College of Public Administration and Law, Hunan Agricultural University, Changsha, China.
School of Public Management and Law, Anhui University of Technology, Ma'anshan, China.
BMC Geriatr. 2023 Dec 21;23(1):879. doi: 10.1186/s12877-023-04609-3.
Presently, global aging has become increasingly serious, whereas the health concerns brought by aging have become a public issue that warrants an urgent solution from all countries across the world. Therefore, this research paper discusses the influence of neighborhood health on elderly individuals' health, and extending a realistic basis for the other economies to improve the neighborhood environment and promote the health of the elderly.
Based on the data of CHARLS2018, this research paper adopts the samples that fulfill the study requirements (N = 7326). we constructed a comprehensive research framework integrating oprobit regression model, heterogeneity analysis, conditional mixed process(CMP)robustness testing, Furthermore, the KHB decomposition method is implemented to ascertain the influential mechanism of NMH and NPH on the mental- and physical health of elderly persons.
The oprobit regression model analysis indicates that NMH 0.434 and NPH 0.550 exert positive influences on the elderly's mental- and physical health. Meanwhile, the effects of conditional mixed process on NMH and NPH stand at 0.381 and4.372, which are different from the oprobit regression results; thereby, indicating the existence of endogeneity. Afterward, KHB mediating effect confirms that Internet use, gift reciprocity, and charity activity contribute 30.21% and 16.83% to mental- and physical health, respectively.
Firstly, the NMH and NPH demonstrate a positive influence on the mental- and physical health of the elder population. However, there exist heterogeneous differences. Secondly, the conditional mixed process deals with the endogeneity of NMH and NPH. Thirdly, social integration, social interaction, and social engagement serve as significant transmission mechanisms for the influences of NMH and NPH on the health of elderly persons.
目前，全球老龄化问题日益严重，老龄化带来的健康问题已成为全世界各国亟待解决的公共问题。因此，本研究探讨了邻里健康对老年人健康的影响，为其他经济体改善邻里环境、促进老年人健康提供了现实依据。
基于 CHARLS2018 数据，本文采用符合研究要求的样本（N=7326），构建了一个综合研究框架，整合了 oprobit 回归模型、异质性分析、条件混合过程（CMP）稳健性检验，同时采用 KHB 分解方法确定 NMH 和 NPH 对老年人身心健康的影响机制。
oprobit 回归模型分析表明，NMH 对老年人身心健康的影响为正，影响系数为 0.434；NPH 对老年人身心健康的影响为正，影响系数为 0.550。同时，条件混合过程对 NMH 和 NPH 的影响分别为 0.381 和 4.372，与 oprobit 回归结果不同，表明存在内生性。随后，KHB 中介效应证实，互联网使用、礼品互惠和慈善活动分别对老年人的身心健康有 30.21%和 16.83%的贡献。
首先，邻里健康和邻里亲密度对老年人的身心健康有正向影响，但存在异质性差异。其次，条件混合过程处理了 NMH 和 NPH 的内生性问题。最后，社会融合、社会互动和社会参与是 NMH 和 NPH 对老年人健康影响的重要传递机制。
