Abstract
Background
Depression is a significant health and economic burden worldwide affecting not only adults but also children and adolescents. Current treatment options for this group are scarce and show moderate effect sizes. There is emerging evidence that dietary patterns and specific nutritional components might play a role in the risk for developing depression.
This study protocol focusses on the role of vitamin D which is for long known to be relevant for calcium and phosphorous homeostasis and bone health but might also impact on mental health. However, the assessment of the vitamin D status of depressed juvenile patients, or supplementation of vitamin D is currently not part of routine treatment. Controlled intervention studies are indispensable to prove whether a vitamin D deficiency ameliorates depressive symptoms.
Methods/design
This double blinded, randomized controlled trial will enroll 200 inpatients from a child and adolescent psychiatric department with a vitamin D deficiency defined by a 25(OH)-vitamin D-level < 30 nmol/l (12 ng/ml) and a Beck Depressions Inventory (BDI-II) score > 13 (indicating at least: mild depression). Upon referral, all patients will be screened, checked for inclusion criteria, and those eligible will be randomized after written consent into a supplementation or placebo group. Both study-arms will receive treatment-as-usual for their psychiatric disorder according to established clinical guidelines. The participants of the vitamin D supplementation group will receive 2640 I.E. vitamin D3 q.d. for 28 days in accordance with best practice in pediatric endocrinology. We hypothesize that delaying supplementation of vitamin D in the placebo arm will affect the treatment success of the depressive symptomatology in comparison to the vitamin D supplementation group. Patients will be enrolled for a period of 28 days based on the mean length of hospitalization of juveniles with depression.
Discussion
Randomized controlled trials in children and adolescents with depression are needed to elucidate the role of a vitamin D deficiency for mental disorders and to investigate the relevance of a routine assessment and supplementation of vitamin D deficits.
Trial registration
DRKS00009758, 16/06/2016 (retrospectively registered).
Keywords: Vitamin D, Depression, Mental health, Children & Adolescents
Background
Depression is worldwide a leading cause of health and economic burden [1]. Efforts to improve depression outcomes substantially have failed thus far [2, 3], suggesting that factors not considered yet might influence risk, pathogenesis and persistence of depressive disorders. Consequently investments in additional options to current multimodal therapies are needed [4, 5]. Accumulating evidence suggests that lifestyle factors such as diet quality [6], but also physical activity [7] might contribute as risk or risk-mitigation factors, respectively to mental health issues in general [8] and depression specifically [9, 10]. Apart from a potentially promising adaptation to an overall healthier diet [11, 12] and life-style, some nutritional components [13] such as vitamin D might play an important role for mental health [14].
The term “vitamin D” subsumes several structurally related pleiotropic secosteriod hormones, which are usually not further sub-classified [15]. Vitamin D plays a dual role as hormone and fat-soluble vitamin, regulating the expression of more than 900 genes [16, 17] via binding to the vitamin D receptor (VDR) a steroid hormone receptor [18]. Vitamin D plays a key role in calcium and phosphorus homeostasis [15], bone health [19] and various cellular and neuromuscular functions [15]. The vitamin D receptor and vitamin D metabolizing enzymes are expressed in the brain [20, 21]. Due to its pleiotropic function vitamin D is also involved in signaling cascades and neurobiological pathways [20], which may affect mental health. The active metabolite 1,25(OH)2D3 is thought to modulate the differentiation and maturation of dopaminergic neurons [22] and to affect brain serotonin concentrations [20, 23]. Low vitamin D status is associated with a range of adverse neuropsychiatric outcomes [24–32]. In particular, population based epidemiological and clinical studies showed an association of low 25(OH)-vitamin D serum levels (25(OH)D) with depressed mood [14, 26, 33]. Thus “sub-optimal 25(OH)D levels” may precipitate mental disorders [34, 35] and achievement/restoration of “optimal levels” may foster mental health and offer potentially a treatment option. However, the definition of the “optimal-level” of 25(OH)D, is still under discussion [36] since all currently pursued cut-offs are related to bone health outcomes [37] and based on suppression of PTH levels [38] with no evidence available with respect to an “optimal-level” for mental health [20]. The Institute of Medicine (IoM) defines 25(OH)D levels > 50 nmol/l (equals 20 ng/ml) as sufficient, whereas levels of 30–50 nmol/l or < 30 nmol/l are classified as at risk for inadequacy or as at risk for deficiency [37, 39]. In general many cofactors influence the vitamin D status [14, 40]. Apart from seasonal [41] and other environmental factors the risk of vitamin D insufficiency is also influenced by genetic factors. Two genome-wide association studies (GWAS) of 25-hydroxyvitamin D levels revealed genome wide associations for Single Nucleotide Polymorphisms (SNPs) at five gene loci (GC, DHCR7/NADSYN1, CYP2R1, CYP2R2, CYP24A1) [42, 43] and a more recent GWAS in a Punjabi Sikh population replicated three out of the five known loci and discovered a new one between FOXA2 and SSTR4 [44].
Results from observational studies suggest a subtle but beneficial role of vitamin D in several mental health conditions in childhood and adolescence. Most studies including children and adolescents resort to Attention Deficit Hyperactivity Disorder (ADHD) or Autism Spectrum Disorders (ASD). However, randomized controlled trials are lacking [14]. In adults 21 RCTs could be identified by a literature search based on adults with depression (for details see [14]). Although the results from these studies are not directly transferable to childhood or adolescence, the overall findings as well as common limitations in the study designs of the studies in adults should be considered for future studies on depression in children and adolescents. Some common limitations of the identified studies in adults were remarkable: baseline 25(OH)D levels were not reported in some studies, not all studies included a placebo group and/or psychiatric patients with depressive symptoms. Moreover study populations, vitamin D supplementation doses and lengths of intervention were quite different (for details see [14]).
Most of the reported moderate to strong inverse relationships between 25(OH)D levels and several somatic diseases (cardiovascular diseases, diabetes, etc.) from prospective cohort studies in adults were only poorly supported (little to no effects) by interventional vitamin D supplementation studies [45]. These missing effects in randomized controlled trials could be due to reverse causality, i.e. that low vitamin D levels are not the cause, but rather a consequence of a general ill health status and inflammatory processes which -in turn- play a role in the occurrence of the examined diseases [45–47]. This hypothesis is currently vividly debated [48–50]. It is currently also discussed whether it might be impossible to correct pathologic processes through vitamin D supplementation in adulthood which were potentially caused by vitamin D deficiency in early life [50]. Considering the rapid brain development during childhood, which extends into later stages of adolescence [51], we hypothesize that in the context of vitamin D a focus on children and adolescents is especially meaningful with respect to potential therapeutic effects on mental disorders.
This article presents the study protocol for the trial: “Effect of an untreated vitamin D deficiency on depressive symptoms in child and adolescent psychiatric patients – a randomized controlled trial” [German Clinical Trial Registry Code: DRKS00009758]. This is a randomized, placebo controlled trial aiming to investigate the effect of a vitamin D deficiency on an inpatient psychiatric treatment of depressive symptoms in children and adolescents.
We hypothesize that psychiatric treatment in patients, in whom vitamin D deficiency is corrected without time-delay (treatment group) is more effective to reduce depressive symptoms, than in patients with untreated vitamin D deficiency.
Methods
Study design
The study is set up as a 28 days (based on the mean length of hospitalization of juveniles with depression), parallel group, double-blind, randomized, placebo-controlled trial to investigate the effect of an untreated vitamin D deficiency (placebo arm) on depressive symptoms in child and adolescent psychiatric patients.
We are currently enrolling 200 participants at one study site, the Department of Child and Adolescent Psychiatry, University Hospital Essen, University of Duisburg-Essen, Essen, Germany. In total, recruitment, intervention, and database lock are anticipated to be finalized within a two years period after First-Patient-First-Visit (FPFV).
Patients with a vitamin D deficiency, who meet the inclusion criteria (see below) and consented to the study will be randomized to receive either 2640 I.E. vitamin D q.d. based on recommendations for treatment of vitamin D deficiency in patients with chronic diseases (REF) or placebo on top of treatment-as-usual (TAU). Participants will be assessed psychometrically prior to study start and after 28 days with the self-rated Beck-Depression-Index –II [52] (BDI-II; selected instrument for inclusion criteria and primary endpoint) and additional psychological instruments (Table 1).
Table 1.
Investigated item | Psychometric and sociometric questionaires/instruments | Executed /completed by | Time point(s) | Reference |
---|---|---|---|---|
Depression | BDI-II | Patient | Baseline, and end of study | [83] |
Depression | DISYPS-II DES SBB | Patient | Baseline and end of study | [84] |
Depression | DISYPS-II DES FBB | Parents | Baseline and end of study | [84] |
Intelligence and mental development status | IQ,HAWIK, CFT, Son-R | Patient | Baseline | [85] |
Structured Interview for clinical diagnosis | KIDDIE-SADS-PL | Clinical interviewer | Baseline | [66, 86] |
Impulsivity | BIS | Patient | Baseline and end of study | [87] |
Problem behaviors | CBCL | Parents | Baseline | [88, 89] |
Problem behaviors | YSR | Patient | Baseline | [88] |
Socioeconomic status | SES (KiGGS) | Parents | Baseline | [90] |
Vitamin D status related questionnaire | SUN EXP QUEST | Patient | Baseline | [91, 92] |
Habitual food and nutrient intake | FFQ | Patient | Baseline | [54] |
Physical Activity | IPAQ | Patient | Baseline | [62] |
Abbreviations BIS Barrett Impulsivity Scale, CBCL Child Behavior Checklist, YSR Youth Self Report, TRF Teacher’s Report Form, CFT Culture Fair Intelligence Test, KIDDIE-SADS-PL Kiddie Schedule for Affective Disorders and Schizophrenia for School Aged Children Present Lifetime version (Semi-structured diagnostic interview), DISYPS-II Diagnostic System for Mental Disorders in Childhood and Adolescence (Questionnaire), FFQ Food Frequency Questionaire, HAWIK Hamburger Wechsler Intelligence Test for Children, IPAQ International Physical Activity Questionnaire, SON-R Snijders-Oomen Non-verbal Intelligence Tests, SES Socioeconomic status module from the KIGGS nation-wide German Health Interview and Examination Survey for Children and Adolescents (KiGGS), SUN EXP QUEST Sun Exposure Questionnaire
At the end of the study (after 28 days) all patients (placebo and verum) are recommended to substitute 1000 I.E. vitamin D per day - in case of persisting deficiency - for the following eleven months.
Study aims
Within this two-armed, double-blind, randomized controlled trial we aim to test the hypothesis that moderate to severely depressed children and adolescents (BDI-II sum score at admission > 13) with a vitamin D deficiency (25(OH)-D3 level < 30 nmol/l [equivalent to < 12 pg/ml]) who will be treated as usual, but will not be supplemented with vitamin D (placebo arm) for a period of at maximum 28 days, will end-up with a significantly higher BDI-II sum score, than those immediately supplemented with 2640 I.U. vitamin D3 q.d. (verum arm). The assessment of the vitamin D status is not part of current routine diagnostic in clinical psychiatric departments or psychiatric offices. This study is to the best of our knowledge the first randomized controlled trial (RCT) investigating the effect of watchful waiting with regard to vitamin D supplementation in children and adolescent inpatients with an elevated depression score. The primary outcome parameter is the BDI-II sum score. Secondary outcome parameters encompass the 25(OH)-D levels from baseline to study end as well as impulsiveness and depressive symptoms assessed with parent- and self-rating instruments.
Participant eligibility
Inclusion criteria
Eligible participants will be recruited from the clinical sample seeking elective treatment as inpatients or in the clinical day-care unit of the Department of Child and Adolescent Psychiatry, University Hospital Essen, University of Duisburg-Essen, Essen, Germany. Eligible participants need to score above 13 in the self-rated Beck-Depression-Index–II (BDI-II), which is the threshold for a mild depression. Patients additionally must have a 25(OH)-Vitamin D3 blood serum level < 30 nmol/l (equivalent to 25(OH)-Vitamin D3 < 12 pg/ml).
The eligibility criteria include participants of both genders aged from 11.0 to 18.9 years and capable of providing written informed consent. For participants below 18 years of age, written informed consent must also be provided by parents or assigned foster parents, respectively. All patients are informed that participation is totally voluntary.
Exclusion criteria
Exclusion criteria include: a concurrent diagnosis of a severe somatic disease, (ascertained by the assessment of the medical history and medical examination at inpatient admission), renal disease, hypocalcemia and/or a blood plasma parathyroid hormone (PTH) level > 130 ng/ml, mentaI retardation (IQ < 70). Patients, who present with vitamin D deficiency and established hypocalcemia or PTH level > 130 ng/ml in the recruitment phase, will be excluded, referred to pediatric endocrinology for further assessment and treatment, including initiation of immediate treatment with vitamin D3.
Sample recruitment
Study participants will be recruited from the clinical sample eligible for elective inpatient or day-care treatment in the Department of Child and Adolescent Psychiatry, University Hospital Essen (see Fig. 1). Consent will be obtained by the admitting physician. Eligibility will be assessed within the first two days after hospital admission.
Study procedure
The study is currently ongoing and scheduled for a duration of about two years and commenced with the “First-Patient-First-Visit” on June 15th 2016.
Screening assessment
Potentially eligible patients, who present to the University Duisburg-Essen Department of Child and Adolescent Psychiatry and who will be scheduled for hospital admission, will be informed about the ongoing study by a physician. If patients and parents are interested in an enrolment into the study and sign the written consent, patients will be asked to complete the BDI-II questionnaire [52] on the day of admission as the “primary endpoint intstrument” as well as the other psychological instruments as specified in Table 1. On the day of admission serum/plasma levels of 25(OH)D, calcium and parathyroid hormone will be determined in addition to the the clinical routine lab work.
Medical and psychiatric history will be obtained by the admitting physician to ensure eligibility. In this context the auxiologic parameters body height, weight, BMI and Tanner status [53] will be assessed and recorded as well as basic clinical parameters (e.g. blood pressure).
Potential participants and their parents will be asked to complete several psychometric and sociometric questionnaires, and for assessment of dietary intake a food frequency questionnaire (FFQ) [54], which was specifically designed to assess the food and nutrient intake with a particular focus on fatty acids of school-aged children in Germany and a questionnaire regarding several questions to explore factors influencing the vitamin D status as e.g. time spent outdoors and sun-shield use (see Table 1). In addition, the status of omega-3 long-chain fatty acids (n-3 LC-PUFA) in erythrocytes [55, 56], will be determined at baseline [57, 58]. First studies have shown reduced n-3 LC-PUFA levels in depressed adolescents in contrast to healthy matched controls [56].
Randomization and blinding
Children and adolescents meeting the above described eligibility criteria will be randomized as early as the third day, but at latest on the fifth day after admission for inpatient treatment. The study nurse under supervision of the principal investigator will transmit the following data to the Institute for Medical Biometry und Epidemiology (IMBE), Philipps-University Marburg, Marburg, Germany: pseudonymized patient code; BDI-II total score and 25(OH)D serum level. The IMBE will perform a block-wise randomization procedure and return a randomization code back to the study center which triggers the selection of the accordingly coded pill dispenser, which contains(blinded-mode) either vitamin D or identically looking placebo pills. The randomization is balanced for two BDI-II strata (total score values 14–23 and equal or greater than 24, respectively) and two 25(OH)D strata (25(OH)D < 12.5 nmol/l and 25(OH)D between 12.5–30 nmol/l). For 200 participants scheduled in total for randomization, the company Dr. B. Scheffler Nachf. GmbH & Co.KG (Bergisch Gladbach, Germany) has supplied 120 pill dispensers (100 for the protocol and 20 for losses/eventualities) with three times thirty vitamin D pills (dose strength: 880 I.E. per pill) and 120 dispensers with three times thirty identically looking placebos. These supplies will be sufficient for the planned 28 days of dosing with 2640 I.E. of vitamin D per day. The block-randomization code was generated prior to study start by the IMBE and sent to the company for an appropriate labeling of the pill dispensers.
Study conditions
Vitamin D supplementation and placebo group
Vitamin D3 or placebo will be provided through pill dispensers to the patients (2640 I.U. as three pills). The pill dispensers labeled with the randomization code and containing either verum or placebo will be stored on the ward. The ward nurse will dispense the pills to the patients, matching the labeled dispenser with the patient’s randomization number every morning right after breakfast.
All participants will be treated for their respective disorders according to best clinical practice and existing treatment guidelines. There will be no separation or other special treatment of study participants as compared to other inpatients apart from the daily dispensing of study supplements and the recording of data within the CRF in addition to the standard patient records.
Data collection and outcome measures
Blood samples and a spot urine sample will be collected in the Department of Child and Adolescent Psychiatry as part of the clinical routine at admission. After written consent is obtained, the aliquots will be transferred at 4° within an hour after collection according to documented and approved standard operation procedures (SOPs) to the central laboratory of the University Hospital Essen. 25(OH)vitamin-D3, PTH and serum calcium levels will be measured and reported on the same day to a pediatric endocrinologist for approval. In addition electrolytes (including calcium), the differential blood count (DBC), thyroid-stimulating hormone level, inflammatory markers, liver and renal parameters, and alkaline phosphatase will be analyzed and reported.
Data for eligible participants will be transferred to the study nurse for further processing and inclusion into the CRFs. Remaining aliquots of blood samples and urine will be stored in at − 80 degree until further analyses. Planned assays are related to neutrophines, metabolites and hormones involved in metabolic signaling cascades. In case of consent from study participants and parents, DNA/RNA will be retrieved and stored for potential follow-up investigations of genetic variants and expression profiles of vitamin D metabolism related genes and gene products, respectively.
All applied psychometric instruments, sociometric questionnaires and outcome measures are displayed in Table 1. Depressive symptom severity is assessed as part of the screening by means of the BDI-II (self-rating) at the first visit to the clinic. At admission, clinical data including blood pressure and heart rate, use of medication and/or drugs (incl. Alcohol, smoking), puberty status according to Tanner [53], and auxiologic parameters (body height, body weight, and height and weight at birth) will be recorded. On the second day patients will meet with a therapist and the study nurse for a psychiatric interview and the completion of psychometric questionnaires. Patients will be asked to complete the BDI-II/ DISYPS-II -DES [52, 59] and the Barratt Impulsiveness Scale (BIS-11) [60]. Within the first week of hospitalization they will also be guided and asked to complete the CBCL (German version for school-aged children and adolescents of the Child Behavior Checklist [61]), Youth Self Report (YSR; German version [61] for patients and parents) and the International Physical Activity Questionnaire (IPAQ) [62]. The amount of sunlight exposure and outdoor activity will be assessed with a specialized questionnaire [63]. In order to study dietary habits and overall nutrition behavior as potential impact factors on mental health and co-variables for this study a Food Frequency Questionnaire FFQ [64] will be conducted.
Parents will be asked to answer questionnaires regarding their socioeconomic status (SES) [65].
The results of the initial clinical evaluation is then presented to a physician for children and adolescents psychiatry, who subsequently conducts a 30 to 60-min diagnostic evaluation according to DSM-IV criteria by means of the K-SADS-PL [66]. Within this session the medical history (psychiatric and somatic diagnoses) and previous treatment history will be obtained. Eligible patients will be randomized at the earliest and latest at day three and five after admission.
At the end of the study (at day 28 of the intervention) participants will complete the BDI-II/ DISYPS-II -DES [52, 59] and additional instruments as depicted in Table 1. A blood sample for the determination of 25(OH)D levels will be obtained. The same procedure will be applied – if possible and accepted by the participant – in case of premature study end (drop-out for any reason). In case of discharge from hospital before 28 days, participants will be asked to continue supplementation with the handed-out pill dispensers in the scheduled manner. These outpatient participants will be followed-up weekly by phone and asked to show up for the end-of-study examination at day 28 after study start.
A technical plausibility and completeness check of the data will be performed after data entry by a non-scientific assistant at the Institute for Medical Biometry und Epidemiology, Philipps-University Marburg (IMBE).
Data management
The ethical principles of the data handling and integrity were discussed with and approved by the Institutional Review Board (IRB). During the study a dedicated study nurse, supervised by the principal investigator, is responsible for completion and storage of the case record forms (CRFs). Hard copies of the CRFs are kept in a separate and secured filing cabinet within the department/study site. Data entry into the password protected study database is performed by the study nurse as well.
Study integrity
The study has been designed and will be conducted and reported in accordance with SPIRIT STATEMENT [67] and was registered (DRKS00009758) in “The German Clinical Trials Register” [68].
Sample size
We intend to recruit 200 participants. The sample size calculation was based on the study report by Mozaffari-Khosravi et al. [69] as the most comparable RCT. They applied the BDI-II as primary outcome measure in a population of adult depressed patients and observed a difference of four BDI-II score points between treatment arm (single dose vitamin D; 150 I.E.) and control group. Since the study was conducted in adults, we further looked for RCTs in adolescents with major depressive disorders, irrespective of vitamin D as the treatment item [70, 71], revealing a standard deviation of nine BDI-II score points as input for the sample size calculation, which yielded finally a sample size of 81 participants (two-sided t-test; alpha = 0.05; powered at 80% to detect a true difference). Attrition [72] was assumed to be 20%, demanding a recruitment of 100 participants per intervention arm.
Data analyses and statistical hypothesis
Analysis of the data will be conducted by a researcher blinded to the treatment condition. All statistical analyses will be performed after database-lock with “R” (www.r-project.org) at the Institute for Medical Biometry und Epidemiology (IMBE), Philipps-University Marburg, Marburg, Germany.
The main hypothesis of this study is, that treatment of depressive symptoms results in significantly lower improvement of BDI-II scores in the group of patients with vitamin D deficiency (placebo group) than in the supplementation group (verum group). The statistical hypothesis to be tested for the mean BDI-II score in the verum arm versus the placebo arm after 28 days of supplementation:
Null hypothesis: H0: BDI-IIverum = BDI-IIplacebo.
Alternative Hypothesis: H1: BDI-IIverum unequal BDI-IIplacebo.
A covariance analysis (ANCOVA) will be performed to contrast the outcome of the primary endpoint BDI-II in both intervention arms (two-sided level of significance; alpha = 0.05) in the Intention-To-Treat (ITT) population. The following co-variables will be considered: BDI-II at admission, 25(OH)D level at admission, age, and sex. Missing values will be considered via Last-Observation-Carried-Forward (LOCF) data, as far as available. Several sensitivity analyses will be conducted to prove for robustness, encompassing a per protocol analysis.
The secondary endpoint 25(OH)D and PTH levels will also be analyzed in the ITT population via an ANCOVA with the co-variables: 25(OH)D level at admission, age, and sex.
Further sensitivity analysis will be performed e.g. non-parametric analysis where patients with missing data will be set to lowest or highest ranks and repeated measure models will be applied. to hopefully confirm the results.
Discussion
Depressive disorders in childhood and adolescents are devastating and may affect the whole lifespan [73]. Treatment options for this age group are scarce [74, 75] and show only low to medium effect sizes [76, 77]. The drug development pipeline for psychiatric disorders is rather dry and no breakthroughs – especially not for the young population – can be expected in due time [78]. Driven by the medical need and the search for benign, complementary options, lifestyle management strategies including physical activity, healthier diets [13, 11] and strategies for vitamin supplementation [79] appear on the scene and should be scientifically and clinically investigated according to best practices [79].
Based on findings from observational studies one promising option to improve depressive symptoms is a supplementation with vitamin D. However RCTs in young psychiatric patients have not been performed [14]. Several of the reported RCTs in adult depression revealed methodological issues and biological flaws as brought to attention by Spedding [80], who found positive results only in cases of baseline 25(OH)D levels below current cut-offs and clinically diagnosed mental disorders: In studies without biological flaws, a statistically significant improvement in depression with vitamin D supplements [SMD = 0.78; 95 CI (0.24, 1.27)] was found, whereas in studies with biological flaws a worsening in depressive symptoms [SMD = − 1.1; 95 CI (− 0.7, − 1.5)] was found (p values were not reported). Surprisingly, many studies neither considered a pronounced vitamin D deficiency nor a clearly defined disease status, which might have led to biased conclusions. Thus RCTs focusing on effects of vitamin D in well defined, homogenous groups [45–47] of children and adolescencets with mental disorders are of substantial importance to clarify the importance of the vitamin D status on mental health.
The current study aims to increment the evidence base. Since this study was set-up to prove the effect of untreated vitamin D deficiency within a clinical setting with potentially limited hospitalization time, the intervention duration of 28 days is seen as a potential limitation and risk for the study outcome. However, in case of success this clinical setting might have an even higher impact on treatment strategies for the sake of children and adolescents with depressive disorders.
Acknowledgements
The authors would like to thank, the company Dr. B. Scheffler Nachf. GmbH & Co. KG, Bergisch Gladbach, Germany, for providing the supplements (vitamin D and placebo) free of charge.
Availability of data and material
Not applicable.
Funding
The authors received no funding for this study.
Authors’ contributions
MF, JA, JH, NT, LL, DF and CG conceptualized and designed the study, as well as drafted the intervention content and paradigms. JA, MF and LL drafted this manuscript. All authors critically reviewed its content and approved the final version for publication.
Ethics approval and consent to participate
The study was designed and is being conducted according to the latest version of the Declaration of Helsinki [81] and Good Clinical Practice (ICH-GCP (E6)) [82]. The Institutional Review Board (“Ethik-Kommission der Medizinischen Fakultät der Universität Duisburg-Essen”) of the University Duisburg- Essen gave ethical approval (project approval number: 15–6363-BO) to study design, content and recruitment plans. Written informed consent is being obtained from all enrolled participants and their parents (in case participant is younger than eighteen years) after they had the opportunity to ask all open questions and received a satisfying answer from the study researcher.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interest. Dr. B. Scheffler Nachf. GmbH & Co.KG, Bergisch Gladbach, Germany, confirms that it exerts no influence on the results and the evaluation and assessment of the study “Effect of an vitamin D deficiency on depressive symptoms in child and adolescent psychiatric patients – a randomized controlled trial”.
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Contributor Information
Manuel Föcker, Phone: +49(201)8707-485, Email: manuel.foecker@uni-due.de.
Jochen Antel, Email: jochen.antel@uni-due.de.
Corinna Grasemann, Email: corinna.grasemann@uk-essen.de.
Dagmar Führer, Email: dagmar.fuehrer@uk-essen.de.
Nina Timmesfeld, Email: timmesfn@staff.uni-marburg.de.
Dana Öztürk, Email: dana.oeztuerk@uni-due.de.
Triinu Peters, Email: triinu.peters@uni-due.de.
Anke Hinney, Email: anke.hinney@uni-due.de.
Johannes Hebebrand, Email: johannes.hebebrand@uni-due.de.
Lars Libuda, Email: lars.libuda@uni-due.de.
References
- 1.Disease GBD, Injury I, Prevalence C Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the global burden of disease study. Lancet. 2015;388(10053):1545–1602. doi: 10.1016/S0140-6736(16)31678-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hendrie C, Pickles A, Stanford SC, Robinson E. The failure of the antidepressant drug discovery process is systemic. J Psychopharmacol. 2013;27(5):407–413. doi: 10.1177/0269881112466185. [DOI] [PubMed] [Google Scholar]
- 3.Kirsch I. Review: benefits of antidepressants over placebo limited except in very severe depression. Evid Based Mental Health. 2010;13(2):49. doi: 10.1136/ebmh.13.2.49. [DOI] [PubMed] [Google Scholar]
- 4.Sarris J, O'Neil A, Coulson CE, Schweitzer I, Berk M. Lifestyle medicine for depression. BMC Psychiatry. 2014;14:107. doi: 10.1186/1471-244X-14-107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Jobst A, Brakemeier EL, Buchheim A, Caspar F, Cuijpers P, Ebmeier KP, Falkai P, Jan van der Gaag R, Gaebel W, Herpertz S, et al. European psychiatric association guidance on psychotherapy in chronic depression across Europe. Eur Psychiatry. 2016;33:18–36. doi: 10.1016/j.eurpsy.2015.12.003. [DOI] [PubMed] [Google Scholar]
- 6.Jacka FN, Kremer PJ, Leslie ER, Berk M, Patton GC, Toumbourou JW, Williams JW. Associations between diet quality and depressed mood in adolescents: results from the Australian healthy Neighbourhoods study. Aust N Z J Psychiatry. 2010;44(5):435–442. doi: 10.3109/00048670903571598. [DOI] [PubMed] [Google Scholar]
- 7.Jacka FN, Pasco JA, Williams LJ, Leslie ER, Dodd S, Nicholson GC, Kotowicz MA, Berk M. Lower levels of physical activity in childhood associated with adult depression. Aust J Sci Med Sport. 2011;14(3):222–226. doi: 10.1016/j.jsams.2010.10.458. [DOI] [PubMed] [Google Scholar]
- 8.Jacka FN, Mykletun A, Berk M. Moving towards a population health approach to the primary prevention of common mental disorders. BMC Med. 2012;10:149. doi: 10.1186/1741-7015-10-149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Opie RS, Itsiopoulos C, Parletta N, Sanchez-Villegas A, Akbaraly TN, Ruusunen A, Jacka FN. Dietary recommendations for the prevention of depression. Nutr Neurosci. 2017;20(3):161-71. [DOI] [PubMed]
- 10.Lopresti AL, Hood SD, Drummond PD. A review of lifestyle factors that contribute to important pathways associated with major depression: diet, sleep and exercise. J Affect Disord. 2013;148(1):12–27. doi: 10.1016/j.jad.2013.01.014. [DOI] [PubMed] [Google Scholar]
- 11.Sanchez-Villegas A, Martinez-Gonzalez MA. Diet, a new target to prevent depression? BMC Med. 2013;11:3. doi: 10.1186/1741-7015-11-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.O'Neil A, Berk M, Itsiopoulos C, Castle D, Opie R, Pizzinga J, Brazionis L, Hodge A, Mihalopoulos C, Chatterton ML, et al. A randomised, controlled trial of a dietary intervention for adults with major depression (the "SMILES" trial): study protocol. BMC Psychiatry. 2013;13:114. doi: 10.1186/1471-244X-13-114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Libuda L, Antel J, Hebebrand J, Föcker M. Nutrition and mental diseases: focus depressive disorders. Nervenarzt. 2017;88(1):87–101. [DOI] [PubMed]
- 14.Föcker M, Antel J, Ring S, Hahn D, Kanal O, Ozturk D, Hebebrand J, Libuda L. Vitamin D and mental health in children and adolescents. Eur Child Adolesc Psychiatry. 2017. [DOI] [PubMed]
- 15.Holick MF, Vitamin D. deficiency. N Engl J Med. 2007;357(3):266–281. doi: 10.1056/NEJMra070553. [DOI] [PubMed] [Google Scholar]
- 16.Pike JW, Meyer MB, Martowicz ML, Bishop KA, Lee SM, Nerenz RD, Goetsch PD. Emerging regulatory paradigms for control of gene expression by 1,25-dihydroxyvitamin D3. J Steroid Biochem Mol Biol. 2010;121(1–2):130–135. doi: 10.1016/j.jsbmb.2010.02.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kongsbak M, Levring TB, Geisler C, von Essen MR. The vitamin d receptor and T cell function. Front Immunol. 2013;4:148. doi: 10.3389/fimmu.2013.00148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ryan JW, Anderson PH, Morris HA. Pleiotropic activities of vitamin D receptors - adequate activation for multiple health outcomes. Clin Biochem Rev. 2015;36(2):53–61. [PMC free article] [PubMed] [Google Scholar]
- 19.Brown AJ, Dusso A, Slatopolsky E, Vitamin D. Am J Phys. 1999;277(2 Pt 2):F157–F175. doi: 10.1152/ajprenal.1999.277.2.F157. [DOI] [PubMed] [Google Scholar]
- 20.Eyles DW, Burne TH, McGrath JJ. Vitamin D, effects on brain development, adult brain function and the links between low levels of vitamin D and neuropsychiatric disease. Front Neuroendocrinol. 2013;34(1):47–64. doi: 10.1016/j.yfrne.2012.07.001. [DOI] [PubMed] [Google Scholar]
- 21.Stumpf WE. Drugs in the brain--cellular imaging with receptor microscopic autoradiography. Prog Histochem Cytochem. 2012;47(1):1–26. doi: 10.1016/j.proghi.2011.12.001. [DOI] [PubMed] [Google Scholar]
- 22.Cui X, Pertile R, Liu P, Eyles DW. Vitamin D regulates tyrosine hydroxylase expression: N-cadherin a possible mediator. Neuroscience. 2015;304:90–100. doi: 10.1016/j.neuroscience.2015.07.048. [DOI] [PubMed] [Google Scholar]
- 23.Garcion E, Wion-Barbot N, Montero-Menei CN, Berger F, Wion D. New clues about vitamin D functions in the nervous system. Trends Endocrinol Metab. 2002;13(3):100–105. doi: 10.1016/S1043-2760(01)00547-1. [DOI] [PubMed] [Google Scholar]
- 24.Cui X, Gooch H, Groves NJ, Sah P, Burne TH, Eyles DW, McGrath JJ. Vitamin D and the brain: key questions for future research. J Steroid Biochem Mol Biol. 2015;148:305–309. doi: 10.1016/j.jsbmb.2014.11.004. [DOI] [PubMed] [Google Scholar]
- 25.Annweiler C, Schott AM, Rolland Y, Blain H, Herrmann FR, Beauchet O. Dietary intake of vitamin D and cognition in older women: a large population-based study. Neurology. 2010;75(20):1810–1816. doi: 10.1212/WNL.0b013e3181fd6352. [DOI] [PubMed] [Google Scholar]
- 26.Brouwer-Brolsma EM, Feskens EJ, Steegenga WT, de Groot LC. Associations of 25-hydroxyvitamin D with fasting glucose, fasting insulin, dementia and depression in European elderly: the SENECA study. Eur J Nutr. 2013;52(3):917–925. doi: 10.1007/s00394-012-0399-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Cannell JJ. Autism and vitamin D. Med Hypotheses. 2008;70(4):750–759. doi: 10.1016/j.mehy.2007.08.016. [DOI] [PubMed] [Google Scholar]
- 28.Ganji V, Milone C, Cody MM, McCarty F, Wang YT. Serum vitamin D concentrations are related to depression in young adult US population: the third National Health and nutrition examination survey. Int Arch Med. 2010;3:29. doi: 10.1186/1755-7682-3-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Grant WB, Soles CM. Epidemiologic evidence supporting the role of maternal vitamin D deficiency as a risk factor for the development of infantile autism. Dermatoendocrinol. 2009;1(4):223–228. doi: 10.4161/derm.1.4.9500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Humble MB, Gustafsson S, Bejerot S. Low serum levels of 25-hydroxyvitamin D (25-OHD) among psychiatric out-patients in Sweden: relations with season, age, ethnic origin and psychiatric diagnosis. J Steroid Biochem Mol Biol. 2010;121(1–2):467–470. doi: 10.1016/j.jsbmb.2010.03.013. [DOI] [PubMed] [Google Scholar]
- 31.Itzhaky D, Amital D, Gorden K, Bogomolni A, Arnson Y, Amital H. Low serum vitamin D concentrations in patients with schizophrenia. Isr Med Assoc J. 2012;14(2):88–92. [PubMed] [Google Scholar]
- 32.Kesby JP, Burne TH, McGrath JJ, Eyles DW. Developmental vitamin D deficiency alters MK 801-induced hyperlocomotion in the adult rat: an animal model of schizophrenia. Biol Psychiatry. 2006;60(6):591–596. doi: 10.1016/j.biopsych.2006.02.033. [DOI] [PubMed] [Google Scholar]
- 33.Jaddou HY, Batieha AM, Khader YS, Kanaan SH, El-Khateeb MS, Ajlouni KM. Depression is associated with low levels of 25-hydroxyvitamin D among Jordanian adults: results from a national population survey. Eur Arch Psychiatry Clin Neurosci. 2012;262(4):321–327. doi: 10.1007/s00406-011-0265-8. [DOI] [PubMed] [Google Scholar]
- 34.McCann JC, Ames BN. Is there convincing biological or behavioral evidence linking vitamin D deficiency to brain dysfunction? FASEB J. 2008;22(4):982–1001. doi: 10.1096/fj.07-9326rev. [DOI] [PubMed] [Google Scholar]
- 35.Milaneschi Y, Hoogendijk W, Lips P, Heijboer AC, Schoevers R, van Hemert AM, Beekman AT, Smit JH, Penninx BW. The association between low vitamin D and depressive disorders. Mol Psychiatry. 2014;19(4):444–451. doi: 10.1038/mp.2013.36. [DOI] [PubMed] [Google Scholar]
- 36.Vieth R, Bischoff-Ferrari H, Boucher BJ, Dawson-Hughes B, Garland CF, Heaney RP, Holick MF, Hollis BW, Lamberg-Allardt C, McGrath JJ, et al. The urgent need to recommend an intake of vitamin D that is effective. Am J Clin Nutr. 2007;85(3):649–650. doi: 10.1093/ajcn/85.3.649. [DOI] [PubMed] [Google Scholar]
- 37.Munns CF, Shaw N, Kiely M, Specker BL, Thacher TD, Ozono K, Michigami T, Tiosano D, Mughal MZ, Makitie O, et al. Global consensus recommendations on prevention and Management of Nutritional Rickets. Horm Res Paediatrics. 2016;85(2):83–106. doi: 10.1159/000443136. [DOI] [PubMed] [Google Scholar]
- 38.Katrinaki M, Kampa M, Margioris A, Castanas E, Malliaraki N. Vitamin D levels in a large Mediterranean cohort: reconsidering normal cut-off values. Hormones. 2016;15(2):205–223. doi: 10.14310/horm.2002.1674. [DOI] [PubMed] [Google Scholar]
- 39.Institute of Medicine (US), committee to review dietary reference intakes for vitamin D and calcium. Dietary reference intakes for calcium and vitamin D. Washington: National Academies Press (US); 2011. [PubMed]
- 40.Tolppanen AM, Fraser A, Fraser WD, Lawlor DA. Risk factors for variation in 25-hydroxyvitamin D(3) and D(2) concentrations and vitamin D deficiency in children. J Clin Endocrinol Metab. 2012;97(4):1202–1210. doi: 10.1210/jc.2011-2516. [DOI] [PubMed] [Google Scholar]
- 41.Schramm S, Lahner H, Jockel KH, Erbel R, Fuhrer D, Moebus S. Heinz Nixdorf recall study G: impact of season and different vitamin D thresholds on prevalence of vitamin D deficiency in epidemiological cohorts-a note of caution. Endocrine. 2017;56(3):658–666. doi: 10.1007/s12020-017-1292-7. [DOI] [PubMed] [Google Scholar]
- 42.Wang TJ, Zhang F, Richards JB, Kestenbaum B, van Meurs JB, Berry D, Kiel DP, Streeten EA, Ohlsson C, Koller DL, et al. Common genetic determinants of vitamin D insufficiency: a genome-wide association study. Lancet. 2010;376(9736):180–188. doi: 10.1016/S0140-6736(10)60588-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Ahn J, Yu K, Stolzenberg-Solomon R, Simon KC, McCullough ML, Gallicchio L, Jacobs EJ, Ascherio A, Helzlsouer K, Jacobs KB, et al. Genome-wide association study of circulating vitamin D levels. Hum Mol Genet. 2010;19(13):2739–2745. doi: 10.1093/hmg/ddq155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Sapkota BR, Hopkins R, Bjonnes A, Ralhan S, Wander GS, Mehra NK, Singh JR, Blackett PR, Saxena R, Sanghera DK. Genome-wide association study of 25(OH) vitamin D concentrations in Punjabi Sikhs: results of the Asian Indian diabetic heart study. J Steroid Biochem Mol Biol. 2016;158:149–156. doi: 10.1016/j.jsbmb.2015.12.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Autier P, Boniol M, Pizot C, Mullie P. Vitamin D status and ill health: a systematic review. Lancet Diabetes Endocrinol. 2014;2(1):76–89. doi: 10.1016/S2213-8587(13)70165-7. [DOI] [PubMed] [Google Scholar]
- 46.Vitamin D. Chasing a myth? Lancet Diabetes Endocrinol. 2014;2(1):1. doi: 10.1016/S2213-8587(13)70164-5. [DOI] [PubMed] [Google Scholar]
- 47.Guessous I. Role of vitamin D deficiency in extraskeletal complications: predictor of health outcome or marker of health status? Biomed Res Int. 2015;2015:563403. doi: 10.1155/2015/563403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Autier P. Vitamin D status as a synthetic biomarker of health status. Endocrine. 2016;51(2):201–202. doi: 10.1007/s12020-015-0837-x. [DOI] [PubMed] [Google Scholar]
- 49.Gillie O. Vitamin D, causation, conflict of interest and other issues--CORRIGENDUM. Public Health Nutr. 2016;19(3):417. doi: 10.1017/S1368980015000166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Gillie O. Controlled trials of vitamin D, causality and type 2 statistical error. Public Health Nutr. 2016;19(3):409–414. doi: 10.1017/S1368980014002304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Thompson RA, Nelson CA. Developmental science and the media. Early brain development. Am Psychol. 2001;56(1):5–15. doi: 10.1037/0003-066X.56.1.5. [DOI] [PubMed] [Google Scholar]
- 52.Kumar G, Steer RA, Teitelman KB, Villacis L. Effectiveness of Beck depression inventory-II subscales in screening for major depressive disorders in adolescent psychiatric inpatients. Assessment. 2002;9(2):164–170. doi: 10.1177/10791102009002007. [DOI] [PubMed] [Google Scholar]
- 53.Tanner JM. Normal growth and techniques of growth assessment. Clin Endocrinol Metab. 1986;15(3):411–451. doi: 10.1016/S0300-595X(86)80005-6. [DOI] [PubMed] [Google Scholar]
- 54.Stiegler P, Sausenthaler S, Buyken AE, Rzehak P, Czech D, Linseisen J, Kroke A, Gedrich K, Robertson C, Heinrich J. A new FFQ designed to measure the intake of fatty acids and antioxidants in children. Public Health Nutr. 2010;13(1):38–46. doi: 10.1017/S1368980009005813. [DOI] [PubMed] [Google Scholar]
- 55.Abedi E, Sahari MA. Long-chain polyunsaturated fatty acid sources and evaluation of their nutritional and functional properties. Food Sci Nutr. 2014;2(5):443–463. doi: 10.1002/fsn3.121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Pottala JV, Talley JA, Churchill SW, Lynch DA, von Schacky C, Harris WS. Red blood cell fatty acids are associated with depression in a case-control study of adolescents. Prostaglandins Leukot Essent Fat Acids. 2012;86(4–5):161–165. doi: 10.1016/j.plefa.2012.03.002. [DOI] [PubMed] [Google Scholar]
- 57.Harris WS, Von Schacky C. The Omega-3 index: a new risk factor for death from coronary heart disease? Prev Med. 2004;39(1):212–220. doi: 10.1016/j.ypmed.2004.02.030. [DOI] [PubMed] [Google Scholar]
- 58.Fekete K, Marosvolgyi T, Jakobik V, Decsi T. Methods of assessment of n-3 long-chain polyunsaturated fatty acid status in humans: a systematic review. Am J Clin Nutr. 2009;89(6):2070S–2084S. doi: 10.3945/ajcn.2009.27230I. [DOI] [PubMed] [Google Scholar]
- 59.Döpfner M, Görtz-Dorten A, Lehmkuhl G, Breuer D, Goletz H. DISYPS-II: Diagnostik-System für psychische Störungen nach ICD-10 und DSM-IV für Kinder und Jugendliche – II. Bern: Huber; 2008. [Google Scholar]
- 60.Hartmann AS, Rief W, Hilbert A. Psychometric properties of the German version of the Barratt impulsiveness scale, version 11 (BIS-11) for adolescents. Percept Mot Skills. 2011;112(2):353–368. doi: 10.2466/08.09.10.PMS.112.2.353-368. [DOI] [PubMed] [Google Scholar]
- 61.Achenbach TM. Integrative guide for the 1991 CBCL/4-18, YSR and TRF profiles. Burlington: Department of Psychiatry, University of Vermont; 1991. [Google Scholar]
- 62.Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–1395. doi: 10.1249/01.MSS.0000078924.61453.FB. [DOI] [PubMed] [Google Scholar]
- 63.McCarty CA. Sunlight exposure assessment: can we accurately assess vitamin D exposure from sunlight questionnaires? Am J Clin Nutr. 2008;87(4):1097S–1101S. doi: 10.1093/ajcn/87.4.1097S. [DOI] [PubMed] [Google Scholar]
- 64.Harris C, Flexeder C, Thiering E, Buyken A, Berdel D, Koletzko S, Bauer CP, Bruske I, Koletzko B, Standl M, et al. Changes in dietary intake during puberty and their determinants: results from the GINIplus birth cohort study. BMC Public Health. 2015;15:841. doi: 10.1186/s12889-015-2189-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Lampert T, Muters S, Stolzenberg H, Kroll LE, Ki GGSSG. Measurement of socioeconomic status in the KiGGS study: first follow-up (KiGGS wave 1) Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz. 2014;57(7):762–770. doi: 10.1007/s00103-014-1974-8. [DOI] [PubMed] [Google Scholar]
- 66.Matuschek T, Jaeger S, Stadelmann S, Dolling K, Grunewald M, Weis S, von Klitzing K, Dohnert M. Implementing the K-SADS-PL as a standard diagnostic tool: effects on clinical diagnoses. Psychiatry Res. 2016;236:119–124. doi: 10.1016/j.psychres.2015.12.021. [DOI] [PubMed] [Google Scholar]
- 67.SPIRIT [http://www.spirit-statement.org/spirit-statement/].
- 68.Hasselblatt H, Dreier G, Antes G, Schumacher M. The German clinical trials register: challenges and chances of implementing a bilingual registry. J Evid Based Med. 2009;2(1):36–40. doi: 10.1111/j.1756-5391.2009.01001.x. [DOI] [PubMed] [Google Scholar]
- 69.Mozaffari-Khosravi H, Nabizade L, Yassini-Ardakani SM, Hadinedoushan H, Barzegar K. The effect of 2 different single injections of high dose of vitamin D on improving the depression in depressed patients with vitamin D deficiency: a randomized clinical trial. J Clin Psychopharmacol. 2013;33(3):378–385. doi: 10.1097/JCP.0b013e31828f619a. [DOI] [PubMed] [Google Scholar]
- 70.Emslie GJ, Heiligenstein JH, Wagner KD, Hoog SL, Ernest DE, Brown E, Nilsson M, Jacobson JG. Fluoxetine for acute treatment of depression in children and adolescents: a placebo-controlled, randomized clinical trial. J Am Acad Child Adolesc Psychiatry. 2002;41(10):1205–1215. doi: 10.1097/00004583-200210000-00010. [DOI] [PubMed] [Google Scholar]
- 71.Haapasalo-Pesu KM, Vuola T, Lahelma L, Marttunen M. Mirtazapine in the treatment of adolescents with major depression: an open-label, multicenter pilot study. J Child Adolesc Psychopharmacol. 2004;14(2):175–184. doi: 10.1089/1044546041649110. [DOI] [PubMed] [Google Scholar]
- 72.Dumville JC, Torgerson DJ, Hewitt CE. Reporting attrition in randomised controlled trials. BMJ. 2006;332(7547):969–971. doi: 10.1136/bmj.332.7547.969. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Colman I, Jones PB, Kuh D, Weeks M, Naicker K, Richards M, Croudace TJ. Early development, stress and depression across the life course: pathways to depression in a national British birth cohort. Psychol Med. 2014;44(13):2845–2854. doi: 10.1017/S0033291714000385. [DOI] [PubMed] [Google Scholar]
- 74.Das JK, Salam RA, Lassi ZS, Khan MN, Mahmood W, Patel V, Bhutta ZA. Interventions for adolescent mental health: an overview of systematic reviews. J Adolesc Health. 2016;59(4S):S49–S60. doi: 10.1016/j.jadohealth.2016.06.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Kennedy E. Developing interventions in child and adolescent mental health services: do we really know what works for whom? Clin Child Psychol Psychiatry. 2015;20(4):529–531. doi: 10.1177/1359104515606528. [DOI] [PubMed] [Google Scholar]
- 76.Dolle K, Schulte-Korne G. The treatment of depressive disorders in children and adolescents. Deutsches Arzteblatt Int. 2013;110(50):854–860. doi: 10.3238/arztebl.2013.0854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Hopkins K, Crosland P, Elliott N, Bewley S. Clinical guidelines update committee B: diagnosis and management of depression in children and young people: summary of updated NICE guidance. BMJ. 2015;350:h824. doi: 10.1136/bmj.h824. [DOI] [PubMed] [Google Scholar]
- 78.O'Brien PL, Thomas CP, Hodgkin D, Levit KR, Mark TL. The diminished pipeline for medications to treat mental health and substance use disorders. Psychiatr Serv. 2014;65(12):1433–1438. doi: 10.1176/appi.ps.201400044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Dolle K, Schulte-Korne G. Complementary treatment methods for depression in children and adolescents. Prax Kinderpsychol Kinderpsychiatr. 2014;63(3):237–263. doi: 10.13109/prkk.2014.63.3.237. [DOI] [PubMed] [Google Scholar]
- 80.Spedding S. Vitamin D and depression: a systematic review and meta-analysis comparing studies with and without biological flaws. Nutrients. 2014;6(4):1501–1518. doi: 10.3390/nu6041501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.World-Medical-Association. https://www.wma.net/policies-post/wma-declaration-ofhelsinki-ethical-principles-for-medical-research-involving-human-subjects/.
- 82.ICH . International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use. 1996. Guideline for Good Clinical Practice E6. [Google Scholar]
- 83.Kuhner C, Burger C, Keller F, Hautzinger M. Reliability and validity of the revised Beck depression inventory (BDI-II). Results from German samples. Nervenarzt. 2007;78(6):651–656. doi: 10.1007/s00115-006-2098-7. [DOI] [PubMed] [Google Scholar]
- 84.Döpfner M, Görtz-Dorten A, Lehmkuhl G. Diagnostik-System für psychische Störungen im Kindes- und Jugendalter nach ICD-10 und DSM-IV (DISYPS-II) Bern: Huber; 2000. [Google Scholar]
- 85.Daseking M, Petermann F, Waldmann HC. Assessment of intelligence of 6-year-old children--practical comparability of HAWIVA-III and HAWIK-IV. Z Kinder und Jugendpsychiatrie und Psychotherapie. 2010;38(2):111–121. doi: 10.1024/1422-4917.a000018. [DOI] [PubMed] [Google Scholar]
- 86.Birmaher B, Ehmann M, Axelson DA, Goldstein BI, Monk K, Kalas C, Kupfer D, Gill MK, Leibenluft E, Bridge J, et al. Schedule for affective disorders and schizophrenia for school-age children (K-SADS-PL) for the assessment of preschool children--a preliminary psychometric study. J Psychiatr Res. 2009;43(7):680–686. doi: 10.1016/j.jpsychires.2008.10.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Snowden RJ, Gray NS. Impulsivity and psychopathy: associations between the barrett impulsivity scale and the psychopathy checklist revised. Psychiatry Res. 2011;187(3):414–417. doi: 10.1016/j.psychres.2011.02.003. [DOI] [PubMed] [Google Scholar]
- 88.Dingle K, Alati R, Williams GM, Najman JM, Bor W, Clavarino A. The ability of YSR DSM-oriented depression scales to predict DSM-IV depression in young adults: a longitudinal study. J Affect Disord. 2010;121(1–2):45–51. doi: 10.1016/j.jad.2009.05.013. [DOI] [PubMed] [Google Scholar]
- 89.Dopfner M, Plueck J, Lehmkuhl G, Huss M, Lenz K, Lehmkuhl U, Poustka F, Schmeck K, Fegert JM, German CSG. Covariation, co-occurrence and epiphenomenal correlation of empirically based syndromes in children and adolescents. Psychopathology. 2009;42(3):177–184. doi: 10.1159/000207460. [DOI] [PubMed] [Google Scholar]
- 90.Winkler J, Stolzenberg H. Social class index in the Federal Health Survey. Gesundheitswesen. 1999;61 Spec No:S178–S183. [PubMed] [Google Scholar]
- 91.Farahati J, Nagarajah J, Gilman E, Mahjoob S, Zohreh M, Rosenbaum-Krumme S, Bockisch A, Zakavi SR. Ethnicity, Clothing Style, and Body mass index are significant predictors of vitamin D insufficiency in Germany. Endocr Pract. 2015;21(2):122–127. doi: 10.4158/EP14320.OR. [DOI] [PubMed] [Google Scholar]
- 92.Stahl A, Vohmann C, Richter A, Heseker H, Mensink GB. Changes in food and nutrient intake of 6- to 17-year-old Germans between the 1980s and 2006. Public Health Nutr. 2009;12(10):1912–1923. doi: 10.1017/S1368980009004844. [DOI] [PubMed] [Google Scholar]