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1.
BMC Oral Health ; 19(1): 93, 2019 05 28.
Article in English | MEDLINE | ID: mdl-31138198

ABSTRACT

BACKGROUND: Self-perceived health is an essential measure of health status and even a paramount predictor of mortality. So long as it is said that oral health (OH) and general health (GH) are mirrors to each other. This study sought to determine how Yemeni adults rate their OH and GH, whether such a self-rating influenced by some potential risk factors, and whether both ratings (OH and GH) are correlated. METHODS: A sample of 587 Yemeni dental patients aged 20 years and over were consecutively recruited. A structured interview form was used covering the following variables: age, gender, marital status, educational level, presence of dental prosthesis (DP), smoking and Qat chewing habits as independent variables, along with questions on "perceived oral health (POH)" and "perceived general health (PGH)" as dependent variables. The bivariate and multiple ordinal regression analyses were applied at P-value < 0.05. RESULTS: Most of participants were women (73.6%), and married (71.4%), and more than half of them were young adults (58.2%), with high educational levels (53.3%), and not having DP. Only 310 participants responded to the questions on smoking and Qat chewing habits. Of these, 88.5% were non-smokers and 62.1% were Qat non-chewers. Up to 50% of the participants reported their POH as poor or fair, while lower proportions of participants (17%) reported their PGH as such. Younger age (compared to elders), high education levels (compared to primary education) and being single (compared to married) significantly revealed better levels of POH, while high education levels and being females significantly revealed better levels of PGH. Smoking and Qat chewing habits were found to have no effect on the perception of POH or PGH. POH and PGH were found to be significantly correlated (r = 0.486; P < 0.001). CONCLUSION: Higher levels of oral health problems can be anticipated among patients who perceive poor general health, and vice versa. The age, marital status and education were independent determinants of POH, while the gender and education were independent determinants of PGH.


Subject(s)
Health Status , Oral Health , Adult , Aged , Educational Status , Female , Humans , Mastication , Risk Factors , Smoking , Yemen , Young Adult
2.
Health Qual Life Outcomes ; 16(1): 218, 2018 Nov 20.
Article in English | MEDLINE | ID: mdl-30453965

ABSTRACT

PURPOSE: The aim of this study was to translate and validate an Arabic version of the 5-item Oral Health Impact Profile (OHIP). METHODS: A total of 320 subjects (aged 18 years and above) were consecutively recruited from dental clinics. The self-administered OHIP5-Ar was distributed and the data were collected and analyzed. The dimensionality of the instrument was investigated using confirmatory factor analyses (CFA). Reliability was assessed as the instruments internal consistency using Cronbach's alpha and test-retest-reliability using intraclass correlation coefficient (ICC). Convergent validity was tested by correlation between perceived global oral and general health questions with the latent factor (OHRQoL) using structural equation modelling analysis and with OHIP5-Ar total score using spearman's correlation coefficient. Known-groups validity was tested among groups with known differences and sensitivity to change was also investigated after dental treatments. RESULTS: The OHIP5-Ar was fitted well in the unidimensional model as indicated by the CFA with fit indices (RMSEA: 0.00, SRMR: 0.010, GFI: 0.998, TLI: 1). Cronbach's alpha was 0.78 and the ICC agreement was 0.88. The validity tests indicated satisfactory validity of the instrument and the sensitivity to change of the instrument revealed significant change in the OHIP5-Ar total score after the provision of dental treatments (effect sizes: 0.55-1.49). CONCLUSION: The OHIP5-Ar showed satisfactory psychometric properties among Arabic-speaking population. This instrument is sensitive to the changes of oral health and can be used to measure the OHRQoL with one total score.


Subject(s)
Health Impact Assessment , Oral Health , Quality of Life , Translations , Adolescent , Factor Analysis, Statistical , Female , Humans , Language , Male , Middle Aged , Reproducibility of Results , Surveys and Questionnaires
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