Evidence map›Paper›PMID 40312518›Full record

ArticleScientific reports2025

Correlation of gender with health related-quality of life of patients in 13 groups of disease in Poland.

Marlena Krawczyk-Suszek, Arkadiusz Gaweł, Andrzej Kleinrok

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Quality of life among women of reproductive age during the accumulation of multiple chronic conditions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  2. Article
  3. Review
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

3 authors.

Marlena Krawczyk-SuszekDepartment of Physiotherapy, Medical College, University of Information Technology and Management in Rzeszow, Rzeszow, Poland. m.krawczyk.umlub@gmail.com.
Arkadiusz GawełCollege of Applied Informatics, University of Information Technology and Management in Rzeszow, Rzeszow, Poland.
Andrzej KleinrokFaculty of Health Sciences, Vincent Pol University, Lublin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the WHO and domestic statistics, chronic diseases are one of the most common causes of disability in the Polish society, as well as in the world. The presence of the disease significantly reduces the quality of life (QoL), and gender is a factor determining the level of perceived health-related quality of life (HR-QoL), but there are no cross-sectional studies considering several disease entities. Ranking of diseases determining HR-QoL of patients in 13 different groups of disease entities by gender, assessed using the standardized tool for assessing the quality of life SF-36. A cross-sectional study was carried out in a group of 7620 patients. The criterion for inclusion in the study was a chronic disease and the lack of other comorbidities. 13 groups of disease entities were included in the study. The SF-36 questionnaire was used to assess HR-QoL. The analysis used hierarchical cluster analysis to identify disease groups that similarly impact HR-QoL levels. Logistic regression was used to assess the odds of experiencing better quality of life (OR) in the SF-36 dimensions, taking into account gender and Cohen's d was used as a measure of effect size. In the group of people burdened with chronic diseases, a better average quality of life is more often recorded in the group of men. The most significant differences in QoL are noted in thyroid (TD), renal and urinary (UD), gastrointestinal (DS) diseases. More often, the poorer quality of life of women is recorded in TD and DS (p < 0.05), in UD, the poorer quality of life is declared by men (p < 0.05). Gender significantly determines the level of perceived HR-QoL. Planning of the treatment and convalescence process in patients should consider gender differences and factors affecting HR-QoL. The ranking of diseases that most strongly reduce HR-QoL in Index Life Quality indicated that among women, diseases in the following order reduce HR-QoL most strongly: diseases of the nervous system (NS), cardiovascular disease (CVD) and cancers (CD). In the men's group, the order was as follows: the most HR-QoL-lowering diseases were CD, NS and CVD.

Indexed as

Quality of LifeAdultAgedChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPolandSex FactorsSurveys and QuestionnairesDiseasesGenderHealth-related quality of lifeSF-36

Identifiers

PMID40312518
PMCPMC12045954

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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.