High-risk alcohol use and anxiety and depression symptoms in adolescents and adults with type 1 diabetes mellitus: a cross-sectional study

Knychala, Maria Aparecida; Jorge, Miguel Tanús; Muniz, Cinara Knychala; Faria, Priscila Neves; Jorge, Paulo

doi:10.1186/s13098-015-0020-9

Cited by 24 publications

(19 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various studies have documented that factors associated with depression among diabetes patients using the classical logistic regression. Risk factors were age [ 10 , 15 , 34 ], gender [ 14 , 15 , 35 – 38 ], marital status [ 15 , 35 , 37 , 39 ], educational status [ 34 , 37 , 40 ], hazardous drinking [ 38 , 39 ], medication adherence [ 13 , 39 ], duration lived with DM [ 9 , 14 , 35 ], fasting blood sugar [ 41 ], DM complication [ 10 , 12 , 14 , 36 , 37 ], chronic illness other than DM [ 14 , 34 ], and types of medication [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

Tusa

Alemayehu

Weldesenbet

et al. 2020

Depression Research and Treatment

View full text Add to dashboard Cite

Background. Depression is one of the most pressing public health problems and also highly prevalent comorbid condition among diabetes mellitus (DM) patients. Depression may impact lifestyle decisions and ability to poorly perform tasks which are risk factors for DM. For reducing the impact of depression among DM patients in developing countries, it is crucial to identify and assess associated risk factors of depression among DM patients, thereby designing effective management techniques. In line with this, the current study applies the Bayesian framework, which pools prior information and current data, to find factors associated with depression among DM patients. Methods. A hospital-based cross-sectional study was conducted at Adama Hospital and Medical College (AHMC) from March to April 2019. Data was entered into the Epi-data 3.1 then exported to the R software 3.4.4. Bayesian logistic regression models were fitted to the data using the Markov chain Monte Carlo (MCMC) algorithm. Estimates of model parameters including adjusted odds ratio (AOR) with 95% credible intervals (CI) were calculated. Results. A total of 359 adults with DM were included in the analysis. The prevalence of depression among diabetic patients was 9.22% (95% CI: 6.4% to 12.7%). Higher fasting blood sugar level ( AOR = − 1.012 ; HPD CI: (1.0020, 1.025)), having diabetic complication ( AOR = 0.1876 ; HPD CI: (0.0214, 0.671)), history of hospital admission ( AOR = 0.2865 ; HPD CI: (0.0711, 0.7318)), low medication adherence ( AOR = 29.29 ; HPD CI: (3.383, 92.26)), and taking both insulin and oral antidiabetic medication ( AOR = 24.46 ; HPD CI: (15.20, 49.37) were significantly and strongly associated with depression among DM patients. Conclusions. Prevalence of depression among diabetes patients in the catchment area of Adama Hospital, Ethiopia, was found to be very low. Higher fasting blood sugar level, diabetic complication, history of hospital admission, low medication adherence, and taking both insulin and oral antidiabetic medication were found to be strong predictors of prevalence of depression among DM patients. Based on the findings, we recommend that integrating screening and treating of depression, early detection and management of diabetic complication, and giving counseling to improve medication adherence is an effective approach for lowering the impact of depression on DM patients.

show abstract

Section: Discussionmentioning

confidence: 99%

Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

Tusa

Alemayehu

Weldesenbet

et al. 2020

Depression Research and Treatment

View full text Add to dashboard Cite

show abstract

“…Lloyd et al [ 44 ], using the same cut-off, found that 8% of the patients with diabetes scored above the cut-off for depression, thus in line with our study. Knychala et al [ 46 ] used the cut-off score of 8, and reported prevalence rates of 4.7% among males and 17.6% of females with diabetes. Given the lower cut-off, the higher prevalence rates compared to the previous two studies, can be expected.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of disturbed eating behavior and associated symptoms of anxiety and depression among adult males and females with type 1 diabetes

et al. 2018

View full text Add to dashboard Cite

BackgroundThe increased prevalence of disturbed eating behaviors (DEB), depression, and anxiety in type 1 diabetes (T1D) is generally well established; however the majority of existing research to date has focused on female adolescents and young adults. Data on males and older females is scarce. The aim of this study was to assess prevalence of DEB and symptoms of depression and anxiety among adult males and females with type 1 diabetes, to investigate differences between individuals scoring below and above the cut-off on psychopathology, and to examine patterns of eating disorder psychopathology by age and weight.MethodsA total of 282 adults with type 1 diabetes aged 18–79 years participated in the study. Measures included the Diabetes Eating Problem Survey – Revised (DEPS-R), the Hospital Anxiety and Depression Scale (HADS), and clinical data from the Norwegian Quality Improvement of Laboratory Examinations (NOKLUS) system.ResultsA total of 20.3% of the whole sample (13.3% among males and 24.8% among females) scored above the DEPS-R cut-off score for DEB. As for depression and anxiety, the prevalence in the whole sample was 6.2% and 19.0%, respectively. The prevalence was generally higher in females than males across all psychopathology measures. HbA1c was significantly associated with the DEPS-R total score (p < .01) among females, but not with depression and anxiety. Mean DEPS-R score decreased with increasing age, and when our previous reported data from children and adolescents are included, a peak prevalence in DEB in adolescence and young adult age is demonstrated.ConclusionsThe results of this study point to the need for increased awareness of psychological comorbidity among adults with type 1 diabetes, in particular young adult females. Screening is recommended to secure early detection and subsequent intervention for these individuals.

show abstract

“…High-risk alcohol use was found in 12.9% of 14-19-year old subjects with T1DM in Brazil. There was no significant gender difference among this age group, while higher rates of high-risk alcohol use were seen in older age groups with males having greater high-risk use than females (29). Emerging adults with T1DM should be counseled of effects of alcohol on glucose and risk for hypoglycemia unawareness and delayed hypoglycemia (30,31).…”

Section: Substance Usementioning

confidence: 90%

Transition of care for patients with type 1 diabetes mellitus from pediatric to adult health care systems

2017

View full text Add to dashboard Cite

Planning for the transition from pediatric to adult healthcare is broadly understood to be beneficial to the quality of care of patients with chronic illness. Due to the level of self-care that is necessary in the maintenance of most chronic diseases, it is important that pediatric settings can offer support during a time when adolescents are beginning to take more responsibility in all areas of their lives. Lack of supportive resources for adolescents with chronic conditions often results in both decreased access to care and impaired health and function likely leading to increased medical costs later. Additionally, fundamental differences in health care delivery exist between pediatric and adult care settings. There is limited empiric data and information on best practices in transition care. In this article we address the importance of bridging pediatric and adult care settings and highlight the challenges and successes of the implementation of the young adult transition clinic program for patients with type 1 diabetes at our facility. We provide recommendations for further research and program implementation with the transition population.

show abstract

High-risk alcohol use and anxiety and depression symptoms in adolescents and adults with type 1 diabetes mellitus: a cross-sectional study

Cited by 24 publications

References 59 publications

Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

Prevalence of disturbed eating behavior and associated symptoms of anxiety and depression among adult males and females with type 1 diabetes

Transition of care for patients with type 1 diabetes mellitus from pediatric to adult health care systems

Contact Info

Product

Resources

About