scholarly journals Teens’ Social Media Engagement during the COVID-19 Pandemic: A Time Series Examination of Posting and Emotion on Reddit

2021 ◽  
Vol 18 (19) ◽  
pp. 10079
Author(s):  
Saijun Zhang ◽  
Meirong Liu ◽  
Yeefay Li ◽  
Jae Eun Chung
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Time Series ◽  
Negative Emotion ◽  
Interrupted Time Series ◽  
Emotion Expression ◽  
Interrupted Time Series Analysis ◽  
Health Concerns ◽  
Social Media Engagement ◽  
Mental Health Concerns

Research has rarely examined how the COVID-19 pandemic may affect teens’ social media engagement and psychological wellbeing, and even less research has compared the difference between teens with and without mental health concerns. We collected and analyzed weekly data from January to December 2020 from teens in four Reddit communities (subreddits), including teens in r/Teenagers and teens who participated in three mental health subreddits (r/Depression, r/Anxiety, and r/SuicideWatch). The results showed that teens’ weekly subreddit participation, posting/commenting frequency, and emotion expression were related to significant pandemic events. Teen Redditors on r/Teenagers had a higher posting/commenting frequency but lower negative emotion than teen Redditors on the three mental health subreddits. When comparing posts/comments on r/Teenagers, teens who ever visited one of the three mental health subreddits posted/commented twice as frequently as teens who did not, but their emotion expression was similar. The results from the Interrupted Time Series Analysis (ITSA) indicated that both teens with and without mental health concerns reversed the trend in posting frequency and negative emotion from declining to increasing right after the pandemic outbreak, and teens with mental health concerns had a more rapidly increasing trend in posting/commenting. The findings suggest that teens’ social media engagement and emotion expression reflect the pandemic evolution. Teens with mental health concerns are more likely to reveal their emotions on specialized mental health subreddits rather than on the general r/Teenagers subreddit. In addition, the findings indicated that teens with mental health concerns had a strong social interaction desire that various barriers in the real world may inhibit. The findings call for more attention to understand the pandemic’s influence on teens by monitoring and analyzing social media data and offering adequate support to teens regarding their mental health wellbeing.

scholarly journals Social Media Reveals Psychosocial Effects of the COVID-19 Pandemic

2020 ◽  
Author(s):  
Koustuv Saha ◽  
John Torous ◽  
Eric D. Caine ◽  
Munmun De Choudhury
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Psychosocial Effects ◽  
Self Disclosure ◽  
Social Media Data ◽  
Health Concerns ◽  
Mental Health Concerns ◽  
Precautionary Measures ◽  
Media Data ◽  
Over Time

AbstractBackgroundThe novel coronavirus disease 2019 (COVID-19) pandemic has caused several disruptions in personal and collective lives worldwide. The uncertainties surrounding the pandemic have also led to multi-faceted mental health concerns, which can be exacerbated with precautionary measures such as social distancing and self-quarantining, as well as societal impacts such as economic downturn and job loss. Despite noting this as a “mental health tsunami,” the psychological effects of the COVID-19 crisis remains unexplored at scale. Consequently, public health stakeholders are currently limited in identifying ways to provide timely and tailored support during these circumstances.ObjectiveOur work aims to provide insights regarding people’s psychosocial concerns during the COVID-19 pandemic by leveraging social media data. We aim to study the temporal and linguistic changes in symptomatic mental health and support expressions in the pandemic context.MethodsWe obtain ∼60M Twitter streaming posts originating from the U.S. from 24 March-24 May 2020, and compare these with ∼40M posts from a comparable period in 2019 to attribute the effect of COVID-19 on people’s social media self-disclosure. Using these datasets, we study people’s self-disclosure on social media in terms of symptomatic mental health concerns and expressions of support. We employ transfer learning classifiers that identify the social media language indicative of mental health outcomes (anxiety, depression, stress, and suicidal ideation) and support (emotional and informational support). We then examine the changes in psychosocial expressions over time and language, comparing the 2020 and 2019 datasets.ResultsWe find that all of the examined psychosocial expressions have significantly increased during the COVID-19 crisis – mental health symptomatic expressions have increased by ∼14%, and support expressions have increased by ∼5%, both thematically related to COVID-19. We also observe a steady decline and eventual plateauing in these expressions during the COVID-19 pandemic, which may have been due to habituation or due to supportive policy measures enacted during this period. Our language analyses highlight that people express concerns that are very specific to and contextually related to the COVID-19 crisis.ConclusionsWe studied the psychosocial effects of the COVID-19 crisis by using social media data from 2020, finding that people’s mental health symptomatic and support expressions significantly increased during the COVID-19 period as compared to similar data from 2019. However, this effect gradually lessened over time, suggesting that people adapted to the circumstances and their “new normal”. Our linguistic analyses revealed that people expressed mental health concerns regarding personal and professional challenges, healthcare and precautionary measures, and pandemic-related awareness. This work shows the potential to provide insights to mental healthcare and stakeholders and policymakers in planning and implementing measures to mitigate mental health risks amidst the health crisis.

Grassroots Mental Health Groups’ Use of Advocacy Strategies in Social Media Messaging

2020 ◽  
Vol 30 (14) ◽  
pp. 2205-2216
Author(s):  
Sarah Smith-Frigerio
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Health Communication ◽  
Health Crisis ◽  
Health Concerns ◽  
Study Approach ◽  
Advocacy Strategies ◽  
Media Messaging ◽  
Mental Health Concerns

Mental health concerns are a public health crisis. Stigma is the primary reason why individuals do not disclose or seek treatment. Stigma is constructed communicatively, and destigmatization efforts—such as advocacy messaging—are also communicative. I employ a case study approach to describe how two mental health groups use advocacy strategies in their social media messaging to help audience members mitigate mental health concerns and challenge stigma. I found content creators use a variety of advocacy strategies in their messaging, including awareness-raising, support of policy initiatives, and the promotion of diversity and inclusivity. Although not the primary goal of these groups’ messaging, advocacy strategies were important to content creators and audience members, and 80% of audience members interviewed engaged in advocacy work for the organizations. I provide a nuanced view of mental health communication advocacy strategies, make recommendations for health communication professionals, and demonstrate the need for future studies.

scholarly journals Effects of the Mental Health and Welfare Law revision on schizophrenia patients in Korea: an interrupted time series analysis

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Jongho Heo ◽  
Nan-He Yoon ◽  
Soyoun Shin ◽  
Soo-Young Yu ◽  
Manwoo Lee
Keyword(s):  
Mental Health ◽  
Time Series ◽  
Time Series Analysis ◽  
Admission Rate ◽  
Interrupted Time Series ◽  
Mental Health Service Use ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
Outpatient Visits ◽  
First Admission

Abstract Background High rates of involuntary hospitalization and long lengths of stay have been problematic in Korea. To address these problems, the Mental Health and Welfare Law was revised in 2016, mainly to protect patient rights by managing involuntary admissions. The aim of this study was to evaluate the impact of the revised Mental Health and Welfare Law on deinstitutionalization by using routinely collected data from hospital admissions and continuity of mental health service use after hospital discharge as proxy measures of deinstitutionalization. Methods We used monthly-aggregated claims-based data with a principal or secondary diagnosis of schizophrenia from 2012 to 2019, collected by the National Health Insurance Service. Outcome variables included rates of first admission; discharges; re-admissions within 7, 30, and 90 days; outpatient visits after discharge within 7 and 30 days; and continuity of visits, at least once a month for 6 months after discharge. Using interrupted time series analysis, we estimated the change in levels and trends of the rates after revision, controlling for baseline level and trend. Results There was no significant change in first admission and discharge rates after the revision. Immediately after the revision, however, the rates of re-admission within 7 and 30 days dropped significantly, by 2.24% and 1.99%, respectively. The slopes of the re-admission rate decreased significantly, by 0.10% and 0.14%, respectively. The slopes of the re-admission rate within 90 days decreased (0.001%). The rates of outpatient visits within 7 and 30 days increased by 1.98% and 2.72%, respectively. The rate of continuous care showed an immediate 4.0% increase. Conclusions The revision had slight but significant effects on deinstitutionalization, especially decreasing short-term re-admission and increasing immediate outpatient service utilization.

scholarly journals Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media (Preprint)

2020 ◽  
Author(s):  
Koustuv Saha ◽  
John Torous ◽  
Eric D Caine ◽  
Munmun De Choudhury
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Data Sets ◽  
Psychosocial Effects ◽  
Self Disclosure ◽  
Social Media Data ◽  
Health Concerns ◽  
Mental Health Concerns ◽  
Precautionary Measures ◽  
Media Data

BACKGROUND The COVID-19 pandemic has caused several disruptions in personal and collective lives worldwide. The uncertainties surrounding the pandemic have also led to multifaceted mental health concerns, which can be exacerbated with precautionary measures such as social distancing and self-quarantining, as well as societal impacts such as economic downturn and job loss. Despite noting this as a “mental health tsunami”, the psychological effects of the COVID-19 crisis remain unexplored at scale. Consequently, public health stakeholders are currently limited in identifying ways to provide timely and tailored support during these circumstances. OBJECTIVE Our study aims to provide insights regarding people’s psychosocial concerns during the COVID-19 pandemic by leveraging social media data. We aim to study the temporal and linguistic changes in symptomatic mental health and support expressions in the pandemic context. METHODS We obtained about 60 million Twitter streaming posts originating from the United States from March 24 to May 24, 2020, and compared these with about 40 million posts from a comparable period in 2019 to attribute the effect of COVID-19 on people’s social media self-disclosure. Using these data sets, we studied people’s self-disclosure on social media in terms of symptomatic mental health concerns and expressions of support. We employed transfer learning classifiers that identified the social media language indicative of mental health outcomes (anxiety, depression, stress, and suicidal ideation) and support (emotional and informational support). We then examined the changes in psychosocial expressions over time and language, comparing the 2020 and 2019 data sets. RESULTS We found that all of the examined psychosocial expressions have significantly increased during the COVID-19 crisis—mental health symptomatic expressions have increased by about 14%, and support expressions have increased by about 5%, both thematically related to COVID-19. We also observed a steady decline and eventual plateauing in these expressions during the COVID-19 pandemic, which may have been due to habituation or due to supportive policy measures enacted during this period. Our language analyses highlighted that people express concerns that are specific to and contextually related to the COVID-19 crisis. CONCLUSIONS We studied the psychosocial effects of the COVID-19 crisis by using social media data from 2020, finding that people’s mental health symptomatic and support expressions significantly increased during the COVID-19 period as compared to similar data from 2019. However, this effect gradually lessened over time, suggesting that people adapted to the circumstances and their “new normal.” Our linguistic analyses revealed that people expressed mental health concerns regarding personal and professional challenges, health care and precautionary measures, and pandemic-related awareness. This study shows the potential to provide insights to mental health care and stakeholders and policy makers in planning and implementing measures to mitigate mental health risks amid the health crisis.

scholarly journals Prescription of anxiolytics, sedatives, hypnotics and antidepressants in outpatient, universal care during the COVID-19 pandemic in Portugal: a nationwide, interrupted time-series approach

2021 ◽  
pp. jech-2021-216732
Author(s):  
Marta Estrela ◽  
Tânia Magalhães Silva ◽  
Eva Rebelo Gomes ◽  
Maria Piñeiro ◽  
Adolfo Figueiras ◽  
...  
Keyword(s):  
Mental Health ◽  
Time Series ◽  
Elderly Women ◽  
Health Sector ◽  
Interrupted Time Series ◽  
Defined Daily Dose ◽  
Prescription Data ◽  
Interrupted Time Series Analysis ◽  
Prescribing Trends ◽  
The Impact

BackgroundThe COVID-19 pandemic has had a significant impact on the population’s mental health. However, its impact on the consumption of anxiolytics, sedatives, hypnotics and antidepressants remains to be evaluated. Hence, this article aims to assess the prescription trends of these drugs in Portugal, from January 2018 to March 2021, while critically examining whether the COVID-19 pandemic had an impact on these prescription trends or not.MethodsA nationwide interrupted time-series analysis of the prescription data of anxiolytics, sedatives, hypnotics and antidepressants in outpatient setting of the public health sector was conducted. The data encompassed the defined daily dose per month, age range and sex and were analysed following a segmented regression approach.ResultsThe pandemic preceded an immediate reduction in the prescription of anxiolytics, sedatives and hypnotics for children and adolescents. However, an increasing trend throughout the pandemic has been noted in the prescription of these drugs, especially among adults aged 65 years or above. A drop in antidepressant prescription was observed as an immediate effect of the pandemic among male and female adolescents and elderly women. From March 2020 to March 2021, a decreasing prescription trend has been noted among men.ConclusionsWhen analysing specific genders and age ranges, differences can be noted, in terms of both immediate impact and prescribing trends throughout 1 year of the COVID-19 pandemic. The impact of the pandemic on mental health and its association with the consumption trends of psychoactive drugs, and with the access to mental health treatments, should be further assessed.

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