Marital status and suicide in the National Longitudinal Mortality Study.
OBJECTIVE
The purpose of the study was to examine the effect of marital status on the risk of suicide, using a large nationally representative sample. A related objective was to investigate the association between marital status and suicide by sex.


METHODS
Cox proportional hazards regression models were applied to data from the National Longitudinal Mortality Study, based on the 1979-1989 follow up. In estimating the effect of marital status, adjustments were made for age, sex, race, education, family income, and region of residence.


RESULTS
For the entire sample, higher risks of suicide were found in divorced than in married persons. Divorced and separated persons were over twice as likely to commit suicide as married persons (RR = 2.08, 95% confidence intervals (95% CI) 1.58, 2.72). Being single or widowed had no significant effect on suicide risk. When data were stratified by sex, it was observed that the risk of suicide among divorced men was over twice that of married men (RR = 2.38, CI 1.77, 3.20). Among women, however, there were no statistically significant differentials in the risk of suicide by marital status categories.


CONCLUSIONS
Marital status, especially divorce, has strong net effect on mortality from suicide, but only among men. The study showed that in epidemiological research on suicide, more accurate results would be obtained if samples are stratified on the basis of key demographic or social characteristics. The study further observed that failure to control for relevant socioeconomic variables or combining men and women in the same models could produce misleading results.
Kposowa
A J
AJ
University of California, Riverside, USA.
D000293:Adolescent; D000328:Adult; D000368:Aged; D004243:Divorce / Q000523:psychology; D005260:Female; D006801:Humans; D008297:Male; D017533:Marital Status / Q000706:statistics & numerical data*; D008393:Marriage / Q000523:psychology; D008875:Middle Aged; D011159:Population Surveillance / Q000379:methods; D016016:Proportional Hazards Models; D012307:Risk Factors; D012737:Sex Factors; D012934:Social Isolation / Q000523:psychology; D013405:Suicide / Q000523:psychology / Q000706:statistics & numerical data*; D014481:United States / Q000453:epidemiology