Identify Risk Profiles Research Articles

Unveiling Risk Profiles: A Latent Profile Analysis of 21st-Century Skills, Resistance to Change, and Cognitive Flexibility.

Limited research utilized a person-centered approach in examining 21st-century skills. This study used latent profile analysis to explore the relationships between resistance to change, cognitive flexibility, and 21st-century skills, including creativity, cooperativity, critical thinking, communication, and problem-solving. A convenience sampling approach was used to recruit 502 individuals (342 females; meanage =21.12±2.34 years) via an online survey. The results showed that creativity, cooperativity, critical thinking, communication, problem-solving, and resistance to change were determined as profile indicators. The cognitive flexibility of the subclasses was also predicted. Furthermore, the results revealed four distinct profiles: (i) average level across all skills (5.8%); (ii) low risk for most skills, moderate for cooperativity (18.1%); (iii) high risk for all skills (55.2%); and (iv) moderate risk for most skills, moderate for cooperativity (20.9%). The study highlights the importance of cognitive flexibility in identifying risk profiles. Using mixture modeling provides a fresh perspective for researchers, potentially aiding in targeted interventions for at-risk university students to enhance their 21st-century skills.

A Novel Data Analytics Methodology for Discovering Behavioral Risk Profiles: The Case of Diners During a Pandemic

Understanding tourist profiles and behaviors during health pandemics is key to better preparedness for unforeseen future outbreaks, particularly for tourism and hospitality businesses. This study develops and applies a novel data analytics methodology to gain insights into the health risk reduction behavior of restaurant diners/patrons during their dining out experiences in a pandemic. The methodology builds on data relating to four constructs (question categories) and measurements (questions and attributes), with the constructs being worry, health risk prevention behavior, health risk reduction behavior, and demographic characteristics. As a unique contribution, the methodology generates a behavioral typology by identifying risk profiles, which are expressed as one- and two-level decision rules. For example, the results highlighted the significance of restaurants’ adherence to cautionary measures and diners’ perception of seclusion. These and other factors enable a multifaceted analysis, typology, and understanding of diners’ risk profiles, offering valuable guidance for developing managerial strategies and skill development programs to promote safer dining experiences during pandemics. Besides yielding novel types of insights through rules, another practical contribution of the research is the development of a public web-based analytics dashboard for interactive insight discovery and decision support.

Screening of Anisakis-Related Allergies and Associated Factors in a Mediterranean Community Characterized by High Seafood Consumption.

Dietary changes expose consumers to risks from Anisakis larvae in seafood, leading to parasitic diseases and allergies. Anisakis is recognized by EFSA as a significant hazard, with potential oncogenic implications. Diagnostic advancements, like the Basophil Activation Test (BAT), enhance sensitivity and accuracy in identifying Anisakis sensitization, complementing traditional IgE tests. We conducted a cross-sectional study on patients with allergic symptoms from April 2021 to April 2023 at two outpatient clinics in western Sicily. Our goal was to assess the prevalence of Anisakis-related allergies and to identify risk profiles using specific Anisakis IgE and the BAT, especially in regions with high raw fish consumption. The study evaluated specific Anisakis IgE as a screening tool for Anisakis sensitization, using questionnaires, blood samples, and immuno-allergology analyses. Anisakis-specific IgE values were compared with the BAT results, with statistical analyses including Fisher's exact test and logistic regression. The results showed an 18.5% seroprevalence of Anisakis IgE, while the BAT as a second-level test showed 4.63%, indicating the BAT's superior specificity and accuracy. The study highlighted the importance of the BAT in diagnosing Anisakis sensitization, especially in cases of cross-reactivity with Ascaris and tropomyosin. The findings confirm the BAT's exceptional specificity in identifying Anisakis sensitization and support using Anisakis-specific IgE for population-based risk profiling. The BAT can effectively serve as a confirmatory test.

Health status, functioning and risk profiles for secondary health conditions in adolescents and young adults with spina bifida: a cross-sectional study at time of transition.

The transition from paediatric to adult medical care is a critical period for adolescents with spina bifida, often marked by deteriorating health and functional status. To describe the health status and functioning of individuals with spina bifida at the time of transition from paediatric to adult care and to identify risk profiles for potentially modifiable secondary health conditions (urinary tract infections, pressure injuries, respiratory problems and obesity). Descriptive study of data (derived from medical records) from all adolescents and young adults with spina bifida aged 15-25 years who were referred to a single specialised spinal cord injury centre as part of the transition programme during the period from 1 September 2015 to 31 May 2022. Descriptive statistics were used to describe the study population and to analyse the frequency and co-occurrence of congenital and acquired secondary health conditions. The equality of proportions test was used to test the prevalence of secondary health conditions based on important personal and clinical characteristics. We included 43 adolescents with spina bifida with a mean age of 18.4 years (SD 2.5); in 63% of them the neurological level was lumbar, and around 50% of them were wheelchair-dependent. The median Spinal Cord Injury Measure (SCIM) III score was 72 (IQR 61-89). The mean number of secondary health conditions at time of transition was 8.8. The most prevalent secondary health conditions were lower urinary tract dysfunction, bowel dysfunction, sexual dysfunction and contractures. Respiratory problems were more prevalent in females and in individuals with lower SCIM III scores, whereas no differences were observed in the prevalence of other modifiable secondary health conditions. Clustering of secondary health conditions was mainly seen for urinary tract infection + pressure injury and for urinary tract infection + pressure injury + obesity. The prevalence of secondary health conditions among individuals with spina bifida at time of transition is alarmingly high and functional profiles underscore the need for supporting adolescents and young adults with daily medical issues. The study highlights the critical role of transition programmes and interdisciplinary follow-up care in preventing health problems and improving functioning and independence in everyday life.

An integrated GRC approach to combating fraud in microloan services

This research aims to reduce fraud risks in Indonesian banks and non-bank financial institutions providing microloan services. The study employs data analytics and machine learning techniques using employee data from Bank X spanning 2017-2019 with samples of 28,004 workers (2017-2018) and 27,274 employees (2019). Confirmatory factor analysis and XGBoost predictive modelling are applied within the fraud triangle framework to identify critical fraud risk indicators related to employee pressure. An algorithmic approach categorizes personnel based on fraud risk ratings enabling the detection of potentially suspicious activities for proactive intervention. The analysis reveals that incorporating data analytics into governance, risk management and compliance (GRC) systems can accurately forecast fraud probability by focusing on factors associated with employee pressure and opportunities. This facilitates targeted fraud prevention solutions by integrating control mechanisms, risk processes and auditing standards. The predictive model provides valuable insights for policymakers to combat fraud by enhancing governance and risk management practices specific to microloans. This research concludes that the predictive model is a pragmatic decision-making tool for banks offering micro-loans. It mitigates dangers by detecting high-risk personnel and transactions. Integrating data analytics with robust GRC frameworks enables financial institutions to uphold integrity through proactive fraud monitoring and targeted preventive interventions tailored to identify risk profiles. The study offers an integrated technological organizational approach to protect microlending activities.

Comprehensive multi-omics analysis reveals a combination of lncRNAs that synergistically regulate glycolysis and immunotherapeutic effects in renal clear cell carcinoma.

Clear cell renal carcinoma is a common urological malignancy with poor prognosis and treatment outcomes. lncRNAs are important in metabolic reprogramming and the tumor immune microenvironment, but their role in clear cell renal carcinoma is unclear. Renal clear cell carcinoma sample data from The Cancer Genome Atlas was used to establish a new risk profile by glycolysis-associated lncRNAs via machine learning. Risk profile-associated column-line plots were constructed to provide a quantitative tool for clinical practice. Patients with renal clear cell carcinoma were divided into high- and low-risk groups. Clinical features, tumor immune microenvironments, and immunotherapy responses were systematically analyzed. We experimentally confirmed the role of LINC01138 and LINC01605 in renal clear cell carcinoma. The risk profile, consisting of LUCAT1, LINC01138, LINC01605, and HOTAIR, reliably predicted survival in patients with renal clear cell carcinoma and was validated in multiple external datasets. The high-risk group presented higher levels of immune cell infiltration and better immunotherapy responses than the low-risk group. LINC01138 and LINC01605 knockdown inhibited the proliferation of renal clear cell carcinoma. The identified risk profiles can accurately assess the prognosis of patients with clear cell renal carcinoma and identify patient populations that would benefit from immunotherapy, providing valuable insights and therapeutic targets for the clinical management of clear cell renal carcinoma.

Factors Associated with Falls in Community-Dwelling Older Adults: A Subgroup Analysis from a Telemergency Service.

According to the number of falls, fallers can be single (only one fall) or recurrent (two or more falls), with different risk profiles for loss of independence and frailty. The presence of risk factors in community-dwelling single- and recurrent fallers using a wearable fall-detection device, such as the Personal Emergency Response System (PERS), as part of a telemergency service, is still unknown. This article evaluates how using a PERS, within a telemergency service, helps identify risk profiles and assessment of any differences between non-fallers and fallers in community-dwelling older adults. A sub-group analysis was performed, dividing users into non-fallers (n = 226) and fallers (≥1 fall; n = 89); single-fallers (n = 66) and recurrent fallers (n = 23). Median age was higher in fallers (87.7 years vs. 86), whereas recurrent fallers were less independent, had fewer comorbidities, and had more low-extremity disabilities. The use of the PERS for medical problems (Adjusted OR = 0.31), excluding falls, support calls (Adjusted OR = 0.26), and service demands (Adjusted OR = 0.30), was significantly associated with a fall risk reduction. The findings suggest that the integration within a telemergency service may impact on fall-risk factors.

Risk assessment of healthcare workers’ exposure to physical load in relation to patient handling and movement: a feasibility study of the instrument TilThermometer

BackgroundWork-related musculoskeletal disorders are common among healthcare workers (HCWs) but might be prevented by risk assessment and further promotion of occupational safety and health.The aim of this study was to investigate if the risk assessment instrument TilThermometer can be used to identify risk profiles of physical exposure in HCWs working with patient handling and movement (PHM). Further aims were to describe HCWs’ perceptions and experiences of using the TilThermometer.MethodsThis feasibility study has a mixed design methodology. In total, 54 HCWs from 17 Swedish care units participated and performed risk assessments with the TilThermometer. Data collected from the risk assessments were used to identify risk profiles of physical exposure. HCWs’ experiences of using the TilThermometer were collected from activity logs and analysed qualitatively. Three questionnaires were used to assess perceived acceptability, appropriateness, and feasibility of the risk assessment, and eight study specific questions were used for perceived usefulness.ResultsThe TilThermometer was used at the care units by assessing each care recipient, and when compiling the data at a group level, a summarized risk profile for the care unit could be provided. Risk for physical exposure was reported as high in two work tasks; no care unit used the high-low adjustable seat when showering care recipients sitting down, and 13% used the recommended assistive devices when putting compression stockings on. However, 99% used high-low adjustable assistive devices when caring and bathing care recipients lying down. TilThermometer was described as easy to use, enabling team reflections and providing an overview of the care units’ recipients and workload, but difficulties in categorizing for mobility groups were also reported. The TilThermometer was, on a five-point scale, perceived as acceptable (mean 3.93), appropriate (mean 3.9), and feasible (mean 3.97). These scores are in line with questions evaluating usefulness.ConclusionThe risk assessment provided risk profiles with potential to contribute to care units’ development of a safe patient handling and movement practice. The findings suggest that the TilThermometer can be used to assess risks for physical exposure in relation to patient handling and movement in care units at hospital and nursing homes.

Transition to suicide ideation and attempt among emergency room patients.

Suicidal thoughts and behaviours (STB) represent a persistent and serious public health problem, and suicide is among the leading causes of death worldwide. We focus on predictors of transition rates and time courses through the STB spectrum among psychiatric emergency room (PER) patients. We aimed to investigate (a) whether currently suicidal patients had prior referrals to the PER, (b) for which reason they were previously referred to the PER and (c) the timing of this referral. We performed a retrospective study spanning 20 years with 24 815 PER referrals. Descriptive statistics of patients' sociodemographic and clinical characteristics are provided and expressed as weighted proportions and means. Logistic regression was used to identify risk profiles of patients who had a higher chance of being referred for reasons of STB given their PER history. Multiple imputation and data weighting techniques were implemented. STB among PER patients was persistent and led to repeated referrals (up to five times more likely), often within a short period (18% <1 month). Those previously referred for ideation/plan had 66% higher risk of making the transition to suicide attempt, with 25% making this transition within a month after previous referral. This is similar to the transition from depressed mood to suicide ideation/plan. STBs in PER patients are persistent and lead to repeated referrals, often within a short period, including transitions to more severe forms of STB.

Delineating morbidity patterns in preterm infants at near-term age using a data-driven approach

BackgroundLong-term survival after premature birth is significantly determined by development of morbidities, primarily affecting the cardio-respiratory or central nervous system. Existing studies are limited to pairwise morbidity associations, thereby lacking a holistic understanding of morbidity co-occurrence and respective risk profiles.MethodsOur study, for the first time, aimed at delineating and characterizing morbidity profiles at near-term age and investigated the most prevalent morbidities in preterm infants: bronchopulmonary dysplasia (BPD), pulmonary hypertension (PH), mild cardiac defects, perinatal brain pathology and retinopathy of prematurity (ROP). For analysis, we employed two independent, prospective cohorts, comprising a total of 530 very preterm infants: AIRR (“Attention to Infants at Respiratory Risks”) and NEuroSIS (“Neonatal European Study of Inhaled Steroids”). Using a data-driven strategy, we successfully characterized morbidity profiles of preterm infants in a stepwise approach and (1) quantified pairwise morbidity correlations, (2) assessed the discriminatory power of BPD (complemented by imaging-based structural and functional lung phenotyping) in relation to these morbidities, (3) investigated collective co-occurrence patterns, and (4) identified infant subgroups who share similar morbidity profiles using machine learning techniques.ResultsFirst, we showed that, in line with pathophysiologic understanding, BPD and ROP have the highest pairwise correlation, followed by BPD and PH as well as BPD and mild cardiac defects. Second, we revealed that BPD exhibits only limited capacity in discriminating morbidity occurrence, despite its prevalence and clinical indication as a driver of comorbidities. Further, we demonstrated that structural and functional lung phenotyping did not exhibit higher association with morbidity severity than BPD. Lastly, we identified patient clusters that share similar morbidity patterns using machine learning in AIRR (n=6 clusters) and NEuroSIS (n=8 clusters).ConclusionsBy capturing correlations as well as more complex morbidity relations, we provided a comprehensive characterization of morbidity profiles at discharge, linked to shared disease pathophysiology. Future studies could benefit from identifying risk profiles to thereby develop personalized monitoring strategies.Trial registrationAIRR: DRKS.de, DRKS00004600, 28/01/2013. NEuroSIS: ClinicalTrials.gov, NCT01035190, 18/12/2009.

Correlates of physical activity and sedentary behavior among cancer survivors and cancer-free women: The Women's Health Accelerometry Collaboration.

Describing correlates of physical activity (PA) and sedentary behavior (SB) among postmenopausal cancer survivors can help identify risk profiles and can be used to support development of targeted interventions to improve PA and reduce SB in this population. To describe PA/SB and identify correlates of PA/SB among cancer and cancer-free post-menopausal women. Women from the Women's Health Study (N = 16,629) and Women's Health Initiative/Objective Physical Activity and Cardiovascular Health Study (N = 6,079) were asked to wear an accelerometer on the hip for 7 days. Multiple mixed-effects linear regression models were used to identify sociodemographic-, health-, and chronic condition-related correlates (independent variables) associated with PA and SB (dependent variables) among women with (n = 2,554) and without (n = 20,154) a history of cancer. All correlates were mutually adjusted for each other. In unadjusted analyses, women with a history of cancer took fewer mean daily steps (4,572 (standard deviation 2557) vs 5,029 (2679) steps/day) and had lower mean moderate-to-vigorous PA (74.9 (45.0) vs. 81.6 (46.7) minutes/day) than cancer-free women. In adjusted analyses, for cancer and cancer-free women, age, diabetes, overweight, and obesity were inversely associated with all metrics of PA (average vector magnitude, time in moderate-to-vigorous PA, step volume, time at ≥40 steps/minutes, and peak 30-minute step cadence). In unadjusted analyses, mean SB was similar for those with and without cancer (529.7 (98.1) vs. 521.7 (101.2) minutes/day). In adjusted analyses, for cancer and cancer-free women, age, diabetes, cardiovascular disease, current smoking, overweight, and obesity were positive correlates of SB, while Black or Hispanic race/ethnicity, weekly/daily alcohol intake, and excellent/very good/good self-rated health were inverse correlates of SB. Several sociodemographic, health, and chronic conditions were correlates of PA/SB for postmenopausal women with and without cancer. Future studies should examine longitudinal relationships to gain insight into potential determinants of PA/SB.

Contrasting Objective and Perceived Risk: Predicting COVID-19 Health Behaviors in a Nationally Representative U.S. Sample.

Individuals confronting health threats may display an optimistic bias such that judgments of their risk for illness or death are unrealistically positive given their objective circumstances. We explored optimistic bias for health risks using k-means clustering in the context of COVID-19. We identified risk profiles using subjective and objective indicators of severity and susceptibility risk for COVID-19. Between 3/18/2020-4/18/2020, a national probability sample of 6,514 U.S. residents reported both their subjective risk perceptions (e.g., perceived likelihood of illness or death) and objective risk indices (e.g., age, weight, pre-existing conditions) of COVID-19-related susceptibility and severity, alongside other pandemic-related experiences. Six months later, a subsample (N = 5,661) completed a follow-up survey with questions about their frequency of engagement in recommended health protective behaviors (social distancing, mask wearing, risk behaviors, vaccination intentions). The k-means clustering procedure identified five risk profiles in the Wave 1 sample; two of these demonstrated aspects of optimistic bias, representing almost 44% of the sample. In OLS regression models predicting health protective behavior adoption at Wave 2, clusters representing individuals with high perceived severity risk were most likely to report engagement in social distancing, but many individuals who were objectively at high risk for illness and death did not report engaging in self-protective behaviors. Objective risk of disease severity only inconsistently predicted health protective behavior. Risk profiles may help identify groups that need more targeted interventions to increase their support for public health policy and health enhancing recommendations more broadly.

Exploring burnout in the Italian Armed Forces amid the COVID-19 pandemic: a clustering approach to identify psychological preventing and risk factors

The Italian army played a crucial role in addressing the COVID-19 pandemic by supplying the country with military personnel, sanitary specialists, equipment, and infrastructure. This is the first Italian study involving the entire population of the National Armed forces with the aim of investigating the psychological factors that can protect or pose risks in effectively managing heightened distress. We explored how coping capability and the capacity to face uncertainty can contribute to predicting levels of burnout during the COVID-19 pandemic. A total of 4409 Italian military personnel completed questionnaires assessing burnout, coping style, and intolerance of uncertainty. In addition to the Burnout cut-off levels, a cluster analysis was conducted, integrating the variables of Depersonalization, Emotional Exhaustion, and Personal Gratification in order to identify risk profiles and specific characteristics. Based on the Burnout cut-off levels, military personnel are experiencing higher levels of burnout in the Personal Accomplishment dimension by 23.34% compared to other factors. The application of cluster analysis methodology revealed interesting results: four distinct clusters differed in terms of working factors, intolerance to uncertainty, and coping style. According to regression analysis, the most significant predictors of burnout were emotional-oriented coping and tolerance to uncertainty. The avoidance strategy demonstrated a specific coping function within the Armed Force, distinct from other populations. This study demonstrated that the most effective strategies for preventing burnout are task-oriented coping and tolerating uncertainty. These results implied specific training focusing on the competences could prevent burnout.

Care-related Termination of Employment among Informal Caregivers of Elderly Persons: Identification of a Risk Profile

Employed informal caregivers often experience role conflicts between caring for an elderly person in need of care at home and their employment. The goal of this paper was to identify a risk profile of care-related termination of employment. Analyses are based on the cross-sectional Benefits of Being a Caregiver Study (October 2019 - March 2020) with data from 481 informal caregivers of elderly persons in need of care. The data collected relate to characteristics of the care recipient, the informal caregiver, and the caregiving situation, as well as aspects of the employment situation. The risk profile of care-related cessation of employment is based on a binary logistic regression. Approximately one in nine in the present sample (n=55) terminated employment because of having to offer informal care to an elderly person at home. Factors characterizing the risk profile of a care-related termination of employment were female gender of the caregivers, younger age of the care receiver, co-residence with the care receiver, and a higher care level of the care receiver. In order to reduce care-related cessation of employment, support and relief services need to be adapted to the factors of the identified risk profile. In particular, the form and content of informal caregiver counselling should be modified in order to reach informal caregivers at an early stage. Adapted support programs should focus on and reach in particular female employed caregivers.

Exploring the intersection of obesity and gender in COVID-19 outcomes in hospitalized Mexican patients: a comparative analysis of risk profiles using unsupervised machine learning.

Obesity and gender play a critical role in shaping the outcomes of COVID-19 disease. These two factors have a dynamic relationship with each other, as well as other risk factors, which hinders interpretation of how they influence severity and disease progression. This work aimed to study differences in COVID-19 disease outcomes through analysis of risk profiles stratified by gender and obesity status. This study employed an unsupervised clustering analysis, using Mexico's national COVID-19 hospitalization dataset, which contains demographic information and health outcomes of patients hospitalized due to COVID-19. Patients were segmented into four groups by obesity and gender, with participants' attributes and clinical outcome data described for each. Then, Consensus and PAM clustering methods were used to identify distinct risk profiles based on underlying patient characteristics. Risk profile discovery was completed on 70% of records, with the remaining 30% available for validation. Data from 88,536 hospitalized patients were analyzed. Obesity, regardless of gender, was linked with higher odds of hypertension, diabetes, cardiovascular diseases, pneumonia, and Intensive Care Unit (ICU) admissions. Men tended to have higher frequencies of ICU admissions and pneumonia and higher mortality rates than women. Within each of the four analysis groups (divided based on gender and obesity status), clustering analyses identified four to five distinct risk profiles. For example, among women with obesity, there were four profiles; those with a hypertensive profile were more likely to have pneumonia, and those with a diabetic profile were most likely to be admitted to the ICU. Our analysis emphasizes the complex interplay between obesity, gender, and health outcomes in COVID-19 hospitalizations. The identified risk profiles highlight the need for personalized treatment strategies for COVID-19 patients and can assist in planning for patterns of deterioration in future waves of SARS-CoV-2 virus transmission. This research underscores the importance of tackling obesity as a major public health concern, given its interplay with many other health conditions, including infectious diseases such as COVID-19.

#mybestmidlife: Profiles of photo-based social media use and body image among midlife women

Empirical data, predominantly from young women, suggest photo-based social media use is associated with greater body dissatisfaction. The present study aimed to extend these findings to midlife women and identify risk profiles for maladaptive appearance-focused social media use. A convenience sample of female Instagram users aged 40 or over (M= 50.92 years) (n = 192) was collected. Most participants were partnered, white, highly educated, and heterosexual. A cluster analysis in cross-sectional data grouped participants into four categories according to body image indices (following body positive or fitness accounts, body appreciation and dissatisfaction, thin and muscular ideal internalization, and appearance comparison). Differences by cluster emerged according to indices of social media use (e.g., photo editing, social media rumination), although following appearance-related content across types seemed to distinguish risk profiles more than the types of appearance-related content engaged with (i.e., body positive vs fitness). Furthermore, results indicated that higher social media use was associated with greater perceived negative effects of social media, suggesting that awareness alone may be insufficient to reduce behavioral risk. Findings indicate that some midlife women who use photo-based social media may be at high risk for appearance concerns, warranting further research and resource development for this group.

Risk profiles of adults with heavy alcohol use: Drinking patterns, behavioral and metabolic factors, health problems, and racial and ethnic disparities.

Heavy alcohol use is a growing risk factor for chronic disease, yet little is known about its co-occurrence with other risk factors and health problems. This study aimed to identify risk profiles of adults with heavy alcohol use and examined potential disparities by race and ethnicity. This cross-sectional study included 211,333 adults with heavy alcohol use (in excess of daily or weekly limits recommended by National Institute on Alcohol Abuse and Alcoholism) between June 1, 2013 and December 31, 2014 in Kaiser Permanente Northern California. Latent class analysis was used to examine how heavy drinking patterns clustered with other behavioral and metabolic risk factors and health problems to form risk profiles. Multinomial logistic regression models were fit to examine associations between race, ethnicity, and risk profiles. A 5-class model was selected as best fitting the data and representing clinically meaningful risk profiles: (1) "heavy daily drinking and lower health risks" (DAILY, 44.3%); (2) "substance use disorder and mental health disorder" (SUD/MH, 2.3%); (3) "heavy weekly drinking and lower health risks" (WEEKLY, 19.6%); (4) "heavy daily drinking and more health risks" (DAILY-R, 18.5%); (5) "heavy weekly drinking and more health risks" (WEEKLY-R, 15.3%). American Indian or Alaska Native (AIAN) and Black patients had higher odds than White patients of being in the SUD/MH, DAILY-R, and WEEKLY-R profiles than the DAILY profile. AIAN, Black, and Latino/Hispanic patients had higher odds than White patients of being in the SUD/MH, DAILY-R, and WEEKLY-R profiles rather than the WEEKLY profile. AIAN, Black, and Latino/Hispanic patients with self-reported heavy drinking were more likely to be in risk profiles with greater alcohol consumption, more health risks, and higher morbidity. Targeted, culturally appropriate interventions for heavy alcohol use that may address other modifiable risk factors are needed to work towards health equity.

Identifying Risk Profiles for Nonadherence to the 24-Hour Movement Guidelines for Children and Youth 6 Months Into the COVID-19 Pandemic.

The purposes of the current study were to identify risk profiles for nonadherence among children and youth (5-17y) at the 6-month mark of the COVID-19 pandemic and to discuss similarities and differences between risk profiles identified in the current study and those identified at the 1-month mark of the pandemic. Data were part of a nationally representative sample of 1143 parents (Mage = 43.07y, SD = 8.16) of children and youth (5-17y) living in Canada. Survey data were collected in October 2020. Results showed that 3.8% met all movement behavior recommendations, 16.2% met the physical activity recommendation, 27% met the screen time recommendation, and 63.8% met the sleep recommendation. Characteristics associated with nonadherence to all movement behaviors included low parental perceived capability to restrict screen time and decreased overall time spent outdoors. Characteristics associated with nonadherence to the physical activity and screen time recommendations included youth (12-17y), low parental perceived capability to restrict screen time, decreased time spent outdoors, and increased screen time. Results emphasized the importance of parental perceived capability to restrict screen time and children's and youth's outdoor time and showed that pandemic-related factors have impacted children and youth differently.

Differences in white matter hyperintensities in socioeconomically deprived groups: results of the population-based LIFE Adult Study.

Previous studies have shown that socioeconomically deprived groups exhibit higher lesion load of the white matter (WM) in aging. The aim of this study was to (i) investigate to what extent education and income may contribute to differences in white matter hyperintensities (WMHs) and (ii) identify risk profiles related to a higher prevalence of age-associated WMH. Population-based adult study of the Leipzig Research Centre for Civilization Diseases (LIFE) in Leipzig, Germany. Dementia-free sample aged 40-80 years (n = 1,185) derived from the population registry. Information was obtained in standardized interviews. WMH (including the derived Fazekas scores) were assessed using automated segmentation of high-resolution T1-weighted anatomical and fluid-attenuated inversion recovery (FLAIR) MRI acquired at 3T. Despite a significant association between income and WMH in univariate analyses, results from adjusted models (age, gender, arterial hypertension, heart disease, and APOE e4 allele) indicated no association between income and WMH. Education was associated with Fazekas scores, but not with WMH and not after Bonferroni correction. Prevalence of some health-related risk factors was significantly higher among low-income/education groups. After combining risk factors in a factor analysis, results from adjusted models indicated significant associations between higher distress and more WMH as well as between obesity and more deep WMH. Previously observed differences in WMH between socioeconomically deprived groups might stem from differences in health-related risk factors. These risk factors should be targeted in prevention programs tailored to socioeconomically deprived individuals.

Ecological and Specific Evidence-Based Safe Return To Play After Anterior Cruciate Ligament Reconstruction In Soccer Players: A New International Paradigm.

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