Zang Emma, Bardo Anthony R
Sanford School of Public Policy, Duke University, Durham, USA.
Department of Sociology, University of Kentucky, Lexington, USA.
Soc Indic Res. 2019;143(2):765-794. doi: 10.1007/s11205-018-1991-3. Epub 2018 Sep 1.
Socioeconomic status (SES) is largely understood to be a fundamental determinant of health. Recently, subjective socioeconomic status (SSS) has emerged as a potentially important predictor of health above and beyond traditional (i.e., objective) SES indicators (OSS). The current study adds to this emerging body of research by examining the potentially important role of status discrepancies for health outcomes. We used nationally representative data from three East Asian countries (China, Japan, and South Korea) (2010 East Asian Social Survey) and a non-linear statistical technique (i.e., diagonal mobility model) to simultaneously model the independent contributions of OSS and SSS and their discrepancy for three health outcomes. Findings showed that SSS does, in fact, explain additional variation in health net of OSS in most cases, and status discrepancy is not associated with any of the three health outcomes. While status discrepancy was not found to be a driving factor in determining the predictive power of SSS net of OSS (at least in East Asia), the present study adds robustness to the accumulating evidence that challenges the social inequality hypothesis and provides a basis from which future research can build and contribute further to the understanding surrounding socioeconomic status and health outcomes.
社会经济地位(SES)在很大程度上被认为是健康的一个基本决定因素。最近,主观社会经济地位(SSS)已成为超越传统(即客观)SES指标(OSS)的健康潜在重要预测因素。本研究通过考察地位差异对健康结果的潜在重要作用,为这一新兴研究领域增添了内容。我们使用了来自三个东亚国家(中国、日本和韩国)具有全国代表性的数据(2010年东亚社会调查)以及一种非线性统计技术(即对角线流动模型),来同时模拟OSS和SSS的独立贡献及其差异对三种健康结果的影响。研究结果表明,事实上,在大多数情况下,SSS确实能够解释去除OSS后健康状况的额外差异,而且地位差异与三种健康结果中的任何一种都没有关联。虽然地位差异并未被发现是决定去除OSS后SSS预测能力的驱动因素(至少在东亚地区是这样),但本研究为不断积累的挑战社会不平等假设的证据增添了稳健性,并为未来研究提供了一个基础,使其能够在此基础上进一步深入,为围绕社会经济地位和健康结果的理解做出更大贡献。