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The impact of health education videos on general public’s mental health and behavior during COVID-19
BACKGROUND: COVID-19 has seriously affected people's mental health and changed their behaviors. Previous studies for mental state and behavior promotion only targeted limited people or were not suitable for daily activity restrictions. Therefore, we decided to explore the effect of health educa...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482355/ https://www.ncbi.nlm.nih.gov/pubmed/34593054 http://dx.doi.org/10.1186/s41256-021-00211-5 |
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author | Yang, Qian Wu, Zhihua Xie, Ying Xiao, Xiaohua Wu, Jinnan Sang, Tian Zhang, Kejun Song, Haidong Wu, Xifeng Xu, Xin |
author_facet | Yang, Qian Wu, Zhihua Xie, Ying Xiao, Xiaohua Wu, Jinnan Sang, Tian Zhang, Kejun Song, Haidong Wu, Xifeng Xu, Xin |
author_sort | Yang, Qian |
collection | PubMed |
description | BACKGROUND: COVID-19 has seriously affected people's mental health and changed their behaviors. Previous studies for mental state and behavior promotion only targeted limited people or were not suitable for daily activity restrictions. Therefore, we decided to explore the effect of health education videos on people’s mental state and health-related behaviors. METHODS: Based on WeChat, QQ, and other social media, we conducted an online survey by snowball sampling. Spearman’s non-parametric method was used to analyze the correlation related to mental health problems and health-related behaviors. Besides, we used binary logistic regression analyses to examine mental health problems and health-related behaviors' predictors. We performed SPSS macro PROCESS (model 4 and model 6) to analyze mediation relationships between exposure to health education videos and depression/anxiety/health-related behaviors. These models were regarded as exploratory. RESULTS: Binary logistic regression analyses indicated that people who watched the health education videos were more likely to wear masks (OR 1.15, p < 0.001), disinfect (OR 1.26, p < 0.001), and take temperature (OR 1.37, p < 0.001). With higher level of posttraumatic growth (PTG) or perceived social support (PSS), people had lower percentage of depression (For PSS, OR 0.98, p < 0.001; For PTG, OR 0.98, p < 0.01) and anxiety (For PSS, OR 0.98, p < 0.001; For PTG, OR 0.98, p = 0.01) and better health behaviors. The serial multiple-mediation model supported the positive indirect effects of exposure to health education videos on the depression and three health-related behaviors through PSS and PTG (Depression: B[SE] = − 0.0046 [0.0021], 95% CI − 0.0098, − 0.0012; Mask-wearing: B[SE] = 0.0051 [0.0023], 95% CI 0.0015, 0.0010; Disinfection: B[SE] = 0.0059 [0.0024], 95% CI 0.0024, 0.0012; Temperature-taking: B[SE] = 0.0067 [0.0026], 95% CI 0.0023, 0.0013). CONCLUSION: Exposure to health education videos can improve people's self-perceived social support and inner growth and help them cope with the adverse impact of public health emergencies with better mental health and health-related behaviors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41256-021-00211-5. |
format | Online Article Text |
id | pubmed-8482355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84823552021-09-30 The impact of health education videos on general public’s mental health and behavior during COVID-19 Yang, Qian Wu, Zhihua Xie, Ying Xiao, Xiaohua Wu, Jinnan Sang, Tian Zhang, Kejun Song, Haidong Wu, Xifeng Xu, Xin Glob Health Res Policy Research BACKGROUND: COVID-19 has seriously affected people's mental health and changed their behaviors. Previous studies for mental state and behavior promotion only targeted limited people or were not suitable for daily activity restrictions. Therefore, we decided to explore the effect of health education videos on people’s mental state and health-related behaviors. METHODS: Based on WeChat, QQ, and other social media, we conducted an online survey by snowball sampling. Spearman’s non-parametric method was used to analyze the correlation related to mental health problems and health-related behaviors. Besides, we used binary logistic regression analyses to examine mental health problems and health-related behaviors' predictors. We performed SPSS macro PROCESS (model 4 and model 6) to analyze mediation relationships between exposure to health education videos and depression/anxiety/health-related behaviors. These models were regarded as exploratory. RESULTS: Binary logistic regression analyses indicated that people who watched the health education videos were more likely to wear masks (OR 1.15, p < 0.001), disinfect (OR 1.26, p < 0.001), and take temperature (OR 1.37, p < 0.001). With higher level of posttraumatic growth (PTG) or perceived social support (PSS), people had lower percentage of depression (For PSS, OR 0.98, p < 0.001; For PTG, OR 0.98, p < 0.01) and anxiety (For PSS, OR 0.98, p < 0.001; For PTG, OR 0.98, p = 0.01) and better health behaviors. The serial multiple-mediation model supported the positive indirect effects of exposure to health education videos on the depression and three health-related behaviors through PSS and PTG (Depression: B[SE] = − 0.0046 [0.0021], 95% CI − 0.0098, − 0.0012; Mask-wearing: B[SE] = 0.0051 [0.0023], 95% CI 0.0015, 0.0010; Disinfection: B[SE] = 0.0059 [0.0024], 95% CI 0.0024, 0.0012; Temperature-taking: B[SE] = 0.0067 [0.0026], 95% CI 0.0023, 0.0013). CONCLUSION: Exposure to health education videos can improve people's self-perceived social support and inner growth and help them cope with the adverse impact of public health emergencies with better mental health and health-related behaviors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41256-021-00211-5. BioMed Central 2021-09-30 /pmc/articles/PMC8482355/ /pubmed/34593054 http://dx.doi.org/10.1186/s41256-021-00211-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Yang, Qian Wu, Zhihua Xie, Ying Xiao, Xiaohua Wu, Jinnan Sang, Tian Zhang, Kejun Song, Haidong Wu, Xifeng Xu, Xin The impact of health education videos on general public’s mental health and behavior during COVID-19 |
title | The impact of health education videos on general public’s mental health and behavior during COVID-19 |
title_full | The impact of health education videos on general public’s mental health and behavior during COVID-19 |
title_fullStr | The impact of health education videos on general public’s mental health and behavior during COVID-19 |
title_full_unstemmed | The impact of health education videos on general public’s mental health and behavior during COVID-19 |
title_short | The impact of health education videos on general public’s mental health and behavior during COVID-19 |
title_sort | impact of health education videos on general public’s mental health and behavior during covid-19 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482355/ https://www.ncbi.nlm.nih.gov/pubmed/34593054 http://dx.doi.org/10.1186/s41256-021-00211-5 |
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