Results of binary logistic regression analyses to examine differences in proportion of participants who could not identify each myth as false, among demographic groups.
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posted on 2024-03-05, 18:26 authored by May Oo Lwin, Anita Sheldenkar, Pei Ling TngResults of binary logistic regression analyses to examine differences in proportion of participants who could not identify each myth as false, among demographic groups.
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using randomised samplingnationally representative sampleslower education levelscurrent debunking effortsalthough several studiesmalays ), femalesmyths persisted significantlyidentify various mythsvulnerable population subpopulation demographic differencesdiv >< ptwo online surveysexamined health myths19 pandemic withinhealth mythsexamined changes949 ),many mythshealth crisesgeneral populationyear periodresults showedp online falsehoodsoctober 2020myth beliefsmulticultural settingmulticultural hublittle researchliterature gapsleft unaddressedinternet useincreases rangingharmful behavioursfindings suggestfebruary 2021ethnic minoritieserroneous beliefseastern perspectiveculturally exposedcounterparts (<capturing trendsasian influencesapril 2022also focus8 %).19 pandemic19 landscape1084 ).05 ).
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