PMID- 25403614
OWN - NLM
STAT- MEDLINE
DCOM- 20151117
LR  - 20181113
IS  - 1475-9276 (Electronic)
IS  - 1475-9276 (Linking)
VI  - 13
DP  - 2014 Nov 18
TI  - Labor force participation and secondary education of gender inequality index 
      (GII) associated with healthy life expectancy (HLE) at birth.
PG  - 106
LID - 10.1186/s12939-014-0106-2 [doi]
LID - 106
AB  - BACKGROUND: What is the factor that affects healthy life expectancy? Healthy life 
      expectancy (HLE) at birth may be influenced by components of the gender 
      inequality index (GII). Notably, this claim is not tested on the between 
      components of the GII, such as population at least secondary education (PLSE) 
      with ages 25 and older, labor force participation rate (LFPR) with ages 15 and 
      older, and the HLE in the world's countries. Thus, this study estimates the 
      associations between the PLSE, LFPR of components of the GII and the HLE. 
      METHODS: The data for the analysis of HLE in 148 countries were obtained from the 
      World Health Organization. Information regarding the GII indicators for this 
      study was obtained from the United Nations database. Associations between these 
      factors and HLE were assessed using Pearson correlation coefficients and 
      regression models. RESULTS: Although significant negative correlations were found 
      between HLE and the LFPR, positive correlations were found between HLE and PLSE. 
      Finally, the HLE predictors were used to form a model of the components of the 
      GII, with higher PLSE as secondary education and lower LFPR as labor force 
      (R(2) = 0.552, P <0.001). CONCLUSIONS: Gender inequality of the attainment 
      secondary education and labor force participation seems to have an important 
      latent effect on healthy life expectancy at birth. Therefore, in populations with 
      high HLE, the gender inequalities in HLE are smaller because of a combination of 
      a larger secondary education advantage and a smaller labor force disadvantage in 
      male-females.
FAU - Kim, Jong In
AU  - Kim JI
AD  - Division of Health and Welfare, Wonkwang University, Iksan-si, Republic of Korea. 
      kji122@wku.ac.kr.
FAU - Kim, Gukbin
AU  - Kim G
AD  - Management with International Business (BSc), Royal Holloway, University of 
      London, London, UK. gukb.kim@gmail.com.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20141118
PL  - England
TA  - Int J Equity Health
JT  - International journal for equity in health
JID - 101147692
SB  - IM
MH  - Adolescent
MH  - Adult
MH  - Aged
MH  - Educational Status
MH  - Employment/*statistics & numerical data
MH  - Female
MH  - Global Health/*statistics & numerical data
MH  - *Health Status Disparities
MH  - Humans
MH  - *Life Expectancy
MH  - Male
MH  - Middle Aged
MH  - Sex Factors
MH  - Young Adult
PMC - PMC4240826
EDAT- 2014/11/19 06:00
MHDA- 2015/11/18 06:00
PMCR- 2014/11/18
CRDT- 2014/11/19 06:00
PHST- 2014/03/04 00:00 [received]
PHST- 2014/10/19 00:00 [accepted]
PHST- 2014/11/19 06:00 [entrez]
PHST- 2014/11/19 06:00 [pubmed]
PHST- 2015/11/18 06:00 [medline]
PHST- 2014/11/18 00:00 [pmc-release]
AID - s12939-014-0106-2 [pii]
AID - 106 [pii]
AID - 10.1186/s12939-014-0106-2 [doi]
PST - epublish
SO  - Int J Equity Health. 2014 Nov 18;13:106. doi: 10.1186/s12939-014-0106-2.