Evidence map›Paper›PMID 41624163›Full record

ArticleResearch in health and medicine2026

Cognitive Impairment and Depressive Symptoms Among Low-Income Hispanic and Non-Hispanic White Older Adults: A Cross-Sectional Analysis.

Cecil Latta, Janet Lopez, Dahee Kim, Kworweinski Lafontant, Nicole Haberland, Trucvy Nguyen, Ayse Malatyali, Ladda Thiamwong

Abstract read
In one paragraph

Article in Research in health and medicine, 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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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

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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.

Cecil LattaDepartment of Psychology, University of Central Florida, Orlando, FL, USA.
Janet LopezCollege of Nursing, University of Central Florida, Orlando, FL, USA.
Dahee KimCollege of Nursing, University of Central Florida, Orlando, FL, USA.
Kworweinski LafontantCollege of Nursing, University of Central Florida, Orlando, FL, USA.
Nicole HaberlandCollege of Medicine, University of Central Florida, Orlando, Florida, USA.
Trucvy NguyenCollege of Medicine, University of Central Florida, Orlando, Florida, USA.
Ayse MalatyaliCollege of Nursing, University of Central Florida, Orlando, FL, USA.
Ladda ThiamwongCollege of Nursing, University of Central Florida, Orlando, FL, USA.

Funding

Optimizing a technology-based body and mind intervention to prevent falls and reduce health disparities in low-income populations.R01MD018025 · NIMHD · UNIVERSITY OF CENTRAL FLORIDA · PI THIAMWONG, LADDA · 2022 to 2025
$3.0M
NIMHD NIH HHS R01 MD018025
6 · The paper itself

Abstract

Introduction: Hispanic older adults represent a rapidly growing demographic in the United States and may be disproportionately affected by cognitive impairment and depression. This study aimed to examine ethnic differences in the prevalence of cognitive impairment and depression among low-income Hispanic and non-Hispanic White older adults, and to explore the relationship between cognitive impairment and depressive symptoms within these groups. Methods: This cross-sectional study included 157 older adults (age = 76.3 ± 6.7 years, female = 133), recruited from independent living facilities and low-income community centers in Central Florida. The sample consisted of Hispanic (n = 91) and non-Hispanic White (n = 66) older adults. Cognitive impairment was assessed using the Memory Impairment Screen, and depression was measured using the Patient Health Questionnaire-9 (PHQ-9). Chi-square tests and Mann-Whitney U tests were used to analyze group differences. Results: A significant difference in cognitive impairment prevalence was found between ethnic groups (χ Conclusions: Cognitive impairment is more prevalent among low-income Hispanic older adults compared to their non-Hispanic White counterparts. These findings emphasize the need for culturally tailored interventions to improve cognitive health care access for older adults.

Indexed as

AgingCognitive functioningMental healthMinority populations

Identifiers

PMID41624163
PMCPMC12857904

What Socratic holds

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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 Socratic graph.