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Conference Paper: Structural equation models of oral health status of spouses

TitleStructural equation models of oral health status of spouses
Authors
KeywordsEpidemiology and Structural equation modeling
Issue Date2012
PublisherSage Publications, Inc. The Journal's web site is located at http://www.sagepub.com/journalsProdDesc.nav?prodId=Journal201925
Citation
The Annual Meeting of the International Association for Dental Research (IADR) Southeast Asian Division, Hong Kong, China, 3-4 November 2012. In Journal of Dental Research, 2012, v. 91 n. Special Issue C: abstract no. 169042 How to Cite?
AbstractObjectives: To construct structural equation models (SEMs) to investigate the influences of sociodemographic characters (SDC), smoking habit, oral health knowledge (OHK), oral health attitude (OHA) and oral health behaviours (OHB) on oral health status (OHS) of husbands and wives respectively. Methods: Home visits were made to the selected families. The husbands and wives were asked to complete a questionnaire separately regarding his/her own SDC, smoking habit, OHK, OHA and OHB. Clinical examinations were conducted by one calibrated examiner to assess the OHS of the spouses including oral hygiene, tooth, and periodontal status. SEMs were used to assess the influences of the above variables on OHS of husbands and wives respectively. Results: 432 families with 359 husbands and 419 wives participated. SEMs showed that in both the husband and wife models, better SDC leaded to better OHK (husband: γ=0.628; wife: γ=0.450, p<0.05) and lower level of daily smoking (husband: γ=-0.487; wife: γ=-0.317, p<0.05). Then, better OHK caused more positive OHA (husband: β=0.261; wife: β=0.327, p<0.05) and OHB (husband: β=-0.639; wife: β=-0.608, p<0.05). In the husband model, husbands with more positive OHB (β=0.500, p<0.05) and did not smoking everyday (β=0.255, p<0.05) had healthier OHS. Therefore, the husbands’ OHS was directly affected by OHB and smoking habit, and indirectly by SDC and OHK. In the wife model, wives’ OHS was only affected by OHB (β=0.600, p<0.05) but not smoking habit (β=0.094, p>0.05). Thus, the wives’ OHS was directly affected by OHB and indirectly by SDC and OHK. The explained variance of the husbands’ and wives’ OHS was 36.6% and 37.9% in the two models respectively. Conclusions: Results from this study suggest that husbands and wives have similar risk factors (except smoking habit) in affecting their oral health status. (Supported by a CRCG grant (project# 201007176156) from the University of Hong Kong)
DescriptionSession: Behavioral, Epidemiologic and Health Services Research
Persistent Identifierhttp://hdl.handle.net/10722/182074
ISSN
2015 Impact Factor: 4.602
2015 SCImago Journal Rankings: 1.714

 

DC FieldValueLanguage
dc.contributor.authorZhang, Yen_US
dc.contributor.authorWong, MCMen_US
dc.contributor.authorLo, ECMen_US
dc.date.accessioned2013-04-17T07:20:47Z-
dc.date.available2013-04-17T07:20:47Z-
dc.date.issued2012en_US
dc.identifier.citationThe Annual Meeting of the International Association for Dental Research (IADR) Southeast Asian Division, Hong Kong, China, 3-4 November 2012. In Journal of Dental Research, 2012, v. 91 n. Special Issue C: abstract no. 169042en_US
dc.identifier.issn0022-0345-
dc.identifier.urihttp://hdl.handle.net/10722/182074-
dc.descriptionSession: Behavioral, Epidemiologic and Health Services Research-
dc.description.abstractObjectives: To construct structural equation models (SEMs) to investigate the influences of sociodemographic characters (SDC), smoking habit, oral health knowledge (OHK), oral health attitude (OHA) and oral health behaviours (OHB) on oral health status (OHS) of husbands and wives respectively. Methods: Home visits were made to the selected families. The husbands and wives were asked to complete a questionnaire separately regarding his/her own SDC, smoking habit, OHK, OHA and OHB. Clinical examinations were conducted by one calibrated examiner to assess the OHS of the spouses including oral hygiene, tooth, and periodontal status. SEMs were used to assess the influences of the above variables on OHS of husbands and wives respectively. Results: 432 families with 359 husbands and 419 wives participated. SEMs showed that in both the husband and wife models, better SDC leaded to better OHK (husband: γ=0.628; wife: γ=0.450, p<0.05) and lower level of daily smoking (husband: γ=-0.487; wife: γ=-0.317, p<0.05). Then, better OHK caused more positive OHA (husband: β=0.261; wife: β=0.327, p<0.05) and OHB (husband: β=-0.639; wife: β=-0.608, p<0.05). In the husband model, husbands with more positive OHB (β=0.500, p<0.05) and did not smoking everyday (β=0.255, p<0.05) had healthier OHS. Therefore, the husbands’ OHS was directly affected by OHB and smoking habit, and indirectly by SDC and OHK. In the wife model, wives’ OHS was only affected by OHB (β=0.600, p<0.05) but not smoking habit (β=0.094, p>0.05). Thus, the wives’ OHS was directly affected by OHB and indirectly by SDC and OHK. The explained variance of the husbands’ and wives’ OHS was 36.6% and 37.9% in the two models respectively. Conclusions: Results from this study suggest that husbands and wives have similar risk factors (except smoking habit) in affecting their oral health status. (Supported by a CRCG grant (project# 201007176156) from the University of Hong Kong)-
dc.languageengen_US
dc.publisherSage Publications, Inc. The Journal's web site is located at http://www.sagepub.com/journalsProdDesc.nav?prodId=Journal201925-
dc.relation.ispartofJournal of Dental Researchen_US
dc.rightsJournal of Dental Research. Copyright © Sage Publications, Inc.-
dc.subjectEpidemiology and Structural equation modeling-
dc.titleStructural equation models of oral health status of spousesen_US
dc.typeConference_Paperen_US
dc.identifier.emailWong, MCM: mcmwong@hkucc.hku.hken_US
dc.identifier.emailLo, ECM: hrdplcm@hkucc.hku.hken_US
dc.identifier.authorityWong, MCM=rp00024en_US
dc.identifier.authorityLo, ECM=rp00015en_US
dc.identifier.hkuros213938en_US
dc.identifier.volume91en_US
dc.identifier.issueSpecial Issue C: abstract no. 169042en_US
dc.publisher.placeUnited States-

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