scholarly journals Youth With Type 1 Diabetes Experienced a Higher Level of Anxiety During the COVID-19 Pandemic Compared to Healthy Control; A Cross-Sectional Study

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A664-A664
Author(s):  
Caroline Wade ◽  
Leah Akinseye ◽  
Tachele Anderson ◽  
Thresa Borky ◽  
Grace Nelson ◽  
...  
Keyword(s):  
Mental Health ◽  
Type 1 Diabetes ◽  
African American ◽  
Well Being ◽  
Anxiety And Depression ◽  
Healthy Children ◽  
Healthy Controls ◽  
Depression And Anxiety ◽  
Increased Risk

Abstract Background and Aims: Diabetes is highly associated with depression and anxiety. With the coronavirus disease 2019 (COVID-19) pandemic, the prevalence of mental health issues in the general population appears to be increasing rapidly (1). Thus, we evaluated psychological heath in pediatric type 1 diabetes (T1D) patients and caregivers during the lockdown phase of the COVID-19 pandemic. Our objective was to compare the levels of depression and anxiety in youth with T1D and their caregivers to those of healthy controls. We hypothesized that youth with T1D would experience higher levels of depression and anxiety than healthy controls during the COVID-19 pandemic (Aim 1). We also explored potential causes of increased depression/anxiety in T1D (Aim 2). We aimed to further understand psychosocial well-being in T1D during the COVID-19 pandemic and identify mechanisms to support this population in global crises. Methods: A week after the start of Tennessee’s shelter-in-place order, we performed 15-minute phone surveys to screen for anxiety and depression in families with children with T1D (n=100, mean age of children=13.8 years, mean HbA1c=8.95%, Race=Caucasian (55%)/African American (43%)) and healthy children (mean age of children=5.7 years, Race=Caucasian (24%)/African American (69%)). Depression and anxiety were assessed by a standard assessment tool, the Patient Health Questionnaire (PHQ-4), a 4-item inventory rated on a 4-point Likert scale that briefly assesses depression and anxiety. Anxiety/depression-related variables were compared based on T1D status using the Chi-square test or t-test, as appropriate. The association between T1D and risk of anxiety and depression was examined using logistic regression adjusted for potential confounders. For families with T1D, additional questions were administered to identify specific concerns associated with T1D care. Results: Compared to controls, T1D was associated with a five times higher risk of anxiety in multivariable adjusted models, OR=5.02 (95% confidence interval: 1.83, 14.84), P=0.002. Additionally, 26/52 T1D families (50%) had significant concern for being at a higher risk for severe COVID-19 infection due to T1D and 14/52 T1D families (27%) were worried about obtaining insulin and diabetes supplies. Conclusions: Pediatric T1D is associated with an increased risk of anxiety but not depression in the acute phase of the COVID-19 pandemic. Elevated anxiety in T1D during the COVID-19 pandemic appears to be, at least in part, due to fear of higher risk of severe COVID-19 infection and uncertainty regarding access to insulin and diabetes supplies. Further studies to address mental health in T1D during global emergencies and advocacy to develop systems to ensure access to medical resources for pediatric T1D are warranted. 1. Stein MB. EDITORIAL: COVID-19 and Anxiety and Depression in 2020. Depress Anxiety. 2020;37(4):302.

Decreased Flow-Mediated Dilatation in Children With Type 1 Diabetes: A Systematic Review and Meta-Analysis

Angiology ◽  
2021 ◽  
pp. 000331972110100
Author(s):  
Lei Cao ◽  
Miao Hou ◽  
Wanping Zhou ◽  
Ling Sun ◽  
Jie Shen ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Type 1 Diabetes ◽  
Endothelial Function ◽  
Meta Analysis ◽  
Quality Data ◽  
Cochrane Library ◽  
Healthy Children ◽  
Healthy Controls ◽  
Flow Mediated Dilatation

Type 1 diabetes (T1DM) is a strong risk factor for the development of cardiovascular disease. Flow-mediated dilatation (FMD) is an early noninvasive marker of endothelial function and it predicts future cardiovascular disease. However, the changes in FMD among T1DM children are still controversial. The present meta-analysis aimed to investigate whether FMD is impaired in children with T1DM. PubMed, EMBASE, Cochrane library, and Web of Science were searched for studies comparing FMD in children with T1DM and healthy controls. The Newcastle-Ottawa quality assessment scale for case–control studies was used to assess study quality. Data were pooled using a random effects models to obtain the weighted mean differences (WMD) in FMD and 95% CIs. Overall, 19 studies with 1245 patients and 872 healthy controls were included in this meta-analysis. Children with T1DM had significantly lower FMDs compared with healthy controls (WMD: −2.58; 95% CI: −3.36 to −1.81; P < .001). Meta-regression analysis revealed that low-density lipoprotein cholesterol levels impacted the observed difference in FMD between T1DM and healthy children. This meta-analysis showed that T1DM children have impaired endothelial function, which indicates they are at higher risk of developing cardiovascular disease in later life.

Mental health and well-being among type 1 diabetes caregivers in India: Evidence from the IDREAM study

2017 ◽  
Vol 134 ◽  
pp. 168-177
Author(s):  
Benjamin D. Capistrant ◽  
Greta Friedemann-Sánchez ◽  
Lindsey K. Novak ◽  
Caroline Zuijdwijk ◽  
Graham D. Ogle ◽  
...  
Keyword(s):  
Mental Health ◽  
Type 1 Diabetes ◽  
Well Being ◽  
Health And Well Being

Risk of Diabetes Mellitus in Patients with Juvenile Idiopathic Arthritis

2019 ◽  
Vol 47 (9) ◽  
pp. 1405-1408
Author(s):  
Hemin Lee ◽  
Yinzhu Jin ◽  
Jun Liu ◽  
Ezra M. Cohen ◽  
Sarah K. Chen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Juvenile Idiopathic Arthritis ◽  
Index Date ◽  
Healthy Children ◽  
Healthy Individuals ◽  
Increased Risk ◽  
Asthma Patients

Objective.To examine the risk of type 1 diabetes (T1D) associated with juvenile idiopathic arthritis (JIA).Methods.Using the IBM MarketScan database, we compared JIA patients with asthma patients and healthy individuals for the risk of incident T1D.Results.We included patients with 15,210 JIA, 76,050 patients with asthma, and 76,050 healthy individuals matched 1:5 on age, sex, and index date. After adjustment for confounders, the multivariable HR of T1D associated with JIA was 1.48 (95% CI 0.86–2.56) versus asthma and 1.81 (95% CI 1.03–3.17) versus healthy individuals.Conclusion.JIA appears to be associated with an increased risk of T1D compared to patients with asthma and healthy children.

scholarly journals 42 Training Forgiveness – A Novel Approach to Reducing Physician Burnout

CNS Spectrums ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 198-199 ◽  
Author(s):  
Lidia Firulescu ◽  
Ross W. May ◽  
Frank D. Fincham ◽  
Emelina A. Arocha ◽  
Marcos A. Sanchez-Gonzalez
Keyword(s):  
Mental Health ◽  
Physical Health ◽  
Well Being ◽  
Anxiety And Depression ◽  
P Value ◽  
Depression And Anxiety ◽  
Physician Burnout ◽  
Study Objective ◽  
Work Related ◽  
Mental And Physical Health

AbstractStudy ObjectivePsychological risk factors that lead to impaired work performance, negatively impacting mental and physical health, have emerged as a concern across clinical settings. Although depression and anxiety are linked to poor physician mental health, physician burnout characterized by work related stress due to chronic exhaustion from clinical work, cynicism toward meaning of the medical profession, and feelings of inadequacy toward work related accomplishments, may be an even stronger indicator of well-being. Literature suggests that work satisfaction among physicians is rapidly deteriorating owing to high rates of burn out and poor mental health. Although the relationship between work burnout (WB) and negative affectivity has been well documented, the association with positive affect, such as trait forgiveness (TF) has been overlooked. On that note, research shows that lifetime stress severity and lower levels of forgiveness predict worse mental and physical health. Since TF has been linked strongly with healthy workplace relationships, positive occupational outcomes and general well-being, its association with WB remains to be investigated. Therefore, the aim of the present study was to explore the link between TF and WB among physicians. We hypothesized that TF would be associated with reduced levels of burnout.MethodA total of 62 (F=23) medical residents at a Teaching Hospital consented for the study. Residents were administered surveys on WB (Maslach BurnoutInventory), workplace bullying, personal bullying (PB), interpersonal rejection sensitivity (IRS), perceived stress scale (PSS), TF, anxiety, and depression, all of which were anonymously submitted via electronically. Hierarchical multiple regression (HMR) models were used to determine the associations between WB, work environment social factors and TF. A p-value of <0.05 was considered significant.ResultsThe mean age 33.1±SD 4.2 years. HMR analysis using WB as main outcome contained 6 predictors: Model 1 contained depression and anxiety, Model 2 added PB, Model 3 added IRS and PSS, Model 4 added TF. Anxiety and TF were the only significant predictors (p= >0.05) accounting for 10.4% and 17.5% of the variance in WB scores, respectively.ConclusionsThe novel finding of the present study is that TF was associated with low levels of burnout. Additionally, WB was found to be linked to anxiety and depression which is in line with previous research. These data suggest that TF could be a potential resolution to the deleterious influence of burnout. Further exploration is needed in order to understand the psychology of forgiveness as a potential adjuvant and/or therapeutic intervention for physicians’ burnout. These results suggest that strategies including forgiveness training aimed at decreasing WB while increasing job satisfaction among physicians warrant further exploration.Funding Acknowledgements: no funding

The associations between mental health, health-related quality of life and insulin pump therapy among children and adolescents with type 1 diabetes

2018 ◽  
Vol 31 (10) ◽  
pp. 1065-1072 ◽  
Author(s):  
Brigitta Munkácsi ◽  
Gábor Papp ◽  
Enikő Felszeghy ◽  
Karolina Eszter Kovács ◽  
Beáta Erika Nagy
Keyword(s):  
Mental Health ◽  
Type 1 Diabetes ◽  
Children And Adolescents ◽  
Mental Health Problems ◽  
Well Being ◽  
Health Problems ◽  
Insulin Pump Therapy ◽  
Control Group ◽  
Subjective Well Being

Abstract Background Diabetes has previously been linked to mental health problems in children and adolescents, but more recent studies have yielded mixed findings. The aim of the current study was to compare symptoms of mental health problems in children and adolescents with and without type 1 diabetes (T1DM). Methods Life quality, subjective well-being, self-rated health, depression and somatic symptoms in children and adolescents with diabetes (n=130) were measured and compared to the results of a socio-demographically joined control group (n=177) which consists of healthy children and adolescents. Results A significant difference could be observed between the groups in well-being and depressive symptoms as according to the results, the research sample namely the children with T1DM could be described with significantly higher subjective well-being and mood, but with less physical symptoms and lower level of depression as those in the control group. Conclusions These findings suggest that T1DM is not associated with an increased risk of psychosocial problems, and confirm that even a severe disease of a child can lead to personal growth.

scholarly journals The Prevalence of Depression and Anxiety and Their Lifestyle Determinants in a Large Sample of Iranian Adults: Results from a Population Based Cross-Sectional Study

2020 ◽  
Vol 21 (2) ◽  
pp. 163-170
Author(s):  
Zeinab Alizadeh ◽  
Awat Feizi ◽  
Mehri Rejali ◽  
Hamid Afshar ◽  
Ammar Hassanzadeh Keshteli ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Population Based ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Depression And Anxiety ◽  
Sectional Study ◽  
Cross Sectional ◽  
Large Sample ◽  
Increased Risk

AbstractAssociation of lifestyle-related factors and mental health has been less studied in Middle Eastern countries. This study aimed to examine the prevalence of two common mental health problems, i.e., depression and anxiety, and their lifestyle determinants in a large sample of Iranian population.This study was conducted within the framework of SEPAHAN population based cross-sectional study (N=4763(. The General Practice Physical Activity Questionnaire (GPPAQ) was used to assess physical activity and the Iranian-validated version of Hospital Anxiety and Depression Scale (HADS) was applied to screen for anxiety and depression. Logistic regression was used as the main statistical method for data analysis by SPSS version 16.0. A P-value <0.05 was considered to be statistically significant.The risk of anxiety and depression was 2.5 (OR=2.56,95% CI: 1.97-3.33) and 2.21(1.83-2.67) times higher in women than men, respectively. With every one-year increase in the age, the risk of anxiety decreased by 2% (OR=0.98,95% CI:0.97-0.99). Individuals with higher education had 56% lower risk of anxiety (OR=0.44,95% CI: 0.36-0.55) and 46% depression (OR=0.54,95% CI: 0.46-0.64) than the undergraduate group, and the risk of depression in the inactive (less than one hour of activity per week) group was 27% higher than the active group (OR=1.27,95% CI: 1.06-1.51). The risk of anxiety in the non-smoker group was 65% (OR=0.35,95% CI: 0.20-0.59) and depression was 64% lower than among smokers (OR=0.34,95% CI:0.22-0.53). In the ex-smoker group, the risk of anxiety was 60% (OR=0.40,95% CI:0.19-0.85) and depression was 59% lower than for the smoker group (OR=0.41,95% CI: 0.24-0.73).This current study’s results demonstrated significant associations between unhealthy lifestyle factors and increased risk of anxiety and depression. Hence, special attention must be paid to preventive intervention programmes aiming to enhance healthy lifestyle among at-risk populations.

scholarly journals 147 Training Forgiveness. A Novel Approach to Reducing Physician Burnout

CNS Spectrums ◽  
2020 ◽  
Vol 25 (2) ◽  
pp. 293-294 ◽  
Author(s):  
Lidia Firulescu ◽  
Ross W. May ◽  
Frank D. Fincham ◽  
Emelina A. Arocha ◽  
Marcos A. Sanchez-Gonzalez
Keyword(s):  
Mental Health ◽  
Physical Health ◽  
Maslach Burnout Inventory ◽  
Well Being ◽  
Anxiety And Depression ◽  
Depression And Anxiety ◽  
Physician Burnout ◽  
Study Objective ◽  
Work Related ◽  
Mental And Physical Health

Abstract:Study Objective:Psychological risk factors that lead to impaired work performance, negatively impacting mental and physical health, have emerged as a concern across clinical settings. Although depression and anxiety are linked to poor physician mental health, physician burnout characterized by work related stress due to chronic exhaustion from clinical work, cynicism toward meaning of the medical profession, and feelings of inadequacy toward work related accomplishments, may be an even stronger indicator of well-being. Literature suggests that work satisfaction among physicians is rapidly deteriorating owing to high rates of burnout and poor mental health. Although the relationship between work burnout (WB) and negative affectivity has been well documented, the association with positive affect, such as trait forgiveness (TF) has been overlooked. On that note, research shows that lifetime stress severity and lower levels of forgiveness predict worse mental and physical health. Since TF has been linked strongly with healthy workplace relationships, positive occupational outcomes and general well-being, its association with WB remains to be investigated. Therefore, the aim of the present study was to explore the link between TF and WB among physicians. We hypothesized that TF would be associated with reduced levels of burnout.Method:A total of 62 (F=23) medical residents at a Teaching Hospital consented for the study. Residents were administered surveys on WB (Maslach Burnout Inventory), workplace bullying, personal bullying (PB), interpersonal rejection sensitivity (IRS), perceived stress scale (PSS), TF, anxiety, and depression, all of which were anonymously submitted via electronically. Hierarchical multiple regression (HMR) models were used to determine the associations between WB, work environment social factors and TF. A p-value of <0.05 was considered significant.Results:The mean age 33.1 ± SD 4.2 years. HMR analysis using WB as main outcome contained 6 predictors: Model 1 contained depression and anxiety, Model 2 added PB, Model 3 added IRS and PSS, Model 4 added TF. Anxiety and TF were the only significant predictors (p= >0.05) accounting for 10.4% and 17.5% of the variance in WB scores, respectively.Conclusions:The novel finding of the present study is that TF was associated with low levels of burnout. Additionally, WB was found to be linked to anxiety and depression which is in line with previous research. These data suggest that TF could be a potential resolution to the deleterious influence of burnout. Further exploration is needed in order to understand the psychology of forgiveness as a potential adjuvant and/or therapeutic intervention for physicians’ burnout. These results suggest that strategies including forgiveness training aimed at decreasing WB while increasing job satisfaction among physicians warrant further exploration.

scholarly journals Association of Mental Health and Aggression against Co-Workers in Indian Banks during COVID 19

2021 ◽  
pp. 151-162
Author(s):  
Shivani Dutt ◽  
Rashmy Moray
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Well Being ◽  
Testing Procedure ◽  
Health Problems ◽  
Anxiety And Depression ◽  
Depression And Anxiety ◽  
Conflict Tactics Scales ◽  
Bank Employees ◽  
Indian Banks

Most representatives working in banks have been affected severely due to COVID 19 widespread in India. This comprehensive examination's key goal is to carefully examine mental health problems such as anxiety and depression among the bank employees and identify their relationship with aggression against their co-workers during COVID-19 circumstance. A non-probability snowball testing procedure has been utilized to direct online surveys from 536 employees. A moderate level of information has been perceived about COVID 19 among the employees working in banks. Besides COVID-19 related information, anxiety was surveyed by English adaptation of GAD-scale; an English version of CES-D has been used to gauge the depression and aggression against co-workers and is assessed by Conflict Tactics Scales. Affiliations between aggressions against co-workers with mental health problems have been recognized using multiple logistic regressions. The predominance of anxiety and depression is 24.27% and 47.72%, respectively. Additionally, the prevalence of the union of depression and anxiety is 20.81%.  71.1% of participants show frequent aggression against co-workers. The research findings depict that frequent aggression against co-workers was particularly connected with mental health issues during the COVID-19 flare-up. These detections ensnared that the administration needs to consider psychological well-being issues, particularly depression and anxiety among bank employees.

scholarly journals Stress, Self-Efficacy, Worries, and Challenges for Caregivers of Children with Type 1 Diabetes During the COVID-19 Pandemic

2020 ◽  
Vol 3 ◽  
Author(s):  
Breanne Hand ◽  
Priya Soni ◽  
Rebecca Oyetoro ◽  
Anastasia Albanese-O’Neill ◽  
Heba Ismail ◽  
...  
Keyword(s):  
Mental Health ◽  
Type 1 Diabetes ◽  
Self Efficacy ◽  
Diabetes Management ◽  
Short Form ◽  
Severe Disease ◽  
Measurement Information ◽  
Increased Risk ◽  
Patient Reported

Background:  Approximately 200,000 American youth live with Type 1 Diabetes (T1D). Intensive daily management is critical to optimize disease outcomes. Little is known about COVID-19 pandemic effects on persons with T1D and their caregivers. We hypothesized caregivers would report increased stress, lower self-efficacy (SE), and more difficult diabetes management associated with the pandemic.     Methods: A 49-item survey using Likert scales and open-ended response questions was distributed via email and T1D-related social media platforms from May 4-June 2,2020 to caregivers of children with T1D <18 years of age. The Patient-Reported Outcomes Measurement Information System (PROMIS) SE short form was used to measure general SE.     Results:  260 caregivers completed surveys: 94.2% female, mean age 42.4±7.7 years, 80.3% college degree or higher, 53.8% annual income >$99,000, 77.3% privately insured. Mean child age 11.0±4.1 years, mean T1D duration 4.2±3.4 years. 24.2% reported having COVID-19 or knowing someone diagnosed with COVID-19. 71.9% reported greater stress than before the pandemic. 9.6% reported job loss, 25.8% financial difficulty related to COVID-19. General SE levels were high, significantly correlated with overall COVID-19-related SE (r=0.394, p<0.001), and T1D care-SE during COVID-19 (r=0.421, p<0.001). 210 respondents provided open-ended response qualitative information on worries: 87.6% reported a worry, remainder not worried.  Common worries were COVID-19-related diabetes complications including uncontrolled blood sugars, diabetic ketoacidosis, and worry about child’s increased risk for severe disease, including death. 209 reported about challenges; 90.9% stated they had at least one challenge. Family isolation and mental health were the most-stated challenges.     Conclusion:  Despite reporting high overall SE, caregivers of T1D children during the pandemic reported greater overall stress, worries, and challenges. Given that data do not suggest that children with T1D are at increased risk of COVID-19 complications, healthcare providers should work to address this knowledge gap while providing families with social and mental health supports. 

Gut Microbiota in T1DM-Onset Pediatric Patients: Machine-Learning Algorithms to Classify Microorganisms as Disease Linked

2020 ◽  
Vol 105 (9) ◽  
pp. e3114-e3126
Author(s):  
Roberto Biassoni ◽  
Eddi Di Marco ◽  
Margherita Squillario ◽  
Annalisa Barla ◽  
Gianluca Piccolo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Type 1 Diabetes ◽  
Relative Abundance ◽  
Pediatric Patients ◽  
Age At Onset ◽  
Machine Learning Algorithms ◽  
Healthy Children ◽  
Healthy Controls ◽  
Diabetes Patients

Abstract Aims The purpose of this work is to find the gut microbial fingerprinting of pediatric patients with type 1 diabetes. Methods The microbiome of 31 children with type 1 diabetes at onset and of 25 healthy children was determined using multiple polymorphic regions of the 16S ribosomal RNA. We performed machine-learning analyses and metagenome functional analysis to identify significant taxa and their metabolic pathways content. Results Compared with healthy controls, patients showed a significantly higher relative abundance of the following most important taxa: Bacteroides stercoris, Bacteroides fragilis, Bacteroides intestinalis, Bifidobacterium bifidum, Gammaproteobacteria and its descendants, Holdemania, and Synergistetes and its descendants. On the contrary, the relative abundance of Bacteroides vulgatus, Deltaproteobacteria and its descendants, Parasutterella and the Lactobacillus, Turicibacter genera were significantly lower in patients with respect to healthy controls. The predicted metabolic pathway more associated with type 1 diabetes patients concerns “carbon metabolism,” sugar and iron metabolisms in particular. Among the clinical variables considered, standardized body mass index, anti-insulin autoantibodies, glycemia, hemoglobin A1c, Tanner stage, and age at onset emerged as most significant positively or negatively correlated with specific clusters of taxa. Conclusions The relative abundance and supervised analyses confirmed the importance of B stercoris in type 1 diabetes patients at onset and showed a relevant role of Synergistetes and its descendants in patients with respect to healthy controls. In general the robustness and coherence of the showed results underline the relevance of studying the microbioma using multiple polymorphic regions, different types of analysis, and different approaches within each analysis.

Sign in / Sign up

Export Citation Format

Share Document