31 The effects of exit from work on health across different socioeconomic groups Table 2. Study characteristics Author, publication year and country Population (dataset, cohort or register, n, sex, and age) Design (type and follow-up period) Statistical analyses (stratification and/or interaction term) Quality assessment score De Grip et al., 2015 Netherlands (28) MAAS n=1,360 No data on age and sex Prospective Follow-up 1993-1995, 1999-2001 and 20052007 Interaction term; exit from work with educational level 78% Gallo et al., 2006 United States (29) HRS n=3,555 Male 48% Mean age 55.0 (range 51-61) Prospective Follow-up 6 years Stratification; income level Interaction term; exit from work with income level 89% Gallo et al., 2009 United States (30) HRS n=6,469 Male 52% Mean age 55.0 (SD 2.9) Prospective Follow-up 6 years Interaction term; exit from work with educational level and income level 89% Hessel, 2016 Europe (32) EU-SILC n=139,683 Male 54% No data on mean age (range 50-74) Prospective Follow-up 3 years Stratification; educational level 100% Jokela et al., 2010 England (33) Whitehall II study n=7,584 Male 69% No data on mean age (range 54-76) Prospective Follow-up 15 years Stratification; occupational level 67% Kämpfen et al., 2016 United States (34) HRS n=13,491 Male 43% Mean age 65.3 (range 50-80) Prospective Follow-up 6 years Stratification; educational level 89% Koeneman et al., 2012 Netherlands (35) LASA n=186 Male 67% Mean age 58.7 (SD 2.6) Prospective Follow-up 1992-1993 and 1995-1996 Interaction term; exit from work with educational level 78% 2
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