Publication:
Protection motivation theory to predict intention of healthy eating and sufficient physical activity to prevent Diabetes Mellitus in Thai population: A path analysis

dc.contributor.authorKanittha Chamroonsawasdien_US
dc.contributor.authorSuthat Chottanapunden_US
dc.contributor.authorRian Adi Pamungkasen_US
dc.contributor.authorPravich Tunyasitthisundhornen_US
dc.contributor.authorBundit Sornpaisarnen_US
dc.contributor.authorOranuch Numpaisanen_US
dc.contributor.otherThai Red Cross Agencyen_US
dc.contributor.otherBamrasnaradura Infectious Disease Instituteen_US
dc.contributor.otherUniversity of Torontoen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherMedical Research Network of the Consortium of Thai Medical Schoolsen_US
dc.contributor.otherEsa Unggul Universityen_US
dc.date.accessioned2022-08-04T11:13:01Z
dc.date.available2022-08-04T11:13:01Z
dc.date.issued2021-01-01en_US
dc.description.abstractBackground and aims: Diabetes mellitus is a global health problem causing premature death and economic burden. The study aimed to investigate an application of the protection motivation theory (PMT) model to explain the intention of healthy eating behaviors and physical activity among healthy Thais. Methods: This study was a part of a large case control focused only on the control group without noncommunicable diseases. Nine hundred ninety-seven subjects were drawn from eleven provinces of Thailand. A self-administered questionnaire was constructed based on the PMT model to gather information on predictive factors on eating behaviors and physical activity. Path analysis was used to determine whether the empirical data fit the PMT structure as well as to assess the strength of association among PMT constructed factors predicting behavioral intention. Results: The findings demonstrated that empirical data of eating behaviors (CMIN χ2 p-value = 0.462; CMIN/df = 0.901; NFI = 0.997; CFI = 1; RMSEA <0.001) and physical activity (CMIN χ2 p-value = 0.053; CMIN/df = 2.187; NFI = 0.987; CFI = 0.993; RMSEA = 0.035) fit the PMT. The strongest predictive factor of behavioral intention on eating behaviors was response efficacy (β = 0.146), while self-efficacy was found to be the strongest factor for physical activity (β = 0.11). Knowledge had the only indirect effect on behavior intention through perceived susceptibility and perceived severity. Conclusion: In conclusion, information on susceptibility and severity should be incorporated in intervention strategies to enhance response efficacy and self-efficacy to prevent diabetes.en_US
dc.identifier.citationDiabetes and Metabolic Syndrome: Clinical Research and Reviews. Vol.15, No.1 (2021), 121-127en_US
dc.identifier.doi10.1016/j.dsx.2020.12.017en_US
dc.identifier.issn18780334en_US
dc.identifier.issn18714021en_US
dc.identifier.other2-s2.0-85097915170en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/78870
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097915170&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleProtection motivation theory to predict intention of healthy eating and sufficient physical activity to prevent Diabetes Mellitus in Thai population: A path analysisen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097915170&origin=inwarden_US

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