Murray JC. Quantifying the burden of disease: the technical basis for disability adjusted life years. Bull World Health Organ. 1994;72:429–45.
CAS
PubMed
PubMed Central
Google Scholar
Murray JC, Lopez AD. The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected on to 2020, vol. 1. Boston: Harvard University Press; 1996.
Google Scholar
Mykletun A, Overland S, Dahl AA, Krokstad S, Bjerkeset O, Glozier N, et al. A population-based cohort study of the effect of common mental disorders on disability pension awards. Am J Psychiatry. 2006;163:1412–8.
Article
PubMed
Google Scholar
OECD. Working paper awp 3.4. retirement income systems. Paris: The Reform Process Across OECD Countries; 1998.
Google Scholar
OECD. Pensions at a glance 2009. Paris: Retirement income systems in OECD countries; 2006.
Google Scholar
Kessler RC, Demler O, Frank RG, Olfson M, Pincus HA, Walters EE, et al. Prevalence and treatment of mental disorders, 1990 to 2003. New Engl J Med. 2005;352:2515–23.
Article
CAS
PubMed
PubMed Central
Google Scholar
Borg V, Nexo MA, Kolte IV, Andersen MA. White paper on mental health, sickness absence and return to work [translated from Danish: hvidbog om mentalt helbred, sygefravær og tilbagevenden til arbejde]. Copenhagen: The National Research Center for the Working Environment; 2010.
Google Scholar
Gjesdal S, Ringdal PR, Haug K, Maeland JG. Long-term sickness absence and disability pension with psychiatric diagnoses: a population-based cohort study. Nord J Psychiatry. 2008;62:294–301.
Article
PubMed
Google Scholar
Karlsson NE, Carstensen JM, Gjesdal S, Alexanderson KA. Risk factors for disability pension in a population-based cohort of men and women on long-term sick leave in Sweden. Eur J Public Health. 2008;18:224–31.
Article
PubMed
Google Scholar
Kivimaki M, Ferrie JE, Hagberg J, Head J, Westerlund H, Vahtera J, et al. Diagnosis-specific sick leave as a risk marker for disability pension in a Swedish population. J Epidemiol Community Health. 2007;61:915–20.
Article
PubMed
PubMed Central
Google Scholar
Vaez M, Rylander G, Nygren A, Asberg M, Alexanderson K. Sickness absence and disability pension in a cohort of employees initially on long-term sick leave due to psychiatric disorders in Sweden. Soc Psychiatry Psychiatr Epidemiol. 2007;42:381–8.
Article
PubMed
Google Scholar
Wallman T, Wedel H, Palmer E, Rosengren A, Johansson S, Eriksson H, et al. Sick-leave track record and other potential predictors of a disability pension. a population based study of 8,218 men and women followed for 16 years. BMC Public Health. 2009;9:104.
Article
PubMed
PubMed Central
Google Scholar
Ippolito RA. Toward explaining earlier retirement after 1970. Indus Labor Rel Review. 1990;43:556–69.
Article
Google Scholar
Pedersen L, Tranæs T. The Danish labour market [translated from Danish: Det danske arbejdsmarked]. Copenhagen: The National Institute of Social Research; 2004.
Google Scholar
OECD. Pensions at a glance: OECD and G20 indicators. Paris: OECD publishing; 2013.
Book
Google Scholar
Statistics Denmark. People on Public Benefits [Translated from Danish: Offentligt forsørgede]. http://www.dst.dk/da/Statistik/emner/offentligt-forsoergede.aspx. (Accessed June 29, 2015)
Jensen LD, Ryom PK, Christensen MV, Andersen JH. Differences in risk factors for voluntary early retirement and disability pension: a 15-year follow-up in a cohort of nurses’ aides. Bmj Open. 2012;2:6.
Google Scholar
Nielsen TM. Transition into voluntary early retirement [Translated from Danish: Overgang til efterløn]. Copenhagen: Danmarks Statistik; 2005.
Google Scholar
Shultz KS, Morton KR, Weckerle JR. The influence of push and pull factors on voluntary and involuntary early retirees’ retirement decision and adjustment. J Vocat Behav. 1998;53:45–57.
Article
Google Scholar
Siegrist J, Wahrendorf M, von dem Knesebeck O, Juerges H, Borsch-Supan A. Quality of work, well-being, and intended early retirement of older employees - baseline results from the SHARE Study. Eur J Public Health. 2007;17:62–8.
Article
PubMed
Google Scholar
von Bonsdorff ME, Huuhtanen P, Tuomi K, Seitsamo J. Predictors of employees’ early retirement intentions: an 11-year longitudinal study. Occup Med-Oxford. 2010;60:94–100.
Article
Google Scholar
Olesen SC, Butterworth P, Rodgers B. Is poor mental health a risk factor for retirement? findings from a longitudinal population survey. Soc Psychiatry Psychiatr Epidemiol. 2012;47:735–44.
Article
PubMed
Google Scholar
Pit SW, Shrestha R, Schofield D, Passey M. Health problems and retirement due to ill-health among Australian retirees aged 45–64 years. Health Policy. 2010;94:175–81.
Article
PubMed
Google Scholar
Sejbaek CS, Nexo MA, Borg V. Work-related factors and early retirement intention: a study of the Danish eldercare sector. Eur J Public Health. 2013;23:611–6.
Article
PubMed
Google Scholar
Belsher G, Costello CG. Relapse after recovery from unipolar depression - a critical-review. Psychol Bull. 1988;104:84–96.
Article
CAS
PubMed
Google Scholar
American Psychiatric Association. Diagnostic and statistical manual of mental disorders. Washington DC: American Psychiatric Association; 2000.
Google Scholar
World Health Organization. International classification of diseases. 10th revision. Geneva: WHO; 2010.
Google Scholar
Sanderson K, Tilse E, Nicholson J, Oldenburg B, Graves N. Which presenteeism measures are more sensitive to depression and anxiety? J Affect Disord. 2007;101:65–74.
Article
PubMed
Google Scholar
Schultz AB, Edington DW. Employee health and presenteeism: a systematic review. J Occup Rehabil. 2007;17:547–79.
Article
PubMed
Google Scholar
Hjarsbech PU, Andersen RV, Christensen KB, Aust B, Borg V, Rugulies R. Clinical and non-clinical depressive symptoms and risk of long-term sickness absence among female employees in the Danish eldercare sector. J Affect Disord. 2011;129:87–93.
Article
PubMed
Google Scholar
Thorsen SV, Rugulies R, Hjarsbech PU, Bjorner JB. The predictive value of mental health for long-term sickness absence: the Major Depression Inventory (MDI) and the Mental Health Inventory (MHI-5) compared. BMC Med Res Methodol. 2013;13:115.
Article
PubMed
PubMed Central
Google Scholar
Doshi JA, Cen L, Polsky D. Depression and retirement in late middle-aged U.S. workers. Health Serv Res. 2008;43:693–713.
Article
PubMed
PubMed Central
Google Scholar
Karpansalo M, Kauhanen J, Lakka TA, Manninen P, Kaplan GA, Salonen JT. Depression and early retirement: prospective population based study in middle aged men. J Epidemiol Community Health. 2005;59:70–4.
Article
CAS
PubMed
PubMed Central
Google Scholar
Ng TWH, Feldman DC. How do within-person changes due to aging affect job performance? J Vocat Behav. 2013;83:500–13.
Article
Google Scholar
Beehr TA. The process of retirement - a review and recommendations for future investigation. Pers Psychol. 1986;39:31–55.
Article
Google Scholar
Topa G, Moriano JA, Depolo M, Alcover CM, Morales JF. Antecedents and consequences of retirement planning and decision-making: a meta-analysis and model. J Vocat Behav. 2009;75:38–55.
Article
Google Scholar
Harkonmaki K, Rahkonen O, Martikainen P, Silventoinen K, Lahelma E. Associations of SF-36 mental health functioning and work and family related factors with intentions to retire early among employees. Occup Environ Med. 2006;63:558–63.
Article
CAS
PubMed
PubMed Central
Google Scholar
Harkonmaki K, Lahelma E, Martikainen P, Rahkonen O, Silventoinen K. Mental health functioning (SF-36) and intentions to retire early among ageing municipal employees: the Helsinki health study. Scand J Public Health. 2006;34:190–8.
Article
PubMed
Google Scholar
Borg V, Carneiro IG, Clausen T, Faber A. The working environment in the eldercare sector in Denmark. Results and conclusions [Translated from Danish: Arbejdsmiljø i ældreplejen i Danmark. Resultater og konklusioner]. Copenhagen: The National Research Center for the Working Environment; 2007.
Google Scholar
Rugulies R, Madsen IEH, Hjarsbech PU, Hogh A, Borg V, Carneiro IG, et al. Bullying at work and onset of a major depressive episode among Danish female eldercare workers. Scand J Work Env Hea. 2012;38:218–27.
Article
Google Scholar
Cuijpers P, Dekker J, Noteboom A, Smits N, Peen J. Sensitivity and specificity of the major depression inventory in outpatients. Bmc Psychiatry. 2007;7.
Bech P, Rasmussen NA, Olsen LR, Noerholm V, Abildgaard W. The sensitivity and specificity of the Major Depression Inventory, using the Present State Examination as the index of diagnostic validity. J Affect Disord. 2001;66:159–64.
Article
CAS
PubMed
Google Scholar
Olsen LR, Jensen DV, Noerholm V, Martiny K, Bech P. The internal and external validity of the Major Depression Inventory in measuring severity of depressive states. Psychol Med. 2003;33:351–6.
Article
CAS
PubMed
Google Scholar
Cuijpers P, Smit F. Subthreshold depression as a risk indicator for major depressive disorder: a systematic review of prospective studies. Acta Psychiatr Scand. 2004;109:325–31.
Article
CAS
PubMed
Google Scholar
Van Dam K, van der Vorst JDM, van der Heijden BIJM. Employees’ intentions to retire early a case of planned behavior and anticipated work conditions. J Career Dev. 2009;35:265–89.
Article
Google Scholar
Taylor MA, Shore LM. Predictors of planned retirement age - an application of beehrs model. Psychol Aging. 1995;10:76–83.
Article
CAS
PubMed
Google Scholar
Galea S, Tracy M. Participation rates in epidemiologic studies. Ann Epidemiol. 2007;17:643–53.
Article
PubMed
Google Scholar
Friis K, Ekholm O, Hundrup YA, Obel EB, Gronbiek M. Influence of health, lifestyle, working conditions, and sociodemography on early retirement among nurses: the Danish nurse cohort study. Scand J Public Health. 2007;35:23–30.
Article
PubMed
Google Scholar
Schaarup J. The Age at Retirement 1992–2008 [Tilbagetrækningsalderen 1992–2008]. The Danish Insurance Association: Copenhagen; 2009.
Google Scholar
Tufte P, Borg V. Retaining employees in the eldercare sector [Translated from Danish: fastholdelse af medarbejdere i ældreplejen]. Copenhagen: The National Research Center for the Working Environment; 2007.
Google Scholar