Vol.26 No.1
/
2007 / 2
/
pp. 066 - 074
台北市1991-2004年間社會經濟因子與自殺死亡率趨勢
Socioeconomic Factors and Suicide Mortality Trends in Taipei City between 1991 and 2004
作者
游舒涵
(國家衛生研究院精神醫學與藥物濫用研究組、生物統計與生物資訊研究組)
陳映燁
*
(國立陽明交通大學醫學系)
邱燕楓
(國家衛生研究院精神醫學與藥物濫用研究組、生物統計與生物資訊研究組)
陳喬琪
(臺北醫學大學醫學系)
邱震寰
(臺北醫學大學醫學系)
郭千哲
(臺北醫學大學醫學系)
張珩
(臺北醫學大學醫學系)
宋晏仁
(國立陽明交通大學醫學系)
游舒涵
國家衛生研究院精神醫學與藥物濫用研究組、生物統計與生物資訊研究組
陳映燁
*
國立陽明交通大學醫學系
邱燕楓
國家衛生研究院精神醫學與藥物濫用研究組、生物統計與生物資訊研究組
陳喬琪
臺北醫學大學醫學系
邱震寰
臺北醫學大學醫學系
郭千哲
臺北醫學大學醫學系
張珩
臺北醫學大學醫學系
宋晏仁
國立陽明交通大學醫學系
英文摘要
Objectives: To examine the relationship between socioeconomic factors and suicide mortality trends in Taipei City between 1991 and 2004. Methods: We used data obtained from the Taipei City Bureau of Health to assess Pearson’s correlation coefficients between a series of socioeconomic factors, such as unemployment rates, social mobility rates, divorce rates, percentage of single person households, and poverty rates, and age-standardized suicide mortality rates. Cochrane-Orcutt regression was used to evaluate the relationship between socioeconomic factors and suicide death rates; the analysis was stratified by age and gender. Results: Pearson's correlation analysis showed that with the exception of the female labor force participation rate, all socioeconomic factors had a significant association with suicide death rates (P<0.05); the associations were stronger among males than females. The results obtained by Cochrane-Orcutt regression analysis were similar to the results derived from Pearson’s correlation analysis. In addition, the relationships between socioeconomic factors and suicide rates were stronger among males than females, especially in the 25-64 year old age groups. Conclusions: Socioeconomic factors were powerful determinants of suicide among males, especially for middle-aged men. These finding suggest that implementation of appropriate social policies should be an integral part of an optimal suicide prevention program.
中文關鍵字
自殺率 ; 社經因子 ; 失業率 ; 遷移率 ; 女性勞動參與率
英文關鍵字
suicide rate, socioeconomic factors, unemployment rate, social mobility rate, female labor force participation