Yoxas/statistical_literacy huggingface dataset:
Early childhood obesity is serious public health problem, and poses a risk of obesity in later life. The study aimed to investigate whether infant feeding affects risk of overweight and obesity in preschool children in the United Arab Emirates (UAE). A cross-sectional study was carried out. Data was collected in a kindergarten in Al Ain, UAE. One hundred and fifty parents and preschool children aged 2 to 6 years participated in the study. Univariate and multivariate linear regression were used to investigate associations. A longer duration of breastfeeding and later introduction of complementary foods were associated with a lower BMI z-score in preschool children. Each month of any breastfeeding was associated with a lower BMI z-score in the unadjusted model (β = -0.03; 95% CI -0.05, -0.01; p = 0.01), and each month increase in the age of introducing complementary foods was associated with a lower BMI z-score in the unadjusted model (β = -0.43; 95% CI: -0.60 to-0.027; p<0.001). These associations remained after adjustment for potential confounding factors (age, sex, maternal BMI, maternal education level, mother's age, social class, father's BMI) for duration of breastfeedinig (β = -0.02; 95% CI: -0.05 to 0.00; p<0.001) and age of complementary feeding (β = -0.39; 95% CI: -0.57 to-0.21; p<0.001). Poor infant feeding practices (shorter duration of breastfeedinig and early introduction of complementary foods) were found to be associated with higher BMI in preschool children. Promoting appropriate proper infant feeding practices in line with recommendations could be one strategy to help prevent childhood obesity in the UAE.
Early detection of deteriorating mental health for women who are experiencing symptoms associated with perimenopause and menopause is critical to ensure the well-being of women. Unfortunately, many women during this phase of their lives find it difficult to access relevant and timely treatment. This concurrent mixed methods study using an online survey and qualitative interviews explored Australian women's knowledge and experiences of perimenopause and menopause and specifically reports on findings associated with women's mental health. Four hundred and eleven women completed the online survey in its entirety and 25 women participated in semi-structured interviews between April and July 2022. Survey data were analysed using SPSS and, in this article, data are presented as descriptive statistics. Qualitative interviews were analysed using thematic analysis guided by Braun and Clarke (2013; 2019). Quantitative and qualitative data specific to women's mental health were integrated into three themes: (1) increased anxiety and depression, (2) a negative impact on emotions and (3) a negative impact on self-worth. Findings from this study will help to inform clinical services for women as it highlights the need to improve education about perimenopause and menopause for healthcare providers and women.
Early diagnosis and treatment of lung cancer are crucial to improve the survival and the outcomes in patients who are diagnosed with lung cancer. Many factors can affect the waiting time for lung cancer treatment, however, the corona virus disease 2019 (COVID-19) was one of the major factors that universally slowed down clinical activities in the last three years. We are aiming with this study to demonstrate how this pandemic and other factors affected the lung cancer waiting times for diagnosis and treatment. This is a retrospective study including 670 patients who were diagnosed with lung cancer within the NHS Lothian region of Edinburgh - Scotland between March 2019 and November 2023. One hundred patients underwent curative lung resection. Patients were categorised into three groups for sub analysis. The first group included patients diagnosed before the COVID-19 pandemic, the second group included patients diagnosed during the pandemic in 2020, and the third group represents those diagnosed after the mass vaccination program was established and until November 2023. The average waiting time between the referral from the GP to the date of surgery in the three groups was 88.5 days, 81 days, and 83.5 days, respectively. On the other hand, the waiting times elapsing between the first surgical clinic appointment and the date of the surgery itself were 17.6 days, 18.6 days, and 21.5 days, respectively. Unexpectedly waiting times elapsing between the referral to surgery and the date of surgery amongst lung cancer patients showed improvement during the COVID-19 pandemic. This is likely due to prioritizing cancer patients. Nevertheless, actions should be considered to decrease the waiting times in general.
Early exposure to neuroscience is imperative to strengthening the neuroscience and neurology pipeline and may present an avenue for increasing the number of practicing neurologists and diversifying the neuroscience workforce. Our objective was to systematically review existing K-12 neuroscience education and outreach programs to understand what educational programs have been developed and implemented. We conducted an electronic database search of PubMed, EMBASE, PsycINFO, Education Source, and ERIC. All eligible articles were systematically reviewed to examine the type of program developed, target age group, implementation, and efficacy. Our search produced 2,574 results, from which 23 articles were deemed eligible. The breakdown by age group was as follows: 5 elementary school, 8 middle school, 8 high school, and 2 general K-12 range of students. Six articles described programs intended for URM students. All programs were found to be successful in exposing students to neuroscience and inspiring interest in pursuing a career in the field of neurology. Further efforts are necessary to analyze the long-term effectiveness of K-12 neuroscience education and outreach programs in overcoming the shortage of neurologists and explore the impact of mentorship for various age groups among K-12.Systematic review registrationhttps://doi.org/10.17605/OSF.IO/2G8CN.
Early extubation has been adopted in many settings within cardiothoracic surgery, with several advantages for patients. We sought to determine the association of timing of extubation in lung transplant recipients' short- and long-term outcomes. Adult, primary lung transplants were identified from the United Network for Organ Sharing database. Recipients were stratified based on the duration of postoperative ventilation: 1) None (NV); 2) <5 Days (<5D); and 3) 5+ Days (5+D). Comparative statistics were performed, and both unadjusted and adjusted survival were analyzed with Kaplan-Meier Methods and a Cox proportional hazard model. A multivariable model including recipient, donor, and transplant characteristics was created to examine factors associated with NV. 28,575 recipients were identified (NV = 960, <5D = 21,959, 5+D = 5656). The NV group had shorter median length of stay (P < 0.01) and lower incidence of postoperative dialysis (P < 0.01). The NV and <5D groups had similar survival, while 5+D recipients had decreased survival (P < 0.01). The multivariable model demonstrated increased donor BMI, center volume, ischemic time, single lung transplant, and transplantation between 2011 and 2015 were associated with NV (P < 0.01 for all). Use of donation after cardiac death donors and transplantation between 2016 and 2021 was associated with postoperative ventilator use. Patients extubated early after lung transplantation have a shorter median length of stay without an associated increase in mortality. While not all patients are appropriate for earlier extubation, it is possible to extubate patients early following lung transplant. Further efforts are necessary to help expand this practice and ensure its' success for recipients.
Early identification and prediction of incident heart failure (HF) is important because of severe morbidity and mortality. This study aimed to predict onset of HF among patients with diabetes. A time-varying Cox model was derived from ACCORD clinical trial to predict the risk of incident HF, defined by hospitalization for HF (HHF). External validation was performed on patient-level data from the Harmony Outcome trial and Chronic Renal Insufficiency Cohort (CRIC) study. The model was transformed into an integer-based scoring algorithm for 10-year risk evaluation. A stepwise algorithm identified and selected predictors from demographic characteristics, physical examination, laboratory results, medical history, medication and health care utilization, to develop a risk prediction model. The main outcome was incident HF, defined by HHF. The C statistic and Brier score were used to assess model performance. In total, 9649 patients with diabetes free of HF were used, with median follow-up of 4 years and 299 incident hospitalization of HF events. The model identified several predictors for the 10-year HF incidence risk score 'DM-CURE': socio-Demographic [education, age at type 2 diabetes (T2DM) diagnosis], Metabolic (glycated haemoglobin, systolic blood pressure, body mass index, high-density lipoproteins), diabetes-related Complications (myocardial infarction, revascularization, cardiovascular medications, neuropathy, hypertension duration, albuminuria, urine albumin-to-creatinine ratio, End Stage Kidney Disease), and health care Utilization (all-cause hospitalization, emergency room visits) for Risk Evaluation. Among them, the strongest impact factors for future HF were age at T2DM diagnosis, health care utilization and cardiovascular disease-related variables. The model showed good discrimination (C statistic: 0.838, 95% CI: 0.821-0.855) and calibration (Brier score: 0.006, 95% CI: 0.006-0.007) in the ACCORD data and good performance in the validation data (Harmony: C statistic: 0.881, 95% CI: 0.863-0.899; CRIC: C statistic: 0.813, 95% CI: 0.794-0.833). The 10-year risk of incident HF increased in a graded fashion, from ≤1% in quintile 1 (score ≤14), 1%-5% in quintile 2 (score 15-23), 5%-10% in quintile 3 (score 24-27), 10%-20% in quintile 4 (score 28-33) and ≥20% in quintile 5 (score >33). The DM-CURE model and score were useful for population risk stratification of incident HHF among patients with T2DM and can be easily applied in clinical practice.
Early identification of a transfusion-associated adverse event (TAAE) is key to patient safety. Research has indicated that use of a TAAE checklist resulted in greater frequency of TAAE recognition behaviors. To explore whether use of a TAAE checklist resulted in greater frequency of TAAE recognition behaviors among nursing students. A prospective, randomized controlled study was conducted with 62 nursing students playing the role of a registered nurse in a simulation of a patient exhibiting clinical indicators of a TAAE. Subjects were randomly assigned to have or not have a TAAE checklist. Time to recognition of the TAAE was measured. The checklist group (CG) identified TAAEs on average 4 minutes sooner than the non-CG ( P < .001). CG subjects were also significantly less likely to miss TAAEs completely. A checklist may improve the safety of transfusions by promoting earlier recognition and treatment of TAAEs.
Early informal learning experiences are essential for sparking long-term interest in science, technology, engineering, and math (STEM). In a prior study, we found more promising parent involvement outcomes when families of young children were provided with STEM family education events along with home STEM activity kits compared to providing workshops alone. This study was a conceptual replication using the same program-Teaching Together STEM-to deliver educational workshops plus home activity kits; however, we varied the delivery method by using virtual "funshops" to evaluate if parents perceived this modality as feasible and useful. Museum informal science educators introduced four units via virtual video chat sessions linked to 12 hands-on STEM activities that were mailed to families randomly assigned to the treatment group. Half of the families were assigned to a waitlist control group that received a portion of the virtual program after the posttest. Participants included 60 families with children aged 3 to 5 years from diverse linguistic and socioeconomic backgrounds. Our results indicate no significant group differences in the primary outcome of parents' involvement in informal STEM but a small, positive effect size (ES = 0.18) that was similar in magnitude to the prior, in-person study. Although parents mostly perceived the remote delivery as convenient and the materials as engaging for their child, there were no significant program impacts on children's general science interests (ES = -0.19). Despite the convenience, parents reported time was a barrier to doing STEM activities at home. Parents with lower education levels were less likely to attend, suggesting virtual approaches are not sufficient for ensuring broad access to family engagement programs for populations underrepresented in STEM.
Early initiation of breastfeeding (EIBF) is a starting point that lays the foundation for breastfeeding and bonding between mother and baby. Meanwhile, working mothers are one of the vulnerable groups for the success of exclusive breastfeeding (EBF). The study analyzed the role of EIBF on EBF among Indonesian working mothers. The cross-sectional study examined secondary data from the 2021 Indonesian National Nutritional Status Survey. The study analyzed 4,003 respondents. We examined EBF practice as an outcome variable and EIBF as an exposure variable. We included nine control variables (residence, maternal age, marital, education, prenatal classes, wealth, infant age, sex, and birth weight). All variables were assessed by questionnaire. The study employed a binary logistic regression test in the last stage. The result showed that the proportion of EBF among working mothers in Indonesia in 2021 was 51.9%. Based on EIBF, Indonesian working mothers with EIBF were 2.053 times more likely than those without to perform EBF (p < 0.001; AOR 2.053; 95% CI 2.028-2.077). Moreover, the study also found control variables related to EBF in Indonesia: residence, maternal age, marital, education, prenatal classes, wealth, infant age, sex, and birth weight. The study concluded that EIBF was related to EBF. Indonesian working mothers with EIBF were two times more likely than those without to perform EBF. The government needs to release policies that strengthen the occurrence of EIBF in working mothers to increase EBF coverage.
Early initiation of breastfeeding (EIBF), within the first hour of birth, is crucial for promoting exclusive breastfeeding and establishing optimal nursing practices. However, global EIBF rates remain low, with even lower rates observed in Africa. Despite existing research gaps, this study aims to determine the prevalence of EIBF and identify maternal and child-related factors associated with its practice in West Africa. This study utilized West African Demographic and Health Survey (DHS) data from 13 countries, including 146,964 children's records. To assess model fit, likelihood test and deviance were used. Similarly, intraclass correlation coefficient, median odds ratio, and proportional change in variance were employed for random effect. A multilevel logistic regression model was used to identify individual- and community-level factors influencing EIBF due to the hierarchical nature of the data. Variables with p-values ≤0.2 in the binary model and <0.05 in the final analysis were considered significantly associated with EIBF. The pooled prevalence of EIBF in West African nations was 50.60% (95% CI; 50.34-50.85%). The highest prevalence rate was observed in Serra Leone (75.33%) and the lowest prevalence was found in Senegal (33.94%). In the multilevel multiple logistic regression model, maternal education (AOR = 1.10, 95% CI, 1.03,1.16), marital status AOR = 1.07, 95% CI, 1.01,1.13), birth weight (AOR = 0.91, CI 0.86,0.96), birth orders (AOR = 1.09, CI 1.03,1.16), and (AOR = 1.11, CI 1.03,1.19), place of residence (AOR = 1.14, CI 1.07,1.21), and mode of delivery type (AOR = 0.26, CI 0.24,0.29) were significantly correlated with EIBF in West Africa. The incidence of EIBF in West Africa was found to be low. The study emphasizes the need for targeted behavioral change communication programs to address timely breastfeeding initiation, specifically targeting mothers and child characteristics. Factors such as education, delivery mode, marital status, birth weight, birth order, and place of residence were significantly associated with EIBF. Special attention should be given to improving EIBF rates among women undergoing caesarean sections, infants with low birth weight, and primiparous mothers, along with structural improvements in the healthcare sector in West Africa.
Early ischemic change and collateral extent are colinear with ischemic core volume (ICV). We investigated the relationship between a combined score using the Alberta Stroke Program Early Computed Tomography Score and multiphase computed tomography angiography (mCTA) collateral extent, named mCTA-ACE score, on functional outcomes in endovascular therapy-treated patients. We performed a post hoc analysis of a subset of endovascular therapy-treated patients from the Alteplase Compared to Tenecteplase trial which was conducted between December 2019 and January 2022 at 22 centers across Canada. Ten-point mCTA collateral corresponding to M2 to M6 regions of the Alberta Stroke Program Early Computed Tomography Score grid was evaluated as 0 (poor), 1 (moderate), or 2 (normal) and additively combined with the 10-point Alberta Stroke Program Early Computed Tomography Score to produce a 20-point mCTA-ACE score. We investigated the association of mCTA-ACE score with modified Rankin Scale score ≤2 and return to prestroke level of function at 90 to 120 days using mixed-effects logistic regression. In the subset of patients who underwent baseline computed tomography perfusion imaging, we compared the mCTA-ACE score and ICV for outcome prediction. Among 1577 intention-to-treat population in the trial, 368 (23%; 179 men; median age, 73 years) were included, with Alberta Stroke Program Early Computed Tomography Score, mCTA collateral, and combination of both (mCTA-ACE score: median [interquartile range], 8 [7-10], 9 [8-10], and 17 [16-19], respectively). The probability of modified Rankin scale score ≤2 and return to prestroke level of function increased for each 1-point increase in mCTA-ACE score (odds ratio, 1.16 [95% CI, 1.06-1.28] and 1.22 [95% CI, 1.06-1.40], respectively). Among 173 patients in whom computed tomography perfusion data was assessable, the mCTA-ACE score was inversely correlated with ICV (ρ=-0.46; P<0.01). The mCTA-ACE score was comparable to ICV to predict a modified Rankin scale score ≤2 and return to prestroke level of function (C statistics 0.71 versus 0.69 and 0.68 versus 0.64, respectively). The mCTA-ACE score had a significant positive association with functional outcomes after endovascular therapy and had a similar predictive performance as ICV.
Early life adversity is associated with higher risk of many adult health problems, including mental illness, substance abuse, suicide attempt, and chronic diseases. Many previous studies investigated adversities one at a time or investigated the health toll associated with the cumulative number of adversities. To examine the co-occurrence of adversities among children and how specific patterns of adversities are associated with neurocognitive development. This cohort study used data from the Collaborative Perinatal Project (CPP), which enrolled a national sample of women during pregnancy and followed their offspring to ages 7 to 8 years, between 1959 and 1974. The CPP was a community-based study conducted in 12 US medical centers. The CPP sample was ascertained through prenatal clinics and is diverse with respect to race and socioeconomic status. Data analysis was performed from August 2023 to March 2024. A latent class analysis was conducted of 12 adverse childhood experiences that occurred between birth and 7 years to identify common patterns of childhood adversities. Five neurocognitive tests were used to measure children's visual-motor, sensory-motor, auditory-vocal, intelligence quotient, and academic skills. The analysis sample included 49 853 offspring (25 226 boys [50.6%]); 24 436 children (49.0%) had low probability of experiencing any adversity, whereas the remaining half were classified into 5 groups reflecting distinct patterns of childhood adversities: parental harshness and neglect, 1625 children (3.3%); parental separation and poverty, 8731 children (17.5%); family instability, 3655 children (7.3%); family loss, instability, and poverty, 1505 children (3.0%); and crowded housing and poverty, 9901 children (19.9%). Children in 4 of these groups had lower neurocognitive scores than children with a low probability of experiencing adversity, with standardized mean differences ranging from -0.07 (95% CI, -0.11 to -0.03) to -0.86 (95% CI, -1.06 to -0.65). These findings suggest that adverse childhood experiences are associated with deficits in children's neurocognitive functions. It is important to understand the complexity in children's exposure to adversity and the resulting developmental consequences, as well as the underlying mechanisms, to help support children exposed to adversity and foster healthier and resilient trajectories of development.
Early literacy skills such as alphabet knowledge and phonemic awareness are made up the foundation for learning to read. These skills are more effectively taught with explicit instruction starting inpreschool and then continuing during early elementary school years. The COVID19 pandemic school closures severely impacted early literacy development worldwide. Brazil had one of the longest school closure periods, which resulted in several children having no access to any educational activities. Education Technology (EdTech) tools can leverage access to pedagogical materials and remediate the consequences of school closure. We investigated the impact of using an early literacy EdTech, GraphoGame Brazil, to foster learning of early literacy skills during the height of COVID19 school closures, in Brazil. We carried out a quasi-experimental, pretest and posttest study with elementary school students who were taking online classes. Participants were pseudo randomly assigned to (1) an experimental group, who played GraphoGame Brazil, and to (2) an active control group, who played an EdTech that focuses on early numeracy skills. The results show a significant positive training effect on word reading accuracy associated with the use of GraphoGame for the children in the experimental group, relative to the control group. We also found statistically significant negative effect in lowercase naming for the control group. We address the consequences of COVID19 school closures, the promise of EdTech and its limitations, and discuss the issue of fostering successful early literacy instruction in countries that have struggled with teaching children to read even before the pandemic.