[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_-_employment]Search 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.v8i3.199]Search 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.v13i1.417]Search 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.2009.01.001]Search 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-z400062024834137]Search 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=y]Search 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/a003864725664474]Search 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.2018.01.00729609736]Search 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.2013.05.014383206023889855]Search 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: 10.1108/1361932111120231310.1108/13619321111202313]Search 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.a453528160534]Search 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: 10.1186/1471-2458-13-991.10.1186/1471-2458-13-991401544124144113]Search 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: PMC2205972]Search 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: PMC2080470]Search 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.48.4.33310599797964329]Search 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.26.4.8718]Search 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.0140017459684726445239]Search 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/S0047279414000397]Search 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/s00420-008-0304-6246750118264715]Search 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.w6.600]Search 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/dyt088378099723778574]Search 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.41.1.9]Search 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_2013]Search 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.174.4.33010533552]Search 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: 10.1177/016402750426857410.1177/0164027504268574239467018504506]Search 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.177.6.48611102321]Search 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/s00127-010-0222-2]Search 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)00020-5]Search 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/BF0332735112674491]Search 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: 10.2307/295535910.2307/2955359]Search 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 20th 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/ckx05128486676]Search 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.x20003090]Search 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: 10.1177/107319111774118810.1177/107319111774118829126348]Search 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: 10.1080/0168863840840119610.1080/016886384084011966699185]Search 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-032210-10454010.1146/annurev-clinpsy-032210-104540]Search in Google Scholar