Onset Of Major Depressive Disorder Research Articles

Mindfulness-Based Cognitive Therapy in Recurrent MDD Patients With Residual Symptoms: Alterations in Resting-State Theta Oscillation Dynamics Associated With Changes in Depression and Rumination.

Many patients with major depressive disorder (MDD) suffer from residual symptoms. Rumination is a specific known risk factor for the onset, severity, prolongation, and relapse of MDD. This study aimed to examine the efficacy and EEG substrates of mindfulness-based cognitive therapy (MBCT) in alleviating depression and rumination in an MDD population with residual symptoms. We recruited 26 recurrent MDD individuals who had residual symptoms with their current antidepressants to participate in the 8-week MBCT intervention. We evaluated the efficacy and changes in the dynamics of resting-state theta rhythm after the intervention, as well as the associations between theta alterations and improvements in depression and rumination. The participants showed reduced depression, enhanced adaptive reflective rumination, and increased theta power and phase synchronization after MBCT. The increased theta-band phase synchronizations between the right occipital regions and the right prefrontal, central, and parietal regions were associated with reduced depression, while the increase in theta power in the left parietal region was associated with improvements in reflective rumination. MBCT could alleviate depression and enhance adaptive, reflective rumination in recurrent MDD individuals with residual symptoms through the modulation of theta dynamics in specific brain regions.

The Problem of Malnutrition Associated with Major Depressive Disorder from a Sex-Gender Perspective.

Major depressive disorder (MDD) is an incapacitating condition characterized by loss of interest, anhedonia and low mood, which affects almost 4% of people worldwide. With rising prevalence, it is considered a public health issue that affects economic productivity and heavily increases health costs alone or as a comorbidity for other pandemic non-communicable diseases (such as obesity, cardiovascular disease, diabetes, inflammatory bowel diseases, etc.). What is even more noteworthy is the double number of women suffering from MDD compared to men. In fact, this sex-related ratio has been contemplated since men and women have different sexual hormone oscillations, where women meet significant changes depending on the age range and moment of life (menstruation, premenstruation, pregnancy, postpartum, menopause…), which seem to be associated with susceptibility to depressive symptoms. For instance, a decreased estrogen level promotes decreased activation of serotonin transporters. Nevertheless, sexual hormones are not the only triggers that alter neurotransmission of monoamines and other neuropeptides. Actually, different dietary habits and/or nutritional requirements for specific moments of life severely affect MDD pathophysiology in women. In this context, the present review aims to descriptively collect information regarding the role of malnutrition in MDD onset and course, focusing on female patient and especially macro- and micronutrient deficiencies (amino acids, ω3 polyunsaturated fatty acids (ω3 PUFAs), folate, vitamin B12, vitamin D, minerals…), besides providing evidence for future nutritional intervention programs with a sex-gender perspective that hopefully improves mental health and quality of life in women.

Age-related heterogeneity revealed by disruption of white matter structural networks in patients with first-episode untreated major depressive disorder: WM Network In OA-MDD

The clinical treatment and prognosis of major depressive disorder (MDD) are limited by the high degree of disease heterogeneity. It is unclear whether there is a potential network mechanism for age-related heterogeneity. We aimed to uncover the heterogeneity of the white matter (WM) network at different ages of onset and its correlation with different symptom characteristics. 85 first-episode MDD patients and 84 corresponding healthy controls (HCs) were recruited and underwent diffusion tensor imaging scans. Structural network characteristics were analyzed using graph theory methods. We observed an accelerated age-related decline of the WM network in MDD patients compared with HCs. Distinct symptom-related networks were identified in three MDD groups with different onset-age. For early-onset MDD (18–29 years; EOD), higher guilt and loss of interest were correlated with the insula, and inferior parietal lobe which in default mode network and salience network. For mid-term-onset MDD (30–44 years; MOD), higher somatic symptoms were correlated with thalamus which in cortico-striatal-thalamic-cortical circuit. For later-onset MDD (45–60 years; LOD), poor sleep symptoms were correlated with the caudate in the basal ganglia, which suggests the cingulate operculum network in the control of sleep. These results supported a circuit-based heterogeneity associated with the age of onset in MDD. Understanding this circuit-based heterogeneity might help to develop a new target for clinical treatment strategies.

The yearly peak age of the onset of major depressive disorder over the past 5 years at a general hospital in Saudi Arabia

Objectives: Patients with major depressive disorder (MDD) do not exhibit usual mood swings and emotional reactions to difficulties in life. Patients with MDD experience specific symptoms such as decreased mood, loss of interest, and suicidal thoughts, particularly those with moderate, severe, or recurrent MDD. Depression can become a severe health condition, and MDD can lead to significant morbidity and mortality, and functional impairment. A total of 260 million people are diagnosed as having MDD worldwide, with a global prevalence of 3627 per 100,000 individuals.
 Methods and Materials: This cross-sectional study recruited 2894 patients who were interviewed at a psychiatric clinic and were diagnosed as having MDD from January 1, 2016, to December 31, 2020, at Hera General Hospital, Makkah, Saudi Arabia. From the hospital’s health information system, we extracted the following data using the patient arrival report for psychiatric clinics.
 Results: The mean age of MDD onset was 43 years in Saudi Arabia with a peak age between 35 and 40 years and an average age between 43 and 46 years.
 Conclusion: The mean and peak ages of MDD onset in Saudi Arabia differ from those in other countries. Our findings can help set a screening age for depression in the Saudi population in primary healthcare centers.

Community-Level Social Support Infrastructure and Adult Onset of Major Depressive Disorder in a South Asian Postconflict Setting

Individual-level social support protects against major depressive disorder (MDD) among adults exposed to trauma. Little is known about the consequences of community-level interventions in the general population. To determine the potential consequences of neighborhood social infrastructure on incident MDD in a high-risk general population. This longitudinal, multilevel study estimated associations between a neighborhood-level program in a case-control design and subsequent individual outcomes across 10 years (2006-2015) in a cohort of young adults. Exogenously placed social programs simulate natural experiment conditions in a high-poverty population experiencing armed conflict (1998-2006). The western Chitwan valley in Nepal has a general population at high risk of MDD, with neighborhoods exposed to interventions to improve social support. From a random sample (response rate 93%) selected to represent the general population in 2016, participants aged 25 to 34 years in 2006 were studied. These individuals resided within 149 neighborhoods that varied in their availability of active social support programs. The analyses were conducted between October 2020 and November 2021. The Small Farmers Development Program (SFDP) uses shared, joint liability financial credit among neighbors to build social capital and cohesion within neighborhoods. Onset of DSM-IV MDD after the conflict, assessed by the Nepal-specific, clinically validated World Mental Health Composite International Diagnostic Interview with a life history calendar. The hypothesis tested was that exposure to SFDP reduced adult onset of MDD. Of the 1917 survey participants, 886 (46.2%) were women, and 856 (44.7%) were of Brahmin or Chhetri ethnicity. Of the 149 neighborhoods, 21 had an active SFDP group, and 156 of 1917 (8.1%) participants experienced MDD between 2006 and 2015. Discrete-time hazard models showed participants living in neighborhoods with an SFDP experienced incident MDD at nearly half the rate as others (odds ratio = 0.55; 95% CI, 0.30-1.02; P = .06). A multivariate, multilevel matching analysis showed the incidence of MDD among adults living in neighborhoods with an SFDP was 19 of 256 (7.4%), compared with 33 of 256 (12.9%) in the matched sample with no SFDP (z = 2.05; P = .04). Living in a neighborhood with community-level social support infrastructure was associated with reduced subsequent rates of adult-onset MDD, even in this high-risk population. Investments in such infrastructure may reduce population-level MDD, supporting clinical focus on potentially unpreventable cases.

How Microbes Affect Depression: Underlying Mechanisms via the Gut-Brain Axis and the Modulating Role of Probiotics.

Accumulating evidence suggests that the gut microbiome influences the brain functions and psychological state of its host via the gut–brain axis, and gut dysbiosis has been linked to several mental illnesses, including major depressive disorder (MDD). Animal experiments have shown that a depletion of the gut microbiota leads to behavioral changes, and is associated with pathological changes, including abnormal stress response and impaired adult neurogenesis. Short-chain fatty acids such as butyrate are known to contribute to the up-regulation of brain-derived neurotrophic factor (BDNF), and gut dysbiosis causes decreased levels of BDNF, which could affect neuronal development and synaptic plasticity. Increased gut permeability causes an influx of gut microbial components such as lipopolysaccharides, and the resultant systemic inflammation may lead to neuroinflammation in the central nervous system. In light of the fact that gut microbial factors contribute to the initiation and exacerbation of depressive symptoms, this review summarizes the current understanding of the molecular mechanisms involved in MDD onset, and discusses the therapeutic potential of probiotics, including butyrate-producing bacteria, which can mediate the microbiota–gut–brain axis.

Gene-gene interaction and new onset of major depressive disorder: Findings from a Chinese freshmen nested case-control study

BackgroundThe gene-gene interaction is known to be the genetic cause of major depressive disorder (MDD). Several genes have been found to be related to MDD. The objectives of this study were to verify the susceptibility genes of MDD in a sample of university students in China, and to investigate possible gene-gene interactions in relation to the risk of MDD. Methods7,627 Chinese Han freshmen were enrolled at baseline survey in 2018. After a 2-year follow-up, 170 new onset MDD cases and 680 controls with DNA samples reserved were sequenced and genotyped for 4 selected Single Nucleotide Polymorphisms (SNPs) in a nested case-control study (ratio of 1:4). Chi-square test was used to identify the relationships between SNPs and risk of MDD. Generalized multifactor dimensionality reduction (GMDR) was used to analyze the gene-gene interactions. ResultsThe 2-year incidence of MDD in Chinese college students was 3.75% (95% CI: 3.24%, 4.34%). There was no statistical difference in MDD incidences between males (3.74%, 95% CI: 3.12%, 4.49%) and females (3.77%, 95% CI: 2.97%, 4.78%) (p>0.05). TMEM161B (rs768705) was positively associated with new onset MDD (χ2 = 0.75, p = 0.023). The AG genotype of rs768705 was significant (OR=1.640, 95%CI:1.414–2.358). The gene-gene interaction between TMEM161B (rs768705) and LHPP (rs35936514) was statistically significant in this nested case-control study (p = 0.011). The CV consistency was 9/10 and the testing accuracy was 0.5274. LimitationsThe results could not be inferred to other ethnics. ConclusionsThis study provided evidence that combined rs768705 (TMEM161B) and rs35936514 (LHPP) may modulate the risk of MDD.

Abstract- Poster

Background:Onset of major depressive disorder, recurrent, with seasonal pattern has a temporal relationship with particular time of year mostly fall-winter that remit by spring. Recurrent summer episodes occur only in a minority of cases. Present case has been having recurrent episodes for last 18 years.Method:A 36 year old female presented with complaints of low mood, suicidal attempts, repetitive suicidal thoughts, feelings of guilt, crying spells, loss of interest in household chores, irritability, disturbed sleep & reduced appetite for 11 months since March, 2020. Patient had 9 similar episodes of illness since 2003, each persisting from March to June. Patient was hospitalized. Detailed clinical evaluation including history taking, mental state examinations & relevant investigations was done. Patient had been on antidepressants(Escitalopram 20 mg, later Sertraline 150mg), benzodiazepine(Clonazepam 0.5 mg) & antipsychotic(Olanzapine 2.5 mg). She reached pre-morbid levels after each episode. Present episode continued even after adequate drug treatment. Electroconvulsive therapy was added to ongoing treatment & resulted in symptom remission.Result:Patient was diagnosed with major depressive disorder(recurrent), seasonal pattern – summer episodes. Post-ECT, Lithium was added, patient recovered & was discharged on April, 2021. Psychoeducation was provided regarding illness & treatment. Patient is on regular follow-up.Conclusion:Proper education about illness & treatment improves adherence which helps in preventing further episodes of recurrent illness.

Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies.

The neurobiological factors associated with the emergence of major depressive disorder (MDD) in adolescence are still unclear. Previous cross-sectional studies have documented aberrant connectivity in resting-state functional magnetic resonance imaging (rs-fMRI) networks. However, whether these findings precede MDD onset has not been established. This scoping review mapped key methodological aspects and main findings of longitudinal rs-fMRI studies of MDD in adolescence. Three sets of neuroimaging methods to analyze rs-fMRI data were identified: seed-based analysis, independent component analysis, and network-based approaches. Main findings involved aberrant connectivity within and between the default mode network (DMN), the cognitive control network (CCN), and the salience network (SN). Accordingly, we utilized Menon’s (2011) triple-network model for neuropsychiatric disorders to summarize key results. Adolescent MDD was associated with hyperconnectivity within the SN and between DMN and SN, as well as hypoconnectivity within the CCN. These findings suggested that dysfunctional connectivity among the three main large-scale brain networks preceded MDD onset. However, there was high heterogeneity in neuroimaging methods and sampling procedures, which may limit comparisons between studies. Future studies should consider some level of harmonization for clinical instruments and neuroimaging methods.

The specific phenotype of depression in recent onset schizophrenia spectrum disorders: A symptom profile and network comparison to recent onset major depressive disorder without psychotic features

The specific phenotype of depression in recent-onset schizophrenia spectrum disorders (SSD) and its relation to non-psychotic depression is unknown. Symptom profile and network analysis are complementary statistical techniques that may provide important insights into the presentation and relative importance of individual symptoms that give rise to depression. The aim of the current study was to characterise the profile and network of depressive symptoms in SSD and compare it to individuals with major depressive disorder (MDD) without psychotic features. This study involved analysis of baseline data pertaining to 109 individuals with comorbid SSD and depression and 283 with MDD without psychotic features. Study cohorts were the Psychosis Recent Onset GRoningen Survey (PROGR-S) and Youth Depression Alleviation (YoDA) trials, respectively. Profile and network analyses revealed that SSD and MDD differed in the profile and relative importance of individual depressive symptoms. While reported sadness was the primary hallmark of depression in both SSD and MDD, individuals with depression in SSD were more likely to sleep more, and have lower lassitude and pessimism. While sadness had great importance in MDD and SSD, in SSD but not MDD lassitude, sleep, appetite, concentration difficulties, and inability to feel were important in the network of depressive symptoms. The specific phenotype of depression might be different in SSD compared to MDD. Symptom inequivalence or underlying functional mechanisms in SSD might result in depression in SSD that is similar to MDD with atypical features.

Glucocorticoid Receptor–Dependent Astrocytes Mediate Stress Vulnerability

BackgroundMajor depressive disorder is a devastating psychiatric illness that affects approximately 17% of the population worldwide. Astrocyte dysfunction has been implicated in its pathophysiology. Traumatic experiences and stress contribute to the onset of major depressive disorder, but how astrocytes respond to stress is poorly understood. MethodsUsing Western blotting analysis, we identified that stress vulnerability was associated with reduced astrocytic glucocorticoid receptor (GR) expression in mouse models of depression. We further investigated the functions of astrocytic GRs in regulating depression and the underlying mechanisms by using a combination of behavioral studies, fiber photometry, biochemical experiments, and RNA sequencing methods. ResultsGRs in astrocytes were more sensitive to stress than those in neurons. GR absence in astrocytes induced depressive-like behaviors, whereas restoring astrocytic GR expression in the medial prefrontal cortex prevented the depressive-like phenotype. Furthermore, we found that GRs in the medial prefrontal cortex affected astrocytic Ca2+ activity and dynamic ATP (adenosine 5′-triphosphate) release in response to stress. RNA sequencing of astrocytes isolated from GR deletion mice identified the PI3K-Akt (phosphoinositide 3-kinase–Akt) signaling pathway, which was required for astrocytic GR–mediated ATP release. ConclusionsThese findings reveal that astrocytic GRs play an important role in stress response and that reduced astrocytic GR expression in the stressed subject decreases ATP release to mediate stress vulnerability.

NLRP3/caspase-1/GSDMD-mediated pyroptosis exerts a crucial role in astrocyte pathological injury in mouse model of depression.

Emerging evidence suggests that astrocyte loss is one of the most important pathological features in the hippocampus of patients with major depressive disorder (MDD) and depressive mice. Pyroptosis is a recently discovered form of programmed cell death depending on Caspase–gasdermin D (Casp-GSDMD), which is involved in multiple neuropsychiatric diseases. However, the involvement of pyroptosis in the onset of MDD and glial pathological injury remains obscure. Here, we observed that depressive mice showed astrocytic pyroptosis, which was responsible for astrocyte loss, and selective serotonin reuptake inhibitor (SSRI) treatment could attenuate the pyroptosis induced by the chronic mild stress (CMS) model. Genetic KO of GSDMD, Casp-1, and astrocytic NOD-like receptor protein 3 (NLRP3) inflammasome in mice alleviated depression-like behaviors and inhibited the pyroptosis-associated protein expression. In contrast, overexpression of astrocytic GSDMD–N-terminal domain (GSDMD-N) in the hippocampus could abolish the improvement of behavioral alterations in GSDMD-deficient mice. This work illustrates that targeting the NLRP3/Casp-1/GSDMD–mediated pyroptosis may provide potential therapeutic benefits to stress-related astrocyte loss in the pathogenesis of depression.

Evaluation of cognitive impairment in patients with major depressive disorder in remission

BackgroundCognitive symptoms are one of the core symptoms of depressive disorders with a bearing effect on functional outcomes. Cognitive symptoms, including poor concentration and difficulty making decisions, are one of the DSM-IV diagnostic criteria for major depressive disorder. This study was designed to evaluate cognitive deficits in a sample of adult patients with major depressive disorder (MDD) in remission. A cross-sectional study was done on 60 patients fulfilling the diagnostic criteria of MDD in remission state. In addition, 60 normal subjects with matched age, sex, and educational level were compared with the patients group. Participants in both patients and control groups were subjected to clinical assessment using Mini-International Neuropsychiatric Interview plus (MINI-plus), assessment of cognitive functions using Wechsler Memory Scale-Revised (WMS-R) short form, and Wisconsin Card Sorting Test (WCST).ResultsThere were statistically significant differences between patients and control groups regarding cognitive function. The patients group scored less in visual memory, verbal memory, attention/concentration, and psychomotor speed. They also performed poorly regarding executive functions. But there was no statistically significant difference between the patients and control groups regarding sustained attention and visuospatial function. No significant correlations did exist between age at onset of MDD and the duration of illness with different domains of cognitive function except for figural memory of WMS-R and categories completed of Wisconsin card sorting test.ConclusionPatients with MDD in remission experienced deficits in several cognitive functions when compared to matched control subjects. The cognitive functions do not reach normal levels of performance, particularly in visual memory and executive functioning with remission of depressive symptoms.

The importance of social activity to risk of major depression in older adults.

Several social determinants of health (SDoH) have been associated with the onset of major depressive disorder (MDD). However, prior studies largely focused on individual SDoH and thus less is known about the relative importance (RI) of SDoH variables, especially in older adults. Given that risk factors for MDD may differ across the lifespan, we aimed to identify the SDoH that was most strongly related to newly diagnosed MDD in a cohort of older adults. We used self-reported health-related survey data from 41 174 older adults (50-89 years, median age = 67 years) who participated in the Mayo Clinic Biobank, and linked ICD codes for MDD in the participants' electronic health records. Participants with a history of clinically documented or self-reported MDD prior to survey completion were excluded from analysis (N = 10 938, 27%). We used Cox proportional hazards models with a gradient boosting machine approach to quantify the RI of 30 pre-selected SDoH variables on the risk of future MDD diagnosis. Following biobank enrollment, 2073 older participants were diagnosed with MDD during the follow-up period (median duration = 6.7 years). The most influential SDoH was perceived level of social activity (RI = 0.17). Lower level of social activity was associated with a higher risk of MDD [hazard ratio = 2.27 (95% CI 2.00-2.50) for highest v. lowest level]. Across a range of SDoH variables, perceived level of social activity is most strongly related to MDD in older adults. Monitoring changes in the level of social activity may help identify older adults at an increased risk of MDD.

Impact of Depression Onset and Treatment on the Trend of Annual Medical Costs in Japan: An Exploratory, Descriptive Analysis of Employer-Based Health Insurance Claims Data.

IntroductionWe aimed to clarify medical expenses in Japanese individuals before and after major depressive disorder (MDD) diagnosis, and to determine whether MDD treatment also reduces medical costs for comorbid physical conditions.MethodsThis was an exploratory, descriptive, retrospective analysis of insurance claims data from JMDC Inc. Cohort A included individuals aged 18–64 years between January 2015 and December 2019. Cohorts B and C included Cohort A individuals with diabetes/hypertension (‘chronic disease’), and sleep/anxiety disorders (‘high depression risk’), respectively. Individuals in Cohorts A–C with an MDD diagnosis were analyzed by year of MDD onset (Cohorts A–CMDD2015–2019). Diagnoses and median medical costs were derived from International Classification of Diseases 10 codes.ResultsTotal medical and non-neuropsychiatric drug costs in MDD onset years were 170,390–182,120 and 8480–9586 yen higher, respectively, for Cohorts AMDD2015–2019 than for Cohort A. In Cohort AMDD2019, total medical and non-neuropsychiatric drug costs increased incrementally from 2015 to 2019 (total changes: + 165,130 and + 7365 yen, respectively), to a greater degree than in Cohort A (+ 10,510 and + 1246 yen, respectively). Neuropsychiatric drug costs increased in the year of MDD onset only and decreased thereafter. After MDD onset, decreases in total medical and non-neuropsychiatric drug costs were observed (Cohorts AMDD2015–2019). Non-neuropsychiatric drug costs also decreased after MDD onset in the chronic disease groups (Cohorts CMDD2015–2019), but not in patients with MDD recurrence.ConclusionTreating MDD reduces medical costs for comorbid physical conditions and may be a useful strategy for improving healthcare efficiency in Japan.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12325-021-01963-9.

Preventing the Onset of Major Depressive Disorder

Preventing the Onset of Major Depressive Disorder

Increased inflammation predicts nine-year change in major depressive disorder diagnostic status.

Cytokine theory of depression proposes that increased baseline inflammatory activity may accumulate over time and lead to future major depressive disorder (MDD). However, most research conducted on this topic has been cross-sectional and examined between- (vs. within-) persons and symptom severity (vs. diagnosis). Therefore, we tested if elevated inflammatory activity at Time 1 (T1) would predict future within-person 9-year change in MDD diagnosis. Community-dwelling adults (n = 945) participated in the Midlife Development in the United States (MIDUS) study. T1 and Time 2 (T2) MDD status was assessed using the Composite International Diagnostic Interview-Short Form, and markers of inflammatory activity at T1 were measured (e.g., levels of serum interleukin-6 [IL-6], C-reactive protein [CRP], fibrinogen). Latent change score modeling was conducted. Higher T1 IL-6, CRP, and fibrinogen levels of inflammatory activity predicted T1-T2 development/relapse of MDD within persons. This effect occurred more strongly among women (vs. men; d = .149 vs. .042), younger (vs. older) adults (d = .137 vs. .119), persons with more (vs. less) chronic health issues (d = .133 vs. .065), low- (vs. middle- or high-) income earners (d = .161 vs. .050), and persons with more (vs. less) frequent childhood trauma (d = .156 vs. .017). Findings aligned with expanded cytokine theories, which posit that the impact of increased T1 inflammatory activity on future change in MDD status will be larger for subgroups vulnerable to increased stress exposure. Cognitive-behavioral or pharmacological approaches to reduce markers of inflammatory activity may prevent development/relapse of MDD. General Scientific Summary: Increased C-reactive protein (CRP), fibrinogen, and interleukin-6 (IL-6) levels predicted 9-year major depressive disorder (MDD) diagnostic status change more strongly in younger than older adults, women but not men, those with low (vs. high) income, as well as persons with high (vs. low) childhood trauma frequency and number of chronic illnesses. Findings aligned with expanded cytokine theories (e.g., social signal transduction theory of depression), which posit that markers of inflammatory activity predict future change in MDD status especially for populations vulnerable to heightened, chronic, and long-term exposure to environmental stressors. Continued efforts to empirically test expanded cytokine theories of depression may improve delineation of patterns of health disparities and facilitate effective measures to prevent the onset or recurrence of MDD. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Association between sitting time at work and the onset of major depressive episode: a 1-year prospective cohort study using the Bayesian regression

BackgroundAlthough sedentary behavior is associated with the onset of major depressive disorder, it remains unclear whether sedentary behavior at work increases the risk of depression. The present study used the Bayesian approach to investigate the association between sitting time at work and the onset of major depressive episode (MDE).MethodsA 1-year prospective cohort study was conducted among 233 Japanese workers without MDE (response rate: 4.3%). MDE onset was assessed using the self-reported WHO Composite International Diagnostic Interview version 3.0. A Bayesian Cox proportional hazard model was used to estimate the hazard ratio (HR) between long sitting time at work and MDE onset.ResultsA total of 231 workers were included in the analysis. During the follow-up, 1621 person-months were observed, and six participants experienced MDE onset. Incident rates per months were 0.34, 0.11, and 1.02% in short (< 7.2 h per day), medium (7.2–9.5 h), and long (9.5+ h) sitting time at work, respectively. The estimated median posterior probability distribution of the HR of long sitting time was 3.00 (95% highest density interval [HDI]: 0.73–12.03). The estimated median remained positive after adjustment for physical activity level and other covariates (HR = 2.11, 95% HDI: 0.42–10.22). The 10-base Bayesian factor for H1 (HR = 1.00) compared with the alternatives (H0, HR = 1.00) was 0.68 in the adjusted model. The analysis, which treated sitting time at work as a continuous variable, estimated that the median of the posterior probability distribution of the HR of sitting time was 0.79 (95% HDI: 0.58–1.07. The 10-base Bayesian factor was 2.73 in the linear association.ConclusionsLong sitting time at work (9.5+ h per day) might be associated with MDE onset among workers. However, the linear association indicated conflicting results. Non-linear associations between sitting time and MDE onset might explain this inconsistency. The evidence for an adverse association between sitting time at work and MDE onset remains inconclusive.

Socioeconomic differences in major depressive disorder onset and the role of lifestyle factors

Abstract Background Major depressive disorder (MDD) onset strongly varies by socioeconomic position (SEP). One of the pathways that could explain the SEP-MDD onset relationship is via lifestyle factors, but little is known about this pathway. This study aims to disentangle the complex interplay between SEP measures, education, income and occupational prestige, and MDD development and to what extent the associations are mediated by lifestyle (related) factors, occupational and leisure time physical activity, smoking, alcohol intake, diet quality, sleep and central adiposity. Methods An adult subsample (n = 76,045) of the Lifelines Cohort Study without MDD at baseline was used. MDD onset was measured after a median follow-up time of 3.8 years with the Mini International Neuropsychiatric Interview (MINI). Direct associations between the SEP measures, the lifestyle factors and MDD onset were estimated, independent of age, sex, depression history and time between baseline and second assessment, using logistic regression analyses. Mediating percentages were estimated using the Karlson-Holm-Breen method. Results A total of 1,864 participants (2.5%) developed MDD during follow-up. Education, income and occupational prestige were inversely associated with MDD onset. Educational differences in MDD onset were for 18.7% explained by lifestyle factors, with smoking (9.1%) and central adiposity (6.7%) being the strongest mediating factors. Income differences in MDD onset were for 5.9% explained by lifestyle factors, with alcohol intake (4.0%) and central adiposity (2.6%) being the strongest mediating factors. Occupational prestige differences in MDD onset were not explained by lifestyle factors. Conclusions Individuals with a higher education, income or occupational prestige had a lower risk of MDD onset compared to their lower SEP counterparts. This was mainly due to a healthier lifestyle, with smoking, alcohol intake and central adiposity being the most important factors. Key messages Education, income and occupational prestige were inversely associated with MDD onset. Educational and income differences were mainly explained by smoking, alcohol intake and central adiposity.

Depression in Amputation Patients

Amputation alters the quality of life with an undeniable negative somatic and functional impact. The patient’s general mobility is impaired and there is an increase in metabolic needs as well as pain and discomfort. Etiologies are quite diverse: essentially vascular pathologies (74%) for the lower limbs and trauma related (61%) for the upper limbs. Thus, an important number of patients have to face amputation-related consequences. Pain (stump, phantom limb, back pain) is frequently described in 65 to 75% of patients after an amputation as well as the common onset of major depressive disorders for 35% of them. With the incidence of depression after limb amputation increasing in the patients, we sought to summarize the management of depression in amputation patients.