{"title":"[2012 - 2023年中国居民健康素养水平趋势及预测]。","authors":"S J Li, Y Hu, L B Ren, Y L Jiang, Y F Wu, Y Yao","doi":"10.3760/cma.j.cn112150-20240617-00479","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> To analyze the trend of the health literacy level of Chinese residents from 2012 to 2023 and predict the health literacy level from 2024 to 2027. <b>Methods:</b> The study collected data on the health literacy surveillance of Chinese residents from 2012 to 2023. The Joinpoint regression model was used to calculate the average annual percent change (AAPC) and analyze the trend. The interrupted time series analysis with Prais-Winsten transformed generalized least squares estimation was employed to investigate the impact of the\"Healthy China 2030\" policy on residents' health literacy levels. Joinpoint regression, autoregressive integrated moving average model and grey forecasting models were established to select the optimal model for forecasting health literacy levels from 2024 to 2027. <b>Results:</b> The results showed that the health literacy level of Chinese residents increased from 8.80% in 2012 to 29.70% in 2023 (AAPC=11.65%, <i>P</i><0.05). The health literacy level of urban and rural residents increased from 11.79% and 7.13% in 2012 to 33.25% and 26.23% in 2023, respectively (AAPC=9.57% and 12.60%, both <i>P</i><0.05). Rural (1.59% per year) saw a lower average annual increase than urban (1.79% per year), widening the urban-rural health literacy gap. All aspects of health literacy, including basic knowledge and concepts, healthy lifestyles and behaviors, and health skills, showed an upward trend. The literacy level of six health issues-safety and first aid, scientific health views, health information, infectious disease prevention, chronic disease prevention, and basic medical care-also exhibited rising trends. Interrupted time series analysis indicated a significant further increase in the health literacy level of Chinese residents after the implementation of the \"Healthy China 2030\" policy, with the growth rate increasing from 0.615% per year before implementation to 2.655% per year afterwards. The Joinpoint regression model showed superior predictive performance compared to autoregressive integrated moving average model and grey forecasting models. The prediction results suggested a continued upward trend in the health literacy level from 2024 to 2027, reaching 32.68%, 35.62%, 38.84%, and 42.34%, respectively. <b>Conclusion:</b> From 2012 to 2023, the overall and various aspects of health literacy among Chinese residents show a continuous upward trend. This study predicts that the level of residents' health literacy will continue to rise by 2027.</p>","PeriodicalId":24033,"journal":{"name":"中华预防医学杂志","volume":"59 1","pages":"8-15"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[The trend and prediction of health literacy level of Chinese residents from 2012 to 2023].\",\"authors\":\"S J Li, Y Hu, L B Ren, Y L Jiang, Y F Wu, Y Yao\",\"doi\":\"10.3760/cma.j.cn112150-20240617-00479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objective:</b> To analyze the trend of the health literacy level of Chinese residents from 2012 to 2023 and predict the health literacy level from 2024 to 2027. <b>Methods:</b> The study collected data on the health literacy surveillance of Chinese residents from 2012 to 2023. The Joinpoint regression model was used to calculate the average annual percent change (AAPC) and analyze the trend. The interrupted time series analysis with Prais-Winsten transformed generalized least squares estimation was employed to investigate the impact of the\\\"Healthy China 2030\\\" policy on residents' health literacy levels. Joinpoint regression, autoregressive integrated moving average model and grey forecasting models were established to select the optimal model for forecasting health literacy levels from 2024 to 2027. <b>Results:</b> The results showed that the health literacy level of Chinese residents increased from 8.80% in 2012 to 29.70% in 2023 (AAPC=11.65%, <i>P</i><0.05). The health literacy level of urban and rural residents increased from 11.79% and 7.13% in 2012 to 33.25% and 26.23% in 2023, respectively (AAPC=9.57% and 12.60%, both <i>P</i><0.05). Rural (1.59% per year) saw a lower average annual increase than urban (1.79% per year), widening the urban-rural health literacy gap. All aspects of health literacy, including basic knowledge and concepts, healthy lifestyles and behaviors, and health skills, showed an upward trend. The literacy level of six health issues-safety and first aid, scientific health views, health information, infectious disease prevention, chronic disease prevention, and basic medical care-also exhibited rising trends. Interrupted time series analysis indicated a significant further increase in the health literacy level of Chinese residents after the implementation of the \\\"Healthy China 2030\\\" policy, with the growth rate increasing from 0.615% per year before implementation to 2.655% per year afterwards. The Joinpoint regression model showed superior predictive performance compared to autoregressive integrated moving average model and grey forecasting models. The prediction results suggested a continued upward trend in the health literacy level from 2024 to 2027, reaching 32.68%, 35.62%, 38.84%, and 42.34%, respectively. <b>Conclusion:</b> From 2012 to 2023, the overall and various aspects of health literacy among Chinese residents show a continuous upward trend. This study predicts that the level of residents' health literacy will continue to rise by 2027.</p>\",\"PeriodicalId\":24033,\"journal\":{\"name\":\"中华预防医学杂志\",\"volume\":\"59 1\",\"pages\":\"8-15\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中华预防医学杂志\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3760/cma.j.cn112150-20240617-00479\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华预防医学杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn112150-20240617-00479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
[The trend and prediction of health literacy level of Chinese residents from 2012 to 2023].
Objective: To analyze the trend of the health literacy level of Chinese residents from 2012 to 2023 and predict the health literacy level from 2024 to 2027. Methods: The study collected data on the health literacy surveillance of Chinese residents from 2012 to 2023. The Joinpoint regression model was used to calculate the average annual percent change (AAPC) and analyze the trend. The interrupted time series analysis with Prais-Winsten transformed generalized least squares estimation was employed to investigate the impact of the"Healthy China 2030" policy on residents' health literacy levels. Joinpoint regression, autoregressive integrated moving average model and grey forecasting models were established to select the optimal model for forecasting health literacy levels from 2024 to 2027. Results: The results showed that the health literacy level of Chinese residents increased from 8.80% in 2012 to 29.70% in 2023 (AAPC=11.65%, P<0.05). The health literacy level of urban and rural residents increased from 11.79% and 7.13% in 2012 to 33.25% and 26.23% in 2023, respectively (AAPC=9.57% and 12.60%, both P<0.05). Rural (1.59% per year) saw a lower average annual increase than urban (1.79% per year), widening the urban-rural health literacy gap. All aspects of health literacy, including basic knowledge and concepts, healthy lifestyles and behaviors, and health skills, showed an upward trend. The literacy level of six health issues-safety and first aid, scientific health views, health information, infectious disease prevention, chronic disease prevention, and basic medical care-also exhibited rising trends. Interrupted time series analysis indicated a significant further increase in the health literacy level of Chinese residents after the implementation of the "Healthy China 2030" policy, with the growth rate increasing from 0.615% per year before implementation to 2.655% per year afterwards. The Joinpoint regression model showed superior predictive performance compared to autoregressive integrated moving average model and grey forecasting models. The prediction results suggested a continued upward trend in the health literacy level from 2024 to 2027, reaching 32.68%, 35.62%, 38.84%, and 42.34%, respectively. Conclusion: From 2012 to 2023, the overall and various aspects of health literacy among Chinese residents show a continuous upward trend. This study predicts that the level of residents' health literacy will continue to rise by 2027.
期刊介绍:
Chinese Journal of Preventive Medicine (CJPM), the successor to Chinese Health Journal , was initiated on October 1, 1953. In 1960, it was amalgamated with the Chinese Medical Journal and the Journal of Medical History and Health Care , and thereafter, was renamed as People’s Care . On November 25, 1978, the publication was denominated as Chinese Journal of Preventive Medicine . The contents of CJPM deal with a wide range of disciplines and technologies including epidemiology, environmental health, nutrition and food hygiene, occupational health, hygiene for children and adolescents, radiological health, toxicology, biostatistics, social medicine, pathogenic and epidemiological research in malignant tumor, surveillance and immunization.