Open Access
Issue
SHS Web of Conf.
Volume 187, 2024
2023 2nd International Conference on Educational Science and Social Culture (ESSC 2023)
Article Number 04008
Number of page(s) 14
Section Social Digital Development and Intercultural Communication
DOI https://doi.org/10.1051/shsconf/202418704008
Published online 20 March 2024
  1. The State Council of the People’s Republic of China. (2021).The 14th Five-Year Plan for National Economic and Social Development and the Long-Range Objectives Through the Year 2035. Retrieved Nov. 23, 2023, from https://www.gov.cn/xinwen/2021-03/13/content_5592681.htm [Google Scholar]
  2. National Health Commission of the PRC. (2021). China Health Statistics Yearbook 2020. Retrieved Nov. 23, 2023, from http://www.nhc.gov.cn/mohwsbwstjxxzx/tjtjnj/202112/dcd39654d66c4e6abf4d7b1389becd01.shtml [Google Scholar]
  3. Pan, X., Wang, L. & Pan, A. (2021). Epidemiology and determinants of obesity in China. The lancet. Diabetes endocrinology, 9(6):373-392. [Google Scholar]
  4. Liu, G. (2021). Healthy China and Economic growth in the post-pandemic era. Retrieved October 29, 2023, from Peking University, Institute for Global Health and Development Web site: https://www.ghd.pku.edu.cn/rcdw/jsxl/L/lg/lgyjgd/c637a5d879194d2dac375929c6ec3a41.htm. [Google Scholar]
  5. Gorina, M., Limonero, J. T., & Alvarez, M. (2018). Effectiveness of primary healthcare educational interventions undertaken by nurses to improve chronic disease management in patients with diabetes mellitus, hypertension and hypercholesterolemia: A systematic review. International journal of nursing studies, 86, 139-150. [Google Scholar]
  6. Liu, H.,Mu, Y. & Feng, Z. (2015). Implications of American Managed Care on the Community-based Health Management in China. Medicine and Philosophy, 36(9):74-77. [Google Scholar]
  7. Lv, S. (2016). Review of progress of scientific research on health education and health promotion in China. Chinese Journal of Health Education, 32(12):1119-1122. [Google Scholar]
  8. Schwarzer R, Luszczynska A. (2008). How to overcome health-compromising behaviors: The health action process approach. European Psychologist, 13(2): 141-151. [CrossRef] [Google Scholar]
  9. Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological bulletin, 84(5), 888. [Google Scholar]
  10. Sheeran, P. (2002). Intention—behavior relations: a conceptual and empirical review. European review of social psychology, 12(1), 1-36. [CrossRef] [Google Scholar]
  11. Bierbauer, W., Inauen, J., Schaefer, S., Kleemeyer, M. M., Lüscher, J., König, C., ... & Scholz, U. (2017). Health behavior change in older adults: Testing the health action process approach at the inter‐and intraindividual level. Applied Psychology: Health and Well‐Being, 9(3), 324-348. [Google Scholar]
  12. Buawangpong, N., Sirikul, W., Anukhro, C., Seesen, M., La-Up, A., & Siviroj, P. (2022). Health information sources influencing health literacy in different social contexts across age groups in northern Thailand citizens. International Journal of Environmental Research and Public Health, 19(10), 6051. [Google Scholar]
  13. Li, X., & Liu, Q. (2020). Social media use, eHealth literacy, disease knowledge, and preventive behaviors in the COVID-19 pandemic: Cross-sectional study on Chinese netizens. Journal of medical Internet research, 22(10), e19684. [Google Scholar]
  14. Kontos, E., Blake, K. D., Chou, W. Y. S., & Prestin, A. (2014). Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012. Journal of medical Internet research, 16(7), e172. [Google Scholar]
  15. Tennant, B., Stellefson, M., Dodd, V., Chaney, B., Chaney, D., Paige, S., & Alber, J. (2015). eHealth literacy and Web 2.0 health information seeking behaviors among baby boomers and older adults. Journal of medical Internet research, 17(3), e70. [Google Scholar]
  16. Branquinho, C., Paiva, T., Guedes, F., Gaspar, T., Tomé, G., & Gaspar de Matos, M. (2022). Health risk behaviors before and during COVID‐19 and gender differences. Journal of Community Psychology, 50(2), 1102-1110. [Google Scholar]
  17. Cai, H. (2020). Sex difference and smoking predisposition in patients with COVID-19. The Lancet Respiratory Medicine, 8(4), e20. [Google Scholar]
  18. Satre, D. D., Hirschtritt, M. E., Silverberg, M. J., & Sterling, S. A. (2020). Addressing problems with alcohol and other substances among older adults during the COVID-19 pandemic. The American Journal of Geriatric Psychiatry, 28(7), 780–783. [Google Scholar]
  19. Weerakoon, S. M., Jetelina, K. K., & Knell, G. (2020). Longer time spent at home during COVID-19 pandemic is associated with binge drinking among US adults. The American Journal of Drug and Alcohol Abuse, 47, 98–106. [Google Scholar]
  20. Liu, N., Zhang, F., Wei, C., Jia, Y., Shang, Z., Sun, L., Wu, L., Sun, Z., Zhou, Y., Wang, Y., & Liu, W. (2020). Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter. Psychiatry Research, 287, 112921. [CrossRef] [PubMed] [Google Scholar]
  21. Sinha, M., Pande, B., & Sinha, R. (2020). Impact of COVID-19 lockdown on sleep-wake schedule and associated lifestyle related behavior: A national survey. Journal of Public Health Research, 9(3), 239–245. [Google Scholar]
  22. Zajacova, A., & Lawrence, E. M. (2018). The relationship between education and health: reducing disparities through a contextual approach. Annual review of public health, 39, 273-289. [CrossRef] [Google Scholar]
  23. Johnson-Lawrence, V., Zajacova, A., & Sneed, R. (2017). Education, race/ethnicity, and multimorbidity among adults aged 30–64 in the National Health Interview Survey. SSM-population health, 3, 366-372. [CrossRef] [Google Scholar]
  24. Manning, W. G., Newhouse, J. P., Duan, N., Keeler, E. B., & Leibowitz, A. (1987). Health insurance and the demand for medical care: evidence from a randomized experiment. The American economic review, 251-277. [Google Scholar]
  25. Yu, D. (2015). Does Basic Medical Insurance for Urban Residents Raise Medical Service Utilization?——An Empirical Evaluation of System Running Effect. Journal of Finance and Economics. 30(5):117-128 [Google Scholar]
  26. Shen, M., He, W., & Li, L. (2020). Incentives to use primary care and their impact on healthcare utilization: evidence using a public health insurance dataset in China. Social Science & Medicine, 255, 112981. [Google Scholar]
  27. Glanz, K., Rimer, B. K., & Viswanath, K. (Eds.). (2015). Health behavior: Theory, research, and practice. John Wiley & Sons. [Google Scholar]
  28. Fielding, J. E. (2022). Health program planning, implementation, and evaluation: creating behavioral, environmental, and policy change. JHU Press. [Google Scholar]
  29. Koelen, M. A., & Van den Ban, A. W. (2004). Health education and health promotion. Wageningen Academic Publishers. [CrossRef] [Google Scholar]
  30. Green, L. W., & Kreuter, M. W. (1990). Health promotion as a public health strategy for the 1990s. Annual review of public health, 11(1), 319-334. [CrossRef] [Google Scholar]
  31. Winkleby, M. A. (1994). The future of community-based cardiovascular disease intervention studies. American Journal of Public Health, 84(9), 1369-1372. [CrossRef] [Google Scholar]
  32. Glanz, K., & Bishop, D. B. (2010). The role of behavioral science theory in development and implementation of public health interventions. Annual review of public health, 31, 399-418. [CrossRef] [Google Scholar]
  33. Wang, Y., Sun, X., & Yang, Y. (2019). China Blue Paper on Obesity Prevention and Control. Peking University Medical Press [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.