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10.2196/25600 http://scihub22266oqcxt.onion/10.2196/25600 33822734!8104003!33822734     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 278.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 278.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Med+Internet+Res 2021 ; 23 (5): e25600 Nephropedia Template TP {{tp|p=33822734|t=2021. Associations Between Health Literacy, eHealth Literacy, and COVID-19-Related Health Behaviors Among Chinese College Students: Cross-sectional Online Study |pdf=|usr=}}{{33822734}} gab.com Text Associations Between Health Literacy, eHealth Literacy, and COVID-19-Related Health Behaviors Among Chinese College Students: Cross-sectional Online Study JO: J Med Internet Res http://www.kidney.de/pget.php?&tw=1&pmid=33822734 #FOAvip BACKGROUND: During the COVID-19 pandemic, the internet has significantly spread information, providing people with knowledge and advice about health protection regarding COVID-19. While a previous study demonstrated that health and eHealth literacy are related to COVID-19 prevention behaviors, few studies have focused on the relationship between health literacy, eHealth literacy, and COVID-19-related health behaviors. The latter includes not only preventative behaviors but also conventional health behaviors. OBJECTIVE: The objective of this study was to develop and verify a COVID-19-related health behavior questionnaire, explore its status and structure, and examine the associations between these behaviors and participants' health literacy and eHealth literacy. METHODS: A snowball sampling method was adopted to recruit participants to complete anonymous cross-sectional questionnaire surveys online that assessed sociodemographic information, self-reported coronavirus knowledge, health literacy, eHealth literacy, and COVID-19-related health behaviors. RESULTS: Of 1873 college students who were recruited, 781 (41.7%) had adequate health literacy; the mean eHealth literacy score was 30.16 (SD 6.31). The COVID-19-related health behavior questionnaire presented a two-factor structure-COVID-19-specific precautionary behaviors and conventional health behaviors-with satisfactory fit indices and internal consistency (Cronbach alpha=.79). The mean score of COVID-19-related health behaviors was 53.77 (SD 8.03), and scores differed significantly (P<.05) with respect to residence, college year, academic major, family economic level, self-reported health status, having a family member or friend infected with coronavirus, and health literacy level. Linear regression analysis showed that health literacy and eHealth literacy were positively associated with COVID-19-specific precautionary behaviors (beta(health literacy)=.149, beta(eHealth literacy)=.368; P<.001) and conventional health behaviors (beta(health literacy)=.219, beta(eHealth literacy)=.277; P<.001). CONCLUSIONS: The COVID-19-related health behavior questionnaire was a valid and reliable measure for assessing health behaviors during the pandemic. College students with higher health literacy and eHealth literacy can more actively adopt COVID-19-related health behaviors. Additionally, compared to health literacy, eHealth literacy is more closely related to COVID-19-related health behaviors. Public intervention measures based on health and eHealth literacy are required to promote COVID-19-related health behaviors during the pandemic, which may be helpful to reduce the risk of COVID-19 infection among college students. Twit Text FOAVip Associations Between Health Literacy, eHealth Literacy, and COVID-19-Related Health Behaviors Among Chinese College Students: Cross-sectional Online Study ????J Med Internet Res http://www.kidney.de/pget.php?&tw=1&pmid=33822734 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33822734 #FOAvip English Wikipedia <ref>{{Cite pmid|33822734}}</ref> Associations Between Health Literacy, eHealth Literacy, and COVID-19-Related Health Behaviors Among Chinese College Students: Cross-sectional Online Study #MMPMID33822734 Li S; Cui G; Kaminga AC; Cheng S; Xu H J Med Internet Res 2021[May]; 23 (5): e25600 PMID33822734show ga BACKGROUND: During the COVID-19 pandemic, the internet has significantly spread information, providing people with knowledge and advice about health protection regarding COVID-19. While a previous study demonstrated that health and eHealth literacy are related to COVID-19 prevention behaviors, few studies have focused on the relationship between health literacy, eHealth literacy, and COVID-19-related health behaviors. The latter includes not only preventative behaviors but also conventional health behaviors. OBJECTIVE: The objective of this study was to develop and verify a COVID-19-related health behavior questionnaire, explore its status and structure, and examine the associations between these behaviors and participants' health literacy and eHealth literacy. METHODS: A snowball sampling method was adopted to recruit participants to complete anonymous cross-sectional questionnaire surveys online that assessed sociodemographic information, self-reported coronavirus knowledge, health literacy, eHealth literacy, and COVID-19-related health behaviors. RESULTS: Of 1873 college students who were recruited, 781 (41.7%) had adequate health literacy; the mean eHealth literacy score was 30.16 (SD 6.31). The COVID-19-related health behavior questionnaire presented a two-factor structure-COVID-19-specific precautionary behaviors and conventional health behaviors-with satisfactory fit indices and internal consistency (Cronbach alpha=.79). The mean score of COVID-19-related health behaviors was 53.77 (SD 8.03), and scores differed significantly (P<.05) with respect to residence, college year, academic major, family economic level, self-reported health status, having a family member or friend infected with coronavirus, and health literacy level. Linear regression analysis showed that health literacy and eHealth literacy were positively associated with COVID-19-specific precautionary behaviors (beta(health literacy)=.149, beta(eHealth literacy)=.368; P<.001) and conventional health behaviors (beta(health literacy)=.219, beta(eHealth literacy)=.277; P<.001). CONCLUSIONS: The COVID-19-related health behavior questionnaire was a valid and reliable measure for assessing health behaviors during the pandemic. College students with higher health literacy and eHealth literacy can more actively adopt COVID-19-related health behaviors. Additionally, compared to health literacy, eHealth literacy is more closely related to COVID-19-related health behaviors. Public intervention measures based on health and eHealth literacy are required to promote COVID-19-related health behaviors during the pandemic, which may be helpful to reduce the risk of COVID-19 infection among college students. |*Health Behavior[MESH] |*Health Knowledge, Attitudes, Practice[MESH] |Adolescent[MESH] |Adult[MESH] |Asian People/statistics & numerical data[MESH] |COVID-19/*epidemiology/prevention & control[MESH] |China/epidemiology[MESH] |Cross-Sectional Studies[MESH] |Health Literacy/*statistics & numerical data[MESH] |Humans[MESH] |Internet[MESH] |Male[MESH] |Pandemics[MESH] |SARS-CoV-2/isolation & purification[MESH] |Social Factors[MESH] |Students[MESH] |Surveys and Questionnaires[MESH] |Telemedicine/*methods[MESH] |Universities[MESH]Associations Between Health Literacy, eHealth Literacy, and COVID-19-R(epmc).pdf DeepDyve Pubget Overpricing