Health Information Needs of Young Chinese People Based on an Online Health Community: Topic and Statistical Analysis

BackgroundThe internet has been widely accessible and well accepted by young people; however, there is a limited understanding of the internet usage patterns and characteristics on issues related to health problems. The contents posted on online health communities (OHCs) are...

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Main Authors: Jie Wang, Xin Wang, Lei Wang, Yan Peng
Format: Article
Language:English
Published: JMIR Publications 2021-11-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2021/11/e30356
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author Jie Wang
Xin Wang
Lei Wang
Yan Peng
author_facet Jie Wang
Xin Wang
Lei Wang
Yan Peng
author_sort Jie Wang
collection DOAJ
description BackgroundThe internet has been widely accessible and well accepted by young people; however, there is a limited understanding of the internet usage patterns and characteristics on issues related to health problems. The contents posted on online health communities (OHCs) are valuable resources to learn about youth's health information needs. ObjectiveIn this study, we concurrently exploited statistical analysis and topic analysis of online health information needs to explore the distribution, impact factors, and topics of interest relevant to Chinese young people. MethodsWe collected 60,478 health-related data sets posted by young people from a well-known Chinese OHC named xywy.com. Descriptive statistical analysis and correlation analysis were applied to find the distribution and influence factors of the information needs of Chinese young people. Furthermore, a general 4-step topic mining strategy was presented for sparse short texts, which included sentence vectorization, dimension reduction, clustering, and keyword generation. ResultsIn the Chinese OHC, Chinese young people had a high demand for information in the areas of gynecology and obstetrics, internal medicine, dermatology, plastic surgery, and surgery, and they focused on topics such as treatment, symptoms, causes, pathology, and diet. Females accounted for 69.67% (42,136/60,478) and young adults accounted for 87.44% (52,882/60,478) of all data. Gender, age, and disease type all had a significant effect on young people's information needs and topic preferences (P<.001). ConclusionsWe conducted comprehensive analyses to discover the online health information needs of Chinese young people. The research findings are of great practical value to carry out health education and health knowledge dissemination inside and outside of schools according to the interests of youth, enable the innovation of information services in OHCs, and improve the health literacy of young people.
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spelling doaj.art-ab6f6d0925944be19771c3ed3a5abb572023-08-28T19:44:06ZengJMIR PublicationsJMIR Medical Informatics2291-96942021-11-01911e3035610.2196/30356Health Information Needs of Young Chinese People Based on an Online Health Community: Topic and Statistical AnalysisJie Wanghttps://orcid.org/0000-0002-1262-6719Xin Wanghttps://orcid.org/0000-0001-8639-3818Lei Wanghttps://orcid.org/0000-0002-6538-0193Yan Penghttps://orcid.org/0000-0001-5003-6923 BackgroundThe internet has been widely accessible and well accepted by young people; however, there is a limited understanding of the internet usage patterns and characteristics on issues related to health problems. The contents posted on online health communities (OHCs) are valuable resources to learn about youth's health information needs. ObjectiveIn this study, we concurrently exploited statistical analysis and topic analysis of online health information needs to explore the distribution, impact factors, and topics of interest relevant to Chinese young people. MethodsWe collected 60,478 health-related data sets posted by young people from a well-known Chinese OHC named xywy.com. Descriptive statistical analysis and correlation analysis were applied to find the distribution and influence factors of the information needs of Chinese young people. Furthermore, a general 4-step topic mining strategy was presented for sparse short texts, which included sentence vectorization, dimension reduction, clustering, and keyword generation. ResultsIn the Chinese OHC, Chinese young people had a high demand for information in the areas of gynecology and obstetrics, internal medicine, dermatology, plastic surgery, and surgery, and they focused on topics such as treatment, symptoms, causes, pathology, and diet. Females accounted for 69.67% (42,136/60,478) and young adults accounted for 87.44% (52,882/60,478) of all data. Gender, age, and disease type all had a significant effect on young people's information needs and topic preferences (P<.001). ConclusionsWe conducted comprehensive analyses to discover the online health information needs of Chinese young people. The research findings are of great practical value to carry out health education and health knowledge dissemination inside and outside of schools according to the interests of youth, enable the innovation of information services in OHCs, and improve the health literacy of young people.https://medinform.jmir.org/2021/11/e30356
spellingShingle Jie Wang
Xin Wang
Lei Wang
Yan Peng
Health Information Needs of Young Chinese People Based on an Online Health Community: Topic and Statistical Analysis
JMIR Medical Informatics
title Health Information Needs of Young Chinese People Based on an Online Health Community: Topic and Statistical Analysis
title_full Health Information Needs of Young Chinese People Based on an Online Health Community: Topic and Statistical Analysis
title_fullStr Health Information Needs of Young Chinese People Based on an Online Health Community: Topic and Statistical Analysis
title_full_unstemmed Health Information Needs of Young Chinese People Based on an Online Health Community: Topic and Statistical Analysis
title_short Health Information Needs of Young Chinese People Based on an Online Health Community: Topic and Statistical Analysis
title_sort health information needs of young chinese people based on an online health community topic and statistical analysis
url https://medinform.jmir.org/2021/11/e30356
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