Posttraumatic stress disorder and diabetes-related outcomes in patients with type 1 diabetes

Lunkenheimer, Frederike; Eckert, Alexander J.; Hilgard, Dörte; Köth, D; Kulzer, Bernhard; Lück, Ursula; Lüdecke, Blanca; Müller, Antonia; Baumeister, Harald; Holl, Reinhard W.

doi:10.1038/s41598-023-28373-x

Cited by 5 publications

(4 citation statements)

References 60 publications

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“…diagnosis, severe hypoglycaemic events and iatrogenic trauma from healthcare services) and a negative association with diabetes outcomes. 38 Other psychological and neurocognitive issues can also present and affect diabetes self-management, including autism and severe mental illness (e.g. psychotic disorders, bipolar disorder), that can lead to chronic emotional dysregulation.…”

Section: Assessmentmentioning

confidence: 99%

“…Special attention to the risk of post‐traumatic stress disorder (PTSD) is needed, given the high potential for trauma in the context of diabetes (e.g. diagnosis, severe hypoglycaemic events and iatrogenic trauma from healthcare services) and a negative association with diabetes outcomes 38 . Other psychological and neurocognitive issues can also present and affect diabetes self‐management, including autism and severe mental illness (e.g.…”

Section: Competenciesmentioning

confidence: 99%

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Roles and competencies of the clinical psychologist in adult diabetes care—A consensus report

Snoek,

Anarte‐Ortiz,

Anderbro

et al. 2024

Diabet Med

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AimsPsychological care is recognised as an integral part of quality diabetes care. We set out to describe the roles and competencies of the clinical psychologist as a member of the multidisciplinary adult diabetes care team, focused on secondary care.MethodsThe authors are clinically experienced psychologists involved in adult diabetes care, from Australia, Europe and North America, and active members of the international psychosocial aspects of diabetes study group. Consensus was reached as a group on the roles and competencies of the clinical psychologist working in adult diabetes secondary care, building both on expert opinion and a selective review and discussion of the literature on psychological care in diabetes, clinical guidelines and competency frameworks.ResultsThe clinical psychologist fulfils multiple roles: (1) as a clinician (psychological assessment and therapy), (2) as advisor to the healthcare team (training, consulting), (3) as a communicator and promotor of person‐centred care initiatives and (4) as a researcher. Four competencies that are key to successfully fulfilling the above‐mentioned roles in a diabetes setting are as follows: (a) specialised knowledge, (b) teamwork and advice, (c) assessment, (d) psychotherapy (referred to as STAP framework).ConclusionsThe roles and competencies of clinical psychologists working in diabetes extend beyond the requirements of most university and post‐graduate curricula. There is a need for a comprehensive, accredited specialist post‐graduate training for clinical psychologists working in diabetes care, building on the proposed STAP framework. This calls for a collaborative effort involving diabetes organisations, clinical psychology societies and diabetes psychology interest groups.

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Section: Assessmentmentioning

confidence: 99%

Section: Competenciesmentioning

confidence: 99%

Roles and competencies of the clinical psychologist in adult diabetes care—A consensus report

Snoek,

Anarte‐Ortiz,

Anderbro

et al. 2024

Diabet Med

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“…Також ПТСР передбачає вищий ризик і цукрового діабету 2 типу (ЦД2) [19], а у пацієнтів із цукровим діабетом 1 типу (ЦД1) може мати негативний вплив на гострий рівень глюкози в крові та довгостроковий метаболічний контроль. У дорослих пацієнтів із ЦД1 коморбідний посттравматичний стресовий розлад асоціюється з тривалішою госпіталізацією [21].…”

Section: метаболічні порушенняunclassified

Medico-Biological and Socio-Economic Impact of Post-Traumatic Stress Disorder on the Population in the Conditions of Hostilities

Vasylevskyi,

Glagovych,

Liutianska

et al. 2023

Med. Sci. of Ukr.

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Background. Investigating the medical-biological and socio-economic impacts of PTSD on a country's population is essential, as PTSD can cause serious mental and somatic health issues, affect work capacity and overall quality of life, and have long-term consequences for veterans and survivors. Understanding and studying the causes and consequences of PTSD is crucial for developing effective prevention and treatment strategies and ensuring national security and sustainable development of the country. Aim: To analyze the medical-biological and socio-economic consequences of PTSD on veterans and the population as a whole. Materials and methods. A data analysis was conducted using information obtained from online database searches in "PubMed," "National Institute on Alcohol Abuse and Alcoholism," "ScienceDirect," and "Psychiatrist.com," with keywords such as "post-traumatic stress disorder," "civilian population," "military," "veterans," "comorbid conditions," "alcoholism," "drug addiction," "economic burden," "disability," "costs," "socio-economic status," "combat operations," and "support for survivors." Results. PTSD is a significant societal and economic challenge. Negative trends of these consequences are most acutely manifested in countries experiencing recent or ongoing military conflicts, where the dynamics of PTSD are increasing. Timely diagnosis and active public education are extremely important for preventing the development of chronic conditions and avoiding limitations on the functioning of survivors. Real-world practice demonstrates that support for individuals with PTSD often includes not only professional medical therapy but also assistance in employment, housing, and social adaptation. Conclusion. PTSD is a serious problem for veterans and civilian populations, requiring attention and support from the government and society. Further research and the development of effective treatment and support methods for people suffering from PTSD are needed to improve their quality of life and promote social integration.

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“…Type 2 diabetes (T2D) is a common condition that over time when left untreated can cause damage reaching various organs, including kidney, eye, and heart, to just name a few [1, 2]. Patients with diabetes incur an overall average medical expenditure more than two times that of those without diabetes.…”

Section: Introductionmentioning

confidence: 99%

A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks

Alghamdi,

Turki

2023

Preprint

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Rapid progress in single-cell technologies has contributed to the availability of biological experiments pertaining to gene regulatory networks (GRNs). Although inferring GRNs can unveil in-sights about cellular mechanisms and functions to understand disease pathogenesis, existing deep learning tools are far from perfect and not providing appropriate interpretation as a guideline to explain the superior performance in the target task. Therefore, we provide an interpretation approach for our presented deep transfer learning (DTL) models to overcome such drawbacks, working as follows. We utilize several pre-trained models including SEResNet152, and SEResNeXt101. Then, we transfer knowledge from pre-trained models via keeping the weights in the convolutional base (i.e., feature extraction part) while modifying the classification part with the use of Adam optimizer to deal with classifying healthy controls and type 2 diabetes single-cell gene regulatory network (SCGRN) images. Another DTL models work in a similar manner but just with keeping weights of the bottom layers in the feature extraction unaltered while updating weights of consecutive layers through training from scratch. Experimental results on the whole 224 SCGRN images using 5-fold cross-validation show that our model (TFeSEResNeXT101) achieving the highest average balanced accuracy (BAC) of 0.97 and thereby significantly outperforming the baseline that resulted in an average BAC of 0.86. Moreover, the simulation study demonstrated that the superiority is attributed to the distributional conformance of model weight parameters obtained with Adam optimizer when coupled with weights from a pre-trained model.

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Posttraumatic stress disorder and diabetes-related outcomes in patients with type 1 diabetes

Cited by 5 publications

References 60 publications

Roles and competencies of the clinical psychologist in adult diabetes care—A consensus report

Roles and competencies of the clinical psychologist in adult diabetes care—A consensus report

Medico-Biological and Socio-Economic Impact of Post-Traumatic Stress Disorder on the Population in the Conditions of Hostilities

A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks

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