DÄ internationalArchive1/2024Childhood Trauma and Somatic and Mental Illness in Adulthood

Background: Childhood trauma is associated with somatic and mental illness in adulthood. The strength of the association varies as a function of age, sex, and type of trauma. Pertinent studies to date have mainly focused on individual diseases. In this study, we investigate the association between childhood trauma and a multiplicity of somatic and mental illnesses in adulthood.

Methods: Data from 156 807 NAKO Health Study participants were analyzed by means of logistic regressions, with adjustment for age, sex, years of education, and study site. The Childhood Trauma Screener differentiated between no/minor (n = 115 891) and moderate/severe childhood trauma (n = 40 916). The outcome variables were medical diagnoses of five somatic and two mental health conditions as stated in the clinical history.

Results: Persons with childhood trauma were more likely to bear a diagnosis of all of the studied conditions: cancer (odds ratio [OR] = 1.10; 95% confidence interval: [1.05; 1.15]), myocardial infarction (OR = 1.13 [1.03; 1.24]), diabetes (OR = 1.16, [1.10; 1.23]), stroke (OR = 1.35 [1.23; 1.48]), chronic obstructive pulmonary disease (OR = 1.45 [1.38; 1.52]), depression (OR = 2.36 [2.29; 2.43]), and anxiety disorders (OR = 2.08 [2.00; 2.17]). All of these associations were stronger in younger persons, regardless of the nature of childhood trauma. Differences between the sexes were observed only for some of these associations.

Conclusion: Childhood trauma was associated with a higher probability of developing mental as well as somatic illness in adulthood. As childhood trauma is an element of individual history that the victim has little to no control over, and because the illnesses that can arise in adulthood in association with it are a heavy burden on the affected persons and on society, there is a need for research on these associations and for the development of preventive measures.

LNSLNS

Childhood trauma has been associated with an increased likelihood of being diagnosed with a multiplicity of somatic and mental illnesses in adulthood, especially with cardiovascular disease, metabolic disease and diseases of the respiratory system, as well as mood and anxiety disorders (1, 2, 3, 4, 5). The term childhood trauma covers emotional, physical and sexual abuse as well as emotional and physical neglect during childhood and adolescence (6, 7). In Germany, 20–30% of adults report having experienced at least one of these childhood traumas (8, 9).

Weleff and Potter (10) discuss three possible ways in which childhood trauma may be associated with somatic diseases in adulthood:

  • poorer health behavior
  • poorer mental health
  • biological changes..

In contrast to behavioral factors, childhood trauma is clearly anchored in time before the onset of disease later in adulthood and those affected have little or no control over it (11). However, the mediation effects of behavioral factors, such as smoking, alcohol consumption and overweight, found so far have been minor (12). In a study by Shields et al. (13), associations between childhood trauma and being diagnosed with diabetes were still observed even when behavioral factors and depression were taken into account.

Pertinent studies to date have shown that the strength of association varies with the nature of childhood trauma and that age at the time of survey and sex are relevant moderators of the association between childhood trauma and disease in adulthood (1, 4). For somatic diseases in general, stronger associations were observed in women than in men (1, 14). By contrast, an association between abuse experienced as a child and myocardial infarction and stroke was mainly reported in men (15, 16). In diabetes, subtype-specific studies, the majority of which focused on type 2 diabetes, showed that the disease was more frequently diagnosed after childhood trauma, with heterogeneous findings with regard to the nature of the trauma (14, 17). While scarce, studies on gestational diabetes indicate similar associations, especially after experiences of abuse (18). Findings on mental illnesses are also inconsistent (1). Experiences of abuse in childhood were associated with more frequent diagnoses of depression in women (3, 19, 20). However, emotional abuse and emotional neglect were found to be sex-independent factors in relation to depression (3, 8).

Comparability of findings to date is hampered by differences in age and sex distributions and a focus on individual diseases. Thus, the aim of our study was to directly compare the associations of various diseases with childhood trauma within one sample. For this purpose, we used data from the baseline survey of the German National Cohort (NAKO Gesundheitsstudie)—the largest population-based survey in Germany (21, 22). Using a cross-sectional design, associations between childhood trauma and somatic and mental illnesses were investigated as a cross-disease comparative basis for disease-specific association studies. The focus was on:

  • Cancer
  • Myocardial infarction
  • Stroke
  • Diabetes
  • Chronic obstructive pulmonary disease (COPD)
  • Anxiety disorders
  • Depression.

Given their increasing incidence rates, the selected diseases have a significant impact on the quality of life of those affected and a high medical need for treatment (11). For instance, cardiovascular disease and cancer rank among the most common causes of death, while mental illnesses cause the most days of incapacity for work and the most cases of early retirement (11).

Methods

Study population

During the NAKO baseline survey between 2014 und 2019, data were collected from > 205 000 adults of the general German population in 18 study centers in 13 federal states (22). For detailed information on sampling, inclusion criteria and study protocols, see Peters et al. (22).

The ethics committees of all study sites approved the study. A written informed consent for participation in the study and data utilization was obtained from all participants. The NAKO health study and all analyses were conducted in accordance with the Declaration of Helsinki.

Interview

Information on the following parameters was obtained by means of a standardized, structured, computer-assisted interview:

  • Age at the time of the NAKO baseline survey (continuous and age groups: age <40 years, 40–60 years and > 60 years)
  • Sex (male/female)
  • Educational attainment of the participants (years of education according to the International Standard Classification of Education; ISCED-97 [23, 24]).

Participants whose years of education could not be calculated were excluded from the analyses (n = 18 719).

In addition, participants stated whether they had “ever been diagnosed by a doctor or psychotherapist” with one of the following illnesses (yes/no):

  • Cancer
  • Myocardial infarction
  • Stroke
  • Diabetes mellitus (hereinafter: diabetes)
  • Chronic bronchitis or chronic obstructive pulmonary disease (hereinafter: COPD)
  • Anxiety disorder or panic attack (hereinafter: anxiety)
  • Depression.

To maintain a focus on cases of type 2 diabetes, participants who were <40 years of age at the time of first diagnosis of diabetes were excluded from the diabetes-related analyses (n = 2 903). There was no additional information available in our study that would allow to reliably identify type 1 diabetes and gestational diabetes.

Childhood trauma

Information about childhood trauma was obtained within a self-response module using the Childhood Trauma Screener (CTS), a brief screening version of the Childhood Trauma Questionnaire (CTQ)(6, 7). This instrument covers five types of trauma with one item each: emotional, physical and sexual abuse as well as emotional and physical neglect.

Responses to these items are given on a five-point scale (“not at all” to “very often”). For each of the items, a distinction was made between no/mild and moderate/severe childhood trauma (25). A global value captured whether at least one moderate/severe childhood trauma was reported, regardless of type. The number of childhood traumas was a measure of how many moderate/severe childhood traumas were reported. The distribution of the number and types of childhood trauma is shown in eTable 1. Participants with missing CTS scores were excluded from the analyses (n = 32 782).

Characteristics of the participants of the NAKO baseline survey (N = 156 807) and stratified by sex and age groups
Table 1
Characteristics of the participants of the NAKO baseline survey (N = 156 807) and stratified by sex and age groups

Statistical analyses

All analyses were performed using the statistical software “R” (version 4.2.1) and are based on the responses of 156 807 participants with available data on years of education and CTS. The probability of the diseases was predicted using multiple logistic regression analyses with robust standard errors and 95% confidence intervals (95% CI). The false discovery rate (FDR) was used to adjust for multiple testing (q-values) (26).

All analyses were adjusted for age at the time of the NAKO baseline survey, sex, years of education, and study site. The study site was used for adjustment of the multicenter survey. (9, 27, 28). Age, sex and education have repeatedly been shown to be major confounders and moderators of the association between childhood trauma and diseases in adulthood (1, 4, 9, 15).

Questions addressing behavioral variables, such as smoking and alcohol consumption, were only asked at the time of the NAKO baseline survey, but not at the time of diagnosis. Consequently, it was not possible to conclusively determine whether these behavior patterns preceded the onset of the disease. For this reason, no adjustment was made initially.

The global, dichotomized CTS score was used as a predictor to assess associations between moderate/severe childhood traumas in general and the selected diseases. Due to missing values for the diseases, the size of the analysis sample varies slightly. In addition, associations with the various types of trauma were investigated, using the dichotomized CTS items. The number of childhood traumas was used as a continuous predictor to assess the impact of multiple adverse childhood experiences. Sex and age interactions were used to test for moderating effects of sex and age. The defined age groups were used for assessing age interactions. The number of cases with myocardial infarction and stroke was very low among participants aged <40 years (n = 9 and n = 48, respectively). This age group was excluded in the corresponding analyses. Sex- and age-stratified analyses were calculated for descriptive purposes.

Results

Table 1 shows descriptive statistics on the data of the participants and stratified by sex and age group. Women and participants aged 40 years and over reported childhood traumas more frequently. One third of participants with childhood trauma reported multiple types of trauma; the combination of emotional and physical childhood traumas was descriptively observed most frequently (eSupplement Table 1). Women reported diagnoses of cancer, anxiety and depression more frequently. Men more frequently reported diagnoses of myocardial infarction and diabetes. Somatic diseases were reported more commonly with older age groups. In contrast, no differences in the frequency of mental illnesses were apparent in the age groups ≥ 40 years.

Based on adjusted logistic regression analyses, the strength of association varied between at least one moderate/severe childhood trauma and one disease, depending on the disease in focus (Figure 1, eFigure 1 and Table 2). With somatic diseases, the probability of diagnosis after at least one moderate/severe childhood trauma was increased by 10–45%: The weakest associations were found for cancer (odds ratio [OR] = 1.10; 95% CI [1.05; 1.15], q-value <0.001), myocardial infarction (OR = 1.13; [1.03; 1.24], q-value = 0.028) and diabetes (OR = 1.16; [1.10; 1.23], q-value <0.001). The associations for stroke (OR = 1.35; [1.23; 1.48], q-value <0.001) and COPD (OR = 1.45; [1.38; 1.52], q-value <0.001) were somewhat stronger. The strongest associations were seen for anxiety (OR = 2.08; [2.00; 2.17], q-value <0.001) and depression (OR = 2.36; [2.29; 2.43], q-value <0.001). Accordingly, the probability of diagnosis of one of these mental illnesses was doubled in participants who had experienced moderate/severe childhood traumas.

Disease frequencies for somatic and mental illnesses
Figure 1
Disease frequencies for somatic and mental illnesses
Main effects, sex and age interactions of childhood trauma with somatic and mental illnesses among participants in the NAKO baseline survey
Table 2
Main effects, sex and age interactions of childhood trauma with somatic and mental illnesses among participants in the NAKO baseline survey
Main effects
eFigure 1
Main effects

Differences with regard to type of trauma are shown in Figure 2 and eSupplement Table 2. For cancer (OR = 0.96 [0.91; 1.03], q-value = 0.743), myocardial infarction (OR = 0.98 [0.87; 1.11], q-value = 1.000) and diabetes (OR = 1.06 [0.98; 1.14], q-value = 0.617), the probabilities of diagnosis were unchanged after physical neglect. By contrast, for stroke (OR = 1.27 [1.13; 1.44], q-value <0.001), COPD (OR = 1.14 [1.07; 1.23], q-value <0.001), anxiety (OR = 1.24 [1.17; 1.32], q-value <0.001), and depression (OR = 1.23 [1.18; 1.29], q-value <0.001), the probability was increased by 14–27%. The strength of the association with abuse and emotional childhood trauma was comparable for both cancer (12–23% higher probability) and stroke (43–59% higher probability). For myocardial infarction (16–52% higher probability), diabetes (20–50% higher probability) and COPD (65–89% higher probability), the strength of association successively increased from emotional neglect to physical abuse to emotional abuse. For mental illness, the associations after emotional childhood trauma were the strongest (approximately 3 times higher probability). A higher number of childhood traumas was associated with a higher probability for all diseases (eSupplement Table 3). Here again, the strength of the associations was weaker for somatic diseases compared to mental illnesses (8–35% higher probability and 67–83% higher probability, respectively).

Odds ratios of moderate/severe childhood trauma for somatic and mental illness
Figure 2
Odds ratios of moderate/severe childhood trauma for somatic and mental illness

Only a few sex differences were observed in the associations between childhood trauma and disease probability (eFigure 2, Table 2, eSupplement Tables 3–9). The probability of being diagnosed with cancer (interaction: OR = 1.13 [1.03; 1.23], q-value = 0.049), COPD (interaction: OR = 1.30 [1.18; 1.44], q-value <0.001), and depression (interaction: OR = 1.14 [1.08; 1.22], q-value <0.001) after childhood trauma was higher in women compared to men. These differences were primarily found for physical childhood trauma (eSupplement Tables 5 and 7). Further sex differences were limited to individual types of trauma (eSupplement Tables 5–9).

Sex interactions
eFigure 2
Sex interactions

For all diseases it was found that the older the participants were at the time of the NAKO baseline survey, the weaker the association between moderate/severe childhood trauma and probability of diagnosis of diseases in adulthood (eFigure 3, Table 2, eSupplement Tables 3 and 10–15). The lowest dependency on age was found for stroke (interaction: χ² = 5.19, q-value = 0.193) and COPD (interaction: χ² = 6.65, q-value = 0.109). The strongest age-dependent effects were observed for depression (interaction: χ² = 108.05, q-value <0.001). These results were also confirmed by the association with the number of childhood traumas (eSupplement Table 3). After physical abuse, age-dependent associations were observed for almost all diseases (eSupplement Table 13). For anxiety and depression, the age differences were least dependent on the type of trauma (eSupplement Tables 11–15).

Age interactions
eFigure 3
Age interactions

Discussion

Based on data of the NAKO health study, we examined the association between childhood trauma and probability of diagnosis of selected somatic and mental illnesses in adulthood. It was found that the associations with mental illnesses were stronger than with somatic illnesses. In addition, it was analyzed whether these associations were dependent on sex, age at the time of the NAKO baseline survey and type of childhood trauma.

In line with the findings of previous meta-analyses, the strongest associations were found between emotional childhood trauma and depression, while the associations between depression and sexual or physical abuse were weaker (20). While no difference between the sexes had been found earlier for diagnoses of depression after emotional childhood trauma (3), we found an increased probability of depression in women after physical abuse in this study. The association between depression and sexual abuse in childhood was stronger in men. Overall, however, our findings confirm the results of a meta-analysis which found only minor differences between the sexes (12). No difference between men and women was observed for the association between anxiety disorder and childhood trauma. In women, an increased probability of COPD was noted after neglect and physical childhood trauma. Only isolated analyses found sex differences for stroke and myocardial infarction.

For all diseases evaluated, the association between childhood trauma and probability of diagnosis was weaker for older participants of the NAKO baseline survey than for younger ones. The age differences were largest for depression and smallest for COPD and stroke. The results could indicate that the closer the onset of the disease is to the time of traumatization, the more strongly childhood trauma is associated with a diagnosis. For instance, the age at onset of depression is typically in early adulthood (29). By contrast, the frequency of COPD increases with increasing age (30). Furthermore, it was reported that childhood trauma was associated with younger age at the time of first diagnosis of depression (1, 3). Given the differences in age at the onset of the disease, the subtypes of diabetes provide a good opportunity to evaluate this hypothesis within one disease group. However, diabetes subtype-specific studies on associations with childhood traumas have rarely been conducted. A second factor which may play a role is the increase in number and severity of comorbidities in older age (31). As a result, the association between childhood trauma and probability of diagnosis of a specific condition may be weaker with older age at onset of disease. Thus, future studies should take comorbidities into account.

In addition to an increase in disease incidence and a younger age at onset of disease, increased severity of the disease course was observed after childhood trauma (1, 3, 4, 13). For example, childhood trauma was associated with increased mortality (32). In Germany, cancer and cardiovascular disease have the highest annual mortality rates, while depression is associated with the highest number of sick days and early retirements (11). Depression is a common comorbidity of mental as well as somatic illnesses (33). In adulthood, the annual financial burden on the health care system is more than doubled by depression (34). According to German insurance data, each depression is responsible for an additional burden of EUR 3000 in the first year of diagnosis and of EUR 1500 in the following years (35). By preventative programs and early support for those affected, it may be possible to lower the probability of later disease (36, 37). But even with existing disease, treatment of childhood trauma could improve the individual quality of life and prognosis of the disease.

Limitations

Limitations include the fact that subjective self-reported data were used to determine the presence of childhood trauma and that each type of trauma was represented by only one item. Some participants had to be excluded because of missing childhood trauma data. However, the missing information was not limited to individual items (9). Given the retrospective nature of the self-reported information, bias due to memory effects or current mental symptoms cannot be ruled out. According to studies, however, both over- and underestimation have been observed for childhood trauma, depending on the current state of health and personality traits; consequently, bias in both directions should be assumed (38, 39).

The medical lifetime diagnosis of somatic and mental illnesses was also recorded based on self-report data. Neither the age at onset of the disease nor its current treatment or current severity were taken into account. There is a need for further analysis with the inclusion of this information. In addition, the spectrum of mental illnesses represented is rather small. The NAKO dataset does not contain information about additional physician-diagnosed mental illnesses. At the time of the NAKO baseline survey, participants were questioned about behavioral factors, such as smoking, alcohol consumption and overweight. It is difficult to relate these factors to the time of first diagnosis. Consequently, it cannot be determined whether these factors actually preceded the onset of disease. We therefore did not include unhealthy behaviors as potential mediators in our analysis. Future studies, taking this temporal relationship between behavioral factors and disease into account, should include differentiated subgroup analyses to test such mediation hypotheses.

Conclusion

The aim of our study was to investigate the association between childhood trauma and somatic and mental illnesses in adulthood. The NAKO health study offers the opportunity to analyze these associations within the same sample and thus to directly compare these diseases with each other. The focus was on conditions with a high personal and social burden of disease. In future research, these findings should be expanded by investigating further disorders and diseases, especially in the area of mental health, and be supplemented by analyses of somatic and psychological comorbidity, and potential mediation effects. In accordance with the aim of this study, an initial cross-disease comparative overview of the investigated associations was provided. Disease-specific studies should build on these findings and deepen the insights gained.

Conflict of interest statement

TP is a member of the board of NAKO e.V. and authorized representative of the Max Delbrück Center (MDC) in NAKO e.V.

The remaining authors declare no conflict of interest.

Financial support

The German National Cohort (NAKO) Study is funded by the Federal Ministry of Education and Research (01ER1301A/B/C and 01ER1511D), the German federal states and the Helmholtz Association. The Helmholtz Association supports the NAKO Health Study through program-oriented funding (PoF) III and IV. Additional financial support comes from the participating universities and the Leibniz Association.

Manuscript received on 10 July 2023; revised version accepted on 10 October 2023.

Translated from the original German by Ralf Thoene, MD.

Corresponding author
Dipl. Psych. Johanna Klinger-König
Klinik für Psychiatrie und Psychotherapie, Universitätsmedizin Greifswald
Ellernholzstraße 1–2, 17489 Greifswald, Germany
johanna.klinger-koenig@med.uni-greifswald.de

Cite this as:
Klinger-König J, Erhardt A, Streit F, Völker MP, Schulze MB, Keil T, Fricke J, Castell S, Klett-Tammen CJ, Pischon T, Karch A, Teismann H, Michels KB, Greiser KH, Becher H, Karrasch S, Ahrens W, Meinke-Franze C, Schipf S, Mikolajczyk R, Führer A, Brandes B, Schmidt B, Emmel C, Leitzmann M, Konzok J, Peters A, Obi N, Brenner H, Holleczek B, Moreno Velàsquez I, Deckert J, Baune BT, Rietschel M, Berger K, Grabe HJ: Childhood trauma and somatic and mental illness in adulthood—findings of the NAKO health study. Dtsch Arztebl Int 2024; 121: 1–8. DOI: 10.3238/arztebl.m2023.0225

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Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany: Dipl. Psych. Johanna Klinger-König, Prof. Dr. Hans J. Grabe
Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany: Prof. Dr. Klaus Berger
German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald , Greifswald, Germany: Prof. Dr. Hans J. Grabe
*Additional authors have contributed to this publication. They are listed under “cite this as” and at the end of this article together with their affiliations.
Additional authors
Angelika Erhardt, Fabian Streit, Maja P. Völker, Matthias B. Schulze, Thomas Keil, Julia Fricke, Stefanie Castell, Carolina J. Klett-Tammen, Tobias Pischon, André Karch, Henning Teismann, Karin B. Michels, K. Halina Greiser, Heiko Becher, Stefan Karrasch, Wolfgang Ahrens, Claudia Meinke-Franze, Sabine Schipf, Rafael Mikolajczyk, Amand Führer, Berit Brandes, Börge Schmidt, Carina Emmel, Michael Leitzmann, Julian Konzok, Anette Peters, Nadia Obi, Hermann Brenner, Bernd Holleczek, Ilais Moreno Velásquez, Jürgen Deckert, Bernhard T. Baune, Marcella Rietschel
Affiliations of the additional authors
Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany: Prof. Dr. Angelika Erhardt, Prof. Dr. Jürgen Deckert
Max Planck Institute of Psychiatry, Munich, Germany: Prof. Dr. Angelika Erhardt
Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany: Dr. Fabian Streit, M.Sc. Maja P. Völker, Prof. Dr. Marcella Rietschel
Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany: Prof. Dr. Matthias B. Schulze
Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany: Prof. Dr. Matthias B. Schulze
Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Berlin, Germany: Prof. Dr. Thomas Keil, Dr. Julia Fricke
Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany: Prof. Dr. Thomas Keil
State Institute of Health I, Bavarian State Office for Health and Food Safety, Erlangen, Germany: Prof. Dr. Thomas Keil
Department of Epidemiology, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany: Dr. Stefanie Castell, Dr. Carolina J. Klett-Tammen
Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany: Prof. Dr. Tobias Pischon, Dr. Ilais Moreno Velásquez
Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany: Prof. Dr. Tobias Pischon
Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany: Prof. Dr. Tobias Pischon
Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany: Prof. Dr. André Karch, Dr. Henning Teismann
Institute for Prevention and Tumor Epidemiology, Medical Center—University of Freiburg, Medical Faculty, Albert Ludwigs University of Freiburg, Freiburg, Germany: Prof. Dr. Dr. Karin B. Michels
Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany: Dr. K. Halina Greiser
Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg, Germany: Prof. Dr. Heiko Becher
Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich; Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany: Dr. Stefan Karrasch
Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany: Dr. Stefan Karrasch, Prof. Dr. Anette Peters
Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany: Prof. Dr. Wolfgang Ahrens, Dr. Berit Brandes
Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany: Dr. Claudia Meinke-Franze, Dr. Sabine Schipf
IInstitute of Medical Epidemiology, Biometry and Informatics, Profile Center Health Sciences, Medical School, Martin Luther University Halle-Wittenberg, Halle, Germany: Prof. Dr. Rafael Mikolajczyk, PD Dr. Amand Führer
German Center for Mental Health (DZPG), Jena-Magdeburg-Halle Site, Halle, Germany: Prof. Dr. Rafael Mikolajczyk
Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Halle, Germany: Prof. Dr. Rafael Mikolajczyk
Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Medicine Essen, Essen, Germany: Prof. Dr. Börge Schmidt, Dr. Carina Emmel
Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany: Prof. Dr. Dr. Michael Leitzmann, Dr. Julian Konzok
Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, LMU—Ludwig-Maximilians-Universität München, Munich, Germany: Prof. Dr. Anette Peters
German Center for Mental Health (DZPG), Munich site, Munich, Germany: Prof. Dr. Anette Peters
Central Institute for Occupational Medicine and Maritime Medicine (ZfAM,) University Medical Center Hamburg-Eppendorf, Hamburg, Germany: Dr. Nadia Obi
Division of Preventive Oncology, German Cancer Research Center (DKFZ), Saarbrücken, Germany: Prof. Dr. Hermann Brenner
Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Saarbrücken, Germany: Prof. Dr. Hermann Brenner
Saarland Cancer Registry, Saarbrücken, Germany: PD Dr. Bernd Holleczek
Department of Psychiatry, University Hospital Münster, Münster, Germany: Prof. Dr. Bernhard T. Baune
Disease frequencies for somatic and mental illnesses
Figure 1
Disease frequencies for somatic and mental illnesses
Odds ratios of moderate/severe childhood trauma for somatic and mental illness
Figure 2
Odds ratios of moderate/severe childhood trauma for somatic and mental illness
Characteristics of the participants of the NAKO baseline survey (N = 156 807) and stratified by sex and age groups
Table 1
Characteristics of the participants of the NAKO baseline survey (N = 156 807) and stratified by sex and age groups
Main effects, sex and age interactions of childhood trauma with somatic and mental illnesses among participants in the NAKO baseline survey
Table 2
Main effects, sex and age interactions of childhood trauma with somatic and mental illnesses among participants in the NAKO baseline survey
Main effects
eFigure 1
Main effects
Sex interactions
eFigure 2
Sex interactions
Age interactions
eFigure 3
Age interactions
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