4.25 PROCESS VARIABLES PREDICTING CHANGES IN ALCOHOL CONSUMPTION AND MENTAL HEALTH SYMPTOMS FOLLOWING PERSONALITY-TARGETED INTERVENTIONS IN ADOLESCENCE: AN EXPLORATORY STUDY

2016 ◽  
Vol 55 (10) ◽  
pp. S171
Author(s):  
Maeve O'Leary-Barrett ◽  
Robert O. Pihl ◽  
Patricia Conrod
Keyword(s):  
Mental Health ◽  
Alcohol Consumption ◽  
Exploratory Study ◽  
Process Variables ◽  
Mental Health Symptoms ◽  
Health Symptoms ◽  
Targeted Interventions

scholarly journals Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study (Preprint)

2018 ◽  
Author(s):  
Yulin Hswen ◽  
John A Naslund ◽  
John S Brownstein ◽  
Jared B Hawkins
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Suicide Prevention ◽  
Exploratory Study ◽  
Suicide Risk ◽  
Elevated Risk ◽  
Online Discussions ◽  
Mental Health Symptoms ◽  
Health Symptoms ◽  
Twitter Users

BACKGROUND People with schizophrenia experience elevated risk of suicide. Mental health symptoms, including depression and anxiety, contribute to increased risk of suicide. Digital technology could support efforts to detect suicide risk and inform suicide prevention efforts. OBJECTIVE This exploratory study examined the feasibility of monitoring online discussions about suicide among Twitter users who self-identify as having schizophrenia. METHODS Posts containing the terms suicide or suicidal were collected from a sample of Twitter users who self-identify as having schizophrenia (N=203) and a random sample of control users (N=173) over a 200-day period. Frequency and timing of posts about suicide were compared between groups. The associations between posting about suicide and common mental health symptoms were examined. RESULTS Twitter users who self-identify as having schizophrenia posted more tweets about suicide (mean 7.10, SD 15.98) compared to control users (mean 1.89, SD 4.79; t374=-4.13, P<.001). Twitter users who self-identify as having schizophrenia showed greater odds of tweeting about suicide compared to control users (odds ratio 2.15, 95% CI 1.42-3.28). Among all users, tweets about suicide were associated with tweets about depression (r=0.62, P<.001) and anxiety (r=0.45, P<.001). CONCLUSIONS Twitter users who self-identify as having schizophrenia appear to commonly discuss suicide on social media, which is associated with greater discussion about other mental health symptoms. These findings should be interpreted cautiously, as it is not possible to determine whether online discussions about suicide correlate with suicide risk. However, these patterns of online discussion may be indicative of elevated risk of suicide observed in this patient group. There may be opportunities to leverage social media for supporting suicide prevention among individuals with schizophrenia.

scholarly journals Mental health symptoms in electronic football players

2021 ◽  
Vol 7 (4) ◽  
pp. e001149
Author(s):  
Ana Monteiro Pereira ◽  
Pedro Teques ◽  
Evert Verhagen ◽  
Vincent Gouttebarge ◽  
Pedro Figueiredo ◽  
...  
Keyword(s):  
Mental Health ◽  
Alcohol Consumption ◽  
Sleep Disturbance ◽  
Coping Strategies ◽  
Eating Habits ◽  
Anxiety Symptoms ◽  
Football Players ◽  
Maladaptive Coping ◽  
Mental Health Symptoms ◽  
Health Symptoms

BackgroundThe escalated competitive pressure and professionalisation of esports players could predispose them to mental health symptoms. We aimed to develop a model to explore the association between distress and anxiety/depression symptoms and potential associations between adaptive or maladaptive coping strategies, sleeping disturbance, alcohol consumption and eating habits in electronic football players.MethodsThe present exploratory cross-sectional study includes the Distress Screener, General Health Questionnaire, Brief Cope, Sleep Disturbance Domain of the Patient-Reported Outcomes Measurement Information System, Alcohol Use Disorders Identification Test Consumption and a set of questions regarding eating habits. A two-step robust maximum likelihood method of the Structural Equation Modelling approach was used.ResultsBoth measurement model (χ2/df=1065.04 (637), p<0.001; Tucker-Lewis Index (TLI)=0.91, Comparative Fit Index (CFI)=0.92, standardised root mean residual (SRMR)=0.07 and root mean square error of approximation (RMSEA)=0.05; 95% CI 0.043 to 0.053) and hypothesised structural model (χ2/df=1131.98 (648); p<0.001; TLI=0.90, CFI=0.91, SRMR=0.07 and RMSEA=0.05; 95% CI 0.054 to 0.06) showed an adequate fit to the data. Stress was positively related with depression and anxiety symptoms. Only anxiety symptoms were linked with coping strategies. Maladaptive coping strategies were related to sleep disturbance, alcohol consumption and poor eating habits, whereas adaptive coping strategies were associated with less sleep disturbance, reduced alcohol consumption and better eating habits.ConclusionAn integrative approach to help electronic football players when early signs of distress are present might help avoid other mental health symptoms that interfere with players’ well-being and overall health. Additionally, adequate coping strategies to manage anxiety symptoms due to distress may help counteract potential negative consequences for lifestyle habits in electronic football players.

scholarly journals Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study

10.2196/11483 ◽  
2018 ◽  
Vol 5 (4) ◽  
pp. e11483 ◽  
Author(s):  
Yulin Hswen ◽  
John A Naslund ◽  
John S Brownstein ◽  
Jared B Hawkins
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Suicide Prevention ◽  
Exploratory Study ◽  
Suicide Risk ◽  
Elevated Risk ◽  
Online Discussions ◽  
Mental Health Symptoms ◽  
Health Symptoms ◽  
Twitter Users

Background People with schizophrenia experience elevated risk of suicide. Mental health symptoms, including depression and anxiety, contribute to increased risk of suicide. Digital technology could support efforts to detect suicide risk and inform suicide prevention efforts. Objective This exploratory study examined the feasibility of monitoring online discussions about suicide among Twitter users who self-identify as having schizophrenia. Methods Posts containing the terms suicide or suicidal were collected from a sample of Twitter users who self-identify as having schizophrenia (N=203) and a random sample of control users (N=173) over a 200-day period. Frequency and timing of posts about suicide were compared between groups. The associations between posting about suicide and common mental health symptoms were examined. Results Twitter users who self-identify as having schizophrenia posted more tweets about suicide (mean 7.10, SD 15.98) compared to control users (mean 1.89, SD 4.79; t374=-4.13, P<.001). Twitter users who self-identify as having schizophrenia showed greater odds of tweeting about suicide compared to control users (odds ratio 2.15, 95% CI 1.42-3.28). Among all users, tweets about suicide were associated with tweets about depression (r=0.62, P<.001) and anxiety (r=0.45, P<.001). Conclusions Twitter users who self-identify as having schizophrenia appear to commonly discuss suicide on social media, which is associated with greater discussion about other mental health symptoms. These findings should be interpreted cautiously, as it is not possible to determine whether online discussions about suicide correlate with suicide risk. However, these patterns of online discussion may be indicative of elevated risk of suicide observed in this patient group. There may be opportunities to leverage social media for supporting suicide prevention among individuals with schizophrenia.

scholarly journals Do Rates of Mental Health Symptoms in Currently Competing Elite Athletes in Paralympic Sports Differ from Non-Para-Athletes?

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Lisa S. Olive ◽  
Simon Rice ◽  
Matt Butterworth ◽  
Matti Clements ◽  
Rosemary Purcell
Keyword(s):  
Mental Health ◽  
Alcohol Consumption ◽  
Online Survey ◽  
Elite Athletes ◽  
Participation Rate ◽  
Self Esteem ◽  
Mental Health Symptoms ◽  
Cross Sectional ◽  
Health Symptoms ◽  
Health And Wellbeing

Abstract Background This study addresses the lack of comparative data on the mental health of athletes in Paralympic sports (‘para-athletes’) and non-para athletes by examining the prevalence and correlates of mental health symptoms in a national sample of elite athletes representative of the population from which it was drawn on age and para-status. Methods A cross-sectional, anonymous, online-survey was provided to all categorised (e.g. highest level) athletes, aged 17 years and older, registered with the Australian Institute of Sport (n = 1566). Measures included psychological distress, mental health caseness, risky alcohol consumption, body weight and shape dissatisfaction, self-esteem, life satisfaction, and problem gambling. Correlates of outcomes included individual (e.g. demographic and psychosocial) and sport-related variables. Results The participation rate was 51.7% (n = 810), with valid data available from 749 athletes. No significant differences were observed between athletes from para- and non-para-sports on most mental health symptoms, with the exception of alcohol consumption (p < .001) and self-esteem (p = .007), both lower in athletes from para-sports. A trend for an interaction was found for anxiety and insomnia (p = .018), whereby the difference between athletes from para- and non-para-sports was qualified by gender. Conclusions In a large sample of elite athletes, mental health and wellbeing symptoms are comparable between athletes from para- and non-para-sports, with the exception of para-athletes reporting lower alcohol consumption but also lower self-esteem. While overall mental health and wellbeing symptom profiles are largely similar, attention to areas of differences will help to better address the unmet and distinct mental health needs of athletes from para-sports.

Length of Deployments As a Predictor of Mental Health Symptoms in Operation Iraqi Freedom/Operation

2013 ◽  
Author(s):  
Bryann Debeer ◽  
Sandra B. Morissette ◽  
Nathan A. Kimbrel ◽  
Eric C. Meyer ◽  
Suzy B. Gulliver
Keyword(s):  
Mental Health ◽  
Operation Iraqi Freedom ◽  
Mental Health Symptoms ◽  
Health Symptoms ◽  
Iraqi Freedom
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