STUDY OF A PREDICTIVE MODEL FOR AGING SOCIETY CHANGE IN SUPHANBURI PROVINCE

Abstract

The objectives of this research article are 1) to study the changes in the aging society during different age periods and 2) to study the aged society forecasting model for preparing for an aging society in Suphanburi province. It is a combination of quantitative and qualitative research. The sampling method and key informants were elderly people aged 60 years and over in Suphanburi province. The statics used in the research were percentage, mean, frequency and regression analysis model. The results of the research revealed that 1) the overall change in the aging society at different ages. There was a change over a period of 14 years. The highest numbers of elderly people in the districts were Nong-Ya-Sai and Don-Chedi districts. The elderly tend to be higher than other age groups. With the advancement of medical science, the elderly tend to live longer and 2) an aging society forecasting model for preparing for an aging society in Suphanburi province. The trend of forecasting models for aging society is increasing. A forecasting model for the number of elderly people in Suphanburi province can be written as follows: = 143,781.5 + 4,240.229 , predict the future that the elderly tend to increase each year. It is necessary to have a plan to prepare by bringing information from the local health insurance fund in 2020 to replicate the preparation for entering the aging society, including social welfare, health problems of the elderly, etc. The state should help provide welfare services such as homes for the elderly senior citizen card health card for medical expenses reduction increase pension. There is a health check-up service unit to visit homes with elderly people. It is the morale and encouragement for the quality of life the elderly.