Open Access
| Issue |
SHS Web Conf.
Volume 169, 2023
4th International Symposium on Frontiers of Economics and Management Science (FEMS 2023)
|
|
|---|---|---|
| Article Number | 01045 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/shsconf/202316901045 | |
| Published online | 29 May 2023 | |
- Information on:https://www.who.int/mental_health/management/depression/prevalence_global_health_estimates/en/ [Google Scholar]
- Xiang Yuan, Zhao Han, Pei Lijun. Exploring the Association between Community Environment and Depression Among Middle aged and Elderly People in China. Population & Development. Vol. 29 (2023) No. 1, p. 149-160. [Google Scholar]
- Liu, J., Rozelle, S., Xu, Q., Yu, N., & Zhou, T. (2019). Social Engagement and elderly health in China: Evidence from the China Health and Retirement Longitudinal Survey (CHARLS). International Journal of Environmental Research and Public Health, 16(2), 278. https://doi.org/10.3390/ijerph16020278 [CrossRef] [Google Scholar]
- Ma, X., Piao, X., & Oshio, T. (2020). Impact of social participation on health among middle-aged and elderly adults evidence from longitudinal survey data in China. https://doi.org/10.21203/rs.2.17117/v2 [Google Scholar]
- Wang, X., Guo, J., Liu, H., Zhao, T., Li, H., & Wang, T. (2022). Impact of social participation types on depression in the elderly in China: An analysis based on counterfactual causal inference. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.792765 [Google Scholar]
- Bone, J. K., Bu, F., Fluharty, M. E., Paul, E., Sonke, J. K., & Fancourt, D. (2022). Engagement in leisure activities and depression in older adults in the United States: Longitudinal evidence from the Health and Retirement Study. Social Science & Medicine, 294, 114703. https://doi.org/10.1016/j.socscimed.2022.114703 [CrossRef] [Google Scholar]
- Nelson, L. A., Noonan, C. J., Goldberg, J., & Buchwald, D. S. (2013). Social Engagement and physical and cognitive health among American Indian participants in the Health and Retirement Study. Journal of Cross-Cultural Gerontology, 28(4), 453–463. https://doi.org/10.1007/s10823-013-9213-6 [CrossRef] [Google Scholar]
- Health and Retirement Study, ([2020 HRS Core]) public use dataset. Produced and distributed by the University of Michigan with funding from the National Institute on Aging (grant number NIA U01AG009740). Ann Arbor, MI, (2023) [Google Scholar]
- Zhao, Y., Hu, Y., Smith, J. P., Strauss, J., Yang, G., & Zhao, L. (2020). China Health and Retirement Longitudinal Study 2018 CHARLS Wave 4 User’s Guide. National School of Development, Peking University. [Google Scholar]
- Kim, K.-W., Lee, J.-Y., Lee, J.-Y., Jang, S.-N., Cho, S.-I., Shin, J., … Choe, M.-A. (2014). Data resource profile: The Korean Longitudinal Study of Ageing (KLoSA). International Journal of Epidemiology, 43(2), 537–546. doi: 10.1093/ije/dyt214 [Google Scholar]
- Sosa, J. (2012). Costa Rica: Estudio de Longevidad y Envejecimiento Saludable. Retrieved March 14, 2023, from http://www.creles.berkeley.edu/ [Google Scholar]
- Li Jia-Sen, Ma Wen-Jun. Prevalence and influencing factors of depression symptom among middle-aged and elderly people in China. Chinese Journal of Public Health. Vol. 33 (2017) No. 02, p. 177-181. [Google Scholar]
- Bock J, Hajek A, Weyerer S, et al. The Impact of Depressive Symptoms on Healthcare Costs in Late Life: Longitudinal Findings From the Age Moo De Study. The American journal of geriatric psychiatry. Vol. 25 (2017), p. 131-141. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.