scholarly journals Sentiment Analysis of Comments of American Birders during Two Waves of the COVID-19 Pandemic Reveal More Negative Sentiments in the Context of Birding

2021 ◽  
Vol 18 (24) ◽  
pp. 13142
Author(s):  
Christoph Randler ◽  
Nadine Kalb ◽  
Piotr Tryjanowski
Keyword(s):  
Mental Health ◽  
Sentiment Analysis ◽  
Human Nature ◽  
Positive Impact ◽  
Health Benefit ◽  
Data Set ◽  
Time Points ◽  
One Year ◽  
Second Wave

Human–nature relationships are an important aspect of leisure research. Previous studies also reported that nature-related activities have a health benefit. In this study, we surveyed US-American birdwatchers at two time points during the COVID pandemic (independent samples). During the beginning of the COVID pandemic in spring 2020, we analyzed their comments with an AI sentiment analysis. Approximately one year later (winter 2020/21), during the second wave, the study was repeated, and a second data set was analyzed. Here we show that during the ongoing pandemic, the sentiments became more negative. This is an important result because it shows that despite the positive impact of nature on mental health, the sentiments become more negative in the enduring pandemic.

scholarly journals Longitudinal Associations between Internalizing Symptoms, Dispositional Mindfulness, Rumination and Impulsivity in Adolescents

2021 ◽  
Author(s):  
Estíbaliz Royuela-Colomer ◽  
Liria Fernández-González ◽  
Izaskun Orue
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Internalizing Symptoms ◽  
Protective Factor ◽  
Negative Association ◽  
Dispositional Mindfulness ◽  
Vulnerability Factors ◽  
Time Points ◽  
Longitudinal Associations ◽  
One Year

AbstractMindfulness has been associated with fewer negative mental health symptoms during adolescence, but fewer studies have examined longitudinal associations between mindfulness and symptoms in conjunction with two vulnerability factors for psychopathology with mindfulness: rumination and impulsivity. This study examined longitudinal associations between internalizing symptoms (depression, anxiety, stress), mindfulness, rumination, and impulsivity over a one-year period among 352 Spanish adolescents (57.4% girls; M = 14.47, SD = 1.34). Participants completed self-reported measures of symptoms, mindfulness, rumination, and impulsivity at two time points. Mindfulness negatively predicted stress and depressive symptoms, and a bidirectional negative association was found between mindfulness and impulsivity. Impulsivity positively predicted stress, and anxiety positively predicted depressive symptoms, stress, and rumination. This study highlights the importance of mindfulness as a protective factor and impulsivity and anxiety as risk factors for internalizing symptoms throughout adolescence. These findings build on previous studies that examined longitudinal associations between mindfulness and symptoms by including rumination and impulsivity’s roles.

scholarly journals The African Guide: One Year Impact and Outcomes from the Implementation of a School Mental Health Literacy Curriculum Resource in Tanzania

2017 ◽  
Vol 5 (4) ◽  
pp. 64 ◽  
Author(s):  
Stanley Kutcher ◽  
Yifeng Wei ◽  
Heather Gilberds ◽  
Adena Brown ◽  
Omary Ubuguyu ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Literacy ◽  
Mental Health Literacy ◽  
Positive Impact ◽  
Scale Up ◽  
Sub Saharan Africa ◽  
Health Concern ◽  
Care Providers ◽  
Sub Saharan ◽  
One Year

little research is available. Schools are an ideal location in which to address mental health literacy. A Canadian school-based mental health literacy resource was adapted for application in sub-Saharan Africa called the African Guide (AG). The AG is a classroom ready curriculum resource addressing all aspects of mental health literacy. Herein we provide teacher reported activity impacts and MHL outcomes from the implementation of the AG in Tanzania. Following training, survey data addressing teacher reported AG impact and MHL outcomes was collected at three time points over a one year period. Over a period of one year, 32 teachers from 29 different schools reported that over: 4,600 students were taught MHL; 150 peer teachers were trained on the AG; 390 students approached teachers with a mental health concern; 450 students were referred to previously trained community care providers for diagnosis and treatment of Depression; and most students were considered to have demonstrated improved or very much improved knowledge, attitudes and help-seeking efficacy, with similar outcomes reported for teachers. Results of this study demonstrate a substantial positive impact on MHL related activities and outcomes for both students and teachers using the AG resource in Tanzania. Taken together with previously published research on enhancing MHL in both Malawi and Tanzania, if replicated in another setting, these results will provide additional support for the scale up of this intervention across sub-Saharan Africa.

Prevalence of Self-Reported Depression Symptoms and Perceived Anxiety Among Community-Dwelling U.S. Adults Reporting Tinnitus

2020 ◽  
Vol 5 (4) ◽  
pp. 959-970
Author(s):  
Kelly M. Reavis ◽  
James A. Henry ◽  
Lynn M. Marshall ◽  
Kathleen F. Carlson
Keyword(s):  
Mental Health ◽  
Fold Increase ◽  
Community Dwelling ◽  
Self Report ◽  
Depression Symptoms ◽  
Community Based Interventions ◽  
Data Set ◽  
Health Distress ◽  
Validated Questionnaire ◽  
Mental Health Distress

Purpose The aim of this study was to examine the relationship between tinnitus and self-reported mental health distress, namely, depression symptoms and perceived anxiety, in adults who participated in the National Health and Nutrition Examinations Survey between 2009 and 2012. A secondary aim was to determine if a history of serving in the military modified the associations between tinnitus and mental health distress. Method This was a cross-sectional study design of a national data set that included 5,550 U.S. community-dwelling adults ages 20 years and older, 12.7% of whom were military Veterans. Bivariable and multivariable logistic regression was used to estimate the association between tinnitus and mental health distress. All measures were based on self-report. Tinnitus and perceived anxiety were each assessed using a single question. Depression symptoms were assessed using the Patient Health Questionnaire, a validated questionnaire. Multivariable regression models were adjusted for key demographic and health factors, including self-reported hearing ability. Results Prevalence of tinnitus was 15%. Compared to adults without tinnitus, adults with tinnitus had a 1.8-fold increase in depression symptoms and a 1.5-fold increase in perceived anxiety after adjusting for potential confounders. Military Veteran status did not modify these observed associations. Conclusions Findings revealed an association between tinnitus and both depression symptoms and perceived anxiety, independent of potential confounders, among both Veterans and non-Veterans. These results suggest, on a population level, that individuals with tinnitus have a greater burden of perceived mental health distress and may benefit from interdisciplinary health care, self-help, and community-based interventions. Supplemental Material https://doi.org/10.23641/asha.12568475

A Review on Sentiment Classification: Natural Language Understanding

2019 ◽  
Vol 13 (1) ◽  
pp. 20-27 ◽  
Author(s):  
Srishty Jindal ◽  
Kamlesh Sharma
Keyword(s):  
Natural Language ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Natural Language Understanding ◽  
Business Analytics ◽  
Language Understanding ◽  
Text Data ◽  
Data Set ◽  
Market Positioning ◽  
Illegal Activities

Background: With the tremendous increase in the use of social networking sites for sharing the emotions, views, preferences etc. a huge volume of data and text is available on the internet, there comes the need for understanding the text and analysing the data to determine the exact intent behind the same for a greater good. This process of understanding the text and data involves loads of analytical methods, several phases and multiple techniques. Efficient use of these techniques is important for an effective and relevant understanding of the text/data. This analysis can in turn be very helpful in ecommerce for targeting audience, social media monitoring for anticipating the foul elements from society and take proactive actions to avoid unethical and illegal activities, business analytics, market positioning etc. Method: The goal is to understand the basic steps involved in analysing the text data which can be helpful in determining sentiments behind them. This review provides detailed description of steps involved in sentiment analysis with the recent research done. Patents related to sentiment analysis and classification are reviewed to throw some light in the work done related to the field. Results: Sentiment analysis determines the polarity behind the text data/review. This analysis helps in increasing the business revenue, e-health, or determining the behaviour of a person. Conclusion: This study helps in understanding the basic steps involved in natural language understanding. At each step there are multiple techniques that can be applied on data. Different classifiers provide variable accuracy depending upon the data set and classification technique used.

scholarly journals A machine learning approach for predicting suicidal thoughts and behaviours among college students

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Melissa Macalli ◽  
Marie Navarro ◽  
Massimiliano Orri ◽  
Marie Tournier ◽  
Rodolphe Thiébaut ◽  
...  
Keyword(s):  
Mental Health ◽  
College Students ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Screening Tools ◽  
Receiver Operating Curve ◽  
Depression Symptoms ◽  
Suicidal Thoughts ◽  
One Year

AbstractSuicidal thoughts and behaviours are prevalent among college students. Yet little is known about screening tools to identify students at higher risk. We aimed to develop a risk algorithm to identify the main predictors of suicidal thoughts and behaviours among college students within one-year of baseline assessment. We used data collected in 2013–2019 from the French i-Share cohort, a longitudinal population-based study including 5066 volunteer students. To predict suicidal thoughts and behaviours at follow-up, we used random forests models with 70 potential predictors measured at baseline, including sociodemographic and familial characteristics, mental health and substance use. Model performance was measured using the area under the receiver operating curve (AUC), sensitivity, and positive predictive value. At follow-up, 17.4% of girls and 16.8% of boys reported suicidal thoughts and behaviours. The models achieved good predictive performance: AUC, 0.8; sensitivity, 79% for girls, 81% for boys; and positive predictive value, 40% for girls and 36% for boys. Among the 70 potential predictors, four showed the highest predictive power: 12-month suicidal thoughts, trait anxiety, depression symptoms, and self-esteem. We identified a parsimonious set of mental health indicators that accurately predicted one-year suicidal thoughts and behaviours in a community sample of college students.

scholarly journals “The Looming, Crazy Stalker Coronavirus”: Fear Mongering, Fake News, and the Diffusion of Distrust

2021 ◽  
Vol 7 ◽  
pp. 237802312110247
Author(s):  
Alexandrea J. Ravenelle ◽  
Abigail Newell ◽  
Ken Cai Kowalski
Keyword(s):  
Mental Health ◽  
Media Coverage ◽  
Media Consumption ◽  
Fake News ◽  
Compensatory Control ◽  
The Media ◽  
Good For ◽  
Fear Mongering ◽  
One Year

The authors explore media distrust among a sample of precarious and gig workers interviewed during the COVID-19 pandemic. Although these left-leaning respondents initially increased their media consumption at the outset of the pandemic, they soon complained of media sensationalism and repurposed a readily available cultural tool: claims of “fake news.” As a result, these unsettled times have resulted in a “diffusion of distrust,” in which an elite conservative discourse of skepticism toward the media has also become a popular form of compensatory control among self-identified liberals. Perceiving “fake news” and media sensationalism as “not good” for their mental health, respondents also reported experiencing media burnout and withdrawing from media consumption. As the pandemic passes its one-year anniversary, this research has implications for long-term media coverage on COVID-19 and ongoing media trust and consumption.

scholarly journals Coping with COVID-19: The Strategies Adapted by Pakistani Students to Overcome Implications

2021 ◽  
Vol 18 (4) ◽  
pp. 1799
Author(s):  
Gul Muhammad Baloch ◽  
Kamilah Kamaludin ◽  
Karuthan Chinna ◽  
Sheela Sundarasen ◽  
Mohammad Nurunnabi ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Coping Strategies ◽  
Living Arrangement ◽  
Female Students ◽  
The Other ◽  
Age Group ◽  
Cultural Contexts ◽  
University Policies ◽  
One Year

COVID-19 has speedily immersed the globe with 72+ million cases and 1.64 million deaths, in a span of around one year, disturbing and deteriorating almost every sphere of life. This study investigates how students in Pakistan have coped with the COVID-19. Zung’s self-rating anxiety scale (SAS) was used for measuring anxiety and the coping strategies were measured on four strategies i.e., seeking social support, humanitarian, acceptance, and mental disengagement. Among 494 respondents, 61% were females and 77.3% of the students were in the age group of 19–25 years. The study findings indicate that approximately 41 percent of students are experiencing some level of anxiety, including 16% with severe to extreme levels. Seeking social support seemed to be the least preferred coping strategy and that female students seek social support, humanitarian, and acceptance coping strategies more than males. Students used both emotion-based and problem-based coping strategies. The variables of gender, age, ethnicity, level and type of study, and living arrangement of the students were associated with usage of coping strategies. Findings showing that students do not prefer to seek social support. The study outcomes will provide basic data for university policies in Pakistan and the other countries with same cultural contexts to design and place better mental health provisions for students.

scholarly journals Mental health and resilience among Eritrean refugees at arrival and one-year post-registration in Switzerland: a cohort study

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Afona Chernet ◽  
Nicole Probst-Hensch ◽  
Véronique Sydow ◽  
Daniel H. Paris ◽  
Niklaus D. Labhardt
Keyword(s):  
Mental Health ◽  
Asylum Seekers ◽  
Assessment Tools ◽  
Migration Route ◽  
Post Traumatic Stress ◽  
Hazardous Alcohol Use ◽  
Hazardous Alcohol ◽  
One Year ◽  
The One

Abstract Objective Eritrea is the most frequent country of origin among asylum seekers in Switzerland. On their journey through the desert and across the Mediterranean Sea, Eritrea refugees are often exposed to traumatizing experiences. The aim of this study is to assess the mental health status and resilience of Eritrean migrants in Switzerland upon arrival and one-year post-arrival, using standardized mental health screening and resilience assessment tools. Results At baseline, 107 refugees (11.2% female, median age 25) were interviewed: 52 (48.6%) screened positive for Post-Traumatic Stress Disorder (score ≥ 30), 10.3% for anxiety (≥ 10) and 15.0% for depression (≥ 10); 17.8% scored as risk/hazardous drinkers (≥ 8). The majority (94.4%) had a high resilience score (≥ 65). For one-year follow-up, 48 asylum seekers could be reached. In interviews 18 (38%) of these reported imprisonment in a transit country and 28 (58%) that they had witnessed the death of a close person along the migration route. At the one year assessment, rates of risky/hazardous alcohol use remained unchanged, rates of positive PTSD screening tended to be lower (50.0% (24/48) at baseline vs 25.0% (12/48) at follow-up), as were rates of positive screening for anxiety (8.3% vs 4.2%) and depression (14.6 vs 6.3%).

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