METHODS: Secondary data analysis of adults aged 18 years and over from the National Health and Morbidity Survey 2019 was conducted in this study. Characteristics of respondents and those who utilised oral healthcare were described using complex sample descriptive statistics. Logistic regression analysis was performed to examine the association between the dependent and independent variables. Dependent variable was oral healthcare utilisation in the last 12 months. Independent variables were demographic and socioeconomic factors (predisposing, enabling and need characteristics) based on Andersen's Behavioural Model.
RESULTS: A total of 11,308 respondents, estimated to represent 21.7 million adults aged 18 years and over in Malaysia were included in the analysis. Prevalence of oral healthcare utilisation in the last 12 months was 13.2%. Demographic factors of sex, age, marital status, and socioeconomic factors of education level and occupation as well as health belief such as medical check-up were significantly related to oral healthcare utilisation. Enabling factor of household income quintile had significant association with oral healthcare utilisation. Inequalities were observed; females (OR = 1.57, 95% CI = 1.25, 1.96), younger adults (OR = 1.64, 95% CI = 1.15, 2.33), those who were married (OR = 1.65, 95% CI = 1.23, 2.22), those with higher education (OR = 2.21, 95% CI = 1.23, 3.99), those who had medical check-up in the last 12 months (OR = 1.86, 95% CI = 1.53, 2.25) and those with higher income (OR = 1.43, 95% CI = 1.04, 1.96) were more likely to utilise oral healthcare.
CONCLUSION: Understanding factors associated with utilisation of oral healthcare could help in formulating effective interventions to improve oral healthcare utilisation. Demographic and socioeconomic factors are strong determinants of oral healthcare utilisation in Malaysia. Appropriate interventions to strengthen the existing programmes aimed to promote regular and timely oral health check-ups are needed to improve oral healthcare utilisation.
METHODS: A randomized, parallel group, double blinded study was conducted on 54 patients undergoing orthodontic treatment at a university clinic. They were randomized to 3 groups, i.e., WhatsApp (W) group, electronic mail (email) (E) group and control (C) group with 18 subjects in each group. Group (W) and group (E) received oral health messages once a week through WhatsApp and email reminders, respectively, while group (C) did not receive any reminders. Plaque was measured at baseline (T0), after 4 weeks (T1), and after 8 weeks (T2). For each subject, intraoral photographs were taken after application of a plaque-disclosing agent; and the area covered by plaque was measured on teeth 12, 13, 43, 22, 23 and 33 by planimetry. Data were analyzed using SPSS (version 22, IBM Corp., Armonk, NY, USA). Mixed analysis of variance (ANOVA) was used to compare plaque scores between and within the groups.
RESULTS: A total of 54 subjects (14 males and 40 females) with mean age of 22.43 years completed the study. At the end of 8 weeks, no statistically significant difference in the mean plaque score was found between the groups at the different time intervals (p = 0.201).
CONCLUSION: WhatsApp and email reminders did not significantly influence the oral hygiene compliance of orthodontic patients.
METHODS: A cross-sectional survey including 706 six-year-old children was conducted in 2017 in Benghazi, Libya. Data were collected through a self-administered questionnaire assessing socioeconomic status and oral health behaviours, and the Arabic version of the Early Childhood Oral Health Impact Scale (A-ECOHIS) to assess the OHRQoL. Clinical examination assessed caries experience at tooth level (dmft) and the number of decayed, missing due to caries and filled teeth (dt, mt and ft). Poisson regression analysis was performed to determine the association between dmft scores and the independent predictors. Linear regression analysis was conducted for ECOHIS scores with the children's gender, SES and OHB. The statistical significance was set to ≤ 0.05.
RESULTS: Data were available for 706 children. Caries prevalence (dt) and dmft of ≥ 1 were 69.1% and 71% respectively. The mean ± SD dmft score was 3.23 ± 3.32. There was a significant and direct association between dmft scores and daily consumption of sugary snacks (B = 1.27, P = 0.011) and a significant inverse association with teethbrushing twice daily (B = 0.80, P = 0.041). There was a significant and direct association between A-ECOHIS and dmft (B = 1.14, P ≤ 0.001) and a significant and inverse association between A- ECOHIS and high and intermediate family income compared to low income (B = -3.82, P = 0.0001 and B = -2.06, P = 0.028).
CONCLUSIONS: 6-year-old Libyan children had a relatively high caries experience an untreated decay with impact on OHRQoL. Social disparities, sugar consumption patterns and oral hygiene practices were associated with high caries experience.
METHODS: National representative data from the 2009 Adult Dental Health Survey, United Kingdom, were used in this study. Periodontal disease severity was measured using periodontal pocket depth and categorized into three groups: pocket depth up to 3.5, 3.5-5.5 and more than 5.5 mm. OHRQoL was measured using the Oral Health Impact Profile-14 (OHIP-14) scores. Bivariate and multivariable Zero-inflated Poisson regression analysis was used.
RESULTS: A total of 6378 participants was analysed in this study. Periodontal pocketing was significantly associated with higher OHIP-14 scores. Participants with periodontal pocket depths >3.5 mm had a significantly higher prevalence for functional limitation, physical pain and social disability than participants with pocket depths of less than 3.5 mm. Participants with periodontal pocket depth(s) >5.5 mm had significantly higher OFOVO prevalence in all the domains of OHIP-14 except handicap domain than participants with pocket depth(s) <3.5 mm.
PARTICIPANTS:
CONCLUSION: This study showed that for a nationally representative sample of the United Kingdom population, periodontal disease was significantly associated with the domains of OHRQoL.