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Influence of sociodemographic factors on quality of life in women living in Lublin Province in Poland

THE AIM OF THE STUDY: The aim of the study is to evaluate the impact of sociodemographic factors on the quality of life (QOL) in 45-65-year-old women. MATERIAL AND METHODS: The research by means of a survey method, postal questionnaire technique, comprised 2143 women – a representative sample of the...

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Autores principales: Żołnierczuk-Kieliszek, Dorota, Kulik, Teresa B., Janiszewska, Mariola, Stefanowicz, Agata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4520331/
https://www.ncbi.nlm.nih.gov/pubmed/26327822
http://dx.doi.org/10.5114/pm.2014.41079
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author Żołnierczuk-Kieliszek, Dorota
Kulik, Teresa B.
Janiszewska, Mariola
Stefanowicz, Agata
author_facet Żołnierczuk-Kieliszek, Dorota
Kulik, Teresa B.
Janiszewska, Mariola
Stefanowicz, Agata
author_sort Żołnierczuk-Kieliszek, Dorota
collection PubMed
description THE AIM OF THE STUDY: The aim of the study is to evaluate the impact of sociodemographic factors on the quality of life (QOL) in 45-65-year-old women. MATERIAL AND METHODS: The research by means of a survey method, postal questionnaire technique, comprised 2143 women – a representative sample of the female population living in Lublin Province. Three standardized questionnaires – WHOQOL-BREF, Women's Health Questionnaire and SF-36 – as well as an original questionnaire were used as research tools. In statistical analysis Student's t-test for two groups, an analysis of variance, Dunnett's T3 test for multiple comparisons, a one-way analysis of variance (one-way ANOVA) and a stepwise logistic regression analysis were used. RESULTS: In the population of peri- and postmenopausal women a significantly better quality of life in comparison with the rest of the studied women was established in women aged 45-49 years, respondents living permanently in urban areas as well as better educated women, those with full-time employment, especially those doing intellectual work, women remaining in a long-lasting relationship, and women assessing their financial situation and living conditions as well. Logistic regression analysis showed that the strong predictors of poor quality of life were as follows: self-assessment of living conditions as poor, self-assessment of financial situation as poor, permanent place of residence in the country, lower education level (incomplete primary education, primary education). CONCLUSIONS: The group of women with worse quality of life should become the main addressee of preventive programmes and health policy programmes designed for peri- and postmenopausal women.
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spelling pubmed-45203312015-08-31 Influence of sociodemographic factors on quality of life in women living in Lublin Province in Poland Żołnierczuk-Kieliszek, Dorota Kulik, Teresa B. Janiszewska, Mariola Stefanowicz, Agata Prz Menopauzalny Original Paper THE AIM OF THE STUDY: The aim of the study is to evaluate the impact of sociodemographic factors on the quality of life (QOL) in 45-65-year-old women. MATERIAL AND METHODS: The research by means of a survey method, postal questionnaire technique, comprised 2143 women – a representative sample of the female population living in Lublin Province. Three standardized questionnaires – WHOQOL-BREF, Women's Health Questionnaire and SF-36 – as well as an original questionnaire were used as research tools. In statistical analysis Student's t-test for two groups, an analysis of variance, Dunnett's T3 test for multiple comparisons, a one-way analysis of variance (one-way ANOVA) and a stepwise logistic regression analysis were used. RESULTS: In the population of peri- and postmenopausal women a significantly better quality of life in comparison with the rest of the studied women was established in women aged 45-49 years, respondents living permanently in urban areas as well as better educated women, those with full-time employment, especially those doing intellectual work, women remaining in a long-lasting relationship, and women assessing their financial situation and living conditions as well. Logistic regression analysis showed that the strong predictors of poor quality of life were as follows: self-assessment of living conditions as poor, self-assessment of financial situation as poor, permanent place of residence in the country, lower education level (incomplete primary education, primary education). CONCLUSIONS: The group of women with worse quality of life should become the main addressee of preventive programmes and health policy programmes designed for peri- and postmenopausal women. Termedia Publishing House 2014-03-10 2014-03 /pmc/articles/PMC4520331/ /pubmed/26327822 http://dx.doi.org/10.5114/pm.2014.41079 Text en Copyright © 2014 Termedia http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Żołnierczuk-Kieliszek, Dorota
Kulik, Teresa B.
Janiszewska, Mariola
Stefanowicz, Agata
Influence of sociodemographic factors on quality of life in women living in Lublin Province in Poland
title Influence of sociodemographic factors on quality of life in women living in Lublin Province in Poland
title_full Influence of sociodemographic factors on quality of life in women living in Lublin Province in Poland
title_fullStr Influence of sociodemographic factors on quality of life in women living in Lublin Province in Poland
title_full_unstemmed Influence of sociodemographic factors on quality of life in women living in Lublin Province in Poland
title_short Influence of sociodemographic factors on quality of life in women living in Lublin Province in Poland
title_sort influence of sociodemographic factors on quality of life in women living in lublin province in poland
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4520331/
https://www.ncbi.nlm.nih.gov/pubmed/26327822
http://dx.doi.org/10.5114/pm.2014.41079
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