Evidence map›Paper›PMID 36820113›Full record

ArticleCureus2023

Association of Depression, Poor Mental Health Status and Asthma Control Patterns in US Adults Using a Data-Reductive Latent Class Method.

Chukwuemeka E Ogbu, Jayashree Ravilla, Menkeoma Laura Okoli, Onyekachi Ahaiwe, Stella C Ogbu, Eun Sook Kim, Russell S Kirby

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Prostaglandin FThe Journal of veterinary medical science · 2025
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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

7 authors at 4 institutions in 1 country.

Chukwuemeka E OgbuCollege of Public Health, University of South Florida, Tampa, USA.
Jayashree RavillaInternal Medicine, Monmouth Medical Center, Long Branch, USA.
Menkeoma Laura OkoliCollege of Public Health, University of South Florida, Tampa, USA.
Onyekachi AhaiweEpidemiology and Public Health, The University of Texas Health Science Center at Houston, Houston, USA.
Stella C OgbuBiomedical Sciences, Tulane University School of Medicine, New Orleans, USA.
Eun Sook KimCollege of Education, University of South Florida, Tampa, USA.
Russell S KirbyCollege of Public Health, University of South Florida, Tampa, USA.
Monmouth Medical Center · USThe University of Texas Health Science Center at Houston · USUniversity of South Florida · USTulane University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives To explore the association between depression, poor mental health status, and asthma control patterns among US adults using a latent class analysis (LCA) approach. Methods We used data from 10,337 adults aged 18 years and above from the 2016 Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-back Survey. Data-reductive LCA was used to derive asthma control patterns in the population using class variables indicative of asthma control. Besides univariate analysis, adjusted and unadjusted logistic regression models were used to examine the association of depression and poor mental health on the derived asthma control patterns.  Results About 27.8% of adults aged <55 reported depression, while 27.3% aged ≥55 years were depressed. The latent class prevalence of asthma control patterns was 42.8%, 31.1%, and 26.1%, corresponding to good, fair, and poor asthma control patterns, respectively. In adults aged <55 years, odds of depression (OR=1.52, 95% CI=1.27-1.82) and poor mental health (OR=1.58, 95% CI=1.27-1.96) were higher in the poor asthma control group compared to the good asthma control group. Odds for depression (OR=1.28, 95% CI=1.06-1.53) were also higher in the moderate asthma control group compared to the good asthma control group. Among those aged ≥55 years, depression odds (OR=1.57, 95% CI=1.31-1.87) were higher in only the poor asthma control group. Conclusions These findings may have public health implications. Detecting, screening, and treating depression and mental health disorders may help improve asthma control in people with asthma.

Indexed as

asthma controldepressionepidemiology and biostatisticslatent class analysispoor mental health

Identifiers

PMID36820113
PMCPMC9938719
OpenAlexW4317433776

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.