Methods: Data and samples: The statistics on causes of death and resident registration central population (RRCP) provided by the National Statistical Office was used.
Measures: The suicide rate was calculated for every 100,000 people in each city, county, and district from 2010 to 2017 using the formula '(number of suicides/mid-year population) x 100,000’. We examined gender (male, female), age (young-old, old-old), and region (urban, rural) by conducting latent growth modeling using SPSS 25.0 and M-plus 8.0 programs to estimate changes in the overall older adult suicide rate and verify its relationship.
Results: Over a period of 8 years, the older adult suicide rate was 104.232 on average in 2010 and it decreased by approximately 10.317 every year, and the rate of decrease gradually slowed down. The initial value of the older adult suicide rate was found to be higher among males (B=-96.314, p<.001), the old-old group (B=57.946, p<.001), and those living in rural regions (B=10.932, p<.001). In the quadratic function change rate, only male (B=-.524, p<.05) and old-old (B=.501, p<.05) were statistically significant.
Conclusions and Implications: The quadratic function change model was shown to be the most appropriate for the changing pattern of the older adult suicide rate from 2010 to 2017. Over 8 years, the older adult suicide rate decreased over time, and the rate of decrease gradually slowed down. Gender was discovered to be a significant influencing factor on both the initial value and the change rate of the older adult suicide rate as a result of the conditional model analysis. This suggests that males commit suicide at a higher rate than females among the aging population, and the declining trend slows down over time. The older adult suicide rate was initially greater in the old-old, and the pace of decline was relatively rapid as time passed. This longitudinal study not only extends existing information about changes in suicidal rates in older adults but is also expected to provide valuable insights which address the relationship between suicidal factors and suicidal rates.