METHODS: Here, we describe clrDV, a statistical method for detecting genes that show differential variability between two populations. We present the skew-normal distribution for modeling gene-wise null distribution of centered log-ratio transformation of compositional RNA-seq data.
RESULTS: Simulation results show that clrDV has false discovery rate and probability of Type II error that are on par with or superior to existing methodologies. In addition, its run time is faster than its closest competitors, and remains relatively constant for increasing sample size per group. Analysis of a large neurodegenerative disease RNA-Seq dataset using clrDV successfully recovers multiple gene candidates that have been reported to be associated with Alzheimer's disease.
OBSERVATIONS: A total of four cases were reported. Three patients received the Pfizer-BioNTech vaccine, while the other received the Oxford AstraZeneca type. Ocular symptoms occurred after the first vaccine dose in two patients and after the second vaccine dose in the other two. Three out of four patients required active treatment for their vision complications postvaccination. The first patient had acute-onset retinal pigment epitheliitis within 3 h of vaccination and was treated conservatively. The second patient developed unilateral choroidal neovascularization 3 days after vaccination and required intravitreal antivascular endothelial growth factor injection. The third patient presented with bilateral acute multifocal placoid pigment epitheliopathy a week after vaccination and responded to intravenous methylprednisolone. The fourth patient presented with herpes zoster infection and unilateral anterior nongranulomatous uveitis 2 weeks after vaccination and was treated with oral acyclovir and topical corticosteroids. All patients reported some amount of visual recovery.
CONCLUSIONS AND IMPORTANCE: Visual symptoms and various ocular adverse events can occur following COVID-19 vaccination, which warrants further investigation and urgent intervention if necessary. We would suggest patients receiving the COVID-19 vaccination be aware of possible ocular complications and report any symptoms, regardless of severity.
METHODS: A three-month cross-sectional study was conducted using self-administered questionnaires, encompassing socio-demographic details, clinical characteristics, and the State-Trait Anxiety Inventory.
RESULTS: The mean age of the participants was 57 years old (SD ±10.098). Repeat mammograms consisted of 48.8% of the participants. One-third (35.7%) of them had a history of breast disease. Most participants (84.5%) did not have a positive family history of breast cancer. The proportion of participants with moderate and high anxiety levels was 41.8%. The cause of anxiety was mainly due to the fear of the results (69%), while familiarity with the procedure reduced anxiety among respondents. Socio-demographic and clinical factors were not significantly associated with anxiety levels. However, a statistically significant positive correlation was found between state and trait anxiety scores (r = 0.568, p = 0.001, n = 213).
LIMITATIONS: The urban setting and absence of questions on the location of origin in the study may have excluded data from the rural population. This may have prevented a true representation of the Malaysian population.
CONCLUSION: The findings suggest a better understanding of the procedures involved as well as the subsequent disease management would be beneficial in alleviating anxiety prior to, during, and post-mammogram.
OBJECTIVE: The objective of this study was to develop and validate an observation checklist for assessing the hygiene and sanitation of food preparation areas in preschools.
METHODOLOGY: The study was conducted in Kota Bharu Kelantan from March 2021 to February 2022. The development of the observation checklist was conducted in four stages: (1) the construction of domains and items from the existing literature, (2) content validation by six experts (using the item-level content validity index (I-CVI) and the scale-level content validity index (S-CVI), (3) face validation by 10 experts (using the item-level face validity index (I-FVI) and the scale-level face validity index (S-FVI)), and (4) reliability analysis (using the intercorrelation coefficient (ICC)). Four assessors performed the reliability analysis at two preschools.
RESULTS: The initial draft of the checklist contained three domains and 57 items: building and facility (10 subdomains and 38 items), process control (four subdomains and 12 items), and food handlers (one subdomain and seven items). The I-CVI scores for building and facility, process control, and food handlers were 0.97, 1.00, and 1.00, respectively, indicating good relevancy of items. The S-CVI value was 1.0 for all domains, showing good relevance of the items. The I-FVI above 0.8 and S-FVI values above 0.9 for all domains imply that the participants easily understood the checklist. The ICC for each domain was 0.847 (95% CI 0.716-0.902) for the building facility and 1.0 for process control and food handler, and the ICC for the three domains combined was 0.848 (95% CI 0.772-0.904). The final validated checklist consists of three domains with 57 items.
CONCLUSION: The newly developed observation checklist is a valid and reliable tool for assessing the hygiene and sanitation of preschool food preparation areas.
METHODS: We performed a bibliometric analysis of Web of Science Core Collection for all years to determine the number of studies performed in each country that used an inventory or a questionnaire on aggression, anxiety, depression, borderline personality, narcissism, self-harm, shame, or childhood trauma. We conducted a simple observational analysis of distributions by countries to derive the main overall conclusions, assisted by ChatGPT to test its ability to summarise and interpret this type of information. We also carried out a study in Croatia to examine some psychometric properties of five commonly used questionnaires, using Cronbach's α coefficient and zero-order correlations.
RESULTS: We observed a concentration of research activity in a few high-income countries, primarily the United States and several European nations, suggesting a robust research infrastructure and a strong emphasis on studying psychological and psychiatric states within their population. In contrast, low- and middle-income countries were notably under-represented in research on psychological and psychiatric states, although the gap seems to be closing in some countries. Turkey, Iran, Brazil, South Africa, Mexico, India, Malaysia and Pakistan have been consistently contributing an increasing number of studies and catching up with the most research-intensive high-income countries. The national case study in Croatia confirmed adequate psychometric properties of the most frequently used questionnaires.
CONCLUSIONS: Addressing research gaps in low- and middle-income countries is crucial, because relying solely on research from high-income countries may not fully capture the nuances of psychological and psychiatric states within diverse populations. To bridge this gap, it is essential to prioritise mental health research in low-resource settings, provide training and resources to local researchers, and establish international collaborations. Such efforts can lead to the development of culturally valid questionnaires, an improved understanding of psychological and psychiatric states in diverse contexts, and the creation of effective interventions to promote mental well-being on a global scale.
AIMS: The present study aimed to examine the fit of different measurement models for the AUDIT and its measurement invariance across a wide range of subgroups by country, language, gender, and sexual orientation.
METHODS: Responses concerning past-year alcohol use from the participants of the cross-sectional International Sex Survey were considered (N = 62,943; Mage: 32.73; SD = 12.59). Confirmatory factor analysis, as well as measurement invariance tests were performed for 21 countries, 14 languages, three genders, and four sexual-orientation subgroups that met the minimum sample size requirement for inclusion in these analyses.
RESULTS: A two-factor model with factors describing 'alcohol use' (items 1-3) and 'alcohol problems' (items 4-10) showed the best model fit across countries, languages, genders, and sexual orientations. For the former two, scalar and latent mean levels of invariance were reached considering different criteria. For gender and sexual orientation, a latent mean level of invariance was reached.
CONCLUSIONS: In line with the two-factor model, the calculation of separate alcohol-use and alcohol-problem scores is recommended when using the AUDIT. The high levels of measurement invariance achieved for the AUDIT support its use in cross-cultural research, capable also of meaningful comparisons among genders and sexual orientations.