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Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life Expectancy

OBJECTIVES: Subjective life expectancy (SLE) has been found to show a significant association with mortality. In this study, we aimed to investigate the major factors affecting SLE. We also examined whether any differences existed between SLE and actuarial life expectancy (LE) in Korea. METHODS: A c...

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Autores principales: Bae, Jaekyoung, Kim, Yeon-Yong, Lee, Jin-Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Preventive Medicine 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5541275/
https://www.ncbi.nlm.nih.gov/pubmed/28768402
http://dx.doi.org/10.3961/jpmph.17.036
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author Bae, Jaekyoung
Kim, Yeon-Yong
Lee, Jin-Seok
author_facet Bae, Jaekyoung
Kim, Yeon-Yong
Lee, Jin-Seok
author_sort Bae, Jaekyoung
collection PubMed
description OBJECTIVES: Subjective life expectancy (SLE) has been found to show a significant association with mortality. In this study, we aimed to investigate the major factors affecting SLE. We also examined whether any differences existed between SLE and actuarial life expectancy (LE) in Korea. METHODS: A cross-sectional survey of 1000 individuals in Korea aged 20-59 was conducted. Participants were asked about SLE via a self-reported questionnaire. LE from the National Health Insurance database in Korea was used to evaluate differences between SLE and actuarial LE. Age-adjusted least-squares means, correlations, and regression analyses were used to test the relationship of SLE with four categories of predictors: demographic factors, socioeconomic factors, health behaviors, and psychosocial factors. RESULTS: Among the 1000 participants, women (mean SLE, 83.43 years; 95% confidence interval, 82.41 to 84.46 years; 48% of the total sample) had an expected LE 1.59 years longer than that of men. The socioeconomic factors of household income and housing arrangements were related to SLE. Among the health behaviors, smoking status, alcohol status, and physical activity were associated with SLE. Among the psychosocial factors, stress, self-rated health, and social connectedness were related to SLE. SLE had a positive correlation with actuarial estimates (r=0.61, p<0.001). Gender, household income, history of smoking, and distress were related to the presence of a gap between SLE and actuarial LE. CONCLUSIONS: Demographic factors, socioeconomic factors, health behaviors, and psychosocial factors showed significant associations with SLE, in the expected directions. Further studies are needed to determine the reasons for these results.
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spelling pubmed-55412752017-08-08 Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life Expectancy Bae, Jaekyoung Kim, Yeon-Yong Lee, Jin-Seok J Prev Med Public Health Original Article OBJECTIVES: Subjective life expectancy (SLE) has been found to show a significant association with mortality. In this study, we aimed to investigate the major factors affecting SLE. We also examined whether any differences existed between SLE and actuarial life expectancy (LE) in Korea. METHODS: A cross-sectional survey of 1000 individuals in Korea aged 20-59 was conducted. Participants were asked about SLE via a self-reported questionnaire. LE from the National Health Insurance database in Korea was used to evaluate differences between SLE and actuarial LE. Age-adjusted least-squares means, correlations, and regression analyses were used to test the relationship of SLE with four categories of predictors: demographic factors, socioeconomic factors, health behaviors, and psychosocial factors. RESULTS: Among the 1000 participants, women (mean SLE, 83.43 years; 95% confidence interval, 82.41 to 84.46 years; 48% of the total sample) had an expected LE 1.59 years longer than that of men. The socioeconomic factors of household income and housing arrangements were related to SLE. Among the health behaviors, smoking status, alcohol status, and physical activity were associated with SLE. Among the psychosocial factors, stress, self-rated health, and social connectedness were related to SLE. SLE had a positive correlation with actuarial estimates (r=0.61, p<0.001). Gender, household income, history of smoking, and distress were related to the presence of a gap between SLE and actuarial LE. CONCLUSIONS: Demographic factors, socioeconomic factors, health behaviors, and psychosocial factors showed significant associations with SLE, in the expected directions. Further studies are needed to determine the reasons for these results. Korean Society for Preventive Medicine 2017-07 2017-06-27 /pmc/articles/PMC5541275/ /pubmed/28768402 http://dx.doi.org/10.3961/jpmph.17.036 Text en Copyright © 2017 The Korean Society for Preventive Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Bae, Jaekyoung
Kim, Yeon-Yong
Lee, Jin-Seok
Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life Expectancy
title Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life Expectancy
title_full Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life Expectancy
title_fullStr Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life Expectancy
title_full_unstemmed Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life Expectancy
title_short Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life Expectancy
title_sort factors associated with subjective life expectancy: comparison with actuarial life expectancy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5541275/
https://www.ncbi.nlm.nih.gov/pubmed/28768402
http://dx.doi.org/10.3961/jpmph.17.036
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