Marital history from age 15 to 40 years and subsequent 10-year mortality: a longitudinal study of Danish males born in 1953.
BACKGROUND
The aims of the present study are to analyse the association between marital status at age 24, 29, 34, and 39 years and subsequent mortality in a cohort of men born in 1953 (sensitive period); to study the impact of number of years married, number of years divorced/widowed, and number of marital break-ups on mortality (cumulative effect), and to examine whether these effects were independent of marital status at age 39 (proximity effect).


METHODS
Prospective birth cohort study with follow-up of mortality from 1992 to 2002. Participants were 10891 men born within the metropolitan area of Copenhagen, Denmark. Marital status in 1992 as well as start and termination of all previous marital status events from 1968 to 1992 were retrieved from the Danish Civil Registration System.


METHODS
Were hazard ratios (HR) for all-cause mortality from age 40 to 49 years.


RESULTS
We found a strong protective effect of being married compared with never being married or divorced/widowed at every age. The association increased in strength with increasing age. Number of years divorced was associated with increased mortality risk in a dose-dependent manner at age 34 and 39 years. One or more marital break-ups was associated with higher mortality, whereas increasing number of years married was associated with lower mortality. Inclusion of current marital status attenuated the strength of the associations but most of them remained statistically significant.


CONCLUSIONS
Marital status and cumulated marital periods, especially cumulated periods divorced/widowed are strong independent predictors of mortality among younger males.
Lund
Rikke
R
Department of Social Medicine, Institute of Public Health, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark. r.lund@socmed.ku.dk
Holstein
Bjørn Evald
BE
Osler
Merete
M
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D003718:Denmark / Q000453:epidemiology; D004243:Divorce / Q000706:statistics & numerical data; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D017533:Marital Status / Q000706:statistics & numerical data*; D009026:Mortality; D016016:Proportional Hazards Models; D012307:Risk Factors; D013997:Time Factors; D017805:Widowhood / Q000706:statistics & numerical data