Mental Health of Elderly Indonesian in One Person Household

Arwan Nugrohoa. Omas Bulan Samosir: Mental Health of Elderly Indonesian in One Person Household. 2019, (Type: ORAL PRESENTATION; Organisation: Magister of Population and Employment Economics, Faculty of Economics and Business, Universitas Indonesia).

Abstract

INTRODUCTION: In 2010, the elderly population in Indonesia amounted to 5% of the total population and increased to 5.4% in 2015. The 2015-2045 Indonesian population projection results show that by 2035, the elderly population in Indonesia will be 10.6%. Elderly people who are prosperous, healthy, educated and productive will contribute to the acceleration of economic growth. At present, the world and Asia in particular, including Indonesia, are experiencing demographic dynamics that can increase the prevalence of one person households. The elderly population compared to other age groups is very biologically and mentally prone due to the continuous ageing process which is characterised by a decrease in physical endurance and susceptibility to disease attacks. The purpose of this study was to determine the mental health of elderly people in one person households in Indonesia. METHODS: This study used data from the results of the Indonesian Happiness Level Survey (SPTK) 2017 and was analysed using a binary logistic regression model. RESULTS: The elderly population in one person households is less likely to be happy compared to non-one person households. The area of residence, occupation, level of education and income of the elderly population is positively associated with happiness for the elderly. The higher education and income, the happier. Older people who live in cities are happier than those who live in rural areas. DISCUSSION: Ageing support to increase the level of happiness of the elderly population should be based on living arrangements and increasing elderly-friendly facilities in rural areas.

    BibTeX (Download)

    @proceedings{APCPH-2019-73,
    title = {Mental Health of Elderly Indonesian in One Person Household},
    author = {Arwan Nugrohoa. Omas Bulan Samosir},
    year  = {2019},
    date = {2019-07-22},
    urldate = {2019-07-22},
    journal = {6th Asia-Pacific Conference on Public Health 2019 Proceedings},
    issue = {6},
    abstract = {INTRODUCTION: In 2010, the elderly population in Indonesia amounted to 5% of the total population and increased to 5.4% in 2015. The 2015-2045 Indonesian population projection results show that by 2035, the elderly population in Indonesia will be 10.6%. Elderly people who are prosperous, healthy, educated and productive will contribute to the acceleration of economic growth. At present, the world and Asia in particular, including Indonesia, are experiencing demographic dynamics that can increase the prevalence of one person households. The elderly population compared to other age groups is very biologically and mentally prone due to the continuous ageing process which is characterised by a decrease in physical endurance and susceptibility to disease attacks. The purpose of this study was to determine the mental health of elderly people in one person households in Indonesia. METHODS: This study used data from the results of the Indonesian Happiness Level Survey (SPTK) 2017 and was analysed using a binary logistic regression model. RESULTS: The elderly population in one person households is less likely to be happy compared to non-one person households. The area of residence, occupation, level of education and income of the elderly population is positively associated with happiness for the elderly. The higher education and income, the happier. Older people who live in cities are happier than those who live in rural areas. DISCUSSION: Ageing support to increase the level of happiness of the elderly population should be based on living arrangements and increasing elderly-friendly facilities in rural areas.},
    note = {Type: ORAL PRESENTATION; Organisation: Magister of Population and Employment Economics, Faculty of Economics and Business, Universitas Indonesia},
    keywords = {binary logistic regression, happiness, Mental health, one person household},
    pubstate = {published},
    tppubtype = {proceedings}
    }