Skip to main content

Posttraumatic stress symptoms in adolescents and young adults with a chronic somatic disease: a mixed-methods study



Adolescents and young adults (AYA) with a chronic somatic disease (CD) have a 3-fold higher risk of post-traumatic stress disorder (PTSD) than healthy controls. In addition, elevated post-traumatic stress symptoms (PTSS) have a negative impact on CD severity, treatment adherence, health problems and functional impairment. However, a more detailed understanding of this comorbidity is lacking.


AYA with type 1 diabetes mellitus, juvenile idiopathic arthritis or cystic fibrosis (12–21 years of age) and elevated anxiety and/or depression symptoms, as well as their reference persons (≥ 18 years of age), completed online questionnaires in self- or observer report. The most stressful event related to the CD was reported descriptively. Questionnaires were used to assess PTSS, anxious and depressive symptoms, actual overall health, coping, personal growth and social support. Qualitative content analysis, linear regression models and correlations were used for mixed methods analysis.


According to the reports of n = 235 AYA (mean age 15.61; 73% girls) and n = 70 reference persons, four categories were identified as the most stressful events due to CD: (1) psychological burden (40% of AYA / 50% of reference persons); (2) CD self-management (32% / 43%); (3) social burden (30% / 27%); and (4) physical impairment (23% / 16%). 37% of AYA reported clinically relevant PTSS due to CD. The best predictors of PTSS severity were anxious-depressive symptoms, emotional coping, personal growth and current overall health (F(4, 224) = 59.404, = 0.515, p < .001). Of all categories, psychological (β = 0.216, p = .002) and social burden (β = 0.143, p = .031) showed significant association with the severity of PTSS (F(4, 230) = 4.489, = 0.072, p = .002). The more categories the most stressful event addressed, the higher was the PTSS symptom severity (r = .168, p = .010).


Many AYA showed clinically relevant PTSS and reported experiencing stressful events in several areas of life through their CD. The association between the stressful event categories and other variables could help identify AYA with CD who need psychological interventions the most.

Trial registration

: German Clinical Trials Register (DRKS): DRKS00016714, registered on 25/03/2019 and DRKS00017161, registered on 17/09/201.


On average, 40% of the general population has a chronic somatic disease (CD) [1]. In childhood and adolescence 15% of this group suffer from CD, with an increasing trend in number of cases [2, 3]. Common CD include type 1 diabetes mellitus (T1D), with 310/100,000 individuals at the transition to adulthood [4], cystic fibrosis (CF), with 8/100,000 [5], and juvenile idiopathic arthritis (JIA), with 100/100,000 adolescents [6]. As (young) people with CD often experience functional impairments in school, work, leisure and social activities [7] and physical and psychological impairments in their daily lives [8], it is not surprising that more than 40% of people with CD also have a mental disorder [9]. On average, 11.5% of the children and adolescents with CD meet the criteria for post-traumatic stress disorder (PTSD) [10]. Thus the risk of meeting the criteria for PTSD is 2.7-fold higher than their healthy peers [8].

According to the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; 11), PTSD is a trauma- and stressor-related disorder caused by a traumatic event and is defined by four characteristic symptom domains including intrusion symptoms, avoidance, negative alterations in mood and cognitions, and alterations in arousal and reactivity, causing clinically significant distress and/or functional impairment. Due to changed diagnostic criteria in the recent DSM-5, i.g. the requirements for the fulfilment of the traumatic event were limited, a threat to physical integrity - and thus a CD diagnosis - no longer counts as a criterion for a traumatic event that serves as the basis for a PTSD diagnosis [11, 12]. An exception for this is when CD is associated with increased mortality [11]. A CD which may be experienced as an aversive event given the experience of diagnosis and medical treatment, may be a trigger for elevated post-traumatic stress symptoms (PTSS), but does not necessarily fulfil a diagnosis of PTSD [13]. In addition, children and adolescents with CD report a higher level of PTSS than community norms or healthy control groups (g = 0.50) [10]. Thereby, similar to PTSD, PTSS show a significant negative impact on CD severity, treatment adherence, health problems, and functional impairment [14,15,16,17]. This, and the fact that PTSS are more common than PTSD in adolescents and young adults (AYA) with CD [18] and yet PTSS is underestimated [13], show the relevance of PTSS in CD.

The focus of research on AYA with PTSS have often dealt with cancer [19] or chronic pain [20], as well as drastic life events such as heart attack [21], injury [22] or organ transplant [19]. While the perceived threat to life is particularly high for these medical diagnoses and treatment protocols are often very aversive, CD such as T1D, CF and JIA are also associated with prolonged hospital stays, invasive medical interventions and a potential threat to life [23]. Additionally, research often consider PTSS among parents (and especially mothers) of children with CD [24,25,26] rather than the patients themselves.

An improved and broadened understanding of the comorbidity of CD and PTSS in AYA through the use of mixed methods (combination of qualitative and quantitative analysis) [27, 28], considering self-report and observer-report as well as demographic and psychosocial parameters (e.g. social support, coping, personal growth, depressive and anxious symptoms) promotes early identification of AYA who require psychological support in addition to CD treatment, which in turn may positively impact the course of CD and treatment.


The overall purpose of this study was to obtain detailed information about the most stressful events of CD, the severity of PTSS and their association, and other related variables through reports from AYA with T1D, JIA or CF and their reference person. Hence, the following questions were explored in a sample of AYA with T1D, JIA or CF and comorbid elevated anxiety and/or depression symptoms:

  1. 1.

    Which most stressful events related to the CD were reported by AYA with CD (self-report) and their reference person (observer report)?

  2. 2.

    Is there an association between severity of PTSS in AYA with CD and age, gender, type of CD, anxious depressive symptoms, coping, personal growth, current overall health and social support?

  3. 3.

    Is there an association between categories of the most stressful event of CD and age, gender, type of CD and severity of PTSS in AYA with CD?

  4. 4.

    What are the similarities and differences between self- and observer report in relation to the categories of most stressful events due to CD, severity of PTSS, anxious and depressive symptoms and social support in AYA with CD?



The study is based on the baseline datasets of a multicenter randomised controlled trial evaluating the (cost-) effectiveness of guided internet- and mobile-based cognitive behavioural intervention for AYA with CD and comorbid depression and anxiety symptoms (youthCOACHCD) [29] and the preceding feasibility study [30]. To avoid bias in the data due to treatment effects, the baseline data were analysed cross-sectionally. The studies were conducted within the framework of the COACH project (Chronic conditions in adolescents: implementation and evaluation of patient-centered collaborative healthcare). The studies were approved by the ethics committee of Ulm University (Number 292/18) and a-priori registered at the WHO International Clinical Trials Registry Platform via the German Clinical Trials Register (ID: DRKS00016714, 25/03/2019 and DRKS00017161, 17/09/2019). Written informed consent was obtained from all participating AYA; for participants under 16 years of age, written informed consent was also obtained from both legal representatives.


AYA with T1D, JIA and CF aged between 12 and 21 years old and elevated anxiety and/or depression symptoms (Generalized Anxiety Disorder Screener, GAD-7 [31] and/or Patient Health Questionnaire, PHQ-9 [32] score ≥ 7) were eligible for participation in case of available internet access, basic knowledge of German language and providing informed consent for participation. AYA with increased risk of suicidality at screening (PHQ-9 Item 9 > 1) were excluded for ethical and safety reasons and referred to ongoing clinical routine [29, 30].

Recruitment of participants

In the feasibility study, an open recruitment strategy (social media posts in self-help groups for people with CD, flyers in doctors’ offices and clinics or information to email distribution lists of self-help groups) for AYA living in Germany was used between April 2019 and May 2020 [30]. Interested AYA contacted the study team by email [30]. In the (cost-) effectiveness study, recruitment was from October 2019 to June 2022 [29]. Anxious and depressive symptoms were screened as part of routine clinical practice in hospitals, clinics, doctors’ offices and medical centres all over Germany where AYA with T1D, CF or JIA received medical treatment. These clinical sites were all organised in three well-established German patient registries: the National Paediatric Rheumatologic Database (NPRD) [33], the National Diabetes Registry (DPV) [34] and the Cystic Fibrosis (CF) Registry [35]. Screening data were collected in clinical centres and managed within these patient registries. AYA received feedback on their mental well-being from their relevant healthcare provider. If inclusion criteria were met (GAD-7 [31] and/or PHQ-9 [32] score ≥ 7, without PHQ-9 item 9 > 1), AYA were informed by clinic staff and invited to participate in the study, in addition to standard care (treatment as usual). Furthermore, participants could nominate a reference person to provide information about AYA’s health in the observer report. The reference person had to be 18 years of age or older and had to provide written informed consent as well. For each randomised AYA the respective clinical unit received €230 as financial compensation for its recruitment efforts [29].


The surveys were conducted on the secure online platform Unipark [36]. Participants and their reference persons were invited by email. If they did not respond to the invitation, they were reminded by email and phone calls. AYA received €10 for each completed survey as compensation. Table 1 gives an overview of all the measurement instruments used. A detailed description of the measurement tools can be found elsewhere [29].

Table 1 Measurement instruments

Data analysis

Qualitative data analysis

The evaluation of the free text description of the most stressful event due to the CD in the self-report and the observer report was systematically analysed with the MAXQDA Software [47] using qualitative content analysis according to Mayring [48]. The categories were assigned deductively by following six main steps: [1] Based on the current literature and relevant findings, a category system with four categories (physical impairments, CD self-management, social and psychological burdens) was defined [8, 49]. [2] After reviewing the data, a coding guideline with definitions, anchor examples and coding rules for each category was defined. [3] After pilot coding of 20% of the data by two independent raters (FL and PV), the category system was revised. [4] First author coded the free text statements using the revised category system. [5] A second independent coder (PV) repeated the coding process. Finally, the coders discussed conflicting decisions in order to reach consensus. In case of disagreement, a third independent rater with experience in qualitative research (AM) would have contributed to the decision-making process. In addition to the description of the content of the categories, the results are also reported quantitatively as frequencies in percentages.

Quantitative data analysis

The statistical analyses of the descriptive and quantitative data were generated by using SPSS 28.0 [50]. The demographic data were analysed descriptively. The results were presented as a mean with standard deviation or as a proportion. The association between the predictors age, gender, type of CD, current overall health, coping style, level of social support, level of personal growth, depressive and anxiety symptom severity and the severity of PTSS (sum score) were calculated using multiple or stepwise regression. Variables with more than two manifestations (gender and type of CD) were contrast coded and included in the model as categorical predictors together with the continuous variables. The multiple regression analysis was preceded by a correlation analysis to detect suppression effects.

Mixed methods

The statistical analyses of the mixed methods were generated by using SPSS 28.0 [50]. In accordance with the transfer design (quantification of qualitative data), we implemented the qualitative categories in our regression models. The association between the dummy-coded qualitative categories and the quantitative predictors age, gender and type of CD was calculated using binomial logistic regression. The association between the qualitative categories as dummy-coded predictors and the quantitative variable severity of PTSS (sum score) was calculated using multiple regression. For the comparison of the data in the self-report and the observer report, the variables clinically relevant PTSS (cut-off), anxious symptoms, depressive symptoms, qualitative categories of most stressful events due to CD and social support were analysed using correlations, Chi2 tests or t-tests depending on the distribution.



The sample consisted of n = 235 AYA (n = 15 from the feasibility study, n = 220 from the effectiveness study) and n = 70 reference persons (n = 11 from the feasibility study, n = 59 from the effectiveness study). Detailed sample characteristics are displayed in Table 2.

Table 2 Sociodemographic characteristics of the sample

37% of AYA reported clinically relevant PTSS (CATS ages 7–17 [37] cut-off ≥ 21) and as many as 82% reported anxious and/or depressive symptoms (GAD-7 [31] and/or PHQ-9 [32] score ≥ 7). 90% of the reference persons were mothers, 6% fathers and 4% siblings, foster mothers or partners of the AYA. The mean age was M = 45.69 (SD = 6.58). 47% of the reference persons reported clinically relevant PTSS (CATS [37] cut-off ≥ 21) in the AYA. The internal consistency of the questionnaires used in our sample was between McDonald’s Omega (ω) = 0.554 and 0.901. Means, standard deviation and McDonald’s Omega are displayed in Table 3.

Table 3 Means and standard deviations

Qualitative data analysis

Intercoder reliability was 62% for the pilot coding. After adjusting the category system and the coding rules for the entire dataset, the intercoder reliability was 76%, with a final consensus of 100%. The four categories were identified as the most stressful events in relation to the CD: physical impairments, CD self-management, social and psychological burdens. 23% (n = 54) of AYA and 16% (n = 11) of reference persons reported physical impairments such as physical symptoms due to CD, pain in daily life, side effects of medication. 32% (n = 74) of the AYA and 43% (n = 30) of the reference persons reported burdens from CD self-management such as controlling medical parameters in daily life, treatment of CD, medical appointments, taking medication and its organization in daily life. The category of social burdens included reports of ignorance or non-acceptance of CD by others, bullying or increased pity and special role due to CD reported by 30% (n = 71) of AYA and 27% (n = 19) of reference persons. 40% (n = 93) of AYA and 50% (n = 35) of reference persons reported psychological burdens such as lack of acceptance of the CD, fear of the future, fear of dying early, self-doubt, guilt, worry, and loss of light-heartedness. 28.1% (n = 66) of AYA and 38.6% of reference persons (n = 27) reported more than one category. 8% (n = 19) of AYA and 6% (n = 4) of the reference persons reported that there were no burdens due to the CD. Example reports on the categories can be found in Table 4.

Table 4 Exemplary quotes from AYA and their RP on most stressful events related to the CD

Quantitative data analysis

The model for symptom severity of PTSS is statistically significant (F(14, 213) = 16.771; p < .001), with = 0.542 (corrected = 0.509). The predictors PHQ-ADS (b = 0.439, p < .001), VAS (b = − 0.058, p = .022), SRGS (b = 0.153, p = .033), CODI Cognitive-Palliative subscale (b = 0.334, p = .018) and CODI Emotional Reaction subscale (b = 0.807, p < .001) are significantly associated with PTSS severity (see Table 5).

Table 5 Association between PTSS severity and demographic and psychosocial predictors

As a result of stepwise regression (forward selection; see Table 6), the predictors PHQ-ADS (b = 0.435, p < .001), CODI Emotional Reaction subscale (b = 0.894, p < .001), SRGS (b = 0.214, p =. 001) and VAS (b = − 0.074, p = .002) best predicted PTSS severity, F(4, 224) = 59.404, p < .001. The model has a high quality of fit with an = 0.515 (corrected R² = 0.506) [51].

Table 6 Stepwise regression to analyses the association between severity of PTSS and predictors

Mixed methods

Categories and demographic variables

The category physical impairment yielded a statistically significant regression model (χ²[4] = 28.24, Nagelkerke = 0.176, p < .001). The Hosmer-Lemeshow test showed a high quality of fit, χ²[7] = 2.53, p = .925. The predictor JIA was significant (95% CI [3.166, 15.295], p < .001) with an OR = 6.96. The odds of physical impairment were seven times greater for AYA with JIA than for AYA with T1D, holding the other predictors constant. For the CD self-management category, the regression model was statistically significant, χ²[4] = 16.85, Nagelkerke = 0.099, p = .002. Quality of fit, tested with the Hosmer-Lemeshow test, was high, χ²[8] = 7.56, p = .478. Age was a significant predictor in the model (p = .041) with an OR = 0.86 (95% CI [0.750, 0.994]). Each additional year of life decreases the odds of distress in CD self-management by a factor of one, holding the other predictors constant. JIA was also a significant predictor (p = .007), with an OR = 0.25 (95% CI [0.091, 0.684]). The odds of burden in CD self-management are 0.25 lower for AYA with JIA than for AYA with T1D. The logistic regression models for the categories psychological burden (χ²[4] = 3.91, p = .418) and social burden (χ²[4] = 6.99, p = .136) were not statistically significant. For more information see Table 7.

Table 7 Association between the categories of most stressful events due to CD and age, type of CD and gender

Categories and severity of PTSS

Multiple regression analysis yielded a significant model for severity of PTSS (F(4, 230) = 4.489, p = .002) with R² = 0.072 (corrected R² = 0.056). The predictors psychological (β = 0.216, b = 4,37, p = .002) and social burden (β = 0.143, b = 3.07, p = .031) were significant, physical impairment and CD self-management did not contribute significantly to the explanation of the variance (see Table 8).

Table 8 Association between severity of PTSS and categories of most stressful events by CD

There was a significant correlation between the number of categories reported and the severity of PTSS (r = .168, p = .010).

Similarities and differences between self- and observer report

The categories physical impairment (χ²[1] = 5.285, φ = 0.275., p = .022) and social burden (χ²[1] = 4.515, p = .034, φ = 0.254) as well as elevated depressive symptoms (χ²[1] = 4.804, φ = 0.262., p = .028) were reported significantly more often by AYA than by reference persons. The category CD self-management (χ²[1] = 4.667, φ = 0.258, p = .031) as challenge by CD and elevated anxious symptoms (χ²[1] = 13.702, φ = 0.442., p = .<001) were reported significantly more often by reference persons than AYA. For the category psychological burden and the frequencies of a clinically relevant PTSS, there were no significant differences in self- and observer reporting (see Table 9).

Table 9 Frequencies and their comparison for the categories of most stressful events due to CD, PTSS, anxious and depressive symptoms in self-report and observer-report

There was no statistically significant difference between AYA (M = 36.89, SD = 6.20) and reference persons’ (M = 37.07, SD = 5.24) reports in terms of AYA social support (BSSS, t(138) = − 0.191, Cohen’s d = − 0.032, p = .848).


The aim of the study was to gain a deeper insight into the most stressful events due to the CD of AYA with JIA, T1D or CF. Based on the results from both self- and oberserver reports, for all three CD social and psychological burdens, physical impairments and CD self-management challenges were reported as most stressful events due to the CD. The present findings are in accordance with prior evidence derived from studies focusing on CD in AYA [8].The stressful events due to the CD have a relevant impact on mental health, which is demonstrated in high PTSS prevalence of 37% (only related to CD) of AYA with CD in this study.

AYA with CD are faced with additional challenges - besides the usual developmental tasks - such as acceptance of CD, fear of health consequences, dealing with pain, social stigma, management and treatment of CD [7, 8, 49]. These challenges were confirmed in the qualitative analysis of the most stressful events due to CD, reflect the possible suffering and burdens and point to possible triggers for PTSS. Although many young people adapt to the challenge of CD, almost one in nine develops PTSD, three times as much as healthy young people [10].

The quantitative results illustrated the possible impact of PTSS in CD. The higher the severity of PTSS reported by the AYA with CD, the stronger was the personal growth, the higher were comorbid anxious-depressive symptoms, the more frequent was the emotional reaction as a coping strategy in dealing with the CD and the lower was the current overall health. This strong association between PTSS and personal growth, may be due to the fact that maturation through a stressful event can only occur when a stressful event (with or without PTSS as a consequence) has been experienced and overcome [52, 53]. The AYA with increased PTSS have a high mental load in general. This association in this study sample may be due to the inclusion criterion of elevated anxious and/or depressive symptoms. Additionally, the high mental load may be due to common vulnerability factors for trauma and stress-related disorders such as anxiety, depression with PTSD [54]; The result confirms that mental disorders occur more frequently cumulative [55]. Emotionally coping with challenges of the CD is reflected in behaviours such as crying or waking up at night thinking about terrible things [41]. These behaviours are also reflected in symptoms (dream related to the traumatic event, persistent negative emotional state) of PTSS [41], which can be explained by the positive association between PTSS and this coping style. Increased use of emotional coping is associated with decreased emotional and social functioning [56]. Overall, the higher the CD burden is experienced, the worse the current health status is perceived. The known effects of PTSS on health problems and functional impairment [14,15,16,17] can also be highlighted by these results and point to the multiple effects that should not be underestimated. AYA with PTSS therefore need increased attention. Early recognition of mental comorbidities, psychosocial support and individual counselling on CD self-management could prevent acute complications and early sequelae [57, 58].

The mixed methods analysis showed that physical impairment was reported seven times more often in AYA with JIA than in AYA with T1D. AYA with T1D were more likely to experience CD self-management as a burden. This is consistent with the typical symptoms of the disease and their treatment according to CD. JIA shows physical impairments through pain and stiffness [59] and T1D is characterised by extensive self-management [57]. The younger AYA with CD seem to be more burdened by the self-management of their CD. Developmentally, younger AYA tend to have more present-oriented thought processes, which can lead to difficulties and overload in anticipatory processes and their organisation, which is, however, fundamental to the self-management treatment of CD [60, 61]. Furthermore, the support and control of parents decreases with the age of the AYA, which could reduce the presence of CD self-management in everyday life and thus the burden [62]. However, the transfer of CD self-management autonomy to the AYA may be reflected in poorer medical parameters of the CD [63]. Thus, there is a dilemma between parental support and the possible increase in AYA burden or handing over responsibility to the AYA and possible resulting deterioration in CD. It would therefore be desirable for AYA to professionally supported in the process of independence in the treatment of CD [64].

Social and psychological burdens were found to be associated with higher PTSS. Thus, the most stressful events due to CD in terms of social environment or psychological condition seem to have a strong influence on the development of PTSS. Social factors appear to strongly influence health in adolescence at the personal, family, community and national levels. Safe and supportive families and schools, as well as positive and supportive peers, are essential protective factors for health development [65]. In the absence of these socially supportive factors, there can be negative effects on mental health, and as this study was able to show, also on PTSS. Other stressful events through CD can also be very burdensome and traumatising, but seem to have a minor impact on the development of PTSS in AYA. Overall, it became clear that the more burdens (the more categories) addressed, regarding the most stressful event due to the CD, the higher was the PTSS severity. These findings are consistent with the knowledge that higher trauma exposure is associated with higher (current and lifetime) prevalence of PTSD and with symptom severity in clear dose-response relationships [66].

AYA reported physical impairments and social burdens due to their CD more often than their reference persons did. However, reference persons were more likely to report burdens from the AYA’s CD self-management than the AYA themselves reported about their CD. An explanation could be that reference persons are more likely to experience the burdens of CD self-management and may themselves be burdened by the support [60, 61]. Caregivers who are psychologically distressed may tend to include their experienced burdens in the observer reports [67]. Thus, the reason for the burden is slightly different depending on the perspective. However, the impact of the most stressful events through the CD on mental health is more than evident through both perspectives. In the self-reports, but also in the observer reports, a clinically relevant PTSS due to the CD was reported in almost every second AYA. Early recognition of mental distress would be feasible through the already existing and regular connection to the health system due to the CD. Raising awareness of this comorbidity would therefore be even more effective in order to be able to provide AYA with psychosocial support in addition to medical support when needed.


In order to obtain specific information about the most stressful events of a CD at AYA, it was essential to ask specifically about this type of index trauma. On the one hand, this is a strength of the study; on the other hand, it limits conclusions about other types of trauma, such as experiences of violence or environmental disasters. Another limitation is that a generalisation of the results from the study to all CD types should only be made with caution due to the sample with the specific CD types T1D, JIA and CF and elevated comorbid anxious and/or depressive symptoms. A further limitation of the study is the lack of assessment of the reference person’s psychological symptoms. The psychological burden of the caregiver might have an influence on the observer reports [67] and would be an interesting area for future research. The study design does not allow conclusions to be drawn about causal relationships, whereby it should be noted that PTSS can only develop under the condition of a stressful situation (due to the CD) [11, 37].


Many AYA show clinically relevant PTSS and report having experienced stressful events in different life domains through their CD. Information on the most stressful events due to CD could be used in clinical practice to adapt practices for AYA and their reference persons to reduce such distressing experiences. The association between the stressful event categories and demographic and psychosocial variables could help identify AYA with CD who are most in need of psychological interventions. These study findings might be used to raise awareness of the comorbidity of CD and PTSS in clinical practice, to identify psychosocial needs in addition to psychological initial screening and medical treatment, and to offer support at an early stage.

Data availability

The datasets analysed during the current study are not publicly available to ensure patient protection, but are available from the author Prof. Dr. Harald Baumeister (harald.baumeister(at) on reasonable request.



Adolescents and Young Adults


Chronic Somatic Disease


Cystic Fibrosis


Diagnostic and Statistical Manual of Mental Disorders


National Diabetes Registry


Juvenile Idiopathic Arthritis


National Paediatric Rheumatologic Database


Post-traumatic Stress Disorder


Post-traumatic Stress Symptoms


Type 1 Diabetes Mellitus


  1. Robert-Koch-Institut, Herausgeber. Daten und Fakten: Ergebnisse der Studie > > Gesundheit in Deutschland aktuell 2010<<. Beiträge zur Gesundheitsberichterstattung des Bundes. Berlin: RKI; 2012.

    Google Scholar 

  2. Van Der Lee J, Mokkink L, Grootenhuis M, Heymans H, Offringa M. Definitions and measurement of a systematic review. JAMA. 2007;297(24):2741–51.

    Article  PubMed  Google Scholar 

  3. Greiner W, Batram M, Dankhoff M, Hasemann L. Beiträge zur Gesundheitsökonomie und Versorgungsforschung: Vol. 36. DAK Kinder- und Jugendreport 2021: Gesundheitsversorgung von Kindern und Jugendlichen in Deutschland. Schwerpunkt: Suchterkrankungen. Storm A, editor. medhochzwei Verlag; 2021.

  4. DiabetesDE. Deutscher Gesundheitsbericht Diabetes 2010 [Internet]. Deutscher Gesundheitsbericht Diabetes 2010. 2010. Available from:

  5. Farrell PM. The prevalence of cystic fibrosis in the European Union. J Cyst Fibros. 2008;7(5):450–3.

    Article  PubMed  Google Scholar 

  6. Luque Ramos A, Hoffmann F, Albrecht K, Klotsche J, Zink A, Minden K. Transition to adult rheumatology care is necessary to maintain DMARD therapy in young people with juvenile idiopathic arthritis. Semin Arthritis Rheum [Internet]. 2017;47(2):269–75. Available from:

  7. Hanns L, Cordingley L, Galloway J, Norton S, Carvalho LA, Christie D, et al. Depressive symptoms, pain and disability for adolescent patients with juvenile idiopathic arthritis: results from the Childhood Arthritis prospective study. Rheumatol (United Kingdom). 2018;57(8):1381–9.

    Google Scholar 

  8. Sawyer SM, Drew S, Yeo MS, Britto MT. Adolescents with a chronic condition: challenges living, challenges treating. Lancet. 2007;369(9571):1481–9.

    Article  PubMed  Google Scholar 

  9. Härter M, Baumeister H, Reuter K, Jacobi F, Höfler M, Bengel JWH. Increased 12-month prevalence rates of mental disorders in patients with chronic somatic diseases. Psychother Psychosom. 2007;76(6):354–60.

    Article  PubMed  Google Scholar 

  10. Pinquart M. Posttraumatic stress symptoms and Disorders in children and adolescents with chronic physical illnesses: a Meta-analysis. J Child Adolesc Trauma. 2020;13(1):1–10.

    Article  PubMed  Google Scholar 

  11. American Psychiatric Association. Diagnostic and statistical Manual of Mental Disorders (DSM-5). 5th ed. Arlington, VA: American Psychiatric Association; 2013.

    Book  Google Scholar 

  12. American Psychiatric Association. Diagnostic and statistical Manual of Mental Disorders (DSM-IV). 4th ed. Washingtion, DC: American Psychiatric Association; 1994.

    Google Scholar 

  13. Meentken MG, van Beynum IM, Legerstee JS, Helbing WA, Utens EMWJ. Medically related post-traumatic stress in children and adolescents with congenital heart defects. Front Pediatr. 2017;5(February):1–6.

    Google Scholar 

  14. DeCarvalho LT. Important missing links in the treatment of chronic low back pain patients. J Musculoskelet Pain. 2010;18(1):11–22.

    Article  Google Scholar 

  15. Langeveld NE, Grootenhuis MA, Voûte PA, De Haan RJ. Posttraumatic stress symptoms in adult survivors of childhood cancer. Pediatr Blood Cancer. 2004;42(7):604–10.

    Article  CAS  PubMed  Google Scholar 

  16. James J, Harris YT, Kronish IM, Wisnivesky JP, Lin JJ. Exploratory study of impact of cancer-related posttraumatic stress symptoms on diabetes self-management among cancer survivors. Psychooncology. 2018;27(2):648–53.

    Article  PubMed  Google Scholar 

  17. Boyd JE, O´Connor C, Protopopescu A, Jetly R, Lanius RA, McKinnon M. The contributions of emotion regulation difficulties and dissociative symptoms to functional impairment among civilian inpatients with posttraumatic stress symptoms. Psychol Trauma Theory Res Patractice Policy. 2020;12(7):739–49.

    Article  Google Scholar 

  18. Barakat LP, Wodka EL. Posttraumatic stress symptoms in college students with a chronic illness. Soc Behav Pers. 2006;34:999–1006.

    Article  Google Scholar 

  19. Kahana SY, Feeny NC, Youngstrom EA, Drotar D. Posttraumatic stress in youth experiencing illnesses and injuries: an exploratory meta-analysis. Traumatol (Tallahass Fla). 2006;12(2):148–61.

    Article  Google Scholar 

  20. Holley AL, Wilson AC, Noel M, Palermo TM. Post-traumatic stress symptoms in children and adolescents with chronic pain: a topical review of the literature and a proposed framework for future research. Eur J Pain (United Kingdom). 2016;20(9):1371–83.

    CAS  Google Scholar 

  21. Alonzo AA. The experience of chronic illness and post-traumatic stress disorder: the consequences of cumulative adversity. Soc Sci Med. 2000;50:1475–84.

    Article  CAS  PubMed  Google Scholar 

  22. O´Connor SS, Zatzick DF, Wang J, Temkin N, Koepsell TD, Jaffe KM, Durbin D, Vavilala M, Dorsch A, Rivara FP. Association between posttraumtic stress, depression, and functional impairments in adolescents 24 month after traumatic brain injury. J Trauma Stress. 2012;25:264–71.

    Article  PubMed  Google Scholar 

  23. Renna CP, Boyer BA, Prout MF, Scheiner G. Posttraumatic stress related to hyperglycemia: prevalence in adults with type I diabetes. J Clin Psychol Med Settings. 2016;23(3):269–84.

    Article  PubMed  Google Scholar 

  24. Cabizuca M, Mendlowicz M, Marques-Portella C, Ragoni C, Coutinho ESF, De Souza W et al. The invisible patients: posttraumatic stress disorder in parents of individuals with cystic fibrosis. Rev Psiquiatr Clin. 2010;37(1).

  25. Pinquart M. Posttraumatic stress symptoms and Disorders in parents of children and adolescents with chronic physical illnesses: a Meta-analysis. J Trauma Stress. 2019;32(1):88–96.

    Article  PubMed  Google Scholar 

  26. Rechenberg K, Grey M, Sadler L. Stress and posttraumatic stress in mothers of children with type 1 diabetes. J Fam Nurs. 2017;23(2):201–25.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Kuckartz U. Mixed methods. Wiesbaden: Springer Fachmedien; 2014.

    Book  Google Scholar 

  28. Levitt HM, Bamberg M, Creswell JW, Frost DM, Suárez-orozco C, Appelbaum M et al. Reporting Standards for Qualitative Research in Psychology: The APA Publications and Communications Board Task Force Report. Am Psychol [Internet]. 2018;1(2):26–46. Available from:

  29. Lunkenheimer F, Domhardt M, Geirhos A, Kilian R, Mueller-Stierlin AS, Holl RW, Meissner T, Minden K, Moshagen M, Ranz R, Sachser C, Staab D, Warschburger P. Baumeister H& C consortium. Effectiveness and cost-effectiveness of guided internet- and mobile-based CBT for adolescents and young adults with chronic somatic conditions and comorbid depression and anxiety symptoms (youthCOACHCD): study protocol of a multicentre randomized controll.

  30. Geirhos A, Domhardt M, Lunkenheimer F, Temming S, Holl RW, Minden K et al. Feasibility and potential efficacy of a guided internet- and mobile-based CBT for adolescents and young adults with chronic medical conditions and comorbid depression or anxiety symptoms (youthCOACHCD): a randomized controlled pilot trial. BMC Pediatr [Internet]. 2022;22(1):1–15. Available from:

  31. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A Brief Measure for Assessing Generalized Anxiety Disorder. Arch Intern Med [Internet]. 2006;166(10):1092. Available from:

  32. Richardson LP, McCauley, Elizabeth, Grossmann DC, McCarty, Carolyn A, Richards, Julie, Russo JE. Rockhill, Carol, Katon W. evaluation of the Patient Health Questionnaire – 9 item for detecting Major Depression among Adolescents. Pediatrics. 2010;126(6):1117–23.

    Article  PubMed  Google Scholar 

  33. Minden K, Niewerth M, Listing J, Zink A. German Study Group of Pediatric Rheumatologists. Health care provision in pediatric rheumatology in Germany–national rheumatologic database. J Rheumatol. 2002;29(3):622–8.

    PubMed  Google Scholar 

  34. Hofer SE, Schwandt, Anke, Holl, Reinhard W, for the G, Initiative D. Standardized documentation in Pediatric Diabetology: experience from Austria and Germany. J Diabetes Sci Technol. 2016;10(5):1042–9.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Stern M. The use of a cystic fibrosis patient registry to assess outcomes and improve cystic fibrosis care in Germany. 2011.

  36. Unipark.

  37. Sachser C, Berliner L, Holt T, Jensen TK, Jungbluth N, Risch E et al. International development and psychometric properties of the Child and Adolescent Trauma Screen (CATS). J Affect Disord [Internet]. 2017;210(August 2016):189–95. Available from:

  38. Kroenke K, Wu J, Yu Z, Bair MJ, Kean J, Stump T, et al. Patient health questionnaire anxiety and depression scale: initial validation in three clinical trials. Psychosom Med. 2016;78(6):716–27.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Wille N, Badia X, Bonsel G, Burström K, Cavrini G, Devlin N, et al. Development of the EQ-5D-Y: a child-friendly version of the EQ-5D. Qual Life Res. 2010;19(6):875–86.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Ravens-Sieberer U, Wille N, Badia X, Bonsel G, Burström K, Cavrini G, et al. Feasibility, reliability, and validity of the EQ-5D-Y: results from a multinational study. Qual Life Res. 2010;19(6):887–97.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Petersen C, Schmidt S, Bullinger M, DISABKIDS Group. Brief report: development and pilot testing of a coping questionnaire for children and adolescents with Chronic Health Conditions. J Pediatr Psychol. 2004;29(8):635–40.

    Article  PubMed  Google Scholar 

  42. Park CL, Cohen LH, Murch RL. Assessment and Prediction of Stress-Related Growth. J Pers [Internet]. 1996;64(1):71–105. Available from:

  43. Maercker A, Langner R. Persönliche Reifung (Personal Growth) durch belastungen und traumata: Validierung zweier deutschsprachiger Fragebogenversionen. DIAGNOSTICA. 2001;47:153–62.

    Article  Google Scholar 

  44. Schulz U, Schwarzer R. Soziale Unterstützung bei der Krankheitsbewältigung. Die Berliner Social Support Skalen (BSSS). Diagnostica. 2003;49:73–82.

    Article  Google Scholar 

  45. Essau CA, Muris P, Ederer EM. *Reliability and validity of the Spence’s children’s anxiety scale and the screen for anxiety related emotional Disorders in german children. J Behav Ther Exp Psychiatry. 2002;33:1–18.

    Article  PubMed  Google Scholar 

  46. Thabrew H, Stasiak K, Bavin LM, Frampton C, Merry S. Validation of the Mood and feelings Questionnaire (MFQ) and short Mood and feelings Questionnaire (SMFQ) in New Zealand help-seeking adolescents. Int J Methods Psychiatr Res 2018;(December 2017):1–9.

  47. Software V. MAXQDA 2022 [Internet]. Berlin: VERBI Software; 2021. Available from:

    Google Scholar 

  48. Mayring P, free download via Social Science Open Access Repository SSOAR). Qualitative content analysis: Theoretical foundation, basic procedures and software solution (. Forum Qual Sozialforschung/Forum Qual Soc Res [Internet]. 2014;(October). Available from:

  49. Geirhos A, Lunkenheimer F, Holl RW, Minden K, Schmitt A, Temming S et al. Involving patients’ perspective in the development of an internet- and mobile-based CBT intervention for adolescents with chronic medical conditions: Findings from a qualitative study. Internet Interv [Internet]. 2021;24:100383. Available from:

  50. IBM Corporation. IBM SPSS Statistics Version 28 [Internet]. New York: IBM Corporation; 2021. Available from:

    Google Scholar 

  51. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. L. Erlbaum Associates; 1988.

  52. Tedeschi RG, Calhoun LG. Posttraumatic growth: conceptual foundations and empirical evidence. Psychol Inq. 2004;15(1):1–18.

    Article  Google Scholar 

  53. Tillery R, Howard Sharp KM, Okado Y, Long A, Phipps S. Profiles of Resilience and Growth in Youth with Cancer and healthy comparisons. J Pediatr Psychol. 2016;41(3):290–7.

    Article  PubMed  Google Scholar 

  54. Spinhoven P, Penninx BW, van Hemert AM, de Rooij M, Elzinga BM. Comorbidity of PTSD in anxiety and depressive disorders: Prevalence and shared risk factors. Child Abus Negl [Internet]. 2014;38(8):1320–30. Available from:

  55. Kessler RC, Chiu T, Demler W, Walters O. Prevalence, severity, and Comorbidity of twelve-month DSM-IV Disorders in the National Comorbidity Survey replication (NCS- R). Arch Gen Psychiatry. 2005;62(6):617–27.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Mauritz PJ, Bolling M, Duipmans JC, Hagedoorn M. The relationship between quality of life and coping strategies of children with EB and their parents. Orphanet J Rare Dis [Internet]. 2021;16(1):1–9. Available from:

  57. Lange K, Ernst G, Kordonouri O, Danne T, Saßmann H. Type 1 diabetes in adolescence: taking responsibility. Diabetologe. 2022;18(2):104–13.

    Article  Google Scholar 

  58. Kulzer B, Albus C, Herpertz S, Kruse J, Lange K, Lederbogen F, Petrak F. Psychosoziales und diabetes. Diabetol und Stoffwechsel. 2021;16:389–405.

    Article  Google Scholar 

  59. Sengler C, Niewerth M, Holl RW, Kilian R, Meissner T, Staab D, et al. Psychische Komorbidität bei der juvenilen idiopathischen Arthritis: Bestandsaufnahme und Ausblick. Kinderrheumatologie. 2019;39:46–53.

    Google Scholar 

  60. Schilling LS, Knafl KA, Grey M. Changing patterns of self-management in youth with type I diabetes. J Pediatr Nurs. 2006;21(6):412–24.

    Article  PubMed  Google Scholar 

  61. Khadilkar A, Oza C. Glycaemic Control in Youth and Young Adults: Challenges and Solutions. Diabetes, Metab Syndr Obes Targets Ther. 2022;15:121–9.

  62. Lerch MF, Thrane SE. Adolescents with chronic illness and the transition to self-management: a systematic review. J Adolesc. 2019;72:152–61.

    Article  PubMed  Google Scholar 

  63. Ingerski LM, Shaw K, Gray WN, Janicke DM. A pilot study comparing traumatic stress symptoms by child and parent report across pediatric chronic illness groups. J Dev Behav Pediatr. 2010;31(9):713–9.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Lange K, Ernst G. Belastungen und stress bei Typ–1-Diabetes. Diabetologe. 2017;13(8):554–61.

    Article  Google Scholar 

  65. Viner RM, Ozer EM, Denny S, Marmot M, Resnick M, Fatusi A et al. Adolescence and the social determinants of health. Lancet [Internet]. 2012;379(9826):1641–52. Available from:

  66. Kolassa IT, Ertl V, Eckart C, Kolassa S, Onyut LP, Elbert T. Spontaneous remission from PTSD depends on the number of traumatic event types experienced. Psychol Trauma Theory Res Pract Policy. 2010;2(3):169–74.

    Article  Google Scholar 

  67. Cohn LN, Pechlivanoglou CE. Health Outcomes of Parents of Children with Chronic Illness: A Systematic Review and Meta-Analysis. J Pediatr. 2020;218:166–177.e2.

Download references


We would like to thank all participating adolescents and young adults and their reference persons as well as the entire COACH Consortium.


Department initiated subproject within the framework of the BMBF-funded COACH project (01GL1740A/E).

Open Access funding enabled and organized by Projekt DEAL.

Author information

Authors and Affiliations



All authors (FL, AM, PV, and HB) initiated and contributed to the design of the study. FL prepared, analysed and interpreted the data. FL and PV independently rated the data of the self-reports and the observer reports. Discrepancies were resolved by discussion with FL, PV and AM. FL wrote the first draft of the manuscript, revised the manuscript along the co-authors feedback and finalized it for submission. FL was responsible for the review process and further revisions of the manuscript along the reviewer feedback. All authors have contributed to the further writing and have approved the final manuscript.

Corresponding author

Correspondence to Frederike Lunkenheimer.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

The study was conducted in accordance with the principles of Good Clinical Practice, the Declaration of Helsinki (, and current ethical standards. Written informed consent is obtained from each participant; for participants under 16 years of age, written informed consent was also obtained from both legal representatives. The central ethical approval of the Ethics Committee of Ulm University was obtained (request number 292/18).

Consent of publication

Not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

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 The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lunkenheimer, F., Mutter, A., Vogelmann, P. et al. Posttraumatic stress symptoms in adolescents and young adults with a chronic somatic disease: a mixed-methods study. Child Adolesc Psychiatry Ment Health 17, 80 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: