Yoxas/statistical_literacy huggingface dataset:
Older adults who use digital technology are desired to adapt to digitalization and literacy. One required aspect is eHealth literacy, measured with the eHealth Literacy Scale (eHEALS). Many studies on eHealth literacy have used the eHEALS to examine the health behaviors of college students, relatively younger adults, and Internet users. However, the relevance of eHealth literacy to social activity has not yet been studied in older adults. The purposes of this study were to examine the relationship between eHealth literacy and health behaviors and social activities (community, cultural, and sports activities) and to investigate the factors associated with eHEALS scores among community-dwelling older adults. The mean eHEALS score was 12.4 points (SD 8.2), with the majority (73.3%) having the lowest score (the lowest score is 8 points). Males (17.6, SD 10.5) scored significantly higher than females (11.8, SD 7.7). The eHEALS score had a significant relationship with both cultural and community activity. Five factors significantly associated with having the lowest eHEALS score were cultural activity at least once a week, no cultural activity, no community activity, total IADL score, and intellectual activity. These results suggest that eHealth literacy is associated with community activity and cultural activity among older adults.
Older adults with diabetes mellitus require drug treatment considering their frailty, cognitive function, and hypoglycemia. We investigated the association between diabetic pharmacologic therapy and both diabetic complications and frailty across eight diabetes-specific outpatient clinics nationwide. Participants (aged 60-80 years) who had type 2 diabetes and did not require nursing care were included in the study. Basic attributes, patient background, complications, hypoglycemic status, body weight, body composition, blood tests, grip strength, and Kihon Checklist (a frailty index) and self-care scores were obtained. Descriptive statistics, t-test, chi-square test, and regression analyses were employed for evaluation. Overall, 417 participants were included (224 men, 193 women, mean age 70.1 ± 5.4 years, diabetes duration 14.9 ± 10.9 years, body mass index 24.5 ± 3.8, glycated hemoglobin 7.22 ± 0.98%, proportion of individuals with frailty and prefrailty, 19.9% and 41.0%, respectively). All drugs were used more frequently in prefrailty conditions. Each diabetes medication was related to complications, body composition, and frailty, as follows: sulfonylurea (lower hypoglycemia); glinide (severe hypoglycemia, retinopathy, weaker grip strength, high Kihon Checklist score, decreased physical activities); alpha-glucosidase inhibitors (no association); biguanide (high body mass index, high body fat, stronger grip strength); thiazolidinedione (decreased instrumental activities of daily living); dipeptidyl-peptidase-4 inhibitors (no association); sodium-glucose cotransporter 2 inhibitors; retinopathy, high body mass index and Kihon Checklist score, and depressive mood); glucagon-like peptide-1 receptor agonists (high body mass index and body fat and poor nutritional status); and insulin preparations (hypoglycemia, retinopathy, neuropathy, nephropathy, cardiovascular diseases, weaker grip strength, and high Kihon Checklist score and physical inactivity). Some formulations, such as glinide, sodium-glucose cotransporter 2 inhibitors, and insulin, are associated with an increased frequency of frailty, warranting careful and individualized diabetes treatment.
Older adults with socioeconomic disadvantage develop a greater burden of disability after critical illness than those without socioeconomic disadvantage. The delivery of in-hospital rehabilitation that can mitigate functional decline may be influenced by social determinants of health (SDOH). Whether rehabilitation delivery differs by SDOH during critical illness hospitalization is not known. To evaluate whether SDOH are associated with the delivery of skilled rehabilitation during critical illness hospitalization among older adults. This cohort study used data from the National Health and Aging Trends Study linked with Medicare claims (2011-2018). Participants included older adults hospitalized with a stay in the intensive care unit (ICU). Data were analyzed from August 2022 to September 2023. Dual eligibility for Medicare and Medicaid, education, income, limited English proficiency (LEP), and rural residence. The primary outcome was delivery of physical therapy (PT) and/or occupational therapy (OT) during ICU hospitalization, characterized as any in-hospital PT or OT and rate of in-hospital PT or OT, calculated as total number of units divided by length of stay. In the sample of 1618 ICU hospitalizations (median [IQR] patient age, 81.0 [75.0-86.0] years; 842 [52.0%] female), 371 hospitalizations (22.9%) were among patients with dual Medicare and Medicaid eligibility, 523 hospitalizations (32.6%) were among patients with less than high school education, 320 hospitalizations (19.8%) were for patients with rural residence, and 56 hospitalizations (3.5%) were among patients with LEP. A total of 1076 hospitalized patients (68.5%) received any PT or OT, with a mean rate of 0.94 (95% CI, 0.86-1.02) units/d. After adjustment for age, sex, prehospitalization disability, mechanical ventilation, and organ dysfunction, factors associated with lower odds of receipt of PT or OT included dual Medicare and Medicaid eligibility (adjusted odds ratio, 0.70 [95% CI, 0.50-0.97]) and rural residence (adjusted odds ratio, 0.65 [95% CI, 0.48-0.87]). LEP was associated with a lower rate of PT or OT (adjusted rate ratio, 0.55 [95% CI, 0.32-0.94]). These findings highlight the need to consider SDOH in efforts to promote rehabilitation delivery during ICU hospitalization and to investigate factors underlying inequities in this practice.
Older people are particularly vulnerable to social isolation and loneliness, which can lead to ill-health, both mentally and physically. Information and communication technology (ICT) can supplement health and social care and improve health among the vulnerable, older adult population. When ICT is used specifically for communication with others, it is associated with reduced loneliness in older populations. Research is sparse on how the implementation of ICT, used specifically for communication among older people in social services, can be performed. It is recommended to consider the determinants of implementation, that is, barriers to and facilitators of implementation. Determinants related to older people using ICT tools are reported in several studies. To the best of our knowledge, studies investigating the determinants related to the social services perspective are lacking. This study aims to explore the determinants of implementing the Fik@ room, a new, co-designed, and research-based ICT tool for social interaction among older people, from a social services personnel perspective. This study used an exploratory, qualitative design. An ICT tool called the Fik@ room was tested in an intervention study conducted in 2021 in 2 medium-sized municipalities in Sweden. Informants in this study were municipal social services personnel with experience of implementing this specific ICT tool in social services. We conducted a participatory workshop consisting of 2 parts, with 9 informants divided into 2 groups. We analyzed the data using qualitative content analysis with an inductive approach. The results included 7 categories of determinants for implementing the ICT tool. Being able to introduce the ICT tool in an appropriate manner concerns the personnel's options for introducing and supporting the ICT tool, including their competencies in using digital equipment. Organizational structure concerns a structure for communication within the organization. Leadership concerns engagement and enthusiasm as driving forces for implementation. The digital maturity of the social services personnel concerns the personnel's skills and attitudes toward using digital equipment. Resources concern time and money. IT support concerns accessibility, and legal liability concerns possibilities to fulfill legal responsibilities. The results show that implementation involves an entire organization at varying degrees. Regardless of how much each level within the organization comes into direct contact with the ICT tool, all levels need to be involved to create the necessary conditions for successful implementation. The prerequisites for the implementation of an ICT tool will probably change depending on the digital maturity of future generations. As this study only included 9 informants, the results should be handled with care. The study was performed during the COVID-19 pandemic, which has probably affected the results.
Older people are the group with the greatest digital gap, so their digital literacy is important to improve the conditions in which they age. A study was conducted with pre- and post-evaluation of a digital literacy (DL) intervention in people aged 60 years and over. A total of 56 participants (experimental group N = 32 and control group N = 24) were recruited for convenience in community centers. The intervention was adapted to the needs of the participants, there were five face-to-face sessions and remote reinforcement for three months, carried out by trained university students for five months. Sociodemographic variables such as self-perception of socioeconomic level and education, among others, were evaluated. The impact was assessed using the digital literacy scale (MDPQ16), indicators of frequency and types of internet and mobile phone use, health literacy (SAHLSA and NSV), quality of life (SF-12), hedonic well-being (Diener's SWLS and Cummins' PWI) and perceived social support using the Zimet scale. The intervention had a significant impact with an effect size of r = 0.27 on digital literacy, separate t-test comparisons revealed a markedly significant change for digital literacy in the experimental group, before and after the pre-post t-test(31) = 3.56, p = 0.001, but not in the control group, t(23) = 0.082, p = 0.93. No direct impact on health literacy, health-related quality of life, and hedonic well-being was identified. We examined the indirect impact of change in digital literacy and found that it correlated with improvements in well-being and social support, as well as quality of life. Individuals with significant changes were detected and compared with those who did not change. Evaluation that contributes by identifying elements for improvement in future interventions and discusses the importance of culturally adapting continuing education in older people.
Older persons occasionally or permanently relocate from their own houses to institutions or old-age homes as a result of the current socio-demographic changes and circumstances. In this scenario, the current study aimed to assess the perceived social support, loneliness, and depression among the elderly living in old-age homes. We have conducted a descriptive cross-sectional study among the elders living in old-age homes in Bengaluru urban, who have been staying in old-age homes for at least 6 months or above, and the age group of 60 years or above. Data were obtained from 40 respondents from four old-age homes using a simple random sampling method. Structured interview schedules have been used which included a socio-demographic profile, geriatric depression scale, multidimensional scale of perceived social support, and emotional and social loneliness scale. The majority of the respondents (82.5%) belonged to the age category of 60-70 years. More than half of the respondents were females (57.5%); 30% of the respondents were widowed. Nearly two-thirds of them belonged to below poverty line families. The analysis showed a negative correlation between perceived social support and loneliness and depression and a positive correlation between loneliness and depression. There is a significant gender difference among study variables such as perceived social support and depression. The results also show significant differences across the categories of socioeconomic status, duration of physical illness, and a number of organizations changed while comparing perceived social support and depression variables. Perceived social support influences older adults' experience of loneliness and depression among inmates of old-age homes. Hence, there is a need to sensitize the staff working in old-age homes on caregiving skills for enabling the elderly to enjoy better-perceived social support and quality of life.
Older persons with age-related and complex health problems will increasingly depend on care provision from nurses in their own homes. However, a barrier to quality care is ageism and nursing students´ disinterest in geriatrics. In addition, nurse education often falls short in preparing students for the complexity of geriatric care. Welfare technology (WT) is progressively implemented in home care to help older persons live at home despite their health problems. However, this process is intricate and requires acceptance and digital literacy among caregivers and older persons. Despite these challenges, nurse education can address and change negative attitudes through innovative teaching methods such as age suit simulation. Therefore, the study aims to describe nursing students´ experiences of age suit simulation in a home-like environment with WT and technical aids, and will reveal their perspective on ageing and providing care to older adults. A qualitative explorative design using semi-structured group interviews (n=39) among nursing students. Data was analysed through reflexive thematic analysis. The analysis generated three main themes; "It's like walking in a bubble", "An eye opener" and "Concerns about ageing and the current structure of geriatric care". The main themes included eight subthemes. Adapting to the sensory and physical limitations of the age suit was an immersive experience and caused feelings of frustration, loneliness and disconnection. A prominent result was a raised awareness of cognitive loss, especially impaired vision, and students felt the simulations had made them aware of the everyday challenges older persons faced. Students highlighted the importance of patience and giving enough time in care situations by being present and having a critical perspective of WT. The students were mostly negative towards their own ageing and could better relate to older persons´ vulnerability. Age suit simulation was described as an embodied and eye-opening experience, raising nursing students´ awareness of older persons´ functional limitations and the consequences for dignity and independence. Coping with cognitive loss was especially difficult. Students were motivated to apply their new knowledge to clinical practice. Age suit simulation can complement geriatric education, preparing students for the complex care needs of older persons.
Oligonucleotide therapeutics have emerged as an important class of drugs offering targeted therapeutic strategies that complement traditional modalities, such as monoclonal antibodies and small molecules. Their unique ability to precisely modulate gene expression makes them vital for addressing previously undruggable targets. A critical aspect of developing these therapies is characterizing their molecular composition accurately. This includes determining the monoisotopic mass of oligonucleotides, which is essential for identifying impurities, degradants, and modifications that can affect the drug efficacy and safety. Mass spectrometry (MS) plays a pivotal role in this process, yet the accurate interpretation of complex mass spectra remains challenging, especially for large molecules, where the monoisotopic peak is often undetectable. To address this issue, we have adapted the MIND algorithm, originally developed for top-down proteomics, for use with oligonucleotide data. This adaptation allows for the prediction of monoisotopic mass from the more readily detectable, most-abundant peak mass, enhancing the ability to annotate complex spectra of oligonucleotides. Our comprehensive validation of this modified algorithm on both in silico and real-world oligonucleotide data sets has demonstrated its effectiveness and reliability. To facilitate wider adoption of this advanced analytical technique, we have encapsulated the enhanced MIND algorithm in a user-friendly Shiny application. This online platform simplifies the process of annotating complex oligonucleotide spectra, making advanced mass spectrometry analysis accessible to researchers and drug developers. The application is available at https://valkenborg-lab.shinyapps.io/mind4oligos/.
Omics methods are widely used in basic biology and translational medicine research. More and more omics data are collected to explain the impact of certain risk factors on clinical outcomes. To explain the mechanism of the risk factors, a core question is how to find the genes/proteins/metabolites that mediate their effects on the clinical outcome. Mediation analysis is a modeling framework to study the relationship between risk factors and pathological outcomes, via mediator variables. However, high-dimensional omics data are far more challenging than traditional data: (1) From tens of thousands of genes, can we overcome the curse of dimensionality to reliably select a set of mediators? (2) How do we ensure that the selected mediators are functionally consistent? (3) Many biological mechanisms contain nonlinear effects. How do we include nonlinear effects in the high-dimensional mediation analysis? (4) How do we consider multiple risk factors at the same time? To meet these challenges, we propose a new exploratory mediation analysis framework, medNet, which focuses on finding mediators through predictive modeling. We propose new definitions for predictive exposure, predictive mediator, and predictive network mediator, using a statistical hypothesis testing framework to identify predictive exposures and mediators. Additionally, two heuristic search algorithms are proposed to identify network mediators, essentially subnetworks in the genome-scale biological network that mediate the effects of single or multiple exposures. We applied medNet on a breast cancer data set and a metabolomics data set combined with food intake questionnaire data. It identified functionally consistent network mediators for the exposures' impact on the outcome, facilitating data interpretation.
On average, 45% of Canadian adults meet the recommended 150 minutes per week of moderate-to-vigorous physical activity. This singular statistic masks a wide range of adherence levels among different groups within the population. The purpose of this paper is to determine how sex, age, and family arrangement intersect with known risk factors for physical inactivity to identify groups within the Canadian population most at risk of not meeting the physical activity recommendation. Using six combined cycles of the Canadian Health Measures Survey (from 2007 to 2019), this study examines how the percentage of Canadian males and females aged 18 to 79 years meeting the physical activity recommendation differs across sociodemographic, family arrangement, and health factors. Logistic regression was used to examine whether the association between specific factors and adherence to the physical activity recommendation differed by sex. Latent class analysis was used to identify sex-specific combinations of sociodemographic, family arrangement and health-related factors within the Canadian population that are associated with varying levels of adherence to the physical activity recommendation. More males met the physical activity recommendation compared with females (49% versus 38%). Latent classes with the lowest adherence to the physical activity recommendation (19% among females and 29% among males) primarily included those who were single or married with no children and who had a high probability of having many risk factors for physical inactivity, including being older, having a lower education, having lower income, smoking, having central adiposity, and having poor or fair self-rated general health. Latent classes with the highest adherence to the physical activity recommendation (61% among females and 67% among males) primarily included individuals with no spouse and no children and who had a low probability of having any risk factors for physical inactivity. For females, an additional class (32% of which met the physical activity recommendation) comprised young single mothers who had several risk factors for physical inactivity, including having low income, smoking and having central adiposity. Understanding how risk factors for physical inactivity intersect with sex, age, and family arrangement may inform strategies aimed at increasing physical activity among those who are most vulnerable.
On most online platforms, just about anyone can disseminate plastic surgery (PS) content regardless of their educational or professional background. This study examines the general public's perceptions of the accuracy of online PS content and the factors that contribute to the discernment of credible information. The Amazon Mechanical Turk crowdsourcing platform was used to survey adults in the United States. The survey assessed respondent demographics, health literacy (HL), and perceptions of online PS content accuracy. T-tests, Chi-square tests, and post hoc analyses with Bonferroni corrections assessed differences between HL groups. Multivariate linear regressions assessed associations between sociodemographic variables and perceptions of online content. In total, 428 (92.0%) of 465 complete responses were analyzed. The median age of respondents was 32 y (interquartile range: 29-40). Online sources were predominantly perceived to have a high degree of accuracy, with mean scores of various platforms ranging from 3.8 to 4.5 (1 = not accurate at all; 5 = extremely accurate). The low HL group perceived social media sites and review sites to be more accurate than the high HL respondents, particularly for Reddit (P = 0.004), Pinterest (P = 0.040), and Snapchat (P = 0.002). There is a concerning relationship between low HL and the perceptions of the accuracy of online PS sources. This study underscores the need for education campaigns, the development of trustworthy online resources, and initiatives to improve HL. By fostering a more informed public, individuals seeking PS can make better informed decisions.
On the basis of interviews with 20 Chinese EFL teachers and text-mining analysis, this study investigates the reconstruction of language teacher identity during the COVID-19 pandemic in terms of context, agency, and practice. The word co-occurrence analysis and collocation statistics with modal verbs coded by KH Coder 3.0 demonstrate that English teachers face two types of identity reconstruction processes: (a) situational context related to various changes, and, (b) interactional context that causes communication difficulties with students. How teachers enact agency is influenced by their teaching experience. Through practice, teachers reconstruct their identity as solution seekers, positive learners, and confident professionals.