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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2014
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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 |
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. |
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