Yoxas/statistical_literacy huggingface dataset:
One of the features associated with schooling and formal education is their decontextualized nature, a characteristic that has been related to the advancement of logical abstract thinking. The aim of this study was to compare and contrast self-portraits through the graphical representations and verbal explanations made by young indigenous people from the Altos de Chiapas with different educational levels ranging from primary school to university. Participants were of the same age. The results show the abstract nature (as opposed to the concrete character) of some of the self-portraits made by the group of university students and the prevalence of individual aspects (rather than social contextual factors) especially within this same group.
One of the key factors affecting women's behavior with fertility issues is their health literacy, but this topic has been less addressed in the existing studies. We aimed to determine the relationship between reproductive health literacy and components of healthy fertility in women of reproductive age. This cross-sectional study was conducted from March 2019 to September 2014 on 230 married women who were referred to comprehensive health centers in Lordegan city. Data were collected using a reproductive health literacy questionnaire, demographic and fertility information checklist, and components of healthy fertility. Data analysis was done using SPSS software, version 20. Pearson, Spearman, and independent t-tests were used as appropriate. The mean ± SD reproductive health literacy score in the participants was 43.80 ± 18.99 depicting an average literacy level in more than half of the women. Also, the reproductive health literacy score had a statistically significant relationship with the use of low-failure contraceptive methods (P < 0.001) and planned pregnancy (P = 0.03). However, this relationship was not significant regarding pre-pregnancy care (P = 0.88) and observing the interval between pregnancies (P = 0.57). We found a relationship between the level of reproductive health literacy and the use of family planning methods with low failure and planned pregnancy. Hence, it seems that interventions to improve reproductive health literacy are effective in reducing the occurrence of high-risk pregnancies and unwanted and unplanned pregnancies. Therefore, it is suggested that the health system consider and provide education related to reproductive health literacy as a part of healthy reproductive services.
One of the keys to preventing a re-emergence of the COVID-19 pandemic is the attainment and maintenance of high vaccination coverage in urban and rural areas. To estimate the coverage of COVID-19 vaccination in a rural population and identify the determinants of vaccination. A cross-sectional survey was conducted in April 2023 in 5 rural districts of Sindh Province, Pakistan. From each district, 30 clusters (villages) were randomly selected, and 7 households were randomly sampled from each cluster using the 30/7 technique. Household members above 12 years of age were included. Vaccination status was categorized as non-vaccinated, partially vaccinated (either with 1 dose or without booster) and completely vaccinated (2 doses with 1 booster). Adjusted odds ratios with 95% confidence intervals using multinomial logistic regression were computed to determine the factors associated with partial and complete vaccination. Data was analysed using SPSS version 20. Among the 3545 individuals surveyed across 1050 households, 25.9% were not vaccinated, 55.0% were partially vaccinated, and 19.1% were fully vaccinated. Younger age, lack of formal education and residing in flood-affected districts were significantly negatively associated with being vaccinated, while living at <5 km from a vaccination facility was significantly positively associated with partial and complete vaccination. Residents of Dadu (OR=0.03, 95% CI=0.01-0.04), Jamshoro (OR=0.05, 95% CI=0.03-0.08), Hyderabad (OR=0.03, 95% CI=0.02-0.05), and Tando Allahyar (OR=0.09, 95% CI=0.05-0.15) districts were significantly less likely to be completely vaccinated than those in Tharparkar. The most common reasons for not being vaccinated were, the perception that COVID-19 is mild (34.5%), fear of side-effects (22.7%), unavailability of the vaccine (19.8%), and fear of acquiring COVID-19 infection through the vaccine (15.8%). Vaccination coverage was low in some of the districts, particularly the flood-affected districts, mainly due to certain myths. There is a need for community outreaches to debunk myths about COVID-19 vaccination among these rural populations.
One of the leading health indicators during the COVID-19 crisis is health literacy and health-promoting behaviors. The present study aimed to investigate health literacy and health-promoting behaviors among women hospitalized during the COVID-19 pandemic in the southern part of Iran in 2020. This descriptive-analytical study encompassed 465 women hospitalized and treated in none teaching hospitals affiliated with the Shiraz University of Medical Sciences. Data collection tools were the Health Literacy for Iranian Adults (HELIA) and Health Promoting Lifestyle Profile II (HPLP-II). The collected data were analyzed using descriptive and inferential statistical methods. The mean scores of the participants' "health literacy" and "health-promoting behaviors" were 64.41 ± 11.31 and 112.23 ± 16.09, respectively, indicating the poor level of health literacy and the average level of health-promoting behaviors. Moreover, there was a significant direct correlation between health literacy and health-promoting behaviors (P < 0.001, r = 0.471). Furthermore, all health literacy dimensions of comprehension (P < 0.001), accessibility (P < 0.001), reading skills (P < 0.001), evaluation (P = 0.002), and decision making and behavior (P = 0.003) were detected as the predictors of health-promoting behaviors. Further, statistically significant relationships were noticed between the mean score of health literacy with age (r = - 0.327, P = 0.007), level of education (F = 3.119, P = 0.002), and place of residence (t = 2.416, P = 0.004) and between health-promoting behaviors with level of education (F = 3.341, P = 0.001) and marital status (F = 2.868, P = 0.02). According to the findings, health policymakers should adopt national measures for educational planning to promote health literacy and support health-promoting behaviors to encourage women to adopt a healthy lifestyle.
One of the main health problems in many societies is the increased opium abuse, which was found to be correlated with many problems like cardiovascular disease. This study aimed to evaluate the correlation of opium use with blood lipoproteins as the risk factor of CVD. This was a cross-sectional study conducted on participants of the first phase of the PERSIAN Cohort study who were aged between 35 and 70 years old. Demographic characteristics; history of smoking, alcohol, and opium consumption; medical history; and medications were asked and the related checklists were filled out. The levels of physical activity and fat intake were also registered. As well, lipoprotein profiles were investigated by blood sampling. The linear and logistic regression was used to analyze the relationship between opium and lipid profile and the statistical significant level was considered as < 0.05. Among 9300 participants with a mean age of 48.06 ± 9.44 years old, 49.6% of them were men. About 24.1% of the participants used opium. In the linear regression models, unlike TG (β = 2.2, p = 0.36), total cholesterol (β = - 2.5, p = 0.02), LDL (β = - 2.0, p = 0.04), and HDL (β = - 1.0, p = 0.04) were significantly lower in people who used opium compared to the others. In the logistic regression models, abnormal level of LDL (OR = 0.78, p = 0.003) and total cholesterol (OR = 0.82, p = 0.008) were less in people who used opium compared to the others. This study showed that there is a correlation between opium usage and lower levels of total cholesterol and LDL; however, the lower level of HDL in normal range was seen in opium users. Considering the current evidences, most of them showed the increased risks of ischemic heart disease, heart attack, hypertension, cerebrovascular disease, and cancer in opium users. Therefore, Healthcare providers and patients should be noticed about the deleterious effects of opium consumption on various vascular events. In addition, it is necessary for managers and policy makers of the health care system to take the necessary measures to raise the level of awareness and health literacy of the general public about the high-risk side effects of opium use and to take necessary and effective strategies to prevent and reduce its use.
One of the main threats to public health today is antibiotic resistance. This resistance leads to the persistence of infections in the body. It poses an increased risk of transmission to humans and animals through various routes, such as food, water, and the environment. This study aimed to ascertain the overall prevalence of knowledge, attitudes, and practices regarding antimicrobial resistance in Africa. A systematic review and meta-analysis of published and unpublished studies was conducted in Africa according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Searches were conducted using appropriate search terms in PubMed, Web of Science, Science Direct, Google Scholar, African Journals Online, and the Cochrane Library. Data were extracted using Microsoft Excel, and STATA version 14 was used for analysis. Publication bias was checked by funnel plot, Egger, and Begg regression tests. A p-value of 0.05 was regarded to indicate potential publication bias. Using I2 statistics, the heterogeneity of the studies was evaluated. Using forest plots, the random effect model was used to present the pooled prevalence with a 95% confidence interval (CI) of meta-analysis. This review included 39 studies, with 18,769 study participants. Among these 39 studies, 38 were on knowledge assessment, 28 on attitude assessment, and 25 on good practice assessment towards antimicrobial resistances. The overall pooled prevalence level of knowledge regarding antimicrobial resistance in Africa was 55.33% (95% CI: 47.48, 63.18). The overall pooled prevalence of positive attitudes toward antimicrobial resistance in Africa was 46.93% (95% CI: 35.10, 58.76), and the overall pooled prevalence of good practice of antimicrobial resistance in Africa was 51.05% (95% CI: 45.24, 56.87). In addition, sub-group statistical analysis was performed in this meta-analysis, stratified by population sub-region and study design types. In Africa, the pooled prevalence of knowledge, attitudes, and practices regarding antimicrobial drug resistance among different groups, including the general population, patients, tertiary school students, healthcare workers, and animal owners was found to be low level. Therefore, it is imperative to enhance the education and training programs regarding antibiotic resistance for various groups including the general public, patients, students, healthcare workers, and individuals responsible for the well-being of animals.
One of the most astonishing features of human language is its capacity to convey information efficiently in context. Many theories provide informal accounts of communicative inference, yet there have been few successes in making precise, quantitative predictions about pragmatic reasoning. We examined judgments about simple referential communication games, modeling behavior in these games by assuming that speakers attempt to be informative and that listeners use Bayesian inference to recover speakers' intended referents. Our model provides a close, parameter-free fit to human judgments, suggesting that the use of information-theoretic tools to predict pragmatic reasoning may lead to more effective formal models of communication.
One of the most common diseases affecting society around the world is kidney tumor. The risk of kidney disease increases due to reasons such as consumption of ready-made food and bad habits. Early diagnosis of kidney tumors is essential for effective treatment, reducing side effects, and reducing the number of deaths. With the development of computer-aided diagnostic methods, the need for accurate renal tumor classification is also increasing. Because traditional methods based on manual detection are time-consuming, boring, and costly, high-accuracy tests can be performed faster and at a lower cost with deep learning (DL) methods in kidney tumor detection (KTD). Among the current challenges regarding artificial intelligence-assisted KTD, obtaining more precise programming information and the capacity to group with high accuracy make clinical determination more vital and bring it to an important point for current treatment in KTD prediction. This encourages us to propose a more effective DL model that can effectively assist specialist physicians in the diagnosis of kidney tumors. In this way, the workload of radiologists can be alleviated and errors in clinical diagnoses that may occur due to the complex structure of the kidney can be prevented. A large amount of data is needed during the training of the developed methods. Although various studies have been conducted to reduce the amount of data with feature selection techniques, these techniques provide little improvement in the classification accuracy rate. In this paper, a masked autoencoder (MAE) is proposed for KTD, which can produce effective results on datasets containing some samples and can be directly fine-tuned and pre-trained. Self-supervised learning (SSL) is achieved through self-distillation (SD), which can be reintroduced into the configuration loss calculation using masked patches. The SD loss on the decoder and encoder outputs' latent representation is calculated operating SSLSD-KTD. The encoder obtains local attention, while the decoder transfers its global attention to calculate losses. The SSLSD-KTD method reached 98.04 % classification accuracy on the KAUH-kidney dataset, including 8400 samples, and 82.14 % on the CT-kidney dataset, containing 840 samples. By adding more external information to the SSLSD-KTD method with transfer learning, accuracy results of 99.82 % and 95.24 % were obtained on the same datasets. Experimental results have shown that the SSLSD-KTD method can effectively extract kidney tumor features with limited data and can be an aid or even an alternative for radiologists in decision-making in the diagnosis of the disease.
One of the most frequent reasons for children's poor physical and mental development is malnutrition, becoming a more significant issue in most developing nations, including Ethiopia. Prior research used multiple anthropometric measurements separately to pinpoint undernutrition concerns in children. However, the impact of each explanatory variable on a single response category was not considered in these investigations. This study used a single composite index of anthropometric parameters to identify the factors affecting elementary school students' nutritional condition. In Dilla, Ethiopia, 494 primary school students took part in a cross-sectional institutional survey during the 2021 academic year. Principal component analysis was used to create a single composite measure of nutritional status using z-scores for the anthropometric indices of height-for-age and body mass index-for-age. The relative effectiveness of a partial proportional odds model was compared with several other ordinal regression models to identify the important variables for children's nutritional status. 27.94% of primary school students were undernourished (7.29% severely and 20.65% moderately). According to the fitted partial proportional odds model, the mother's education level (secondary or higher) was positively correlated with the nutritional status of primary school students, given that in this case the students ate three or more times per day and had a high dietary diversity score (OR = 5.94; CI: 2.2-16.0). Nevertheless, there was a negative correlation between larger family size (OR = 0.56; CI: 0.32-0.97), unprotected groundwater (OR = 0.76; CI: 0.6-0.96), and severely food insecure households (OR = 0.3; CI: 0.14-0.68). In Dilla, Ethiopia, undernutrition among primary school students is a serious issue. It is essential to implement nutrition education and school feeding programs, improve drinking water sources, and boost the community's economy to alleviate the problems.
One of the most important aspects of nursing education and practice is clinical decision-making (CDM), which is also crucial to clinical competency. The study aimed to assess the CDM of undergraduate nursing students by using the CDM nursing scale. The study was cross-sectional and involved 315 nursing student participants. Data collection utilized the Clinical Decision-Making Scale, which comprises domains such as "canvassing of objectives and values," "search for alternatives or options," "evaluation and reevaluation of consequences," and "search for information and unbiased assimilation of new information." Statistical analyses included Pearson correlation, ANOVA, and independent t-tests. Data collection occurred during the second semester of 2023. The results indicated that the mean age of the students was 21.69 (SD = 1.6) years. In terms of gender, the majority were males, constituting 216 (68.6%) of the participants. Among the participants, 105 (33.3%) were from the second year, 108 (34.3%) from the third year, and 102 (32.4%) from the fourth year. The analysis revealed that the average CDM score was 129.8 (SD = 17.5). Additionally, examination of the subscales of CDM showed that the highest subscale score was for "search for information and unbiased assimilation of new information" (M = 33.1, SD = 5.3), while the lowest subscale score was for "search for alternatives or options" (M = 31.8, SD = 6.0). Furthermore, the analysis demonstrated a significant difference between academic year level and the mean CDM scores (p < .05), along with a positive relationship between the CDM score and students' age (r = .67, p = .001). The findings revealed that nursing students exhibit a moderate level of CDM. Moreover, it was revealed that students' CDM is influenced by both their age and academic year level.
One of the most important clinical teaching keys is the use of new evaluation that plays an essential role in strengthening the quality level of clinical skills students. Hence, the aim of this study was to determine the effect of smartphone clinical skills recording in the labor ward on satisfaction of midwifery students. This is a quasi-experimental study that was conducted on 60 midwifery students in the 8th semester was selected through the convenience sampling method. Clinical skills of labor ward recorded by two methods groups (smartphone and traditional). The satisfaction questionnaire was completed before and after by the two groups. Data were analyzed using the descriptive and inferential statistics through the SPSS version 22 software. Independent t-test showed that the satisfaction scores before intervention in both smartphone and traditional groups were not statistically significant (P = 0.126), whereas there was a significant difference between two groups after intervention (P = 0.002). The use of smartphone techniques in the labor ward can be effect in clinical skills recording among midwifery students.
One of the most prevalent pediatric medical conditions is attention-deficit/hyperactivity disorder (ADHD). It is characterized by symptoms of hyperactivity, impulsivity, and/or inattention. The first people to notice a child's ADHD symptoms are typically their teachers, who may then offer data that are typically helpful in its diagnosis. The purpose of this study was to assess teachers' knowledge of ADHD, its causes and etiology, as well as the key demographic factors that influence said knowledge. The study was conducted among schoolteachers of primary schools located in different regions of Makkah City, Kingdom of Saudi Arabia. We used a stratified random sampling technique to collect our sample, with the inclusion criteria being teachers who were working in a primary school and who were directly involved in teaching students. Data analysis was performed using the IBM SPSS Statistics software version 21. We received 335 responses to our questionnaire. The age of the participants ranged from 18 to 59 years, with the mean age being 40.2 ± 13.8 years. About 66.9% of teachers were women. Most of the teachers in this sample had a bachelor's degree (73.4%), and only 21.8% had diplomas. Regarding the years of teaching experience, 34.6% had teaching experience exceeding 20 years, whereas 20.6% had less than five years of teaching experience. Regarding general knowledge of the teachers, (5.4%) of the teachers had a good level of knowledge. Only 63.6% of teachers were aware that ADHD students frequently struggled with task and activity organization, and only 7.5% of teachers had good knowledge of ADHD treatment, compared to 40.9% who had a good awareness of symptoms and diagnosis. Only the teachers' education level was significantly associated with their knowledge level of ADHD: 25% of teachers with a postgraduate degree had an overall good level of knowledge versus 2.7% of those with a diploma (P = 0.006). The findings of this study lead to the conclusion that elementary school instructors have an inadequate understanding of ADHD. Some teachers misunderstand the signs and general facts associated with ADHD, thereby indicating the need for further training in this area.
One of the most utilized Stop the Bleed courses, the "Bleeding Control Basic (BCon) course v. 1.0," requires instructors to have a specific healthcare license or pre-hospital credential (e.g., physician or paramedic) or specific emergency medical services (EMS) instructor certification and have completed the BCon provider course. This requirement provides a level of expertise in instructors but limits the potential workforce for sharing life-saving knowledge and skills. Other Stop the Bleed courses, such as the American Red Cross First Aid for Severe Trauma (FAST) course, do not have this requirement. This raises questions pertaining to the learners' outcomes between those facilitated by instructors with and without healthcare licenses or credentials. Learners' outcomes for applying a tourniquet (skill), knowledge (cognitive), and Intention to Aid (attitude for behavior) were compared between those taught by lay instructors and EMS-trained (emergency medical technician or paramedic) instructors. All were trained as new instructors in the FAST program. For the study's primary outcome, all of the learners (n=135) properly applied a tourniquet to a simulated leg injury at the end of the training based on video evidence (skill). Learners in the EMS-trained instructor groups (n=84, mean age 25.5 years, 68% female), who were older and had more education, scored significantly higher on knowledge of tourniquet use on the Stop the Bleed Educational Assessment Tool (SBEAT) (mean=90.0 vs. 83.9 on a scale of 0-100, p=0.001) with a small effect size than the lay instructor group (n=51, mean age 16.6 years, 88% female). There was no statistical difference in attitude toward helping behaviors in a bleeding emergency between the two groups on the Intention to Aid (I2A) survey. Lay instructors and EMS-trained instructors performed comparably in facilitating a widely available Red Cross Stop the Bleed course. Lay experience with tourniquets should not disqualify individuals from being a Stop the Bleed instructor. Using a standard curriculum with instructor development offers a way for people with and without an EMS background to teach life-saving competencies effectively.