郊区和农村老年居民的已婚年收入阈值的生存天数

T. Hoshi, Sayuri Kodama, Sugako Kurimori, K. Fujita
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摘要

目的:研究城郊和农村老年人的生存天数与婚姻年收入阈值的关系。方法:对居住在东京近郊的13195人(回复率80.2%)进行调查。另一方面,居住在九州岛中部乡村小镇的总人数为5320人(回复率为89.2%)。数据通过自我管理的问卷收集,知情同意包括婚姻年收入。所有参与者都被跟踪并检查了他们的生存状态2160天。采用SPSS28.0J for Windows软件对数据进行分析。结果:在本分析的结果中,无论在领域还是性别,生存天数都与婚姻年收入显著相关。250万日元是农村老年居民婚姻年收入的门槛。另一方面,450万日元可能会被指出是郊区老年居民婚姻年收入的门槛,无论男女。农村老人的家庭年收入比郊区老人低83 ~ 150万日元,但生存日的长度却相差无几。结论:在本分析结果中,生存天数与男性和女性的婚姻年收入显著相关。未来的研究需要明确等效收入与其他地区和几代人的生存天数之间的关系,并明确因果结构关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Married Annual Income Threshold for Survival Days among Both Elderly Suburban and Rural Dwellers
Objective: The purpose of this study was to make clear the relationship the survival days and the threshold of yearly marital income for both the suburban and rural elderly dwellers. Method: A total number of 13,195(response rate of 80.2%) living the suburban city of Tokyo. On the ei ther hand a total number of 5,320(response rate of 89.2%) living the rural town located in the middle of Kyusyu Island. Data were collected through self-administered questionnaires, with informed consent including marital yearly income. All of participants were followed and checked their survival status for 2,160 days. Data were analyzed by using SPSS28.0J for Windows. Results: In results of this analyses, survival days are significantly correlated with yearly marital income for both fields and sexes. 2.5 million yen for both sexes may be pointed out as a threshold marital yearly income for the rural elderly dwellers. On the other hand, 4.5 million yen may be pointed out as a threshold marital yearly income for the suburban elderly dwellers for both sexes. Elderly living in the rural area had a lower annual family income of about 0.83 to 1.5 million yen lower than those in the suburbs, but the length of survival day was almost similar. Conclusion: In results of this analyses, survival days are significantly correlated with yearly marital income for both fields and sexes. Future research is needed to make clear the relationships between equivalent income and survival days for both another areas and generations and also make clear the causal structure relationship.
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