Evidence map›Paper›PMID 40718272›Full record

ArticleCureus2025

A Retrospective Study of Demographic, Socio-Economic and Healthcare Access Disparities Among Patients With Depression in the USA.

Azka Iqbal, Richa Rajendrakumar Patel, Kawtar Haimeur, Geetha Aanagouni, Isha Samhitha Purama

Abstract read
In one paragraph

Article in Cureus, 2025. 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

5 authors.

Azka IqbalInternal Medicine, St. George's University, St. George's, GRD.
Richa Rajendrakumar PatelInternal Medicine, Baroda Medical College, Vadodara, IND.
Kawtar HaimeurGeneral Medicine, Mohammed VI University of Health and Sciences, Casablanca, MAR.
Geetha AanagouniInternal Medicine, MediCiti Institute of Medical Sciences, Medchal, IND.
Isha Samhitha PuramaInternal Medicine, Chalmeda Anand Rao Institute of Medical Sciences, Karimnagar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Depression is a multifactorial psychological condition influenced by a complex interplay of demographic, socioeconomic, and healthcare access factors. Understanding these associations is essential to develop effective, inclusive, and targeted mental health interventions. Globally, and particularly in the United States, disparities in mental healthcare organization and access contribute to unequal outcomes. Methodology This cross-sectional observational study utilized the 2021 Behavioral Risk Factor Surveillance System (BRFSS) dataset comprising 438,693 respondents across the United States. After applying exclusion criteria, 85,398 participants were included in the final analysis. Depression was the dependent variable, and independent variables included age, gender, race, education, employment, income, mental/physical health status, insurance type, and access to healthcare providers. Binomial logistic regression was used to calculate odds ratios (ORs), 95% confidence intervals (CIs), and p-values. Results Participants reporting 14 or more days of poor mental health had a significantly higher likelihood of depression (OR = 12.41; 95% CI: 11.77-13.08;

Indexed as

behavioural risk factor surveillance systemdemographic analysisdepressionhealthcare accessinsurance coveragemental healthodds ratiopublic health policysocio-economic status

Identifiers

PMID40718272
PMCPMC12296946

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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.