title: COUNTRY-LEVEL SOCIOECONOMIC INDICATORS ASSOCIATED WITH SURVIVAL PROBABILITY OF BECOMING A CENTENARIAN AMONG OLDER EUROPEAN ADULTS: GENDER INEQUALITY, MALE LABOUR FORCE PARTICIPATION AND PROPORTIONS OF WOMEN IN PARLIAMENTS.
abstract: This study confirms an association between survival probability of becoming a centenarian (SPBC) for those aged 65 to 69 and country-level socioeconomic indicators in Europe: the gender inequality index (GII), male labour force participation (MLP) rates and proportions of seats held by women in national parliaments (PWP). The analysis was based on SPBC data from 34 countries obtained from the United Nations (UN). Country-level socioeconomic indicator data were obtained from the UN and World Bank databases. The associations between socioeconomic indicators and SPBC were assessed using correlation coefficients and multivariate regression models. The findings show significant correlations between the SPBC for women and men aged 65 to 69 and country-level socioeconomic indicators: GII (r=-0.674, p=0.001), MLP (r=0.514, p=0.002) and PWP (r=0.498, p=0.003). The SPBC predictors for women and men were lower GIIs and higher MLP and PWP (R 2=0.508, p=0.001). Country-level socioeconomic indicators appear to have an important effect on the probability of becoming a centenarian in European adults aged 65 to 69. Country-level gender equality policies in European counties may decrease the risk of unhealthy old age and increase longevity in elders through greater national gender equality; disparities in GII and other country-level socioeconomic indicators impact longevity probability. National longevity strategies should target country-level gender inequality.
authors.affiliation: *Division of Health Administration and Social Welfare,Wonkwang University,Republic of Korea.
authors.forename: Jong In
authors.initials: JI
authors.lastname: Kim
authors.affiliation: ‡Management with International Business,Royal Holloway,University of London,UK.
authors.forename: Gukbin
authors.initials: G
authors.lastname: Kim
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D004651:Employment / Q000592:standards / Q000706:statistics & numerical data / Q000639:trends; D005060:Europe; D005260:Female; D054624:Health Status Disparities; D006801:Humans; D008017:Life Expectancy / Q000208:ethnology / Q000639:trends; D008136:Longevity; D008297:Male; D011057:Politics; D012044:Regression Analysis; D012737:Sex Factors; D012959:Socioeconomic Factors; D013219:State Government; D014480:United Nations / Q000706:statistics & numerical data