249 research outputs found

    Socio‐emotional, cognitive, affective disorders and substance use in a sample of students in first‐ and second‐grade high school in Italy: A comparison among students', parents', and teachers' perceptions

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    Abstract The closure of schools, social hubs, and extracurricular activities due to lockdown measures imposed to curb the spread of SARS‐CoV‐2, has increased the risk factors for students' mental health. This cross‐sectional study, conducted from March 2020 to March 2021, aimed to estimate socio‐emotional, cognitive, and affective disorders and substance use in a sample of first‐ and second‐grade high school students in Northern Italy. This study compared data from 284 Italian students' self‐perceptions along with the perceptions of their parents and teachers through a web‐based survey. The differences in the perceptions of the three groups (students, parents, and teachers) were analyzed using an analysis of variance test, applying a Bonferroni correction. The χ 2 test was used to assess the comparison between students, parents, and teachers in the substance use questions. The results showed statistically significant differences among the three groups. The most important outcomes were sociality, scholastic performance, extracurricular activity, emotional symptoms, affective disorders (depression and anxiety), and substance use. These findings could be interesting for the promotion of mental health and prevention of psychopathological risks in students

    Loneliness, affective disorders, suicidal ideation, and the use of psychoactive substances in a sample of adolescents during the COVID-19 pandemic: A cross-sectional study

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    Abstract Problem: The global coronavirus (COVID‐19) pandemic has been challenging for adolescents. Indeed, with the closure of schools and social centers and reduction of extracurricular activities, increased social isolation has compounded difficulties in and with school performance, loneliness, and social networking. Increased risk of mental health problems, substance abuse, affective disorders, suicidal ideation, and suicide has been reported in adolescents. Methods: This cross‐sectional study assesses the association between loneliness, depression, anxiety, suicidal ideation, the use of social networks, and school achievement in a sample of Italian adolescents during the COVID‐19 pandemic. This study also explores emotional dysregulation through the association between affective disorders (depression and anxiety), substance use, and social networks. The sample comprises adolescents in the first and second grades of high school during the pandemic; participants received an email explaining the purpose of the e‐research. Data were collected using the Strengths and Difficulties Questionnaire, the Achenbach System of Empirically Based Assessment, and the Loneliness Scale. Findings: A total of 505 adolescents completed the web survey. Data revealed that students experienced difficulties with loneliness, problems with school achievement, and extracurricular activities. The mean scores for depression and anxiety were close to the borderline range. A total of 14.3% of adolescents intentionally harmed themselves or attempted suicide. Conclusions: This study raises concerns about the impacts of the pandemic on adolescents that require the attention of adult reference figures who deal with adolescents, such as parents, teachers, and healthcare professionals. Results indicate the necessity of providing early interventions aimed at the prevention of psychopathol ogies and the promotion of adolescent mental health due to the pandemic

    Digital health for chronic disease management: An exploratory method to investigating technology adoption potential

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    INTRODUCTION The availability of consumer-facing health technologies for chronic disease management is skyrocketing, yet most are limited by low adoption rates. Improving adoption requires a better understanding of a target population's previous exposure to technology. We propose a low-resource approach of capturing and clustering technology exposure, as a mean to better understand patients and target health technologies. METHODS Using Multiple Sclerosis (MS) as a case study, we applied exploratory multivariate factorial analyses to survey data from the Swiss MS Registry. We calculated individual-level factor scorings, aiming to investigate possible technology adoption clusters with similar digital behavior patterns. The resulting clusters were transformed using radar and then compared across sociodemographic and health status characteristics. RESULTS Our analysis included data from 990 respondents, resulting in three clusters, which we defined as the (1) average users, (2) health-interested users, and (3) low frequency users. The average user uses consumer-facing technology regularly, mainly for daily, regular activities and less so for health-related purposes. The health-interested user also uses technology regularly, for daily activities as well as health-related purposes. The low-frequency user uses technology infrequently. CONCLUSIONS Only about 10% of our sample has been regularly using (adopting) consumer-facing technology for MS and health-related purposes. That might indicate that many of the current consumer-facing technologies for MS are only attractive to a small proportion of patients. The relatively low-resource exploratory analyses proposed here may allow for a better characterization of prospective user populations and ultimately, future patient-facing technologies that will be targeted to a broader audience

    Fatigue, sleepiness and depression in multiple sclerosis: defining the overlaps for a better phenotyping.

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    BACKGROUND AND OBJECTIVES To define the boundaries and the overlaps between fatigue, sleepiness and depression in patients with multiple sclerosis (MS) by using different tools for each dimension, including instrumental sleep analysis. METHODS In this cross-sectional, observational study, 71 MS patients (males/females: 20/51; mean age: 48.9 ± 10.5 years) filled in clinical questionnaires and performed polysomnography followed by maintenance of wakefulness test (MWT). Frequency and reciprocal overlap of sleepiness, fatigue and depression in MS were expressed by Eulero-Venn diagrams; standard multiple regression was used to assess the ability of symptoms to predict each other. RESULTS There was a high percentage of fatigued (70%), somnolent (45%) and depressed (27%) patients. Fatigue had the strongest overlap and correlated with both depression (beta: 0.52, p < 0.001) and sleepiness (beta: 0.74, p < 0.001). Somnolence and depression were nearly always accompanied by fatigue and were well differentiated from each other by MWT. Four MS subgroups were identified that had: (1) fatigue only; (2) fatigue and sleepiness (3) fatigue and depression; (4) fatigue, sleepiness and depression. DISCUSSION The subjective and objective tools are not able to clearly distinguish fatigue from sleepiness and depression, while only a test of vigilance can be helpful in separating somnolence and depression from each other

    Interferon beta 1b following natalizumab discontinuation: one year, randomized, prospective, pilot trial

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    Background: Natalizumab (NTZ) discontinuation leads to multiple sclerosis reactivation. The objective of this study is to compare disease activity in MS patients who continued on NTZ treatment to those who were switched to subcutaneous interferon 1b (IFNB) treatment. Methods: 1-year randomized, rater-blinded, parallel-group, pilot study (ClinicalTrial.gov ID: NCT01144052). Relapsing remitting MS patients on NTZ for ≄12 months who had been free of disease activity on this therapy (no relapses and disability progression for ≄6 months, no gadolinium-enhancing lesions on baseline MRI) were randomized to NTZ or IFNB. Primary endpoint was time to first on-study relapse. Additional clinical, MRI and safety parameters were assessed. Analysis was based on intention to treat. Results: 19 patients (NTZ n=10; IFNB n=9) with similar baseline characteristics were included. 78% of IFNB treated patients remained relapse free (NTZ group: 100%), and 25% remained free of new T2 lesions (NTZ group: 62.5%). While time to first on-study relapse was not significantly different between groups (p=0.125), many secondary clinical and radiological endpoints (number of relapses, proportion of relapse free patients, number of new T2 lesions) showed a trend, or were significant (new T2 lesions at month 6) in favoring NTZ. Conclusions: De-escalation therapy from NTZ to IFNB over 1 year was associated with some clinical and radiological disease recurrence. Overall no major safety concerns were observed
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