scholarly journals Differential effects of COVID-19 and containment measures on mental health: Evidence from ITA.LI—Italian Lives, the Italian household panel

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259989
Author(s):  
Mario Lucchini ◽  
Tiziano Gerosa ◽  
Marta Pancheva ◽  
Maurizio Pisati ◽  
Chiara Respi ◽  
...  

This study used a subsample of a household panel study in Italy to track changes in mental health before the onset of COVID-19 and into the first lockdown period, from late April to early September 2020. The results of the random-effects regression analyses fitted on a sample of respondents aged 16 years and older (N = 897) proved that there was a substantial and statistically significant short-term deterioration in mental health (from 78,5 to 67,9; β = -10.5, p < .001; Cohen’s d -.445), as measured by a composite index derived from the mental component of the 12-item Short-Form Health Survey (SF-12). The findings also showed heterogeneity in the COVID-related effects. On the one hand, evidence has emerged that the pandemic acted as a great leveller of pre-existing differences in mental health across people of different ages: the decrease was most pronounced among those aged 16–34 (from 84,2 to 66,5; β = -17.7, p < .001; Cohen’s d -.744); however, the magnitude of change reduced as age increased and turned to be non-significant among individuals aged 70 and over. On the other hand, the COVID-19 emergency widened the mental health gender gap and created new inequalities, based on the age of the youngest child being taken care of within the household.

2020 ◽  
Author(s):  
Kate Daley

Background: Mental health difficulties are highly prevalent yet access to support is impeded by barriers of stigma, cost and availability. These issues are even more prevalent in low- and middle-income countries, and use of digital technology is one way to overcome these barriers. Digital health interventions have been shown to be effective but often struggle with low engagement rates, particularly in the absence of any human support. Chatbots could offer a scalable solution, simulating human support at a lower cost. Objective: To complete a preliminary evaluation of engagement and effectiveness of Vitalk, a mental health chatbot, at reducing anxiety, depression and stress. Methods: Real world data was analysed from 3629 Vitalk users who had completed the first phase of a Vitalk program (‘less anxiety’, ‘less stress’ or ‘better mood’). Programs were delivered through written conversation with the chatbot. Engagement was calculated from the number of responses sent to the chatbot divided by days in the program. Results: Users sent an average of 8.17 responses / day. For all three programs, target outcome scores reduced between baseline and follow up with large effect sizes for anxiety (Cohen's d = -0.85), depression (Cohen's d = -0.91) and stress (Cohen's d =-0.81). Increased engagement resulted in improved post-intervention values for anxiety and depression. Conclusion: This study highlights the potential of a chatbot to reduce mental health symptoms in the general population within Brazil. Whilst findings show promise, further research is required.


Author(s):  
Audrey G. Evers ◽  
Jessica A Somogie ◽  
Ian L. Wong ◽  
Jennifer D. Allen ◽  
Adolfo G. Cuevas

The objective of this study was to examine the effectiveness of a pilot mindfulness program for student athletes by assessing mental health, mindfulness ability, and perceived stress before and after the intervention. The mindfulness program was adapted from a program developed at the University of Southern California. The four-session intervention taught the basics of mindfulness, self-care skills, and guided meditations. Participants completed surveys before and after the intervention. Mindfulness ability was assessed with the Cognitive and Affective Mindfulness Scale, mental health was assessed with a modified Short Form Health Survey, and stress was assessed with the Perceived Stress Scale. After the intervention, participants reported improvement in mindfulness ability, t(28) = −2.61, p =  .014, mental health, t(28)  =  −2.87, p =  .008, and a trending improvement in perceived stress, t(28)  =  1.86, p =  .073. A short mindfulness program may be effective for improving mental health and mindfulness ability in collegiate student athletes.


2020 ◽  
Vol 2 ◽  
Author(s):  
Kate Daley ◽  
Ines Hungerbuehler ◽  
Kate Cavanagh ◽  
Heloísa Garcia Claro ◽  
Paul Alan Swinton ◽  
...  

Background: Mental health difficulties are highly prevalent, yet access to support is limited by barriers of stigma, cost, and availability. These issues are even more prevalent in low- and middle-income countries, and digital technology is one potential way to overcome these barriers. Digital mental health interventions are effective but often struggle with low engagement rates, particularly in the absence of human support. Chatbots could offer a scalable solution, simulating human support at a lower cost.Objective: To complete a preliminary evaluation of engagement and effectiveness of Vitalk, a mental health chatbot, at reducing anxiety, depression and stress.Methods: Real world data was analyzed from 3,629 Vitalk users who had completed the first phase of a Vitalk program (“less anxiety,” “less stress” or “better mood”). Programs were delivered through written conversation with a chatbot. Engagement was calculated from the number of responses sent to the chatbot divided by days in the program.Results: Users sent an average of 8.17 responses per day. For all three programs, target outcome scores reduced between baseline and follow up with large effect sizes for anxiety (Cohen's d = −0.85), depression (Cohen's d = −0.91) and stress (Cohen's d = −0.81). Increased engagement resulted in improved post-intervention values for anxiety and depression.Conclusion: This study highlights a chatbot's potential to reduce mental health symptoms in the general population within Brazil. While findings show promise, further research is required.


2021 ◽  
Vol 8 ◽  
Author(s):  
Chengbin Liu ◽  
Danxia Liu ◽  
Ning Huang ◽  
Mingqi Fu ◽  
Jam Farooq Ahmed ◽  
...  

The mental health problems might have been increased owing to the COVID-19 pandemic with the commencement of the year 2020, therefore, an epidemiological survey appraising the burden of mental health issues among the general population is imperative. This cross-sectional study attempts to reveal the underlying mental health conditions, such as Post-Traumatic Stress Symptoms (PTSS), depression, and insomnia, relating to the pandemic situation, and to further examine the combined effects of gender and age on the COVID-19 related mental health consequences. An online survey was conducted among 2,992 adults in China from February 1st 2020 to February 10th 2020. The study uses binary logistic regression to analyze the potential factors associated with PTSD, depression, and insomnia. The results indicate that the prevalence of PTSS, depression, and insomnia are 19.5, 26.9, and 19.6% respectively during the COVID-19. Men and women show different rates of PTSS and depression, whereas no insomnia is found in both males and females. The females above 50 years of age have a lower level of depressive symptoms (OR = 0.448, 95%CI: 0.220–0.911, Cohen's d = −0.443) as compared with females aged 18–25; while the highest effect sizes for PTSS (OR = 2.846, 95%CI: 1.725–4.695, Cohen's d = 0.537) and the depression (OR = 2.024, 95%CI: 1.317–3.111, Cohen's d = 0.314) are seen in males aged 26 to 30. Besides gender, education, living conditions, direct exposure to COVID-19, the post mental and the physical health condition is related to PTSS, depression, and insomnia. Our study suggests that high-risk groups, especially those having two or more related factors and young men, should be the focus of mental health intervention.


2019 ◽  
Vol 9 (1) ◽  
pp. 11-23 ◽  
Author(s):  
Nicholas Chadi ◽  
Elli Weisbaum ◽  
Catherine Malboeuf-Hurtubise ◽  
Sara Ahola Kohut ◽  
Christine Viner ◽  
...  

Background: Mindfulness-Based Interventions (MBIs) can improve mental health and well-being in adolescents with chronic illnesses. However, there are many barriers such as reduced mobility and distance which compromise accessibility to MBIs. Objective: The aim of this study was to determine the effectiveness of the Mindful Awareness and Resilience Skills for Adolescents (MARS-A) program in youth with chronic illnesses delivered in person or via eHealth. Method: In this mixed method randomized controlled trial, participants received weekly 90- minute long MARS-A sessions for 8 weeks, either in person or via a secure eHealth audiovisual platform allowing group interactions in real time. Data was collected at baseline, immediately after and two months post-MBI through saliva analyses, electronic participant logs and validated questionnaires assessing mindfulness skills and mental health outcomes. Results: Seven participants per group completed the intervention (total n=14, completion rate 77.8%). Paired t-test analyses revealed a significant reduction in depression/anxiety scores immediately post-intervention (p=0.048, Cohen’s d=0.934) and a significant reduction in pre-post mindfulness cortisol levels at week 8 (p=0.022, Cohen’s d=0.534) in the eHealth group. Frequency and duration of weekly individual home practice (eHealth: 6.5 times; 28.8 minutes; in-person: 6.0 times; 30.6 minutes) were similar in both groups and maintained at follow-up. Conclusion: This is the first study comparing in-person and eHealth delivery of an 8-week MBI for adolescents with chronic illnesses. Although the study was limited by the small size of the sample, our results suggest that eHealth delivery of MBIs may represent a promising avenue for increasing availability in this population.


2022 ◽  
Author(s):  
Fan Nils Yang ◽  
Weizhen Xie ◽  
Ze Wang

Importance: Adolescents nowadays often get insufficient sleep. Yet, the long-term adverse effects of sleep loss on developing brain and behavior remains unknown. Objective: To determine whether insufficient sleep leads to long-lasting impacts on mental health, cognition, and brain development in adolescents across two years. Design: This longitudinal study utilized a public dataset, the Adolescent Brain Cognitive Development (ABCD) study, which is an ongoing study starting from 2016. Setting: Data were collected from 21 research sites in the U.S. Participants: 11,875 9-10-year-olds were recruited using stratified sampling in order to reflect the diversity of the U.S. population. Intervention: Individuals with sufficient versus insufficient sleep (< 9 hours per day for adolescents) were compared after controlling for age (months), sex, race, puberty status, and other 7 covariates based on propensity score matching. Main Outcomes and Measures: Behavior problems, cognition, mental health assessments, resting-state functional connectivity, gray matter volume, cortical area, cortical thickness, and structural connectivity (Fractional anisotropy) were collected and preprocessed by the ABCD study. Independent-sample t-tests and meditation analysis were performed to investigate the effects of insufficient sleep. Results: 3021 matched pairs (50.7% male) were identified based on baseline assessment, with mean (SD) age of 119.5 (7.5) months. In baseline, sufficient sleep is associated less behavioral problems on 18 of 20 assessments, e.g. depress (95% CI of mean difference: -0.28 to -0.47, false discovery rate (FDR)-corrected p < .001, Cohen's d = -0.20), better cognitive performance on 7 of 10 assessments, such as crystal cognition (95% CI: 0.81 to 1.50, FDR-corrected p < .001, Cohen's d = 0.17), better functional connection between cortical regions and basal ganglia (all FDR-corrected p < .05, Cohen's d >0.15), and large structure in ACC and temporal pole (all FDR-corrected p < .05, Cohen's d >0.09). Similar patterns of effect of sufficient sleep were found in FL2 (749 pairs remained) e.g. Cohen's d of function connectivity at baseline was correlated with Cohen's d of that at FL2 (r = 0.54, 95% CI: 0.45 to 0.61, p < 1e-10). Mediation and longitudinal mediation analysis revealed that identified brain measures (e.g. gray matter volume of left temporal pole) at baseline mediated the effect of sufficient sleep on behavioral assessments (e.g. crystal cognition) at baseline and at FL2 (95% CI did not encompass 0, p < 0.05 on 100,000 random-generated bootstrapped samples). Conclusions and Relevance: These results provide strong population-level evidence for the long-lasting detrimental effects of insufficient sleep on mental health, cognition, and brain function and structure in adolescents. The current study identified potential neural mechanisms of adverse effect of insufficient sleep in adolescents, which might provide a theoretical grounding for sleep intervention programs to improve the long-term developmental outcomes in adolescents.


Author(s):  
Zhanxin Sha ◽  
Boyi Dai

Abstract Background Previous studies have typically measured velocity and power parameters during the push-up, either using one or two force platforms. The purpose of the study was to compare the force, velocity, and power parameters between the one-force-platform method and the two-force-platform method during plyometric push-ups. Methods Thirty-four physically active young adults participated in the study to perform the plyometric push-up. For the two-force-platform calculation method, the forces applied to the feet and hands were both measured. For the one-force-platform calculation method, the forces applied to the feet were assumed to be constant, while the forces applied to hands were measured by one force platform. Whole-body linear velocities were calculated based on the impulse and momentum theorem. Whole-body power was calculated as the product of the whole-body forces and velocities. Results The one-force-platform method overestimated the whole-body velocities and power compared with the two-force-platform method (1.39 ± 0.37 m/s vs. 0.90 ± 0.23 m/s, Cohen’s d = 1.59, p < 0.05; 1.63 ± 0.47 W/body weight vs. 1.03 ± 0.29 W/body weight, Cohen’s d = 1.49, p < 0.05). These differences were caused by the decreased forces applied to the feet compared to the initial value throughout most of the push-up phase. Large to perfect correlations (r = 0.55 – 0.99) were found for most variables between the two-force-platform and one-force-platform methods. Previous findings of push-up velocities and power using the two-force-platform and one-force-platform methods should be compared with caution. While the two-force-platform method is recommended, linear regression equations may be used to predict velocities and power parameters obtained from one force platform. Conclusions For those professionals who need to accurately quantify kinetic variables during the plyometric push-up, the two-force-platform method should be considered.


2020 ◽  
Vol 11 ◽  
Author(s):  
Agnes Yuen-kwan Lai ◽  
Letitia Lee ◽  
Man-ping Wang ◽  
Yibin Feng ◽  
Theresa Tze-kwan Lai ◽  
...  

Background: The coronavirus disease 2019 (COVID-19) pandemic has disrupted university teaching globally. The mental health impacts on international university students have been overlooked.Aims: This study examined the differences in COVID-19-related stressors and mental health impacts between international university students studying in the UK or USA who returned to their home country or region (returnees) and those who stayed in their institution country (stayers), and identified COVID-19-related stressors and coping strategies that were predictors of mental health.Method: An online questionnaire survey was conducted from April 28 through May 12, 2020 using an exponential, non-discriminative snowball sampling strategy (registered at the National Institutes of Health: NCT04365361).Results: A total of 124 full-time international university students (36.3% male) were included: 75.8% had returned to their home country or region for reasons related to COVID-19; 77.4% were pursuing a bachelor's program, and 53.2% were in programs with practicum component. 84.7% of all students had moderate-to-high perceived stress, 12.1% had moderate-to-severe symptoms of anxiety and depression, and 17.7% had moderate-to-severe symptoms of insomnia. Compared with returnees, stayers had significantly higher stress from COVID-19-related stressors such as personal health and lack of social support (Cohen's d: 0.57–1.11), higher perceived stress [10-item Perceived Stress Scale (PSS-10)] {22.6 ± 6.2 vs. 19.1 ± 6.1, β [95% confidence interval (CI)]: 4.039 (0.816, 7.261), Cohen's d: 0.52}, and more severe insomnia symptoms [Insomnia Severity Index (ISI)] [11.8 ± 6.1 vs. 7.6 ± 5.2, β (95% CI): 3.087 (0.262, 5.912), Cohen's d: 0.45], with moderate-to-large effect sizes. Compared with males, females reported significantly higher stress from uncertainties about academic program (Cohen's d: 0.45) with a small effect size. In the total sample, stress related to academics (e.g., personal attainment, uncertainties about academic program, and changes in teaching/learning format), health (including personal health and health of family and friends), availability of reliable COVID-19-related information, and lack of social support predicted more negative mental health impacts. Resilience, positive thinking, and exercise were predictors of less severe mental health impacts.Conclusions: Stayers experienced more adverse mental health impacts than returnees. We call on educators and mental health professionals to provide appropriate support for international students, particularly the stayers, during the pandemic.


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