Marital status and suicide in the National Longitudinal Mortality Study
Marital status and suicide in the National Longitudinal Mortality Study
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DOI：
10.1136/jech.54.4.254
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发表时间：
2000-04-01
影响因子：
6.3
通讯作者：
Kposowa, AJ
中科院分区：
文献类型：
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作者：
Kposowa, AJ
研究目的：本研究的目的是使用一个全国性的大样本来检验婚姻状况对自杀风险的影响。一个相关的目标是调查婚姻状况和自杀sexy.Methods-Cox比例风险回归模型之间的关联应用于全国纵向死亡率研究的数据，根据1979-1989年随访。在估计婚姻状况的影响，调整年龄，性别，种族，教育，家庭收入，和region of residence.Results-For整个样本，自杀的风险更高，发现在离婚比已婚人士。离婚和分居的人自杀的可能性是已婚者的两倍多（RR=2.08，95%置信区间（95% CI）1.58，2.72）。单身或丧偶对自杀风险没有显著影响。当数据按性别分层时，观察到离婚男性的自杀风险是已婚男性的两倍多（RR=2.38，CI 1.77，3.20）。然而，在女性中，不同婚姻状况类别的自杀风险在统计上没有显着差异。结论-婚姻状况，尤其是离婚，对自杀死亡率有很强的净影响，但仅限于男性。研究结果显示，在自杀的流行病学研究中，如果样本是根据关键的人口或社会特征分层，将获得更准确的结果。该研究进一步指出，未能控制相关的社会经济变量或在同一模型中将男子和妇女合并可能产生误导性结果。
Objectives-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.