Maarit Kauppi1,2,3, Jani Raitanen4,5,6, Sari Stenholm4,5,7, Mari Aaltonen4,5, Linda Enroth4,5, Marja Jylhä4,5. 1. Finnish Institute of Occupational Health, Turku, Finland. maarit.kauppi@ttl.fi. 2. Gerontology Research Center, University of Tampere, Tampere, Finland. maarit.kauppi@ttl.fi. 3. Faculty of Social Sciences (Health Sciences), University of Tampere, Tampere, Finland. maarit.kauppi@ttl.fi. 4. Gerontology Research Center, University of Tampere, Tampere, Finland. 5. Faculty of Social Sciences (Health Sciences), University of Tampere, Tampere, Finland. 6. UKK Institute for Health Promotion Research, Tampere, Finland. 7. Department of Public Health, University of Turku, Turku, Finland.
Abstract
BACKGROUND: The need for long-term care services increases with age. However, little is known about the predictors of long-term care (LTC) entry among the oldest old. AIMS: Aim of this study was to assess predictors of LTC entry in a sample of men and women aged 90 years and older. METHODS: This study was based on the Vitality 90 + Study, a population-based study of nonagenarians in the city of Tampere, Finland. Baseline information about health, functioning and living conditions were collected by mailed questionnaires. Information about LTC was drawn from care registers during the follow-up period extending up to 11 years. Cox regression models were used for the analyses, taking into account the competing risk of mortality. RESULTS: During the mean follow-up period of 2.3 years, 844 (43%) subjects entered first time into LTC. Female gender (HR 1.39, 95% CI 1.14-1.69), having at least two chronic conditions (HR 1.24, 95% CI 1.07-1.44), living alone (HR 1.37, 95% CI 1.15-1.63) and help received sometimes (HR 1.23, 95% CI 1.02-1.49) or daily (HR 1.68, 95% CI 1.38-2.04) were independent predictors of LTC entry. CONCLUSION: Risk of entering into LTC was increased among women, subjects with at least two chronic conditions, those living alone and with higher level of received help. Since number of nonagenarians will increase and the need of care thereby, it is essential to understand predictors of LTC entry to offer appropriate care for the oldest old in future.
BACKGROUND: The need for long-term care services increases with age. However, little is known about the predictors of long-term care (LTC) entry among the oldest old. AIMS: Aim of this study was to assess predictors of LTC entry in a sample of men and women aged 90 years and older. METHODS: This study was based on the Vitality 90 + Study, a population-based study of nonagenarians in the city of Tampere, Finland. Baseline information about health, functioning and living conditions were collected by mailed questionnaires. Information about LTC was drawn from care registers during the follow-up period extending up to 11 years. Cox regression models were used for the analyses, taking into account the competing risk of mortality. RESULTS: During the mean follow-up period of 2.3 years, 844 (43%) subjects entered first time into LTC. Female gender (HR 1.39, 95% CI 1.14-1.69), having at least two chronic conditions (HR 1.24, 95% CI 1.07-1.44), living alone (HR 1.37, 95% CI 1.15-1.63) and help received sometimes (HR 1.23, 95% CI 1.02-1.49) or daily (HR 1.68, 95% CI 1.38-2.04) were independent predictors of LTC entry. CONCLUSION: Risk of entering into LTC was increased among women, subjects with at least two chronic conditions, those living alone and with higher level of received help. Since number of nonagenarians will increase and the need of care thereby, it is essential to understand predictors of LTC entry to offer appropriate care for the oldest old in future.
Entities:
Keywords:
Health services use; Long-term care; Longitudinal methods; Population aging
Authors: Antonina Kaczorowska; Anna Sebastjan; Małgorzata Kołodziej; Małgorzata Fortuna; Zofia Ignasiak Journal: Int J Environ Res Public Health Date: 2022-02-12 Impact factor: 3.390