Expert and self-assessment of lifetime symptoms and diagnosis of major depressive disorder in large-scale genetic studies in the general population: comparison of a clinical interview and a self-administered checklist

Lifetime and current depression in the German National Cohort (NAKO)

OBJECTIVES

The present study introduces the assessment of depression and depressive symptoms in the German National Cohort (NAKO), a population-based mega cohort. Distribution of core measures, and associations with sociodemographic factors are examined.

METHODS

The current analysis includes data from the first 101,667 participants (NAKO data freeze 100,000). Depression and depressive symptoms were assessed using a modified version of the depression section of the Mini-International Neuropsychiatric Interview (MINI), self-reported physician's diagnosis of depression, and the depression scale of the Patient Health Questionnaire (PHQ-9).

RESULTS

A lifetime physician's diagnosis of depression was reported by 15.0% of participants. Of those, 47.6% reported having received treatment for depression within the last 12 months. Of the subset of 26,342 participants undergoing the full depression section of the modified MINI, 15.9% were classified by the MINI with a lifetime depressive episode. Based on the PHQ-9, 5.8% of the participants were classified as currently having a major or other depression by the diagnostic algorithm, and 7.8% according to the dimensional assessment (score ≥ 10). Increased frequency of depression measures and higher depression scores were observed in women and participants with lower education level or a family history of depression.

CONCLUSIONS

The observed distributions of all depression measures and their associations with sociodemographic variables are consistent with the literature on depression. The NAKO represents a valuable epidemiologic resource to investigate depression, and the range of measures for lifetime and current depression allows users to select the most suitable instrument for their specific research question.

Adolescent depression beyond DSM definition: a network analysis

Calls for refining the understanding of depression beyond diagnostic criteria have been growing in recent years. We examined the prevalence and relevance of DSM and non-DSM depressive symptoms in two Brazilian school-based adolescent samples with two commonly used scales, the Patient Health Questionnaire (PHQ-A) and the Mood and Feelings Questionnaire (MFQ). We analyzed cross-sectional data from two similarly recruited samples of adolescents aged 14-16 years, as part of the Identifying Depression Early in Adolescence (IDEA) study in Brazil. We assessed dimensional depressive symptomatology using the PHQ-A in the first sample (n = 7720) and the MFQ in the second sample (n = 1070). We conducted network analyses to study symptom structure and centrality estimates of the two scales. Additionally, we compared centrality of items included (e.g., low mood, anhedonia) and not included in the DSM (e.g., low self-esteem, loneliness) in the MFQ. Sad mood and worthlessness items were the most central items in the network structure of the PHQ-A. In the MFQ sample, self-hatred and loneliness, two non-DSM features, were the most central items and DSM and non-DSM items in this scale formed a highly interconnected network of symptoms. Furthermore, analysis of the MFQ sample revealed DSM items not to be more frequent, severe or interconnected than non-DSM items, but rather part of a larger network of symptoms. A focus on symptoms might advance research on adolescent depression by enhancing our understanding of the disorder.

Depression in a youth population-based sample from Brazil: Prevalence and symptom structure

BACKGROUND

We aimed to examine the occurrence of major depressive disorder (MDD) in a population-based youth sample, assessing both categorical and dimensional presentations of the disorder and its clinical and sociodemographic correlates.

METHODS

We analyzed cross-sectional data from the latest assessment of the 1993 Pelotas Birth Cohort (n = 3,780), a population-based study from Brazil that followed individuals up to age 22 years. We estimated point-prevalence for categorical diagnosis of MDD and comorbid diagnoses using DSM criteria in a structured interview by trained psychologists. Dimensional symptomatology was assessed with the Brazilian Portuguese version of the Center for Epidemiological Studies-Depression Scale-Revised (CES-D-R).

RESULTS

Point-prevalence of a current unipolar major depressive episode was 2.85% (95%CI 2.37-3.43%). The CES-D-R showed a mean of 9.20 (SD=9.72), with an area under the curve of 0.93 (95%CI 0.91 to 0.95) for the categorical diagnosis of MDD using a cutoff point of 16. Sad mood and somatic symptoms were the most frequent, and also had lower levels of latent values required for endorsement. Sad mood and anhedonia items were the most central items in the network structure.

CONCLUSIONS

In a population-based sample of youths from a middle-income country, MDD prevalence estimates and comorbidity profile were consistent with previous global literature. A focus on symptoms might advance our understanding about MDD among youths by disentangling the heterogeneity of the disorder.

Plasma redox and inflammatory patterns during major depressive episodes: a cross-sectional investigation in elderly patients with mood disorders

BACKGROUND

While both depression and aging have been associated with oxidative stress and impaired immune response, little is known about redox patterns in elderly depressed subjects. This study investigates the relationship between redox/inflammatory patterns and depression in a sample of elderly adults.

METHODS

The plasma levels of the advanced products of protein oxidation (AOPP), catalase (CAT), ferric reducing antioxidant power (FRAP), glutathione transferase (GST), interleukin 6 (IL-6), superoxide dismutase (SOD), total thiols (TT), and uric acid (UA) were evaluated in 30 patients with mood disorders with a current depressive episode (depressed patients, DP) as well as in 30 healthy controls (HC) aged 65 years and over. Subjects were assessed with the Hamilton Depression Rating Scale (HAM-D), the Hamilton Rating Scale for Anxiety (HAM-A), the Geriatric Depression Rating Scale (GDS), the Scale for Suicide Ideation (SSI), the Reason for Living Inventory (RFL), the Activities of Daily Living (ADL), and the Instrumental Activity of Daily Living (IADL).

RESULTS

DP showed higher levels than HC of AOPP and IL-6, while displaying lower levels of FRAP, TT, and CAT. In the DP group, specific correlations were found among biochemical parameters. SOD, FRAP, UA, and TT levels were also significantly related to psychometric scale scores.

CONCLUSION

Specific alterations of redox systems are detectable among elderly DP.

Non-Suicidal Self-Injury Among Incarcerated Adolescents: Prevalence, Personality, and Psychiatric Comorbidity

Introduction: Incarcerated adolescents represent a risk group for non-suicidal self-injury (NSSI), but research on this population has been limited and no studies have been conducted in Russia. To address this deficit, this study examined NSSI and the factors associated with it among youth in a juvenile correctional facility in Russia. Methods: NSSI and psychopathology were assessed using a psychiatric interview and self-report questionnaire in 368 incarcerated male adolescents aged 14-19 years (mean age 16.4 years, S.D. 0.9) from Northern Russia. Results: 18.2% (N = 67) of the study participants had a history of NSSI and also had higher rates of anxiety, post-traumatic stress disorder (PTSD), depression, community violence exposure and scored higher on most of the Youth Self-Report problem scales. In addition, 31.3% of the NSSI group reported previous suicidal ideation and had thought about a specific suicide method compared to 12.0% in the No-NSSI group. Adolescents with NSSI also differed significantly from the No-NSSI group on self-directedness (lower) and self-transcendence (higher) personality traits. Conclusion: NSSI is common in incarcerated adolescents in Russia and is associated with extensive psychiatric comorbidity, suicidal ideation and specific personality traits.

Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective

Genome-wide association studies (GWAS) have been performed for many psychiatric disorders and revealed a complex polygenic architecture linking mental and physical health phenotypes. Psychiatric diagnoses are often heterogeneous, and several layers of trait heterogeneity may contribute to detection of genetic risks per disorder or across multiple disorders. In this review, we discuss these heterogeneities and their consequences on the discovery of risk loci using large-scale genetic data. We primarily highlight the ways in which sex and diagnostic complexity contribute to risk locus discovery in schizophrenia, bipolar disorder, attention deficit hyperactivity disorder, autism spectrum disorder, posttraumatic stress disorder, major depressive disorder, obsessive-compulsive disorder, Tourette’s syndrome and chronic tic disorder, anxiety disorders, suicidality, feeding and eating disorders, and substance use disorders. Genetic data also have facilitated discovery of clinically relevant subphenotypes also described here. Collectively, GWAS of psychiatric disorders revealed that the understanding of heterogeneity, polygenicity, and pleiotropy is critical to translate genetic findings into treatment strategies.

Self-rated depression and eye diseases: The Beijing Eye Study

Purpose

To assess the prevalence of depression in the general population of Beijing and its association with ocular diseases.

Methods

The population-based Beijing Eye Study was conducted in a rural and an urban region of Greater Beijing. The study participants underwent a detailed ophthalmological examination and an interview including questions on the socioeconomic background. Depressive symptoms were evaluated using a Chinese depression scale adapted from Zung´s self-rated depression scale. The total score of depression symptoms was 80. Depression was defined as having a depression score >44.

Results

Out of 3468 study participants, 3267 (94.2%) individuals (1419 men) with an age of 64.5±9.7 years (range: 50–93 years) participated in the interview and answered all questions on depression. The mean depression score was 25.0±5.9 (median: 23.3; range:20–64). Depression (depression score >44) was present in 66 individuals (2.0%; 95% confidence interval (CI): 1.5, 2.5), and 5 individuals (0.2%; 95%CI: 0.02,0.3) had a depression score ≥59. In multivariate regression, analysis, a higher depression score was associated (regression coefficient r²: 0.22) with a higher number of days with dry eye feeling (P<0.001; standardized regression coefficient beta: 0.09; non-standardized regression coefficient B: 0.20; 95%CI: 0.12,0.29) and shorter corneal curvature radius (P = 0.03;beta:-0.04; B:1.01; 95%CI: -1.90,-0.12), after adjusting for age, gender, region of habitation, body mass index, cognitive function score, life quality score and blood concentration of triglycerides. Adding age-related macular degeneration (P = 0.10), glaucoma (P = 0.77), diabetic retinopathy (P = 0.77), nuclear cataract (P = 0.35), cortical cataract (P = 0.58) or posterior subcapsular cataract (P = 0.28) as single parameters to the model revealed no significant correlation with the depression score. Lower best corrected visual acuity showed a marginal significant association (P = 0.05; beta: 0.04; B: 1.56; 95%CI: -0.01, 3.13).

Conclusions

Dry eye feeling was the only common ocular disorder associated with an increased depression score, while the occurrence of age-related macular degeneration, any type of glaucoma, diabetic retinopathy, any type of cataract and keratoconus were not significantly associated with an increased depression score. Lower visual acuity was marginally associated. The prevalence of depression in the population aged 50+ years in Greater Beijing was 2.0% (96%CI: 1.5, 2.5).