Evidence map›Paper›PMID 37907211›Full record

ArticleJournal of aging and health2024

Racial Differences in Older Adult's Mental Health and Cognitive Symptomatology: Identifying Subgroups Using Multiple-Group Latent Class Analysis.

Se Hee Min, Maxim Topaz, Chiyoung Lee, Rebecca Schnall

Abstract read
In one paragraph

Article in Journal of aging and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Se Hee MinSchool of Nursing, Columbia University, New York, NY, USA.ORCID 0000-0003-2722-6627
Maxim TopazSchool of Nursing, Columbia University, New York, NY, USA.
Chiyoung LeeBothell School of Nursing & Health Studies, University of Washington, Bothell, WA, USA.ORCID 0000-0001-6860-452X
Rebecca SchnallSchool of Nursing, Columbia University, New York, NY, USA.

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
NINR NIH HHS T32 NR007969
6 · The paper itself

Abstract

introductionLittle is known on the potential racial differences in latent subgroup membership based on mental health and cognitive symptomatology among older adults.

methodsThis is a secondary data analysis of Wave 2 data from the National Social Life, Health, and Aging Project (

resultsClass 1: "Severe Cognition & Mild-Moderate Mood Impaired," Class 2: "Moderate Cognition & Mood Impaired," and Class 3: "Mild Cognition Impaired & Healthy Mood" were identified. Black older adults were more likely to be in Class 1 while White older adults were more likely to be in Class 2 and Class 3. DISCUSSION: Clinicians need to provide culturally-sensitive care when assessing and treating symptoms across different racial groups.

Indexed as

Latent Class AnalysisMental HealthAgedAged, 80 and overAnxietyBlack or African AmericanCognitionCognitive DysfunctionDepressionFemaleHumansLonelinessMaleUnited StatesWhiteagingcognitive functionmental healtholder adults

Identifiers

PMID37907211
PMCPMC11139013

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.