PURPOSE: To assess the relationship between MIH and caries experience among children in the city of Fujairah, UAE, utilising the recent criteria recommended by the European Academy of Paediatric Dentistry (EAPD) in 2021, and to assess the relationship between the number of teeth affected with MIH, and dental caries.
METHODS: One hundred and sixty-two children were included in this cross-sectional study, aged 7-9 years old. Children were examined for MIH according to Ghanim et al. (Eur Arch Paediatr Dent 16:235-246, 2015. 10.1007/s40368-015-0178-8) criteria and Ghanim et al. (Eur Arch Paediatr Dent 18:225-242. 10.1007/s40368-017-0293-92017) training manual. Caries experience was assessed with decayed, missing, filled (dmft, DMFT) scoring system.
RESULTS: dmft mean was 6.56 (SD ± 3.78) and DMFT mean was 0.91 (SD ± 1.23). Children with MIH had significantly higher dmft (p = 0.003) scores. Children with higher HTN had significantly higher dmft (p = 0.008) scores.
CONCLUSION: Children in Fujairah have extremely high caries scores. Children with MIH have more decayed, missing and filled teeth. Hypomineralised teeth number was positively associated with caries experience.
BACKGROUND: Molar-Incisor Hypomineralization (MIH) prevalence in paediatric patients has been widely studied. However, most of the available studies have utilised criteria that did not offer consistent diagnostic and calibration tools, which resulted in incomparable results.
METHODS: Cross-sectional study. One hundred sixty-two school children aged 7-9 years in the city of Fujairah, UAE have been randomly selected and orally examined for the presence of MIH lesions. This was conducted following Ghanim et al. [2015] guidelines and after calibrating examiners following Ghanim et al. [2017] training manual.
CONCLUSION: MIH prevalence was high in the city of Fujairah, UAE. More studies utilising the standardised criteria are required for valid comparisons. Further research on the aetiology of MIH is also needed.
METHODS: Two-hundred unrelated Emirati parents of patients selected for bone marrow transplantation were genotyped for HLA class I (A, B, C) and class II (DRB1, DQB1) genes using reverse sequence specific oligonucleotide bead-based multiplexing. HLA haplotypes were assigned with certainty by segregation (pedigree) analysis, and haplotype frequencies were obtained by direct counting. HLA class I and class II frequencies in Emiratis were compared to data from other populations using standard genetic distances (SGD), Neighbor-Joining (NJ) phylogenetic dendrograms, and correspondence analysis.
RESULTS: The studied HLA loci were in Hardy-Weinberg Equilibrium. We identified 17 HLA-A, 28 HLA-B, 14 HLA-C, 13 HLA-DRB1, and 5 HLA-DQB1 alleles, of which HLA-A*02 (22.2%), -B*51 (19.5%), -C*07 (20.0%), -DRB1*03 (22.2%), and -DQB1*02 (32.8%) were the most frequent allele lineages. DRB1*03~DQB1*02 (21.2%), DRB1*16~DQB1*05 (17.3%), B*35~C*04 (11.7%), B*08~DRB1*03 (9.7%), A*02~B*51 (7.5%), and A*26~C*07~B*08~DRB1*03~DQB1*02 (4.2%) were the most frequent two- and five-locus HLA haplotypes. Correspondence analysis and dendrograms showed that Emiratis were clustered with the Arabian Peninsula populations (Saudis, Omanis and Kuwaitis), West Mediterranean populations (North Africans, Iberians) and Pakistanis, but were distant from East Mediterranean (Turks, Albanians, Greek), Levantine (Syrians, Palestinians, Lebanese), Iranian, Iraqi Kurdish, and Sub-Saharan populations.
CONCLUSIONS: Emiratis were closely related to Arabian Peninsula populations, West Mediterranean populations and Pakistanis. However, the contribution of East Mediterranean, Levantine Arab, Iranian, and Sub-Saharan populations to the Emiratis' gene pool appears to be minor.
OBJECTIVES: To characterize dietary patterns among pregnant women living in the UAE and examine their associations with gestational weight gain and gestational weight rate.
METHODOLOGY: Data were drawn from the Mother-Infant Study Cohort, a two-year prospective cohort study of pregnant women living in the United Arab Emirates, recruited during their third trimester (n = 242). Weight gain during pregnancy was calculated using data from medical records. The Institute of Medicine's recommendations were used to categorize gestational weight gain and gestational weight gain rate into insufficient, adequate, and excessive. During face-to-face interviews, dietary intake was assessed using an 89-item culture-specific semi-quantitative food frequency questionnaire that referred to usual intake during pregnancy. Dietary patterns were derived by principal component analysis. Multiple logistic regression analyses were used to evaluate the associations of derived dietary patterns with gestational weight gain/gestational weight gain rate.
RESULTS: Two dietary patterns were derived, a "Diverse" and a "Western" pattern. The "Diverse" pattern was characterized by higher intake of fruits, vegetables, mixed dishes while the "Western" pattern consisted of sweets and fast food. The "Western" pattern was associated with excessive gestational weight gain (OR:4.04,95% CI:1.07-15.24) and gestational weight gain rate (OR: 4.38, 95% CI:1.28-15.03) while the "Diverse" pattern decreased the risk of inadequate gestational weight gain (OR:0.24, 95% CI:0.06-0.97) and gestational weight gain rate (OR:0.28, 95% CI:0.09-0.90).
CONCLUSION: The findings of this study showed that adherence to a "Diverse" pattern reduced the risk of insufficient gestational weight gain/gestational weight gain rate, while higher consumption of the "Western" pattern increased the risk of excessive gestational weight gain/gestational weight gain rate. In view of the established consequences of gestational weight gain on the health of the mother and child, there is a critical need for health policies and interventions to promote a healthy lifestyle eating through a life course approach.
DESIGN: Intracanal samples were collected from primarily infected (n = 10) and post-treatment infected (n = 10) root canals of human teeth using sterile paper points. Bacterial DNA was amplified from seven hypervariable regions (V2-V4 and V6-V9) of the 16S rRNA gene, then sequenced using next-generation sequencing technology. The data was analyzed using appropriate bioinformatic tools.
RESULTS: Analyses of all the samples revealed eight major bacterial phyla, 112 genera and 260 species. Firmicutes was the most representative phylum in both groups and was significantly more abundant in the post-treatment (54.4%) than in primary (32.2%) infections (p>0.05). A total of 260 operational taxonomic units (OTUs) were identified, of which 126 (48.5%) were shared between the groups, while 83 (31.9%) and 51 (19.6%) disparate species were isolated from primary and post-treatment infections, respectively. A significant difference in beta, but not alpha diversity was noted using several different indices (p< 0.05). Differential abundance analysis indicated that, Prevotella maculosa, Streptococcus constellatus, Novosphigobium sediminicola and Anaerococcus octavius were more abundant in primary infections while Enterrococcus faecalis, Bifidobacterium dentium, Olsenella profusa and Actinomyces dentalis were more abundant in post-treatment infections (p <0.05).
CONCLUSION: Significant differences in the microbiome composition and diversity in primary and post-treatment endodontic infections were noted in our UAE cohort. Such compositional differences of microbiota at various stages of infection could be due to both intrinsic and extrinsic factors impacting the root canal ecosystem during disease progression, as well as during their therapeutic management. Identification of the key microbiota in primarily and secondarily infected root canals can guide in the management of these infections.
Methodology: We identified all cancer research papers from OIC countries in the Web of Science from 2008 to 2017 with a filter based on journal names and title words, with high precision and recall. We analysed the country outputs, the cancer sites investigated, the types of research, sources of funding and the citations to the papers.
Results: There were 49,712 cancer research papers over this period. The leading countries in terms of output were Turkey, Iran, Egypt and Malaysia, but the most cited papers were from Qatar, Indonesia and Saudi Arabia. International collaboration was low, except in Qatar and the United Arab Emirates. The site-specific cancers accounting for most research were breast and blood, correlating with their disease burden in the OIC countries, but lung, cervical and oesophageal cancers were relatively under-researched. Most funding from within the OIC countries was from their own university sector.
Conclusion: Cancer is seriously under-researched in most of the OIC countries. This will undermine the ability of these countries and OIC as a whole to deliver on better cancer control for their populations. New policies, OIC leadership and funding are urgently needed to address this situation.
Methods: A literature search was carried out through Scopus, Science Direct, Google Scholar, PubMed, and EBSCOhost databases based on specific search terms. Each article was appraised based on title, abstract, and full text. The selected articles were critically appraised, and relevant information to support the validity of MMI in various educational settings was synthesized. This paper followed the PRISMA guideline to ensure consistency in reporting systematic review results.
Results: A majority of the studies were from Canada, with 41.54%, followed by the United Kingdom (25.39%), the United States (13.85%), and Australia (9.23%). The rest (9.24%) were from Germany, Ireland, the United Arab Emirates, Japan, Pakistan, Taiwan, and Malaysia. Moreover, most MMI stations ranged from seven to 12 with a duration of 10 min per station (including a 2-min gap between stations).
Conclusion: The results suggest that the content, response process, and internal structure of MMI were well supported by evidence; however, the relation and consequences of MMI to important outcome variables were inconsistently supported. The evidence shows that MMI is a non-biased, practical, feasible, reliable, and content-valid admission tool. However, further research on its impact on non-cognitive outcomes is required.
MATERIALS AND METHODS: We retrospectively analysed hospital records and DXA scan measurements of 635 patients at tertiary hospital in Ajman, UAE. Patients with T2DM were compared to non-diabetic control group. Data were analysed using SPSS version 20. Student’s t test was used for continuous variables, while chi-square test for categorical variables. Relative risk (RR) and it’s 95% Confidence Interval (95%CI) were calculated for prevalence
of osteoporosis among the two group.
RESULTS: In all 141 patients in the diabetic group and 428 patients in the control group, while 66 patients were
excluded based on exclusion criteria. Prevalence of osteoporosis was significantly higher in diabetic group (RR:
1.2, 95%CI: 1.1, 1.2). BMD and T-score values were similar in diabetic and control groups. Z-score values of lumbar spine, L1 and L3 were significantly higher in diabetic group. Obese patients have significantly higher BMD than non-obese in both studied groups. Younger diabetic patient had significantly higher value of BMD, T-score and Z-score in left femur total hip.
CONCLUSION: Although BMD and T-score values were similar between the two groups, women with T2DM had significant higher prevalence of osteoporosis.
METHODS: The validated Grasha-Riechmann teaching style inventory was administered online for data collection and used SPSS version 20.0 for statistical analysis.
RESULTS: Of the 460 invitees, 248 responded (response rate; 54%). Delegator teaching style was most common with a highest median and mean of 2.38 and 2.45, respectively. There was a significant correlation between expert and authority teaching styles, correlation coefficient 0.62. Similarly, we found a significant correlation between authority teaching style and nature of curriculum, correlation coefficient 0.30. Multiple regression analysis showed that only authority teaching style and male gender had significant correlation. Interestingly, 117 (47%) teachers disagreed with the teaching philosophy of delivering course contents by strictly following learning outcomes. Female teachers (114/248) were more willing to negotiate with their students regarding how and what to teach in their course, while male teachers tended to allow more autonomy by allowing students to set their learning agenda.
CONCLUSIONS: This study showed that the medical teachers preferred delegator teacher style that promotes students' collaboration and peer-to-peer learning. Most teachers are conscious of their teaching styles to motivate students for scientific curiosity. These findings can help medical educators to modify their teaching styles for effective learning.
OBJECTIVES: To investigate the pattern of gestational weight gain (GWG) and gestational diabetes mellitus (GDM) and their risk factors among a cohort of Emirati and Arab women residing in the United Arab Emirates (UAE). A secondary objective was to investigate pre-pregnancy body mass index (BMI) and its socio-demographic correlates among study participants.
METHODS: Data of 256 pregnant women participating in the cohort study, the Mother-Infant Study Cohort (MISC) were used in this study. Healthy pregnant mothers with no history of chronic diseases were interviewed during their third trimester in different hospitals in UAE. Data were collected using interviewer-administered multi-component questionnaires addressing maternal sociodemographic and lifestyle characteristics. Maternal weight, weight gain, and GDM were recorded from the hospital medical records.
RESULTS: Among the study participants, 71.1% had inadequate GWG: 31.6% insufficient and 39.5% excessive GWG. 19.1% reported having GDM and more than half of the participants (59.4%) had a pre-pregnancy BMI ≥ 25 kg/m2. The findings of the multiple multinomial logistic regression showed that multiparous women had decreased odds of excessive gain as compared to primiparous [odds ratio (OR): 0.17; 95% CI: 0.05-0.54]. Furthermore, women with a pre-pregnancy BMI ≥ 25 kg/m2 had increased odds of excessive gain (OR: 2.23; 95%CI: 1.00-5.10) as compared to those with pre-pregnancy BMI