METHODS: Hundred fifty pre-orthodontic study casts comprised of 52 Malay, 54 Chinese, and 44 Indian patients were selected. Digital calipers (Fowler Pro-Max) linked to Hamilton Tooth Arch Software were used to measure the tooth width and ratios. Statistical analysis was carried out to test for gender differences (independent t-test), to identify the effects of malocclusion and ethnic groups (Two-way ANOVA), and to compare the means of the current study with Bolton's standards (one sample t-test).
RESULTS: This study showed that there was no significant difference between the genders of the sample of each ethnicity. There was no correlation found between ethnic groups and malocclusion classes. There was a significant difference when comparing Bolton values with the Malay sample for both ratios. It was found that more Malay subjects presented with maxillary excess contrary to Chinese and Indians who presented more maxillary deficiency for the anterior and overall ratio.
CONCLUSION: There was a significant difference found between the TSD of the three major ethnicities in Malaysia. The Bolton standards can be applied to Malaysian Chinese and Indians but not to Malays orthodontic populations for both anterior and overall ratios. Subsequently, a specific standard should be used for the Malays orthodontic population. It was found that more Malay subjects presented with maxillary excess contrary to Chinese and Indians who presented more maxillary deficiency for the anterior and overall ratio.
OBJECTIVE: To review the factors associated with depression among mothers of children with cancer.
METHOD: Pubmed, Medline, Cochrane, CINAHL, Psychology, and Behavioural Sciences Collection, and Academic Search Complete were searched according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to identify studies published between 2010 to 2022 on the associated risk factors of depression among mothers of children with cancer. The keywords used included mothers OR maternal' AND 'Child*' AND 'cancer OR tumo*r OR neoplasm' AND 'factors OR facilitators AND barriers OR predictors OR determinants AND 'depression'. Selected studies were evaluated by quality assessment.
RESULT: Five articles fulfilled the eligibility criteria. The factors associated with depression among mothers of children were socio-demographic risk factors (marital status, education level, annual income, child cancer diagnosis), and stress factors (caregiving stress, cancer-related stress, general stress). There were other factors associated with depression that act as mediators along the process which were emotion-focused coping and perceived social support.
CONCLUSION: Besides the commonly reported socio-demographic risk factors (marital status, education level, and annual income), other factors include stress factors (caregiving stress, cancer-related stress, and general stress). Furthermore, emotion-focused coping and perceived social support act as mediators along the process. More studies are warranted to explore depression among these mothers to ensure the most appropriate and effective preventive measures.
METHODS: An extensive search using various keywords was conducted in Science Direct, PsycINFO, PubMed, Scopus, Cochrane Library, JSTOR, Springer Link, and Taylor Francis. The screening process was compliant with the PRISMA guideline, while the quality of the selected studies was assessed using the QuADS tool.
RESULTS: The analysis included 15 research from 12 different countries with 6031 postpartum mothers. A decreased risk of PPD for postpartum mothers is shown to be significantly correlated with greater emotional support, and vice versa.
DISCUSSION: Asian women are less likely to seek emotional assistance than other mothers, which is influenced by culture. There needs to be more research on the impact of culture on postpartum mothers' emotional support. Additionally, this review hopes to raise awareness among the mothers' friends and family as well as the medical community to be more attentive to postpartum mothers' emotional needs and offer specialized assistance.
OBJECTIVE: To develop and validate a deep learning model using readily available clinical information to predict treatment success with the first ASM for individual patients.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study developed and validated a prognostic model. Patients were treated between 1982 and 2020. All patients were followed up for a minimum of 1 year or until failure of the first ASM. A total of 2404 adults with epilepsy newly treated at specialist clinics in Scotland, Malaysia, Australia, and China between 1982 and 2020 were considered for inclusion, of whom 606 (25.2%) were excluded from the final cohort because of missing information in 1 or more variables.
EXPOSURES: One of 7 antiseizure medications.
MAIN OUTCOMES AND MEASURES: With the use of the transformer model architecture on 16 clinical factors and ASM information, this cohort study first pooled all cohorts for model training and testing. The model was trained again using the largest cohort and externally validated on the other 4 cohorts. The area under the receiver operating characteristic curve (AUROC), weighted balanced accuracy, sensitivity, and specificity of the model were all assessed for predicting treatment success based on the optimal probability cutoff. Treatment success was defined as complete seizure freedom for the first year of treatment while taking the first ASM. Performance of the transformer model was compared with other machine learning models.
RESULTS: The final pooled cohort included 1798 adults (54.5% female; median age, 34 years [IQR, 24-50 years]). The transformer model that was trained using the pooled cohort had an AUROC of 0.65 (95% CI, 0.63-0.67) and a weighted balanced accuracy of 0.62 (95% CI, 0.60-0.64) on the test set. The model that was trained using the largest cohort only had AUROCs ranging from 0.52 to 0.60 and a weighted balanced accuracy ranging from 0.51 to 0.62 in the external validation cohorts. Number of pretreatment seizures, presence of psychiatric disorders, electroencephalography, and brain imaging findings were the most important clinical variables for predicted outcomes in both models. The transformer model that was developed using the pooled cohort outperformed 2 of the 5 other models tested in terms of AUROC.
CONCLUSIONS AND RELEVANCE: In this cohort study, a deep learning model showed the feasibility of personalized prediction of response to ASMs based on clinical information. With improvement of performance, such as by incorporating genetic and imaging data, this model may potentially assist clinicians in selecting the right drug at the first trial.
METHOD: The DERS-18 underwent forward-backward translation and assessment of face and content validity. Both Malay version of the DERS-18 and DASS-21 were completed by 701 adolescents (44.4% boys) aged 13 and 14 years old. To assess its dependability, a floor and ceiling effect evaluation and Cronbach's analysis were both performed. A series of confirmatory factor analyses (CFA), bivariate correlation, and regression were performed to evaluate the construct and criterion validity, respectively.
RESULTS: The Malay version of DERS-18, after excluding "Awareness", indicated excellent reliability (Cronbach's α = 0.93), and acceptable internal consistency for each subscale (range of α from 0.63 to 0.82). Floor or ceiling effects were observed at item level and subscale level, but not at total level. CFA results revealed that the Malay version of the DERS-18 bifactor model (excluding "Awareness") portrayed the best construct validity (χ2/df = 2.673, RMSEA = 0.049, CFI = 0.977, TLI = 0.968) compared to a single factor, a correlated factor, and a higher-order factor model. The DERS-18 subscales (except "Awareness") and DERS-18 total scores were significantly correlated with stress, anxiety, and depression in a positive direction (r ranged from 0.62 to 0.64, p < 0.01). The general factor of the DERS-18 and its specific factors ("Clarity", "Goals", and "Non-Acceptance") significantly predicted the symptoms of stress, anxiety, and depression (R2 ranged from 0.44 to 0.46, p < 0.001).
CONCLUSION: The Malay version of the DERS-18, excluding "Awareness", possessed good reliability, construct validity, and criterion validity to assess emotion dysregulation among Malaysian adolescents.
AIM: To evaluate CD117 expression in ovarian surface epithelial tumours.
MATERIALS AND METHODS: This retrospective study included 30 ovarian epithelial borderline, low and highly malignant tumours' formalin-fixed paraffin-blocks (FFPE) tissue blocks. Tissue sections were subjected to the routine haematoxylin-eosin stain and with the anti-CD117 immunohistochemically.
RESULTS: There is a high significant difference in CD117 expression between borderline and malignant groups (P = 0.001). Additionally, there was significant difference in expression in relation to histopathological type (serous versus non-serous) in low-grade and the high-grade ovarian surface epithelial tumours (p=0.04, p=0.035 respectively). Tumour grade and stage strongly correlates with CD117 expression (p=0.014, p=0.019 respectively).
CONCLUSION: We concluded that CD117 expression was significantly correlated with higher ovarian tumour grade and stage.
METHODS: We recruited adults in 30 countries covering all World Health Organization (WHO) regions from July 2020 to August 2021. 5 Likert-point scales were used to measure their perceived change in 32 aspects due to COVID-19 (-2 = substantially reduced to 2 = substantially increased) and perceived importance of 13 preparations (1 = not important to 5 = extremely important). Samples were stratified by age and gender in the corresponding countries. Multidimensional preference analysis displays disparities between 30 countries, WHO regions, economic development levels, and COVID-19 severity levels.
RESULTS: 16 512 adults participated, with 10 351 females. Among 32 aspects of impact, the most affected were having a meal at home (mean (m) = 0.84, standard error (SE) = 0.01), cooking at home (m = 0.78, SE = 0.01), social activities (m = -0.68, SE = 0.01), duration of screen time (m = 0.67, SE = 0.01), and duration of sitting (m = 0.59, SE = 0.01). Alcohol (m = -0.36, SE = 0.01) and tobacco (m = -0.38, SE = 0.01) consumption declined moderately. Among 13 preparations, respondents rated medicine delivery (m = 3.50, SE = 0.01), getting prescribed medicine in a hospital visit / follow-up in a community pharmacy (m = 3.37, SE = 0.01), and online shopping (m = 3.33, SE = 0.02) as the most important. The multidimensional preference analysis showed the European Region, Region of the Americas, Western Pacific Region and countries with a high-income level or medium to high COVID-19 severity were more adversely impacted on sitting and screen time duration and social activities, whereas other regions and countries experienced more cooking and eating at home. Countries with a high-income level or medium to high COVID-19 severity reported higher perceived mental burden and emotional distress. Except for low- and lower-middle-income countries, medicine delivery was always prioritised.
CONCLUSIONS: Global increasing sitting and screen time and limiting social activities deserve as much attention as mental health. Besides, the pandemic has ushered in a notable enhancement in lifestyle of home cooking and eating, while simultaneously reducing the consumption of tobacco and alcohol. A health care system and technological infrastructure that facilitate medicine delivery, medicine prescription, and online shopping are priorities for coping with future pandemics.
METHODS: The research was conducted by correlation method) using Structural Equation Modeling). The statistical population consisted of all women and men with type 2 diabetes. Two hundred fifty-three samples were selected by convenience sampling method. The participants responded to the Cognitive Emotion Regulation Questionnaire, the Kentucky inventory of mindfulness skills, and the Cognitive Flexibility Inventory.
RESULTS: The results showed that the total path coefficient between the adaptive cognitive emotion regulation strategies and mindfulness (β = 0.243, P = 0.005) was positive and significant, and the total path coefficient between the maladaptive cognitive emotion regulation strategies and mindfulness (β = -0.453, P = 0.001) was negative and significant. The path coefficient between cognitive flexibility and mindfulness (β = 0.273, P = 0.009) was positive and significant. The indirect path coefficient between the adaptive cognitive emotion regulation strategies and mindfulness (β = 0.094, P = 0.007) was positive and significant, and the indirect path coefficient between the maladaptive cognitive emotion regulation strategies and mindfulness (β = -0.117, P = 0.009) was negative and significant.
CONCLUSION: Improving emotion regulation skills increases cognitive flexibility and mindfulness in patients with type 2 diabetes.
METHODS: A cross-sectional study was carried out in the main city of Malaysia at a tertiary teaching hospital between January to April 2021. A total of 218 women diagnosed with endometriosis symptoms were recruited using the universal sampling method to answer the questionnaire.
RESULTS: The revised Malay version of the EHP-30 with 28 items demonstrated that the factor loading of the 28 items had an acceptable value range between 0.60-0.90. The model fit was acceptable after the inclusion of 28 items correlated errors of the root mean square of error approximation: 0.072, 90% confidence interval: [0.065-0.080], comparative fit index (0.939), Tucker-Lewis index (0.932), and Chi-square/degrees of Freedom (2.135). The Cronbach's alpha ranged from 0.89-0.97. Concurrent validity for the composite reliability was between 0.88-0.96, while the average variance extracted was between 0.65-0.74.
CONCLUSION: This revised Malay version of the EHP-30 is a reliable and valid tool that can be used for the next study.
METHODS: Waterpipe users, cigarette smokers, and never smokers were included. Demographic details were collected using a questionnaire. Characteristics of implants (dimensions, jaw location, depth of placement, insertion torque, and duration in function) were recorded. Peri-implant modified plaque and gingival indices (mPI and mGI), probing depth (PD), and crestal bone loss (CBL) were recorded in all groups. Volume of PISF and levels of AGEs were determined using standard techniques. Sample-size estimation was done on data from a pilot investigation, and correlation between clinicoradiographic and immunoinflammatory parameters was assessed using logistic regression models. Probability values
AIMS: We assessed the dietary intake of female Saudi Arabian adolescents living in Arar.
METHOD: In this randomised cluster study, female students were selected randomly from assigned schools to form the intervention (n = 68) and control (n = 70) groups. Initially, a 60-minute seminar was held for mothers of students in the intervention group. Subsequently, 6 90-minute sessions were held over 3 months for the intervention group on topics such as food groups, healthy and unhealthy eating, body image and physical activity. The data were analysed using generalized estimating equations.
RESULTS: The interaction effect (group by time) between the groups revealed statistically significant differences for dairy products (P < 0.001), sweetened beverages (P < 0.001), sweetened baked goods (P = 0.022) and fruits and vegetables (P < 0.003). The intervention significantly increased the intake of dairy products (P < 0.001) and fruits and vegetables (P = 0.003). It reduced the intake of sweetened beverages (P < 0.001) and sweetened baked goods (P = 0.010) in the intervention group.
CONCLUSION: This intervention showed a grater positive effect on the intervention than the control group; it increased dietary intake of dairy products, fruits and vegetables, and reduced intake of sweetened beverages and sweetened baked goods among the intervention group participants. We recommend similar nutrition interventions among other young Saudi Arabian population groups to prevent obesity and other diseases.