Fear and Anxiety in Young Children and Their Assessment

2019 ◽  
pp. 387-416
Author(s):  
Suzanne Broeren ◽  
Jennifer L. Hudson ◽  
Ronald M. Rapee
Keyword(s):  
Mental Health ◽  
Young Children ◽  
Mental Health Problems ◽  
Daily Life ◽  
Childhood Development ◽  
Childhood And Adolescence ◽  
Age Group ◽  
Standardized Measures ◽  
Increased Risk ◽  
Fear And Anxiety

Fear and anxiety are normal aspects of childhood development. For some young children, the experience of fear and anxiety can become severe and chronic and can start to interfere with daily life. If intervention is not provided, these problems tend to remain fairly stable over childhood and adolescence and are associated with an increased risk for other mental health problems across the life span. Before interventions can be delivered to young children, early detection of fear and anxiety using psychometrically sound and standardized measures is needed. In addition to providing a review of fear and anxiety in young children, this chapter provides a summary of the methods used to assess anxiety in this age group, discussing relevant measures along with the pragmatics of assessment. A multimethod, multisource approach to the assessment of fear and anxiety in young children is recommended.

scholarly journals Associations between conformity to masculine norms and depression: age effects from a population study of Australian men

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Danielle Herreen ◽  
Simon Rice ◽  
Dianne Currier ◽  
Marisa Schlichthorst ◽  
Ian Zajac
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Mental Health Problems ◽  
Age Groups ◽  
Age Group ◽  
Strict Adherence ◽  
Conformity To Masculine Norms ◽  
Masculine Norms ◽  
Increased Risk ◽  
Depression History

Abstract Background Strict adherence to masculine norms has been associated with deleterious consequences for the physical and mental health of men. However, population-based research is lacking, and it remains unclear whether ageing influences adherence to masculine norms and the extent to which mental health problems like depression are implicated. Methods This study reports on data from 14,516 males aged 15–55 years who participated in Wave 1 of the Australian Longitudinal Study of Male Health (Ten to Men). Group differences in self-reported conformity to masculine norms (CMNI-22), current depressive symptoms (PHQ-9), and self-reported 12-month depression history were examined for males aged 15–17 years, 18–25 years, 26–35 years, 36–50 years, and 51–55 years. Generalised linear models were used to examine the relationships between these variables across age groups. Results Conformity to masculine norms decreased significantly with age. However, models predicting depression generally showed that higher conformity to masculine norms was associated with an increased risk of current depressive symptoms, especially in the oldest age group. Conversely, higher conformity was associated with a decreased likelihood of a self-reported 12-month depression history, although nuances were present between age groups, such that this trend was not evident in the oldest age group. Conclusions Findings provide important insights into the complex relationship between conformity to masculine norms and depressive symptoms across the lifespan and further highlight the importance of mental health campaigns that address the complexities of gendered help-seeking behaviour for men.

scholarly journals The impact of pandemic on our daily life: the case of the India

2021 ◽  
Vol 27 (4) ◽  
pp. 44-53
Author(s):  
Debajyoti Gupta
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Daily Life ◽  
Online Classes ◽  
Online Mode ◽  
Network Problems ◽  
Increased Risk ◽  
Long Time ◽  
The Impact

We feel lonely from time to time and these feelings of loneliness sometimes have a serious effect on our mental health. However, in this pandemic this feeling of loneliness was a long time scenario. It has been seen that the long-term loneliness is associated with an increased risk of certain mental health problems, including depression, anxiety and increased stress. During this Pandemic we have seen a different situation and a change this change has a serious impact on everyone’s life. Due to Covid-19 there was a serious lock down in the country. This lock down has created a feeling of separation and loneliness in the life’s of every individual, due to this lockdown all schools, colleges and Universities have been closed and due to this everything was in an online mode. Many students living in the villages in India had to face a lot of network problems and it was a problem for them to do online classes. All the markets and shops were closed and there was also a rise in the prices and the small shops have to face a lot of losses due to this pandemic situation. Hope everyone can get a better life after this pandemic. My work is focused on all over India but especially on Tripura.

Low Physical Activity in Adolescence is Associated with Increased Risk for Mental Health Problems

2009 ◽  
Vol 13 (2) ◽  
pp. 74-81 ◽  
Author(s):  
Karin Monshouwer ◽  
Margreet ten Have ◽  
Mireille Van Poppel ◽  
Han Kemper ◽  
Wilma Vollebergh
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Mental Health Problems ◽  
Health Problems ◽  
Increased Risk

Family Type Predicts Mental Health Problems in Young Adults: A Survey of Students at a University in Botswana

2020 ◽  
Vol 32 (2) ◽  
Author(s):  
Kennedy Amone-P'Olak ◽  
Boniface Kealeboga Ramotuana
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Mental Health Problems ◽  
Single Mother ◽  
Health Problems ◽  
Family Type ◽  
Cross Sectional ◽  
Intact Family ◽  
Increased Risk ◽  
Family Types

In Africa, the structure of the family is changing rapidly. The effects of this change on mental health remain unknown. This study investigated the extent to which different family types (intact, single-mother, and multiple) predict mental health problems in young adults in Botswana (N = 264, mean age = 21.31, SD = 2.40). In a cross-sectional design, the study sampled students registered at various faculties at the University of Botswana. The revised symptoms checklist (SCL-90-R) was used to assess symptoms of mental health problems (depression, anxiety and hostility). Binary logistic regression analyses were performed to obtain odds ratios (ORs) and 95 per cent confidence intervals (CIs) of mental health problems for mother-only and multiple family types relative to the intact family type. Compared to the intact family type, single-mother (OR = 2.34; 95% CI: 1.21, 4.51) and multiple family types (OR = 1.56; CI: 0.88, 2.78) were associated with an increased risk of depression. For anxiety, the ORs were 2.27 (CI: 1.18, 4.38) and 1.10 (CI: 0.56, 1.82) for single-mother and multiple family types respectively. For hostility, the ORs were 2.60 (CI: 1.34, 5.04), and 0.79 (CI: 0.44, 1.42) for single-mother and multiple family types, respectively. Family types predict mental health problems in young adults and therefore the interventions to mitigate the effects should consider family backgrounds and the ramifications of family types for treatment and care.

Evidence-Based Practice in School Mental Health

2019 ◽  
Keyword(s):  
Mental Health ◽  
Mental Disorders ◽  
Mental Health Problems ◽  
Common Mental Disorders ◽  
Adolescent Psychopathology ◽  
Real Life ◽  
Childhood And Adolescence ◽  
Dsm 5 ◽  
School Based ◽  
K 12

Schools have become the default mental health providers for children and adolescents, but they are often poorly equipped to meet the mental health needs of their students. The introduction tackles how to make students eligible for school-based services using the Individuals with Disabilities Education Act or Section 504 of the Rehabilitation Act. Using the new DSM-5 as an organizing principle, this book then addresses the 12 most common mental disorders of childhood and adolescence, ages 3–18. While there are many books that address child and adolescent psychopathology, this book focuses on how to help students with mental disorders in pre-K–12 schools. Each chapter addresses the prevalence of a disorder in school-age populations, appropriate diagnostic criteria, differential diagnosis, comorbid disorders, rapid assessment instruments available, school-based interventions using multitiered systems of support, and easy-to-follow suggestions for progress monitoring. Unique to this book, each chapter has detailed suggestions for how school-based clinicians can collaborate with teachers, parents, and community providers to address the needs of youth with mental health problems so that school, home, and community work together. Each chapter ends with a list of extensive web resources and a real-life case example drawn from the clinical practice of the authors. The final chapter addresses two newly proposed diagnoses for self-harm in the DSM-5 and brings a cautious and sensible approach to assessing and helping students who may be at risk for serious self-injury or suicide.

scholarly journals Overview of CAPICE—Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe—an EU Marie Skłodowska-Curie International Training Network

2021 ◽  
Author(s):  
Hema Sekhar Reddy Rajula ◽  
Mirko Manchia ◽  
Kratika Agarwal ◽  
Wonuola A. Akingbuwa ◽  
Andrea G. Allegrini ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Mental Health Problems ◽  
Interdisciplinary Collaboration ◽  
Adolescent Psychopathology ◽  
Childhood And Adolescence ◽  
Global Alliance ◽  
Dissemination Strategy ◽  
Health And Wellbeing ◽  
Hyperactivity Disorder

AbstractThe Roadmap for Mental Health and Wellbeing Research in Europe (ROAMER) identified child and adolescent mental illness as a priority area for research. CAPICE (Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe) is a European Union (EU) funded training network aimed at investigating the causes of individual differences in common childhood and adolescent psychopathology, especially depression, anxiety, and attention deficit hyperactivity disorder. CAPICE brings together eight birth and childhood cohorts as well as other cohorts from the EArly Genetics and Life course Epidemiology (EAGLE) consortium, including twin cohorts, with unique longitudinal data on environmental exposures and mental health problems, and genetic data on participants. Here we describe the objectives, summarize the methodological approaches and initial results, and present the dissemination strategy of the CAPICE network. Besides identifying genetic and epigenetic variants associated with these phenotypes, analyses have been performed to shed light on the role of genetic factors and the interplay with the environment in influencing the persistence of symptoms across the lifespan. Data harmonization and building an advanced data catalogue are also part of the work plan. Findings will be disseminated to non-academic parties, in close collaboration with the Global Alliance of Mental Illness Advocacy Networks-Europe (GAMIAN-Europe).

Gendered experiences of unemployment, suicide and self-harm: a population-level record linkage study

2021 ◽  
pp. 1-9
Author(s):  
R. Cunningham ◽  
A. Milner ◽  
S. Gibb ◽  
V. Rijnberg ◽  
G. Disney ◽  
...  
Keyword(s):  
Mental Health ◽  
Employment Status ◽  
Mental Health Problems ◽  
Labour Force ◽  
Antidepressant Medication ◽  
Population Level ◽  
Related Factors ◽  
Data Infrastructure ◽  
Increased Risk ◽  
Self Harm

Abstract Background Unemployment and being not in the labour force (NILF) are risk factors for suicide, but their association with self-harm is unclear, and there is continuing debate about the role of confounding by prior mental health conditions. We examine associations between employment status and self-harm and suicide in a prospective cohort, taking into account prior mental-health-related factors. Methods We used linked data from the New Zealand Integrated Data Infrastructure. The outcomes were chosen to be hospital presentation for self-harm and death by suicide. The exposure was employment status, defined as employed, unemployed, or NILF, measured at the 2013 Census. Confounders included demographic factors and mental health history (use of antidepressant medication, use of mental health services, and prior self-harm). Logistic regression was used to model effects. Analyses were stratified by gender. Results For males, unemployment was associated with an increased risk of suicide [odds ratio (OR): 1.48, 95% confidence interval (CI): 1.20–1.84] and self-harm (OR: 1.55, 95% CI: 1.45–1.68) after full adjustment for confounders. NILF was associated with an increased risk of self-harm (OR: 1.43, 95% CI: 1.32–1.55), but less of an association was seen with suicide (OR: 1.19, 95% CI: 0.94–1.49). For females, unemployment was associated with an increased risk of suicide (OR: 1.30, 95% CI: 0.93–1.80) and of self-harm (OR: 1.52, 95% CI: 1.43–1.62), and NILF was associated with a similar increase in risk for suicide (OR: 1.31, 95% CI: 0.98–1.75) and self-harm (OR: 1.32, 95% CI: 1.26–1.40). Discussion Exclusion from employment is associated with a considerably heightened risk of suicide and self-harm for both men and women, even among those without prior mental health problems.

scholarly journals The effect of childhood deprivation on weight status and mental health in childhood and adolescence: longitudinal findings from the Millennium Cohort Study

2018 ◽  
Vol 41 (3) ◽  
pp. 456-461 ◽  
Author(s):  
Robert J Noonan
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Health Outcomes ◽  
Weight Status ◽  
Mental Health Problems ◽  
Health Problems ◽  
Childhood And Adolescence ◽  
Millennium Cohort Study ◽  
Strengths And Difficulties ◽  
Childhood Deprivation

Abstract Background The study aims were to: (i) examine associations between deprivation at age 7 and health outcomes at age 7 and 14, (ii) determine whether a deprivation gradient to health outcomes exists at age 7 and 14, and (iii) assess the extent to which health outcomes at age 7 are associated with health outcomes at age 14. Methods Data were from wave four and six of the Millennium Cohort Study. Health outcome measures were weight status, and Strengths and Difficulties Questionnaire measured mental health problems. Deprivation was determined using the 2004 English Indices of Multiple Deprivation. Adjusted logistic and multinomial logistic regressions were conducted. Results A total of 6109 children (1890 girls) had complete data. Overweight, obesity and mental health problems were greatest among children in the highest deprivation decile at age 7 and 14 (P < 0.001). Health outcomes at age 7 were significantly associated with health outcomes at age 14 (P < 0.001). Conclusions A marked social gradient to weight status and mental health was evident at age 7 and 14, and no evidence of equalization was found. Weight status and mental health in childhood is strongly associated with weight status and mental health in adolescence.

scholarly journals Predictors of clinical deterioration in patients with suspected COVID-19 managed in a ‘virtual hospital’ setting: a cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e045356
Author(s):  
Nick A Francis ◽  
Beth Stuart ◽  
Matthew Knight ◽  
Rama Vancheeswaran ◽  
Charles Oliver ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Hospital Setting ◽  
Health Problems ◽  
Clinical Deterioration ◽  
Care Services ◽  
Increased Risk ◽  
Remote Assessment ◽  
History Of

ObjectiveIdentify predictors of clinical deterioration in a virtual hospital (VH) setting for COVID-19.DesignReal-world prospective observational study.SettingVH remote assessment service in West Hertfordshire NHS Trust, UK.ParticipantsPatients with suspected COVID-19 illness enrolled directly from the community (postaccident and emergency (A&E) or medical intake assessment) or postinpatient admission.Main outcome measureDeath or (re-)admission to inpatient hospital care during VH follow-up and for 2 weeks post-VH discharge.Results900 patients with a clinical diagnosis of COVID-19 (455 referred from A&E or medical intake and 445 postinpatient) were included in the analysis. 76 (8.4%) of these experienced clinical deterioration (15 deaths in admitted patients, 3 deaths in patients not admitted and 58 additional inpatient admissions). Predictors of clinical deterioration were increase in age (OR 1.04 (95% CI 1.02 to 1.06) per year of age), history of cancer (OR 2.87 (95% CI 1.41 to 5.82)), history of mental health problems (OR 1.76 (95% CI 1.02 to 3.04)), severely impaired renal function (OR for eGFR <30=9.09 (95% CI 2.01 to 41.09)) and having a positive SARS-CoV-2 PCR result (OR 2.0 (95% CI 1.11 to 3.60)).ConclusionsThese predictors may help direct intensity of monitoring for patients with suspected or confirmed COVID-19 who are being remotely monitored by primary or secondary care services. Further research is needed to confirm our findings and identify the reasons for increased risk of clinical deterioration associated with cancer and mental health problems.

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