Health care for the rural elderly in and empty nest family is a major problem in such an ageing society such as China. Based on previous studies, China’s rural health care services only focus on the physical health of the elderly, while public health care services only provide primary services such as blood pressure and blood glucose measurement. This leads to the question of whether physical health is the most important issue for the Chinese rural empty nest elderly (CREE). It is necessary to find out their health status, nursing needs and influencing factors associated with healthy ageing (HA). Using the method of logistic regression, four dimensions of HA (adding psychological health, social participation and daily activities to physical health) among 618 respondents in total were analyzed based on public panel data from the national survey of the China Health and Retirement Longitudinal Study (CHARLS). Interesting results have been found; for example, the most important factor restricting the HA of the CREE is not physical health but social participation. The independence, health, good employment and economic conditions of their adult children play an important role in protecting the HA of the CREE.

In China, older parents have become an important source of childcare for their grown children since 2010. However, caring for grandchildren may affect older parents’ psychological health (PH) in both positive and negative ways. Using the method of stepwise decreasing logistic regression, this study aimed to assess the factors associated with PH and support from grown children among caregiving older parents (400 respondents) based on the public panel data of the China Health and Retirement Longitudinal Study (CHARLS). The findings showed that being male (X1, OR = 1.661 (95% CI 1.066–2.590)), being literate (X4, OR = 2.129 (95% CI 1.369–3.309)), and expecting long-term care in the future from their grown children (X6, OR = 2.695 (95% CI 1.736–4.185)) were significant factors associated with PH. Therefore, in such an aging society, we should not regard older parents as a “burden”; we should recognize and appreciate their contribution to caregiving. As family and children, it is important to give older parents the necessary economic and emotional support to maintain their psychological health in the meantime.

In the era of artificial intelligence, big data and 5G, health care for elderly people is facing an important digital transformation. The objective of this study is to design the data analysis module of the elderly health service monitoring system (HSMS) and attempt to put forward a new healthy aging (HA) model that is applicable not only to the individual HA, but also to the regional HA system. Based on the HA theory of collaborative governance, we divided the elderly HSMS into four modules, including physical health, mental health, ability of daily activity, and social participation. Then, factors that influence HA were assessed by stepwise logistic regression to build the analysis model, using the public micro-panel data of the China Health and Retirement Longitudinal Survey (CHARLS). Age (odds ratio (OR) = 1.55 (95% confidence interval (CI): 1.06–2.27)), living in urban areas (OR = 1.57 (95% CI: 1.03–2.39)), being literate (OR = 1.51 (95% CI: 1.01–2.23)), expecting to get long-term health care in the future from their grown children (OR = 1.69 (95% CI: 1.10–2.61)) and having literate grown children (OR = 2.01 (95% CI: 0.26–0.97)) had a significant positive impact on HA of elderly people. Therefore, the F-W (factors and weighs, also family and welfare) model is proposed in this paper. The outcomes can contribute with designing HSMS for different provinces and several different regions in China and leave a door open to improve the model and algorithm application for HSMS in the future studies.