, and participate less in research than those without BP. We also hypothesized that those with BP would be more likely to have a history of marijuana (MJ) use.

methodsA cross-sectional design was used for this analysis. The study population consisted of 12,489 members (78.0%) from the HealthStreet community engagement program who were interviewed by a Community Health Worker about health history and demographics.

resultsAmong the sample, the rate of BP was 10.6% (n = 1326). Those reporting BP were more likely than those who did not (n = 11,163), to report muscle, bone, and mental health problems, to be younger, female, to have visited the doctor in the past 12 months, to be interested in participating in research, and be current MJ users. Trust did not differ between BP groups.

conclusionsOur analysis found that persons with BP had higher access to care and more interest in research, thus our primary hypothesis was rejected. Our secondary hypothesis, that persons with BP were more likely to have a history of MJ use was upheld. These findings are important because they address a crucial gap in the literature surrounding BP and lay the groundwork for future community-level research.

Indexed as

Bipolar disorderCommunity engagementHealthStreetMarijuanaTrust

Identifiers

PMID39254896
PMCPMC11387570

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.