Depressive Symptom Dimensions Research Articles

Anhedonia is Associated with Overgeneralization of Conditioned Fear during Late Adolescence and Early Adulthood

BackgroundPavlovian fear paradigms involve learning to associate cues with threat or safety. Aberrances in Pavlovian fear learning correlate with psychopathology, especially anxiety disorders. This study evaluated symptom dimensions of anxiety and depression in relation to Pavlovian fear acquisition and generalization. Methods256 participants (70.31% female) completed a Pavlovian fear acquisition and generalization paradigm at ages 18-19 and 21-22 years. Analyses focused on indices of learning (self-reported US expectancy, skin conductance). Multilevel models tested associations with orthogonal symptom dimensions (Anhedonia-Apprehension, Fears, General Distress) at each timepoint. ResultsAll dimensions were associated with weaker acquisition of US expectancies at each timepoint. Fears was associated with overgeneralization only at age 21-22. General Distress was associated with overgeneralization only at age 18-19. Anhedonia-Apprehension was associated with overgeneralization at ages 18-19 and 21-22. ConclusionsAnhedonia-Apprehension disrupts Pavlovian fear acquisition and increases overgeneralization of fear. These effects may emerge during adolescence and remain into young adulthood. General Distress and Fears also contribute to overgeneralization of fear, but these effects may vary as prefrontal mechanisms of fear inhibition continue to develop during late adolescence. Targeting specific symptom dimensions, particularly Anhedonia-Apprehension, may decrease fear generalization and augment interventions built on Pavlovian principles, such as exposure therapy.

Transdiagnostic dimensions of symptoms and experiences associated with immune proteins in the continuity of psychosis.

There is limited evidence as to whether the immune protein profile is associated with a particular symptomatology pattern across the psychosis continuum. We estimated two bifactor models of general and specific dimensions of psychotic experiences in unaffected siblings of patients (n = 52) and community controls (n = 200), and of psychotic symptoms in first-episode psychosis (FEP) patients (n = 110). We evaluated associations between these transdiagnostic dimensions and trait (TNF-α, IFN-γ), state (IL-6, IL-1β), and regulatory (TGF-β, IL-10, IL-4) cytokines. We explored whether schizophrenia genetic liability (schizophrenia polygenic risk score; SZ-PRS) modified the associations. High levels of trait marker IFN-γ were associated with the severity of general psychosis dimension in the unaffected siblings and community controls, expanding to the depressive dimension in siblings and to the manic dimension in FEP. High TNF-α levels were associated with more positive psychotic experiences in unaffected siblings and manic symptoms in FEP. Low levels of state markers IL-6 and IL-1β were observed in unaffected siblings presenting more depressive experiences. Still, high levels of IL-6 and IL-1β were associated with the severity of the depressive and negative symptom dimensions at FEP. The severity of transdiagnostic dimension scores across the three groups was associated with lower regulatory cytokines. Exploratory analysis suggested that a high SZ-PRS contributed mostly to associations with psychotic dimensions. IFN-γ mapped onto the multidimensional expression of psychosis, reinforcing the trait concept. State markers IL-6 and IL-1β may fluctuate along the spectrum. Dysfunction in the regulatory arm may disinhibit the inflammatory system. Associations with psychotic dimensions may be more prone to SZ-PRS susceptibility.

Self-Critical Perfectionism and Anxious and Depressive Symptoms Over 2 Years: Moderated Mediation Models of Anxiety Sensitivity and Experiential Avoidance

This three-wave longitudinal study of 297 community adults (mean age = 38.66 years, 67% female) examined how anxiety sensitivity and experiential avoidance work together to explain the relation between perfectionism and anxious and depressive symptoms over 2 years. Participants completed measures of self-critical (SC) and personal standards (PS) higher-order dimensions of perfectionism, anxiety sensitivity, experiential avoidance, and anxious and depressive symptoms at Time 1. Participants completed measures of anxiety sensitivity, experiential avoidance, and symptoms again at Time 2 one year later, and symptoms measures again at Time 3 two years after baseline. Moderated mediation analyses showed that for those with higher Time 1 experiential avoidance, Time 1 SC perfectionism was indirectly related to Time 3 anxious arousal symptoms through Time 2 anxiety sensitivity. For those with moderate to higher Time 1 anxiety sensitivity, Time 1 SC perfectionism was indirectly associated with Time 3 general distress and anxious arousal symptoms through Time 2 experiential avoidance. These moderated mediation effects were not found for PS perfectionism. These results support anxiety sensitivity and experiential avoidance as moderating and mediating processes that may be important treatment targets for reducing vulnerability to anxious and depressive symptoms over the longer-term in SC perfectionistic individuals.

Association between attention performance and the different dimensions of DSM-5 depression symptoms.

Depressive symptoms can be assessed with self-reported questionnaires, such as the Patient Health Questionary-9 (PHQ-9). Previous studies have suggested that the PHQ-9 items can be grouped into somatic and non-somatic clusters. However, the classification of the PHQ-9 item "concentration difficulties" into somatic or non-somatic is still controversial. This controversy may be explained by difficulties experienced by subjects in accurately evaluating their attention problems. The primary objective of this study was to determine the correlation between objective attentional performance and the two clusters of depressive symptoms in hospital employees working in stressful conditions. The participants filled out the PHQ-9 to identify their depressive symptoms. Based on the PHQ-9, the somatic or non-somatic symptoms were measured without considering the question about subjective concentration difficulties. Then, a brief version of the Continuous Visual Attention Test (CVAT) was applied to assess four attentional subdomains. The CVAT is a Go/No-go task that measures number of correct responses (focused attention), number of incorrect responses (behavior-inhibition), average reaction time of correct responses (RT-alertness), and variability of reaction time (VRT-sustained attention). The entire task lasted 90 s. Correlation analyses assessed the relationships between attentional performance and the two dimensions of depressive symptoms. After applying the inclusion/exclusion criteria, 359 individuals were selected. Their age ranged from 20 to 70 years (mean = 40.5, SD = 10.37), and the majority was female (67.6%). A predominance in somatic depressive symptoms was present in 231 (64%) participants, whereas 59 (16%) showed a predominance of non-somatic symptoms. Sixty-nine participants (20%) did not show any predominance. Higher somatic scores were associated with higher RTs, whereas higher non-somatic scores were related to an increase in the number of incorrect responses. The predominance of the somatic cluster was related to lower alertness, whereas the predominance of non-somatic cluster was associated with impulsivity/hyperactivity. This result may explain the difficulties associated with correctly classifying the item concentration difficulties. A brief attentional task can be used as an auxiliary tool to correctly identify the different dimensions of attention that are associated with different clusters of depressive symptoms.

Assessing reliability and validity of the Chinese version of Crown–Crisp experience index and its application in coal miners

In China, coal miners are the primary workforce in coal mining, and among all patients with occupational diseases, 90% suffer from pneumoconiosis. Therefore, the psychological problems resulting from the dual pressures of occupational stress and the high risk of occupational diseases among coal miners are significant factors that affect the development of physical and mental health and even production safety. The Crown–Crisp Experience Index (CCEI) is a multidimensional questionnaire that assesses the psychological state of patients. This study aims to test reliability and validity of Chinese version of the CCEI questionnaire using factor analysis, and apply it to coal miners. We recruited a total of 900 participants from different occupational stages in coal mining, including active miners, Coal Workers’ Pneumoconiosis (CWP) patients, and retired miners, to evaluate the reliability and validity of the Chinese version of the CCEI questionnaire. A questionnaire survey was conducted on three groups of 1000 individuals each, including active coal miners, retired coal miners, and pneumoconiosis patients, to determine the detection rate of psychological problems in each group. An analysis was performed for each group to explore the primary factors influencing anxiety. The exploratory factor analysis yielded six principal components that accounted for a total of 79.389% of variances. The confirmatory factor analysis showed that the Chi-square freedom ratio (χ2/df) was 1.843, the root mean square error approximation was less than 0.044, and the comparative fit index was 0.938 and Tucker–Lewis index (TLI) was 0.934. The Cronbach's alpha coefficient was 0.948, and the scale-level content validity index (S-CVI) was 0.88. Effective questionnaires were obtained from 98.5%, 96.9%, to 91.0% of pneumoconiosis patients, active miners, and retired miners, respectively, with the incidence rates of psychological problems being 21%, 35.8%, and 13.6%, respectively. Compared with retired miners, active miners showed higher levels of psychological problems in the dimensions of depressive symptoms, free-floating anxiety and somatic symptoms, whereas pneumoconiosis patients had higher levels of psychological problems in the dimensions of phobic anxiety and somatic symptoms. This study demonstrates that the Chinese version of the CCEI is highly reliable and valid and can be used as a screening tool to measure patients' anxiety and fear levels in coal minders. Miners face distinct psychological challenges at different stages and require targeted screening and interventions.

Rumination as a Moderating Factor for Different Dimensions of Depressive and Anxiety Symptoms in Adolescents with Subthreshold Depression: a Multi-Wave Longitudinal Study

Rumination as a Moderating Factor for Different Dimensions of Depressive and Anxiety Symptoms in Adolescents with Subthreshold Depression: a Multi-Wave Longitudinal Study

Depressive symptoms and physical activity among young adult survivors of childhood cancer.

Young adult survivors of childhood cancers are less likely to be physically active compared to non-cancer affected controls, putting them at an increased risk for morbidity and mortality. Preliminary research has examined how mental health may contribute to physical activity (PA) in this population; however, those more recently diagnosed and Hispanic survivors have been understudied. The objectives were to examine associations of dimensions of depressive symptoms, demographic characteristics, and cancer-related predictors with PA among a diverse sample of young adult childhood cancer survivors. Participants (N=895) diagnosed with childhood cancer between 1996 and 2010 (53% Hispanic; Mage =26.2±4.9years; Mage =14.8±4.4years at diagnosis) were recruited from the Los Angeles County cancer registry. Self-report surveys assessed current PA, depressive symptoms (i.e., positive affect, negative affect, somatic symptoms, interpersonal problems), late effects of cancer treatment, and demographic factors. Multivariable ordinal regressions examined the study objectives. About 70% of participants engaged in low or moderate frequency PA (fewer than 3days a week). Participants who were older, female, Asian, or reported more late effects of cancer treatment were less likely to engage in PA. Greater positive affect was significantly associated with higher frequency PA, whereas negative affect, somatic symptoms, and interpersonal problems were not associated with PA. The findings suggests that positive-but not negative-mental health characteristics are more likely to facilitate or result from PA among young adult survivors of childhood cancers. Interventions seeking to increase PA may benefit from considering positive aspects of mental health/well-being.

Exploring the "Insight Paradox" in Treatment-Resistant Schizophrenia: Correlations Between Dimensions of Insight and Depressive Symptoms in Patients Receiving Clozapine.

There remains a lack of clarity as to the possible cross talk of insight into illness and depressive symptoms in treatment-resistant schizophrenia. We therefore set our primary aim to evaluate relationship between insight dimensions and depressive symptoms in patients with treatment-resistant schizophrenia receiving clozapine. This was a cross-sectional, non-interventional study, conducted in daily clinical practice conditions. Patients in outpatient clinics between March 2020 and May 2020 with treatment-resistant schizophrenia (based on Treatment Response and Resistance in Psychosis), with no comorbid psychiatric disorder, and with no body mass index greater than 40.0 kg/m2 were included. We collected sociodemographic variables, scores of insight dimensions (treatment compliance, illness recognition, and symptom relabeling with the Schedule for Assessment of Insight), and depressive symptoms with Calgary Depression Score for Schizophrenia. Linear regression models were used to investigate variables associated with depressive symptoms as the outcome of interest. The final analysis sample comprised 55 patients with treatment-resistant schizophrenia, with a mean age of 42.48 (SD = 9.18) years and a predominance of the male sex (n = 42, 76.9%). Model 1 [Calgary Depression Score for Schizophrenia ~ (Schedule for Assessment of Insight + Positive and Negative Syndrome Scale)] displayed that 48% of the variation in the Calgary Depression Score for Schizophrenia can be explained by Schedule for Assessment of Insight-composite and Positive and Negative Syndrome Scale-composite (P < .001). More effectively, model 2 [Calgary Depression Score for Schizophrenia ~ (Schedule for Assessment of Insight-illness recognition + Positive and Negative Syndrome Scale-general psychopathology)] revealed that 51% of the variation in the Calgary Depression Score for Schizophrenia can be explained by the sub-scales (P < .001). We further designed a new model in which Global Assessment of Functioning scores were the response variable to explore the link between awareness into illness and functionality (Global Assessment of Functioning ~ Schedule for Assessment of Insight-illness recognition). In this model, awareness of illness did not explain a significant proportion of variance in functionality scores (R 2 = 0.045, F(1,52) = 2.48, P = 0.121). The treatment compliance part of insight was not one of the significant explanatory variables of depressive symptoms, but it explained the variance in functioning, in contrast to the illness recognition dimension of insight. If our findings were replicated in treatment-resistant schizophrenia, they would suggest that promoting treatment compliance dimension of insight instead of recognition of illness could not increase depressive symptoms.

Depressive symptom dimensions predict the treatment effect of repetitive transcranial magnetic stimulation for post-stroke depression

ObjectiveRepetitive transcranial magnetic stimulation (rTMS) has attracted considerable attention because of its non-invasiveness, minimal side effects, and treatment efficacy. Despite an adequate duration of rTMS treatment, some patients with post-stroke depression (PSD) do not achieve full symptom response or remission. MethodsThis was a prospective randomized controlled trial. Participants receiving rTMS were randomly assigned to the ventromedial prefrontal cortex (VMPFC), left dorsolateral prefrontal cortex (DLPFC), or contralateral motor area (M1) groups in a ratio of 1:1:1. Enrollment assessments and data collection were performed in weeks 0, 2, 4, and 8. The impact of depressive symptom dimensions on treatment outcomes were tested using a linear mixed-effects model fitted with maximum likelihood. Univariate analysis of variance (ANOVA) and back-testing were used to analyze the differences between the groups. ResultsIn total, 276 patients were included in the analysis. Comparisons across groups showed that 17-item Hamilton Rating Scale for Depression (HAMD-17) scores of the DLPFC group significantly differed from those of the VMPFC and M1 groups at 2, 4, and 8 weeks after treatment (p < 0.05). A higher observed mood score (β = −0.44, 95% confidence interval [CI]: −0.85–0.04, p = 0.030) could predict a greater improvement in depressive symptoms in the DLPFC group. Higher neurovegetative scores (β = 0.60, 95% CI: 0.25–0.96, p = 0.001) could predict less improvement of depressive symptoms in the DLPFC group. ConclusionStimulation of the left DLPFC by high-frequency rTMS (HF-rTMS) could significantly improve depressive symptoms in the subacute period of subcortical ischemic stroke, and the dimension of depressive symptoms at admission might predict the treatment effect.

Trajectories of social isolation and depressive symptoms in mid- and later life: a parallel process latent growth curve analysis

Objectives Social isolation has subjective and objective dimensions. This study explored the change trajectories of both dimensions of isolation and depressive symptoms and their interrelationships in terms of levels and changes over time. Methods Data were drawn from the 2006–2018 Health and Retirement Study, involving a nationally representative sample of middle-aged and older adults (N = 7890). Parallel process latent growth curve models were used. Results Over time, objective isolation displayed a non-linear upward trend, subjective isolation displayed a non-linear downward trend, and depressive symptoms remained relatively stable. More objectively isolated people experienced smaller increases in objective isolation and more subjectively isolated people experienced smaller decreases in subjective isolation. Such negative intercept-slope associations were not observed for depressive symptoms. Net of sociodemographic characteristics, physical disabilities, functional limitations, and chronic diseases, each isolation dimension was associated with the level of depressive symptoms. But only the rate of change in subjective isolation was positively associated with that of depressive symptoms. Conclusion The initial level of objective isolation may be one of the common origins of subjective isolation and depressive symptoms. Recognition of such shared origins is important in mitigating the synergistic and deleterious effects of loneliness and depression in middle-aged and older adults.

Effects of chronotype on antidepressant treatment and symptoms in patients with depression: a multicenter, parallel, controlled study

AimTo analyze the changes of chronotypes in patients with depression before and after treatment, and explore the effects of different chronotypes on antidepressant treatment and the dimensions of common symptoms in patients with depression.Methods180 patients with depression were selected from 10 tertiary psychiatric hospitals in Zhejiang province, according to the scores of morningness-eveningness questionnaire (MEQ), the patients were divided into three groups: early-type group, middle-type group and late-type group. The 17-item Hamilton Depression Rating Scale (HAMD-17), Hamilton Anxiety Rating Scale anxiety Scale (HAMA), Snaith Hamilton Pleasure Scale (SHAPS), multidimensional fatigue inventory-20(MFI-20) and Pittsburgh sleep quality index (PSQI) were measured at baseline and at the end of the 2nd, 4th, 8th and 12th weeks, the variance analysis of repeated measures was used to analyze the change of each index in the study. The remission rate of depression at each time point was statistically analyzed.ResultsOf the 180 patients included in the study, 26 were lost to follow-up, and 154 were finally included in the analysis. At baseline, 14.93%, 56.5% and 28.57% of the subjects were diagnosed as middle-late type, middle-late type and early-late type respectively, the total scores of Shaps and MFI-20 in the early-type group were higher than those in the late-type group and the middle-type group (p < 0.05). During the 12-week antidepressant treatment period, the time effect of PSQI, Shaps, MFI-20 and MEQ had interaction with different time groups (p < 0.05). During the treatment, the multiple symptom dimensions of depression were improved to different degrees, but the changing trend was not the same, and the recovery of the anhedonia was obviously delayed, in early-type patients, there are many symptoms such as loss of pleasure and sleep disorders. There was no significant effect on the remission rate of depression in different time type (p > 0.05) .ConclusionThe disorder of chronotypes is common in patients with depression. The time effect of different time type on different symptom dimension of depression was affected, but the effect on remission rate of depression was not significant. To strengthen the management of biological chronotype rhythm in patients with depression may be of great significance in the treatment of depression.

Longitudinal associations among dimensional symptoms of depression and anxiety and first onset suicidal ideation in adolescents.

Depression and anxiety are implicated in suicide risk, but the contributionof specific symptom dimensions within these disorders is not well understood. The present study examined longitudinal associations of transdiagnostic symptoms (General Distress[GD]) and unique symptom dimensions (Anhedonia-Apprehension [AA], Fears, and Narrow Depression [ND]) of depression and anxiety and suicidal ideation (SI). Data from 551 adolescents oversampled on high neuroticism were examined in a series of discrete-time survival analyses to predict first SI onset over an 8-year period. Results indicate that GD, AA, and ND were independent predictors of increased likelihood of SI onset and remained significant when controlling for effects of fears. Furthermore, AA and GD remained significant when controlling for one another. ND effects reduced by 24% when adjusting for AA and 74% when adjusting for GD. Fears did not significantly predict SI onset. Results suggest that broad levels of distress across depression and anxiety, deficits in positive affect, and elevated negative affect specific to depression increase the likelihood of suicidal thoughts. As such, attention to broader distress and a lack of pleasure, interest, and motivation-potentially more so than negative affect characterizing depression-are particularly important for addressing suicide risk in adolescents.

The relationship between dimensions of empathy and symptoms of depression among university students during the COVID-19 pandemic: A network analysis.

The relationship between different dimensions of empathy and individual symptoms of depression during the COVID-19 pandemic remains unclear, despite the established link between empathy and depression. The network analysis offers a novel framework for visualizing the association between empathy and depression as a complex system consisting of interacting nodes. In this study, we investigated the nuanced associations between different dimensions of empathy and individual symptoms of depression using a network model during the pandemic. 1,177 students completed the Chinese version of the Interpersonal Reactivity Index (IRI), measuring dimensions of empathy, and the Chinese version of the Patient Health Questionnaire-9 (PHQ-9), measuring symptoms of depression. First, we investigated the nuanced associations between different dimensions of empathy and individual depressive symptoms. Then, we calculated the bridge expected influence to examine how different dimensions of empathy may activate or deactivate the symptoms of depression cluster. Finally, we conducted a network comparison test to explore whether network characteristics such as empathy-depression edges and bridge nodes differed between genders. First, our findings showed that personal distress was positively linked to symptoms of depression. These symptoms involved psychomotor agitation or retardation (edge weight = 0.18), sad mood (edge weight = 0.12), trouble with concentrating (edge weight = 0.11), and guilt (edge weight = 0.10). Perspective-taking was found to be negatively correlated with trouble with concentrating (edge weight = -0.11). Empathic concern was negatively associated with suicidal thoughts (edge weight = -0.10) and psychomotor agitation or retardation (edge weight = -0.08). Fantasy was not connected with any symptoms of depression. Second, personal distress and empathic concern were the most positive and negative influential nodes that bridged empathy and depression (values of bridge expected influence were 0.51 and -0.19 and values of predictability were 0.24 and 0.24, respectively). The estimates of the bridge expected influence on the nodes were adequately stable (correlation stability coefficient = 0.75). Finally, no sex differences in the studied network characteristics were observed. This study applied network analysis to reveal potential pathways between different dimensions of empathy and individual symptoms of depression. The findings supported the existing theoretical system and contribute to the theoretical mechanism. We have also made efforts to suggest interventions and preventions based on personal distress and empathic concern, the two most important dimensions of empathy for depressive symptoms. These efforts may help Chinese university students to adopt better practical methods to overcome symptoms of depression during the COVID-19 pandemic.

Longitudinal Trajectories of Post-Stroke Depression Symptom Subgroups

Background Post-stroke depressive symptoms are prevalent and impairing, and elucidating their course and risk factors is critical for reducing their public health burden. Previous studies have examined the course of post-stroke depression, but distinct depressive symptom dimensions (eg, somatic symptoms, negative affect [eg, sadness], anhedonia [eg, loss of interest]) may vary differently over time. Objective The present study examined within-person and between-person associations between depressive symptom dimensions across 3 timepoints in the year following discharge from in-patient rehabilitation hospitals, as well as the impact of multiple clinical variables (eg, aphasia). Methods Stroke survivors completed the Center for Epidemiologic Depression Scale (CES-D) at discharge from post-stroke rehabilitation (“T1”) and at 3-month (“T2”) and 12-month (“T3”) follow-ups. Scores on previously identified CES-D subscales (somatic symptoms, anhedonia, and negative affect) were calculated at each timepoint. Random intercept cross-lagged panel model analysis examined associations between symptom dimensions while disaggregating within-person and between-person effects. Results There were reciprocal, within-person associations between somatic symptoms and anhedonia from T1 to T2 and from T2 to T3. Neither dimension was predictive of, or predicted by negative affect. Conclusions The reciprocal associations between somatic symptoms and anhedonia may reflect a “vicious cycle,” and suggest these 2 symptom dimensions may be useful indicators of risk and/or intervention targets. Regularly assessing depression symptoms starting during inpatient rehabilitation may help identify stroke survivors at risk for depression symptoms and facilitate early intervention.

Associations of white blood cell and platelet counts with specific depressive symptom dimensions in patients with bipolar disorder: Analysis of data from the FACE-BD cohort

Evidences suggest that inflammation is increased in a subgroup of patients with depression. Moreover, increased peripheral inflammatory markers (cells and proteins) are associated with some, but not all depressive symptoms. On the other hand, similar studies on bipolar disorders mainly focused on blood cytokines. Here, we analysed data from a large (N = 3440), well-characterized cohort of individuals with bipolar disorder using Kendall partial rank correlation, multivariate linear regression, and network analyses to determine whether peripheral blood cell counts are associated with depression severity, its symptoms, and dimensions. Based on the self-reported 16-Item Quick Inventory of Depressive Symptomatology questionnaire scores, we preselected symptom dimensions based on literature and data-driven principal component analysis. We found that the counts of all blood cell types were only marginally associated with depression severity. Conversely, white blood cell count was significantly associated with the sickness dimension and its four components (anhedonia, slowing down, fatigue, and appetite loss). Platelet count was associated with the insomnia/restlessness dimension and its components (initial, middle, late insomnia and restlessness). Principal component analyses corroborated these results. Platelet count was also associated with suicidal ideation. In analyses stratified by sex, the white blood cell count-sickness dimension association remained significant only in men, and the platelet count-insomnia/restlessness dimension association only in women. Without implying causation, these results suggest that peripheral blood cell counts might be associated with different depressive symptoms in individuals with bipolar disorder, and that white blood cells might be implicated in sickness symptoms and platelets in insomnia/agitation and suicidal ideation.

Psychometric properties of the Sindhi version of the Mood and Feelings Questionnaire (MFQ) in a sample of early adolescents living in rural Pakistan.

There is a need for reliable and valid screening tools that assess depressive symptoms in adolescents in Pakistan. To address this need, the present study examined the psychometric properties and factor structure of a Sindhi-translated and adapted version of the child-report Mood and Feelings Questionnaire (MFQ-C) and the Short Mood and Feelings Questionnaire (SMFQ-C) in a community sample of adolescents living in Matiari, Pakistan. Questionnaires were translated into Sindhi and administered by study psychologists to 1350 participants (52.3% female) 9.0 to 15.9 years old. Measurement structure was examined using confirmatory factor analysis. Internal consistency was estimated, and convergent and divergent validity were explored using subscales from the Strengths and Difficulties Questionnaire and the Screen for Child Anxiety Related Emotional Disorders. The unidimensional structure of the MFQ-C was found to be adequate, but a four-factor structure comprising core mood, vegetative, cognitive and agitated distress symptoms best fit the data (CFI = 0.97, TLI = 0.97, RMSEA = 0.05). The original unidimensional structure of the SMFQ-C was supported (CFI = 0.97, TLI = 0.96, RMSEA = 0.07). The MFQ-C and the SMFQ-C respectively showed excellent (α = 0.92) and good internal consistency (α = 0.87) as well as satisfactory construct validity with some differences observed across the MFQ-C subscales. The SMFQ-C and the adapted MFQ-C appear to be reliable and valid measures of depressive symptoms among early adolescents living in rural Pakistan. Both total and subscale scores can be derived from the MFQ-C to assess general and specific dimensions of depressive symptoms in this population.

Ambient air pollution exposure and depressive symptoms: Findings from the French CONSTANCES cohort

Background and AimFew studies have reported the association between air pollution exposure with different dimensions of depression. We aimed to explore this association across different dimensions of depressive symptoms in a large population. MethodsData from the enrollment phase of the French CONSTANCES cohort (2012–2020) were analyzed cross-sectionally. Annual concentrations of particulate matter with a diameter < 2.5 µm (PM2.5), black carbon (BC), and nitrogen dioxide (NO2) from the land-use regression models were assigned to the residential addresses of participants. Total depressive symptoms and its four dimensions (depressed affect, disturbed interpersonal relations, low positive affect, somatic complaints) were measured using Centre of Epidemiologic Studies Depression questionnaire (CES-D). We reported results of negative binomial regression models (reported as Incidence Rate Ratio (IRR) and 95 % confidence interval (CI) for an interquartile range (IQR) increase in exposure), for each pollutant separately. Stratified analyses were performed by sex, income, family status, education, and neighborhood deprivation. ResultsThe study included 123,754 participants (mean age, 46.50 ± 13.61 years; 52.4 % women). The mean concentration of PM2.5, BC and NO2 were 17.14 µg/m3 (IQR = 4.89), 1.82 10-5/m (IQR = 0.88) and 26.58 µg/m3 (IQR = 17.41) respectively. Exposures to PM2.5, BC and NO2 were significantly associated with a higher CES-D total (IRR = 1.022; 95 % CI = 1.002: 1.042, IRR = 1.027; 95 % CI = 1.013: 1.040, and IRR = 1.029; 95 % CI = 1.015: 1.042 respectively), and with depressed affect, and somatic complaints. For all pollutants, a higher estimate was observed for depressed affect. We found stronger adverse associations for men, lower-income participants, low and middle education groups, those living in highly deprived areas, and single participants. ConclusionOur finding could assist the exploration of the etiological pathway of air pollution on depression and also considering primary prevention strategies in the areas with air pollution.

Neural effects of childhood maltreatment on dynamic large-scale brain networks in major depressive disorder

Emerging evidence suggests that childhood maltreatment (CM) alters trajectories of brain development to affect network architecture and is a risk factor for the development and maintenance of depression. The current study aimed to explore the association between CM and depressive severity on the large-scale resting-state networks (RSNs) level in major depressive disorder (MDD) patients and explored the network basis of clinical symptoms. 42 healthy controls without childhood maltreatment, 13 healthy controls with CM, 35 MDD without CM and 50 MDD with CM were included in the study population. Group differences in ten large-scale RSNs, associations between CM and depressive symptom dimensions and network variables were tested. And we explored whether symptom-related networks might discriminate between the four groups. We found one-versus-all-others-network showed an inverted U-shaped curve across groups. Network variables were significantly associated with Hamilton Depression Scale subscores and Childhood Trauma Questionnaire subscores. Different symptoms showed different imaging patterns, and overlapping connections of patterns had better ability to distinguish groups. Our findings suggest that CM could lead to significant changes in both network measures and connections in healthy individuals and MDD. These results deepen our understanding of the neuroimaging mechanisms of CM and MDD.

Connecting residual depressive symptoms to self-reported executive functioning: A network analytical approach

Persisting executive functioning (EF) impairments following remission from depression form an important source of disability in daily life. However, little is known regarding how specific aspects of EF relate to residual depressive symptomatology. Using network analysis, the current study investigates unique associations between cognitive-, affective-, and somatic depressive symptoms (Beck Depression Inventory 2nd edition, BDI-II) and self-reported EF (Behavior Rating Inventory of Executive Function – Adult version, BRIEF-A) in a sample of 161 remitted depressed individuals. We identified three clusters of closely connected nodes, corresponding with the Metacognition- and Behavioral Regulation Index of the BRIEF-A, and one cluster consisting of cognitive, affective-, and somatic depressive symptomatology. Among the clusters consisting of EF domains, working memory and shifting difficulties emerged as bridging nodes. Depressive cognition most strongly connected the cluster of depressive symptoms with the EF clusters. Depressive symptom dimensions demonstrated both shared and unique associations with EF domains. Each depressive symptom dimension was directly related to emotional control impairments. In addition, multiple associations were observed between depressive symptomatology and complaints at the level of working memory, shifting, and planning/organizing. Depressive affect was uniquely related to difficulties initiating activity. The current findings provide insights into the relationship between perceived difficulties in EF and residual depressive symptomatology. EF domains were differentially related to depressive symptom dimensions, suggesting the need for further research into the role of EF following remission from depression.

Network structure of time-varying depressive symptoms through dynamic time warp analysis in late-life depression.

ObjectivesLate‐life major depressive disorder (MDD) can be conceptualized as a complex dynamic system. However, it is not straightforward how to analyze the covarying depressive symptoms over time in case of sparse panel data. Dynamic time warping (DTW) analysis may yield symptom networks and dimensions both at the patient and group level.MethodsIn the Netherlands Study of Depression in Older People (NESDO) depressive symptoms were assessed every 6 months using the 30‐item Inventory of Depressive Symptomatology (IDS) with up to 13 assessments per participant. Our sample consisted of 182 persons, aged ≥ 60 years, with an IDS total score of 26 or higher at baseline. Symptom networks dimensions, and centrality metrics were analyzed using DTW and Distatis analyses.ResultsThe mean age was 69.8 years (SD 7.1), with 69.0% females, and a mean IDS score of 38.0 (SD = 8.7). DTW enabled visualization of an idiographic symptom network in a single NESDO participant. In the group‐level nomothetic approach, four depressive symptom dimensions were identified: “core symptoms”, “lethargy/somatic”, “sleep”, and “appetite/atypical”. Items of the “internalizing symptoms” dimension had the highest centrality, whose symptom changes over time were most similar to those changes of other symptoms.ConclusionsDTW revealed symptom networks and dimensions based on the within‐person symptom changes in older MDD patients. Its centrality metrics signal the most influential symptoms, which may aid personalized care.