Loading…
Psychometric evaluation of the Chinese version of the Scale of Effects of Social Media on Eating Behaviour and research of its influencing factors
Social media has become an indispensable part of contemporary young people's lives, and the influence of social media on college students' eating and other health-related behaviors has become increasingly prominent. However, there is no assessment tool to determine the effects of social me...
Saved in:
Published in: | BMC public health 2024-02, Vol.24 (1), p.508-16, Article 508 |
---|---|
Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c459t-788a44a0acf0db508f121f0dc93285ef61c0912dd6672149618f15ae27a469333 |
container_end_page | 16 |
container_issue | 1 |
container_start_page | 508 |
container_title | BMC public health |
container_volume | 24 |
creator | Xu, Kaiyan Liang, Chunguang Zhao, Ying Zhang, Fan Zhang, Chunyan Zhang, Yanhong Zhang, Yefan Jiang, Zhaoquan |
description | Social media has become an indispensable part of contemporary young people's lives, and the influence of social media on college students' eating and other health-related behaviors has become increasingly prominent. However, there is no assessment tool to determine the effects of social media on Chinese college students' eating behavior. This study aims to translate the Scale of Effects of Social Media on Eating Behaviour (SESMEB) into Chinese. Its applicability to Chinese college students was examined through reliability and validity indexes, and the influencing factors of SESMEB were explored.
The questionnaire survey included 2374 Chinese college students. The Brislin translation model was used to translate the original scale into Chinese. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test the construct validity of the scale, and the content validity of the scale was assessed through the content validity index. The internal consistency of the scale was assessed by calculating Cronbach's alpha coefficient, McDonald's Omega coefficient, split-half reliability, and test-retest reliability. Multiple stepwise linear regression analysis was performed to identify potential influences on the effects of social media on eating behavior.
EFA supported the one-factor structure, and the factor loadings of each item on this dimension were higher than 0.40. CFA showed good model fitness indexes. The content validity index of the scale was 0.94. The Cronbach's alpha coefficient and McDonald's Omega coefficient for the scale were 0.964, the split-half reliability coefficient was 0.953, and the test-retest reliability was 0.849. Gender, education, major, frequency of social media use, online sexual objectification experiences, fear of negative evaluations, and physical appearance perfectionism explained 73.8% of the variance in the effects of social media on eating behavior.
The Chinese version of the SESMEB has good psychometric properties and is a valid measurement tool for assessing the effects of social media on college students' eating behavior. Subjects who were female, highly educated, non-medical, had frequent social media use, online sexual objectification experiences, fear of negative evaluations, and physical appearance perfectionism used social media to have a higher impact on eating behavior. |
doi_str_mv | 10.1186/s12889-024-17923-1 |
format | article |
fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_c43e1bf457bb4bb0961a49e7f8d9d5da</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A782886621</galeid><doaj_id>oai_doaj_org_article_c43e1bf457bb4bb0961a49e7f8d9d5da</doaj_id><sourcerecordid>A782886621</sourcerecordid><originalsourceid>FETCH-LOGICAL-c459t-788a44a0acf0db508f121f0dc93285ef61c0912dd6672149618f15ae27a469333</originalsourceid><addsrcrecordid>eNptks1u1DAUhSMEoqXwAixQJDbdpMQ_ie1lGU1LpSKQCmvrxr6eeJSJi52M1NfgiXE6pRSEvPD11XeO7OtTFG9JfUaIbD8kQqVUVU15RYSirCLPimPCBakob-TzJ_VR8SqlbV0TIRv6sjhikrWSUXFc_Pya7kwfdjhFb0rcwzDD5MNYBldOPZar3o-YsNxjTE_aNwYGXA5r59BMaSlvgvEwlJ_Reigzus5G46b8iD3sfZhjCaMtYzaDaPpF4LPOj26YcTQL6cBMIabXxQsHQ8I3D_tJ8f1i_W31qbr-cnm1Or-uDG_UVAkpgXOowbjadk0tHaEkl0YxKht0LTG1ItTathWUcNWSTDSAVABvFWPspLg6-NoAW30b_Q7inQ7g9X0jxI2GOHkzoDacIekcb0TX8a6rsxlwhcJJq2xjIXudHrxuY_gxY5r0zieDwwAjhjlpqqiknFFFMvr-H3SbhzPml2aqaWWzoH-oTR60zlMKUwSzmOpzIfO_ty1dvM7-Q-VlcedNGNH53P9LQA8CE0NKEd3ju0mtl1DpQ6h0DpW-D5VeRO8ebjx3O7SPkt8pYr8AbFDGKg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2956859282</pqid></control><display><type>article</type><title>Psychometric evaluation of the Chinese version of the Scale of Effects of Social Media on Eating Behaviour and research of its influencing factors</title><source>Publicly Available Content (ProQuest)</source><source>PubMed Central</source><creator>Xu, Kaiyan ; Liang, Chunguang ; Zhao, Ying ; Zhang, Fan ; Zhang, Chunyan ; Zhang, Yanhong ; Zhang, Yefan ; Jiang, Zhaoquan</creator><creatorcontrib>Xu, Kaiyan ; Liang, Chunguang ; Zhao, Ying ; Zhang, Fan ; Zhang, Chunyan ; Zhang, Yanhong ; Zhang, Yefan ; Jiang, Zhaoquan</creatorcontrib><description>Social media has become an indispensable part of contemporary young people's lives, and the influence of social media on college students' eating and other health-related behaviors has become increasingly prominent. However, there is no assessment tool to determine the effects of social media on Chinese college students' eating behavior. This study aims to translate the Scale of Effects of Social Media on Eating Behaviour (SESMEB) into Chinese. Its applicability to Chinese college students was examined through reliability and validity indexes, and the influencing factors of SESMEB were explored.
The questionnaire survey included 2374 Chinese college students. The Brislin translation model was used to translate the original scale into Chinese. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test the construct validity of the scale, and the content validity of the scale was assessed through the content validity index. The internal consistency of the scale was assessed by calculating Cronbach's alpha coefficient, McDonald's Omega coefficient, split-half reliability, and test-retest reliability. Multiple stepwise linear regression analysis was performed to identify potential influences on the effects of social media on eating behavior.
EFA supported the one-factor structure, and the factor loadings of each item on this dimension were higher than 0.40. CFA showed good model fitness indexes. The content validity index of the scale was 0.94. The Cronbach's alpha coefficient and McDonald's Omega coefficient for the scale were 0.964, the split-half reliability coefficient was 0.953, and the test-retest reliability was 0.849. Gender, education, major, frequency of social media use, online sexual objectification experiences, fear of negative evaluations, and physical appearance perfectionism explained 73.8% of the variance in the effects of social media on eating behavior.
The Chinese version of the SESMEB has good psychometric properties and is a valid measurement tool for assessing the effects of social media on college students' eating behavior. Subjects who were female, highly educated, non-medical, had frequent social media use, online sexual objectification experiences, fear of negative evaluations, and physical appearance perfectionism used social media to have a higher impact on eating behavior.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-024-17923-1</identifier><identifier>PMID: 38368327</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adolescent ; Analysis ; Body image ; Care and treatment ; Celebrities ; China ; Coefficients ; College students ; Colleges & universities ; Culture ; Diagnosis ; Digital media ; East Asian People ; Eating ; Eating behavior ; Eating disorders ; Evaluation ; Factor analysis ; Fear ; Feeding Behavior ; Female ; Health aspects ; Humans ; Influence ; Internet ; Male ; Mathematical analysis ; Nutrition ; Objectification ; Personal appearance ; Psychometric properties ; Psychometrics ; Psychometrics - methods ; Quantitative psychology ; Questionnaires ; Regression analysis ; Reliability ; Reproducibility of Results ; Risk factors ; Self image ; Social aspects ; Social behavior ; Social Media ; Social networks ; Students ; Surveys and Questionnaires ; Young adults</subject><ispartof>BMC public health, 2024-02, Vol.24 (1), p.508-16, Article 508</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c459t-788a44a0acf0db508f121f0dc93285ef61c0912dd6672149618f15ae27a469333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2956859282?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,37013,44590</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38368327$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Kaiyan</creatorcontrib><creatorcontrib>Liang, Chunguang</creatorcontrib><creatorcontrib>Zhao, Ying</creatorcontrib><creatorcontrib>Zhang, Fan</creatorcontrib><creatorcontrib>Zhang, Chunyan</creatorcontrib><creatorcontrib>Zhang, Yanhong</creatorcontrib><creatorcontrib>Zhang, Yefan</creatorcontrib><creatorcontrib>Jiang, Zhaoquan</creatorcontrib><title>Psychometric evaluation of the Chinese version of the Scale of Effects of Social Media on Eating Behaviour and research of its influencing factors</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Social media has become an indispensable part of contemporary young people's lives, and the influence of social media on college students' eating and other health-related behaviors has become increasingly prominent. However, there is no assessment tool to determine the effects of social media on Chinese college students' eating behavior. This study aims to translate the Scale of Effects of Social Media on Eating Behaviour (SESMEB) into Chinese. Its applicability to Chinese college students was examined through reliability and validity indexes, and the influencing factors of SESMEB were explored.
The questionnaire survey included 2374 Chinese college students. The Brislin translation model was used to translate the original scale into Chinese. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test the construct validity of the scale, and the content validity of the scale was assessed through the content validity index. The internal consistency of the scale was assessed by calculating Cronbach's alpha coefficient, McDonald's Omega coefficient, split-half reliability, and test-retest reliability. Multiple stepwise linear regression analysis was performed to identify potential influences on the effects of social media on eating behavior.
EFA supported the one-factor structure, and the factor loadings of each item on this dimension were higher than 0.40. CFA showed good model fitness indexes. The content validity index of the scale was 0.94. The Cronbach's alpha coefficient and McDonald's Omega coefficient for the scale were 0.964, the split-half reliability coefficient was 0.953, and the test-retest reliability was 0.849. Gender, education, major, frequency of social media use, online sexual objectification experiences, fear of negative evaluations, and physical appearance perfectionism explained 73.8% of the variance in the effects of social media on eating behavior.
The Chinese version of the SESMEB has good psychometric properties and is a valid measurement tool for assessing the effects of social media on college students' eating behavior. Subjects who were female, highly educated, non-medical, had frequent social media use, online sexual objectification experiences, fear of negative evaluations, and physical appearance perfectionism used social media to have a higher impact on eating behavior.</description><subject>Adolescent</subject><subject>Analysis</subject><subject>Body image</subject><subject>Care and treatment</subject><subject>Celebrities</subject><subject>China</subject><subject>Coefficients</subject><subject>College students</subject><subject>Colleges & universities</subject><subject>Culture</subject><subject>Diagnosis</subject><subject>Digital media</subject><subject>East Asian People</subject><subject>Eating</subject><subject>Eating behavior</subject><subject>Eating disorders</subject><subject>Evaluation</subject><subject>Factor analysis</subject><subject>Fear</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Influence</subject><subject>Internet</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>Nutrition</subject><subject>Objectification</subject><subject>Personal appearance</subject><subject>Psychometric properties</subject><subject>Psychometrics</subject><subject>Psychometrics - methods</subject><subject>Quantitative psychology</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Reliability</subject><subject>Reproducibility of Results</subject><subject>Risk factors</subject><subject>Self image</subject><subject>Social aspects</subject><subject>Social behavior</subject><subject>Social Media</subject><subject>Social networks</subject><subject>Students</subject><subject>Surveys and Questionnaires</subject><subject>Young adults</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptks1u1DAUhSMEoqXwAixQJDbdpMQ_ie1lGU1LpSKQCmvrxr6eeJSJi52M1NfgiXE6pRSEvPD11XeO7OtTFG9JfUaIbD8kQqVUVU15RYSirCLPimPCBakob-TzJ_VR8SqlbV0TIRv6sjhikrWSUXFc_Pya7kwfdjhFb0rcwzDD5MNYBldOPZar3o-YsNxjTE_aNwYGXA5r59BMaSlvgvEwlJ_Reigzus5G46b8iD3sfZhjCaMtYzaDaPpF4LPOj26YcTQL6cBMIabXxQsHQ8I3D_tJ8f1i_W31qbr-cnm1Or-uDG_UVAkpgXOowbjadk0tHaEkl0YxKht0LTG1ItTathWUcNWSTDSAVABvFWPspLg6-NoAW30b_Q7inQ7g9X0jxI2GOHkzoDacIekcb0TX8a6rsxlwhcJJq2xjIXudHrxuY_gxY5r0zieDwwAjhjlpqqiknFFFMvr-H3SbhzPml2aqaWWzoH-oTR60zlMKUwSzmOpzIfO_ty1dvM7-Q-VlcedNGNH53P9LQA8CE0NKEd3ju0mtl1DpQ6h0DpW-D5VeRO8ebjx3O7SPkt8pYr8AbFDGKg</recordid><startdate>20240217</startdate><enddate>20240217</enddate><creator>Xu, Kaiyan</creator><creator>Liang, Chunguang</creator><creator>Zhao, Ying</creator><creator>Zhang, Fan</creator><creator>Zhang, Chunyan</creator><creator>Zhang, Yanhong</creator><creator>Zhang, Yefan</creator><creator>Jiang, Zhaoquan</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20240217</creationdate><title>Psychometric evaluation of the Chinese version of the Scale of Effects of Social Media on Eating Behaviour and research of its influencing factors</title><author>Xu, Kaiyan ; Liang, Chunguang ; Zhao, Ying ; Zhang, Fan ; Zhang, Chunyan ; Zhang, Yanhong ; Zhang, Yefan ; Jiang, Zhaoquan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-788a44a0acf0db508f121f0dc93285ef61c0912dd6672149618f15ae27a469333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adolescent</topic><topic>Analysis</topic><topic>Body image</topic><topic>Care and treatment</topic><topic>Celebrities</topic><topic>China</topic><topic>Coefficients</topic><topic>College students</topic><topic>Colleges & universities</topic><topic>Culture</topic><topic>Diagnosis</topic><topic>Digital media</topic><topic>East Asian People</topic><topic>Eating</topic><topic>Eating behavior</topic><topic>Eating disorders</topic><topic>Evaluation</topic><topic>Factor analysis</topic><topic>Fear</topic><topic>Feeding Behavior</topic><topic>Female</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Influence</topic><topic>Internet</topic><topic>Male</topic><topic>Mathematical analysis</topic><topic>Nutrition</topic><topic>Objectification</topic><topic>Personal appearance</topic><topic>Psychometric properties</topic><topic>Psychometrics</topic><topic>Psychometrics - methods</topic><topic>Quantitative psychology</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Reliability</topic><topic>Reproducibility of Results</topic><topic>Risk factors</topic><topic>Self image</topic><topic>Social aspects</topic><topic>Social behavior</topic><topic>Social Media</topic><topic>Social networks</topic><topic>Students</topic><topic>Surveys and Questionnaires</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Kaiyan</creatorcontrib><creatorcontrib>Liang, Chunguang</creatorcontrib><creatorcontrib>Zhao, Ying</creatorcontrib><creatorcontrib>Zhang, Fan</creatorcontrib><creatorcontrib>Zhang, Chunyan</creatorcontrib><creatorcontrib>Zhang, Yanhong</creatorcontrib><creatorcontrib>Zhang, Yefan</creatorcontrib><creatorcontrib>Jiang, Zhaoquan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Kaiyan</au><au>Liang, Chunguang</au><au>Zhao, Ying</au><au>Zhang, Fan</au><au>Zhang, Chunyan</au><au>Zhang, Yanhong</au><au>Zhang, Yefan</au><au>Jiang, Zhaoquan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Psychometric evaluation of the Chinese version of the Scale of Effects of Social Media on Eating Behaviour and research of its influencing factors</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2024-02-17</date><risdate>2024</risdate><volume>24</volume><issue>1</issue><spage>508</spage><epage>16</epage><pages>508-16</pages><artnum>508</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Social media has become an indispensable part of contemporary young people's lives, and the influence of social media on college students' eating and other health-related behaviors has become increasingly prominent. However, there is no assessment tool to determine the effects of social media on Chinese college students' eating behavior. This study aims to translate the Scale of Effects of Social Media on Eating Behaviour (SESMEB) into Chinese. Its applicability to Chinese college students was examined through reliability and validity indexes, and the influencing factors of SESMEB were explored.
The questionnaire survey included 2374 Chinese college students. The Brislin translation model was used to translate the original scale into Chinese. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test the construct validity of the scale, and the content validity of the scale was assessed through the content validity index. The internal consistency of the scale was assessed by calculating Cronbach's alpha coefficient, McDonald's Omega coefficient, split-half reliability, and test-retest reliability. Multiple stepwise linear regression analysis was performed to identify potential influences on the effects of social media on eating behavior.
EFA supported the one-factor structure, and the factor loadings of each item on this dimension were higher than 0.40. CFA showed good model fitness indexes. The content validity index of the scale was 0.94. The Cronbach's alpha coefficient and McDonald's Omega coefficient for the scale were 0.964, the split-half reliability coefficient was 0.953, and the test-retest reliability was 0.849. Gender, education, major, frequency of social media use, online sexual objectification experiences, fear of negative evaluations, and physical appearance perfectionism explained 73.8% of the variance in the effects of social media on eating behavior.
The Chinese version of the SESMEB has good psychometric properties and is a valid measurement tool for assessing the effects of social media on college students' eating behavior. Subjects who were female, highly educated, non-medical, had frequent social media use, online sexual objectification experiences, fear of negative evaluations, and physical appearance perfectionism used social media to have a higher impact on eating behavior.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>38368327</pmid><doi>10.1186/s12889-024-17923-1</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1471-2458 |
ispartof | BMC public health, 2024-02, Vol.24 (1), p.508-16, Article 508 |
issn | 1471-2458 1471-2458 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_c43e1bf457bb4bb0961a49e7f8d9d5da |
source | Publicly Available Content (ProQuest); PubMed Central |
subjects | Adolescent Analysis Body image Care and treatment Celebrities China Coefficients College students Colleges & universities Culture Diagnosis Digital media East Asian People Eating Eating behavior Eating disorders Evaluation Factor analysis Fear Feeding Behavior Female Health aspects Humans Influence Internet Male Mathematical analysis Nutrition Objectification Personal appearance Psychometric properties Psychometrics Psychometrics - methods Quantitative psychology Questionnaires Regression analysis Reliability Reproducibility of Results Risk factors Self image Social aspects Social behavior Social Media Social networks Students Surveys and Questionnaires Young adults |
title | Psychometric evaluation of the Chinese version of the Scale of Effects of Social Media on Eating Behaviour and research of its influencing factors |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T19%3A13%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Psychometric%20evaluation%20of%20the%20Chinese%20version%20of%20the%20Scale%20of%20Effects%20of%20Social%20Media%20on%20Eating%20Behaviour%20and%20research%20of%20its%20influencing%20factors&rft.jtitle=BMC%20public%20health&rft.au=Xu,%20Kaiyan&rft.date=2024-02-17&rft.volume=24&rft.issue=1&rft.spage=508&rft.epage=16&rft.pages=508-16&rft.artnum=508&rft.issn=1471-2458&rft.eissn=1471-2458&rft_id=info:doi/10.1186/s12889-024-17923-1&rft_dat=%3Cgale_doaj_%3EA782886621%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c459t-788a44a0acf0db508f121f0dc93285ef61c0912dd6672149618f15ae27a469333%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2956859282&rft_id=info:pmid/38368327&rft_galeid=A782886621&rfr_iscdi=true |