Evidence map›Paper›PMID 40739224›Full record

ArticleBMC public health2025

Beyond illness: how chronic conditions and unhealthy behaviors impact health-related quality of life among Iranian women.

Satar Rezaei

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

1 author.

Satar RezaeiResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran. satarrezaei@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth-related quality of life (HRQoL) is a vital measure of overall well-being and is influenced by chronic conditions and unhealthy lifestyle behaviors. This study aimed to investigate the impact of chronic conditions and unhealthy behaviors on HRQoL among Iranian women aged 18 years and older.

methodsA national cross-sectional study was conducted in 2024-2025 among 1,803 women from nine provinces in Iran using a convenience sampling method. Data were collected through face-to-face interviews using a structured questionnaire that included sociodemographic characteristics, lifestyle behaviors, chronic disease status, and the validated Iranian versions of the EQ-5D-5 L (hereafter referred to as EQ-5D) and EQ-VAS instruments to assess HRQoL. Given that the dependent variables (EQ-5D utility values and EQ-VAS scores) were not normally distributed and heteroscedasticity was detected, multivariable regression analyses were performed using a generalized linear model (GLM) with robust standard errors, adjusted age, marital status, level of education, place of birth, province, and self-assessed household economic status.

resultsApproximately 23.8% of participants reported at least one chronic condition. Women with chronic diseases had significantly lower EQ-5D index (mean = 0.62) and EQ-VAS scores (mean = 64.5) compared to those without (EQ-5D = 0.81, EQ-VAS = 76.1). Unhealthy behaviors, including poor physical activity, poor sleep quality, alcohol consumption, and smoking were all significantly associated with lower HRQoL scores (p-value < 0.05 in univariate analysis). Among these, poor sleep quality demonstrated the strongest negative association with both EQ-5D index and EQ-VAS scores. The GLM analyses indicated that chronic conditions and unhealthy behaviors, poor physical activity, poor sleep quality, and alcohol consumption were independently associated with significantly lower HRQoL after controlling for confounding factors.

conclusionChronic diseases and unhealthy lifestyle behaviors significantly diminish HRQoL among Iranian women. Public health interventions targeting these modifiable factors, especially improving sleep quality and promoting physical activity, are essential to enhance women's well-being in Iran and similar settings.

Indexed as

Health BehaviorQuality of LifeAdolescentAdultAgedChronic DiseaseCross-Sectional StudiesFemaleHumansIranLife StyleMiddle AgedSurveys and QuestionnairesYoung AdultChronic diseasesEQ-5D-5LHealth-related quality of lifeIranUnhealthy behaviorsWomen’s health

Identifiers

PMID40739224
PMCPMC12308968

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.