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 cro...

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Main Authors: Jaekyoung Bae, Yeon-Yong Kim, Jin-Seok Lee
Format: Article
Language:English
Published: Korean Society for Preventive Medicine 2017-07-01
Series:Journal of Preventive Medicine and Public Health
Subjects:
Online Access:http://www.jpmph.org/upload/pdf/jpmph-50-4-240.pdf
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spelling doaj-643feb0df9df445f80ac2045910e6da52020-11-24T23:47:20ZengKorean Society for Preventive MedicineJournal of Preventive Medicine and Public Health1975-83752233-45212017-07-0150424025010.3961/jpmph.17.0361922Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life ExpectancyJaekyoung Bae0Yeon-Yong Kim1Jin-Seok Lee2 Department of Health Management and Policy, Seoul National University College of Medicine, Seoul, Korea Big Data Steering Department, National Health Insurance Service, Wonju, Korea Department of Health Management and Policy, Seoul National University College of Medicine, Seoul, KoreaObjectives 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.http://www.jpmph.org/upload/pdf/jpmph-50-4-240.pdfLife expectancySocioeconomic factorsHealth behaviorRepublic of Korea
collection DOAJ
language English
format Article
sources DOAJ
author Jaekyoung Bae
Yeon-Yong Kim
Jin-Seok Lee
spellingShingle Jaekyoung Bae
Yeon-Yong Kim
Jin-Seok Lee
Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life Expectancy
Journal of Preventive Medicine and Public Health
Life expectancy
Socioeconomic factors
Health behavior
Republic of Korea
author_facet Jaekyoung Bae
Yeon-Yong Kim
Jin-Seok Lee
author_sort Jaekyoung Bae
title 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_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_sort factors associated with subjective life expectancy: comparison with actuarial life expectancy
publisher Korean Society for Preventive Medicine
series Journal of Preventive Medicine and Public Health
issn 1975-8375
2233-4521
publishDate 2017-07-01
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.
topic Life expectancy
Socioeconomic factors
Health behavior
Republic of Korea
url http://www.jpmph.org/upload/pdf/jpmph-50-4-240.pdf
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