Major depressive disorder and subthreshold depression in prepubertal children from the Danish National Birth Cohort

Sleep Quality, Depression, and the Risk of Anaemia in Adolescents Aged 10-19 Years During One Year of the COVID-19 Pandemic in Indonesia

Sleep quality and depression are known to be associated with anaemia in adults, but studies are limited among children and adolescents. The present study aimed to assess the association between sleep quality, depression, and haemoglobin concentration in Indonesian adolescents aged 10-19 years. Data of 452 adolescent boys and girls, aged 10-19 years old, were collected across all subdistricts in Gunungkidul district, Yogyakarta province, Indonesia, in 2021 (baseline) and 2022 (follow-up). Sleep quality and depression were assesed using The Pittsburgh Sleep Quality Index (PSQI) and The Kessler-10 Psychological Distress Scale (K10), respectively. Haemoglobin concentration was measured, with corrections applied for altitude and smoking. Anaemia status was defined as haemoglobin < 11.5 g/dL for adolescents aged 10-11 years old, < 12 g/dL for those aged 12-14 years old and for girls aged 15 years and older, and < 13 g/dL for boys aged 15 years old and older. Latent Class Analysis (LCA) was employed to identify distinct subgroups of adolescents based on shared patterns of sleep quality and depression. Multiple linear regression was applied to identify associations between class membership and haemoglobin concentration at baseline and follow-up, with adjustments for baseline haemoglobin concentration, sex, age, pubertal status, alcohol consumption, smoking status, and household income. The overall prevalence of anaemia was 21% at baseline and 29% at follow-up, with girls being more affected than boys. LCA yielded 5 classes of sleep quality and depression. We did not find an association between class membership and haemoglobin concentration at baseline. However, in comparison to class A and after adjustments, membership of class B (moderate-to-good sleep quality and low risk of depression, with some tiredness) predicted a reduction of 0.43 g/dL (95% CI: -0.79; -0.07), whereas membership of class C (moderate sleep quality and moderate risk of depression) predicted a reduction of 0.49 g/dL (95% CI: -0.94; -0.04) in haemoglobin concentration at 1 year follow-up. Our study found that poor sleep quality and depression symptoms are associated with lower haemoglobin concentrations over time. Mental health and sleep quality should therefore be considered in intervention programs that address anaemia.

Estimated Prevalence of Depressive Disorders in Children From 2004 to 2019: A Systematic Review and Meta-Analysis

Importance

Depression during childhood (ie, age <13 years) poses a major health burden. Recent changes in environmental and lifestyle factors may increase children's risk of mental health problems. This has been reported for anxiety disorders, but it is unclear whether this occurs for depressive disorders.

Objective

To provide prevalence estimates for the depressive disorders (ie, major depressive disorder [MDD], dysthymia, disruptive mood dysregulation disorder [DMDD], and overall) in children, and whether they have changed over time.

Data Sources

The MEDLINE, PsycINFO, Embase, Scopus, and Web of Science databases were searched using terms related to depressive disorders, children, and prevalence. This was supplemented by a systematic gray literature search.

Study Selection

Studies were required to provide population prevalence estimates of depressive disorder diagnoses (according to an established taxonomy and standardized interviews) for children younger than 13 years, information about participants' year of birth, and be published in English.

Data Extraction and Synthesis

Data extraction was compliant with the Meta-Analysis of Observational Studies in Epidemiology guidelines. A total of 12 985 nonduplicate records were retrieved, and 154 full texts were reviewed. Data were analyzed from 2004 (the upper limit of a previous review) to May 27, 2023. Multiple proportional random-effects meta-analytic and mixed-effects meta-regression models were fit.

Main Outcomes and Measures

Pooled prevalence rates of depressive disorders, prevalence rate differences between males vs females and high-income countries (HICs) vs low-and middle-income countries (LMICs), and moderating effects of time or birth cohort.

Results

A total of 41 studies were found to meet the inclusion criteria. Pooled prevalence estimates were obtained for 1.07% (95% CI, 0.62%-1.63%) for depressive disorders overall, 0.71% (95% CI, 0.48%-0.99%) for MDD, 0.30% (95% CI, 0.08%-0.62%) for dysthymia, and 1.60% (95% CI, 0.28%-3.90%) for DMDD. The meta-regressions found no significant evidence of an association with birth cohort, and prevalence rates did not differ significantly between males and females or between HICs and LMICs. There was a low risk of bias overall, except for DMDD, which was hindered by a lack of studies.

Conclusions and Relevance

In this systematic review and meta-analysis, depression in children was uncommon and did not increase substantially between 2004 and 2019. Future epidemiologic studies using standardized interviews will be necessary to determine whether this trend will continue into and beyond the COVID-19 pandemic.

Depression in middle childhood: secure base script as a cognitive diathesis in the relationship between daily stress and depressive symptoms

A better understanding of protective factors against childhood depression may allow for the mitigation of severe and chronic symptoms and the timely implementation of intervention strategies. This study investigated the protective effect of having a secure base script on depressive symptoms when children face daily stressors. To test this hypothesis, moderation analyses were performed in a cross-sectional study with 378 children (48.5% boys, 51.5%) aged 8-12 years (M = 10.20; SD = 0.57). The results provided some support for the moderation effect when secure base script knowledge was investigated as a categorical variable in middle childhood. However, the results did not support the moderation effect when investigating secure base script as a continuous variable. Therefore, future investigations may need to address whether a categorical approach could better elucidate the protective role of secure base script knowledge in childhood depression.

The prevalence and risk of developing major depression among individuals with subthreshold depression in the general population

BACKGROUND

Subthreshold depression could be a significant precursor to and a risk factor for major depression. However, reliable estimates of the prevalence and its contribution to developing major depression under different terminologies depicting subthreshold depression have to be established.

METHODS

By searching PubMed and Web of Science using predefined inclusion criteria, we included 1 129 969 individuals from 113 studies conducted. The prevalence estimates were calculated using the random effect model. The incidence risk ratio (IRR) was estimated by measuring the ratio of individuals with subthreshold depression who developed major depression compared to that of non-depressed individuals from 19 studies (88, 882 individuals).

RESULTS

No significant difference in the prevalence among the different terminologies depicting subthreshold depression (Q = 1.96, p = 0.5801) was found. By pooling the prevalence estimates of subthreshold depression in 113 studies, we obtained a summary prevalence of 11.02% [95% confidence interval (CI) 9.78-12.33%]. The youth group had the highest prevalence (14.17%, 95% CI 8.82-20.55%), followed by the elderly group (12.95%, 95% CI 11.41-14.58%) and the adult group (8.92%, 95% CI 7.51-10.45%). Further analysis of 19 studies' incidence rates showed individuals with subthreshold depression had an increased risk of developing major depression (IRR = 2.95, 95% CI 2.33-3.73), and the term minor depression showed the highest IRR compared with other terms (IRR = 3.97, 95% CI 3.17-4.96).

CONCLUSIONS

Depression could be a spectrum disorder, with subthreshold depression being a significant precursor to and a risk factor for major depression. Proactive management of subthreshold depression could be effective for managing the increasing prevalence of major depression.

Clinical Practice Guideline for the Assessment and Treatment of Children and Adolescents With Major and Persistent Depressive Disorders

OBJECTIVE

To enhance the quality of care and clinical outcomes for children and adolescents with major depressive disorder (MDD) and persistent depressive disorder (PDD). The aims are as follows: (1) to summarize empirically based guidance about the psychosocial and psychopharmacologic treatment of MDD and PDD in children and adolescents; and (2) to summarize expert-based guidance about the assessment of these disorders as an integral part of treatment, and the implementation of empirically based treatments for these disorders in clinical practice.

METHOD

Statements about the treatment of MDD and PDD are based upon empirical evidence derived from a critical systematic review of the scientific literature conducted by the Research Triangle Institute International-University of North Carolina at Chapel Hill (RTI-UNC) Evidence-based Practice Center under contract with the Agency for Healthcare Research and Quality (AHRQ). Evidence from meta-analyses published since the AHRQ/RTI-UNC review is also presented to support or refute the AHRQ findings. Guidance about the assessment and clinical implementation of treatments for MDD and PDD is informed by expert opinion and consensus as presented in previously published clinical practice guidelines, chapters in leading textbooks of child and adolescent psychiatry, the DSM-5-TR, and government-affiliated prescription drug information websites.

RESULTS

Psychotherapy (specifically, cognitive-behavioral and interpersonal therapies) and selective serotonin reuptake inhibitor (SSRI) medication have some rigorous (randomized controlled trials, meta-analyses) empirical support as treatment options. Because effective treatment outcomes are predicated in part upon accuracy of the diagnosis, depth of the clinical formulation, and breadth of the treatment plan, comprehensive, evidence-based assessment may enhance evidence-based treatment outcomes.

CONCLUSION

Disproportionate to the magnitude of the problem, there are significant limitations in the quality and quantity of rigorous empirical support for the etiology, assessment, and treatment of depression in children and adolescents. In the context of a protracted severe shortage of child and adolescent-trained behavioral health specialists, the demonstration of convenient, efficient, cost-effective, and user-friendly delivery mechanisms for safe and effective treatment of MDD and PDD is a key research need. Other research priorities include the sequencing and comparative effectiveness of depression treatments, delineation of treatment mediators and moderators, effective approaches to treatment nonresponders and disorder relapse/recurrence, long-term effects and degree of suicide risk with SSRI use, and the discovery of novel pharmacologic or interventional treatments.

The relationship between physical and mental health multimorbidity and children's health-related quality of life

Purpose

To examine the relationships between physical health problems, and borderline or clinical levels of mental health symptoms and children’s health-related quality of life (HRQoL).

Methods

Data were from the Longitudinal Study of Australian Children (2004–2018). Parents reported on their child’s HRQoL (PedsQL), physical health problems and mental health symptoms (Strengths and Difficulties Questionnaire, SDQ). A pooled cross-sectional analysis using linear regressions examined the relationships between physical health and clinical/borderline mental health symptoms, individually and when multi-morbid, and children’s HRQoL, and whether these relationships vary by a range of child, family and social factors.

Results

The sample comprised 47,567 observations of children aged 4–17 years. Borderline and clinical levels of mental health symptoms were associated with significantly lower HRQoL, equal to more than two-times (10.5 points) and more than three-times (16.8 points) the clinically meaningful difference, respectively. This was a larger difference than that associated with physical health problems (4.4 points). We found a significant interaction effect between physical health problems and clinical mental health symptoms which was associated with even poorer HRQoL after accounting for the individual relationships of both problems. Mental health problems were associated with poorer HRQoL for older versus younger children; and the interaction effect was significant for boys but not girls.

Conclusion

Findings highlight the importance of identifying and addressing mental health symptoms in children of all ages, even if these problems do not meet formal clinical criteria. Particular attention should be paid to the mental health and HRQoL of children with physical–mental multimorbidity, who are at risk of disproportionately poorer HRQoL.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11136-022-03095-1.

Ongoing physical and mental health problems are common in children and adolescents and, often, children can experience both problems together. Mental and physical health problems can have wide impacts for the child, including their health-related quality of life (HRQoL), which is a measure of the way the child’s health impacts their emotional, social and physical functioning during their day-to-day life. Our study shows that children with high levels of mental health symptoms have much poorer HRQoL than their peers, and we provide new evidence that even milder mental health symptoms are associated with poorer HRQoL than in children with physical health problems. When children have both physical and mental health problems, they are at even greater risk of poorer HRQoL than would be expected. Based on our findings, we recommend that clinicians should monitor and address mental health symptoms in children as young as 4–7 years old, even if these symptoms are milder, and particular attention should be given to children with physical and mental health problems, who are at greater risk of poor HRQoL.

Polygenic risk scores for major psychiatric and neurodevelopmental disorders contribute to sleep disturbance in childhood: Adolescent Brain Cognitive Development (ABCD) Study

Sleep disturbance is a common symptom of psychiatric and neurodevelopmental disorders and, especially in childhood, can be a precursor to various mental disorders. However, the genetic etiology of mental illness that contributes to sleep disturbance during childhood is poorly understood. We investigated whether the polygenic features of psychiatric and neurodevelopmental disorders are associated with sleep disturbance during childhood. We conducted polygenic risk score (PRS) analyses by utilizing large-scale genome-wide association studies (GWASs) (n = 46,350-500,199) of five major psychiatric and neurodevelopmental disorders (autism spectrum disorder, schizophrenia, attention-deficit/hyperactivity disorder (ADHD), major depressive disorder (MDD), and bipolar disorder) and, additionally, anxiety disorders as base datasets. We used the data of 9- to 10-year-olds from the Adolescent Brain Cognitive Development study (n = 9683) as a target dataset. Sleep disturbance was assessed based on the Sleep Disturbance Scale for Children (SDSC) scores. The effects of PRSs for these psychiatric and neurodevelopmental disorders on the total scores and six subscale scores of the SDSC were investigated. Of the PRSs for the five psychiatric and neurodevelopmental disorders, the PRSs for ADHD and MDD positively correlated with sleep disturbance in children (ADHD: R2 = 0.0033, p = 6.19 × 10-5, MDD: R2 = 0.0042, p = 5.69 × 10-6). Regarding the six subscale scores of the SDSC, the PRSs for ADHD positively correlated with both disorders of initiating and maintaining sleep (R2 = 0.0028, p = 2.31 × 10-4) and excessive somnolence (R2 = 0.0023, p = 8.44 × 10-4). Furthermore, the PRSs for MDD primarily positively correlated with disorders of initiating and maintaining sleep (R2 = 0.0048, p = 1.26 × 10-6), followed by excessive somnolence (R2 = 0.0023, p = 7.74 × 10-4) and sleep hyperhidrosis (R2 = 0.0014, p = 9.55 × 10-3). Despite high genetic overlap between MDD and anxiety disorders, PRSs for anxiety disorders correlated with different types of sleep disturbances such as disorders of arousal or nightmares (R2 = 0.0013, p = 0.011). These findings suggest that greater genetic susceptibility to specific psychiatric and neurodevelopmental disorders, as represented by ADHD, MDD, and anxiety disorders, may contribute to greater sleep problems among children.

Understanding Adolescent Expressions of Sadness: A Qualitative Exploration

PURPOSE

Primary care providers are positioned to identify adolescents at risk for depression and prevent major depressive disorder. To identify subthreshold depression, we examined the language adolescents use to describe their symptoms.

METHODS

Adolescents ages 13-18 with elevated levels on the Center for Epidemiologic Studies Depression (CES-D) scale and/or a history of depression who were part of a large randomized clinical trial to prevent depressive disorder were included. We used content analysis to analyze transcripts of semi-structured interviews.

RESULTS

Saturation was reached at 37 interviews. Adolescents self-identified as African American (N = 15), Hispanic (N = 10), and White (N = 21). Three domains were revealed; external sources of stress, adolescent expressions of sadness, and seeking help and care. Within these domains, 12 distinct themes emerged contextualizing these domains. No variations in the expression of the themes identified for subthreshold depression were found between the three ethno-cultural groups.

IMPLICATIONS FOR PRACTICE

Our study identifies, in adolescents' own words, how adolescents with subthreshold depression express feelings and cope with symptoms, and may guide primary care providers to recognize subthreshold depression early. These findings are a step toward filling the gap in the empirical literature needed to improve identification of adolescents at risk for depression in nonspecialist settings.

Sleep Disturbance Predicts Depression Symptoms in Early Adolescence: Initial Findings From the Adolescent Brain Cognitive Development Study

PURPOSE

The aim of the study was to investigate associations between sleep disturbances and mental health in adolescents.

METHODS

Data are from a national sample of 11,670 U.S. participants (5,594 females, aged 9-10 years, 63.5% white) in the Adolescent Brain Cognitive Development study. Initial longitudinal analyses were conducted for a subset of the sample (n = 4,951). Measures of youth sleep disturbance (disorders of initiating and maintaining sleep, sleep-wake transition disorders, and disorders of excessive somnolence) and "typical" total sleep time (number of hours slept on most nights in the past 6 months) were obtained from the parent-report Sleep Disturbance Scale (Data Release 2.0). Parent-report measures of youth mental health (depression, internalizing, and externalizing behaviors) from the Child Behavior Checklist and typical screen time were included.

RESULTS

At baseline, greater sleep disturbance and shorter total sleep time were associated with greater internalizing, externalizing, and depression scores. After controlling for baseline mental health symptoms, baseline sleep disturbance significantly predicted depression and internalizing and externalizing scores at 1-year follow-up. A significant interaction with sex indicated that the association between disorders of excessive somnolence and depression 1 year later was steeper for girls, compared with boys (p < .001; 95% confidence interval 1.04-3.45).

CONCLUSIONS

Sleep disturbances predicted future mental health, particularly depression in this young sample, highlighting the potential to harness sleep as a tool to mitigate the persistence of depression across early adolescence and potentially prevent an adolescent onset of major depressive disorder.

Prevalence and correlates of maladaptive guilt in middle childhood

BACKGROUND

Maladaptive guilt can develop by age three and is associated with severe affective psychopathology in adolescents and adults. Yet, little is known about its prevalence prior to adolescence, or which children are at greatest risk of developing this symptom. This study examined the prevalence and correlates of maladaptive guilt in middle childhood.

METHODS

This study examined a large community sample of 9-to 10-year-old children (N = 4485) from the Adolescent Brain and Cognitive Development (ABCD) study. Maladaptive guilt was assessed through the Kiddie Schedule for Affective Disorders and Schizophrenia for DSM-5. Parental rejection, family conflict, and parental depression were assessed via questionnaires.

RESULTS

In depressed children, a 1-month prevalence of maladaptive guilt of 18.4% and a lifetime prevalence of 30.8% was found. Lifetime rates ranged from 1.8 to 4.1% in children with other psychiatric disorders. Cross-sectionally, maladaptive guilt was associated with lower family income-to-needs, greater family conflict, a history of maternal depression, and greater parental rejection. These findings held when controlling for children's depressive severity, indicating that these associations are specific to maladaptive guilt.

LIMITATIONS

Maladaptive guilt was assessed through one item, though many studies of maladaptive guilt measure the symptom in this manner.

CONCLUSIONS

Findings suggest that it may be beneficial for clinicians to assess for maladaptive guilt beyond the context of assessment for depression, particularly with children of low socioeconomic status and children of depressed mothers, whom this study suggests are at higher risk. Negative family climates and parenting might also be important targets of preventative interventions.

Dimensions and subtypes of oppositionality and their relation to comorbidity and psychosocial characteristics

The symptoms of oppositional defiant disorder (ODD), or oppositionality, seem to constitute a three-dimensional structure of angry/irritable, vindictiveness and argumentative behavior dimensions. Also, subjects with oppositionality are characterized by different comorbidity and longitudinal trajectories, suggesting that they could be divided into subtypes. This study is the first to examine the dimensions and subtypes of oppositionality in Nordic children. Study participants included 3435 children aged 7-10 years from the Danish National Birth Cohort. Information was collected using the Development and Well-Being Assessment (DAWBA) online version. A three-factor ODD model was identified. The angry/irritable dimension was associated with emotional problems and disorders, fewer social skills and fewer personal positive attributes. The argumentative behavior dimension was associated with hyperactivity/conduct problems, reduced social skills and positive attributes. The vindictiveness dimension was associated with externalizing, internalizing and prosocial problems. Four ODD subtypes were identified. The subtypes with many or mainly angry/irritable symptoms were characterized by comorbid psychopathology, increased functional impairment and psychosocial problems. Children with ODD had fewer positive attributes, more friendship/school problems and higher functional impairment than children with emotional disorders and control group children. Oppositionality consists of three dimensions differently associated with comorbidity and psychosocial characteristics, and the same pattern is seen for the four ODD subtypes identified in this study. Children with ODD experience more adversities and functional impairment than children with emotional disorders. Our results indicate that treatment of children with ODD would improve from extended knowledge on individual ODD dimensions and subtypes and the related child psychosocial characteristics.

Low mood in a sample of 5-12 year-old child psychiatric patients: a cross-sectional study

BACKGROUND

Not much is known about low mood and its associates in child psychiatric patients. In this study, we examined the prevalence of low mood, how it associates with disruptive behaviour, and affects clinician-rated global functioning in child psychiatric outpatients.

METHODS

The study population consisted of 862 5-12 year-old child psychiatric patients. The study sample was a subsample of all 1251 patients attending a child psychiatric outpatient clinic at Helsinki University Hospital in 2013-2015 formed by excluding 4 year-old and 13 year-old patients and those with missing or incomplete data. The parent-rated Strengths and Difficulties Questionnaire, collected as part of the routine clinical baseline measure, was used as a measure of psychiatric symptoms. The diagnoses were set according to ICD-10 by the clinician in charge after an initial evaluation period. The Children's Global Assessment Scale (CGAS) score set by clinicians provided the measure of the patients' global functioning. All information for the study was collected from hospital registers. Associations between emotional symptoms and conduct problems/hyperactivity scores were examined using ordinal regression in univariate and multivariate models, controlling for age and sex. The independent samples T test was used to compare the CGAS values of patient groups with low/normal mood.

RESULTS

In our sample, 512 children (59.4%) showed low mood. In multivariate ordinal regression analysis, low mood associated with conduct problems (OR 1.93, 95% CI 1.39-2.67), but no association was found between low mood and hyperactivity. Low mood was prevalent among children with oppositional defiant disorder or conduct disorder (51.8%). The global functioning score CGAS was lower among children with parent-reported low mood (52.21) than among children with normal mood (54.62, p < 0.001). The same was true in the subgroup of patients with no depression diagnosis (54.85 vs. 52.82, p = 0.001).

CONCLUSIONS

Low mood is prevalent in child psychiatric outpatients regardless of depression diagnosis and it has a negative effect on global functioning. Low mood and behavioural problems are often associated. It is important to pay attention to low mood in all child psychiatric patients. We recommend prevention measures and low-threshold services for children with low mood.