Health-related Quality of Life and Socio-economic Status of the Unemployed

dc.contributor.authorPuciato, Daniel
dc.contributor.authorRozpara, Michał
dc.contributor.authorBugdol, Marek
dc.contributor.authorOleśniewicz, Piotr
dc.contributor.authorJáčová, Helena
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2020-09-02T09:42:29Z
dc.date.available2020-09-02T09:42:29Z
dc.description.abstractUnemployment has a number of negative, economic, social and psychological effects on unemployed people and their families. Lowered household income leads to a constrained fulfilment of individual and collective needs, which has a significant impact on the quality of life and perceived health condition of the unemployed. The aim of this study is the identification of relationships between the quality of life and socio-economic status of unemployed persons. The study was carried out among 403 registered unemployed persons (246 women, 157 men) from Wrocław, Poland. The main method used in the study was the diagnostic questionnaire survey. Respondents’ quality of life was assessed using the World Health Organization Quality of Life (WHOQOL-BREF) questionnaire, and their socio-economic status with author’s own S-ESQ questionnaire. Arithmetic means and standard deviation were calculated. Correlations between respondents’ quality of life and socio-economic status were checked with the Kruskal-Wallis one-way analysis of variance and Dunn’s post-hoc tests. The ex-ante level of statistical significance was set at α < 0.05. The mean health-related quality of life score of the unemployed respondents under study was higher than the mean perceived health condition score. As for the four quality of life domains, the respondents reported the highest scores in the social domain and psychological domain, followed by the physical and environmental domains. The analysis of mean scores of overall quality of life of the unemployed revealed statistically significant differences between groups of jobless Wrocław residents with regard to such factors as age, number of household members, and per capita income. Respondents’ age, education, marital status, persons per household, per capital income, and having savings were also significant differentiating factors of perceived health condition. The results of the study can be significant for public health policies in Poland and other countries at a similar level of economic development.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2020-3-002
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/157478
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonBlomgren, J., & Valkonen, T. (2007). Characteristics of urban regions and all-cause mortality in working-age population: Effects of social environment and interactions with individual unemployment. Demographic Research, 17, 109–134. https://doi.org/10.4054/DemRes.2007.17.5
dc.relation.isbasedonBrzeziński, J. (2011). Methodology of psychological research. Warsaw: PWN.
dc.relation.isbasedonBucur, A. (2015). How can we apply the models of the quality of life and the quality of life management in an economy based on knowledge? Economic Research – Ekonomska Istrazivanja, 30(1), 629–646. https://doi.org/10.1080/1331677X.2017.1314821
dc.relation.isbasedonBuffel, V., Missinne, S., & Bracke, P. (2017). The social norm of unemployment in relation to mental health and medical care use: the role of regional unemployment levels and of displaced workers. Work, Employment and Society, 31(3), 501–521. https://doi.org/10.1177/0950017016631442
dc.relation.isbasedonBugdol, M., & Jedynak, P. (2015). Integrated management systems. Cham: Springer. https://doi.org/10.1007/978-3-319-10028-9
dc.relation.isbasedonCentral Statistical Office. (2016). Economic activity of the population aged 15 and more by age and educational level. Wrocław: GUS. Retrieved October 9, 2016, from http://Wrocław.stat.gov.pl/rynek-pracy-wynagrodzenia-i-swiadczenia-410
dc.relation.isbasedonCarlier, B., Schuring, M., Lötters, F., Bakker, B., Borgers, N., & Burdor, A. (2013). The influence of re-employment on quality of life and self-rated health, a longitudinal study among unemployed persons in the Netherlands. BMC Public Health, 13(1), 503–509. https://doi.org/10.1186/1471-2458-13-503
dc.relation.isbasedonChinweuba, A., Okoronkwo, I., Anarado, A., Agbapuonwu, N., Ogbonnaya, N., & Ihudiebube-Splendor, C. (2018). Differentials in health-related quality of life of employed and unemployed women with normal vaginal delivery. BMC Women’s Health, 18, 13. https://doi.org/10.1186/s12905-017-0481-0
dc.relation.isbasedonClemens, T., Popham, F., & Boyle, P. (2015). What is the effect of unemployment on all-cause mortality? A cohort study using propensity score matching. European Journal of Public Health, 25(1), 115–121. https://doi.org/10.1093/eurpub/cku136
dc.relation.isbasedonCzapiński, J., & Panek, T. (2015). Social diagnosis 2015, Conditions and quality of life of Poles. Quarterly of University of Finance and Management in Warsaw, 9(4), 56–59.
dc.relation.isbasedonCzekirda, M., Chruściel, P., Czekirda, N., & Jarosz, M. (2017). Psychosocial aspect of quality of life among working and unemployed nurses and midwives. Annals of Agricultural and Environmental, 24(3), 472–476. https://doi.org/10.5604/12321966.1235172
dc.relation.isbasedonČabla, A. (2016). Minimal adequate model of unemployment duration in the post-crisis Czech Republic. Statistics and Economy Journal, 96(1), 50–62.
dc.relation.isbasedonČabla, A., & Malá, I. (2017). Modelling of unemployment duration in the Czech Republic. Prague Economic Papers, 26(4), 438–449. https://doi.org/10.18267/j.pep.620
dc.relation.isbasedonČernáková, V., & Hudec, O. (2012). Quality of life: Typology of European cities based on cluster analysis. E&M Economics and Management, 15(4), 34–48.
dc.relation.isbasedonDe Graaf, J. (2010). Less work, more life. Progressive, 74(9), 22–24.
dc.relation.isbasedonDurmaz, T., Ozdemir, O., Ozdemir, B., Keles, T., Bayram, N., & Bozkurt, E. (2009). Factors affecting quality of life in patients with coronary heart disease. Turkish Journal of Medical Sciences, 39(3), 343–351. https://doi.org/10.3906/sag-0901-26
dc.relation.isbasedonGriep, Y., Kinnunen, U., Nätti, J., De Cuyper, N., Mauno, S., Mäkikangas, A., & De Witte, H. (2016). The effects of unemployment and perceived job insecurity: a comparison of their association with psychological and somatic complaints, self-rated health and life satisfaction. International Archives of Occupational and Environmental Health, 89(1), 147–162. https://doi.org/10.1007/s00420-015-1059-5
dc.relation.isbasedonHeggebo, K. (2016). Health effects of unemployment in Denmark, Norway and Sweden 2007–2010: Differing economic conditions, differing results? International Journal of Health Services, 46(3), 406–429. https://doi.org/10.1177/0020731416636365
dc.relation.isbasedonHuang, W., Yu, H., Liu, C., Liu, G., Wu, Q., Zhou, J., Zhang, X., Zhao, X., Shi, L., & Xu, X. (2017). Assessing health-related quality of life of Chinese adults in Heilongjiang using EQ-5D-3L. International Journal of Environmental Research and Public Health, 14(3), 224–239. https://doi.org/10.3390/ijerph14030224
dc.relation.isbasedonJanković, J., Janević, T., & von dem Knesebeck, O. (2012). Socioeconomic inequalities, health damaging behavior, and self-perceived health in Serbia: a cross-sectional study. Croatian Medical Journal, 53(3), 254–262. https://doi.org/10.3325/cmj.2012.53.254
dc.relation.isbasedonKahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.
dc.relation.isbasedonKawada, T. (2018). Unemployment, precarious employment and health in young people. Scandinavian Journal of Public Health, 46(3), S382. https://doi.org/10.1177/1403494817720104
dc.relation.isbasedonKokaliari, E. (2016). Quality of life, anxiety, depression, and stress among adults in Greece following the global financial crisis. International Social Work, 61(3), 1–15. https://doi.org/10.1177/0020872816651701
dc.relation.isbasedonKolasa, A., Premik, F., & Tyrowicz, J. (2016). Financial situation of the household sector in the fourth quarter of 2015. Warsaw: National Bank of Poland.
dc.relation.isbasedonKrupka, J., Kasparova, M., & Jirava, P. (2010). Quality of life modelling based on decision trees. E&M Economics and Management, 13(3), 130–146.
dc.relation.isbasedonKrypel, M. N., & Henderson-King, D. (2010). Stress, coping styles, and optimism: are they related to meaning of education in students’ lives? Social Psychology of Education, 13(3), 409–424. https://doi.org/10.1007/s11218-010-9132-0
dc.relation.isbasedonKurtinová, O. (2015). Self-perceived health in the Czech population: recent evidence. Central European Journal of Public Health, 23(1), 45–53. https://doi.org/10.21101/cejph.a3996
dc.relation.isbasedonLee, J. J. (2005). An exploratory study on the quality of life of older Chinese people living alone in Hong Kong. In D. T. Shek, Y. K. Chan, & P. S. Lee (Eds.), Quality-of-Life Research in Chinese, Western and Global Contexts. Social Indicators Research Series (Vol. 25, pp. 335–361). Dordrecht: Springer. https://doi.org/10.1007/1-4020-3602-7_11
dc.relation.isbasedonLeonardi, M., Guido, D., Quintas, R., Silvaggi, F., Guastafierro, E., Martinuzzi, A., Chatterji, S., Koskinen, S., Tobiasz-Adamczyk, B., Haro, J., Cabello, M., & Raggi, A. (2018). Factors related to unemployment in Europe. A cross-sectional study from the COURAGE Survey in Finland, Poland and Spain. International Journal of Environmental Research and Public Health, 15(4), 722–742. https://doi.org//10.3390/ijerph15040722
dc.relation.isbasedonLewis, A., Pihlak, R., & McNamara, M. (2018). The importance of quality-of-life management in patients with advanced pancreatic ductal adenocarcinoma. Current Problems in Cancer, 42(1), 26–39. https://doi.org/10.1016/j.currproblcancer.2018.01.013
dc.relation.isbasedonMadureira-Lima, J., Reeves, A., Clair, A., & Stuckler, D. (2018). The Great Recession and inequalities in access to health care: a study of unemployment and unmet medical need in Europe in the economic crisis. International Journal of Epidemiology, 47(1), 58–68. https://doi.org/10.1093/ije/dyx193
dc.relation.isbasedonMeneton, P., Plessz, M., Courtin, E., Ribet, C., Goldberg, M., & Zins, M. (2017). Unemployment as a major public health issue. La Revue de l’Ires, 91–92(1), 141–154. Retrieved from https://www.cairn.info/journal-revue-de-l-ires-2017-1-page-141.htm
dc.relation.isbasedonMichalos, A. C., & Orlando, J. A. (2006). Quality of life of some under-represented survey respondents: youth, aboriginals and unemployed. Social Indicators Research, 79(2), 191–213. https://doi.org/10.1007/s11205-005-4717-2
dc.relation.isbasedonMilner, A., Page, A., & LaMontagne, A. D. (2014). Cause and effect in studies on unemployment, mental health and suicide: a meta-analytic and conceptual review. Psychological Medicine, 44(5), 909–917. https://dx.doi.org/10.1017/S0033291713001621
dc.relation.isbasedonMinelli, L., Pigini, C., Chiavarini, M., & Bartolucci F. (2014). Employment status and perceived health condition: longitudinal data from Italy. BMC Public Health, 14(1), 946. https://doi.org/10.1186/1471-2458-14-946
dc.relation.isbasedonOana, O., & Cosmin, T. (2017). Aspects of population savings and quality of life in Romania. Ovidius University Annals, Series Economic Sciences, 17(1), 205–210. Retrieved from http://stec.univ-ovidius.ro/html/anale/ENG/2017/Section-III/15.pdf
dc.relation.isbasedonOpoku-Boateng, Y. N., Kretchy, I. A., Aryeetey, G. C., Dwomoh, D., Decker, S., Agyemang, S. A., Tozan, Y., Aikins, M., & Nonvignon, J. (2017). Economic cost and quality of life of family caregivers of schizophrenic patients attending psychiatric hospitals in Ghana. BMC Health Services Research, 17(2), 697. https://doi.org/10.1186/s12913-017-2642-0
dc.relation.isbasedonØverland, S., Glozier, N., Mæland, J. G., Aarø, L., & Mykletun, A. (2006). Employment status and perceived health in the Hordaland Health Study (HUSK). BMC Public Health, 6(2), 219. https://doi.org/10.1186/1471-2458-6-219
dc.relation.isbasedonPacáková, V., & Kopecká, L. (2018). Inequalities in health status depending on socio-economic situation in the European countries. E&M Economics and Management, 21(2), 4–20. https://dx.doi.org/10.15240/tul/001/2018-2-001
dc.relation.isbasedonPuciato, D., Rozpara, M., Mynarski, W., Łoś, A., & Królikowska, B. (2013). Physical activity of adult residents of Katowice and selected determinants of their occupational status and socio-economic characteristics. Medycyna Pracy, 64(5), 649–657. https://doi.org/10.13075/mp.5893.2013.0064
dc.relation.isbasedonRaymakers, A. J. N., Gillespie, P., O’Hara, M. C., Griffin, M. D., & Dinneen, S. F. (2018). Factors influencing health-related quality of life in patients with Type 1 diabetes. Health and Quality of Life Outcomes, 16(1), 27. https://dx.doi.org/10.1186/s12955-018-0848-4
dc.relation.isbasedonRėklaitienė, R., Bacevičienė, M., & Andrijauskas, K. (2009). Quality of life in Lithuanian population: the impact of country residence and socio-economic status. Central European Journal of Medicine, 4(4), 476–482. https://dx.doi.org/10.2478/s11536-009-0058-x
dc.relation.isbasedonSarti, S., & Rodriguez Espinola, S. (2018). Health inequalities in Argentina and Italy: A comparative analysis of the relation between socio-economic and perceived health conditions. Research in Social Stratification and Mobility, 55, 89–98. https://dx.doi.org/10.1016/j.rssm.2018.04.004
dc.relation.isbasedonSedlak, P., & Sedlak, K. (2016). National Remuneration Survey conducted by Sedlak & Sedlak in 2015. Warsaw: Sedlak & Sedlak. Retrieved October 9, 2016, from https://sedlak.pl/zarobki
dc.relation.isbasedonSłaby, T. (2017). Conditions of the life quality – methodological remarks. Economic and Environmental Studies, 17(2), 297–317. https://doi.org/10.25167/ees.2017.42.9
dc.relation.isbasedonSławińska, T., Posłuszny, P., & Rożek, T. (2013). Relationship between physical fitness and quality of life in adults and the elderly. Human Movement, 14(3), 200–204. https://doi.org/10.2478/humo-2013-0023
dc.relation.isbasedonSołtysik, B., Kroc, Ł., Pigłowska, M., Guligowska, A., Śmigielski, J., & Kostka, T. (2017). An evaluation of the work and life conditions and the quality of life in 60 to 65 year-old white-collar employees, manual workers, and unemployed controls. Journal of Occupational and Environmental Medicine, 59(5), 461–466. https://dx.doi.org/10.1097/JOM.0000000000001029
dc.relation.isbasedonShahidi, F. V., Siddiqi, A., & Muntaner, C. (2016). Does social policy moderate the impact of unemployment on health? A multilevel analysis of 23 welfare states. European Journal of Public Health, 26(6), 1017–1022. https://dx.doi.org/10.1093/eurpub/ckw050
dc.relation.isbasedonTanvir, S., Sajjad, S., & Roshan, R. (2018). Awareness levels of prevention of cardiac diseases in general population of Rawalpindi and requirement of health education. Public Health, 157, 107–110. https://doi.org/10.1016/j.puhe.2018.01.006
dc.relation.isbasedonTøge, A. G. (2016). Health effects of unemployment in Europe (2008–2011): a longitudinal analysis of income and financial strain as mediating factors. International Journal for Equity in Health, 15(1), 75. https://dx.doi.org/10.1186/s12939-016-0360-6
dc.relation.isbasedonTran, T. V., Canfield, J., & Chan, K. (2016). The association between unemployment status and physical health among veterans and civilians in the United States. Social Work in Health Care, 55(9), 720–731. https://dx.doi.org/10.1080/00981389.2016.1191582
dc.relation.isbasedonWorach-Kardas, H., & Kostrzewski, S. (2014). Quality of life and health state of long-term unemployed in older production age. Applied Research Quality Life, 9(2), 335–353. https://dx.doi.org/10.1007/s11482-013-9240-z
dc.relation.isbasedonWorld Health Organization. (2014). The World Health Organization Quality of Life (WHOQOL). Geneva: WHO. Retrieved July 9, 2014, from http://www.who.int/healthinfo/surveyWHOQOL_BREF.pdf
dc.relation.isbasedonWróblewska, I., Oleśniewicz, P., Kurpas, D., Sołtysik, M., & Błaszczuk, J. (2015). Analysis of spirometry results in hospitalized patients aged over 65 years. Clinical Interventions in Aging, 10, 1071–1076. https://doi.org/10.2147/CIA.S85387
dc.relation.isbasedonVan Zon, S. K. R., Reijneveld, S. A., Mendes de Leon, C. F., & Bültmann, U. (2017). The impact of low education and poor health on unemployment varies by work life stage. International Journal of Public Health, 62(9), 997–1006. https://dx.doi.org/10.1007/s00038-017-0972-7
dc.relation.isbasedonVoss, M. W., Wadsworth, L. L, Birmingham, W., Merryman, M. B., Crabtree, L., Subasic, K., & Hung, M. (2018). Health effects of late-career unemployment. Quality of Life Research, 27, S87. https://doi.org/10.1177/0898264318806792
dc.relation.isbasedonVossemer, J., Gebel, M., Täht, K., Unt, M., Högberg, B., & Strandh, M. (2018). The effects of unemployment and insecure jobs on well-being and health: The moderating role of labor market policies. Social Indicators Research, 138(3), 1229–1257. https://dx.doi.org/10.1007/s11205-017-1697-y
dc.relation.isbasedonYang, X., Yao, L., Wu, H., Wang, Y., Liu, L., Wang, J., & Wang, L. (2016). Quality of life and its related factors in Chinese unemployed people: A population-based cross-sectional study. International Journal of Environmental Research and Public Health, 13(8), 797. https://dx.doi.org/10.3390/ijerph13080797
dc.relation.isbasedonZhang, C., & de Figueiredo, J. M. (2018). Are recessions good for government hires? The effect of unemployment on public sector human capital. Economics Letters, 170, 1–5. https://doi.org/10.1016/j.econlet.2018.05.008
dc.relation.isbasedonZhang, Y., Ou, F., Gao, S., Gao, Q., Hu, L., & Liu, Y. (2015). Effect of low income on health-related quality of life: A cross-sectional study in Northeast China. Asia-Pacific Journal of Public Health, 27(2), 1013–1025. https://dx.doi.org/10.1177/1010539513496839.
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectQuality of lifeen
dc.subjectWHOen
dc.subjectunemployeden
dc.subject.classificationI31
dc.subject.classificationJ10
dc.subject.classificationJ60
dc.titleHealth-related Quality of Life and Socio-economic Status of the Unemployeden
dc.typeArticleen
local.accessopen
local.citation.epage37
local.citation.spage23
local.facultyFaculty of Economics
local.filenameEM_3_2020_2
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue23
local.relation.volume3
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
EM_3_2020_02.pdf
Size:
756.24 KB
Format:
Adobe Portable Document Format
Description:
článek
Collections