ASSOCIATION BETWEEN HEALTHY LIFE EXPECTANCY AT BIRTH AND CONSANGUINEOUS MARRIAGES IN 63 COUNTRIES

2011 ◽  
Vol 43 (4) ◽  
pp. 475-480 ◽  
Author(s):  
MOSTAFA SAADAT
Keyword(s):  
Life Expectancy ◽  
Ecological Study ◽  
Consanguineous Marriage ◽  
Inbreeding Coefficient ◽  
High Income ◽  
Healthy Life Expectancy ◽  
African Countries ◽  
Healthy Life ◽  
Life Expectancy At Birth ◽  
Per Capita

SummaryIn order to investigate the association between mean inbreeding coefficient (α) and healthy life expectancy at birth (HALE; years) the present ecological study on 63 countries was done. Statistical analysis showed that HALE negatively and positively correlated with log10α and log10GNI per capita, respectively (p<0.001). It should be noted that log10α and log10GNI per capita were significantly correlated with each other (p<0.001). After controlling for log10GNI per capita, significant negative correlations between log10α and HALE were observed. The countries were stratified according to their GNI per capita into low- and high-income countries. In countries with high income, after controlling for log10GNI per capita, the correlation between HALE at birth and log10α was significant (for males r=−0.399, df=32, p=0.001; for females r=−0.683, df=32, p<0.001). In high-income Asian and African countries, where consanguineous marriage is common, after controlling for log10GNI per capita, the correlation between HALE at birth and log10α was significant (for males r=−0.819, df=8, p=0.004; for females r=−0.936, df=8, p<0.001). It seems that consanguinity influences HALE independent of country income.

scholarly journals Comparing the differences in three measures of healthy life expectancy among prefectures in Japan.

2020 ◽  
Author(s):  
KAZUYA TAIRA ◽  
Soshiro Ogata ◽  
Kei Kamide
Keyword(s):  
Life Expectancy ◽  
Ecological Study ◽  
Open Data ◽  
The Other ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
Independent Variables ◽  
Dependent Variables ◽  
Disability Free Life Expectancy ◽  
Government Statistics

Abstract Objective: An ecological study using secondary open data from Japanese government statistics was conducted. The study aimed to verify differences in three measures of healthy life expectancy (HLE); namely, disability-free life expectancy without activity limitation (DFLE-AL), life expectancy with self-perceived health (LE-SH), and disability-free life expectancy without care need (DFLE-CN).Results: Each HLE from 47 prefectures in 2010, 2013, and 2016 was extended over time. There were strong Cronbach’s coefficient alpha (α) between DFLE-AL and LE-SH (Minimum α; 0.80, Maximum α;0.90) as well as between LE and DFLE-CN (Minimum α; 0.92, Maximum α; 0.99) in both sexes in every data year. However, the other pairs had weaker associations. In regression analysis with each HLE as a dependent variable and aging rate, mortality, the proportion of unhealthy people as independent variables, the subjective unhealthy rate had significant standardized partial regression coefficients (β) in models with DFLE-AL and LE-SH as dependent variables (Minimum β; -0.56, Maximum β; -0.34). Therefore, DFLE-CN tended to differ from the other HLEs. The subjective unhealthy rate had a significant influence on DFLE-AL and LE-SH.

scholarly journals Comparing the differences in three measures of healthy life expectancy, effects of mortality, and proportions of unhealthy people according to prefectures in Japan: An Ecological study

2020 ◽  
Author(s):  
KAZUYA TAIRA ◽  
Soshiro Ogata ◽  
Kei Kamide
Keyword(s):  
Life Expectancy ◽  
Ecological Study ◽  
Open Data ◽  
The Other ◽  
Healthy Life Expectancy ◽  
Expectancy Effects ◽  
Healthy Life ◽  
Disability Free Life Expectancy ◽  
Significant Regression ◽  
Using Data

Abstract Objective: An Ecological study using open data collected, compiled, and published in government statistics in Japan was conducted. The study aimed to verify the differences in these three measures of healthy life expectancy (HLE), namely disability-free life expectancy without activity limitation (DFLE-AL), life expectancy with self-perceived health (LE-SH), and disability-free life expectancy without care need (DFLE-CN), in relation to appropriate policymaking.Results: Using data from 47 prefectures in 2010, 2013, and 2016, the three types of HLE were extended over time. There were strong correlations between DFLE-AL and LE-SH (r = 0.69–0.83) as well as LE and DFLE-CN (r = 0.75–0.98) in both sexes. However, the other correlations were either weak or not significant. Regression analysis examining the association between the aging rate, mortality, the proportion of unhealthy people, and three types of HLE showed that the “subjective unhealthy rate” was significant (the standardized partial regression coefficients = -0.56– -0.34) in models with DFLE-AL and LE-SH as dependent variables. Therefore, DFLE-CN was suggested to be a different indicator from the other two HLEs. The “subjective unhealthy rate” had a significant influence on the prefectural DFLE-AL and LE-SH.

scholarly journals Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study.

2021 ◽  
Vol 14 ◽  
pp. 100204
Author(s):  
Aoi Kataoka ◽  
Keisuke Fukui ◽  
Tomoharu Sato ◽  
Hiroyuki Kikuchi ◽  
Shigeru Inoue ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Ecological Study ◽  
Socioeconomic Inequalities ◽  
Healthy Life Expectancy ◽  
Healthy Life

scholarly journals Comparing the differences in three measures of healthy life expectancy among prefectures in Japan.

2020 ◽  
Author(s):  
KAZUYA TAIRA ◽  
Soshiro Ogata ◽  
Kei Kamide
Keyword(s):  
Life Expectancy ◽  
Ecological Study ◽  
Open Data ◽  
The Other ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
Independent Variables ◽  
Dependent Variables ◽  
Disability Free Life Expectancy ◽  
Government Statistics

Abstract Objective: An ecological study using secondary open data from Japanese government statistics was conducted. The study aimed to verify differences in three measures of healthy life expectancy (HLE); namely, disability-free life expectancy without activity limitation (DFLE-AL), life expectancy with self-perceived health (LE-SH), and disability-free life expectancy without care need (DFLE-CN).Results: Each HLE from 47 prefectures in 2010, 2013, and 2016 was extended over time. There were strong Cronbach’s coefficient alpha (α) between DFLE-AL and LE-SH (Minimum α; 0.80, Maximum α;0.90) as well as between LE and DFLE-CN (Minimum α; 0.92, Maximum α; 0.99) in both sexes in every data year. However, the other pairs had weaker associations. In regression analysis with each HLE as a dependent variable and aging rate, mortality, the proportion of unhealthy people as independent variables, the subjective unhealthy rate had significant standardized partial regression coefficients (β) in models with DFLE-AL and LE-SH as dependent variables (Minimum β; -0.56, Maximum β; -0.34). Therefore, DFLE-CN tended to differ from the other HLEs. The subjective unhealthy rate had a significant influence on DFLE-AL and LE-SH.

scholarly journals Comparing the differences in three measures of healthy life expectancy among prefectures in Japan.

2020 ◽  
Author(s):  
KAZUYA TAIRA ◽  
Soshiro Ogata ◽  
Kei Kamide
Keyword(s):  
Life Expectancy ◽  
Ecological Study ◽  
Open Data ◽  
The Other ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
Independent Variables ◽  
Dependent Variables ◽  
Disability Free Life Expectancy ◽  
Government Statistics

Abstract Objective: An ecological study using secondary open data from Japanese government statistics was conducted. The study aimed to verify differences in three measures of healthy life expectancy (HLE); namely, disability-free life expectancy without activity limitation (DFLE-AL), life expectancy with self-perceived health (LE-SH), and disability-free life expectancy without care need (DFLE-CN).Results: Each HLE from 47 prefectures in 2010, 2013, and 2016 was extended over time. There were strong Cronbach’s coefficient alpha (α) between DFLE-AL and LE-SH (Minimum α; 0.80, Maximum α;0.90) as well as between LE and DFLE-CN (Minimum α; 0.92, Maximum α; 0.99) in both sexes in every data year. However, the other pairs had weaker associations. In regression analysis with each HLE as a dependent variable and aging rate, mortality, the proportion of unhealthy people as independent variables, the subjective unhealthy rate had significant standardized partial regression coefficients (β) in models with DFLE-AL and LE-SH as dependent variables (Minimum β; -0.56, Maximum β; -0.34). Therefore, DFLE-CN tended to differ from the other HLEs. The subjective unhealthy rate had a significant influence on DFLE-AL and LE-SH.

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