Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Advertisement
Scientific Reports volume 13, Article number: 1556 (2023)
1 Altmetric
Metrics details
Mental comorbidities in patients with type 1 diabetes mellitus (T1D) are common, and can have a negative impact on acute blood glucose levels and long-term metabolic control. Information on the association of T1D and comorbid posttraumatic stress disorder (PTSD) with diabetes-related outcomes is limited. The aim was to examine the associations between a clinical diagnosis of PTSD and diabetes-related outcomes in patients with T1D. Patients with T1D and comorbid documented PTSD from the DPV database (n = 179) were compared to a group with T1D without PTSD (n = 895), and compared to a group with T1D without comorbid mental disorder (n = 895) by matching demographics (age, gender, duration of diabetes, therapy and migration background) 1:5. Clinical diabetes-related outcomes {body mass index (BMI), hemoglobin A1c (hbA1c), daily insulin dose, diabetic ketoacidosis (DKA), hypoglycemia, number of hospital admissions, number of hospital days} were analyzed, stratified by age groups (≤ 25 years vs. > 25 years). Patients with comorbid PTSD aged ≤ 25 years compared with patients without PTSD or patients without mental disorders had significantly higher HbA1c (8.71 vs. 8.30 or 8.24%), higher number of hospital admissions (0.94 vs. 0.44 or 0.32 per year) and higher rates of DKA (0.10 vs. 0.02 or 0.01 events/year). Patients with comorbid PTSD aged ≤ 25 years compared with patients without PTSD had significantly higher BMI (0.85 vs. 0.59) and longer hospital stays (15.89 vs.11.58 days) than patients without PTSD. Patients with PTSD > 25 years compared with patients without PTSD or without any mental comorbidities had significantly fewer hospital admissions (0.49 vs. 0.77 or 0.69), but a longer hospital length of stay (20.35 vs. 11.58 or 1.09 days). We found that PTSD in younger patients with T1D is significantly related to diabetes outcome. In adult patients with T1D, comorbid PTSD is associated with fewer, but longer hospitalizations. Awareness of PTSD in the care of patients with T1D should be raised and psychological intervention should be provided when necessary.
Over 14% of people with type 1 diabetes (T1D) have a comorbid mental disorder, such as anxiety, eating, mood, personality and behavior disorder. This is twice the number compared to controls without T1D1. Most studies focused on common comorbid mental disorders particularly depression and anxiety1,2 with only limited information on the association between T1D and posttraumatic stress disorder (PTSD).
According to the DSM-53, PTSD is a trauma- and stressor-related disorder caused by a traumatic event and is defined by four characteristic symptom domains including persistent re-experience, avoidance, negative mood and cognitions, and hyperarousal, causing clinically significant distress and/or functional impairment. Results from the World Mental Health Surveys4 indicate a point prevalence of PTSD in the general population of 1.4%. Studies on pediatric populations reported prevalence rates of PTSD or clinically relevant posttraumatic stress symptoms (PTSS) in patients with T1D from 5 to 19%5,6. Among adults with T1D, the prevalence rate for PTSD regardless of trauma type is 0.5%2 and for PTSS when considering hypoglycemic episode as a potentially traumatic event is 25%7. The prevalence rates in patients with T1D and comorbid PTSD or PTSS compared to the general population, indicate an increased rate of comorbidity in T1D. However, there is little research on people with T1D and PTSD, as studies predominantly focused on type 2 diabetes (T2D) or other chronic somatic diseases and comorbid PTSS or PTSD (e.g. Arigo et al.8).
T1D and PTSD can have reciprocal effects. T1D is a chronic condition and, considering the aversive experience of diagnosis and medical treatment, could be experienced as a traumatic event and thus be the trigger for PTSD3. On the other hand, people with PTSD may have metabolic and neuroendocrine dysfunction as well as alterations in inflammatory pathways, which may not be found in people without PTSD9,10,11. In addition to a pathophysiology, PTSD is associated with poorer health behavior, which may be risk factors for developing CD and may negatively affect CD outcome12,13,14,15,16. For example, in addition to challenges of T1D in children, adolescents and young adults (CAYA), mental comorbidities such as depressive symptoms and anxiety disorders lead to additional difficulties that can overwhelm daily medical care and manifest in poor diabetes-related outcomes, such as worse glycemic control (higher HbA1c levels) and more frequent diabetic ketoacidosis (DKA), compared to CAYA with T1D without mental comorbidities17,18,19. In adulthood, study results are heterogeneous. Van Bastelaar et al. study results show that comorbidity of mental disorders in adults with diabetes (T1D and T2D) is also associated with poor treatment adherence, poor glycemic control (elevated HbA1c levels), increased emergency admissions for DKA and more frequent hospitalizations20. On the other hand, Subasinghe et al. could not find an association between a comorbid mental disorder such as a mood disorder in adults with T1D and worse diabetes-related outcomes21. The psychological distress induced by a mental comorbidity could negatively affect acute glucose levels and long-term metabolic control, and impair the patient’s ability to engage in healthy self-care behaviors22,23. The special characteristic of PTSD compared to other mental diseases is its ascertainable etiology3,24. Especially if PTSD is triggered by a medical event related to T1D, it can negatively impact medication and treatment adherence. Treatment for T1D may serve as an aversive reminder, which in turn may increase avoidance behavior characteristic of PTSD25,26,27. Information on the association of patients with T1D and comorbid PTSD with diabetes-related outcomes is limited.
The aim of this study was to examine the association between PTSD and relevant diabetes-related outcomes in people with T1D and comorbid PTSD compared to a matched control group with T1D without PTSD and compared to another matched control group with T1D without mental disorder. In addition, we investigated whether there is a difference in diabetes-related outcomes by age group.
The German diabetes follow-up registry (Diabetes-Patienten-Verlaufsdokumentation, DPV), which is a standardized electronic health record developed at the Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm University, Germany, collects data from patients with all types of diabetes. The approval of the Ethics Committee of the University of Ulm for data collection and analysis of anonymized data was obtained (approval number: 202/09). Patient data come from a total of 511 centers. Of these, 463 are from Germany, 46 from Austria, four from Switzerland and one from Luxembourg. Data collection started in 1995 and data until April 2022 were included into this analysis.
Migration background was defined as the patient or at least one parent born outside a country of the DPV centers (Germany, Austria, Switzerland, or Luxembourg). Body mass index (BMI) was reported in the group ≤ 25 years based on reference values from Arbeitsgemeinschaft Adipositas im Kindes- und Jugendalter (AGA) using Cole’s LMS method28,29. Hemoglobin A1c (HbA1c) values were transformed by the “multiple of the mean” method (MOM) to the Diabetes Control and Complications Trial (DCCT) reference range of 4.05–6.05% (20.7–42.6 mmol/mol)30. Diabetic ketoacidosis (DKA) was defined as pH < 7.3 and/or bicarbonate < 15 mmol/mol according to the guidelines of International Society for Pediatric and Adolescent Diabetes (ISPAD)31. Severe hypoglycemic events were defined as hypoglycemic situations in which the patients required assistance from other persons and severe hypoglycemia with coma was defined by unconsciousness or convulsion. Patients included in the DPV initiative were enrolled in this study if they had a clinical diagnosis of T1D. All patients with T1D at all ages were further divided into groups for analysis. Patients were assigned to the T1D + PTSD group if the terms “posttraumatic stress disorder”, “PTSD” or codes of International Classification of Diseases—Tenth Edition (ICD-10) “F43.1” or Diagnostic and Statistical Manual of Mental Disorders—Fifth Edition (DSM-V) “309.81” were documented at least once during the clinical course of the patients. Patients with T1D and other comorbid mental health diagnoses documented in addition to PTSD were not excluded from the T1D + PTSD group. The criterion for the T1D + PTSD group was thus a PTSD diagnosis, regardless of whether other mental health comorbidities were present or not. Patients with T1D who had no documentation of PTSD formed the T1D-no-PTSD group, regardless of whether another mental disorder was present or not. Patients with T1D who had no documentation of PTSD and no evidence of any other mental disorder (depression, anxiety/compulsive disorder, attention and activity disorder, eating disorder, borderline personality disorder, schizophrenia, autism, suicidality and non-suicidal self-injury behavior) formed the T1D-only group. Data of demographic and diabetes-related outcomes were aggregated for the most recent treatment year per patient.
All statistical analyses were generated using SAS (Statistical Analysis Software, SAS Institute Inc., Cary, NC, USA) Version 9.4 build TS1M7 on a Windows server 2019 mainframe. Demographic data and diabetes-related outcomes were analyzed descriptively. Results were presented as median with lower (Q1) and upper quartiles (Q3) or as proportion. Due to the data distribution, non-parametric tests were used for group comparison. The Kruskal–Wallis test was used for continuous variables and the χ2-test for binary variables.
To describe demographic and diabetes-related outcomes between the T1D + PTSD group and the T1D-no-PTSD group as well as to the T1D-only group the variables gender, migration background, age in years, height in cm, BMI, age at diabetes onset, diabetes duration, type of insulin treatment (injection vs. pump therapy), continuous glucose measurement (CGM; ≥ 1 day), HbA1c (in % and mmol/mol), daily insulin dose (U/kg body weight) were analyzed. The following additional mental comorbidities were compared between the T1D + PTSD group and the T1D-no-PTSD group: depression, anxiety/obsessive–compulsive disorder, attention and activity disorder, eating disorder, borderline personality disorder, and suicidality. Anorexia nervosa, bulimia nervosa, binge eating and eating disorder not otherwise specified were subsumed under the term ´eating disorders`. All mental disorders were defined as documented diagnosis in DPV according to DSM-5 and ICD-10 codes.
Patients with T1D and comorbid PTSD were matched 1:5 {variables: age (continuously and in groups: ≤ 25; > 25 years), gender, diabetes duration (continuously and in groups: ≤ 2; 2–5; > 5–10; > 10–20; > 20 years), type of insulin treatment (injection vs. pump therapy), migration background} with patients of the T1D-no-PTSD group. Equally, patients with T1D and comorbid PTSD were matched in the same ratio with the same variables with patients in the T1D-only group. Matching was conducted (greedy-matching algorithm) with a caliper width of 0.2. Standardized differences were assessed before and after matching to evaluate balancing of covariates between the matched cohorts. For age groups ≤ 25 and > 25 and the variable gender, we used exact matching to ensure that all patients belonged to the respective group.
We compared the T1D + PTSD and the matched T1D-no-PTSD group, but also the T1D + PTSD with the matched T1D-only group regarding the variables BMI-SDS (AGA), HbA1c and daily insulin dose. For the number of hospital days (per patient-year), the hospital admissions (per patient-year), the rate of DKA (per patient-year) and the rate of severe hypoglycemia (per person-year) with or without coma we assumed a negative binomial distribution. All analyses were performed separately for each of the age groups ≤ 25 and > 25 years, since the definition of adolescence up to the age of 24 years corresponds to the current growth patterns of adolescents and the general understanding of this phase of life32. Statistical significance was assumed for p value < 0.05 (two-tailed) (Supplementary Information).
A total of 644,720 patients were documented in the DPV registry, of whom 152,265 were classified as T1D. 179 patients with documented comorbid PTSD (with or without other mental health comorbidities) in addition to T1D formed the T1D + PTSD group. 152,086 patients, without documented PTSD (with or without other mental health comorbidities) formed the T1D-no-PTSD group. This T1D-no-PTSD group consists of all remaining T1D patients who have not documented a PTSD diagnosis. 139,690 patients had no documentation of any comorbid mental disease and therefore also no PTSD, these patients represent the T1D-only group (Fig. 1).
Selection of study population and group information. Flow chart. T1D type 1 diabetes, DPV diabetes prospective follow-up, PTSD posttraumatic stress disorder, T1D-no-PTSD patients with T1D, with or without other mental comorbidities, not including PTSD, T1D + PTSD T1D patients with PTSD, with or without other mental comorbidities, T1D-only T1D patients without mental comorbidities, no PTSD.
Compared to the T1D-no-PTSD group, patients with T1D and comorbid PTSD were significantly more often diagnosed with other concomitant mental disorders (depression, anxiety/obsessive–compulsive disorder, attention and activity disorder, eating disorder, borderline personality disorder, and suicidality) (Table 1 and illustrated in Fig. 2).
Mental comorbidities of patients with T1D and comorbid PTSD, compared to patients with T1D and no comorbid PTSD. All data are presented in percentage [%]. T1D type 1 diabetes, PTSD posttraumatic stress disorder, T1D + PTSD patients with T1D and posttraumatic stress disorder, T1D-no-PTSD patients with or without other mental comorbidities, not including PTSD; **significant (p < 0.01); ***significant (p < 0.001).
In the T1D-no-PTSD group of patients ≤ 25 years before matching (n = 97,232), the distribution between men (53%) and women (47%) was balanced, while in the T1D + PTSD group of the same age group (n = 88), there were significantly more women (69%). Patients in the T1D + PTSD group were significantly older, had a higher BMI-SDS, and higher HbA1c (Table 2). Among patients > 25 years of age, 53% of the T1D-no-PTSD group (n = 54,854) were male. In the T1D + PTSD (n = 91) group were significantly more women (72%) then men. Patients in the T1D + PTSD group had a higher percentage of CGM (Table 2). In the T1D-only group of patients ≤ 25 years before matching (n = 89,819), the distribution between men (53%) and women (47%) was balanced. Patients in the T1D + PTSD group were significantly more women, older, had a longer duration of diabetes, a higher BMI-SDS, and higher HbA1c (Table 3). Among patients > 25 years of age, 54% of the T1D-only group (n = 49,871) were male. In the T1D + PTSD (n = 91) group were significantly more women (71%) then men (Table 3).
The T1D control group and the T1D-no-PTSD group, stratified by age group, were matched 5:1 with the 179 patients who have comorbid PTSD documentation in addition to T1D. For each patient in the T1D + PTSD group, a matching partner from the T1D-no-PTSD and the T1D-only group was found and thus all patients in the T1D + PTSD group could be included in the further analysis even after matching. The standardized mean difference (SMD) of the general propensity score was SMD = 0.78 for T1D + PTSD/T1D-no-PTSD and SMD = 0.79 for T1D + PTSD/T1D-only before matching and SMD = 0.00 for both after matching. For detailed information on the data before and after matching, see Tables 2 and 3. The final sample is 1074 patients with whom the group comparisons were calculated.
The group comparison showed that patients in the T1D + PTSD group aged ≤ 25 years had significantly higher HbA1c {8.71 (T1D + PTSD) vs. 8.30 (T1D-no-PTSD); p ≤ 0.046; 8.71 (T1D + PTSD) vs. 8.24 (T1D-only); p ≤ 0.013}, more hospital admissions (0.93 vs. 0.44 per patient-year; p < 0.001; 0.93 vs. 0.32; p < 0.001) and higher rates of DKA (0.10 vs. 0.02 events/patient-year; p ≤ 0.001; 0.10 vs. 0.01 events/patient-year; p ≤ 0.001) than patients in the T1D-no-PTSD or T1D-only group. Patients in the T1D + PTSD group additionally had significantly higher numbers of hospital admissions due to DKA (0.36 vs. 0.08 per patient-year; p < 0.001; 0.36 vs. 0.05 per patient-year; p < 0.001), but also not due to DKA (0.61 vs. 0.37 per patient-year; p = 0.003; 0.61 vs. 0.28 per patient-year; p < 0.001), than patients in the T1D-no-PTSD or T1D-only group. The significantly higher rates of DKA in the T1D + PTSD group compared to the T1D-no-PTSD or T1D-only group remained after adjustment for overweight yes/no, defined as BMI ≥ 25 or BMI-SDS ≥ 1.28 (0.11 vs. 0.02 per year; p < 0.001; 0.11 vs. 0.01 per year; p < 0.001). Patients in T1D + PTSD group had significantly higher BMI (0.85 vs. 0.59; p = 0.046) and a longer hospital stay for inpatient admissions (15.89 vs. 11.58; p = 0.048), than patients in the T1D-no-PTSD group, but not in the T1D-only group (Table 4).
Patients in the T1D + PTSD group over 25 years had significantly fewer hospital admissions {0.47 (T1D + PTSD) vs. 0.77 (T1D-no-PTSD) per patient-year; p = 0.003; 0.47 (T1D + PTSD) vs. 0.69 (T1D-only} per patient-year; p < 0.015), but longer hospital stay for inpatient admissions (20.35 vs. 11.86 days; p < 0.001; 20.35 vs. 11.09 days; p < 0.001) than patients in the T1D-no-PTSD or T1D-only group. This was only true for hospital admissions not due to DKA (0.44 vs. 0.71 per person-year; p = 0.004; 0.44 vs. 0.64 per person-year; p = 0.019) in the T1D + PTSD group compared with patients in the T1D-no-PTSD or T1D-only group. The remaining diabetes-related outcomes showed no significant differences between T1D + PTSD and T1D-no-PTSD or T1D-only group in both age groups (Table 4).
To our knowledge, there has been no study to date that has examined multiple diabetes-related outcomes in patients with T1D and comorbid PTSD compared to patients with T1D without PTSD and to patients with T1D without other comorbid mental disorder across the lifespan (but focusing on different age groups). The study results showed that comorbid PTSD was associated with worse diabetes-related outcomes such as DKA, HbA1c and with higher number of hospital admissions in patients with T1D aged 25 years or younger compared to patients with T1D without PTSD or without a comorbid mental disorder. In addition, CAYA with T1D and comorbid PTSD were found to have higher BMI and longer hospital stays compared to CAYA with T1D without PTSD. These results, which highlight the negative association between PTSD diagnosis and diabetes-related outcomes, clearly show how relevant PTSD is in clinical practice for the disease progression of young patients with T1D and that awareness should be raised.
The demographic findings that more women with T1D were in the sample with comorbid PTSD confirms epidemiologic evidence that women are significantly more likely to be affected by PTSD than men (2–3:1)33. Reasons for this, besides personal, social and cultural factors, include the fact that women experience more severe trauma (e.g. sexual trauma) than men, and at a younger age. Trauma at a young age has a higher impact, especially if it is a type II trauma (complex trauma such as abuse or torture)33,34. The gender differences in the development of PTSD are due to the stronger perception of threat and loss of control in women during trauma, a higher level of peri-traumatic dissociation, the sex-specific acute psychobiological reactions to trauma and the more emotion-oriented, defensive and palliative coping style to deal with trauma-related symptoms compared to men33,34. In summary, female patients with T1D are a particularly vulnerable group for comorbid PTSD. Since studies have shown that women benefit more from psychotherapy than men in reducing PTSD33, increased attention to this at-risk group, psychosocial diagnostics and referral to psychotherapeutic treatment when necessary may be promising in reducing this comorbidity. In the DPV documentation, patients with T1D and comorbid PTSD had significantly more mental comorbidities than all other patients with T1D. This result is also reflected in the frequency distribution of the general population. Although mental disorders are common, severe cases are often concentrated in a small proportion with multiple mental comorbidities35.
Patients with T1D older than 25 years with comorbid PTSD showed less hospital admissions, but a longer inpatient hospital stay than patients with T1D without PTSD or without a comorbid mental disorder. The type of institution might be a reason for the longer inpatient hospital stay not due to DKA for patients with T1D and comorbid PTSD compared to patients with T1D without PTSD or without comorbid mental disorder. The average inpatient psychiatric or psychotherapeutic length of stay for the treatment of mental disorders is substantially longer than the length of stay for the treatment of a patient with T1D (25 vs. 7 days)36,37. As psychotherapeutic interventions to improve treatment adherence or reduce symptoms of comorbid mental disorders (such as depression) may have a positive effect on HbA1c levels in addition to the primary treatment goal38,39, it is possible that patients with T1D and PTSD may even have a positive impact on T1D disease progression, such as the number of hospital admissions, as a result of treatment for the comorbid mental disorder compared to patients without psychological support. Furthermore, patients with T1D and PTSD may have learned to better adjust their CD due to a longer hospital stay and consistent good medical care during hospitalization. An improvement in T1D self-management could also be a reason for a lower number of hospital admissions. Especially since initial results indicate that short-term hospitalization may not be the right occasion to intervene in the long-term diabetes management and achieve improvements40.
Adequate treatment and good glycemic control, reflected in low HbA1c levels, significantly reduce the risk of long-term vascular and neurological complications41,42,43,44. Conversely, this means that the significantly higher HbA1c level of CAYA with T1D and comorbid PTSD compared to CAYA with T1D without PTSD or without other mental comorbidities carries a high long-term health risk and can have a lasting impact on the further life of the still young patients with T1D. Severe, acute hyperglycemia may lead to DKA. DKA are potentially life-threatening complications that require intensive medical treatment and can have a significant impact on the patient and his or her social environment. DKA requires medical treatment, which partly explains the increased hospital admissions in addition to the increased DKA episodes in the CAYA with comorbid PTSD. DKA episodes and hospital admissions for T1D with early onset are among the categories that generate the highest healthcare costs. Female gender, pubertal age and poor glycemic control were associated with higher total costs45.
The findings that CAYA with T1D and comorbid PTSD had higher BMI and longer hospital stays compared to CAYA with T1D without PTSD, but not compared to CAYA without other comorbid mental disorder, may be indicative of the PTSD specific impact on diabetes-related outcomes. It is well-established that PTSD is associated with a reduced healthy diet and physical activity, as well as increased obesity16. The co-existence of obesity at a young age can have a negative clinical impact on all stages of diabetes course, which in turn could induce prolonged hospital stay46.
Adults had a substantially longer duration of T1D (8 vs. 20 years) and thus a higher T1D experience than CAYA. Adult patients with T1D older than 30 years had lower glucose variability/higher glycemic stability compared to adults younger than 30 years47. Stability in midlife and old age, as well as therapy that has become a constant habit, could reduce diabetes-specific emotional distress22. Whereas this diabetes-specific distress in turn moderates the occurrence of comorbid mental disorders, metabolic outcomes and well-being48. In addition, lack of family support and parental involvement in T1D treatment may lead to deteriorating glycemic control (i.e. higher HbA1c levels) in CAYA49,50. Due to developmental milestones achieved, adult patients usually do not need this type of support22,51. These aspects may explain why CAYA with T1D and comorbid PTSD have increased HbA1c and DKA compared with CAYA with T1D without PTSD or without other mental disorder, but adults do not have the worsening in metabolic outcomes and a better glycemic control.
CAYA with T1D and comorbid anxiety disorder also had increased HbA1c, DKA and hospital admissions compared with controls18. This association could be due to symptom overlap such as anxiety, psychological and physiological/autonomic hyperarousal (for example, exaggerated startle response, sleep disturbances, irritability, difficulty concentrating and excessive alertness) and avoidance behavior of anxiety disorders and PTSD 3. The autonomic hyperarousal in anxiety and PTSD is similarly manifest in acute or prolonged distress and can lead to insulin resistance and hyperglycemia22. These diabetes-related consequences of autonomic hyperarousal could be prevented by anticipatory diabetes self-management. As physiological responses to distress are rarely predictable, there are no specific response patterns that a patient with T1D could rely on22. In addition, the accuracy of perception of internal body processes (interoception) is important, especially hyperarousal. However, there is evidence from the literature that stress-related interoception is impaired in individuals with mental disorders52 or individuals with childhood trauma53. As well, avoidance behavior is a symptom in anxiety disorders, but also in PTSD3. If insulin treatment leads to confrontation with anxiety (in anxiety disorder) or circumstances similar to or related to the trauma (in PTSD triggered by medical trauma), the insulin treatment could be more likely to be avoided in these patients than in CAYA without mental disorders25,26,27. Avoidance of insulin treatment can lead to irregular and inadequate insulin control and treatment, which in turn can result in increased DKA, HbA1c and hospital admissions.
Only 28.8% of adolescents with mental disorder in Germany are in treatment54 and this despite the fact that the effectiveness (e.g. reduction of mental disorder symptoms, increase of self-efficacy, increased glycemic control and self-management) of behavioral interventions in CAYA with T1D is well proven55. Lack of (additional) psychological care may maintain the poorer diabetes-related outcomes of CAYA with T1D and comorbid PTSD compared to CAYA with T1D without PTSD or without other mental comorbidities.
A limitation is that due to the cross-sectional design of this study, it was not possible to make causal statements about PTSD and diabetes-related outcomes. Another limitation is that the DPV documentation does not have information on the timing or type of trauma, the timing of diagnosis or duration and severity of PTSD or information on the treatment of comorbid PTSD. Treatment centers differ in their focus on mental comorbidity, resulting in different rates of documented comorbid mental disorders. As the general detection rate for mental disorders is also only 50%56, mental comorbidities in patients with T1D may have been underestimated in this study. A strength of the study is that the data of patients with T1D and comorbid PTSD were analyzed comparatively with two control groups and thus an interpretation of the results is possible for the diagnosis of PTSD, but also for other mental disorders. Another strength is that the search strings for the documentation in the DPV were conducted according to the documented diagnosis of PTSD to avoid bias in the results. However, this does not enable conclusions to be made about patients with T1D and comorbid PTSS in relation to diabetes-related outcomes. Since even elevated PTSS can have a significant negative impact on chronic disease severity, treatment adherence, health problems and functional impairment57,58,59, this would be an interesting future research question.
CAYA with T1D have the strongest negative impact due to comorbid PTSD on diabetes-related outcomes HbA1c, DKA, BMI, hospital admission and length of hospital stay. These consequences, in the context of the increased prevalence of PTSD in T1D5,6 compared to adolescents without T1D4, point to the relevance and importance of this comorbidity in clinical practice. It should therefore be considered to screen this at-risk group preventively for PTSD or psychological distress in routine healthcare. Early detection and psychological counseling- ideally through the early involvement of a multidisciplinary diabetes specialist team—are necessary60,61.
In order to ensure patient protection and to comply with the available consent forms, patient level data cannot be transferred outside of the Institute for Epidemiology and Medical Biometry, University of Ulm. However, joint research projects or remote data processing are possible. Further information about the data and conditions for access are available at https://www.d-p-v.eu/datenschutz.
Cooper, M. N. et al. Psychiatric disorders during early adulthood in those with childhood onset type 1 diabetes: Rates and clinical risk factors from population-based follow-up. Pediatr. Diabetes 18, 599–606 (2017).
CAS  Google Scholar 
Lin Elizabeth, H. B. & Von Korff, M. Mental disorders among persons with diabetes—results from the World Mental Health Surveys. J. Psychosom. Res. 65, 571–580 (2008).
CAS  Google Scholar 
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-5) (American Psychiatric Association, 2013).
Google Scholar 
Koenen, K. C. et al. Posttraumatic stress disorder in the World Mental Health Surveys. Psychol. Med. 47, 2260–2274 (2017).
CAS  Google Scholar 
Landolt, M. A., Ystrom, E., Sennhauser, F. H., Gnehm, H. E. & Vollrath, M. E. The mutual prospective influence of child and parental post-traumatic stress symptoms in pediatric patients. J. Child Psychol. Psychiatry Allied Discip. 53, 767–774 (2012).
Google Scholar 
Şişmanlar, ŞG. et al. Posttraumatic stress symptoms in children diagnosed with type 1 diabetes. Ital. J. Pediatr. 38, 38–43 (2012).
Google Scholar 
Myers, V. H. Mood and anxiety symptomatology in adults with insulin-dependent diabetes mellitus using intensive management regimens. Diss. Abstr. Diss. Abstr. Int. Sect. B Sci. Eng. 20, 4628 (2004).
Google Scholar 
Arigo, D. et al. Unique realtions between post-traumatic stress disorder symptoms and patient functioning in type 2 diabetes. J. Health Psychol. 25, 652–664 (2021).
Google Scholar 
Heim, C. et al. Childhood trauma and risk for chronic fatigue syndrome. Arch. Gen. Psychiatry 66, 72 (2009).
Google Scholar 
Koenen, K. C. & Galea, S. Post-traumatic stress disorder and chronic disease: open questions and future directions. Soc. Psychiatry Psychiatr. Epidemiol. 50, 511–513 (2015).
Google Scholar 
Nicolson, N. A., Davis, M. C., Kruszewski, D. & Zautra, A. J. Childhood maltreatment and diurnal cortisol patterns in women with chronic pain. Psychosom. Med. 72, 471–480 (2010).
Google Scholar 
Goodwin, R. D. & Davidson, J. R. Self-reported diabetes and posttraumatic stress disorder among adults in the community. Prev. Med. (Baltim) 40, 570–574 (2005).
Google Scholar 
Roberts, A. et al. Posttraumatic stress disorder and incidence of type 2 diabetes mellitus in a sample of women. A 22-year longitudinal study. JAMA Psychiatr. 72, 203–210 (2015).
Google Scholar 
Romans, S., Belaise, C., Martin, J., Morris, E. & Raffi, A. Childhood abuse and later medical disorders in women. Psychother. Psychosom. 71, 141–150 (2002).
Google Scholar 
Vaccarino, V. et al. Post-traumatic stress disorder and incidence of coronary heart disease: A twin study. J. Am. Coll. Cardiol. 62, 970–978 (2013).
Google Scholar 
van den Berk-Clark, C. et al. Association between Posttraumatic Stress Disorder and lack of exercise, poor diet, obesity and co-occuring smoking: A Systematic Review and Meta-analysis. Health Psychol. 37, 407–416 (2019).
Google Scholar 
Eckert, A. et al. Non-suicidal self-injury in adolescents and young adults with type 1 diabetes: clinical characteristics from a German diabetes-patient registry (DPV). Psychiatry Res. 297, 25 (2021).
Google Scholar 
Galler, A. et al. Worse glycemic control, higher rates of diabetic ketoacidosis, and more hospitalizations in children, adolescents, and young adults with type 1 diabetes and anxiety disorders. Pediatr. Diabetes 22, 519–528 (2021).
CAS  Google Scholar 
Plener, P. L. et al. Depression, metabolic control, and antidepressant medication in young patients with type 1 diabetes. Pediatr. Diabetes 16, 58–66 (2015).
CAS  Google Scholar 
Van Bastelaar, K. M. P. et al. Diabetes-specific emotional distress mediates the association between depressive symptoms and glycaemic control in Type 1 and Type 2 diabetes. Diabet. Med. 27, 798–803 (2010).
Google Scholar 
Subasinghe, S. S. et al. Review of the prevalence and associations of depression and anxiety in type 1 diabetes mellitus. J. Diabetes Metab. Disord. 2, 25 (2015).
Google Scholar 
Lange, K. & Ernst, G. Belastungen und stress bei Typ-1-diabetes. Diabetologe 13, 554–561 (2017).
Google Scholar 
Hilliard, M. E. et al. Stress and A1c among people with diabetes across the lifespan. Curr. Diab. Rep. 16, 1–16 (2016).
CAS  Google Scholar 
Kirsch, V. & Izat, Y. Reaktionen auf schwere Belastungen. In Klinikmanual Kinder- und Jugendpsychiatrie und -Psychotherapie (eds Fegert, J. M. & Kölch, M.) 240–259 (Springer, 2013).
Google Scholar 
Edmonson, D. et al. Posttraumatic stress disorder prevalence and risk of recurrence in acute coronary sydrome patients: A meta-analytic review. PLoS One 7, e38915 (2012).
ADS  Google Scholar 
Husain, S. A., Edmondson, D., Kautz, M., Umland, R. & Kronish, I. M. Posttraumatic stress disorder due to acute cardiac events and aversive cognitions towards cardiovascular medications. J. Behav. Med. 41, 261–268 (2018).
Google Scholar 
Taggart, W. L. et al. Posttraumatic stress disorder and nonadherence to medications prescribed for chronic medical conditions: A meta-analysis. J. Psychiatr. Res. 102, 102–109 (2018).
Google Scholar 
Arbeitsgemeinschaft Adipositas im Kindes- und Jugendalter. Therapie der Adipositas im Kindes- und Jugendalter. http://www.aga.adipositas-gesellschaft.de/fileadmin/PDF/Leitlinien/Leitlinie-AGA-S3-2009.pdf (2009).
Cole, T. J. The LMS method for constructing normalized growth standards. Eur. J. Clin. Nutr. 44, 45–60 (1990).
CAS  Google Scholar 
Rosenbauer, J. et al. Improved metabolic control in children and adolescents with type 1 diabetes: A trend analysis using prospective multicenter data from Germany and Austria. Diabetes Care 35, 80–86 (2012).
Google Scholar 
Wolfsdorf, J. I. et al. ISPAD clinical practice consensus guidelines 2018: diabetic ketoacidosis and the hyperglycemic hyperosmolar state. Pediatr. Diabetes 19, 155–177 (2018).
Google Scholar 
Sawyer, S. M., Azzopardi, P. S., Wickremarathne, D. & Patton, G. C. The age of adolescence. Lancet Child Adolesc. Health 2, 223–228 (2018).
Google Scholar 
Olff, M. Sex and gender differences in post-traumatic stress disorder: an update. Eur. J. Psychotraumatol. 8, 1351204 (2017).
Google Scholar 
Olff, M., Langeland, W., Draijer, N. & Gersons, B. P. R. Gender differences in posttraumatic stress disorder. Psychol. Bull. 133, 183–204 (2007).
Google Scholar 
Kessler, R. C., Tat Chiu, W., Demler, O. & Walters, E. E. Prevalence, severity, and comorbidity of twelve-month DSM-IV disorders in the national comorbidity survey replication (NCS- R). Arch. Gen. Psychiatry 62, 617–627 (2005).
Google Scholar 
Auzanneau, M. et al. Diabetes in the hospital. Dtsch. Arztebl. Int. 118, 407–412 (2021).
Google Scholar 
Statistisches Bundesamt. Fachserie 12/Reihe 6.1-Grunddaten der Krankenhäuser und Vorsorge- oder Rehabilitationseinrichtungen 2004. (2006).
Viana, L. V., Gomes, M. B., Zajdenverg, L., Pavin, E. J. & Azevedo, M. J. Interventions to improve patients’ compliance with therapies aimed at lowering glycated hemoglobin (HbA1c) in type 1 diabetes: Systematic review and meta-analyses of randomized controlled clinical trials of psychological, telecare, and educational interve. Trials 17, 15 (2016).
Google Scholar 
Snoek, F. J. & Skinner, T. C. Psychological counselling in problematic diabetes: Does it help?. Diabet. Med. 19, 265–273 (2002).
CAS  Google Scholar 
Anderson, T. S. et al. Intensification of diabetes medications at hospital discharge and clinical outcomes in older adults in the veterans administration health system. JAMA Netw. Open 4, 1–14 (2021).
Google Scholar 
Dockery, D. The Effect of intensive treatment of diabetes on the developement and progression of long-term complications in insulin-dependent diabetes mellitus. N. Engl. J. Med. 329, 977–986 (1993).
Google Scholar 
Kilpatrick, E. S., Rigby, A. S. & Atkin, S. L. A1C variability and the risk of microvascular complications in type 1 diabetes: Data from the diabetes control and complications trial. Diabetes Care 31, 2198–2202 (2008).
Google Scholar 
Steineck, I., Cederholm, J. & Eliasson, B. Insulin pump therapy, multiple daily injections, and cardiovascular mortality in 18 168 people with type 1 diabetes: observational study. BMJ 350, 25 (2015).
Google Scholar 
Virk, S. A. et al. Association between HbA1c variability and risk of microvascular complications in adolescents with type 1 diabetes. J. Clin. Endocrinol. Metab. 101, 3257–3263 (2016).
CAS  Google Scholar 
Bächle, C. et al. Direct diabetes-related costs in young patients with early-onset, long-lasting type 1 diabetes. PLoS One 8, 25 (2013).
Google Scholar 
Ciężki, S., Kurpiewska, E., Bossowksi, A. & Głowińska-Olszewska, B. Multi-faceted influence of obesity on type 1 diabetes in children—from disease pathogenesis to complications. Frontiers (Boulder) 13, 1–18 (2022).
Google Scholar 
Sandig, D. et al. Continuous glucose monitoring in adults with type 1 diabetes: real-world data from the German/Austrian prospective diabetes follow-up registry. Diabetes Technol. Ther. 22, 5 (2020).
Google Scholar 
Strandberg, R. B., Graue, M., Wentzel-Larsen, T., Peyrot, M. & Rokne, B. Relationships of diabetes-specific emotional distress, depression, anxiety, and overall well-being with HbA1c in adult persons with type 1 diabetes. J. Psychosom. Res. 77, 174–179 (2014).
Google Scholar 
Anderson, B., Brackett, J., Finkelstein, D. & Laffel, L. Parental involvement in diabetes management tasks: Relationships to blood glucose monitoring adherence and metabolic control in young adolescents with insulin-dependent diabetes mellitus. J. Pediatr. 130, 257–265 (1997).
CAS  Google Scholar 
Khadilkar, A. & Oza, C. Glycaemic control in Youth and Young Adults: Challenges and solutions. Diabetes Metab. Syndr. Obes. Targets Ther. 15, 121–129 (2022).
CAS  Google Scholar 
Christie, D. How do children and adolescents understand their diabetes?. Pract. Diabetes 36, 117–120a (2019).
Google Scholar 
Khalsa, S. S. et al. Interoception and mental health: A roadmap. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 3, 501–513 (2018).
Google Scholar 
Schaan, V. K. et al. Childhood trauma affects stress-related interoceptive accuracy. Front. Psychiatry 10, 1–10 (2019).
Google Scholar 
Hintzpeter, B. et al. Mental health care use among children and adolescents in Germany: results of the longitudinal BELLA study. Eur. Child Adolesc. Psychiatry 24, 705–713 (2015).
Google Scholar 
Doric, A., Stevanovic, D. & Knez, R. Anxiety and depressive disorders in children and adolescents suffering from diabetes mellitus. Med. Flum. 54, 166–176 (2018).
Google Scholar 
Baumeister, H. et al. Leitfaden zur Implementierung eines psychodiagnostischen Stufenplans in der medizinischen. Rehabilitation 20, 25 (2011).
Google Scholar 
Boyd, J. E. et al. The contributions of emotion regulation difficulties and dissociative symptoms to functional impairment among civilian inpatients with posttraumatic stress symptoms. Psychol. Trauma Theory Res. Pract. Policy 12, 739–749 (2020).
Google Scholar 
James, J., Harris, Y. T., Kronish, I. M., Wisnivesky, J. P. & Lin, J. J. Exploratory study of impact of cancer-related posttraumatic stress symptoms on diabetes self-management among cancer survivors. Psychooncology. 27, 648–653 (2018).
Google Scholar 
Langeveld, N. E., Grootenhuis, M. A., Voûte, P. A. & De Haan, R. J. Posttraumatic stress symptoms in adult survivors of childhood cancer. Pediatr. Blood Cancer 42, 604–610 (2004).
CAS  Google Scholar 
DDG AGPD. Diagnostik, Therapie und Verlaufskontrolle des Diabetes mellitus im Kindes- und Jugendalter S3-Leitlinie der DDG und AGPD. 48 (2015).
Kulzer, B. et al. Psychosoziales und diabetes. Diabetol. Stoffwechsel. 16, S389–S405 (2021).
Google Scholar 
Download references
We would like to thank all patients and their families, and the diabetes-care-centers participating in the prospective diabetes survey (DPV, complete list see www.d-p-v.eu). We thank Ramona Ranz and Andreas Hungele developing the DPV software.
Open Access funding enabled and organized by Projekt DEAL. This study was supported through the Federal Ministry of Education and Research (BMBF) within the German Centre for Diabetes Research (DZD, Grant number 82DZD14E03). Further financial support was received by the German Robert Koch institute (RKI diabetes surveillance), the German Diabetes Association (DDG) and the COACH (Chronic Conditions in Adolescents: Implementation and Evaluation of Patient-centred Collaborative Health Care) project (Grant number: BMBF: 01GL1740A). Sponsors were not involved in data acquisition or analysis.
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Lise-Meitner-Str. 16, 89081, Ulm, Germany
Frederike Lunkenheimer & Harald Baumeister
Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm University, Albert-Einstein-Allee 41, Ulm, Germany
Alexander J. Eckert & Reinhard W. Holl
German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, Munich-Neuherberg, Germany
Alexander J. Eckert, Bernhard Kulzer & Reinhard W. Holl
Pediatric Endocrinology and Diabetology, Primary Psychosomatic Care, Bahnhofstraße 54, Witten, Germany
Dörte Hilgard
Department of Endocrinology and Diabetology, Hospital Sachsenhausen, Schulstraße 31, Frankfurt, Germany
Daniel Köth
Research Institute of the Diabetes-Academy Mergentheim (FIDAM), Theodor-Klotzbücher-Straße 12, Bad Mergentheim, Germany
Bernhard Kulzer
Department of Pediatrics and Adolescent Medicine, Regional Hospital Mödling, Sr. M. Restituta-Gasse 12, Mödling, Austria
Ursula Lück
Diabetes Centre, Alexianer St. Hedwig Hospital, Große Hambuger Straße 5-11, Berlin, Germany
Blanca Lüdecke
Clinic Group Dr. Guth GmbH & Co. KG, Clinical Center Karlsburg, Greifswalder Straße 11, Karlsburg, Germany
Antonia Müller
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
F.L. interpreted the data, prepared the manuscript draft, revised the manuscript along the co-authors feedback and finalized it for submission. F.L. was responsible for the review process and further revisions of the manuscript along the reviewer feedback. A.E. verified statistical feasibility, performed data preparation and statistical analysis. R.W.H. is the senior scientist for the DPV initiative, conceived the study and acquired funding. F.L., A.E., H.B. and R.W.H. initiated and elaborated the project. The authors A.E., D.K., B.K., U.L., B.L., A.M., H.B., D.H. and R.W.H. reviewed the article critically and approved the final version of the manuscript before submission.
Correspondence to Frederike Lunkenheimer.
The authors declare no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Reprints and Permissions
Lunkenheimer, F., Eckert, A.J., Hilgard, D. et al. Posttraumatic stress disorder and diabetes-related outcomes in patients with type 1 diabetes. Sci Rep 13, 1556 (2023). https://doi.org/10.1038/s41598-023-28373-x
Download citation
Received: 06 September 2022
Accepted: 17 January 2023
Published: 27 January 2023
DOI: https://doi.org/10.1038/s41598-023-28373-x
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.
Advertisement
Scientific Reports (Sci Rep) ISSN 2045-2322 (online)
© 2023 Springer Nature Limited
Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

source

By admin

Leave a Reply

Your email address will not be published. Required fields are marked *