METHODS: 5- to 6-year-olds attending kindergartens were randomized to receive either 6-month dental home visits and education leaflets (Intervention group) or education leaflets alone (Control group) over 24 months. To detect a 15% difference in caries incidence with a significance level of 5% and power of 80%, 88 children were calculated to be needed in the Intervention group and 88 in the Control. Baseline clinical data included oral examinations at the kindergartens. Follow-up visits were made on the 6th, 12th and 18th month. At the end of the 24 months, both the Intervention and Control groups were visited for oral examinations. The primary outcome was caries incidence, measured by the number and proportion of children who developed new caries in the primary molars after 24 months. The secondary outcome was the number of primary molars that developed new caries (d-pms). Frequency distributions of participants by baseline socio-demographic characteristics and caries experience were calculated. The chi-square test was used to test differences between the caries experience in the Intervention and Control groups. The t test was used to compare the mean number of primary molars developing new caries between the Intervention Group and the Control Group. The number of children needed to treat (NNT) was also calculated.
RESULTS: At the 24-month follow-up, 19 (14.4%) developed new caries in the Intervention Group, compared to 60 (60.0%) in the Control Group (p = .001). On average, 0.2 (95% CI = 0.1-0.3) tooth per child in the Intervention Group was observed to have developed new caries compared to 1.1 (95% CI = 0.8-1.3) tooth per child in the Control Group (p = .001). The number of children needed to treat (NNT) to prevent one child from developing new caries was 2.2.
CONCLUSIONS: The present study has demonstrated that 6-month home visits to families of 5- to 6-year-olds are effective in caries prevention in 5- to 6-year-olds of low-income families in a middle-income country where access to health services, including oral health promotion services, is limited.
Subjects and Methods: In an analytical cross-sectional design, we used simple random sampling technique to select 242 multiracial Malaysian male fishermen aged between 18 and 75 years from five fishing villages located at Gurney Drive, Tanjong Tokong, Tanjong Bungah, Batu Ferringhi, and Teluk Bahang to participate in this study. During four consecutive weekends in January 2017, we conducted face-to-face interviews with participants using a pre-validated, interviewer-administered WHO oral health questionnaire. We categorized participants as having "good" or "poor" oral health based on a mean cutoff score of 14. Multivariate regression models were fitted to assess the oral health status and associated lifestyle factors among the study population, using SPSS version 22.
Results: We achieved a response rate of 97.6%. Overall, the prevalence of poor oral health in this study was 47.5%. "Income" (RM/month), "type of fishing," "additional occupation," "age" (years), "frequency of pies, buns consumed," and "frequency of sweets, soft drinks consumed" were significant predictors of oral health status among the fishermen.
Conclusion: Poor oral health is relatively highly prevalent among the fishermen in our study. The oral health status of fishermen in Teluk Bahang was consistent with the national average and significantly associated with their sociodemographic and lifestyle factors. Targeted interventions are required to arrest and reverse this trend.
METHODS: A cross-sectional study was conducted in ten different dental hospitals of Pakistan. The one-way ANOVA test was used to analyze patient's demographic distribution with PSR-OHS and oral functions. The complex sample general linear model was used to determine association between clinical OH and PSR-OHS. Analyses of each age group were conducted separately.
RESULTS: A total of 1,804 outdoor patients participated in the study, out of which 660 were young adults, 685 adults and 459 were older adults. Overall self-perception of all age groups about their oral health was 'good' (mean = 3.71). Female gender and education status were a significant factor in young adults and adults. Family income affected PSR-OHS of only the adult age group. Frequent visit to dental clinic and preventive reason of dental attendance were associated with good PSR-OHS. DMFT score, prosthesis score and periodontal score also affected the PSR-OHS of individuals. Association between PSR-OHS and clinical examination was confirmed by complex general linear model.
CONCLUSION: There are differences in the perceived oral health status of young adults, adults and older adults. The variables, age, education, family income, DMFT score, prosthesis score and periodontal score directly influence the self-perception of individuals.
METHODS: A cross-sectional study was carried out on 446 older adults aged 50 years and above from 20 randomly selected villages. Respondents were interviewed to collect information on their demographic characteristics and oral health perception, followed by physical examination to measure height, weight and body mass index (BMI) of respondents. The validated Malay version of General Oral Health Assessment Index (GOHAI) was used to measure OHRQoL.
RESULTS: About one-third (35.8%) of the respondents had normal BMI. Majority of the respondents were overweight (40.4%) and obese (19.9%), while only a small proportion was underweight (3.9%). Mean GOHAI score was 53.3 (SD = 4.7), indicating low perception of oral health. About 81.6% respondents had moderate to low perception of oral health. Logistic regression analysis showed a statistically significant association between the GOHAI and BMI scores (OR = 2.3; p Oral health-related quality of life was significantly associated with nutritional condition of respondents. Older adults with poor perception of their oral health were more likely to have unsatisfactory BMI compared to those who perceived their oral health to be good.
Methods: One hundred and eighty-eight healthy subjects aged between 18 and 50 years with varying oral hygiene status who gave consent to participate were included in this cross-sectional study. The subjects were recruited from primary oral health care of MAHSA University. Oral hygiene of all the participants was measured using Oral Hygiene Index-Simplified (OHI-S). Stimulated saliva collected using paraffin wax was analyzed for salivary statherin, aPRP, and calcium. The relationship between salivary statherin, aPRP, and calcium levels with OHI-S was assessed using Spearman's Rank correlation coefficient; the strength of relationship was assessed by multiple linear regression analysis.
Results: The study found a weak positive correlation (r = 0.179, p = 0.014) between salivary statherin and OHI-S; weak negative correlation (r = -0.187, p = 0.010) between salivary aPRP and OHI-S; and moderate negative correlation between salivary statherin and salivary aPRP levels (r = -0.50, p
METHODS: A cross-sectional survey among community dwelling older persons utilizing stratified cluster sampling was conducted in 2018. Well-trained interviewers conducted a face-to-face interview with older persons aged ≥60 years to collect information on participants' sociodemographic characteristics, self-perception on general as well as oral health using the Geriatric Oral Health Assessment Index (GOHAI). Multivariate analysis of the data collected was performed using SPSS version 23.
RESULTS: Overall, the GOHAI mean ± SD score for older persons in Malaysia was 51.83 ± 7.98, which was an average of fair mean (P oral health (48.34 ± 8.96) or poor self-rated general health (47.13 ± 8.93) had poor mean OHRQoL (P oral health (aOR: 3.83 [3.19, 4.59]) were significantly associated with higher odds of having poor OHRQoL.
CONCLUSIONS: The estimated OHRQoL of older persons in Malaysia is rated as fair, with minimum association contributed by the sociodemographic factors, but with a significant influence by self-rated oral and general health. Self-perception of health can be used as a good indicator to estimate the OHRQoL. Geriatr Gerontol Int 2020; 20: 57-62.