Yoxas/statistical_literacy huggingface dataset:
Poor growth and nutrition management in the neonatal period can have a negative impact upon both the short- and long-term outcomes for the infant. Improvements in bioelectrical impedance technology and accompanying licencing agreements now make this enhanced device available for use in infants as small as 23 weeks gestational age. An exploration of this technology and its use is now timely. The aim of the scoping review was to answer the following question: in preterm and sick term infants in the neonatal intensive care unit, how is bioelectrical impedance being utilized, in what situations, and when? The scoping review was conducted using Arksey and O'Malley's (Int J Soc Res Methodol 8(1):19-32, 2005) framework. Forty-nine papers were initially identified and 16 were included in the scoping review. Three studies were experimental designs, and 13 were observational studies. The review found that BIA was used in neonatal intensive care in three main ways, for, (1) fluid status evaluation, (2) as a measure of adequate nutrition and growth, (3) to validate the technology as an outcome measure in neonates. There is a paucity of recent robust research papers which investigate the use of bioelectrical impedance in preterm neonates. Available evidence spans a range of 30 years, with technological advancement reducing the application of older studies to the modern neonatal setting. Although this technology may be helpful for decision-making around fluid management and nutrition, in preterm infants, robust evidence is needed to demonstrate the clinical benefit of bioelectrical impedance beyond that of usual care. • Clinical decisions regarding neonatal nutrition and fluid management are currently based upon the interpretation of vital signs, fluid balance, weight trend, biochemical markers, and physical examination. • Bioelectrical Impedance Analysis (BIA) is a non-invasive method of assessing body composition which is now available to be used in infants as small as 23 weeks gestation. • Bioelectrical Impedance has been used in three main ways in the NICU, for fluid status evaluation, for measuring nutrition and growth and to validate BIA as an outcome. • There is a lack of recent robust research data to support the use of the device within clinical decision making in neonatal intensive care.
Poor knowledge of sexually transmitted infections (STIs) and HIV among people with HIV (PLHIV) could worsen life quality. We aimed to investigate their STI and HIV knowledge, disclosure and undetectable = untransmittable (U=U). We proposed an anonymous questionnaire regarding STI and HIV to PLHIV attending ten Italian outpatient infectious diseases clinics. Moreover, disclosure and U=U were investigated. The calculated sample size was 178 people. Considering a missing response of 10%, the final sample size was 196. We enrolled 200 PLHIV (73.5% males), with a median age of 52.5 (IQR 41-59) years. The mean score was 7.61 ± 1.22 with no difference by gender, education, and employment. Significant statistical difference was observed by sexual orientation; bisexuals and those who preferred not to answer had a lower score than heterosexuals and MSM (p = 0.0032). PLHIV showed poor knowledge about HIV transmission (25% appropriately answered). Nearly 30% responded that virologically suppressed PLHIV could transmit the infection. Finally, 137 (68.5%) and 158 (79.0%) disclosed to the general practitioner and family and friends, respectively. Nearly 52.0% knew the meaning of U=U, and 83.6% highlighted its positive rebound. In conclusion, important knowledge gaps are present among PLHIV regarding U=U, and its implications are little-known. Improving PLHIVs' awareness will undermine self-stigma and enhance life quality.
Poor oral health is common in nursing home residents, and health care professionals report numerous barriers when it comes to the provision of oral care for care-dependent older adults, such as a lack of oral health knowledge and skills, care-resistant behaviors in residents, lack of adequate oral care routines, insufficient systems for documentation of issues related to oral health, a high workload, and unclear responsibilities. An intervention, SmartJournal, has been developed to assist health personnel in preserving older patients' oral health. SmartJournal is a digital tool with three components: (1) documentation of oral hygiene routines; (2) monthly oral health assessment; and (3) education on geriatric oral care. An updated framework for research on complex interventions has been used to guide the various phases in the development of this intervention. This study focuses on the evaluation phase. We aim to assess (1) the effectiveness of SmartJournal use in enhancing nursing home caregivers' capability, opportunity, motivation, and routines related to oral care; and (2) whether SmartJournal use results in improved oral health for nursing home residents. We will use a cluster randomized controlled trial to assess impacts of SmartJournal use as specified under study objectives. Nursing homes located in Rogaland, Norway, will be recruited and randomly assigned to an intervention and a control group. The intervention group will be provided with tablets containing SmartJournal and support from research staff, while the control group will continue with existing oral care routines. Both groups will receive oral hygiene packages. The intervention will last for 12 weeks. Measurements will be performed in both groups at baseline, 3 months, and 9 months and include (1) a survey assessing caregivers' capability, opportunity, motivation, and routines related to oral care; and (2) assessment of oral health status in residents using mucosal-plaque score as a primary outcome measure. Analyses will include descriptive statistics and statistical techniques to look for changes and differences in the study variables within and between the intervention and control groups throughout the study period. Associations between study variables will also be investigated. Recruitment of nursing homes for the intervention and control groups was completed in February 2023. Recruitment of individual participants (ie, nursing home residents and caregivers) is ongoing, and baseline measurements are being performed consecutively. Results are expected to be ready for analyses in fall 2024. We aim to assess the effects of SmartJournal use on oral care and oral health in nursing homes. Results from this work may inform further development and implementation of SmartJournal and similar digital tools aiming to enhance health care services offered to care-dependent people. Finally, SmartJournal may have potential as a learning tool in educational programs for nurses and other health care professionals. ClinicalTrials.gov NCT05724043; https://clinicaltrials.gov/study/NCT05724043. DERR1-10.2196/46926.
Poor R wave progression (PRWP) and reversed R wave progression (RRWP) have long been noted in electrocardiograms as potential indicators of anterior wall fibrosis or chronic coronary artery disease; however, the quantity and quality of evidence supporting these associations warrants closer examination. The aim of this scoping review is to assess the breadth of evidence regarding the diagnostic significance of PRWP and RRWP, explore the extent of research, study populations and methodologies, and the presence of gaps in knowledge regarding these electrocardiographic phenomena and their association with coronary diseases. We conducted a comprehensive search across PubMed, Web of Science, and Scopus, covering literature on PRWP or RRWP in the context of myocardial infarction, ischemia, or fibrosis from any time period and in any language. A total of 20 studies were included in this review, highlighting the severe paucity of data. No high-quality accuracy studies have been identified, and existing research suffers from methodological issues, in particular selection bias. Prevalence and prognostic studies showed significant heterogeneity in terms of definitions and outcomes, which contributes to an alarming risk of bias. The lack of solid evidence for PRWP and RRWP as diagnostic markers for acute and chronic coronary artery disease necessitates caution in clinical interpretation. Future research should focus on well-designed case-control studies to clarify the diagnostic accuracy of these markers. Until robust evidence is available, the reliance on PRWP/RRWP for diagnosing anterior infarction should be discouraged, reflecting a gap between clinical practice and evidence-based medicine.
Poor sleep quality can exacerbate many other physiological functions, such as obesity, cardiovascular disease, and high blood pressure. Although primary studies were conducted in Ethiopia, no studies concluded the pooled prevalence of poor sleep quality in Ethiopia. Therefore, this study was conducted to determine the pooled prevalence and its determinants of sleep quality among diabetes in Ethiopia. Assess the pooled prevalence and its determinants of sleep quality among diabetes in Ethiopia. The studies were searched systematically using international databases from PubMed, Google Scholar, Cochrane Library, Embase, and CINAHL. The quality of the articles searched was assessed using the New Castle Ottawa scale for a cross-sectional study design. Statistical analysis was performed using STATA version 14 and a systematic review was performed using a random effect model method. The Preferred Reporting Item for Systematic Review and Meta-analyses (PRISMA) guideline was followed for reporting results. From the total of 728 records screened, 8 studies with 2,471 participants who met the inclusion criteria were included in this systematic review. The estimated pooled prevalence of poor sleep quality in Ethiopia was 48.54%. Almost half of diabetes patients had poor sleep quality. The preparation of brochures on diabetic information and the organization of health education about the negative impact of poor sleep quality on patients are among the best modalities to improve the problem of poor sleep quality.
Poor sleep quality is common in patients with cancer, but the prevalence rates varied widely across studies. This systematic review and meta-analysis examined the pooled prevalence of poor sleep quality among patients with cancer. Systematic literature searches were independently conducted in the major databases (Web of Science, PubMed, EMBASE and PsycINFO). Studies that reported the prevalence of poor sleep quality in patients with cancer were analyzed using a random effects model. Funnel plots and Egger's tests were used to assess publication bias. Statistical analyses were performed using R software. A total of 59 epidemiological studies involving 16,223 patients were included. The pooled prevalence of poor sleep quality in patients with cancer was 57.4% [95% confidence interval (CI): 53.3% - 61.6%]. Additionally, three comparative studies with 372 patients and 412 healthy controls were included. Compared to healthy controls, patients with cancer had a significantly higher risk for poor sleep quality [odd ratio (OR) = 3.0; 95%CI: 1.2-7.2; P < 0.05]. Subgroup analyses of the studies revealed that studies from Middle East & North Africa region and low income countries, and on gynecological cancer as well as those with a lower cut-off value of sleep quality (all P < 0.01) reported a higher prevalence of poor sleep quality. Meta-regression analyses showed that higher prevalence of poor sleep quality was associated with higher prevalence of comorbid depression (P < 0.05) and anxiety (P < 0.01), but was associated with a lower education level (P < 0.05) and alcohol use ratio (P < 0.05). Poor sleep quality is common among patients with cancer. Considering the overall high prevalence rate and negative impact of poor sleep quality, appropriate measures to identify and improve poor sleep quality are needed to enhance the clinical outcomes in this group.
Population aging has become a primary global public health issue, and the prevention of age-associated diseases and prolonging healthy life expectancies are of particular importance. Gut microbiota has emerged as a novel target in various host physiological disorders including aging. Comprehensive understanding on changes of gut microbiota during aging, in particular gut microbiota characteristics of centenarians, can provide us possibility to achieving healthy aging or intervene pathological aging through gut microbiota-directed strategies. This review aims to summarize the characteristics of the gut microbiota associated with aging, explore potential biomarkers of aging and address microbiota-associated mechanisms of host aging focusing on intestinal barrier and immune status. By summarizing the existing effective dietary strategies in aging interventions, the probability of developing a diet targeting the gut microbiota in future is provided. This review is focused on three key notions: Firstly, gut microbiota has become a new target for regulating health status and lifespan, and its changes are closely related to age. Thus, we summarized aging-associated gut microbiota features at the levels of key genus/species and important metabolites through comparing the microbiota differences among centenarians, elderly people and younger people. Secondly, exploring microbiota biomarkers related to aging and discussing future possibility using dietary regime/components targeted to aging-related microbiota biomarkers promote human healthy lifespan. Thirdly, dietary intervention can effectively improve the imbalance of gut microbiota related to aging, such as probiotics, prebiotics, and postbiotics, but their effects vary among.
Population aging is a prominent phenomenon worldwide. The increase in physical inactivity and co-morbid diseases poses a major challenge to current community health policies. Physical activity guidelines recommended for older people have not been met by this population group. For this reason, a new model, physical literacy, is being innovated and has gained global attention and has emerged as an effective and innovative active aging strategy to improve physical activity participation of this vulnerable group. However, the evidence on physical literacy in the older adult so far is brief and diffuse. Therefore, the aim was to conduct a scoping review protocol to identify and map physical literacy in older people. This scoping review protocol was based on the Joanna Briggs Institute Method. The search will be performed on Embase, IBSS ProQuest, Medline OVID, PsycINFO Ebsco, PubMed, ScienceDirect, Scopus, SPORTDiscus, Social Services Abstracts ProQuest, Sociological Abstracts ProQuest, Web of Science ISI, Wiley Online Library, Cochrane Library, and ERIC Ebsco databases. All types of studies published since 2001 in English, Spanish, and Portuguese examining physical literacy over the lifespan of older adults were included. Two independent reviewers will organize and select studies according to the objectives and questions of the scoping review. The selected publications will be organized and summarized using a checklist proposed by the PRISMA-ScR. Qualitative data analysis (thematic analysis) will be performed to identify meanings and patterns to answer the research question. The final scoping review will present the main evidence available, key concepts/definitions, research conducted, and knowledge gaps related to physical literacy in older adults, leading to strategies to improve the community health of this population, as well as health literacy.
Population branch statistics, which estimate the branch lengths of focal populations with respect to two outgroups, have been used as an alternative to F ST -based genome-wide scans for identifying loci associated with local selective sweeps. In addition to the original population branch statistic (PBS), there are subsequently proposed branch rescalings: normalized population branch statistic (PBSn1), which adjusts focal branch length with respect to outgroup branch lengths at the same locus, and population branch excess (PBE), which also incorporates median branch lengths at other loci. PBSn1 and PBE have been proposed to be less sensitive to allele frequency divergence generated by background selection or geographically ubiquitous positive selection rather than local selective sweeps. However, the accuracy and statistical power of branch statistics have not been systematically assessed. To do so, we simulate genomes in representative large and small populations with varying proportions of sites evolving under genetic drift or background selection (approximated using variable Ne ), local selective sweeps, and geographically parallel selective sweeps. We then assess the probability that local selective sweep loci are correctly identified as outliers by F ST and by each of the branch statistics. We find that branch statistics consistently outperform F ST at identifying local sweeps. When background selection and/or parallel sweeps are introduced, PBSn1 and especially PBE correctly identify local sweeps among their top outliers at a higher frequency than PBS. These results validate the greater specificity of rescaled branch statistics such as PBE to detect population-specific positive selection, supporting their use in genomic studies focused on local adaptation. Population branch statistics are widely used in genome-wide scans to identify loci associated with local adaptation. This study finds that branch statistics are more accurate than FST at identifying local selective sweeps under a wide range of demographic parameters and models of evolution. It also demonstrates that certain branch statistics have improved ability to distinguish local adaptation from other models of natural selection.
Population migration in China has increasingly included middle-aged and older populations. Relatedly, the lack of mental health education among China's older migrants is still an important but neglected problem. This study aimed to understand the current situation of mental health education received by the older migrant population in China and to explore related influencing factors. This cross-sectional study included 5729 older migrants who participated in the 2017 China Migrants Dynamic Survey. The independent variables included four components: demographic and socioeconomic characteristics, migration factors, public health service utilization, and social integration factors. Data were analyzed using the chi-square test for single factors and a binary logistic regression model for multiple factors. A total of 1749 older migrants received mental health education, for a receipt rate of 30.53%. Regression analysis showed that older migrant individuals who had an average monthly household income > 3000 CNY, self-rated their health as healthy, had chronic diseases, had heard of National Basic Public Health Services, had established health records, received ≥2 types of health education were willing to integrate into the local population, and were highly involved in the community were more likely to receive mental health education. Older migrants who were ≥ 70 years old, had an elementary school education or below, had difficulties in the local community, had migrated ≥11 years prior, moved for their offspring, and moved across provinces were less likely to receive mental health education. The older migrant population does not receive sufficient mental health education. Mental health interventions should be tailored to the characteristics of older migrants to increase their mental health literacy and meet their psychological needs.
Population-based neuroimaging studies that feature complex sampling designs enable researchers to generalize their results more widely. However, several theoretical and analytical questions pose challenges to researchers interested in these data. The following is a resource for researchers interested in using population-based neuroimaging data. We provide an overview of sampling designs and describe the differences between traditional model-based analyses and survey-oriented design-based analyses. To elucidate key concepts, we leverage data from the Adolescent Brain Cognitive Development℠ Study (ABCD Study®), a population-based sample of 11,878 9-10-year-olds in the United States. Analyses revealed modest sociodemographic discrepancies between the target population of 9-10-year-olds in the U.S. and both the recruited ABCD sample and the analytic sample with usable structural and functional imaging data. In evaluating the associations between socioeconomic resources (i.e., constructs that are tightly linked to recruitment biases) and several metrics of brain development, we show that model-based approaches over-estimated the associations of household income and under-estimated the associations of caregiver education with total cortical volume and surface area. Comparable results were found in models predicting neural function during two fMRI task paradigms. We conclude with recommendations for ABCD Study® users and users of population-based neuroimaging cohorts more broadly.
Population-based studies have shown that a growing number of counsellors have been providing counselling via the Internet. There are mixed findings regarding the effectiveness of online counselling compared to traditional face-to-face counselling and other modalities. During the COVID-19 outbreak, online counselling services were advanced as the only safe means of attending to mental health conditions, especially during the lockdowns. However, the effectiveness of online counselling remains unclear, especially in developing countries with low digital literacy and poor Internet connectivity. This study's main purpose was to investigate and determine the clients' and therapists' perspectives on the effectiveness of online counselling during the pandemic based on the level of preparedness, mode of delivery, and challenges faced. The study used mixed methods employing a parallel convergent design and collected data from 284 participants (44 therapists and 240 counselling clients). The study found that therapists were not prepared to offer online counselling services, but were compelled by high demands for counselling services from clients during the pandemic. Both clients and therapists cited the cost of data bundles to connect to the Internet as a major barrier. Furthermore, both clients and therapists indicated that the most effective platform was video conferencing. The findings also show that therapists observed slowed progress in the client's recovery due to clients missing sessions. Logistic regression results on factors associated with preparedness and positive perception of online counselling showed that older therapists and lay counsellors were less likely to be prepared and evaluate sessions as less effective, respectively. Living in Lusaka (the capital) was associated with higher odds of perceiving online counselling as effective. Client results showed that older clients had lower odds of being prepared, and the counsellor being prepared increased the odds of the online counselling being perceived as effective. The researchers conclude that online counselling, in the context of a developing country, is ineffective because of the cost of Internet connection, the multiplicity of information communication technology (ICT) channels, low digital literacy, and lack of knowledge or experience using these platforms.