Associations of active and passive smartphone use with measures of youth mental health during the COVID-19 pandemic.

Smartphone use provides a significant amount of screen-time for youth, and there have been growing concerns regarding its impact on their mental health. While time spent in a passive manner on the device is frequently considered deleterious, more active engagement with the phone might be protective for mental health. Recent developments in mobile sensing technology provide a unique opportunity to examine behaviour in a naturalistic manner. The present study sought to investigate, in a sample of 451 individuals (mean age 20.97 years old, 83% female), whether the amount of time spent on the device, an indicator of passive smartphone use, would be associated with worse mental health in youth and whether an active form of smartphone use, namely frequent checking of the device, would be associated with better outcomes. The findings highlight that overall time spent on the smartphone was associated with more pronounced internalizing and externalizing symptoms in youth, while the number of unlocks was associated with fewer internalizing symptoms. For externalizing symptoms, there was also a significant interaction between the two types of smartphone use observed. Using objective measures, our results suggest interventions targeting passive smartphone use may contribute to improving the mental health of youth.

Nightmare frequency and nightmare distress during the COVID-19 pandemic.

STUDY OBJECTIVES: The current study investigated nightmare frequency and distress during the pandemic and associated factors. METHODS: 1718 participants completed a survey, 747 of which were youth. The MADRE dream questionnaire was used to collect self-reported data on nightmare frequency and distress. In addition, personality traits, current stressors and COVID-related anxiety were also measured. An ordinal regression model was used for statistical analysis, and p < 0.05 was considered significant. RESULTS: The findings from this study suggest (1) COVID-related anxiety is associated with the frequency of nightmares and the severity of nightmare distress experienced by a person; and (2) findings support the continuity hypothesis, which suggests waking life experiences are related to nightmares; and (3) increased COVID-related anxiety contributes independently to nightmare frequency. COVID-related anxiety appeared to be more prevalent within adults (p<.001, effect size = 0.18) compared to youth. Similar results were found for nightmare distress. CONCLUSIONS: The risk of nightmares may have increased due to disruptions in mental health and sleep caused by the COVID-19 crisis. These findings may be important in clinician efforts to understand nightmares and the risk of problematic sleep during the pandemic.

Dream Recall Frequency, Lucid Dream Frequency, and Personality During the Covid-19 Pandemic

Dream recall frequency and lucid dream frequency showed large inter-individual differences that are partly related to personality dimensions. However, as dream research is a small field, independent studies are necessary to build a solid empirical foundation. The present online survey included 1,537 participants (1150 women, 387 men) with a mean age of 35.1?±?15.8 years. Whereas the relationship between openness to experience and dream recall frequency was in line with previous research ? supporting the life-style hypothesis of dream recall, the associations between the Big Five personality factors and lucid dream frequency are less homogenous;for example, the negative relationship between neuroticism and lucid dream frequency. Even though the effect sizes of these associations are small, the findings can help in identifying links between waking and dreaming. Moreover, it was found that lucid dream frequency was related to Covid-19-related worries, whereas dream recall frequency was not.

Extended Reality for Mental Health Evaluation -A Scoping Review (preprint)

Mental health disorders are the leading cause of health-related problems globally. It is projected that mental health disorders will be the leading cause of morbidity among adults as the incidence rates of anxiety and depression grows globally. Recently, extended reality (XR), a general term covering virtual reality (VR), augmented reality (AR) and mixed reality (MR), is paving a new way to deliver mental health care. In this paper, we conduct a scoping review on the development and application of XR in the area of mental disorders. We performed a scoping database search to identify the relevant studies indexed in Google Scholar, PubMed, and the ACM Digital Library. A search period between August 2016 and December 2023 was defined to select articles related to the usage of VR, AR, and MR in a mental health context. We identified a total of 85 studies from 27 countries across the globe. By performing data analysis, we found that most of the studies focused on developed countries such as the US (16.47%) and Germany (12.94%). None of the studies were for African countries. The majority of the articles reported that XR techniques led to a significant reduction in symptoms of anxiety or depression. More studies were published in the year 2021, i.e., 31.76% (n = 31). This could indicate that mental disorder intervention received a higher attention when COVID-19 emerged. Most studies (n = 65) focused on a population between 18 and 65 years old, only a few studies focused on teenagers (n = 2). Also, more studies were done experimentally (n = 67, 78.82%) rather than by analytical and modeling approaches (n = 8, 9.41%). This shows that there is a rapid development of XR technology for mental health care. Furthermore, these studies showed that XR technology can effectively be used for evaluating mental disorders in similar or better way as the conventional approaches.

Homeschooling during COVID-19: Gender Differences in Work–Family Conflict and Alcohol Use Behaviour among Romantic Couples

Homeschooling due to COVID-19 school closures is likely to increase conflict between work and family demands, potentially leading to adverse substance-use effects. We conducted a survey with 758 couples focusing on homeschooling, work–family conflict, and alcohol use (April 2020). The 211 homeschooling couples reported more work–family conflict than the 547 non-homeschooling couples;there also were stronger effects on family interference with work in women. Among the homeschooling couples, homeschooling hours were associated with greater partner drinking. In distinguishable dyad analyses by gender, women’s hours homeschooling were associated with greater drinking frequency by both parents. Men’s hours homeschooling were associated with lower drinking frequency in their partners. Increased work–family conflict in homeschooling couples is particularly worrisome given its link to increased stress and poor mental health. Moreover, women’s increased drinking may impede their ability to support their families during the pandemic. Men’s increased drinking could put homeschooling mothers at risk for escalating conflict/domestic violence, given links of male drinking to intimate partner violence. Finally, the protective-partner effects of men’s homeschooling hours on women’s drinking frequency suggests that more egalitarian division of homeschooling labor may have protective cross-over effects.

Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach.

BACKGROUND: The COVID-19 pandemic has caused a global health crisis that affects many aspects of human lives. In the absence of vaccines and antivirals, several behavioral change and policy initiatives such as physical distancing have been implemented to control the spread of COVID-19. Social media data can reveal public perceptions toward how governments and health agencies worldwide are handling the pandemic, and the impact of the disease on people regardless of their geographic locations in line with various factors that hinder or facilitate the efforts to control the spread of the pandemic globally. OBJECTIVE: This paper aims to investigate the impact of the COVID-19 pandemic on people worldwide using social media data. METHODS: We applied natural language processing (NLP) and thematic analysis to understand public opinions, experiences, and issues with respect to the COVID-19 pandemic using social media data. First, we collected over 47 million COVID-19-related comments from Twitter, Facebook, YouTube, and three online discussion forums. Second, we performed data preprocessing, which involved applying NLP techniques to clean and prepare the data for automated key phrase extraction. Third, we applied the NLP approach to extract meaningful key phrases from over 1 million randomly selected comments and computed sentiment score for each key phrase and assigned sentiment polarity (ie, positive, negative, or neutral) based on the score using a lexicon-based technique. Fourth, we grouped related negative and positive key phrases into categories or broad themes. RESULTS: A total of 34 negative themes emerged, out of which 15 were health-related issues, psychosocial issues, and social issues related to the COVID-19 pandemic from the public perspective. Some of the health-related issues were increased mortality, health concerns, struggling health systems, and fitness issues; while some of the psychosocial issues were frustrations due to life disruptions, panic shopping, and expression of fear. Social issues were harassment, domestic violence, and wrong societal attitude. In addition, 20 positive themes emerged from our results. Some of the positive themes were public awareness, encouragement, gratitude, cleaner environment, online learning, charity, spiritual support, and innovative research. CONCLUSIONS: We uncovered various negative and positive themes representing public perceptions toward the COVID-19 pandemic and recommended interventions that can help address the health, psychosocial, and social issues based on the positive themes and other research evidence. These interventions will help governments, health professionals and agencies, institutions, and individuals in their efforts to curb the spread of COVID-19 and minimize its impact, and in reacting to any future pandemics.

Mobile Sensing Apps and Self-management of Mental Health During the COVID-19 Pandemic: Web-Based Survey.

BACKGROUND: During the COVID-19 pandemic, people had to adapt their daily life routines to the currently implemented public health measures, which is likely to have resulted in a lack of in-person social interactions, physical activity, or sleep. Such changes can have a significant impact on mental health. Mobile sensing apps can passively record the daily life routines of people, thus making them aware of maladaptive behavioral adjustments to the pandemic. OBJECTIVE: This study aimed to explore the views of people on mobile sensing apps that passively record behaviors and their potential to increase awareness and helpfulness for self-managing mental health during the pandemic. METHODS: We conducted an anonymous web-based survey including people with and those without mental disorders, asking them to rate the helpfulness of mobile sensing apps for the self-management of mental health during the COVID-19 pandemic. The survey was conducted in May 2020. RESULTS: The majority of participants, particularly those with a mental disorder (n=106/148, 72%), perceived mobile sensing apps as very or extremely helpful for managing their mental health by becoming aware of maladaptive behaviors. The perceived helpfulness of mobile sensing apps was also higher among people who experienced a stronger health impact of the COVID-19 pandemic (ß=.24; 95% CI 0.16-0.33; P<.001), had a better understanding of technology (ß=.17; 95% CI 0.08-0.25; P<.001), and had a higher education (ß=.1; 95% CI 0.02-0.19; P=.02). CONCLUSIONS: Our findings highlight the potential of mobile sensing apps to assist in mental health care during the pandemic.