scholarly journals A Novel Music Therapy Intervention Utilizing Pop Music to Reduce Adolescent Anxiety and Depression

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Zhixing Huang ◽  
Natasha Duell
Keyword(s):  
Music Therapy ◽  
Mental State ◽  
Daily Basis ◽  
Control Measures ◽  
Anxiety And Depression ◽  
Future Research ◽  
Emotional Impact ◽  
Pop Music ◽  
Adolescent Anxiety ◽  
Regular Control

The prevalence of adolescents' mental disorders, especially anxiety and depression, has become a critical social issue that needs to be addressed. Conventional music therapy could be a useful tool to help teens manage their symptoms. However, few kinds of research have explored the potential function of listening to pop music to improve adolescents’ mental state. This paper explored a pivotal approach to whether scientifically proven pop music can help prevent anxiety and depression. The paper developed a criterion that is used for selecting pop music with mentally beneficial elements and created a playlist with songs selected under the criterion. Two survey-based studies, containing a professional diagnosis scale and various questions, qualitatively and quantitatively examined the playlist’s emotional impact. In Study 1, results indicated that the playlist could relieve anxiety symptoms, with less influence in depression. In Study 2, regular control measures and qualitative questions proved that the selected music exerted its intended positive emotional effects onto the listener and indicated that listening to the music on a daily basis may be useful in improving and maintaining one’s healthy mental state. The results were promising and suggested great potential in future research. The scientific use of pop music as a self-help method beneficial in tackling anxiety and depression among teenagers could be a prospective field of study.

Developmental changes in genetic and environmental influences on Chinese child and adolescent anxiety and depression

2016 ◽  
Vol 46 (9) ◽  
pp. 1829-1838 ◽  
Author(s):  
Y. Zheng ◽  
F. Rijsdijk ◽  
J.-B. Pingault ◽  
R. J. McMahon ◽  
J. B. Unger
Keyword(s):  
Sex Differences ◽  
Environmental Factors ◽  
Transition Period ◽  
Environmental Influences ◽  
Child And Adolescent ◽  
Developmental Changes ◽  
Anxiety And Depression ◽  
Future Research ◽  
Late Childhood ◽  
Adolescent Anxiety

BackgroundTwin and family studies using Western samples have established that child and adolescent anxiety and depression are under substantial genetic, modest shared environmental, and substantial non-shared environmental influences. Generalizability of these findings to non-Western societies remains largely unknown, particularly regarding the changes of genetic and environmental influences with age. The current study examined changes in genetic and environmental influences on self-reported anxiety and depression from late childhood to mid-adolescence among a Chinese twin sample. Sex differences were also examined.MethodSelf-reported anxiety and depression were collected from 712 10- to 12-year-old Chinese twins (mean = 10.88 years, 49% males) and again 3 years later. Quantitative genetic modeling was used to examine developmental changes in genetic and environmental influences on anxiety and depression, and sex differences.ResultsHeritability of anxiety and depression in late childhood (23 and 20%) decreased to negligible in mid-adolescence, while shared environmental influences increased (20 and 27% to 57 and 60%). Shared environmental factors explained most of the continuity of anxiety and depression (75 and 77%). Non-shared environmental factors were largely time-specific. No sex differences were observed.ConclusionsShared environmental influences might be more pronounced during the transition period of adolescence in non-Western societies such as China. Future research should examine similarities and differences in the genetic and environmental etiologies of child and adolescent internalizing and other psychopathology in development between Western and non-Western societies.

scholarly journals Perception of Law Enforcement Officers on Preventing Road Traffic Injury in Vanuatu: A Qualitative Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Saen Fanai ◽  
Masoud Mohammadnezhad ◽  
Mosese Salusalu
Keyword(s):  
Risk Factors ◽  
Law Enforcement ◽  
Traffic Safety ◽  
Traffic Control ◽  
Road Traffic ◽  
Law Enforcement Officers ◽  
Daily Basis ◽  
Control Measures ◽  
Future Research ◽  
Road Traffic Safety

Background: Road Traffic Injuries (RTIs) cause approximately 1. 35 million deaths annually, and is the leading cause of death among people between ages 5 and 29. Law Enforcement Officers (LEOs) deal with Road Traffic Collisions (RTCs) and have contact with RTI victims at a daily basis, they possess an excellent perspective on preventing RTI. This study aimed to explore LEOs perceptions on risk factors and preventive measures of RTI in Vanuatu.Methods: This study employed qualitative methods that used Focus Group Discussions (FGDs) to gather data from 25 LEOs between October 14th and November 30th, 2020. Self-identified Ni-Vanuatu LEOs who have been serving for over 6 months and residing at the study setting were included in this study. Purposive sampling was used to recruit study participants from three municipalities in Vanuatu. A semi-structured open ended questionnaire was designed to guide the FGDs. Data obtained were sorted out using thematic analysis processed with some preconceived themes based on theory, and also allowing the data to determine new themes.Results: Data saturation was reached from conducting 5 FGDs with 25 LEOs who were traffic officers and municipal wardens. Five main themes and sixteen subthemes were generated from the study. The main themes include driving and alcohol, the challenges to effective enforcement, barriers to effective care and support for RTI victims, measures for road traffic control and promoting road traffic safety. The respondents perceived that addressing resources issues and the legislations on road traffic control act and vehicle regulation act will enhance prevention of RTI.Conclusion: This study explored the risk factors of RTI and the barriers to effectively prevent RTI in Vanuatu. The study also generated suggestions of a combination of road traffic control measures that could be implemented to prevent RTI. Future research should look at effective strategies of preventing RTIs in resource deficit settings.

scholarly journals Priorities for research in child and adolescent anxiety and depression: a priority setting partnership with youth and professionals

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 1221
Author(s):  
Brynhildur Axelsdóttir ◽  
Lise Mette Eidet ◽  
Ragnhild Thoner ◽  
Sølvi Biedilæ ◽  
Ingrid Borren ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Priority Setting ◽  
Anxiety And Depression ◽  
Future Research ◽  
Mental Health Patient ◽  
Adolescent Anxiety ◽  
Starting Point ◽  
Patient Representatives ◽  
James Lind Alliance ◽  
Research Initiatives

Background: A starting point for evaluating the effectiveness of treatments should be to identify evidence gaps. Furthermore, such evaluations should consider the perspectives of patients, clinicians and carers to ensure relevance and potentially influence future research initiatives. Methods: Our approach, inspired by the James Lind Alliance methods, involved three steps. First, we performed a document analysis by identifying interventions and outcomes in two recently published overviews of systematic reviews, which summarised the effects of interventions for anxiety and depression in children and adolescents. Second, we surveyed children and adolescents with personal experiences of depression or anxiety as well as clinicians, and asked them to suggest treatments and outcomes associated with uncertainty. Finally, we facilitated a consensus process where clinicians and youth mental health patient representatives were invited to prioritise research uncertainties in separate consensus processes. Results: The survey included 674 respondents who reported a total of 1267 uncertainties. Independent coding by four investigators revealed 134 suggestions for treatments of anxiety, 90 suggestions for treatments of depression, 84 for outcomes of interventions for anxiety and 71 suggestions for outcomes of interventions for depression. Two separate priority setting workshops with eight clinicians and ten youth resulted in four independent top ten priority lists. Conclusion: Top ten lists of treatments and outcome domains of anxiety and depression in children and adolescents was identified by youth and clinicians. The results may influence the research agenda, and ultimately benefit patients.

Are Individuals in Rorschach Nonpatient Samples Truly Psychologically Healthy?

2015 ◽  
Vol 36 (2) ◽  
pp. 112-155 ◽  
Author(s):  
Anna Maria Rosso ◽  
Andrea Camoirano ◽  
Gabriele Schiaffino
Keyword(s):  
Psychological Treatment ◽  
Coping Styles ◽  
Anxiety And Depression ◽  
Future Research ◽  
Extensive Form ◽  
Community Needs ◽  
Rorschach Comprehensive System ◽  
Form Quality ◽  
And Coping ◽  
Rorschach Variables

Abstract. The aim of this study was to collect a Rorschach Comprehensive System (RCS) adult nonpatient sample from Italy using more stringent exclusion criteria and controlling for psychopathology, taking into account the methodological suggestions of Ritzler and Sciara (2008) . The authors hypothesized that: (a) adult nonpatient samples are not truly psychologically healthy, in that a high number of psychopathological symptoms are experienced by participants, particularly anxiety and depression, although they have never been in psychological treatment; (b) significant differences emerge between healthy and nonhealthy groups on Rorschach variables, particularly on CS psychopathological indexes; (c) RCS psychopathological indexes are significantly correlated in the expected direction with scores on psychopathological scales. The results confirmed the hypotheses, indicating the need to collect psychologically healthy samples in addition to normative and nonpatient samples. Because differences were found in the comparison between Exner’s sample (2007) and the healthy group in this study regarding form quality and coping styles, the authors suggest that future research should investigate the construct validity of ambitent style and culturally specific influences on form quality. Moreover, the Rorschach scientific community needs to have more extensive form quality tables, enriched with objects that are currently not included.

Moderating Role of Gender in the Relationship between Cognitive Errors and Anxiety among Adolescents

2020 ◽  
Vol 4 (1) ◽  
pp. 86-102
Author(s):  
Tasnim Rehna ◽  
Rubina Hanif ◽  
Muhammad Aqeel
Keyword(s):  
Mental Health Problems ◽  
Adolescent Psychopathology ◽  
Future Research ◽  
Cognitive Errors ◽  
Adolescent Anxiety ◽  
Study Results ◽  
The Status ◽  
Manifest Anxiety ◽  
The Relationship

Background: Widespread social paradigms on which the status variances are grounded in any society, gender plays pivotal role in manifestation of mental health problems (Rutter, 2007). A hefty volume of research has addressed the issue in adults nonetheless, little is vividly known about the role of gender in adolescent psychopathology. Sample: A sample of 240 adolescents (125 boys, 115 girls) aging 12-18 years was amassed from various secondary schools of Islamabad with the approval of the Federal Directorate of Education (FDE), relevant authorities of the schools and the adolescents themselves. Instruments: Taylor Manifest Anxiety Scale (Taylor & Spence, 1953) and Children’s Negative Cognitive Errors Questionnaire (CNCEQ) by Leitenberg et al., (1986) were applied in present study. Results: Multiple regression analysis revealed that cognitive errors jointly accounted for 78% of variance in predicting anxiety among adolescents. Findings also exhibited that gender significantly moderated the relationship between cognitive errors and adolescent anxiety. Implications of the findings are discoursed for future research and clinical practice.

COVID-19 Outbreak Prediction with Machine Learning

2020 ◽  
Author(s):  
Sina Faizollahzadeh Ardabili ◽  
Amir Mosavi ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
Annamaria R. Varkonyi-Koczy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Control Measures ◽  
Future Research ◽  
Complex Nature ◽  
Inference System ◽  
Wide Range ◽  
Standard Models ◽  
High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

A Survey of Computational Methods for Online Mental State Assessment on Social Media

2021 ◽  
Vol 2 (2) ◽  
pp. 1-31
Author(s):  
Esteban A. Ríssola ◽  
David E. Losada ◽  
Fabio Crestani
Keyword(s):  
Social Media ◽  
Mental Disorders ◽  
Mental State ◽  
Extraction Process ◽  
State Assessment ◽  
Future Research ◽  
Linguistic Markers ◽  
Online Social Media ◽  
Suicide Behaviour ◽  
Social Media Platforms

Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a unique opportunity for researchers and health practitioners to proactively identify linguistic markers or patterns that correlate with mental disorders such as depression, schizophrenia or suicide behaviour. This survey describes and reviews the approaches that have been proposed for mental state assessment and identification of disorders using online digital records. The presented studies are organised according to the assessment technology and the feature extraction process conducted. We also present a series of studies which explore different aspects of the language and behaviour of individuals suffering from mental disorders, and discuss various aspects related to the development of experimental frameworks. Furthermore, ethical considerations regarding the treatment of individuals’ data are outlined. The main contributions of this survey are a comprehensive analysis of the proposed approaches for online mental state assessment on social media, a structured categorisation of the methods according to their design principles, lessons learnt over the years and a discussion on possible avenues for future research.

scholarly journals Unequal impact of the COVID-19 crisis on minority ethnic groups: a framework for understanding and addressing inequalities

2021 ◽  
pp. jech-2020-216061
Author(s):  
Srinivasa Vittal Katikireddi ◽  
Sham Lal ◽  
Enitan D Carrol ◽  
Claire L Niedzwiedz ◽  
Kamlesh Khunti ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Social Consequences ◽  
Control Measures ◽  
Current Evidence ◽  
Future Research ◽  
Complex Interplay ◽  
Structural Racism ◽  
Theoretical Understanding ◽  
Minority Ethnic Groups ◽  
Minority Ethnic

Minority ethnic groups have been disproportionately affected by the COVID-19 pandemic. While the exact reasons for this remain unclear, they are likely due to a complex interplay of factors rather than a single cause. Reducing these inequalities requires a greater understanding of the causes. Research to date, however, has been hampered by a lack of theoretical understanding of the meaning of ‘ethnicity’ (or race) and the potential pathways leading to inequalities. In particular, quantitative analyses have often adjusted away the pathways through which inequalities actually arise (ie, mediators for the effect of interest), leading to the effects of social processes, and particularly structural racism, becoming hidden. In this paper, we describe a framework for understanding the pathways that have generated ethnic (and racial) inequalities in COVID-19. We suggest that differences in health outcomes due to the pandemic could arise through six pathways: (1) differential exposure to the virus; (2) differential vulnerability to infection/disease; (3) differential health consequences of the disease; (4) differential social consequences of the disease; (5) differential effectiveness of pandemic control measures and (6) differential adverse consequences of control measures. Current research provides only a partial understanding of some of these pathways. Future research and action will require a clearer understanding of the multiple dimensions of ethnicity and an appreciation of the complex interplay of social and biological pathways through which ethnic inequalities arise. Our framework highlights the gaps in the current evidence and pathways that need further investigation in research that aims to address these inequalities.

scholarly journals Media consumption and mental health during COVID-19 lockdown: a UK cross-sectional study across England, Wales, Scotland and Northern Ireland

2021 ◽  
Author(s):  
Ruth D Neill ◽  
Carolyn Blair ◽  
Paul Best ◽  
Emily McGlinchey ◽  
Cherie Armour
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Media Exposure ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Future Research ◽  
Media Consumption ◽  
Sectional Study ◽  
Cross Sectional ◽  
Longitudinal Data Collection

Abstract Aim As individuals adjust to new ‘norms’ and ways of living during the COVID-19 lockdown, there is a continuing need for up-to-date information and guidance. Evidence suggests that frequent media exposure is related to a higher prevalence of mental health problems, especially anxiety and depression. The aim of this study was to determine whether COVID-19 related media consumption is associated with changes in mental health outcomes. Methods This paper presents baseline data from the COVID-19 Psychological Wellbeing Study. The cross-sectional study data was collected using an online survey following the Generalised Anxiety Disorder scale (GAD-7) and the Patient Health Questionnaire (PHQ-9), with some other basic information collected. Logistic regression analysis was used to examine the influence of socio-demographic and media specific factors on anxiety and depression. Results The study suggested that media usage is statistically significantly associated with anxiety and depression on the GAD-7 and PHQ-9 scales with excessive media exposure related to higher anxiety and depression scores. Conclusion This study indicated that higher media consumption was associated with higher levels of anxiety and depression. Worldwide it should be acknowledged that excessive media consumption, particularly social media relating to COVID-19, can have an effect on mental health. However, as this was a cross-sectional study we cannot infer any directionality as we cannot infer cause and effect; therefore, future research involving longitudinal data collection and analyses of variables over time is warranted.

A Descriptive Analysis of Music Therapy Employment from 2013 to 2019

2020 ◽  
Author(s):  
Jonathon Oden
Keyword(s):  
Music Therapy ◽  
Descriptive Analysis ◽  
American Music ◽  
High Rate ◽  
Future Research ◽  
Full Time ◽  
Music Therapists ◽  
Funding Sources ◽  
Part Time ◽  
Therapy Services

Abstract The purpose of this study was to descriptively analyze music therapy employment data from 2013 to 2019, including years in the field, gender, age, ethnicity, hours worked, jobs created, number of new board-certified music therapists (MT-BCs), funding sources, and wages. A database was created to analyze descriptive data from the 2013–2019 American Music Therapy Association Workforce Analysis Surveys as well as data from the Certification Board for Music Therapists. Results indicate a large portion of music therapists (MTs) have been in the field for five years or less. Though the majority of MTs work full time, there is a high rate of part-time employment. An estimate of the total number of new full-time jobs represented a ratio of 57% of new MT-BCs during the period. Private pay was the most reported funding source for music therapy services. Music therapy wages tended to be higher for those with higher levels of education. Limitations of the study and suggestions for future research are provided.

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