Division of Social Welfare and Health Administration, Wonkwang University, Iksan, Republic of Korea.
Institute for Longevity Sciences, Wonkwang University, Iksan, Republic of Korea.
BMC Public Health. 2018 Feb 13;18(1):243. doi: 10.1186/s12889-018-5134-1.
Inequality in life expectancy (ILE) is defined as inequality in the distribution of expected span of life-based on data from survival tables estimated using the Atkinson inequality index. ILE can be influenced by socio-ecological indicators including the Gini coefficient, secondary education, output per worker, and old age pension. This study examined the effects on ILE from a social ecology perspective.
This analysis is based on ILE data from 108 countries obtained from the United Nations Development Programme. Data on socio-ecological indicators were obtained from the United Nations database. The associations between socio-ecological indicators and ILE were assessed using correlation coefficients and multiple regression models.
Significant correlations were evident between ILE and the following indicators from a socio-ecological perspective: Gini coefficient (GC: r = 0.335, p = 0.001) as an indicator of income inequality, female population with at least some secondary education (FSE: r = - 0.757, p = 0.001), male population with at least some secondary education (MSE: r = - 0.741, p = 0.001), output per worker as a measure of labor productivity (OPW: r = - 0.714, p = 0.001), and number of old age pension recipients (OPR: r = - 0.641, p = 0.001). In multivariate regression, the ILE predictors were higher GC and lower levels of FSE, MSE, OPW, and OPR (R = 0.648, p < 0.001).
Socio-ecological factors have an important effect on ILE. Policies that address ILE should consider targeted socio-ecological factors, such as the Gini coefficient of income inequality, that give a personal perspective of economic deprivation, attainment of at least a secondary education by both females and males that gives a social environment perspective, output per worker that indicates labor productivity, and the number of old age pension recipients that indicates social security from a public policy perspective.
基于生存表数据估计的使用阿特金森不平等指数的预期寿命分布的不平等定义为预期寿命的不平等(ILE)。ILE 可能受到社会生态指标的影响,包括基尼系数、中等教育、每个工人的产出和养老金。本研究从社会生态学的角度研究了 ILE 的影响。
本分析基于从联合国开发计划署获得的 108 个国家的 ILE 数据。社会生态指标的数据来自联合国数据库。使用相关系数和多元回归模型评估社会生态指标与 ILE 之间的关联。
ILE 与社会生态学角度的以下指标之间存在显著相关性:基尼系数(GC:r=0.335,p=0.001)作为收入不平等的指标、至少具有一些中等教育的女性人口(FSE:r=-0.757,p=0.001)、至少具有一些中等教育的男性人口(MSE:r=-0.741,p=0.001)、作为劳动生产率衡量标准的每个工人的产出(OPW:r=-0.714,p=0.001)和养老金领取人数(OPR:r=-0.641,p=0.001)。在多元回归中,ILE 的预测因子是更高的 GC 和更低水平的 FSE、MSE、OPW 和 OPR(R=0.648,p<0.001)。
社会生态因素对 ILE 有重要影响。解决 ILE 问题的政策应考虑到有针对性的社会生态因素,例如收入不平等的基尼系数,这给出了经济贫困的个人视角;女性和男性至少接受中等教育,这给出了社会环境视角;每个工人的产出,这表明劳动生产率;以及养老金领取人数,这表明从公共政策角度的社会保障。