Yoxas/statistical_literacy huggingface dataset:
Over the past years, the evaluation and accountability of universities and higher education institutions in regard to the realization of their goals and the implementation of the expected performance have turned into a major issue, and those who benefit from or are relevant to the higher education system have placed a special emphasis on the use of evaluation mechanisms. The current study aimed to determine the quality of the medical curriculum approved in 2017 based on the Kano model. The study used cross-sectional and descriptive survey designs. The statistical population included all students of medicine at Tabriz University of Medical Sciences in the academic year 2022/2023. Based on Morgan's table, 240 students were selected using convenience sampling method. Field data collection and researcher-made questionnaires were used to collect data. The questionnaires were presented to interested and available students in person and online through a link. To analyze the data, paired one-sample t test was used with the help of SPSS 16.0 software and Kano's matrix. The findings of the study showed that students' expectations in the elements of Aker were more than their perceptions, and this difference was more in the elements of logic with the Mean±Standard Deviation of (16,09±2,02; 8,53±2,18), content with Mean±SD (19,62±2,46; 9,47±2,00), teaching and learning strategies with Mean±SD of (15,85±2,14; 7,36±1,89), teaching and learning activities with Mean±SD of (23,38±3,10; 11,50±2,68), and time and place of learning with Mean±SD (12,09±1,53; 5,46±1,43). Also, after examining the Kano matrix, it was found that the most felt needs of the students in the classification of the Kano model were among the mandatory needs. Therefore, it can be concluded that the curriculum of medicine in implementation (perception) stage does not accord with the expectations of the students, and it is necessary to pay attention to the needs and expectations of the students.
Over the years, epidemiological surveys have established that the five leading cancers in Africa (in descending order of prevalence) are cancers of the breast, cervix, prostate, liver, and colorectum. [1] However, a 10-year retrospective review of cases performed at the University of Ilorin Teaching Hospital (UITH) revealed some changes in the cancer incidence pattern in this region. The aim of the study was to determine the distribution of cancers managed at the UITH, a tertiary health care center in North Central Nigeria, in the past 10 years and create awareness of changing cancer prevalence patterns in this region. This was a retrospective review of cancer epidemiology at UITH over a period of 10 years. Confirmed cancer cases within this period were extracted from the data in the Department of Anatomic Pathology and the Cancer registry. Descriptive and inferential statistics were applied to obtain rates and proportions for both sexes. There were 2430 confirmed cases of cancer during the study period from January 2011 to December 2020. Out of these cases, 1310 (54%) were seen in females and 1120 (46%) were seen in males. The most common cancer recorded (in total) was prostate cancer, which accounted for 18% of all cases, constituting approximately one in six of all cancer cases. This was followed closely by breast cancer (16.6%). The most commonly diagnosed cancer in males was prostate cancer (four in ten cancer cases in males), whereas in females, it was breast cancer (approximately three in ten cancer cases in females). Cancers of the lungs and liver were rare in both sexes in this study. In children, the most common malignancies were retinoblastoma (38.3%), non-Hodgkin lymphomas (16.8%), and nephroblastoma (12.8%). There is a changing trend in cancer cases with some cancer cases now predominating compared to previous years. This may be because of increased awareness and/or better medical screening and diagnostic techniques.
Overall performance of machine learning-based prediction models is promising; however, their generalizability and fairness must be vigorously investigated to ensure they perform sufficiently well for all patients. This study aimed to evaluate prediction bias in machine learning models used for predicting acute postoperative pain. We conducted a retrospective review of electronic health records for patients undergoing orthopedic surgery from June 1, 2011, to June 30, 2019, at the University of Florida Health system/Shands Hospital. CatBoost machine learning models were trained for predicting the binary outcome of low (≤4) and high pain (>4). Model biases were assessed against seven protected attributes of age, sex, race, area deprivation index (ADI), speaking language, health literacy, and insurance type. Reweighing of protected attributes was investigated for reducing model bias compared with base models. Fairness metrics of equal opportunity, predictive parity, predictive equality, statistical parity, and overall accuracy equality were examined. The final dataset included 14,263 patients [age: 60.72 (16.03) years, 53.87% female, 39.13% low acute postoperative pain]. The machine learning model (area under the curve, 0.71) was biased in terms of age, race, ADI, and insurance type, but not in terms of sex, language, and health literacy. Despite promising overall performance in predicting acute postoperative pain, machine learning-based prediction models may be biased with respect to protected attributes. These findings show the need to evaluate fairness in machine learning models involved in perioperative pain before they are implemented as clinical decision support tools.
Overconsumption of energy dense, nutrient poor foods and beverages is a major problem globally. This study describes what and how Australian adults consume and are willing to change their intake in terms of discretionary food and beverage categories. Cross-sectional data were collected via the CSIRO Junk Food Analyser. This online tool contains short questions on discretionary food and beverage consumption, and items relating to stage of and willingness and strategies to reduce discretionary food and beverage intake. Analyses focussed on describing discretionary intake, adherence to guidelines and the prediction of willingness to change discretionary food intake amongst those exceeding guidelines. In 2021, 41,109 Australian adults completed the CSIRO Junk Food Analyser. Participants were mostly female (73.1%) and aged 31-70 years (78.9%). Most participants exceeded dietary guidelines for discretionary food and beverage intake (67.4%, 27,694/41,109) with 40% reporting actively trying to reduce intake. Most people exceeding guidelines did so in categories of alcohol (39.3%) and cakes and biscuits (21.0%). Yet, willingness to change intake was lowest for alcohol (median, IQR of 3, 2:4 out of 5). Almost half of the participants were willing to try 'having a few days off per week' (46.0%), while only 13.4% were willing to try to 'eliminate' their highest ranked category. Australian adults are willing to reduce their discretionary food and beverage intake, but simply targeting the foods and beverages consumed most may not be the best place to start. Messages encouraging days off frequently consumed discretionary foods and beverages may be well received.
Overdose deaths in the United States rose substantially during the COVID-19 pandemic. Disruptions to the drug supply and service provision introduced significant instability into the lives of people who use drugs (PWUD), including volatility in their drug use behaviors. Using data from a multistate survey of PWUD, we examined sociodemographic and drug use correlates of volatile drug use during COVID-19 using multivariable linear regression. In a multivariable logistic regression model, we assessed the association between volatile drug use and past month overdose adjusting for sociodemographic and other drug use characteristics. Among participants, 52% were male, 50% were white, 29% had less than a high school education, and 25% were experiencing homelessness. Indicators of volatile drug use were prevalent: 53% wanted to use more drugs; 45% used more drugs; 43% reported different triggers for drug use, and 23% used drugs that they did not typically use. 14% experienced a past-month overdose. In adjusted models, hunger (β=0.47, 95% CI: 0.21-0.72), transactional sex (β=0.50, 95% CI: 0.06-0.94), and the number of drugs used (β=0.16, 95% CI: 0.07-0.26) were associated with increased volatile drug use. Volatile drug use was associated with increased overdose risk (aOR=1.42, 95% CI: 1.17-1.71) in the adjusted model. Volatile drug use during the COVID-19 pandemic was common, appeared to be driven by structural vulnerability, and was associated with increased overdose risk. Addressing volatile drug use through interventions that ensure structural stability for PWUD and a safer drug supply is essential for mitigating the ongoing overdose crisis.
Overdose rates in rural areas have been increasing globally, with large increases in the United States. Few studies, however, have identified correlates of non-fatal overdose among rural people who use drugs (PWUD). The present analysis describes correlates of nonfatal overdose among a large multistate sample of rural PWUD. This is a cross-sectional analysis of data gathered via surveys with PWUD recruited through seven Rural Opioid Initiative (ROI) sites. Descriptive analyses were conducted to assess the prevalence of past 30-day overdose. Generalized estimating equations were used to estimate a series of multivariable models quantifying relationships of select factors to past-month overdose; factors were selected using the Risk Environment Framework. The multisite sample included 2711 PWUD, 6% of whom reported overdosing in the past 30 days. In the fully adjusted model, houselessness (AOR=2.27, 95%CI[1.48, 3.48]), a positive test result for Hepatitis C infection (AOR=1.73 95%CI[1.18, 2.52]) and heroin/fentanyl use (AOR= 8.58 95%CI [3.01, 24.50]) were associated with an increased risk of reporting past 30-day overdose, while having a high-school education or less was associated with reduced odds of overdose (AOR=0.52, 95% CI[0.37, 0.74]). As in urban areas, houselessness, Hepatitis C infection, and the use of heroin and fentanyl were significant correlates of overdose. Widespread access to overdose prevention interventions - including fentanyl test strips and naloxone - is critical in this rural context, with particular outreach needed to unhoused populations, people living with Hepatitis C, and people using opioids.
Overnutrition among adolescents is becoming a major public health concern, with all the adverse consequences associated with unhealthy eating behaviors. Hence, clear evidence linking dietary consumption with the risk of overnutrition is crucial for targeted dietary recommendations using a robust statistical approach. This study assessed the link between dietary consumption patterns and the risks of overnutrition among adolescents in Ethiopia. A community-based survey was conducted on a random sample of 510 adolescents selected using a stratified random sampling via proportional allocation. Dietary consumption was captured using a validated and contextualized 80-item food frequency questionnaire over the past month through a face-to-face interview. Weight and height were measured under a standard procedure. Body Mass Index for Age Z-score (BAZ) was calculated, and BAZ above +1 was considered overnutrition. The frequency measures were standardized into daily equivalents, and dietary patterns were derived using exploratory factor analysis after checking for assumptions. A bivariable and multivariable binary logistic regression model was fitted with an odds ratio and 95% confidence intervals. A total of 510 participants were enrolled. Four major dietary patterns ("cereals, energy, and discretionary calory," "fat, oil, and milk groups," "proteins and vegetables," and "fruits"), explaining 66.6% of the total variation, were identified. The overall prevalence of overnutrition was 29.0% (27-31%), where 22.5 and 6.5% were overweight and obese, respectively. Physical inactivity (AOR = 6.27; 95% CI: 2.75-14.3), maternal literacy (AOR = 111.3; 95% CI: 50.0-247.8), habit of snacking (AOR = 1.80; 95% CI: 0.69-4.67), skipping meals (AOR = 2.05; 955 CI: 0.84-5.04), cereals and discretionary food dietary pattern (AOR = 2.28; 95 CI: 0.94-5.55), and protein-rich and vegetable dietary pattern (AOR = 2.30; 95% CI: 0.97-5.46) were important factors associated with odds of overnutrition. Overnutrition is a public health concern affecting one-third of adolescents, and it is closely linked with dietary consumption patterns, eating behaviors, wealth status, literacy, and level of physical activity. Therefore, public health interventions targeting unhealthy eating and lifestyles are urgently needed to curb the increasing burden of overnutrition among adolescents and its future complications.
Overuse of medical care is a pervasive problem. Studies using hypothetical scenarios suggest that physicians' risk literacy influences medical decisions; real-world correlations, however, are lacking. We sought to determine the association between physicians' risk literacy and their real-world prescriptions of potentially hazardous drugs, accounting for conflicts of interest and perceptions of benefit-harm ratios in low-value prescribing scenarios. Cross-sectional study-conducted online between June and October 2023 via field panels of Sermo (Hamburg, Germany)-with a convenience sample of 304 English general practitioners (GPs). GPs' survey responses on their treatment-related risk literacy, conflicts of interest and perceptions of the benefit-harm ratio in low-value prescribing scenarios were matched to their UK National Health Service records of prescribing volumes for antibiotics, opioids, gabapentin and benzodiazepines and analysed for differences. 204 GPs (67.1%) worked in practices with ≥6 practising GPs and 226 (76.0%) reported 10-39 years of experience. Compared with GPs demonstrating low risk literacy, GPs with high literacy prescribed fewer opioids (mean (M): 60.60 vs 43.88 prescribed volumes/1000 patients/6 months, p=0.016), less gabapentin (M: 23.84 vs 18.34 prescribed volumes/1000 patients/6 months, p=0.023), and fewer benzodiazepines (M: 17.23 vs 13.58 prescribed volumes/1000 patients/6 months, p=0.037), but comparable volumes of antibiotics (M: 48.84 vs 40.61 prescribed volumes/1000 patients/6 months, p=0.076). High-risk literacy was associated with lower conflicts of interest (ϕ = 0.12, p=0.031) and higher perception of harms outweighing benefits in low-value prescribing scenarios (p=0.007). Conflicts of interest and benefit-harm perceptions were not independently associated with prescribing behaviour (all ps >0.05). The observed association between GPs with higher risk literacy and the prescription of fewer hazardous drugs suggests the importance of risk literacy in enhancing patient safety and quality of care.
Overweight and obesity pose a global public health challenge and have a multifactorial origin. One of these factors includes obesogenic environments, which promote ultraprocessed foods characterized by being high in calories, saturated fats, added sugars, and sodium. In Mexico, it has been estimated that 30% of the total energy consumed comes from processed foods. The Modification to the Official Mexican Standards introduces nutritional information through black octagonal seals that alert consumers about products with excessive amounts of some components for a better food selection in the population. However, the effects of warning labels on processed food selection and purchases among children remain unknown. We aimed to evaluate the impact of a digital educational intervention focusing on front-of-package warning labels on the food selection and purchasing behavior of elementary schoolchildren and their caregivers. Children from 4 elementary schools in Mexico City, 2 public and 2 private schools, will participate in a randomized controlled trial. The schools will be chosen by simple random sampling. Schools will be randomized into 2 groups: intervention and control. In the control group, the dyads (caregiver-schoolchildren) will receive general nutritional education, and in the intervention group, they will receive guidance on reading labels and raising awareness about the impact of consuming ultraprocessed products on health. The educational intervention will be conducted via a website. Baseline measurements will be taken for both groups at 3 and 6 months. All participants will have access to an online store through the website, allowing them to engage in exercises for selecting and purchasing food and beverages. In addition, other measures will include a brief 5-question exam to evaluate theoretical understanding, a 24-hour reminder, a survey on food habits and consumption, application of a food preference scale, anthropometric measurements, and recording of school lunch choices. Registration and funding were authorized in 2022, and we will begin data collection in September 2024. Recruitment has not yet taken place, but the status of data analysis and expected results will be published in April 2025. The study is expected to contribute to evaluating whether reinforcing front-of-package warning labels with education enhances its effects and makes them more sustainable. Conducting this study will allow us to propose whether or not it is necessary to develop new intervention strategies related to front-of-package labeling for a better understanding of the population, improved food choices, and better health outcomes. ClinicalTrials.gov NCT06102473; https://clinicaltrials.gov/study/NCT06102473. PRR1-10.2196/54783.
Owing to everyday educational activities, academic advisors often have to deal with mental health problems among students. Therefore, their mental health literacy must be assessed to determine whether they can detect mental health problems when working with the students. This study aimed to assess health sciences academic advisors' mental health literacy and their experiences dealing with university students facing mental health challenges. A cross-sectional descriptive study was undertaken among a convenience sample of 133 health sciences academic advisors at the medical campus of a public university in Jeddah, Saudi Arabia. An electronic self-administered questionnaire using the Mental Health Literacy Scale (MHLS) was used to appraise participants' recognition, knowledge, and attitudes toward ways to solve mental health difficulties. Data collection was completed from November 2020 to February 2021. Descriptive statistics, Student's t-test for independent samples, One-Way Analysis of Variance (ANOVA), and Tukey's test were selected for data analysis. Academic advisors were found to be highly literate about matters of mental health. The mean mental health literacy score was statistically significantly higher in those advisors who were lecturers, assistant professors, associate professors, and professors (p <0.001). Additionally, the mean scores were significantly higher among advisors with a teaching role of lecturer rather than those who did not have the teaching role of a clinical supervisor (t = -2.331; p = 0.021). The academic advisors had an elevated level of mental health literacy, and the highly experienced academic advisors could deal better with students having mental health problems. Hence, it is essential to continue to provide educational programs and training on mental health literacy to academic advisors, as it helps them identify the signs of mental health complications. Furthermore, it improves their skills and confidence when they offer student support in coping with mental health issues.
Owing to the COVID-19 pandemic, the summer of 2020 saw face-to-face teaching replaced by online teaching. The question arose as to how digitalisation may be implemented meaningfully. The views of lecturers and students on past online programmes were gathered in order to identify potential and future prospects. An exploratory, guidelines-based interview study was conducted during the clinical phase of the medicine degree at the Faculty of Medicine in Würzburg. Five lecturers and five students were interviewed in the winter semester of 2020/21. This was followed by a content analysis evaluation according to Kuckartz, with the help of MAXQDA. Online teaching offers more flexibility and security for the future. Hybrid formats (e.g., blended learning) are in demand. While theoretical knowledge can be taught online, face-to-face teaching remains essential in practical training. Digital elements must be developed didactically and anchored in the curriculum. Interaction and direct feedback between students and lecturers are key aspects of this. Online teaching in medicine offers numerous potentials and didactic design options that can improve the degree programme in a competency-based manner. Combined teaching formats are particularly effective in this regard. Fittingly conceived, multimedia teaching formats enable students to approach their studies in a focused manner. The points raised during the interviews correspond with the fundamental principles of the ARCS model, which was developed to strengthen continuous motivation in students. Well-thought-out design and integration of online teaching can contribute to attractive, efficient, and future-oriented teaching/learning activities. Decisive factors are the collaboration of everyone involved and adequate provision of both time and financial resources.
Oxidant and antioxidant components in saliva play an essential role in caries development. The purpose of the current study was to disclose the interactive effect of salivary protein carbonyl (PC), total glutathione (GSH), pH, and flow rate on root caries severity. The control and study groups consisted of 90 older adults of both genders classified into six groups: normal salivary flow rate with no root caries (control), normal salivary flow rate with incipient root caries, normal salivary flow rate with shallow root caries, hyposalivation with no root caries, hyposalivation with incipient root caries, and hyposalivation with shallow root caries. Each group consisted of 15 older adults. The study participants were selected from those patients who attended the teaching hospital at the College of the Dentistry/University of Baghdad and fit the study's criteria. Unstimulated saliva was collected. Both salivary pH and flow rate were determined immediately. After that, saliva was subjected to biochemical analysis to determine PC and total GSH levels colorimetrically. Root surface caries was diagnosed clinically using the Root Caries Index. Data were statistically analyzed using descriptive statistics, two-way univariate analysis of variance, two-way multivariate analysis of variance, and Pearson's correlation coefficient (α = 5%). Salivary total glutathione revealed a significant interactive effect with salivary flow rate and root decay severity. Levels of salivary total GSH were significantly higher in subjects with shallow root caries than those with incipient root caries; no root caries levels of salivary PC were significantly high in the hyposalivation group, but no correlation with caries severity was found. High root caries severity was found to be associated with reduced salivary pH and flow rate. A significant interactive effect was recorded for salivary flow rate, pH, and total GSH on root caries severity except for salivary PC.