Evidence map›Paper›PMID 37700243›Full record

ArticleBMC psychiatry2023

Trends of mental health care utilization among US adults from 1999 to 2018.

Junzhe Wang, Yang Qiu, Xiaozhou Zhu

Abstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  5. Incidence and Risk Factors for New-onset Depression After Total Shoulder Arthroplasty.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
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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

3 authors.

Junzhe Wang *Nanjing Medical University, Nanjing, 211166, China.
Yang Qiu *Jiangsu Provincial Academy of Environmental Science, Nanjing, 210036, China.
Xiaozhou ZhuDepartment of Medical Insurance, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China. xzzhu@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health disorders affect millions of US adults, however, the trends and related factors for mental health care utilization in the US remain unknown.

aimsOur study aimed to assess the trend of mental health utilization and related socio-demographic factors in the US.

methodsThe study included 55,052 individuals from the National Health and Nutrition Examination Survey (NHANES) in 1999-2018. Temporal trends in the percentages of mental health care utilizers were estimated across survey cycles. Trends and linked factors of mental health care utilization were assessed by a logistic regression model, while the non-linearity was estimated by restricted cubic splines.

resultsFrom 1999 to 2018, the percentage of mental health care utilizers in the US adult population increased from 7.0 to 11.3% (P < 0.001); meanwhile, the trends in males and females were consistent. The percentage increased positively with age in individuals aged 20-39 (P < 0.001) or aged 60 and over (P = 0.003). The trends were consistent in three race/ethnicity groups (P < 0.05). The logistic regression analysis revealed that several disparities existed in the subpopulations. Older age, female, lower family poverty-income ratio (PIR), chronic diseases, higher educational level, and smoking were estimated to be associated with a higher percentage of mental health care.

conclusionsThe percentage of mental health care utilizers took on an increasing trend in the US adult population from 1999 to 2018. These trends were also observed in the subpopulations, but with disparities. Future research for exploring factors associated with mental health care utilizations is necessary.

Indexed as

Mental HealthPatient Acceptance of Health CareAdultAgedEthnicityFemaleHumansIncomeMaleMiddle AgedNutrition SurveysAdult populationMental health careNHANESTrend

Identifiers

PMID37700243
PMCPMC10496400

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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.