Evidence map›Paper›PMID 42853906›Full record

ArticlePLOS mental health2026

Mental health care utilization among middle-aged and older U.S. adults: Findings from the National Health Interview Survey.

Charllote Boateng, Isaiah Osei Duah Junior, Brandy Swati Bonnah, Bikram Adhikari, Kwadwo Owusu Akuffo, Rhodalene Asantewaa Buabeng, Engmann Yorgen Carl Nii Lomotey, Xinhua Yu

Abstract read
In one paragraph

Article in PLOS mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

8 authors.

Charllote BoatengDivision of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, The University of Memphis, Memphis, Tennessee, United States of America.ORCID https://orcid.org/0009-0009-3778-1318
Isaiah Osei Duah JuniorDepartment of Optometry and Visual Science, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID https://orcid.org/0000-0003-4501-8602
Brandy Swati BonnahDivision of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, The University of Memphis, Memphis, Tennessee, United States of America.ORCID https://orcid.org/0009-0002-4986-606X
Bikram AdhikariDivision of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, The University of Memphis, Memphis, Tennessee, United States of America.ORCID https://orcid.org/0000-0002-4299-9233
Kwadwo Owusu AkuffoDepartment of Optometry and Visual Science, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID https://orcid.org/0000-0001-6683-249X
Rhodalene Asantewaa BuabengSinclair School of Nursing, University of Missouri, Columbia, Missouri, United States of America.ORCID https://orcid.org/0009-0001-8153-0956
Engmann Yorgen Carl Nii LomoteyDivision of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, The University of Memphis, Memphis, Tennessee, United States of America.ORCID https://orcid.org/0009-0004-0563-9775
Xinhua YuDivision of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, The University of Memphis, Memphis, Tennessee, United States of America.ORCID https://orcid.org/0000-0003-2392-3740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health care (MHC) utilization remains uneven among middle-aged and older adults in the United States, yet the role of comorbidity burden and other sociodemographic, socioeconomic, behavioral, and clinical domain predictors remains incompletely characterized. We analyzed pooled data from six waves (2019-2024) of the National Health Interview Survey (NHIS), comprising 128,261 adults aged ≥40 years. Comorbidity burden was the primary predictor, categorized as none, one, or ≥2 chronic conditions, while together with additional predictors was organized according to the predisposing, enabling, and need domains of Andersen's Behavioral Model of Health Services Use. MHC utilization, the outcome, was defined as counseling or psychotherapy, mental health medication use, or visits to a mental health specialist within the previous 12 months. Survey-weighted multivariable logistic regression accounted for the complex survey design and sampling weights. Overall, approximately one in five adults utilized MHC services. Utilization was higher among females, non-Hispanic White adults, unmarried adults, smokers, overweight or obese adults, those with lower income, those with health insurance coverage, or residence in the Midwest, and those with one or ≥2 comorbidities, depression, or anxiety. In contrast, utilization was lower among adults aged 50-64, 65-74, and ≥75 years, non-Hispanic Black and Asian adults, and those with higher educational attainment. Taken together, these findings indicate that MHC utilization is shaped by comorbidity burden alongside predisposing, enabling, and need-related factors, underscoring the need for targeted and culturally responsive strategies to improve equitable access to MHC among this ageing population.

Identifiers

PMID42853906
PMCPMC13652341

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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.