Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Health and wellbeing among the empty nest and non-empty nest elderly in China—Results from a national cross-sectional study

  • Sijie Xu ,

    Contributed equally to this work with: Sijie Xu, Xiaocong Yang

    Roles Conceptualization, Data curation, Formal analysis, Writing – original draft

    Affiliation School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China

  • Xiaocong Yang ,

    Contributed equally to this work with: Sijie Xu, Xiaocong Yang

    Roles Conceptualization, Data curation, Formal analysis, Writing – original draft

    Affiliation School of Public Management, Guangzhou University, Guangzhou, China

  • Jieyu Liu,

    Roles Conceptualization, Writing – review & editing

    Affiliation SOAS China Institute, School of Oriental and African Studies, University of London, London, England

  • Marc Ka-chun Chong,

    Roles Formal analysis

    Affiliation The Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China

  • Yu Cheng,

    Roles Funding acquisition, Writing – review & editing

    Affiliation School of Social Science and Anthropology, Sun Yat-sen University, Guangzhou, China

  • Weiwei Gong ,

    Roles Conceptualization, Supervision, Writing – review & editing

    wwgong@cdc.zj.cn (WG); Gzou2023@outlook.com (GZ)

    Affiliation Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China

  • Guanyang Zou

    Roles Conceptualization, Funding acquisition, Writing – original draft, Writing – review & editing

    wwgong@cdc.zj.cn (WG); Gzou2023@outlook.com (GZ)

    Affiliation School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China

Abstract

Background

The number of empty nest elderly in China has gradually increased in recent years. There is growing concern about the physical and mental health of this population as empty nest elderly are commonly at the risk of compromising health, home safety and quality of life. This study reported the health and well-being of empty nest elderly with regards to their health status, depression and satisfaction, lifestyle as compared to non-empty nest elderly in China.

Methods

Data was collected from the 2018 follow-up interviews of China Health and Retirement Longitudinal Survey. We included 4,630 empty nest elderly and 6,188 non-empty nest elderly. Chi-square Test and Logistic Regression were used to compare the differences between these two groups.

Results

As compared to the non-empty nest elderly, there was higher proportion of empty nest elderly who suffered from dyslipidemia, diabetes, chronic lung diseases, heart attack (27.0% vs. 25.0%; 16.6% vs. 15.1%; 19.4% vs. 16.4%; 26.3% vs. 23.4%, P < 0.05). The empty nest elderly had higher proportion of participants who drank more than once a month (25.3% vs. 23.9%, P < 0.05), who felt satisfied with their marriage (71.6% vs. 66.2%, P < 0.001), who were satisfied with their children’s relationship (85.2% vs. 83.2%, P < 0.001). However, these significances disappeared in the Logistic Regression analysis (P > 0.05).

Conclusion

Our study showed that significant between-group difference was found between empty nest elderly and non-empty nest elderly in their health and wellbeing. However, disappearance of such difference in the multivariable analysis may indicate improved health and wellbeing among the empty nest elderly. Even though our study still suggested the importance of improving the health, lifestyles and family dynamics of the elderly and promoting the integration of health and social care for the elderly, especially among the empty nest elderly.

Introduction

China is almost a moderately aging society, with 18.7% of the total population above 60 years old [1]. With technological developments (e.g. in transport and communication), urbanization, migration and changing gender norms [2], the number of empty nest elderly in China has gradually increased in recent years- with nearly half of the elderly being empty nest elderly [3]. It is estimated that by 2030, the number of empty nest elderly households will account for 90% of elderly households [4]. There is growing concern about the physical and mental health of this population as empty nest elderly are commonly at the risk of compromising health, home safety and quality of life. This has caused increasing social and economic burden due to the lack of care and company from their children [5].

Studies have shown that empty nest elderly and non-empty nest elderly had significant differences in many aspects such as physical and mental health, social support. Nayak et al. [6] found that empty nesting was associated with depressive symptoms in older adults and depression was more serious among older people in empty nest elderly without partners in India. In Mexico, Antman [7] suggested that empty nest aging parents were associated with poorer physical and mental health outcomes. Randall Kuhn et al. [8] found that empty nesting had a negative impact on activities of daily living (ADL), self-rated health (SRH) and mortality of elderly parents. Previous studies in China showed that, compared with non-empty nest elderly, empty nest elderly had poorer physical health [9], lower subjective well-being [10], poorer cognitive ability [9], poorer mental health [9,11], higher loneliness [12], higher degree of depression [13], lower life satisfaction [14], lower quality of life related to health [15] and poorer social relations [14,16]. However, other studies from China have not found significant differences between these two elderly groups, for example, in terms of loneliness and cognition [17].

To date, many of the previous studies in China have focused on one dimension of health and focused on one region and have a lack of comparison between empty and non-empty nest elderly. Using the national survey data, this study aims to compare the health and well-being between empty nest elderly and non-empty nest elderly, with regards to the demographic factors, health status, depression, satisfaction and lifestyle. Our study will provide reference for promoting healthy aging and improving the welfare, instrumental and emotional support from adult children especially among empty nest elderly.

Methods

Data source and study sample

The data used in this paper was exported from the national survey of China Health and Retirement Longitudinal Survey in 2018 (CHARLS2018). CHARLS is a nationwide, population-based cohort study, designed and implemented by the National Development Research Institute of Peking University since January 1, 2011. It examines the health and economic situation of the rapidly aging population in China [18]. The baseline survey was conducted in 28 provinces, 150 countries/ districts, 450 villages/ urban communities across the country in 2011–2012, with wave 2, wave 3 and wave 4 conducted in 2013, 2015 and 2018 respectively. CHARLS2018 is the latest national representative survey data of middle-aged and elderly people. Using a stratified multi-stage probability proportional to size random sampling strategy, CHARLS2018 collected data from 19,818 participants [19]. The CHARLS 2018 database consists of several sub-databases, and the sub-databases involved in this study were the Demographic, Family Information, Family Transfer, Cognition, Health Status and Functioning. We created separate weights for households, individuals, and biomarkers to deal with nonresponse bias and sampling-frame errors. After excluding participants with age missing (n = 324) and those <60 years (n = 8676), finally, a total of 10,818 valid samples were included in our study, covering 4,630 empty nest elderly and 6,188 non-empty nest elderly (Fig 1).

thumbnail
Fig 1. Flow chart of study sample selection.

Fig 1 Flow chart of the selected empty nest elderly and non-empty nest elderly for our study in China Health and Retirement Longitudinal Survey in 2018 (CHARLS2018).

https://doi.org/10.1371/journal.pone.0291231.g001

Ethical approval for all the CHARLS waves was granted from the Institutional Review Board at Peking University. The IRB approval number for the main household survey, including anthropometrics, was IRB00001052-11015; the IRB approval number for biomarker collection, was IRB00001052-11014. During the fieldwork, each respondent who agreed to participate in the survey was asked to sign two copies of the informed consent. Authors had no access to information that could identify individual participants during and after data collection. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Key variable definitions

Empty nest elderly. According to previous studies, empty nest elderly are defined as those aged 60 years or older, having no children or living alone without their children for 12 months [16,2025]. It is a self-reported living arrangement mainly based on the questions of “Where does [XChildName[i]] live?” “During last year, how long had [XChildName[i]] lived with you and your spouse?”, regardless the consideration of physical distance and time duration with home leavers. In our study, these elderly people either lived alone without their spouses (empty nest singles) or with their spouses (empty nest couples). They might also be carer(s) of their parents, live with their grandchildren, live with other family relatives, so the empty nest family does not really mean “living without other family members”.

Variables

The variable of empty nesting or not was obtained by reconstructing the “Number of Children” variable and combining it with the “Where is [XChildName[i]] Living Regularly” question and the “How Long Live with XChildName[i]” question ‐ where the number of children for non-empty nest elderly was not “0”; in the “Where is [XChildName[i]] Living Regularly” question, those who showed “living with family respondent” were non-empty nest elderly, otherwise were empty nest elderly; in the “How Long Live with XChildName[i]” question, those who showed “0 (months)” were empty nest elderly, otherwise were non-empty nest elderly. The socio-demographic variables included age, gender, number of children, type of residence, location of residential address, education and marital status. Health status variables included self-assessed health status, diagnosed with hypertension, diagnosed with dyslipidemia, diagnosed with diabetes, diagnosed with chronic lung diseases, diagnosed with heart attack, diagnosed with stroke, diagnosed with emotional, nervous or psychiatric problems. Depression and satisfaction variables included have depressive symptoms, life satisfaction, health satisfaction, marital satisfaction and satisfaction with children’s relationship. Depression is measured based on the CES-D10 scale, which covers 10 questions in the CHARLS2018 questionnaire. Participants with total score ≥10 and <10 are judged as having or not having depressive symptoms. Lifestyle variables included average sleep, vigorous-intensity physical activities, moderate physical activities, mild physical activities, social activities, frequency of drinking.

Statistical analysis

Stata 17.0 statistic software was used to conduct statistical analysis (See S1 File for the selected data set). Descriptive analysis was used to report the socio-demographic information, health status, depression and satisfaction, lifestyle of empty nest elderly and non-empty nest elderly. Chi-square test was used to analyze and compare the differences between these two groups in these variables. Binomial Logistic Regression and Multinominal Logistic Regression were employed to confirm whether the status of empty nesting was associated with the health status, depression, satisfaction, lifestyle and other variables of the elderly. Significant variables (P < 0.05) derived from the between-group analysis were included in the logistic regression. The socio-demographic variables (including number of children, age, gender, type of residential address, location of residential address, highest level of education and marital status variables) were used as control variables in logistic regression analysis. P < 0.05 was considered statistically significant.

Results

Demographic comparison of empty nest elderly and non-empty nest elderly population

Of 10,818 elderly people, 4,630 (42.8%) and 6,188 (57.2%) were empty nest elderly and non-empty nest elderly respectively. As compared to the non-empty nest elderly, empty nest elderly had significantly higher proportion of men (51.9%vs. 48.1%, P < 0.05), those who were "married and living with spouse” (78.4% vs. 70.7%, P < 0.001), had lower proportion of participants who were aged≥ 80 (13.6% vs. 13.9%, P < 0.001), who had a number of children ≥4 (0.0% vs. 1.3%, P < 0.001), who lived in the family house (97.5% vs. 98.9%, P < 0.001). No statistical difference was found between empty nest elderly and non-empty nest elderly regarding residential address location (P = 0.386) and education (P = 0.683) (Table 1 and see S2 File for the weighted process).

thumbnail
Table 1. Demographic sociological comparison of non-empty nest elderly and empty nest elderly.

https://doi.org/10.1371/journal.pone.0291231.t001

Comparison of health status between empty nest elderly and non-empty nest elderly

As compared to non-empty nest elderly, empty nest elderly had higher proportion of participants with dyslipidemia (27.0% vs. 25.0%, P < 0.05), diabetes (16.6% vs. 15.1%, P < 0.05), chronic lung diseases (19.4% vs. 16.4%, P < 0.05) and heart attack (26.3% vs. 23.4%, P < 0.05). No statistical difference was found between empty nest elderly and non-empty nest elderly regarding self-assessed health status (P = 0.318), whether being diagnosed with hypertension (P = 0.676), stroke (P = 0.867) and emotional problems (P = 0.152) (Table 2 and see S3 File for the weighted process).

thumbnail
Table 2. Comparison of health status between non-empty nest elderly and empty nest elderly.

https://doi.org/10.1371/journal.pone.0291231.t002

Comparison of depression and satisfaction between empty nest elderly and non-empty nest elderly

As compared to non-empty nest elderly, empty nest elderly had higher proportion of participants who felt satisfied with their marriage (71.6% vs. 66.2%, P < 0.001), who were satisfied with their children’s relationship (85.2% vs. 83.2%, P < 0.001). No statistical difference was found between empty nest elderly and non-empty nest elderly regarding the presence of depressive symptoms (P = 0.553), life satisfaction (P = 0.573) and health satisfaction (P = 0.297) (Table 3 and see S4 File for the weighted process).

thumbnail
Table 3. Comparison of depression and satisfaction between non-empty nest elderly and empty nest elderly.

https://doi.org/10.1371/journal.pone.0291231.t003

Comparison of lifestyle between empty nest elderly and non-empty nest elderly

As compared to the non-empty nest elderly, empty nest elderly had higher proportion of participants who drank more than once a month (25.3% vs. 23.9%, P < 0.05). No statistical difference was found between empty nest elderly and non-empty nest elderly regarding average sleeping time per night (P = 0.970), whether intensive physical activities exceeding 10 minutes each time (P = 0.742), whether moderate physical activities exceeding 10 minutes each time (P = 0.157), whether light physical activities exceeding 10 minutes each time (P = 0.597) and whether participating in social activities (P = 0.882) (Table 4 and see S5 File for the weighted process).

thumbnail
Table 4. Comparison of lifestyle between non-empty nest elderly and empty nest elderly.

https://doi.org/10.1371/journal.pone.0291231.t004

Influence of "empty nesting” on health status and other variables: Based on multivariable analysis

The Binomial Logistic Regression Analysis did not show significant difference between the empty nest elderly and non-empty nest elderly regarding dyslipidemia, diabetes, chronic lung diseases and heart attack (P > 0.05). Similarly, based on the Multinomial Logistic Regression Analysis, no significant difference was found between these two groups regarding their satisfaction with relationships with spouses and children and frequency of drinking alcohol (P > 0.05) (Table 5).

Discussion

Our analysis found that compared with the non-empty nest elderly, the empty nest elderly had higher proportion of dyslipidemia, diabetes, chronic lung diseases and heart attack. Previous studies have also shown that compared with non-empty nest elderly, empty nest elderly have a higher risk of endocrine disorders and immune disorders [26,27]. As suggested by our study, coupled with unhealthy lifestyle and lack of care from their children, empty nest elderly may be more likely to suffer from diseases such as diabetes and dyslipidemia.

Moreover, our analysis showed that empty nest elderly had higher proportion of participants who were "married and lived with spouse” as compared to non-empty nest elderly. While further research is needed for this interesting finding, we found that empty nest elderly had higher proportion of participants who felt satisfied with their marriage than non-empty nest elderly. Similarly, a previous study found that empty nest elderly who lived as couples were more likely to be satisfied with their marriage and had the lower depression scores than non-empty nest elderly who lived as couples [28]. This finding might be related to the intergenerational dynamics experienced by non-empty nest elderly: a significant proportion of elders who currently live with adult children have to undertake care duties for their grandchildren and thus have relatively less time left to interact with their spouse [29]. By contrast, among empty nest elderly, as the spouse have sufficient time to interact among themselves, they may experience higher sense of satisfaction about their marriage. Contrary to the previous study in China [30], the empty nest elderly had higher proportion of participants who felt satisfied with the children’s relationship than non-empty nest elderly. Traditional filial piety has shaped older people’s expectation that their adult children are responsible to provide all forms of support in old age. However, when their children leave home, empty nest elderly may have more time to organize their own lives than non-empty nest elderly, may avoid some of the contradictions and conflicts encountered in co-living with their children, and may have different feelings in their relationship with their children [31].

Our analysis also showed that, consistent with other studies [32], the lifestyle of empty nest elderly was relatively unhealthy, as empty nest elderly had higher proportion of participants who drank more frequently than non-empty nest elderly. Non-empty nest elderly tended to have better lifestyles perhaps because they had more opportunities to get along with their children, who for example, could advise on lifestyle behavior in a timely manner.

Unexpectedly, our multivariable analysis showed that no statistical difference was found between empty nest elderly and non-empty nest elderly regarding dyslipidemia, diabetes, chronic lung diseases, heart attack, marriage satisfaction, children satisfaction and frequency of alcoholic drinking. Indeed, research of Chinese families and intergenerational relations have identified a new form of intergenerational living since the 1990s, that is, live separately but close by. Scholars have coined terms such as “aggregate family” [33] or “networked family” to refer to this new form of intergenerational living; living close by is the most preferred form of living among the ageing population in China. While the survey data did not allow us to investigate this form of living and its impact upon the health and well-being of ageing parents, we speculated that the no differences in health status and well-being between non-empty nest elderly and empty nest elderly might be related to the fact that neither form of living is ideal for the ageing parents. However, the majority of our study participants, both empty and non-empty nest elderly, were rural (66.9%). Previous studies have also shown that adult children in rural areas do not usually move too far away from where their parents live and generally move to nearby villages [3], so they can easily meet up and support each other. Also, the participants chosen for our study were born before 1958, a generation that, because of the absence of the "one-child policy", often had many siblings and tended to live together. Their health and wellbeing (e.g., loneliness) of the empty-nest elderly due to the absence of their adult children could be compensated for by convenient support from their siblings. Therefore, this generation of empty nest elderly is not completely "empty" and their health and well-being may not differ significantly from that of non-empty nest elderly.

More importantly, China have been actively addressing population ageing, which may help to reduce the gap in health or well-being between empty nest elderly and non-empty nest elderly. Thanks to the rapid economic growth, China has improved the life expectancy and educational attainment, and reduced disability among the elderly. It has also improved the health care system for the elderly, e.g., through expansion of access to public health services in both urban and rural areas [34]. Various models of integrated care are being explored and implemented to adapt to the development of the aging population and improve the health status and quality of life for the elderly [35].

Although we do not find significant difference with regards to the study variables of health and wellbeing among the empty nest and non-empty nest elderly in the multivariable analysis, a few policy implications can be drawn from this study:

Firstly, increased attention and guidance should be given to the physical and mental health problems of empty nest elderly, through more proactive health promotion and intervention among the empty nest elderly, as our Chi-square analysis suggested higher proportion of participants suffering from dyslipidemia, diabetes, chronic lung diseases and heart attack among empty nest elderly than that of non-empty nest elderly.

Secondly, empty nest elderly should still be given more family and social support. Contrary to our cognition, our study found empty nest elderly had higher proportion of participants who were satisfied with life, health, marriage, children than non-empty nest elderly. While this implies the need to strengthen the family and social support for non-empty elderly, equally important support should also be given to the empty nest elderly since inconsistent results were identified from different studies [14,36]. For instance, it is necessary to provide education and training on how to improve communication among couples and between elderly and their children, among both empty nest and non-empty nest elderly.

Thirdly, it is important to improve the supply of aged care services among empty nest elderly since we found that empty nest elderly had a worse lifestyle than non-empty nest elderly in univariate analysis. With population aging in China, it is also important to develop community or home- based elderly care system to meet the increasing demand of elderly. Community should be targeted as an important platform where information and suggestions on healthy ageing are communicated to the elders to improve their lifestyles and social activities [37]. In other words, community could serve as an important bridge to offset the distance in health status between empty nest elderly and non-empty nest elderly.

Limitations

There are several limitations of this study. First, there was no authoritative and unified definitions and standards on the empty nest elderly. Due to limitation of the survey data and using second-hand data for the research, we could not take into consideration the distance between ageing parents and their adult children who lived close by. It would be interesting to evaluate whether this compromise between empty nest elderly and non-empty nest elderly have produced better consequences on health and wellbeing for the ageing parents. Second, although this study carried on the comparative analysis from the comprehensive aspect, it cannot consider all aspects, such as economic income. Third, we only divided the participants into empty nest and non-empty nest, and future research can consider different subgroups under both groups (such as ages, number of children, living alone or with spouse, living in rural or urban areas), to improve the robustness of the comparation. Finally, 324 participants (i.e., 2.9% of the total samples) with age missing were removed from our analysis; furthermore, missing values existed among other variables, but this only remained between 0.5% and 10%, thus resulting in little bias in a large-sample analysis. Despite these limitations, results from this study will provide reference for promoting healthy aging, especially among empty nest elderly.

Conclusions

Our study identified significant between-group differences of the health and wellbeing among the empty nest elderly and non-empty nest elderly regarding the development of dyslipidemia, diabetes, chronic lung diseases, heart attack, frequency of drinking, satisfaction with relationships with spouses and children. However, disappearance of such difference in the multivariable analysis may indicate improved health and wellbeing among the empty elderly. Even though our study still suggested the importance of improving the health, lifestyles, family dynamics of the elderly and promoting the integration of health and social care for the elderly, especially among the empty-nest elderly.

Supporting information

S1 Checklist. STROBE statement—checklist of items that should be included in reports of observational studies.

https://doi.org/10.1371/journal.pone.0291231.s001

(DOCX)

S1 File. Study’s minimal underlying data set.

https://doi.org/10.1371/journal.pone.0291231.s002

(ZIP)

Acknowledgments

The authors gratefully acknowledge the China Health and Retirement Longitudinal Study (CHARLS) team for providing the research dataset. Neither the original collectors nor the distributors of the data bear any responsibility for the analyses or interpretations presented here. All remaining errors are our own.

References

  1. 1. Hongpei Z, Dan Z. Health services to be boosted as people in China retire later: analysts Global Times2021 [updated 2021]. Available from: https://www.globaltimes.cn/page/202105/1224991.
  2. 2. Ageing and health: World Health Organization; 2022 [updated 2022]. Available from: https://www.who.int/news-room/fact-sheets/detail/ageing-and-health.
  3. 3. Chang Y, Guo XF, Guo L, Li Z, Yang HM, Yu SS, et al. Comprehensive Comparison between Empty Nest and Non-Empty Nest Elderly: A Cross-Sectional Study among Rural Populations in Northeast China. International Journal of Environmental Research and Public Health. 2016;13(9). . PubMed PMID: WOS:000384695800021. pmid:27618905
  4. 4. Huang GG, Duan YY, Guo F, Chen G. Prevalence and related influencing factors of depression symptoms among empty-nest older adults in China. Archives of Gerontology and Geriatrics. 2020;91. . PubMed PMID: WOS:000579456600005. pmid:32721660
  5. 5. Drysdale C. Ageism is a global challenge: UN Geneva, Switzerland: World Health Organization; 2021 [updated 2021]. Available from: https://www.who.int/news/item/18-03-2021-ageism-is-a-global-challenge-un.
  6. 6. Nayak I, Siddhanta A, Panda BK. Does Empty Nest Elderly Experience More Depressive Symptoms than Non-Empty Nest Elderly? Evidence from Longitudinal Aging Study in India. Hospital topics. 2022:1–12. . PubMed PMID: MEDLINE:pmid:35816557.
  7. 7. Antman FM. Adult Child Migration and the Health of Elderly Parents Left Behind in Mexico. The American economic review. 2010;100(2):205–8. . PubMed PMID: MEDLINE:pmid:25125699.
  8. 8. Kuhn R, Everett B, Silvey R. The effects of children’s migration on elderly kin’s health: a counterfactual approach. Demography. 2011;48(1):183–209. . PubMed PMID: MEDLINE:pmid:21258887.
  9. 9. Gao M, Li YY, Zhang SF, Gu LN, Zhang JS, Li ZJ, et al. Does an Empty Nest Affect Elders’ Health? Empirical Evidence from China. International Journal of Environmental Research and Public Health. 2017;14(5). . PubMed PMID: WOS:000404106400011. pmid:28448458
  10. 10. Zhang Y. Are Empty-Nest Elders Unhappy? Re-examining Chinese Empty-Nest Elders’ Subjective Well-Being Considering Social Changes. Frontiers in psychology. 2020;11:885. . PubMed PMID: MEDLINE:pmid:32508715.
  11. 11. Wang L, Liu W, Liang Y, Wei Y. Mental Health and Depressive Feeling of Empty-nest Elderly People in China. American journal of health behavior. 2019;43(6):1171–85. . PubMed PMID: MEDLINE:pmid:31662175.
  12. 12. Cheng P, Jin Y, Sun HM, Tang ZH, Zhang C, Chen YJ, et al. Disparities in prevalence and risk indicators of loneliness between rural empty nest and non-empty nest older adults in Chizhou, China. Geriatrics & Gerontology International. 2015;15(3):356–64. . PubMed PMID: WOS:000352565000016. pmid:24629147
  13. 13. Zhai YJ, Yi HM, Shen W, Xiao YY, Fan HX, He F, et al. Association of empty nest with depressive symptom in a Chinese elderly population: A cross-sectional study. Journal of Affective Disorders. 2015;187:218–23. . PubMed PMID: WOS:000361845300032. pmid:26342917
  14. 14. Liu LJ, Guo Q. Life satisfaction in a sample of empty-nest elderly: a survey in the rural area of a mountainous county in China. Quality of Life Research. 2008;17(6):823–30. . PubMed PMID: WOS:000258059200001. pmid:18595006
  15. 15. Liang Y, Wu W. Exploratory analysis of health-related quality of life among the empty-nest elderly in rural China: An empirical study in three economically developed cities in eastern China. Health and Quality of Life Outcomes. 2014;12. . PubMed PMID: WOS:000335603600001. pmid:24766880
  16. 16. Wu ZQ, Sun L, Sun YH, Zhang XJ, Tao FB, Cui GH. Correlation between loneliness and social relationship among empty nest elderly in Anhui rural area, China. Aging & Mental Health. 2010;14(1):108–12. . PubMed PMID: WOS:000274553300011. pmid:20155527
  17. 17. Fu C, Yang F, Mao ZF. FACTORS ASSOCIATED WITH COGNITIVE DECLINE AMONG ELDERLY IN WUHAN, CHINA LIVING ALONE VERSUS THOSE LIVING WITH CHILDREN. Southeast Asian Journal of Tropical Medicine and Public Health. 2018;49(4):696–706. PubMed PMID: WOS:000444066300017.
  18. 18. Zhao YH, Hu YS, Smith JP, Strauss J, Yang GH. Cohort Profile: The China Health and Retirement Longitudinal Study (CHARLS). International Journal of Epidemiology. 2014;43(1):61–8. . PubMed PMID: WOS:000332341300012. pmid:23243115
  19. 19. About CHARLS: China Health and Retirement Longitudinal Study 2019 [updated 2019]. Available from: https://charls.pku.edu.cn/en/About/About_CHARLS.htm.
  20. 20. Bouchard G. How Do Parents React When Their Children Leave Home? An Integrative Review. Journal of Adult Development. 2014;21(2):79.
  21. 21. Bouchard G. A Dyadic Examination of Marital Quality at the Empty-Nest Phase. International journal of aging & human development. 2018;86(1):34–50. . PubMed PMID: MEDLINE:pmid:28152604.
  22. 22. He WB, Jiang LL, Ge XJ, Ye JX, Yang N, Li MX, et al. Quality of life of empty-nest elderly in China: a systematic review and meta-analysis. Psychology Health & Medicine. 2020;25(2):131–47. . PubMed PMID: WOS:000497852900001. pmid:31752538
  23. 23. Thapa DK, Visentin D, Kornhaber R, Cleary M. Migration of adult children and mental health of older parents ’left behind’: An integrative review. Plos One. 2018;13(10). . PubMed PMID: WOS:000447938400014. pmid:30346972
  24. 24. Wang ZQ, Shu DF, Dong BR, Luo L, Hao QK. Anxiety disorders and its risk factors among the Sichuan empty-nest older adults: A cross-sectional study. Archives of Gerontology and Geriatrics. 2013;56(2):298–302. . PubMed PMID: WOS:000313700100002. pmid:23022057
  25. 25. Xie LQ, Zhou J, Deng YL, Richmond CJ, Na J. Resilience and affect balance of empty-nest older adults with mild cognitive impairment in poor rural areas of Hunan province, China. Geriatrics & Gerontology International. 2019;19(3):222–7. . PubMed PMID: WOS:000459943300009. pmid:30706664
  26. 26. Wang J, Zhao X. Empty nest syndrome in China. The International journal of social psychiatry. 2012;58(1):110. . PubMed PMID: MEDLINE:pmid:22156052.
  27. 27. Zhou CC, Ji CM, Chu J, Medina A, Li CC, Jiang S, et al. Non-use of health care service among empty-nest elderly in Shandong, China: a cross-sectional study. Bmc Health Services Research. 2015;15. . PubMed PMID: WOS:000358566700001. pmid:26219288
  28. 28. Yang F, Li Z, Wang GW, Shi XX, Fu C. Cognitive function and its influencing factors in empty-nest elderly and non-empty-nest elderly adults in China. Aging-Us. 2021;13(3):4552–63. PubMed PMID: WOS:000618810700017. pmid:33495422
  29. 29. Goh ECL. Grandparents as childcare providers: An in-depth analysis of the case of Xiamen, China. Journal of Aging Studies. 2009;23(1):60–8. doi: https://doi.org/https://doi.org/10.1016/j.jaging.2007.08.001.
  30. 30. Guo YQ, Zhang CC, Huang H, Zheng X, Pan XJ, Zheng JZ. Mental health and related influencing factors among the empty-nest elderly and the non-empty-nest elderly in Taiyuan, China: a cross-sectional study. Public Health. 2016;141:210–7. . PubMed PMID: WOS:000390639900035. pmid:27932003
  31. 31. Clay R. An empty nest can promote freedom, improved relationships. Monitor on psychology. 2003;34(4):40–1.
  32. 32. Xu W, Li Z, Pan Z, He R, Zhang L. Prevalence and associated factors of self-treatment behaviour among different elder subgroups in rural China: a cross-sectional study. International journal for equity in health. 2020;19(1):32. . PubMed PMID: MEDLINE:pmid:32164667.
  33. 33. China’s Revolutions and Intergenerational Relations. Whyte MK, editor: University of Michigan Press; 2003.
  34. 34. Mather M. Aging and health in China: Population Reference Bureau; 2020 [cited 2020]. Available from: https://www.prb.org/resources/china-aging-worlds-largest-population-older-people/#section__5.
  35. 35. Bao J, Zhou L, Liu G, Tang J, Lu X, Cheng C, et al. Current state of care for the elderly in China in the context of an aging population. Bioscience trends. 2022;16(2):107–18. Epub 2022/04/19. pmid:35431289.
  36. 36. Liang Y, Niu X, Lu P. The aging population in China: Subjective well-being of empty nesters in rural eastern China. Journal of Health Psychology. 2020;25(3):361–72. pmid:28810487.
  37. 37. Liu J, Cook J. Ageing and intergenerational care in rural China: a qualitative study of policy development. Contemporary Social Science. 2020;15(3):378–91.