Yoxas/statistical_literacy huggingface dataset:
Developmental Language Disorder (DLD) [Also referred to as Specific Language Impairment (SLI)] and dyslexia are neurodevelopmental disorders which show similar behavioral manifestations. In this study, between-group comparisons and frequency analysis were combined to investigate the relationship between DLD and dyslexia. European Portuguese children aged 7-10 years, with DLD (N = 7) or dyslexia (N = 11) were recruited and compared to age-matched typically developing (TD) children (N = 21) on phonological processing, language andf literacy measures. The between-group comparison revealed that for phonological processing, the clinical groups scored significantly below TD children on most tasks, yet the DLD group performed similarly to TD children for RAN speed and digit span. The clinical groups did not statistically differ in their phonological processing abilities. For language abilities, children with dyslexia did not differ from TD children, whilst children with DLD performed significantly below TD children on all measures and significantly below children with dyslexia for vocabulary. Finally, for literacy measures, there were no statistical differences between clinical groups which underperformed on all measures when compared to TD children. The frequency analysis showed that children with DLD exhibited a lower prevalence of RAN difficulties when compared to children with dyslexia, whilst children with DLD tended to show more frequent nonword repetition and phoneme deletion deficits. Additionally, whilst children with DLD consistently showed more prevalent language impairments, both clinical groups demonstrated similar prevalence rates of literacy deficits compared to TD children.These findings lend support to the additional deficit model as children with DLD show more severe and prevalent language impairments than those with dyslexia, despite similar phonological and literacy difficulties.
Developments in deep learning have seen the use of layerwise unsupervised learning combined with supervised learning for fine-tuning. With this layerwise approach, a deep network can be seen as a more modular system that lends itself well to learning representations. In this paper, we investigate whether such modularity can be useful to the insertion of background knowledge into deep networks, whether it can improve learning performance when it is available, and to the extraction of knowledge from trained deep networks, and whether it can offer a better understanding of the representations learned by such networks. To this end, we use a simple symbolic language-a set of logical rules that we call confidence rules-and show that it is suitable for the representation of quantitative reasoning in deep networks. We show by knowledge extraction that confidence rules can offer a low-cost representation for layerwise networks (or restricted Boltzmann machines). We also show that layerwise extraction can produce an improvement in the accuracy of deep belief networks. Furthermore, the proposed symbolic characterization of deep networks provides a novel method for the insertion of prior knowledge and training of deep networks. With the use of this method, a deep neural-symbolic system is proposed and evaluated, with the experimental results indicating that modularity through the use of confidence rules and knowledge insertion can be beneficial to network performance.
Diabetes affects millions of people worldwide, making them more vulnerable to infections, including seasonal influenza. It is therefore particularly important for those suffering from diabetes to be vaccinated against influenza each year. However, influenza vaccination coverage remains low in this population. This review primarily aims to identify the determinants of influenza vaccination in people with diabetes (T1D or T2D). Secondly, it aims to assess main recommendations for influenza vaccination, vaccine effectiveness, vaccination coverage, and how education and pharmacists can encourage uptake of the vaccine in the diabetic population. A scoping review was conducted in January 2022 to systematically review evidence on influenza vaccination in people with diabetes using data from PubMed, Science Direct, and EM Premium with terms such as "Diabetes mellitus," "Immunization Programs," "Vaccination," and "Influenza Vaccines." Quality assessment and data extraction were independently conducted by two authors. Disagreements between the authors were resolved through discussion and consensus, and if necessary, by consulting a third author. Of the 333 records identified, 55 studies met the eligibility criteria for inclusion in this review. Influenza vaccination was recommended for people ≥6 months. Despite effectiveness evidence showing a reduction in mortality and hospitalizations in people with diabetes vaccinated vs. non-vaccinated ones, very few studies reported a coverage rate ≥ 75%, which is WHO's target objective. Determinants such as advanced age, presence of comorbidities and healthcare givers' advice were associated with increased vaccination uptake. On the contrary, fear of adverse reactions and concerns about vaccine effectiveness were significant barriers. Finally, education and pharmacists' intervention played a key role in promoting vaccination and increasing vaccination uptake. Influenza vaccination coverage in people with diabetes remains low despite recommendations and evidence on vaccine effectiveness. Motivators and barriers as well as several socio-demographic and clinical factors have been identified to explain this trend. Efforts are now needed to increase the number of diabetics vaccinated against influenza, mainly through education and the involvement of healthcare givers.
Diabetes and thyroid disorders are the two most common disorders amongst endocrine diseases. Uncontrolled diabetes mellitus (DM) may disturb thyroid metabolism by disturbing the levels of thyroid hormones in the plasma. This study was undertaken to determine the prevalence and thyroid dysfunction in type 2 diabetic population presenting in a public sector tertiary care teaching hospital. This descriptive cross-sectional study was conducted in Civil Hospital Karachi (CHK) in the department of medicine from October 01, 2018, to March 31, 2019. The study population consisted of 317 patients diagnosed with DM type 2 based on American Diabetes Association (ADA) criteria. Patients with fasting blood sugar ≥ 126 mg/dL, or HbA1c >6.5 (%), and 2 h postprandial blood glucose levels >200 mg/dL were included. After a minimum of 8 h of fasting, plasma samples of patients were collected and sent for fasting blood glucose, HbA1c, FT3, FT4, and thyroid-stimulating hormone (TSH). Descriptive statistics were calculated. Post-stratification Chi-squared test was applied, and a P value of ≤ 0.05 was considered significant. Among all enrolled DM type 2 patients, 207 (65.3%) were male with a mean age of 46.54 ± 8.72 years. Mean fasting blood sugar (FBS), random blood sugar (RBS), and HbA1c were 212.76 ± 26.91 (mg/dL), 328.89 ± 52.89 (mg/dL), and 9.43 ± 2.47 (%), respectively. The mean duration of DM was 7.81 ± 3.15 years. Mean FT3, FT4, and TSH were 113.13 ± 44.40 (ng/dL), 7.63 ± 3.11 (mg/dL) and 2.64 ± 2.57 (mIU/mL), respectively. In the present study, 55 (17.4%) patients had subclinical hypothyroidism, 27 (8.5%) had hypothyroidism, 19 (6.0%) had hyperthyroidism, and 16 (5.0%) had subclinical hyperthyroidism. Significant association of thyroid dysfunction was established with age group, female gender, and family history of thyroid dysfunction (P =< 0.001). The prevalence of thyroid dysfunction is higher among patients with type 2 diabetes mellitus (T2DM), in which hypothyroidism was the most common dysfunction with more prevalence among female patients.
Diabetes is a global public health problem, and the impact of air pollutants on type 2 diabetes mellitus (T2DM) has attracted people's attention. This study aimed to assess the association of short-term exposure to six criteria air pollutants with T2DM outpatient visits in Lanzhou, China. We collected data on daily outpatient visits for T2DM, daily meteorological data and hourly concentrations of air pollutants in Lanzhou from 2013 to 2019. An over-dispersed passion generalized addictive model combined with a distributed lag non-linear model was applied to estimate the associations and stratified analyses were performed by gender, age, and season. The models were fitted with different lag structures, including single lag days from the current to the previous seven days (lag0 to lag7) and moving average concentrations over seven lag days (lag01 to lag07). A positive association between multiple air pollutants, especially PM2.5, NO2, O38h and CO and hospital outpatient visits for T2DM was observed. The largest association between T2DM outpatient visits and PM2.5 was observed at lag06 (RR 1.013, 95% CI: 1.001, 1.027), NO2 at lag03 (RR 1.034, 95% CI: 1.018, 1.050), O38h at lag05 (RR 1.012, 95% CI: 1.001, 1.023) for an increase of 10 μg m-3 and CO at lag03 (RR 1.084, 95% CI: 1.029, 1.142) for an increase of 1 mg m-3 in the concentrations. In addition, people aged <65 and males are more susceptible, and air pollutants have a greater impact on the cold season. This study showed that although the air pollution in Lanzhou was improved, there was still a statistical correlation between air pollution exposure and T2DM outpatient visits. Therefore, the local government still needs to strengthen the control of air pollution and enhance the protection awareness of the diabetic population through education and publicity.
Diabetes is a worldwide chronic condition causing morbidity and mortality, with a growing economic burden on health care systems. Complications from poorly controlled diabetes are associated with increased socioeconomic costs and reduced quality of life. Smartphones have become an influential platform, providing feasible tools such as health apps to deliver tailored support to enhance the ability of patients with diabetes for self-management. Gro Health is a National Health Service division X-certified digital health tool used to deliver educational and monitoring support to facilitate the development of skills and practices for maintaining good health. This study aims to assess self-reported outcomes of the Gro Health app among users with diabetes and prediabetes and identify the factors that determine engagement with the digital health tool. This was a service evaluation of self-reported data collected prospectively by the developers of the Gro Health app. The EQ-5D questionnaire is a standardized tool used to measure health status for clinical and economic appraisal. Gro Health users completed the EQ-5D at baseline and 6 months after using the app. Users provided informed consent for the use of their anonymized data for research purposes. EQ-5D index scores and visual analogue scale (VAS) scores were calculated at baseline and 6 months for individuals with prediabetes and type 2 diabetes. Descriptive statistics and multiple-regression models were used to assess changes in the outcome measures and determine factors that affected engagement with the digital tool. A total of 84% (1767/2114) of Gro Health participants completed EQ-5D at baseline and 6 months. EQ-5D index scores are average values that reflect people's preferences about their health state (1=full health and 0=moribund). There was a significant and clinically meaningful increase in mean EQ-5D index scores among app users between baseline (0.746, SD 0.23) and follow-up (0.792, SD 0.22; P<.001). The greatest change was observed in the mean VAS score, with a percentage change of 18.3% improvement (61.7, SD 18.1 at baseline; 73.0, SD 18.8 at follow-up; P<.001). Baseline EQ-5D index scores, age, and completion of educational modules were associated with significant changes in the follow-up EQ-5D index scores, with baseline EQ-5D index scores, race and ethnicity, and completion of educational modules being significantly associated with app engagement (P<.001). This study provides evidence of a significant positive effect on self-reported quality of life among people living with type 2 diabetes engaging with a digital health intervention. The improvements, as demonstrated by the EQ-5D questionnaire, are facilitated through access to education and monitoring support tools within the app. This provides an opportunity for health care professionals to incorporate National Health Service-certified digital tools, such as Gro Health, as part of the holistic management of people living with diabetes.
Diabetes mellitus (DM) is a chronic metabolic disease characterized by elevated blood glucose levels. Over time, it can lead to serious complications in the eyes, heart, blood vessels, kidneys, and nerves, being the leading cause of blindness among working-age patients. This descriptive observational cross-sectional study aims to evaluate the factors affecting the awareness of the general adult diabetic population about their chronic disease and its complications. A survey was distributed anonymously among diabetic patients in different parts of Jordan over four months (January 2023-April 2023), targeting diabetic patients (DMT2 or adults DMT1). The link was sent via WhatsApp to willing candidates. Data collected included age, sex, region, education, home blood sugar (BS) testing, knowledge about cumulative blood sugar test (HbA1c), eye affection by DM, optician role, and doctor and nutritionist follow-up visits. A chi-squared test or Fisher's exact test explored the association between categorical data; a z-test was applied for column proportion differences. An alpha level of 0.05 was deemed statistically significant. IBM SPSS Statistics for Windows, Version 28 (Released 2021; IBM Corp., Armonk, New York) was used for data analysis. The sample comprised 447 diabetic adults aged 18-80 years. The majority were school-educated or school leavers (278; 62.2%); 20 (4.5%) held a master's or PhD degree. The largest group had DM for one to five years. Insulin was the sole treatment for 188 patients (42.1%), while oral hypoglycemic agents (OHA) were used by 170 patients (38%) as the only anti-DM medication. A total of 174 patients (38.9%) had never been seen by an ophthalmologist, and 153 (34.2%) believed an optometrist checkup suffices. Although 381 (85.2%) reported knowing DM affects the eyes, 272 (60.9%) believed they needed to see an ophthalmologist only when experiencing eye symptoms. Less than half (186; 41.6%) had an HbA1c reading of 7% or less. There was a significant correlation between education level and awareness of DM and diabetic retinopathy (DR): HbA1c, regular home BS checkups, early DR symptoms, and optometrist visits. Significant variations in awareness were noted across Jordan's major areas. Diabetics with abnormal HbA1c who visited a nutritionist were almost triple those who did not. The main information source about DM and DR was the treating physician for 298 (66.7%) respondents. Awareness of DM and DR in Jordan is not satisfactory for assisting patients in their long journey with minimal complications. A national awareness campaign utilizing social media and a sustainable screening program prioritizing the north, south, and middle regions of Jordan are needed.
Diabetes mellitus (DM) is a common chronic disease with serious individual and socioeconomic consequences. Low health literacy (HL) has been associated with higher morbimortality. Health knowledge about DM (HK-DM) may also influence individual health. We aimed to assess HL and HK-DM in patients with type 2 DM and their associations with metabolic control. Our sample comprised 194 diabetic patients from a primary care health centre. We collected clinical and demographic data and applied two validated questionnaires, the Newest Vital Sign (NST) and Diabetes Knowledge Test (DKT), to assess HL and HK-DM, respectively. Metabolic control was defined as HbA1c < 7.0%. Participants were classified according to the NST as having "high likelihood of limited HL" (HLL-HL), "possibility of limited HL" (PL-HL), or "adequate HL" (A-HL) and by the DKT as having "low", "average" and "good" HK. Statistical analysis included logistic regression models, using p < 0.05 as a cut-off for statistical significance. Overall, 72.7 and 34.7% of participants had HLL-HL and low HK-DM, respectively. A-HL (OR = 6.02; 95% CI: 1.691-21.450) and PL-HL (OR = 4.78; 95% CI: 1.350-16.899) were significantly associated with better metabolic control than HLL-HL. We did not find a significant association between HK-DM and metabolic control. HL seems to be associated with better metabolic control. We also found a high prevalence of illiteracy and scarce knowledge about DM. Primary care physicians should promote HL to help patients achieve better metabolic control.
Diabetes mellitus (DM) is a growing public health problem causing a significant amount of disability and mortality in Nigeria. Musculoskeletal disorders (MSDs) are common complications associated with DM. However, studies on the prevalence of MSDs and their associated factors are limited in Nigeria, particularly in the northwest region. The purpose of this study was to determine the prevalence of MSDs and their associated factors among individuals with DM in northwest, Nigeria. A retrospective cross-sectional survey of medical case records of all consecutive patients with DM attending a diabetic clinic in Ahmadu Bello University Teaching Hospital, Zaria was conducted between February 2015 and September 2021. Data on sociodemographic and clinical variables was collected using a researcher-designed questionnaire and analysed using descriptive statistics and logistic regression models. Four hundred eighty-nine cases (170 men [34.8%], 319 females [65.2%]; mean age: 51.4 ±12.3 years) were analysed. The majority of the participants had type 2 DM (96.7%), with a mean DM duration of 7.02 ±5.05 years. The overall prevalence of MSDs was 32.7%, with the highest prevalence found for lumbosacral spondylosis (11%) followed by knee osteoarthritis (8.4%). Among the different potential predictors examined, only duration of DM was significantly associated with overall MSDs (AOR: 1.76, 95% CI: 1.04-2.98; p = 0.035) whereas both duration of DM (AOR: 2.64, 95% CI: 1.19-5.89; p = 0.018) and body mass index (AOR: 7.461, 95% CI: 1.33-43.8; p = 0.023) were significantly associated with lumbosacral spondylosis. Approximately one-third of the study participants had MSDs, with lumbosacral spondylosis being the most frequently occurring disorder. Being obese and having a longer duration of DM were associated with MSDs. Clinicians in Nigeria need to pay attention to MSDs and related factors in DM patients by conducting routine assessments and implementing early treatment.
Diabetes Mellitus is a serious and expanding health problem, together with the issues of health- related quality of life (HRQoL). This further puts pressure on the government to allocate more funds for public healthcare. This study was devised to evaluate the health-related quality of life of people living with diabetes in Hail region of Saudi Arabia. This cross-sectional research was carried out at eight locations in the Hail region of Saudi Arabia between 21st March-20th May 2022 using the adapted version of the Euro QoL-5 dimension (EQ-5D-3L) questionnaire. A multistage random sample approach was used to choose the diabetes clinics, and data collectors approached the participants in the waiting areas to collect the information. The data were analyzed using logistic regression analysis, Mann-Whitney test, and Kruskal-Wallis tests in IBM SPSS statistics 21.0. The mean HRQoL score was 0.71±0.21 with a visual analog score of 68.4±16.2. Despite having much higher levels of quality of life in terms of self-care (85.8%), regular activity (73.8%) and anxiety (71.8%), nearly one half of the people reported moderate pain or discomfort, and more than one third reported having moderate mobility issues. In general, the quality of life for women was poorer than for men. Individuals with diabetes who were unmarried, young, educated, financially secure, and taking only oral medication had much improved HRQoL. The Euro QoL of people with diabetes patients were significantly influenced by gender, marital status, age, education, employment and treatment modality (p-values < 0.05), whereas only treatment modality had a significant impact on the patients' visual analogue measures (p-values < 0.05). The HRQoL of people with diabetes in Hail region was moderate in general, with pain and mobility issues being particularly prevalent. Gender, marital status, age, education, employment and type of medication therapy are significant predictors of HRQoL of patients with diabetes. Hence, planning and programs to enhance the HRQoL of people with diabetes, especially women is recommended.
Diabetes mellitus is often termed the modern epidemic, and India ranks second after China in the global disease burden. Practice and adherence to essential self-care behaviors, positively correlated with good glycemic control and reduced complications in people with diabetes, have been inadequately understood, especially in a semi-urban setting. This community-based interventional study was done among 269 known adult type 2 diabetic patients from a semi-urban community in South India for three months. By simple random sampling, known diabetics identified in the health survey by the tertiary care teaching institute were considered for the study. Self-care practices in diabetes were recorded in the pre-test using a validated semi-structured questionnaire. Two health education sessions, each for 30 minutes, were conducted with 15-20 subjects in a group. Health education materials on self-care in diabetes, such as charts, handouts, video clippings, and PowerPoint presentations in the local language, were used. The self-care practices were re-recorded in the post-test after two months. Inferential statistics were carried out with a t-test, analysis of variance (ANOVA), and Pearson correlation coefficient, and a p-value less than 0.05 was considered statistically significant. Results: A total of 253 diabetic subjects were included in the final analysis, with an attrition rate of 6%. The mean age of participants was 56.5 ± 11.9 years. The mean score of self-care practices among diabetic subjects at the baseline was 14.6 ± 13.2. Illiteracy and smoking habit were significantly associated with lower self-care scores in the pre-test. In the post-test, after health education, there was a significant improvement in the mean self-care practices score and a reduction in the mean fasting blood sugar level. Also, a significant mild negative correlation between the self-care scores and blood sugar levels was seen (Pearson correlation coefficient = -0.21, p < 0.001). Self-care practices, which were not satisfactory in most diabetic participants, were found to be significantly impacted by the small group education. This stresses the need for effective health education sessions as envisaged under the national program.