Precision Subclassification of Mental Health in Diabetes: Digital Twins for Precision Mental Health to Track Subgroups
TwinPeaks
1 other identifier
observational
1,809
1 country
3
Brief Summary
Mental conditions and disorders (e.g. distress, depressive, anxiety, and eating disorders) are more prevalent in people with diabetes (PWD) and associated with reduced quality of life and impaired glycaemic outcomes. Evidence supports a complex network between psychosocial factors and glycaemic control that can be highly variable between persons. It is assumed that subgroups exist that show different trajectories of glycaemia and mental health. Belonging to a particular subgroup may be linked with a higher risk of developing mental health problems compared to others. This suggests that it is possible to treat individuals in different subgroups in a manner that optimizes their treatment and can improve health outcomes. Accurate characterisation can inform more individualized care. This calls for a more personalised approach considering the idiosyncrasies of different subgroups. Over 3 years, the investigators have established the basis of a precision mental health approach for diabetes using n-of-1 analyses. By utilizing combined ecological momentary assessment (EMA: repeated daily sampling of psychosocial factors in everyday life) and continuous glucose monitoring (CGM), intensive longitudinal data per person could be collected. This enables the analysis of individual associations between glycaemic parameters and psychosocial variables and identification of individual sources of diabetes distress in each person. The objective of the present study is to use of the n-of-1 approach to identify subgroups of PWD who share common characteristics in the associations between glucose and psychosocial variables. The identified subgroups shall be used to develop a digital twin for precision mental health in diabetes. The digital twin serves as representation of a real person, allowing to make simulations and predictions of the course of mental health and glycaemia. These predictions can inform diabetes care and lead to more precise, personalised treatment decisions. To achieve this, a longitudinal panel including over 1,400 PWD who continuously complete EMA and questionnaire surveys and measure glucose levels using CGM was developed. Over 1000 clinical interviews to diagnose mental disorders have been conducted to identify major mental health conditions and map mental outcomes. To identify subgroups and develop the digital twin, the sampling will be expanded aiming at a total of 1,809 PWD. Incidence and remission of mental disorders will be determined via repeated interviews. The complex networks between clinical, metabolic, and psychosocial data will be analysed using machine learning, leading to new insights with the potential to shape future guidelines. These results will be used by the digital twin to predict courses of glycaemic control and mental health, translating the individual evidence into direct treatment suggestions.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2025
Typical duration for all trials
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2025
CompletedFirst Submitted
Initial submission to the registry
October 1, 2025
CompletedFirst Posted
Study publicly available on registry
October 8, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2027
December 4, 2025
November 1, 2025
2.7 years
October 1, 2025
November 27, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (13)
Incidence of affective disorders from baseline to follow-up (per structured diagnostic interview)
Diagnoses of affective disorders were assessed at baseline (as part of the PRO-MENTAL study) using the corresponding section of the Brief Diagnostic Interview for Mental Disorders (Mini-DIPS OA, improved version). The PRO-MENTAL cohort is followed up in the TwinPeaks study including a re-assessment of affective disorders using the Mini-DIPS OA at 2-year follow-up. Primary outcome is the 2-year incidence of affective disorders as per structured diagnostic interview.
Baseline, 2-year Follow-up
Incidence of anxiety disorders from baseline to follow-up (per structured diagnostic interview)
Diagnoses of anxiety disorders were assessed at baseline (as part of the PRO-MENTAL study) using the corresponding section of the Brief Diagnostic Interview for Mental Disorders (Mini-DIPS OA, improved version). The PRO-MENTAL cohort is followed up in the TwinPeaks study including a re-assessment of anxiety disorders using the Mini-DIPS OA at 2-year follow-up. Primary outcome is the 2-year incidence of anxiety disorders as per structured diagnostic interview.
Baseline, 2-year Follow-up
Incidence of eating disorders at from baseline to follow-up (per structured diagnostic interview)
Diagnoses of eating disorders were assessed at baseline (as part of the PRO-MENTAL study) using the corresponding section of the Brief Diagnostic Interview for Mental Disorders (Mini-DIPS OA, improved version). The PRO-MENTAL cohort is followed up in the TwinPeaks study including a re-assessment of eating disorders using the Mini-DIPS OA at 2-year follow-up. Primary outcome is the 2-year incidence of eating disorders as per structured diagnostic interview.
Baseline, 2-year Follow-up
Depressive symptoms: Incidence at 2-year Follow-up
Depressive symptoms are assessed with the Patient Health Questionnaire-9 (PHQ-9) at baseline, 12 months, and 24 months. PHQ-9 sum score range: 0 - 27; higher scores indicate higher depressive symptoms; scores of 10 and above are considered as elevated depressive symptoms. The incidence of depressive symptoms at 2-year follow-up compared to baseline (for persons without depressive symptoms at baseline) is a secondary outcome.
Baseline, 2-year Follow-up
Depressive symptoms: Remission at 2-year Follow-up
Depressive symptoms are assessed with the Patient Health Questionnaire-9 (PHQ-9) at baseline, 12 months, and 24 months. PHQ-9 sum score range: 0 - 27; higher scores indicate higher depressive symptoms; scores of 10 and above are considered as elevated depressive symptoms. The remission of depressive symptoms at 2-year follow-up compared to baseline (for persons with elevated depressive symptoms at baseline) is a secondary outcome.
Baseline, 2-year Follow-up
Anxiety symptoms: Incidence at 2-year Follow-up
Anxiety symptoms are assessed with the Generalized Anxiety Disorders-7 (GAD-7) Questionnaire at baseline, 12 months, and 24 months. GAD-7 sum score range: 0 - 21; higher scores indicate higher anxiety symptoms; scores of 10 and above are considered as elevated anxiety symptoms. The incidence of anxiety symptoms at 2-year follow-up compared to baseline (for persons without anxiety symptoms at baseline) is a secondary outcome.
Baseline, 2-year Follow-up
Anxiety symptoms: Remission at 2-year Follow-up
Anxiety symptoms are assessed with the Generalized Anxiety Disorders-7 (GAD-7) Questionnaire at baseline, 12 months, and 24 months. GAD-7 sum score range: 0 - 21; higher scores indicate higher anxiety symptoms; scores of 10 and above are considered as elevated anxiety symptoms. The remission of anxiety symptoms at 2-year follow-up compared to baseline (for persons with elevated anxiety symptoms at baseline) is a secondary outcome.
Baseline, 2-year Follow-up
Disordered eating behaviour: Incidence at 2-year Follow-up
Disordered eating behaviours are assessed with the Diabetes Eating Problems Survey-Revised (DEPS-R/DEPS-10) at baseline, 12 months, and 24 months. DEPS-R sum score range: 0 - 80; higher scores indicate more diabetes-related eating problems; scores of 20 and above are considered to indicate disordered eating. The incidence of disordered eating behaviours at 2-year follow-up compared to baseline (for persons without disordered eating at baseline) is a secondary outcome.
Baseline, 2-year Follow-up
Disordered eating behaviour: Remission at 2-year Follow-up
Disordered eating behaviours are assessed with the Diabetes Eating Problems Survey-Revised (DEPS-R/DEPS-10) at baseline, 12 months, and 24 months. DEPS-R sum score range: 0 - 80; higher scores indicate more diabetes-related eating problems; scores of 20 and above are considered to indicate disordered eating. The remission of disordered eating behaviours at 2-year follow-up compared to baseline (for persons with disordered eating at baseline) is a secondary outcome.
Baseline, 2-year Follow-up
General diabetes distress over time
General diabetes distress is assessed with the Problem Areas in Diabetes Scale (PAID) at baseline, 6-month FU, 12-month FU, 18-month FU, and 24-month FU to detect changes in diabetes distress from baseline to 2-year FU. PAID total score range: 0 - 100; higher scores indicate higher diabetes distress; scores of 40 and above are considered to indicate elevated diabetes distress.
Baseline, 2-year Follow-Up
Daily diabetes distress over time
Daily diabetes distress is assessed at baseline, 6-month FU, 12-month FU, 18-month FU, and 24-month FU over each 14 consecutive days using smartphone-based ecological momentary assessment with selected items from the Problem Areas in Diabetes Scale (PAID) adapted for daily assessment (rated on an 11-point scale from 0 - 10; higher values indicate higher mental burden) to detect changes in daily burdens from baseline to 24-month FU. A 10-item sum score ranges from 0 - 100 with higher values indicating higher daily distress.
Baseline, 2-year Follow-Up
Glycated hemoglobin (HbA1c) over time
HbA1c (glycated hemoglobin), a laboratory measure of average blood glucose over the past 8 to 12 weeks, is estimated/collected at baseline, 6-month FU, 12-month FU, 18-month FU, and 24-month FU from the participants to detect changes for glycated hemoglobin from baseline to 2-year FU.
Baseline, 2-year Follow-up
Glycemic levels (CGM glucose) over time
Automatically recorded daily glucose values are obtained from participants where continuous glucose monitoring (CGM) devices are used. Available glucose data are extracted at baseline, 6-month FU, 12-month FU, 18-month FU, and 24-month FU for each over 14 consecutive days of CGM measurement - parallel to the daily EMA - to detect changes in glucose levels from baseline to 2-year FU.
Baseline, 2-year Follow-Up
Secondary Outcomes (6)
Subjective health state over time
Baseline, 2-year Follow-up
Wellbeing over time
Baseline, 2-year Follow-up
General sleep quality over time
Baseline, 2-year Follow-up
Daily sleep quality over time
Baseline, 2-year Follow-up
Fear of diabetes complications over time
Baseline, 2-year Follow-up
- +1 more secondary outcomes
Study Arms (1)
Patients with Diabetes
The subgroups of patients with type 1 diabetes versus type 2 diabetes may be analysed in individual analyses
Eligibility Criteria
The study participants are enrolled from the population of people with diabetes treated at several specialised diabetes centres in South Germany. Including the Diabetes Clinic Mergentheim (DCM), Diabetes Practice Mergentheim, DiaMedicum Center Würzburg.
You may qualify if:
- to 80 years of age
- Diagnosis of type 1 diabetes or type 2 diabetes or other specific type of diabetes
- Diabetes duration ≥ 1 year
- Sufficient German language skills
- Informed consent
You may not qualify if:
- Inability to consent
- Significant cognitive impairment (e.g. dementia)
- Severe disorder or condition impacting the person's ability to participate in the study or likely to confound results (e.g. treated cancer, heart disease ≥ NYHA III, schizophrenia/psychotic disorder)
- Terminal illness
- Being bedridden
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (3)
Diabetes Clinic Mergentheim (DCM)
Bad Mergentheim, Baden-Wurttemberg, 97980, Germany
MVZ Diabetespraxis Mergentheim
Bad Mergentheim, Baden-Wurttemberg, 97980, Germany
MVZ DiaMedicum Würzburg
Würzburg, Baden-Wurttemberg, 97072, Germany
Related Publications (19)
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PMID: 24488082BACKGROUNDKremers SHM, Wild SH, Elders PJM, Beulens JWJ, Campbell DJT, Pouwer F, Lindekilde N, de Wit M, Lloyd C, Rutters F. The role of mental disorders in precision medicine for diabetes: a narrative review. Diabetologia. 2022 Nov;65(11):1895-1906. doi: 10.1007/s00125-022-05738-x. Epub 2022 Jun 22.
PMID: 35729420BACKGROUNDSnoek FJ, Bremmer MA, Hermanns N. Constructs of depression and distress in diabetes: time for an appraisal. Lancet Diabetes Endocrinol. 2015 Jun;3(6):450-460. doi: 10.1016/S2213-8587(15)00135-7. Epub 2015 May 17.
PMID: 25995123BACKGROUNDChung WK, Erion K, Florez JC, Hattersley AT, Hivert MF, Lee CG, McCarthy MI, Nolan JJ, Norris JM, Pearson ER, Philipson L, McElvaine AT, Cefalu WT, Rich SS, Franks PW. Precision medicine in diabetes: a Consensus Report from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetologia. 2020 Sep;63(9):1671-1693. doi: 10.1007/s00125-020-05181-w.
PMID: 32556613BACKGROUNDHermanns N, Ehrmann D, Shapira A, Kulzer B, Schmitt A, Laffel L. Coordination of glucose monitoring, self-care behaviour and mental health: achieving precision monitoring in diabetes. Diabetologia. 2022 Nov;65(11):1883-1894. doi: 10.1007/s00125-022-05685-7. Epub 2022 Apr 5.
PMID: 35380233BACKGROUNDEhrmann D, Priesterroth L, Schmitt A, Kulzer B, Hermanns N. Associations of Time in Range and Other Continuous Glucose Monitoring-Derived Metrics With Well-Being and Patient-Reported Outcomes: Overview and Trends. Diabetes Spectr. 2021 May;34(2):149-155. doi: 10.2337/ds20-0096. Epub 2021 May 25.
PMID: 34149255BACKGROUNDEhrmann D, Schmitt A, Priesterroth L, Kulzer B, Haak T, Hermanns N. Time With Diabetes Distress and Glycemia-Specific Distress: New Patient-Reported Outcome Measures for the Psychosocial Burden of Diabetes Using Ecological Momentary Assessment in an Observational Study. Diabetes Care. 2022 Jul 7;45(7):1522-1531. doi: 10.2337/dc21-2339.
PMID: 35613338BACKGROUNDEhrmann D, Hermanns N, Schmitt A, Klinker L, Haak T, Kulzer B. Perceived glucose levels matter more than CGM-based data in predicting diabetes distress in type 1 or type 2 diabetes: a precision mental health approach using n-of-1 analyses. Diabetologia. 2024 Nov;67(11):2433-2445. doi: 10.1007/s00125-024-06239-9. Epub 2024 Jul 30.
PMID: 39078490BACKGROUNDCappon G, Facchinetti A. Digital Twins in Type 1 Diabetes: A Systematic Review. J Diabetes Sci Technol. 2025 Nov;19(6):1641-1649. doi: 10.1177/19322968241262112. Epub 2024 Jun 17.
PMID: 38887022BACKGROUNDMosquera-Lopez C, Jacobs PG. Digital twins and artificial intelligence in metabolic disease research. Trends Endocrinol Metab. 2024 Jun;35(6):549-557. doi: 10.1016/j.tem.2024.04.019. Epub 2024 May 13.
PMID: 38744606BACKGROUNDChu Y, Li S, Tang J, Wu H. The potential of the Medical Digital Twin in diabetes management: a review. Front Med (Lausanne). 2023 Jul 20;10:1178912. doi: 10.3389/fmed.2023.1178912. eCollection 2023.
PMID: 37547605BACKGROUNDSchmitt A, Klinker L, Ehrmann E, Kulzer B, Pryss R, Kruse J, Hermanns N. PRO-MENTAL: Präzisionsmedizinansatz zur mentalen Gesundheit für Menschen mit Diabetes - Subtypen und Verläufe psychischer Gesundheit und Glukose bei Typ-1- und Typ-2-Diabetes. Diabetologie 2024;20:861-872. doi: 10.1007/s11428-024-01213-w
BACKGROUNDSkinner TC, Joensen L, Parkin T. Twenty-five years of diabetes distress research. Diabet Med. 2020 Mar;37(3):393-400. doi: 10.1111/dme.14157. Epub 2019 Oct 31.
PMID: 31638279BACKGROUNDSpeight J, Holmes-Truscott E, Hendrieckx C, Skovlund S, Cooke D. Assessing the impact of diabetes on quality of life: what have the past 25 years taught us? Diabet Med. 2020 Mar;37(3):483-492. doi: 10.1111/dme.14196. Epub 2020 Feb 4.
PMID: 31797443BACKGROUNDNefs GM, Bazelmans E, Donga E, Tack CJ, de Galan BE. Sweet dreams or bitter nightmare: a narrative review of 25 years of research on the role of sleep in diabetes and the contributions of behavioural science. Diabet Med. 2020 Mar;37(3):418-426. doi: 10.1111/dme.14211. Epub 2019 Dec 27.
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BACKGROUNDElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Young-Hyman D, Gabbay RA, on behalf of the American Diabetes Association. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2023. Diabetes Care. 2023 Jan 1;46(Supple 1):S68-S96. doi: 10.2337/dc23-S005.
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BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Prof. Dr. / PhD
Study Record Dates
First Submitted
October 1, 2025
First Posted
October 8, 2025
Study Start
January 1, 2025
Primary Completion (Estimated)
August 31, 2027
Study Completion (Estimated)
December 31, 2027
Last Updated
December 4, 2025
Record last verified: 2025-11