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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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Detalles Bibliográficos
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
Descripción
Sumario: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.