Employment status and other predictors of mental health and cognitive functions in older Croatian workers

1. Eurostat Statistics Explained. Europe 2020 indicators -employment [dislayed 25 March 2019]. Available at http://ec.europa.eu/eurostat/statistics-explained/index.php/Europe_2020_indicators_-_employmentSearch in Google Scholar

2. Galić Z, Šverko B. Effects of prolonged unemployment and reemployment on psychological and physical health. Rev Psychol 2008;15:3–10.Search in Google Scholar

3. Kerovec N. Poteškoće u zapošljavanju osoba starije dobi [Difficulties in employing elderly persons, in Croatian]. Rev Soc Polit 2001;8:267–77. doi: 10.3935/rsp.v8i3.19910.3935/rsp.v8i3.199Search in Google Scholar

4. Šverko B, Galić Z, Maslić Seršić D. Nezaposlenost i socijalna isključenost: longitudinalna studija [Unemployment and social exclusion: a longitudinal study, in Croatian]. Rev Soc Polit 2006;13:1–14. doi: 10.3935/rsp.v13i1.41710.3935/rsp.v13i1.417Search in Google Scholar

5. Paul KI, Moser K. Unemployment impairs mental health: Meta-analyses. J Vocat Behav 2009;74:264–82. doi: 10.1016/j.jvb.2009.01.00110.1016/j.jvb.2009.01.001Search in Google Scholar

6. Worach-Kardas H, Kostrzewski S. Quality of life and health state of long-term unemployed in older production age. App Res Qual Life 2014;9:335–53. doi: 10.1007/s11482-013-9240-z10.1007/s11482-013-9240-z400062024834137Search in Google Scholar

7. Wray LA. Mental health and labor force exits in older workers: the mediating or moderating roles of physical health and job factors. WP 2003-047 Michigan Retirement Research Center, University of Michigan, 2003 [displayed 25 March 2019]. Available at https://deepblue.lib.umich.edu/bitstream/handle/2027.42/50572/wp047.pdf?sequence=1&isAllowed=ySearch in Google Scholar

8. Boyce CJ, Wood AM, Daly M, Sedikides C. Personality change following unemployment. J Appl Psychol 2015;100:991–1011. doi: 10.1037/a003864710.1037/a003864725664474Search in Google Scholar

9. Mousteri V, Daly M, Delaney L. The scarring effect of unemployment on psychological well-being across Europe. Soc Sci Res 2018;72:146–69. doi: 10.1016/j.ssresearch.2018.01.00710.1016/j.ssresearch.2018.01.00729609736Search in Google Scholar

10. Leist AK, Glymour MM, Mackenbach JP, van Lenthe FJ, Avendano M. Time away from work predicts later cognitive function: differences by activity during leave. Ann Epidemiol 2013;23:455–62. doi: 10.1016/j.annepidem.2013.05.01410.1016/j.annepidem.2013.05.014383206023889855Search in Google Scholar

11. Fitch C, Hamilton S, Bassett P, Davey R. The relationship between personal debt and mental health: a systematic review. Mental Health Rev J 2011;16:153–66. doi: 10.1108/1361932111120231310.1108/13619321111202313Search in Google Scholar

12. Šlachtová H, Jiřík V, Tomášek I, Tomášková H. Environmental and socioeconomic health inequalities: a review and an example of the industrial Ostrava region. Cent Eur J Public Health 2016;24(Suppl):S26–32. doi: 10.21101/cejph.a453510.21101/cejph.a453528160534Search in Google Scholar

13. Silva M, Loureiro A, Cardoso G. Social determinants of mental health: a review of the evidence. Eur J Psychiat 2016;30:259–92.Search in Google Scholar

14. Jurcev-Savicevic A, Mulic R, Ban B, Kozul K, Bacun-Ivcek L, Valic J, Popijac-Cesar G, Marinovic-Dunatov S, Gotovac M, Simunovic A. Risk factors for pulmonary tuberculosis in Croatia: a matched case-control study. BMC Public Health 2013;13:991. doi: 10.1186/1471-2458-13-991.10.1186/1471-2458-13-991401544124144113Search in Google Scholar

15. Vončina L, Pristaš I, Mastilica M, Polašek O, Šošić Z, Stevanović R. Use of preventive health care services among the unemployed in Croatia. Croat Med J 2007;48:667–74. PMCID: PMC2205972Search in Google Scholar

16. Dragun A, Russo A, Rumboldt M. Socioeconomic stress and drug consumption: unemployment as an adverse health factor in Croatia. Croat Med J 2006;47:685–92. PMCID: PMC2080470Search in Google Scholar

17. Bartley M. Unemployment and ill health: understanding the relationship. J Epidemiol Community Health 1994;48:333–7. PMCID: PMC105997910.1136/jech.48.4.33310599797964329Search in Google Scholar

18. Škare M, Buterin V. Modelling and forecasting unemployment non-linear dynamics using spectral analysis. Inz Ekon 2015;26:373–83. doi: 10.5755/j01.ee.26.4.871810.5755/j01.ee.26.4.8718Search in Google Scholar

19. Bosque-Prous M, Espelt A, Sordo L, Guitart AM, Brugal MT, Bravo MJ. Job loss, unemployment and the incidence of hazardous drinking during the late 2000s recession in Europe among adults aged 50–64 years. PLoS One 2015;10(10):e0140017. doi: 10.1371/journal.pone.014001710.1371/journal.pone.0140017459684726445239Search in Google Scholar

20. Brandt M, Hank K. Scars that will not disappear: long-term associations between early and later life unemployment under different welfare regimes. J Soc Policy 2014;43:727–43. doi: 10.1017/S004727941400039710.1017/S0047279414000397Search in Google Scholar

21. Alavinia SM, Burdorf A. Unemployment and retirement and ill-health: a cross-sectional analysis across European countries. Int Arch Occup Environ Health 2008;82:39–45. doi: 10.1007/s00420-008-0304-610.1007/s00420-008-0304-6246750118264715Search in Google Scholar

22. Börsch-Supan A. Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 6. Release version: 6.0.0. SHARE-ERIC. Data set. 2018. doi: 10.6103/SHARE.w6.600Search in Google Scholar

23. Malter F, Börsch-Supan A, editors. SHARE Wave 6: Panel Innovations and Collecting Dried Blood Spots. Munich: Munich Center for the Economics of Aging (MEA); 2017.Search in Google Scholar

24. Börsch-Supan A, Brandt M, Hunkler C, Kneip T, Korbmacher J, Malter F, Schaan B, Stuck S, Zuber S. Data resource profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). Int J Epidemiol 2013;42:992–1001. doi: 10.1093/ije/dyt08810.1093/ije/dyt088378099723778574Search in Google Scholar

25. Malter F, Schuller K, Börsch-Supan A. SHARE Compliance Profiles - Wave 6. Munich: MEA, Max Planck Institute for Social Law and Social Policy; 2016.Search in Google Scholar

26. Smolić Š. The determinants of health among the population aged 50 and over: evidence from Croatia. Public Sector Economics 2017;41:85–108. doi: 10.3326/pse.41.1.910.3326/pse.41.1.9Search in Google Scholar

27. Eurostat Statistics Explained. International Standard Classification of Education (ISCED) [displayed 26 March 2019]. Available at http://ec.europa.eu/eurostat/statistics-explained/index.php/International_Standard_Classification_of_Education_(ISCED)#ISCED_1997_.28fields.29_and_ISCED-F_2013Search in Google Scholar

28. Prince MJ, Reischies F, Beekman AT, Fuhrer R, Jonker C, Kivela SL, Lawlor BA, Lobo A, Magnusson H, Fichter M, van Oyen H, Roelands M, Skoog I, Turrina C, Copeland JR. Development of the EURO-D scale - a European Union initiative to compare symptoms of depression in 14 European centres. Br J Psychiatry 1999;174:330–8. doi: 10.1192/bjp.174.4.33010.1192/bjp.174.4.33010533552Search in Google Scholar

29. Hughes ME, Waite LJ, Hawkley LC, Cacioppo JT. A short scale for measuring loneliness in large surveys: results from two population-based studies. Res Aging 2004;26:655–72. doi: 10.1177/016402750426857410.1177/0164027504268574239467018504506Search in Google Scholar

30. Malter F, Börsch-Supan A, editors. SHARE Wave 4 Innovations & Methodology. Munich: MEA, Max Planck Institute for Social Law and Social Policy; 2013.Search in Google Scholar

31. The R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; 2014.Search in Google Scholar

32. Piccinelli M, Wilkinson G. Gender differences in depression: Critical review. Br J Psychiatry 2000;177:486–92. doi: 10.1192/bjp.177.6.48610.1192/bjp.177.6.48611102321Search in Google Scholar

33. Romans S, Cohen M, Forte T. Rates of depression and anxiety in urban and rural Canada. Soc Psychiatry Psychiatr Epidemiol 2011;46:567–75. doi: 10.1007/s00127-010-0222-210.1007/s00127-010-0222-2Search in Google Scholar

34. Bailis DS, Segall A, Chipperfield JG. Two views of self-rated general health status. Soc Sci Med 2003;56:203–17. doi: 10.1016/S0277-9536(02)00020-510.1016/S0277-9536(02)00020-5Search in Google Scholar

35. Dominick KL, Ahern FM, Gold CH, Heller DA. Relationship of health-related quality of life to health care utilization and mortality among older adults. Aging Clin Exp Res 2002;14:499–508. doi: 10.1007/BF0332735110.1007/BF0332735112674491Search in Google Scholar

36. Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav 1997;38:21–37. doi: 10.2307/295535910.2307/2955359Search in Google Scholar

37. Lučanin D, Despot Lučanin J, Košćec Bjelajac A, Delale EA. Longitudinal psychosocial predictors of life satisfaction in old persons. In: Proceedings of the 20^th Psychology Days in Zadar; 19–21 May 2017. Zadar, Croatia. Zadar: University of Zadar; 2017. p. 115–25.Search in Google Scholar

38. Lachytova M, Katreniakova Z, Mikula P, Jendrichovsky M, Nagyova I. Associations between self-rated health, mental health problems and physical inactivity among urban adolescents. Eur J Public Health 2017;27:984–9. doi: 10.1093/eurpub/ckx05110.1093/eurpub/ckx05128486676Search in Google Scholar

39. Balash Y, Mordechovich M, Shabtai H. Merims D, Giladi N. Subjective memory decline in healthy community-dwelling elders. What does this complain mean? Acta Neurol Scand 2010;121:194–7. doi: 10.1111/j.1600-0404.2009.01159.x10.1111/j.1600-0404.2009.01159.x20003090Search in Google Scholar

40. Huang Z, Maurer J. Validity of self-rated memory among middle-aged and older chinese adults: results from the China Health and Retirement Longitudinal Study (CHARLS). Assessment 2017 Nov 1:1073191117741188. doi: 10.1177/107319111774118810.1177/107319111774118829126348Search in Google Scholar

41. Benton AL, Sivan AB. Problems and conceptual issues in neuropsychological research in aging and dementia. J Clin Neuropsychol 1984;6:57–63. doi: 10.1080/0168863840840119610.1080/016886384084011966699185Search in Google Scholar

42. Klein DN, Kotov R, Bufferd SJ. Personality and depression: explanatory models and review of the evidence. Ann Rev Clin Psychol 2011;7:269–95. doi: 10.1146/annurevclinpsy-032210-104540Search in Google Scholar