title: Does marital status predict the odds of suicidal death in taiwan? A seven-year population-based study.
abstract: Using nationwide, 7-year population-based data for 1997-2003, we examined marital status to see if it predicted suicide among the ethnic Chinese population of Taiwan. Using cause of death data, with a case-control design, two groups-total adult suicide deaths, n = 17,850, the study group, and adult deaths other than suicide, n = 71,400 (randomly selected from age, sex, and geographic region matched controls, four per suicide)-were studied. Using multiple logistic regression analysis including age-marital status interaction, adjusted estimates show divorced status to be the most detrimental for suicide propensity, with males showing stronger effect size. Females never married, aged below 35 and 65-plus, and widowed 65-plus had lower suicide odds.
authors.affiliation: Taipei Medical University, School of Health Care Administration, Taipei, Taiwan.
authors.forename: Jui-Yuan
authors.initials: JY
authors.lastname: Yeh
authors.forename: Sudha
authors.initials: S
authors.lastname: Xirasagar
authors.forename: Tsai-Ching
authors.initials: TC
authors.lastname: Liu
authors.forename: Chong-Yi
authors.initials: CY
authors.lastname: Li
authors.forename: Herng-Ching
authors.initials: HC
authors.lastname: Lin
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D044466:Asian People / Q000523:psychology / Q000706:statistics & numerical data*; D016022:Case-Control Studies; D002423:Cause of Death / Q000639:trends*; D035061:Control Groups; D004243:Divorce / Q000706:statistics & numerical data / Q000639:trends; D004651:Employment; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D017533:Marital Status / Q000706:statistics & numerical data*; D008875:Middle Aged; D009026:Mortality; D016017:Odds Ratio; D011336:Probability; D012621:Seasons; D017678:Sex Distribution; D012737:Sex Factors; D013405:Suicide / Q000523:psychology / Q000706:statistics & numerical data*; D013624:Taiwan / Q000453:epidemiology; D014507:Urbanization / Q000639:trends