Materials and Methods: This school-based study was conducted on 520 children of age group of 12-14 years of both genders. Location, education, and employment status of parents, use of toothbrush, frequency of brushing, dental floss, total number of meals in a day, number of snacks between meals and sugar consumption, and decayed, missing, filled teeth were recorded.
Results: There were 266 males and 254 females. Age group 12 years had 80 males and 90 females, 13 years had 70 males and 60 females, and 14 years had 116 males and 104 females. Ninety-six males and 110 females were from urban and 170 males and 144 females were from rural. The mean plaque score in 12-year male children was 0.61 ± 0.32, in 13-year children was 0.68 ± 0.45, and in 14 years was 0.74 ± 0.48. In males, the mean plaque score was 0.70 ± 0.38 and in females was 0.66 ± 0.42. In children from urban area, the mean plaque score was 0.62 ± 0.34 and from rural area was 0.74 ± 0.40. Four hundred and eighteen children were using toothpaste and they had plaque score of 0.76 and 102 children were using floss and they had plaque score of 0.89. Three hundred and twenty children were brushing once, 90 twice, and 110 irregular and there mean plaque score was 0.70, 0.61, and 0.76, respectively. The difference was significant (P < 0.05).
Conclusion: Authors found that oral health status of children consuming high sugar, more snacks per day, and brushing occasionally was poor.
METHODS: In total, 150 3D CBCT scans of study subjects having class 1, class 2, and class 3 malocclusions have been analyzed retrospectively for the estimation of volume of mastoid air cells by Dolphin imaging software V11.9, and measurement data of volumes have been recorded and analyzed using SPSS software 24.v.
RESULTS: The volume of mastoid air cells was highest in age group of 14-28 years which was statistically not significant (P value >.05). The volume of mastoid air cells in the right side of cranium is greater than mastoid air cells in the left side. The mastoid air cell volume was higher in males than females. The volume of mastoid air cells (right side) was highest in class II malocclusion (2404.53 ± 1737.50 mm3) followed by class III and was least in class I malocclusion (1842.09 ± 1263.78 mm3). However, the volume of mastoid air cells in the left side was highest in class III malocclusion (2368.03 ± 1853.00 mm3) followed by class II and was least in class I (1920.52 ± 1285.34 mm3).
CONCLUSIONS: The volume of mastoid air cells varies in different class of orthodontic malocclusions. The mastoid air cells volume is higher in males than females. On the basis of mastoid air cells volume, we are able to predict the age, sex, and class of orthodontic malocclusion.
Methods: Microarray expression dataset GSE22255 was retrieved from the Gene Expression Omnibus (GEO) database. It includes messenger ribonucleic acid (mRNA) expression data for the peripheral blood mononuclear cells of 20 controls and 20 IS patients. The bioconductor-package 'affy' was used to calculate expression and a pairwise t-test was applied to screen DEGs (P < 0.01). Further, GSEA was used to determine the enrichment of DEGs specific to gene ontology (GO) annotations.
Results: GSEA analysis revealed 21 genes to be significantly plausible gene markers, enriched in multiple pathways among all the DEGs (n = 881). Ten gene sets were found to be core enriched in specific GO annotations. JunD, NCX3 and fibroblast growth factor receptor 4 (FGFR4) were under-represented and glycoprotein M6-B (GPM6B) was persistently over-represented.
Conclusion: The identified genes are either associated with the pathophysiology of IS or they affect post-IS neuronal regeneration, thereby influencing clinical outcome. These genes should, therefore, be evaluated for their utility as suitable markers for predicting IS in clinical scenarios.
METHODS: An emergency response programme on mental health was conducted from June to September 2020. A standardized data collection form was distributed among the HCWs in the government hospital in Klang Valley. The form contained basic demographic information and the self-reported Malay version of the Depression, Anxiety and Stress scale (BM DASS-21).
RESULTS: Of the1,300 staff who attended the Mental Health and Psychosocial Support in Covid-19 (MHPSS COVID-19) programme, 996 staff (21.6% male, 78.4% female) completed the online survey (response rate: 76.6%). Result showed that staff aged above 40 years old were almost two times more likely to have anxiety (AOR = 1.632; 95% CI = 1.141-2.334, p:0.007) and depression (AOR = 1.637; 95% CI = 1.1.06-2.423, p:0.014) as compared to staff who were less than 40 years old. Those who had direct involvement with COVID-19 patients were likely to suffer stress (AOR = 0.596; 95% CI = 0.418-0.849, p:0.004), anxiety (AOR = 0.706; 95% Ci = 0.503-0.990, p:0.044) and depression (AOR = 0.630; 95% Ci = 0.427-0.928, p:0.019). HCWs with stress (AOR = 0.638; 95% CI of 0.476-0.856, p = 0.003), anxiety (AOR = 0.720; 95% CI 0.542-0.958, p = 0.024) and depression (AOR = 0.657; 95% CI 0.480-0.901, p = 0.009) showed less confidence to treat critically ill patients and need psychological help during outbreak.
CONCLUSION: This study showed the importance of psychosocial support to reduce psychological distress among HCWs when working or coping during the COVID-19 pandemic or outbreak.
METHODS: In this work, we present a general overview of INPST activities and showcase the specific use of Twitter as a powerful networking tool that was used to host a one-week "2021 INPST Twitter Networking Event" (spanning from 31st May 2021 to 6th June 2021) based on the application of the Twitter hashtag #INPST.
RESULTS AND CONCLUSION: The use of this hashtag during the networking event period was analyzed with Symplur Signals (https://www.symplur.com/), revealing a total of 6,036 tweets, shared by 686 users, which generated a total of 65,004,773 impressions (views of the respective tweets). This networking event's achieved high visibility and participation rate showcases a convincing example of how this social media platform can be used as a highly effective tool to host virtual Twitter-based international biomedical research events.