ReviewInnovation in aging2023
Suicide Risk Help-Seeking Among Middle- to Old-Age Adults: A Systematic Review.
Review in Innovation in aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Identifying distinct service use phenotypes across levels of suicidality and self-harm: a UK Biobank study.Npj mental health research · 2025Article
- Patterns of childhood trauma co-occurrence and its predictivity for suicidality: A machine learning approach.iScience · 2025Article
- Physical Health Problems as a Suicide Precipitant: Associations With Other Risk Factors and Suicide Methods in Three Age Groups of Older Decedents.Innovation in aging · 2023Article
- Examining the Mediating Role of Self-Efficacy in the Relationship Between Shyness and Help-Seeking Behavior among College Students.Chronic stress (Thousand Oaks, Calif.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objectives: Suicide has become a major public health concern worldwide and in the United States. Rates of suicide increase during the life course and are highest among middle- to old-age adults. Help-seeking represents a crucial coping mechanism that can mitigate suicide risk. Yet, less is known about suicide risk help-seeking, especially among these age groups. To address this knowledge gap, a systematic review of existing literature was performed to obtain a refined understanding of help-seeking for suicide risk among middle- to old-age adults. Research Design and Methods: Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, electronic databases and key journals with suicide and/or gerontology focuses were searched to identify peer-reviewed publications in English between 2010 and 2020. A total of 4 732 unduplicated publications were screened for relevance based on titles and abstracts, of which 52 were reviewed in full text. Results: Twenty-four articles met inclusion criteria and were included in the qualitative synthesis. These articles discussed a range of topics, including the prevalence of service utilization, service use prior to a suicide death, and correlates of help-seeking. In general, the prevalence of service utilization was low and varied by suicidal history (eg, higher prevalence among individuals with a history of suicide attempts than those with suicide ideation only). Key facilitators (eg, current or history of suicidal thoughts, plans, or attempts) and barriers (eg, stigma) for service use and help-seeking were also identified. Discussion and Implications: Findings highlight the need for future studies and tailored services to improve age-appropriate and culturally responsive suicide prevention and intervention strategies for middle- to old-age adults.
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Registered trials
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.