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Self-rated health status and associated factors in Ilam, west of Iran

Results of a population-based cross-sectional study

Bibliographic Data

ID22077745
AuthorsMohammad Bazyar (0000-0003-2543-1862, Medical University of Ilam), Hojatollah Kakaei (0000-0002-5607-7758, Medical University of Ilam), Hamed Azadi (0000-0002-3509-7215, Medical University of Ilam), Mohsen Jalilian (0000-0002-8138-9526, Medical University of Ilam), Mohammad Ali Mansournia (0000-0003-3343-2718, Tehran University of Medical Sciences), Kamran Malekan (Kurdistan University of Medical Sciences), Reza Pakzad (0000-0001-8133-3664, Medical University of Ilam, corresponding author)
Year2025
Volume12
Pages1435687-1435687
Publication date2025-01-07
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1435687
PMID39839384
OpenAlexW4406129704
LanguageEN
References cited33

Background: Self-rated health (SRH) is a single-item subjective indicator that asks individuals to assess their overall health and acts as a good indicator to reveal general health status. This study aimed to determine the SRH status and determining factors. Methods: This was a population-based cross sectional study conducted in Ilam city (West of Iran) in 2023. A total of 1,370 people were invited to participate in the study using multi-stage stratified cluster random sampling method. Demographic and SRH status data were collected by face-to-face interview. SRH was indicated by a single question in five scales of very good, good, fair, poor and very poor. Multiple ordinal logistic regression was used for data analysis. Results: The 59.38% (95% CI: 56.76 to 62) participants reported a good SRH status. By ordinal multiple logistic regression, odds ratio (OR) and 95% confidence interval (CI) was calculated and based on that, female gender [OR: 1.68 (1.29 to 2.20)], not having insurance coverage [OR: 1.35; (1.01 to 1.80)], history of job loss [OR: 1.72; (1.28 to 2.31)], hopelessness for the future [OR: 5.07; (3.96 to 6.49)], and having underlying diseases [OR: 2.95; (2.25 to 3.88)], were positively associated with poor SRH status. The Kurd race [OR: 0.45; (0.25 to 0.78)], higher economic status [OR: 0.72; (0.54 to 0.96)] and use of health care service [OR: 0.68; (0.53 to 0.88)] were negatively associated with poor SRH status. The most effective variables for poor SRH status were hopelessness about the future and suffering from underlying diseases. Conclusion: It is important to devise corrective measures and effective public health policies to address causes and factors associated with poor SRH. It is also necessary for local health officials to allocate financial resources and introduce other kinds of supportive initiatives to provide targeted support for those who are struggling with poverty and suffering chronic diseases

Cross-sectional study · Environmental health · Geography · Pathology · Population · Demography · Health and Well-being Studies · Health and Wellbeing Research · Health disparities and outcomes · Medicine

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