Background
Methods
Search strategy
Selection criteria
Quality assessment
Study objective | |
1 | Positive if a clearly stated objective is described |
Study population | |
2 | Positive if the main features of the study population are clearly described |
3 | Positive if the inclusion and exclusion criteria are described |
Outcome | |
4 | Positive if a clear definition of retirement (timing) is given |
5 | Positive if outcome source is register-based |
Determinants | |
6 | Positive if adjusted for other confounders/determinants from different scientific fields |
7 | Positive if age (if possible), gender (if possible) and education are taken into account as confounders |
Analysis and data evaluation | |
8 | Positive if appropriate statistical model is used to evaluate data |
9 | Positive if effect size of variables was presented or p-value 0.05 was shown or can be calculated |
Data Extraction
Data analyses
Results
Study selection
Methodological quality assessment
Study | Methodological quality | Total score | Total % | Quality | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||||
Christensen 2012 [24] | + | + | + | - | + | + | + | + | + | 8/9 | 89 | High |
Coile 2000 [35] | + | + | + | - | - | - | + | + | + | 6/9 | 67 | High |
de Preter 2013 [20] | + | + | + | + | - | + | + | + | + | 8/9 | 89 | High |
Gesthuizen 2011 [22] | + | + | + | + | - | + | + | + | + | 8/9 | 89 | High |
Gortz 2012 [25] | + | + | + | + | + | + | + | + | + | 9/9 | 100 | High |
Herquelot 2011 [26] | + | + | + | - | - | - | + | + | + | 6/9 | 67 | High |
Heyma 2004 [27] | + | + | + | - | - | + | - | + | + | 6/9 | 67 | High |
Kerkhofs 1999 [28] | + | + | + | - | - | + | + | + | + | 7/9 | 78 | High |
Marton 2010 [36] | + | + | + | - | - | + | + | + | + | 7/9 | 78 | High |
Montizaan 2013 [33] | + | + | + | - | - | + | + | + | + | 7/9 | 78 | High |
Olesen 2012 [29] | + | + | + | - | - | + | - | + | + | 6/9 | 67 | High |
Ӧrestig 2013 [37] | + | + | + | - | + | + | + | + | + | 8/9 | 89 | High |
Roberts 2009 [30] | + | + | + | + | - | + | + | + | + | 8/9 | 89 | High |
Robroek 2013 [31] | + | + | + | - | - | + | + | + | + | 7/9 | 78 | High |
Rubb 2009 [23] | + | + | + | - | - | + | + | + | + | 8/9 | 89 | High |
Schils 2008 [21] | + | + | + | + | - | + | + | + | + | 7/9 | 78 | High |
Schuring 2013 [32] | + | + | + | - | + | + | + | + | + | 8/9 | 89 | High |
Song 2008 [12] | + | + | + | - | + | - | - | + | + | 6/9 | 67 | High |
van Solinge 2010 [7] | + | + | + | + | - | + | + | + | + | 8/9 | 89 | High |
van Solinge 2011 [34] | + | + | + | - | - | + | - | + | + | 6/9 | 67 | High |
Study characteristics
First Author + year of publication | Country + Dataset | Period of study | Characteristics population + Sample size | Occupational group | Outcome source | Peer-reviewed |
---|---|---|---|---|---|---|
Christensen 2012 [24] | Denmark, general population random sample | 1985-2001 | Workers and unemployed persons looking for a job in 1985 aged 50 (N= 9329) | Various | Register-based | Y |
Coile 2000 [35] | United States, HRS | 1951-1998 | Male workers aged 55-69 (N= 5886) | Various | 1) Before 1992 register-based, 2) From 1992 self-reported | Y |
de Preter 2013 [20] | Europe, ECHP | 1994-2001 | Workers aged 50+ years (N= 3081 males, N=1413 females) | Various | Self-reported | Y |
Gesthuizen 2011 [22] | The Netherlands, Dutch Socio-economic panel | 1990-2001 | Workers aged 50-65 (N=1521 males, N=1808 females) | Various | Self-Reported | N |
Gortz 2012 [25] | Denmark, Longitudinal Data Set | 1997-2006 | Female workers aged 60-64 (N= 4800) | Day-care teachers and assistants | Register-based | Y |
Herquelot 2011 [26] | France, GAZEL | 1989-2007 | Male workers aged 40-50, female workers aged 35-50 (N= 3036) | Workers of the French national electricity and gas company | Self-reported | Y |
Heyma 2004 [27] | The Netherlands, CERRA | 1993, 1995 | Workers aged 40-65 (N= 4727) | Various | Self-reported | Y |
Kerkhofs 1999 [28] | The Netherlands, CERRA | 1991-1995 | Main income earners aged 43 - 63 (N= 2560) | Various | Self-reported | Y |
Marton 2010 [36] | United States, HRS | 1992-2004 | Male workers aged 51–61 (N=3150) | Various | Self-reported | N |
Montizaan 2013 [33] | United States, US NLSOM | 1966-1983 | Male workers aged 45-59 (N= 3624) | Various | Self-reported | Y |
Olesen 2012 [29] | Australia, HILDA | 2001-2006 | Workers aged 45-75 (N= 1516 males and 1287 females) | Various | Self-reported | Y |
Ӧrestig 2013 [37] | Sweden, PSAE | 2003-2007 | Persons aged 57-64 (N=854) | Various | Register-based | Y |
Roberts 2009 [30] | United Kingdom and Germany, panel survey | 1991-2002 | Workers aged 50-60/65 (female/male) (Germany: N= 1186 UK: N=1135) | Various | Self-reported | N |
Robroek 2013 [31] | Sweden, Denmark, the Netherlands, Belgium, Germany, Austria, Switzerland, France, Italy, Spain, and Greece, SHARE | 2004-2009 | Workers aged between 50 and the statutory retirement age (N= 4923) | Various | Self-reported | Y |
Rubb 2009 [23] | United States, supplements of the Current Population Surveys | 1994-2001 | Workers aged 55-64 (N= 5709 males and N=4917 females) | Various | Self-reported | Y |
Schils 2008 [21] | United Kingdom, Germany, the Netherlands, panel survey | 1991-2004, 1990-2005, 1990-2001 | Workers aged 50-65 (Germany: 5150 The Netherlands: 1580 United Kingdom: 3629) | Various | Self-reported | Y |
Schuring 2013 [32] | The Netherlands, POLS | 1999-2008 | Workers aged 45-64 (N= 3751) | Various | Register-based | Y |
Song 2008 [12] | United States, Social Security administration data | 1997-2005 | Workers born in 1923-1943 (N= 124 850) | Various | Register-based | Y |
van Solinge 2010 [7] | The Netherlands, NIDI | 2001 and 2006/2007 | Workers aged 50-60 (N= 1621) | Civil servants and employees active in ICT, retail, trade, industry and banking | Self-reported | Y |
van Solinge 2011 [34] | The Netherlands, NIDI | 2001 and 2006/2007 | Workers aged 50-60 (N= 1611) | Civil servants and employees active in ICT, retail, trade, industry and banking | Self-reported | Y |
Articles included in sensitivity analysis | ||||||
Coile 2007 [48] | United States, HRS | 1951-2000 | Male workers aged 55-69 (N=2467) | Various | 1) Before 1992 register-based, 2) From 1992 self-reported | Y |
de Preter 2013 [9] | Europe, SHARE | 2004-2007 | Workers aged 50-70 (N= 5127) | Various | Self-reported | Y |
Friis 2007 [49] | Denmark, Database for Labor Market Research | 1993-2002 | Female workers aged 51-59 (N= 5538) | Nurses | Register-based | Y |
Jensen 2012 [50] | Denmark, insurance fund PENSAM | 1993-2008 | Workers (N=2792) | Nurses aides | Register-based | Y |
Mein 2000 [51] | United Kingdom, Whitehall II study | 1988-1995 | Workers aged 50 - 59.5 (N= 2532) | Civil servants | Self-reported | Y |
Palmore 1982 [43] | United States, Ohio, NLS | 1966-1976 | Male workers aged 68-69 (N= 295) | Various | Self-reported | Y |
Determinants of retirement timing
The Netherlands | Denmark | Sweden | Germany | France | UK | Europe | USA | Australia | |
---|---|---|---|---|---|---|---|---|---|
Demographic factors | |||||||||
Education (high vs low) | [21] | [21] | [23] | ||||||
Gender (female) | [21] | [21] | [21] | ||||||
Health | |||||||||
Having a disease (y/n) | [24] | [26] | [20] | [29] | |||||
# days of treatment | [24] | ||||||||
# of admissions | [24] | ||||||||
General health | |||||||||
Poor health | [26] | [21] | [21] | [31] | |||||
Subjective life expectancy | [7] | ||||||||
Health limitations | [30] | [30] | |||||||
Latent health | [30] | [30] | |||||||
Lifestyle | |||||||||
Overweight; obese vs normal | [31] | ||||||||
Physical activity (low vs high) | [31] | ||||||||
(ex-)smoker vs non-smoker | [31] | ||||||||
Excessive alcohol intake (y/n) | [31] | ||||||||
Social factors | |||||||||
Partner employed (y/n) | [21] | [21] | [21] | ||||||
Social participation | |||||||||
Providing care (y/n) | [20] | ||||||||
Member of a club (y/n) | [20] | ||||||||
Following general or higher education (y/n) | [20] | ||||||||
Following vocational or training course (y/n) | [20] | ||||||||
Satisfaction with leisure time (y/n) | [20] | ||||||||
Work characteristics | |||||||||
Working fulltime | [22] | [20] | |||||||
Hourly wage | [21] | [21] | [21] | ||||||
Tenure before age of 50 years | [21] | [21] | [21] | ||||||
Sector of work | |||||||||
Occupational class (lower vs upper) | [22] | ||||||||
Irregular work (y/n) | [34] | ||||||||
Larger firm size | [22] | ||||||||
Job demands | |||||||||
Physically demanding job | [34] | [31] | |||||||
High time pressure | [34] | [31] | |||||||
Job satisfaction (low vs high) | [20] | ||||||||
Low job control | [31] | ||||||||
Low rewards | [31] | ||||||||
Challenge at work | [34] | ||||||||
Contextual factors | |||||||||
Firm specific training | [33] | ||||||||
Child to teacher ratio in day-care sector | [25] | ||||||||
Training opportunities | [34] | ||||||||
Place to work/ time flexibility | [34] | ||||||||
Use of seniority scheme | [34] | ||||||||
Opportunities to grow | [34] | ||||||||
Retirement behaviour among colleagues | [34] | ||||||||
Support supervisor prolonged work participation | [34] | ||||||||
Financial factors | |||||||||
Higher personal income | [20] | ||||||||
Social security wealth | [35] | ||||||||
Health insurance coverage Employer provided and RHB; non-employer; none vs employer provided but no RHB | [36] | ||||||||
Replacement rate (% of income a worker receives when ER, DP, unemployed) | [28] | ||||||||
Retirement factors | |||||||||
Retirement preferences: earlier vs later | [37] | ||||||||
Macro effects | |||||||||
Policy change (RET/FRA) (y/n) | [12] | ||||||||
Birth cohort (related to pension regime) (≥1946=reference) | |||||||||
≤1939 | [22] | ||||||||
1940-45 | [22] | ||||||||
Calendar time effects | [28] |