Evidence map›Paper›PMID 39026200›Full record

ArticleBMC pulmonary medicine2024

Understanding the determinants of self-reported asthma in Turkey: insights from national data on individual, lifestyle, socioeconomic, and healthcare access factors.

Aslı Davas, Meltem Çiçeklioğlu

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 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

2 authors.

Aslı DavasDepartment of Public Health, Ege University Faculty of Medicine, Bornova, Izmir, Türkiye, 35100.
Meltem ÇiçeklioğluDepartment of Public Health, Ege University Faculty of Medicine, Bornova, Izmir, Türkiye, 35100. meltem.ciceklioglu@ege.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma, influenced by genetic, environmental, and social factors is leading to poor outcomes and preventable mortality due to inadequate care and limited access to effective treatments. This study aimed to analyze self-reported asthma prevalence in Turkey, focusing on its determinants, such as individual factors, lifestyle, socioeconomic status, and healthcare access.This study conducts a secondary analysis of the 2019 Turkiye Health Survey (THS), employing a nationally representative cross-sectional design by the Turkish Statistical Institute. The sampling utilized a stratified, two-stage cluster sampling method, with data from 16,976 adults (aged 15 years and older) analyzed for asthma determinants. The independent variables are categorized into four domains: individual factors, lifestyle assessment, socioeconomic factors, and access to the healthcare services.The prevalence of asthma is 9.8%, varying significantly across demographics. Higher asthma rates are observed among older, divorced/widowed individuals, those with communication difficulties, and obese individuals. Cost-related unmet healthcare needs and appointment scheduling delays increase asthma risk. Logistic regression models identified age, marital status, obesity, education level, and healthcare access as significant predictors of asthma.This study underscores the multifaceted determinants of asthma in Turkey, highlighting the necessity for targeted interventions addressing individual, lifestyle, socioeconomic, and healthcare access factors.

Indexed as

AsthmaHealth Services AccessibilityLife StyleSelf ReportSocioeconomic FactorsAdolescentAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedPrevalenceAsthmaHealthcare accessInequityLifestyle factorsSocioeconomic determinantsUnmet need

Identifiers

PMID39026200
PMCPMC11256495

What OpenQuestion holds

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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.