Differences in individual life path choices affecting life expectancy and health in Russia

In this study we examined 100 pairs of monozygotic (MZ) twins to determine if lifestyle differences between control and experimental twins affected lifespan and health. We used the twin database of the Russian Humanitarian Scientific Foundation. The dependent variables were the difference in lifespa...

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Main Author: Berezina Tatiana
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/70/e3sconf_itse2020_17032.pdf
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spelling doaj-fb81a38131974ac6bd0f58901ac2b9952021-04-02T16:19:54ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012101703210.1051/e3sconf/202021017032e3sconf_itse2020_17032Differences in individual life path choices affecting life expectancy and health in RussiaBerezina Tatiana0Moscow State University of Psychology and EducationIn this study we examined 100 pairs of monozygotic (MZ) twins to determine if lifestyle differences between control and experimental twins affected lifespan and health. We used the twin database of the Russian Humanitarian Scientific Foundation. The dependent variables were the difference in lifespan and the number of socially significant diseases between control and experimental twins. The independent variables were the differences within different psychosocial factors (education, family, children, career, prosocial behavior, religiousness, residence, relocations) between control and experimental twins. Using the ANOVA test, we obtained that career (F=11.12, p=0.000), education (F=3.272, p=0.042), living in a large city (F=6.674, p=0.008), having family (F=3.926, p=0.023) and relocations (F=3.757, p=0.046) increased lifespan. For women, one of the most significant positive factors that increased lifespan was education (F=5.992, p=0.005). For men, relocation (F=7.835, p=0.027) was one of the most significant factors that increased lifespan. Having family significantly reduced the number of socially significant diseases (F=3.477, p=0.035). Although this study represents statistically significant data showing that distinct lifestyles have different effects on lifespan and health, future studies with a database of a larger amount of MZ twin pairs are needed to confirm this data.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/70/e3sconf_itse2020_17032.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Berezina Tatiana
spellingShingle Berezina Tatiana
Differences in individual life path choices affecting life expectancy and health in Russia
E3S Web of Conferences
author_facet Berezina Tatiana
author_sort Berezina Tatiana
title Differences in individual life path choices affecting life expectancy and health in Russia
title_short Differences in individual life path choices affecting life expectancy and health in Russia
title_full Differences in individual life path choices affecting life expectancy and health in Russia
title_fullStr Differences in individual life path choices affecting life expectancy and health in Russia
title_full_unstemmed Differences in individual life path choices affecting life expectancy and health in Russia
title_sort differences in individual life path choices affecting life expectancy and health in russia
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description In this study we examined 100 pairs of monozygotic (MZ) twins to determine if lifestyle differences between control and experimental twins affected lifespan and health. We used the twin database of the Russian Humanitarian Scientific Foundation. The dependent variables were the difference in lifespan and the number of socially significant diseases between control and experimental twins. The independent variables were the differences within different psychosocial factors (education, family, children, career, prosocial behavior, religiousness, residence, relocations) between control and experimental twins. Using the ANOVA test, we obtained that career (F=11.12, p=0.000), education (F=3.272, p=0.042), living in a large city (F=6.674, p=0.008), having family (F=3.926, p=0.023) and relocations (F=3.757, p=0.046) increased lifespan. For women, one of the most significant positive factors that increased lifespan was education (F=5.992, p=0.005). For men, relocation (F=7.835, p=0.027) was one of the most significant factors that increased lifespan. Having family significantly reduced the number of socially significant diseases (F=3.477, p=0.035). Although this study represents statistically significant data showing that distinct lifestyles have different effects on lifespan and health, future studies with a database of a larger amount of MZ twin pairs are needed to confirm this data.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/70/e3sconf_itse2020_17032.pdf
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