Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa học đề tài : Evaluation of oral health-related quality of life among Sudanese schoolchildren using Child-OIDP inventory | Nurelhuda et al. Health and Quality of Life Outcomes 2010 8 152 http content 8 1 152 HEALTH AND QUALITY OF LIFE OUTCOMES RESEARCH Open Access Evaluation of oral health-related quality of life among Sudanese schoolchildren using Child-OIDP inventory Nazik M Nurelhuda1 2 Mutaz F Ahmed3 Tordis A Trovik4 Anne N Ằstr0m1 2 Abstract Background Information on oral health-related quality of life in addition to clinical measures is essential for healthcare policy makers to promote oral health resources and address oral health needs. Objectives This paper aimed at evaluating the psychometric properties of the Arabic version of Child-OIDP estimating the prevalence severity and causes of oral impacts on daily performances in 12-year-old public and private school attendees in Khartoum State and to identify socio-demographic and clinical correlates of oral impacts as assessed by the Child-OIDP inventory. Methods The Child-OIDP questionnaire was translated into Arabic was administered to a representative sample of 1109 schoolchildren in Khartoum state. Clinical measures employed in this study included DMFT index Gingival index Plaque index and Dean s index. A food frequency questionnaire was used to study the sugar-sweetened snack consumption. Results The instrument showed acceptable psychometric properties and is considered as a valid reliable Cronbach s alpha and practical inventory for use in this population. An impact was reported by of the schoolchildren. The highest impact was reported on eating followed by cleaning and the lowest impacts were on speaking and social contact . Problems which contributed to all eight impacts were toothache sensitive teeth exfoliating teeth swollen gums and bad breath. Toothache was the most frequently associated cause of almost all impacts in both private and public school attendees. After adjusting for confounders in the 3 multiple variable regression models whole sample public and private school .
