Risk factors for PTSD, anxiety, and depression among adolescents in gaza

2012 ◽  
Vol 25 (2) ◽  
pp. 164-170 ◽  
Author(s):  
Silje Kolltveit ◽  
Ida Ingridsdatter Lange-Nielsen ◽  
Abdel Aziz Mousa Thabet ◽  
Atle Dyregrov ◽  
Ståle Pallesen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Anxiety And Depression

scholarly journals Sociodemographic and Psychological Risk Factors for Anxiety and Depression: Findings from the Covid-19 Health and Adherence Research in Scotland on Mental Health (CHARIS-MH) Cross-sectional Survey

2021 ◽  
Author(s):  
Gill Hubbard ◽  
Chantal den Daas ◽  
Marie Johnston ◽  
Diane Dixon
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Social Support ◽  
Illness Representations ◽  
Gender Effects ◽  
Anxiety And Depression ◽  
Perceived Threat ◽  
Cross Sectional ◽  
Psychological Risk Factors ◽  
Psychological Risk

Abstract Background Investigations about mental health report prevalence rates with fewer studies investigating psychological and social factors influencing mental health during the Covid-19 pandemic. Study aims: (1) identify sociodemographic groups of the adult population at risk of anxiety and depression and (2) determine if the following social and psychological risk factors for poor mental health moderated these direct sociodemographic effects: loneliness, social support, threat perception, illness representations. Methods Cross-sectional nationally representative telephone survey in Scotland in June 2020. If available, validated instruments were used, for example, Patient Health Questionnaire (PHQ-4) to measure anxiety and depression. Simple linear regressions followed by examination of moderation effect. Results A total of 1006 participants; median age 53 years, 61.4% female, from all levels of area deprivation (i.e., 3.8% in the most deprived decile and 15.6% in the most affluent decile). Analyses show associations of anxiety and depression with sociodemographic (age, gender, deprivation), social (social support, loneliness) and psychological factors (perceived threat and illness representations). Mental health was poorer in younger adults, women and people living in the most deprived areas. Age effects were exacerbated by loneliness and illness representations, gender effects by loneliness and illness representations and deprivation effects by loneliness, social support, illness representations and perceived threat. In each case, the moderating variables amplified the detrimental effects of the sociodemographic factors. Conclusions These findings confirm the results of pre-Covid-19 pandemic studies about associations between sociodemographics and mental health. Loneliness, lack of social support and thoughts about Covid-19 exacerbated these effects and offer pointers for pre-emptive action.

scholarly journals A review of risk factors associated with insulin omission for weight loss in type 1 diabetes

2021 ◽  
pp. 135910452110261
Author(s):  
Rebecca Hall ◽  
Leanna Keeble ◽  
Sandra-Ilona Sünram-Lea ◽  
Michelle To
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Type 1 Diabetes ◽  
Body Dissatisfaction ◽  
Vascular Complications ◽  
Anxiety And Depression ◽  
Weight Concerns ◽  
Complications And Mortality ◽  
Insulin Omission

Research suggests that as many as 60% of people with type 1 diabetes (T1D) admit to misusing insulin. Insulin omission (IO) for the purpose of weight loss, often referred to as diabulimia, is a behaviour becoming increasingly recognised, not least since prolonged engagement can lead to serious vascular complications and mortality. Several risk factors appear to be relevant to the development of IO, most notably gender, anxiety and depression and increased weight concerns and body dissatisfaction. Evidence suggests that women, especially young girls, are more likely to omit insulin as a method of weight loss compared to men. Mental health conditions such as anxiety and depression are increasingly prevalent in people with T1D compared to their peers, and appear to contribute to the risk of IO. Increased weight concerns and body dissatisfaction are further prominent risk factors, especially given increases in weight which often occur following diagnosis and the monitoring of weight by diabetes teams. This review presents evidence examining these risk factors which increase the likelihood of a person with T1D engaging in IO and highlights the complications associated with prolongment of the behaviour. Further research looking at the comorbidities of these risk factors, alongside other factors, would provide greater insight into understanding IO in people with T1D.

Prevalence and risk factors for anxiety and depression in patients with COVID-19 in Wuhan, China

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Tao Li ◽  
Siwei Sun ◽  
Bao Liu ◽  
Jing Wang ◽  
Yalan Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Anxiety And Depression

Strong risk factors for depression and anxiety in heart failure patients

2021 ◽  
Author(s):  
Naila Niaz ◽  
Syed Muhammad Faraz Ali ◽  
Attaullah Younas ◽  
Tallat Anwar Faridi ◽  
Asif Hanif
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Ejection Fraction ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Anxiety And Depression ◽  
Team Approach ◽  
Depression And Anxiety ◽  
Ventricular Ejection Fraction ◽  
Heart Failure Patients

Despite advancing medical technology, Heart Failure (HF) is still a prevalent disease with high mortality and high health expenditure. To improve patient outcome and prognosis, it is important to identify the association of risk factors which leads to the co-morbid depression and anxiety in heart failure patients. Objectives: To determine the association of depression and/or anxiety with age, gender and ejection fraction in heart failure patients. Methods: It is an analytical cross sectional study including 323 CHF patients who visited the to the Faisalabad Institute of Cardiology hospital Out-Patient Department, 250 were males and 73 were females, mean age was 54.1 ± 9.2 years having 70 years as maximum and 25 years as minimum.  Data collection was done using Hospital Anxiety and Depression Scale (HADS) questionnaire to assess depression and anxiety. Data was analyzed using SPSS version 24. For quantitative data, mean and standard deviation was calculated and for qualitative data frequency and percentages was calculated. To measure the association of anxiety and depression with age categories, ejection fraction and gender, chi square test was used. P values less than and equal to 0.05 were taken as significant. Results: No association of depression and anxiety with gender and Left Ventricular Ejection Fraction (LVEF) was observed. However, depression and anxiety were found to be significantly associated with age Conclusions: The study concluded that age is a strong risk factor of depression and anxiety in congestive heart failure patients. Multidisciplinary health care team approach and interventions are required to cater chronic heart failure (CHF) patients to address the psychological burden.

scholarly journals Anxiety and depression in patients with obstructive ventilation disorders: the respect study. Part 2

2017 ◽  
Vol 21 (4) ◽  
pp. 15-20
Author(s):  
Elena A Andreeva ◽  
Marina A Pokhaznikova ◽  
Irina E Moiseeva ◽  
Olga Yu Kuznetsova ◽  
Jean-Marie Degryse
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Heart Failure ◽  
Chronic Heart Failure ◽  
Respiratory Symptoms ◽  
Airflow Limitation ◽  
Anxiety And Depression ◽  
Diagnostic Study ◽  
Somatic Diseases ◽  
Anxiety Depression

The article presents an analysis of the risk factors for anxiety and depression in people with airflow limitation based on the results of the second (diagnostic) phase of the RESPECT (RESearch on the PrEvalence and the diagnosis of COPD and its Tobacco-related aetiology). The data indicates that participants with airflow limitation that had been revealed during the epidemiological study and with borderline or abnormal anxiety and/or depression showed in diagnostic study persistent airflow limitation (FEV1/FVC = 66.48 ± 10.22, p < 0.05) and more perceived respiratory symptoms (CAT = 11.1 ± 10.01, mMRC = 1.68 ± 1.02, p < 0.001) compared to those without mental disorders. Also, they tended to have concomitant cardiovascular diseases (coronary heart disease, chronic heart failure, p < 0.001) and diabetes mellitus (p < 0.01) more frequently. Although chronic heart failure is the most prominent risk factor for anxiety/depression, it becomes non-significant when corrected for other somatic diseases and respiratory symptoms.

scholarly journals Anxiety and depression in children and adolescents with obesity: a nationwide study in Sweden

BMC Medicine ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Louise Lindberg ◽  
Emilia Hagman ◽  
Pernilla Danielsson ◽  
Claude Marcus ◽  
Martina Persson
Keyword(s):  
Risk Factors ◽  
Family History ◽  
General Population ◽  
Children And Adolescents ◽  
Neuropsychiatric Disorders ◽  
Obesity Treatment ◽  
Sensitivity Analyses ◽  
Anxiety And Depression ◽  
History Of ◽  
Anxiety Depression

Abstract Background Anxiety and depression are more common in children with obesity than in children of normal weight, but it is unclear whether this association is independent of other known risk factors. Interpretation of results from previous studies is hampered by methodological limitations, including self-reported assessment of anxiety, depression, and anthropometry. The aim of this study was to investigate whether obesity increases the risk of anxiety or depression independently of other risk factors in a large cohort of children and adolescents, using robust measures with regard to exposure and outcome. Methods Children aged 6–17 years in the Swedish Childhood Obesity Treatment Register (BORIS, 2005–2015) were included (n = 12,507) and compared with a matched group (sex, year of birth, and area of residence) from the general population (n = 60,063). The main outcome was a diagnosis of anxiety or depression identified through ICD codes or dispensed prescribed medication within 3 years after the end of obesity treatment. Hazard ratios (HRs) with 95% confidence intervals (CIs) from Cox proportional models were adjusted for several known confounders. Results Obesity remained a significant risk factor for anxiety and depression in children and adolescents after adjusting for Nordic background, neuropsychiatric disorders, family history of anxiety/depression, and socioeconomic status. Girls in the obesity cohort had a 43% higher risk of anxiety and depression compared to girls in the general population (adjusted HR 1.43, 95% CI 1.31–1.57; p < 0.0001). The risk in boys with obesity was similar (adjusted HR 1.33, 95% CI 1.20–1.48; p < 0.0001). In sensitivity analyses, excluding subjects with neuropsychiatric disorders and a family history of anxiety/depression, the estimated risks in individuals with obesity were even higher compared with results from the main analyses (adjusted HR [95% CI]: girls = 1.56 [1.31–1.87], boys = 2.04 [1.64–2.54]). Conclusions Results from this study support the hypothesis that obesity per se is associated with risk of both anxiety and depression in children and adolescents.

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