Demographic Predictors Research Articles

RETRACTED ARTICLE: Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats

The COVID-19 pandemic exposed a global deficiency of systematic, data-driven guidance to identify high-risk individuals. Here, we illustrate the utility of routinely recorded medical history to predict the risk for 1883 diseases across clinical specialties and support the rapid response to emerging health threats such as COVID-19. We developed a neural network to learn from health records of 502,460 UK Biobank. Importantly, we observed discriminative improvements over basic demographic predictors for 1774 (94.3%) endpoints. After transferring the unmodified risk models to the All of US cohort, we replicated these improvements for 1347 (89.8%) of 1500 investigated endpoints, demonstrating generalizability across healthcare systems and historically underrepresented groups. Ultimately, we showed how this approach could have been used to identify individuals vulnerable to severe COVID-19. Our study demonstrates the potential of medical history to support guidance for emerging pandemics by systematically estimating risk for thousands of diseases at once at minimal cost.

The benefits of being clear: role clarity in stepmotherhood is associated with greater overall identity clarity and well-being

ABSTRACT Stepfamilies are one of the most common familial structures in the United States. The present research sought to examine the experiences of stepparents, specifically stepmothers, as one window into stepfamily functioning. Researchers theorize that the role of being a stepmother is poorly defined within American society compared to other social roles and that this lack of definition is a source of distress for stepparents. In a study of stepmothers (N = 152), the current research found robust associations between greater clarity within the role of being a stepmother, greater overall identity clarity, and greater personal and relational well-being. Additional exploratory analyses examined demographic predictors or role clarity, as well as demographic moderators of our key effects.

Clinical and health care utilization variables can predict 90-day hospital re-admission in adults with Crohn’s disease for point of care risk evaluation

BackgroundHospital re-admission for persons with Crohn’s disease (CD) is a significant contributor to morbidity and healthcare costs. We derived prediction models of risk of 90-day re-hospitalization among persons with CD that could be applied at hospital discharge to target outpatient interventions mitigating this risk.MethodsWe performed a retrospective study in persons with CD admitted between 2009 and 2016 for an acute CD-related indication. Demographic, clinical, and health services predictor variables were ascertained through chart review and linkage to administrative health databases. We derived and internally validated a multivariable logistic regression model of 90-day CD-related re-hospitalization. We selected the optimal probability cut-point to maximize Youden’s index.ResultsThere were 524 CD hospitalizations and 57 (10.9%) CD re-hospitalizations within 90 days of discharge. Our final model included hospitalization within the prior year (adjusted odds ratio [aOR] 3.27, 95% confidence interval [CI] 1.76–6.08), gastroenterologist consultation within the prior year (aOR 0.185, 95% CI 0.0950–0.360), intra-abdominal surgery during index hospitalization (aOR 0.216, 95% CI 0.0500–0.934), and new diagnosis of CD during index hospitalization (aOR 0.327, 95% CI 0.0950–1.13). The model demonstrated good discrimination (optimism-corrected c-statistic value 0.726) and excellent calibration (Hosmer-Lemeshow goodness-of-fit p-value 0.990). The optimal model probability cut point allowed for a sensitivity of 71.9% and specificity of 70.9% for identifying 90-day re-hospitalization, at a false positivity rate of 29.1% and false negativity rate of 28.1%.ConclusionsDemographic, clinical, and health services variables can help discriminate persons with CD at risk of early re-hospitalization, which could permit targeted post-discharge intervention.

Performance on clinical outcomes, activities of daily living anduser experience on head-mounted displays for people withvision impairment.

To compare the objective performance, acceptance and usability of head-mounted displays (HMDs) to provide evidence-based data that could be used to increase the efficiency of device referrals based upon a person's vision loss and functional needs. A cross-sectional, counterbalanced, individually controlled crossover study was performed on 15 adults with various eye conditions. Performance was measured when using four HMDs: eSight4, Eyedaptic EYE3, Eyedaptic EYE4 and IrisVision Inspire. Performance on clinical visual acuity tests and contrast were assessed, as well as vision-related activities of daily living (ADL) which were divided into three categories: Reading, Searching & Identifying and Eye-hand Coordination. User-experience was also assessed. Logistic regression analyses, Friedman one-way repeated measure analyses of variance by ranks and multivariate permutation testing were used for analysis. There was a significant improvement in visual acuity when using all devices. For contrast tasks, only the eSight4 and Eyedaptic EYE3 improved performance relative to baseline. For most Reading and Searching & Identifying tasks, the odds of being able to perform the tasks were significantly higher while using the devices. However, the actual performance with most devices (e.g., number of words read or reading speed) did not improve significantly over baseline for most tasks. For the Eye-hand Coordination tasks, participants performed equivalent to or significantly poorer than baseline when using the devices. No demographic or clinical predictors of outcomes were identified. Participants expressed dissatisfaction with the devices' effectiveness, acceptability and usability. While performance on clinical tests was better when using the devices, performance on most real-world ADLs was equal to or worse than baseline. No single device improved performance on all tasks, and performance on any one task was not improved with all the devices. The overall dissatisfaction with the devices paralleled the lack of objective improvement in the performance of real-world tasks.

Demographic and Socioeconomic Predictors of Prehypertension and Hypertension in the Adult Population: Serbian National Health Survey

Background and Objectives: Prehypertension and hypertension are the most common cardiovascular disorders worldwide and are increasingly considered one of the most serious public health problems, particularly in developing countries. The objective of this study was to determine the frequency and demographic and socioeconomic predictors of prehypertension and hypertension in the adults in Serbia, and to examine the relationship between prehypertension and hypertension and health behavior determinants (smoking, alcohol use, physical activity) and individual aspects of health (a health self-assessment, multimorbidity, BMI, depressive symptoms). Materials and Methods: The research is part of the fourth National Population Health Survey conducted in 2019, which was conducted by the Republic Institute of Statistics, in cooperation with the Institute of Public Health of Serbia and the Ministry of Health of the Republic of Serbia. As a research instrument, questionnaires were used in accordance with the methodology of the European Health Survey. For the purposes of this research, data on the adult population aged 20 and over were used. Results: Women are at a reduced risk for both prehypertension (OR = 0.328) and hypertension (OR = 0.349) by nearly 70%. Similarly, those aged below 60 years have a lower risk for prehypertension and those younger than 40 years have a lower risk for hypertension (OR = 0.995), whereas people with a lower education have a 4.3 times higher risk of prehypertension (OR = 4.323) and a 1.6 times higher risk of hypertension (OR = 1.614). The poor have a 1.4 times higher risk of prehypertension (OR = 1.413) and a 1 times higher risk of hypertension (OR = 1.035). People with multimorbidity have a 1.2 times higher risk of both prehypertension (OR = 1.218) and a 4.8 times higher risk of hypertension (OR = 4.867). Conclusions: Male gender, lower education, poverty, age and the presence of multimorbidity are significant predictors of prehypertension and hypertension in the Serbian adult population, so preventive strategies should be aimed at these sensitive population groups.

Selfitis Behaviour as Predictor of Psychological Distress among Students of Dhaka City

Selfie is an interesting self-portrait phenomenon that has changed young people's communication and leisure time. Instead of living in the present moment, people are busy clicking selfies and uploading them on social media, adversely impacting their psychological health. Thus, the present study was designed to explore the impact of selfitis behavior on psychological distress among students at various educational levels (i.e., schools, colleges, and universities). Data were collected purposively from 400 participants at different educational institutions situated in Dhaka city. A package of Bangla-adapted versions (Zaman and Konica, 2019) of measuring tools (i.e., selfitis behavior scale and psychological distress scale) and a personal information form were used to collect the necessary information regarding the study. Results revealed that selfitis behavior was positively correlated with psychological distress. The individual effect of selfitis behavior construct identified two significant predictors (i.e., environmental enhancement and attention seeking), which jointly explained 12.6% of the variance in psychological distress. Here, the strongest predictor of psychological distress was attention-seeking, which alone explained 10.3% of the variance in psychological distress. Further, results also revealed that the three significant demographic predictors (i.e., socioeconomic status, daily selfie-taking, and educational qualification) jointly explained 16.1% of the variance in psychological distress. These results suggest valuable insights for researchers, educators, and educational counselors dealing with these concerns. Additionally, the findings would aid psychologists, parents, teachers, and other stakeholders in comprehending the factors contributing to psychological distress. Jagannath University Journal of Life and Earth Sciences, 9(2): 133-146, 2023 (December)

Predictors of Early versus Delayed Neurological Deterioration after Thrombolysis for Ischemic Stroke

Introduction: We aimed to determine predictors of early (END) and delayed neurological deterioration (DND) and their association with the functional outcome in patients with acute ischemic stroke (AIS) who participated in the international Enhanced Control of Hypertension and Thrombolysis Stroke Study (ENCHANTED). Methods: END and DND (without END) were defined as scores of a ≥2-point increase on the National Institutes of Health Stroke Scale (NIHSS) or a ≥1-point decrease on the Glasgow coma scale or death, from baseline to 24 h and 24–72 h, respectively. Multivariable logistic regression models were used to determine independent predictors of END and DND and their association with 90-day outcomes (dichotomous scores on the modified Rankin scale [mRS] of 2–6 vs. 0–1 and 3–6 vs. 0–2 and death). Results: Of 4,496 patients, 871 (19.4%) and 302 (8.4%) patients experienced END and DND, respectively. Higher baseline NIHSS score, older age, large-artery occlusion due to significant atheroma, cardioembolic stroke subtype, hemorrhagic infarction and parenchymatous hematoma within 24 h were all independent predictors for both END (all p ≤ 0.01) and DND (all p ≤ 0.024). Moreover, higher baseline systolic blood pressure (BP) (odds ratio [OR] 1.07, 95% confidence interval [CI] 1.02–1.12), higher diastolic BP variability within 24 h (OR 1.07, 95% CI 1.04–1.09), patients from Asia (OR 1.25, 95% CI 1.03–1.52) were the only independent predictors for END. However, Asian ethnicity was negatively associated with DND (OR 0.64, 95% CI 0.47–0.86). Hemorrhagic infarction and parenchymatous hematoma within 24 h were the key predictors of END across all stroke subtypes. END and DND were all associated with a poor functional outcome at 90 days (all p < 0.001). Conclusion: We identified overlapping and unique demographic and clinical predictors of END and DND after thrombolysis for AIS. Both END and DND predict unfavorable outcomes at 90 days.

Inter-professional simulator training for reliable ship-helicopter interactions

This work-in-progress paper presents the preliminary results of an exploratory study on the effectiveness of a simulator training for ad hoc collaboration between sea- and airborne professionals in the field of maritime search and rescue. To enable this training, two different types of simulators were coupled. This coupled simulation environment provided the 49 (preliminary) study participants—seafaring and helicopter professionals—with authentic simulator training conditions. Our training was developed and tested using a two-phase approach. In the first phase, we used qualitative methods to identify requirements and design a training using insights from domain experts. In the second phase—the preliminary results of which are presented here—we tested the impact of the training on the acquisition and transfer of competencies as rated by the participants. To uncover contingencies of these training effects, we explore demographic predictors. We show which set of participants perceived that they benefited most from the training.

Who uses connected health technologies after a cancer diagnosis? evidence from the US Health Information National Trends Survey.

As the number of people living with and beyond cancer increases, connected health technologies offer promise to enhance access to care and support, while reducing costs. However, uptake of connected health technologies may vary depending on sociodemographic and health-related variables. This study aimed to investigate demographic and health predictors of connected health technology use among people living with and beyond cancer. Cross-sectional data from the US Health Information National Trends Survey Version 5 Cycle 4 (H5c4) was used. Regression analysis was used to examine associations between sociodemographic factors and the use of connected health technologies. The sample was restricted to individuals who self-reported a cancer diagnosis or history of cancer. In this cycle, 626 respondents self-reported a cancer diagnosis, with 41.1% using connected health technologies (health and wellness apps and/or wearable devices). Most were female (58.9%) and white (82.5%); 43.4% had graduated college or higher education. One third (33.6%) had a household income of $75,000 or more. Respondents who were younger, have higher education, were living as married, had higher incomes, had higher self-rated health and had higher health-related self-efficacy were significantly more likely to use connected health technologies. There were no significant associations between gender, race, stratum, time since diagnosis, history of anxiety or depression, and use of connected health technologies among people living with and beyond cancer. Connected health technology use among people living with and beyond cancer is associated with sociodemographic factors. Future research should examine these demographic disparities as the use of connected health technologies in healthcare continues to gather momentum. The study underscores a disparity in connected heath technology usage among people living with and beyond cancer. There is a pressing need for research into adoption barriers and interventions to ensure equitable digital healthcare integration among this population, especially with the heightened adoption of technology post COVID-19 pandemic.

Food (in)security in relation to nutrition (in)security in a national cross-sectional sample of Supplemental Nutrition Assistance Program participants: considerations of an emerging construct

BackgroundFood insecurity, lack of access to sufficient food for an active, healthy life, is a persistent problem in the United States. Recently, nutrition security has emerged as a new concept. However, limited research exists examining how nutrition security relates to the established concept of food security. ObjectivesThis study assessed a recent metric of nutrition security and explored how well it describes the underlying construct among a sample of Supplemental Nutrition Assistance Program (SNAP) participants. We examined the correlation between food and nutrition security and demographic predictors of joint food and nutrition security status. MethodsWe conducted a national, web-based survey (Qualtrics; 30 September–19 October, 2022) in English and Spanish of adults aged ≥18 y (n = 1454) who reported receiving SNAP benefits in the past 12 mo. We measured food security using the US Department of Agriculture 6-item Food Security Survey and assessed nutrition security using the Gretchen Swanson Center for Nutrition Household Nutrition Security measure. We used multinominal logistic regression to examine demographic predictors of food and nutrition security. ResultsThe majority (80.4%) of SNAP participants experienced food insecurity, and 59.1% reported experiencing nutrition insecurity. Food and nutrition security were moderately correlated (0.41); 55.6% of SNAP participants were both food and nutrition insecure, 3.5% were food secure but nutrition insecure, 24.8% were food insecure but nutrition secure, and 16.1% were both food and nutrition secure. Of SNAP participants, 24.8% reported experiencing food insecurity but not nutrition insecurity. Hispanic ethnicity and Southern residence were associated with joint food and nutrition insecurity. ConclusionsThese findings raise questions about how nutrition security is conceptualized and measured and its added value beyond existing food security measurement scales. Further research is needed to understand differences in food and nutrition security experiences and risk factors and determine a validated definition and measure of nutrition security for future policy solutions.

Predictors of psychiatric treatment-seeking attitudes in older adults

Objectives Understanding the factors that contribute to treatment-seeking attitudes among older adults—a growing population with frequent mental health concerns—is vital. Although past research has identified some demographic and belief-based predictors of mental health treatment attitudes among this population, previous studies are limited by only evaluating these variables in isolation and not distinguishing between different types of treatment (e.g. medication and psychotherapy). Methods In a pre-registered online survey of 606 older adults (age 60 years and older), we evaluated stigmatizing attitudes, etiological beliefs about depression, psychological symptoms, and health literacy as well as attitudes about psychotherapy and medication separately. Results Pre-registered linear regression analyses showed that greater stigmatizing attitudes uniquely predicted more negative attitudes for both therapy and medication treatment seeking over and above gender, education, income, extrinsic barriers, health literacy, depression, and anxiety. Additionally, loneliness was a significant predictor of less favorable medication attitudes. Exploratory analysis revealed that attributing depression to a chemical imbalance predicted positive attitudes about medication, but not psychotherapy. Conclusion These findings indicate that older adults’ treatment-seeking behaviors are separately influenced by stigma, etiological beliefs, and loneliness.

Knowledge, attitude and practices about pharmacovigilance activities among hospital nurses: a multicentre cross-sectional survey.

The national pharmacovigilance (PV) system has been established in many countries worldwide following the thalidomide tragedy. Nurses have an important role in recognising and reporting any Adverse Drug Reaction (ADR); however, their role has not been widely explored, particularly in Southeast Asian countries. To assess the knowledge, attitudes and practice (KAP) about PV activities, along with barriers and facilitators that affect ADR reporting among hospital nurses in Malaysia. The present study also explores the relationship between demographic characteristics and predictors of KAP among hospital nurses in Malaysia. A multicentre, questionnaire-based, cross-sectional study was conducted in March-May 2021, among nurses working at tertiary care hospitals in Malaysia. The mean KAP score of study participants was 57 ± 11. Overall participants had poor ADR knowledge (37.4%), and poor reporting practices (48.9%). Age >30 years (AOR = 2.7 (1.13-6.8), p = 0.02), and working experience of greater than 10 years (AOR = 2.44 (1.08-5.52), p = 0.03), were significantly associated with good ADR knowledge and reporting practices among study participants. In summary, study findings offer valuable insight for developing targeted interventions and formal training to improve nurses' ADR knowledge and reporting practices. Addressing gaps in these areas can enhance patient safety and overall healthcare quality.

Racial Implicit Associations in Child Psychiatry

Racial disparities in diagnosis and treatment are prevalent in child psychiatry, including disparate diagnosis rates of internalizing and externalizing disorders in Black and White children. However, limited research has investigated mechanisms that contribute to these disparities. This study examined child racial implicit associations in psychiatric clinicians and medical students to address this gap. Psychiatrists and trainees completed an online survey including 2 race Implicit Association Tests (IATs) pairing child faces to words with either positive or negative valence, and words related to internalizing or externalizing behavioral problems. Psychiatrists and trainees' demographic predictors of implicit associations were also investigated. Data were analyzed from 235 psychiatrists and trainees (112 child and adolescent psychiatrists and fellows) who met inclusion criteria. Psychiatrists and trainees demonstrated greater moderate-to-strong association between Black child faces and "bad" (ie, negatively valenced) words (44.3%) vs "good" (ie, positively valenced) words (6.4%), and between externalizing words (41.7%) vs internalizing words (7.2%). Psychiatrists and trainees' demographic characteristics including being female (β=-0.12; 95% CI=-0.23 to-0.01; p< .05), Black (β=-0.36; 95% CI=-0.54 to-0.18; p< .001), or an attending physician (β=-0.26; 95% CI=-0.45 to-0.06; p= .01) were significant predictors of decreased association between Black child faces and negative valence words. Being female was a significant predictor of decreased association between Black child faces and externalizing words (β=-0.26; 95% CI=-0.45 to-0.06; p= .01). Participating psychiatrists and trainees demonstrated bias toward associating Black rather than White child faces with negative words and externalizing behavioral problems. Future research should examine the following: racial implicit associations in a more generalizable sample; the relationship between race IATs and provider behavior; and interventions to reduce racial inequities in psychiatry, including individual and systemic solutions. We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. We actively worked to promote sex and gender balance in our author group. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper received support from a program designed to increase minority representation in science.

Return to work after aneurysmal subarachnoid hemorrhage.

Survivors of aneurysmal subarachnoid hemorrhage (aSAH) often recover without severe physical or cognitive deficits. However, strikingly low levels of engagement in productive employment have also been reported in aSAH patients with good or excellent outcomes. Knowledge about return to work (RTW) after aSAH and predictors of no RTW remain limited and controversial. The study aimed to delineate the return to maximum work capacity up to 5 years after the ictus in a larger number of consecutive aSAH patients from the entire aSAH severity spectrum and to identify demographic and medical predictors of no RTW. Data were acquired from a prospective institutional database. We included all 500 aSAH survivors aged > 18 years who were treated between January 2012 and March 2018. In addition to gathering data on work status and the type of work at ictus, we retrieved demographical data and assessed aSAH severity based on the quantification of subarachnoid, intraventricular, and intraparenchymal blood (ICH), as well as the World Federation of Neurological Societies (WFNS) grade. We registered the mode of aneurysm repair (endovascular or surgical) and recorded complications such as vasospasm, newly acquired cerebral infarctions, and chronic hydrocephalus. Furthermore, work status and the grade of fatigue at follow-up were registered. RTW was assessed among 299 patients who were employed at ictus. Among them, 63.2% were women, and their age was 51.3 ± 9.4 (20-71) years. Return to gainful employment was 51.2%, with complete RTW accounting for 32.4%. The independent predictors of no RTW at ictus were age, the WFNS grade 3, and active smoking. The strongest independent predictor was the presence of clinically significant fatigue, which increased the risk of not returning to work by 5-fold. The chance to return to gainful employment significantly increased with the individual's years of education prior to their hemorrhage. The mode of aneurysm repair was not relevant with regard to RTW. Patients in the WFNS grades 1-2 more often returned to work than those in the WFNS grades 3-5, but our results indicate that neurological motor deficits are linked closer to no RTW than aSAH severity per se. Fatigue needs to be addressed as an important element on the path to return to work integration.

Visitor characteristics and changes in mental health stigma after attending the Mind Space mental health experience exhibition.

Mind Space is an experiential mental health exhibition in Hong Kong, aiming to raise public awareness and provide education regarding mental health. This prepost study aimed to 1) examine the relationships between visitors' characteristics and their mental health stigma at baseline, and 2) provide a preliminary evaluation of the effectiveness of Mind Space in reducing stigma and promoting help-seeking attitudes toward mental health conditions. We analyzed data from all consenting visitors who attended Mind Space between September 2019 and December 2021. Visitors' attitudes toward mental health conditions and their willingness to seek professional psychological help were measured through online questionnaires before and after visits. Multiple linear regression was used to identify the demographic predictors of outcome variables at baseline. Changes in outcome variables after attending Mind Space were assessed using paired sample t-tests. A total of 382 visitors completed the baseline questionnaires, among which 146 also completed the post-test. At baseline, higher socioeconomic levels and personal contact with people with mental health conditions predicted more positive attitudes and understanding toward mental disorders. Tentatively, the results also showed that after attending Mind Space, a significant reduction in negative attitudes about mental illness (t=4.36, p=<.001; d=.361) and improvements in the propensity to seek professional help (t=-5.20, p<.001; d=-.430) were observed, along with decreases in negative attitudes toward stereotypes (t=4.71, p=<.001; d=.421) and restrictions (t=2.29, p=.024; d=.205) among healthcare professionals. Our findings highlight the need for mental health education for people with lower socioeconomic status and the importance of direct contact in public mental health education initiatives. The present study also suggests that Mind Space may be a useful model for public mental health education, but the exhibition requires further evaluation to ascertain if any reductions in stigma are maintained over time.

Participation and Persistence in High School Elective Music Ensembles

In this study, we examined demographic patterns of participation and persistence in high school elective music ensembles. We extend prior research that has only compared music and non-music students by explicitly modeling persistence across multiple years of ensemble enrollment. The research draws on data from the High School Longitudinal Study of 2009 and employs a zero-inflated Poisson regression model to analyze the data. This hurdle model, suitable for count data with a large number of zero observations, allows us to jointly examine factors related to enrolling in at least 1 year of a music ensemble (moving from 0 years to 1 year of music) and those factors related to accruing additional years of music ensemble enrollment (moving beyond 1 year to multiple years). We found that family socioeconomic status, birth-assigned sex, academic achievement, shared parent/student outside arts event attendance, and out-of-school arts engagement were significant predictors of both students’ music participation and persistence. By examining persistence, we add important nuance to the prior research examining demographic predictors of elective high school music enrollment, particularly for issues of birth-assigned sex and socioeconomic status in the choral context.

Evaluation of the use of a clinical practice guideline for external apical root resorption among orthodontists

BackgroundExternal apical root resorption (EARR) is a frequently observed adverse event in patients undergoing fixed appliance therapy. Assessing the patients’ risk during treatment is important, as certain factors are assumed to be associated with an increased likelihood of occurrence. However, their predictive value remains limited, making evidence-based clinical decision-making challenging for orthodontists. To address this issue, the Dutch Association of Orthodontists (NvVO) developed a clinical practice guideline (CPG) for EARR in accordance with the AGREE II instrument (Appraisal of Guidelines for Research and Evaluation II) in 2018. The aim of this study is to get insight into the actual utilization and the practical implementation of the guideline among orthodontists. The hypothesis to be tested was that after its introduction, clinical practice for EARR has changed towards the recommendations in the CPG.ObjectiveTo investigate the use of the 2018 clinical practice guidelines for EARR among orthodontists 3 years after its introduction.MethodsA questionnaire using a 7-point Likert scale was developed concerning four domains of EARR described in the guideline. The questionnaire was piloted, finalised, and then distributed digitally among Dutch orthodontists. REDCap was used for data collection, starting with an invitation email in June 2021, followed by two reminders. Effect was tested by the Mann–Whitney U test, and the influence of demographic variables was analysed.ResultsQuestionnaires were sent out to all 275 and completed by 133 (response rate 48%); N = 59 females and N = 73 males were included; 81% had their training in the Netherlands, 89% had ≥ 6 years of work experience, and 89% worked in private orthodontic practice. One hundred thirty orthodontists (98.5%) reported changes in clinical practice. The biggest positive change in clinical behaviour regarding EARR occurred if EARR was diagnosed during treatment. Sex, clinical experience, country of specialist training, and working environment of the respondents did not affect clinical practices regarding EARR.ConclusionsThis questionnaire demonstrated that, 3 years after introduction of the guideline, orthodontists improved their self-reported clinical practices to a more standardised management of root resorption. None of the demographic predictors had a significant effect on the results.

White matter lesion load and location in relation to cognitive impairment in relapsing–remitting multiple sclerosis

Abstract Background In relapsing–remitting multiple sclerosis (RRMS) the connection between cognitive impairment (CI) and white matter lesion load (WM-LL) and location is still unclear. This study aimed to identify the relationship between CI in RRMS patients and WM-LL and locations using a fully automated platform. CI and WM-LL were evaluated in 90 patients with RRMS using the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) and Automated MRI volumetric measures of WM-LL and lesion distribution. Regression analysis of BICAMS as a dependent variable with different clinical and radiological parameters was performed. Results Data were obtained from 90 patients with RRMS who had a mean age of 32.74 ± 8.43 years and a female-to-male ratio of 3:1. The mean (± SD) cognitive rating scores for the BICAMS subtests were 28.07 ± 11.78 for the Symbol Digit Modalities Test (SDMT), 42.32 ± 12.46 for the California Verbal Learning Test-II (CVLT-II), and 16.13 ± 8.17 for the Brief Visuospatial Memory Test-Revised (BVMT-R). According to the BICAMS criteria, 29 cases (32.2%) had CI. BICAMS scores were significantly correlated with age, education level, relapse frequency, disease duration, and time to start disease-modifying therapies. Whole WM-LL and periventricular lesion load were significantly associated with CI. After controlling for age, sex, and education, logistic regression analysis revealed that total WM-LL was the best predictor for CI together with duration of illness and years of education. The cut-off value of 12.85 cc for total WM-LL predicted CI. Conclusions Whole WM-LL and periventricular lesion load are the best anatomical predictors for CI probably due to the effect on the anterior commissural fibers while years of education and duration of disease are the best demographic predictors for CI.

The role of clinical and demographic predictors for understanding the cognitive impairment in Spinal Cord Injury (SCI) patients.

Using a cross-sectional design, we extracted sociodemographic and clinical data from 488 Spinal Cord Injury (SCI) patients during their initial assessment before receiving intensive rehabilitation treatment. The primary objectives of this study were to ascertain the prevalence of cognitive impairment in the study sample and specify the key clinical and demographic predictors of cognitive functioning in SCI patients. Lucy Montoro Rehabilitation Institute (LMRI), University of Sao Paulo, Sao Paulo, Brazil. We utilized independent univariate and multivariate regression models with the Montreal Cognitive Assessment (MoCA) scale, adapted for individuals with visual impairment. Moreover, we consider scores from the execution tasks (visuospatial/executive) as the dependent variable. Our findings demonstrate that approximately 80% of the evaluated study sample exhibited cognitive impairment. Through the multivariate regression models, we show that several factors, including age, education, depression levels, and the use of analgesics and/or opioids, are significant predictors of total cognitive scores. These factors are independent of the clinical features associated with SCI, such as age, sex, education, and time since the injury. The results indicate a high prevalence of significant cognitive impairment within the sample, with age, education, depression levels, and the use of analgesics and/or opioids emerging as the primary predictors of total cognitive scores, independent of the clinical features correlated to SCI. These findings hold significant implications for both clinical research and practice, offering valuable guidance for comprehensive management throughout hospitalization and rehabilitation.

Distinct profiles of mental health need and high need overall among New Zealand adolescents - Cluster analysis of population survey data.

The objective was to identify clinically meaningful groups of adolescents based on self-reported mental health and wellbeing data in a population sample of New Zealand secondary school students. We conducted a cluster analysis of six variables from the Youth19 Rangatahi Smart Survey (n = 7721, ages 13-18 years, 2019): wellbeing (World Health Organization Well-Being Index), possible anxiety symptoms (Generalized Anxiety Disorder 2-item, adapted), depression symptoms (short form of the Reynolds Adolescent Depression Scale) and past-year self-harm, suicide ideation and suicide attempt. Demographic, contextual and behavioural predictors of cluster membership were determined through multiple discriminant function analysis. We performed cross-validation analyses using holdout samples. We identified five clusters (n = 7083). The healthy cluster (n = 2855, 40.31%) reported positive mental health across indicators; the anxious cluster (n = 1994, 28.15%) reported high possible anxiety symptoms and otherwise generally positive results; the stressed and hurting cluster (n = 667, 9.42%) reported sub-clinical depression and possible anxiety symptoms and some self-harm; the distressed and ideating cluster (n = 1116, 15.76%) reported above-cutoff depression and possible anxiety symptoms and high suicide ideation; and the severe cluster (n = 451; 6.37%) reported the least positive mental health across indicators. Female, rainbow, Māori and Pacific students and those in higher deprivation areas were overrepresented in higher severity clusters. Factors including exposure to sexual harm and discrimination were associated with increasing cluster severity. We identified high prevalence of mental health challenges among adolescents, with distinct clusters of need. Youth mental health is not 'one size fits all'. Future research should explore youth behaviour and preferences in accessing support and consider how to best support the mental health of each cluster.