ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2017
Predictors of Mental Health Services Use Across the Life Course among Racially-Ethnically Diverse Adults.
Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Intersectional disparities in mental healthcare utilization by sex and race/ethnicity among US adults: An NHANES study.PLOS global public health · 2025Article
- Beyond Biopsychosocial Model (BPSM): A Multifaceted Approach to Mental Health.Iranian journal of public health · 2024Article
- The Goldberg-Huxley model of the pathway to psychiatric care: 21st-century systematic review.BJPsych open · 2023Review
- A Brief Review of Mental Health Issues among Asian and Pacific Islander Communities in the U.S.Asian/Pacific Island nursing journal · 2021Article
- Burden of Depressive Symptoms Over 2 Decades and Risk of Nursing Home Placement in Older Women.Journal of the American Geriatrics Society · 2018Article
- Identifying Targets on Which to Intervene in Order to Reduce and Ultimately Eliminate Disparities in Mental Health Services.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2017Article
- Psychiatric Epidemiology of Transgender and Nonbinary Adult Patients at an Urban Health Center.LGBT healthArticle
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveLittle is known about key factors associated with use of mental health services across the life course. This study determined key socioeconomic, social support, psychiatric, and medical predictors of services use in younger, middle, and older age. DESIGN, SETTING, PARTICIPANTS, MEASUREMENTS: The sample included 3,708 adults with DSM-IV-based mood, anxiety, and substance use disorders in the Collaborative Psychiatric Epidemiology Surveys. Key predictors of mental health services use for each age group were systematically determined by multivariable models, and exploratory analyses examining potential effect modification by race-ethnicity and sex were assessed by interaction terms. Statistical analyses included complex design-corrected and weighted logistic regression analyses that provide results generalizable to the United States.
resultsPsychiatric and medical issues such as prior suicidal behavior, comorbid psychiatric disorders, and perceived cognitive impairment increased odds of mental health services use in younger, middle, and older age. Chronic medical conditions also influenced services use in younger and older age, with their impact on use across age potentially modified by racial-ethnic disparities (p interaction = 0.01). Moreover, socioeconomic factors like marital status influenced use in middle and older age, where being divorced, separated, widowed, or never married encouraged use. The effect of marital status on use across age was also potentially modified by racial-ethnic disparities (p interaction = 0.02).
conclusionsKey socioeconomic, social support, psychiatric, and medical predictors uniquely influence use of mental health services across the life course. These findings will help inform efforts to encourage greater services use by adults across the life course in need of care.
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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.