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KMID : 1023720200750020091
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Journal of Welfare for the Aged
2020 Volume.75 No. 2 p.91 ~ p.119
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Associated Factors with the Trajectory of Local Elderly Suicide Rate
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Lee Chang-Sook
Kang Sang-Kyoung
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Abstract
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This study aims to estimate the trajectory of elderly suicide rates in 229 local governments and to examine the associated factors with the trajectory. For these purposes, we used latent growth curve modeling involving the data generated from various related data sets including the causes of death statistics by Statistical Office and administrative data from 229 local governments. Major findings are as follows. First, the results of unconditional model revealed that the trajectory of local elderly suicide rates rapidly decreased at the beginning of the 7-year research period and then slowly decreased during the later part of the research period. Second, the results of conditional model showed that several economic factors(i.e., the recipient rates of national basic livelihood security benefit among the elderly aged 65 and over and the recipient rates of old age pension), social factors(i.e., crude divorce rate and number of senior leisure welfare facilities per 1,000 elderly), and mental health infrastructure factors(i.e., number of psychiatrists per 100,000 people and number of community mental health centers per 100,000 people) were significantly associated with the trajectory of local elderly suicide rate. Based on these results, we discussed practical implications and future directions to address the local elderly suicide rate in terms of prevention and intervention.
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KEYWORD
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The trajectory of local elderly suicide rate, predictors of local elderly suicide rate trajectory, latent growth curve modeling
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