Cognitive-affective Symptoms Research Articles

Associations between biomarkers of inflammation and depressive symptoms—potential differences between diabetes types and symptom clusters of depression

Inflammation is a probable biological pathway underlying the relationship between diabetes and depression, but data on differences between diabetes types and symptom clusters of depression are scarce. Therefore, this cross-sectional study aimed to compare associations of a multimarker panel of biomarkers of inflammation with depressive symptoms and its symptom clusters between people with type 1 diabetes (T1D) and type 2 diabetes (T2D). This cross-sectional study combined data from five studies including 1260 participants (n = 706 T1D, n = 454 T2D). Depressive symptoms were assessed using the Center for Epidemiological Studies-Depression Scale (CES-D). Serum levels of 92 biomarkers of inflammation were quantified with proximity extension assay technology. After quality control, 76 biomarkers of inflammation remained for statistical analysis. Associations between biomarkers and depressive symptom scores and clusters (cognitive-affective, somatic, anhedonia) were estimated with multivariable linear regression models. Nine biomarkers were positively associated with depressive symptoms in the total sample (CCL11/eotaxin, CCL25, CDCP1, FGF-21, IL-8, IL-10RB, IL-18, MMP-10, TNFRSF9; all p < 0.05) without interaction by diabetes type. Associations differed for eight biomarkers (pinteraction < 0.05). TNFβ was inversely associated with depressive symptoms in T1D, whereas three biomarkers (GDNF, IL-18R1, LIF-R) were positively associated with depressive symptoms in T2D. For the remaining four biomarkers (CD6, CD244, FGF-5, IFNγ) associations were not significant in either subgroup. Biomarker associations were more pronounced with somatic and anhedonia than with cognitive-affective symptoms. These results indicate that different proinflammatory pathways may contribute to depression in T1D and T2D and that there may be a symptom specificity in the link between subclinical inflammation and depression.

Changes in Resting-State Functional Connectivity and Cognitive-Affective Symptoms in Patients With Post-Concussion Syndrome Treated With N-Acetyl Cysteine.

Concussion accounts for more than 80% of people experiencing traumatic brain injury. Acute concussion is associated with characteristic cognitive and functional deficits that may persist for weeks to months. A subgroup of these patients (from 10% to 50%) have persistent symptoms referred to as chronic post-concussion syndrome (PCS). There are limited treatment options for these patients and the pathophysiology is poorly understood, though oxidative stress is thought to be a contributing factor. The purpose of this study was to evaluate whether an antioxidant, N-acetylcysteine (NAC), might be beneficial in patients with PCS. Outpatient medicine center. Fifty patients with chronic PCS for at least 3 months post injury. The patients with PCS were enrolled in this randomized unblinded clinical trial to receive the antioxidant NAC as a combination of daily oral and weekly intravenous infusions, or assigned to a waitlist control group where they would continue to receive standard of care. Resting-state functional connectivity (FC) magnetic resonance imaging (rsFC-MRI) was performed pre and post either NAC or the waitlist period along with cognitive, emotional, and sensory symptom assessments. The results demonstrated significant (P <.05) improvements in symptoms as determined by the Rivermead Post-Concussion Symptoms Questionnaire, Spielberger State-Trait Anxiety Inventory, and Profile of Mood Scale in the PCS group receiving NAC as compared to patients receiving ongoing standard care. Importantly, there were significant (P<.01) changes in FC in the NAC group, particularly in networks such as the default mode network, salience network, and executive control network. These changes in FC also correlated with improvements in symptoms. In patients with chronic PCS, NAC treatment was associated with significant changes in resting state FC and improvement in a variety of symptoms, particularly cognitive and affective symptoms.

Gender differences in the relationship between depressive symptoms and diabetes associated with cognitive-affective symptoms.

Despite the frequent co-occurrence of depression and diabetes, gender differences in their relationship remain unclear. This exploratory study examined if gender modifies the association between depressive symptoms, prediabetes and diabetes with cognitive-affective and somatic depressive symptom clusters. Cross-sectional analyses were conducted on 29 619 participants from the 2007-2018 National Health and Nutrition Examination Survey. Depressive symptoms were measured by the nine-item Patient Health Questionnaire. Multiple logistic regression was used to analyse the relationship between depressive symptoms and diabetes. Multiple linear regression was used to analyse the relationship between depressive symptom clusters and diabetes. The odds of having depressive symptoms were greater in those with diabetes compared to those without. Similarly, total symptom cluster scores were higher in participants with diabetes. Statistically significant diabetes-gender interactions were found in the cognitive-affective symptom cluster model. Mean cognitive-affective symptom scores were higher for females with diabetes (coefficient = 0.23, CI: 0.10, 0.36, P = 0.001) than males with diabetes (coefficient = -0.05, CI: -0.16, 0.07, P = 0.434) when compared to the non-diabetic groups. Diabetes was associated with higher cognitive-affective symptom scores in females than in males. Future studies should examine gender differences in causal pathways and how diabetic states interact with gender and influence symptom profiles.

Eight-year total, cognitive-affective, and somatic depressive symptoms trajectories and risks of cardiac events

In this study, we analyzed pooled data from two prospective population-based cohorts—the Health Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA)—to explore the association between trajectories of depressive symptoms and the risk of cardiac events. Depressive symptoms were assessed using the 8-item CES-D scale and categorized into somatic and cognitive-affective subtypes. Trajectories were tracked for four surveys from baseline. Heart disease was identified based on self-reported physician-diagnosed conditions. Hazard ratios and 95% confidence intervals were calculated with Cox proportional risk models that adjusted for potential confounders. In total, 17,787 subjects (59.7% female, median age 63 years) were enrolled at baseline. During a 10-year follow-up, 2409 cases of heart disease were identified. Participants with fluctuating (HR = 1.13, 95% CI: 1.06–1.20), increasing (HR = 1.43, 95% CI: 1.25–1.64), and consistently high (HR = 1.64, 95% CI: 1.45–1.84) depressive symptom trajectories exhibited an increased risk of heart disease compared to those with consistently low depressive symptoms, while a decreasing (HR = 1.07, 95% CI: 0.96–1.19) depressive symptom trajectory did not significantly affect the risk of heart disease. Moreover, the association between heart disease and somatic depressive symptoms was found to be stronger than with cognitive-affective symptoms. These findings suggest a significant link between depressive symptom trajectories and heart disease, with particular emphasis on stronger associations with somatic symptoms. It is recommended that the identification and management of depressive symptoms be incorporated into heart disease prevention strategies.

A longitudinal study of the mediator role of physical activity in the bidirectional relationships of cognitive function and specific dimensions of depressive symptoms

BackgroundThe bidirectional relationship between cognitive function and depressive symptoms has been extensively reported. However, the potential mechanisms are still not clear. We aim to longitudinally investigate whether physical activity mediates the bidirectional relationships between cognitive function and specific dimensions of depressive symptoms. MethodsData from 6,787 individuals aged ≥50 of 2014/15 (T1), 2016/17 (T2), and 2018/19 (T3) waves of the English Longitudinal Study of Ageing (ELSA). Cognitive function was assessed by domains of memory, orientation in time, and executive function. Physical activity was measured with the intensity and frequency of participation. Specific dimensions of depressive symptoms were assessed by the 8-item Center for Epidemiologic Studies Depression Scale, distinguishing between cognitive-affective and somatic symptoms. Cross-lagged panel models were used to investigate the mediating role of physical activity in the bidirectional relationships between cognitive function and two dimensions of depressive symptoms. ResultsPoorer cognitive function was indirectly associated with worse cognitive-affective symptoms (indirect effect = −0.002, 95%CI: −0.004, −0.001) through lower physical activity levels. Poorer cognitive function was also indirectly associated with worse somatic symptoms (indirect effect = −0.003, 95%CI: −0.006, −0.002) through lower physical activity levels, and the reverse mediation was observed as well (indirect effect = −0.002, 95%CI: −0.004, −0.001). LimitationsThere is no distinction between potential within-person and between-person effects. ConclusionsCollaborative interventions of physical activity are beneficial in protecting cognitive function and mental health in older adults.

A latent class analysis of cognitive-affective heterogeneity in current intermittent explosive disorder

Intermittent Explosive Disorder (IED) is a common, chronic, and impairing psychological condition characterized by recurrent, affective aggressive behavior. IED is associated with a host of cognitive and affective symptoms not included in the diagnostic criteria which may be a valuable indicator of heterogeneity in IED—such information can be useful to enhance understanding and treatment of this disorder in mental health settings. A preliminary investigation conducted on cognitive-affective symptom heterogeneity in individuals with a history of IED demonstrated that level of emotional dysregulation primarily differentiated IED subgroups, however the sample size was limited, and almost half of the individuals did not have current IED (only lifetime IED). The present study addressed these limitations by conducting a latent class analysis of cognitive-affective symptoms among a large (n = 504) sample of individuals diagnosed with current IED. The latent IED classes were then externally validated on several adverse outcomes, historical precursors, and demographic variables. Statistical and clinical indicators supported a four-class model, with classes primarily distinguished by patients' severity of emotion dysregulation. The two moderate emotion-dysregulated classes both endorsed callous-unemotional traits and low empathy relative to other classes, a finding which differs from the initial investigation. An external validation of the four classes revealed that they significantly differed on severity outcomes (e.g., aggression, suicide attempts, antisocial behavior, global functioning, comorbidities) and historical precursors (e.g., aversive parental care, childhood maltreatment). These findings provide further insight into the heterogeneity within IED and the associations of such variability with important precursors and clinical outcomes.

Factor Structures in the Depressive Symptoms Domains in the 9Q for Northern Thai Adults and Their Association with Chronic Diseases.

Most of the common models to examine depression are one-factor models; however, previous studies provided several-factor structure models on each depressive symptom using the Patient Health Questionnaire-9 (PHQ-9). The Nine-Questions Depression-Rating Scale (9Q) is an alternative assessment tool that was developed for assessing the severity of depressive symptoms in Thai adults. This study aimed to examine the factor structure of this tool based on the factor structure models for the PHQ-9 provided in previous studies using confirmatory factor analysis (CFA). We also examined the association of chronic diseases and depressive symptoms using the Multiple Indicators Multiple Causes model among 1346 participants aged 19 years old or more without psychiatric disorders. The results show that the two-factor CFA model with six items in the cognitive-affective domain and three items in the somatic domain provided the best fit for depressive symptoms in the study population (RMSEA = 0.077, CFI = 0.953, TLI = 0.936). Dyslipidemia was positively associated with both cognitive-affective symptoms (β = 0.120) and somatic depressive symptoms (β = 0.080). Allergies were associated with a higher level of cognitive-affective depressive symptoms (β = 0.087), while migraine (β = 0.114) and peptic ulcer disease (β = 0.062) were associated with a higher level of somatic symptoms. Increased age was associated with a lower level of somatic symptoms (β = -0.088). Our findings suggested that considering depressive symptoms as two dimensions yields a better fit for depressive symptoms. The co-occurrence of chronic diseases associated with depressive symptoms should be monitored.

The Association Between Depressive Symptoms and the Weekly Duration of Physical Activity Subset by Intensity and Domain: Population-Based, Cross-Sectional Analysis of the National Health and Nutrition Examination Survey From 2007 to 2018.

Prior literature suggests a dose-response relationship between physical activity (PA) and depressive symptoms. The intensity and domain of PA are suggested to be critical to its protective effect against depression; however, existing literature has shown mixed results. The purpose of this population-based study is to examine the associations between depressive symptoms and weekly duration of (1) total PA and (2) PA subset by intensity, domain, or both. A cross-sectional analysis of National Health and Nutrition Examination Survey data from 2007 to 2018 was conducted using multivariable logistic and linear regression models and survey weights. Participants (N=29,730) were 20 years and older and completed the Physical Activity Questionnaire and Depression Screener. The primary outcome was the presence of depressive symptoms, and the secondary outcomes were cognitive-affective and somatic symptoms of depression. Participants (N=29,730) had a weighted mean age of 47.62 (SD 16.99) years, and 15,133 (51.34%) were female. On average, participants without depressive symptoms engaged in 10.87 hours of total PA per week, whereas participants with depressive symptoms engaged in 8.82 hours (P<.001). No significant associations were seen between the weekly duration of total PA and depressive symptom odds, somatic, or cognitive-affective symptoms (all P>.05). Participants with an increased weekly duration of recreational PA had decreases in depressive symptom odds (adjusted odds ratio [aOR] 0.965, 95% CI 0.944-0.986) and in somatic (adjusted coefficient [aβ]=-0.016, 95% CI -0.022 to -0.009) and cognitive-affective (aβ=-0.015, 95% CI -0.023 to -0.007) symptoms. When recreational PA was subset by intensity, participants with an increased weekly duration of vigorous-intensity recreational PA had decreases in depressive symptom odds (aOR 0.926, 95% CI 0.883-0.972) and in somatic (aβ=-0.021, 95% CI -0.032 to -0.010) and cognitive-affective (aβ=-0.022, 95% CI -0.035 to -0.009) symptoms. However, significant associations were not seen for the weekly duration of work-related, moderate- or vigorous-intensity PAs (all P>.05). Findings suggest that recreational, not work-related PA is associated with reduced symptoms of depression. Future studies should explore the impact of the different types and contexts of PA on depressive symptomatology.

Anime watching in childhood may affect suicidal risk factors in adult life

Introduction Suicide is one of the leading causes of death worldwide being the fourth major cause of death among young people 15-29 years old. The reduction of suicide mortality is prioritized by the World Health Organization (WHO, 2019). There is a number of internal and external factors associated with suicidality (Soto-Sanz V et al., 2019; Farbstein et al., 2022.). Special attention is paid to the influence of the social media on suicidality (Cheng A. T. A. et al., 2007; Niederkrotenthaler T. et al., 2020; Sedgwick R. et al., 2019). In the Russian Federation, anime, an animation genre and a media cultural phenomenon, is increasingly popular among young people. Characters who are lonely and lost their meaning of life are common in anime. Romanticization and idealization of such characters may lead to increased attractiveness of death and thus have a negative effect on the mental health of adolescents and young adults due to their incomplete identity development (Liu Y. et al., 2022; Backer, H. A., 2023).ObjectivesWe aimed to study the influence of the anime on the presence of suicidality and depression in adolescents and young adults in the Russian Federation.Methods We interviewed 304 people living in the Russian Federation and watching anime on the regular basis (244 women, mean age 20.9 ± 3.8 years, range 13-36 years). We collected sociodemographic data and age when a person had started watching anime. We performed Reasons for Living Inventory, RFL (M. Linehan et al., 1983), Beck Depression Inventory, BDI (Aaron Beck, 1961). We divided all participants into three groups according to their age: adolescents (13-19 years), young people (20-24 years), adults (25-36 years). In each group, we compared BDI: level of depressive symptoms, cognitive-affective subscale, subscale of somatic manifestations of depression; RFL scales: Survival coping beliefs, responsibility to family, child related concerns, fear of suicide, fear of social disapproval, moral objections between three subgroups based on the age of the anime watching start (&lt;12 years old, 12-15 years old, ≥16 years old) using Kruskall-Wallis test and post hoc Mann-Whitney U-test for pair comparisons with Bonferroni correction for multiple comparisons. Level of significance p&lt;0.05.ResultsIn the adolescents (n=130), we did not find any differences between the three subgroups. In the young people (n=127), participants who had started watching anime in childhood (&lt;12 years old) had higher level of depression (p= 0,014) and higher level of cognitive-affective symptoms (p= 0,006). In the adults (n=47), participants who had started watching anime in childhood had decreased moral attitudes contrary to suicide (p= 0,004). Other scales not found to differ significantly.ConclusionsStart of the anime watching in childhood (&lt;12 years old) was associated with increased suicidal risk factors and decreased anti-suicidal factors in the young adults.Disclosure of InterestNone Declared

Utility of in-session assessments during cognitive behavioral therapy for depression after traumatic brain injury: Results from arandomized controlled trial.

The development of depression after moderate to severe traumatic brain injury (TBI) is common. Cognitive-behavioral therapy (CBT) can be used to treat post-TBI depression, but the symptoms response is poorly described. This secondary analysis assessed: (1) the trajectory of depression symptoms up to 12 sessions of CBT, (2) which depressive symptom clusters were responsive to in-person and phone CBT, and (3) whether interim depression thresholds predict 16-week treatment response. This secondary analysis of the IRB-approved Life Improvement Following Traumatic Brain Injury trial included 100 adults with major depressive disorder (MDD) within ten years of moderate to severe traumatic brain injury from throughout the US. We used a combination of descriptive, graphical, and diagnostic accuracy methods. Cardinal and cognitive-affective symptom clusters improved most from CBT over 16 weeks. At 8 and 16 weeks, the most responsive individual symptoms were anhedonia, depressed mood, and fatigue; the least responsive were sleep and appetite. PHQ-9 thresholds with a Negative Predictive Value greater than 0.7 for sessions 6, 7, and 8 were, respectively: >15, >10, and >9. In-person and phone CBT led to similar symptom responses during treatment. Additionally, using PHQ-9 thresholds for predicting intervention response within eight sessions may help identify the need for treatment adjustments.

The Role of Emotion Dysregulation in Heightened Alcohol Craving Related to Posttraumatic Stress Disorder and Depression Symptoms

Objective: Compared to their male counterparts, women with alcohol use disorders (AUD) alone and those with symptoms of co-occurring emotional disorders (posttraumatic stress disorder, PTSD, and depression) are particularly likely to have increased alcohol craving in response to negative affect and daily stressors. Emotion dysregulation is one transdiagnostic construct that may underlie heightened craving in response to stress within this population. In a secondary data analysis, the current study examined emotion dysregulation as a mediator of the associations of posttraumatic stress symptoms (PTSS) and depression symptoms with heightened stress-induced alcohol craving, as measured in the lab. Given the overlap in symptoms, the relative associations of PTSD and depression symptom clusters with stress-induced craving were explored. Method: 50 women Veterans (84% White, 88% Non-Hispanic, Mage=45.68) attended two in-lab sessions. Self-report measures of emotion dysregulation, PTSD, and depression symptoms were administered at baseline. During session two, participants reported on alcohol craving and negative affect at baseline and again after a personalized stress induction procedure. Results: Emotion dysregulation mediated the association of greater PTSS with heightened stress-induced craving, although emotion dysregulation was not a mediator of the association between depression and stress-induced craving. Greater alcohol craving after the stress induction was positively associated with cognitive-affective symptoms in PTSD and depression (and not with other symptom clusters of these diagnoses, e.g., avoidance, somatic-vegetative symptoms). Conclusions: Emotion dysregulation may be a transdiagnostic factor that helps to explain greater alcohol cravings and drinking in stressful contexts among women Veterans with heightened symptoms of co-occurring emotional disorders.

Dynamic relationships among feeling fat, fear of weight gain, and eating disorder symptoms in an eating disorder sample

Feeling fat and fear of weight gain are key cognitive-affective symptoms that are theorized to maintain eating disorders (EDs). Little research has examined the dynamic relationships among feeling fat, fear of weight gain, emotions, cognitions, and ED behaviors. Furthermore, it is unknown if these relations vary by ED diagnosis (e.g., anorexia nervosa (AN) vs other ED). The current study (N = 94 ED participants; AN n = 64) utilized ecological momentary assessments collected four times a day for 18 days (72 timepoints) asking about feeling fat, fear of weight gain, emotions (i.e., anxiety, guilt), cognitions (i.e., feelings of having overeaten, thoughts about dieting), and ED behaviors (i.e., vomiting, diuretic/laxative use, excessive exercise, body checking, self-weighing, binge-eating, restriction) at stressful timepoints (contemporaneous [mealtime], and prospective/temporal [next-meal]). Multilevel modeling was used to test for between and within-person associations. Higher feeling fat and fear of weight gain independently predicted higher next-meal emotions (i.e., anxiety, guilt), cognitions (i.e., feelings of having overeaten, thoughts about dieting, fear of weight gain, feeling fat), and ED behaviors (i.e., body checking, self-weighing [feeling fat]). There were relationships in the opposite direction, such that some emotions, cognitions, and ED behaviors prospectively predicted feeling fat and fear of weight gain, suggesting existence of a reciprocal cycle. Some differences were found via diagnosis. Findings pinpoint specific dynamic and cyclical relationships among feeling fat, fear of weight gain, and specific ED symptoms, and suggest the need for more research on how feeling fat, fear of weight gain and cognitive-affective-behavioral aspects of ED operate. Future research can test if treatment interventions targeted at feeling fat and fear of weight gain may disrupt these cycles.

A psychometric evaluation of the 16-item PHQ-ADS concomitant anxiety and depression scale in the UK biobank using item response theory

BackgroundThe Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS) provides a reliable and valid measure of concomitant depression and anxiety. However, research on its psychometric efficiency and optimal scale length using item-response theory (IRT) has not been reported. This study aimed to optimize the length of the PHQ-ADS scale without losing information by discarding items that were a poor fit to the IRT model. MethodsThe UK Biobank is a large cohort study designed to investigate risk factors for a broad range of disease. PHQ-ADS data were available from n = 152,826 participants (age = 55.87 years; SD = 7.73; 56.4 % female), 30.4 % of the entire UK Biobank sample. Psychometric properties of the PHQ-ADS were investigated using a 2-parameter IRT and Mokken analysis. Item statistics included discrimination, difficulty and Loevinger H coefficients of monotonicity. ResultsIn the entire 16-item scale, item discrimination ranged from 1.40 to 4.22, with the item ‘worrying’ showing the highest level of discrimination and the item ‘sleep disturbance’ showing the lowest. Mokken analysis showed that the 16-item PHQ-ADS scale could be reduced to a 7-item scale without loss of test information. The reduced scale comprised mainly items measuring cognitive-affective symptoms of anxiety/depression, whereas items measuring somatic symptoms were discarded. The revised scale showed high discrimination and scalability. LimitationsFindings are limited by the use of cross-sectional data that only included the baseline online questionnaire, but not other waves. ConclusionsIRT is a useful technique for scale reductions which serve the clinical and epidemiological need to optimize screening questionnaires to reduce redundancy and maximize information. A reduced-item 7-item PHQ-ADS scale reduces the response burden on participants in epidemiological research settings, without loss of information.

Posttraumatic stress and depressive symptoms and symptom clusters in a sample of treatment-seeking US veterans: Longitudinal associations with meaning in life and general self-efficacy

ObjectivesTo quantify the associations between general self-efficacy, subjective meaning in life, and posttraumatic stress and depressive symptoms and symptom clusters in US veterans, both cross-sectionally and longitudinally. MethodsData from a Veteran Affairs (VA) funded intervention study (n = 191) were examined. Self-report measures of depressive symptoms, general self-efficacy, and meaning in life were collected, along with clinician-rated symptoms of PTSD. ResultsMeaning in life was consistently inversely associated with posttraumatic stress and depressive symptoms and symptom clusters cross-sectionally, whereas general self-efficacy was only inversely associated with some aspects of depressive symptoms. Longitudinal analyses further revealed that meaning in life was inversely associated with the cluster D symptoms of PTSD and the cognitive-affective symptoms of depression. ConclusionsHigher meaning in life is associated with less severe symptoms of posttraumatic stress and depressive symptoms, particularly those related to mood. Additional research is needed to determine whether interventions designed to increase meaning in life attenuate these symptoms.

Emotional distress and cardiovascular disease risk among participants enrolled in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) study

AimsPeople with type 2 diabetes (T2DM) have an increased risk of cardiovascular disease (CVD). We examined depressive symptoms (DS) and diabetes distress (DD) in relation to the estimated 10-year risk of CVD in adults with T2DM enrolled in the GRADE Emotional Distress Substudy. MethodsLinear regression models examined the associations of baseline DS and DD with estimated 10-year risk of CVD using the Atherosclerotic Cardiovascular Disease (ASCVD) risk score, adjusting for age, sex, race/ethnicity, education, income, diabetes duration, diabetes-related complications, and HbA1c. ResultsA total of 1,605 GRADE participants were included: 54% Non-Latino (NL) White, 18% Latino, 19% NL-Black, 66% male, mean age 57.5 (SD = 10.25) years, diabetes duration 4.2 (SD = 2.8) years, and HbA1c 7.5% (SD = 0.5%). After incorporating covariates, only DS, especially cognitive-affective symptoms, were associated with ASCVD risk (estimate = 0.15 [95% CI: 0.04, 0.025], p = 0.006). Higher DS remained significantly associated with higher ASCVD risk when adding DD to covariates (estimate = 0.19 [95% CI: 0.07, 0.30], p = 0.002). DD was not associated with ASCVD risk when accounting for covariates. ConclusionsDepressive symptoms, particularly cognitive-affective symptoms, are associated with increased 10-year predicted ASCVD risk among adults with early T2DM. Diabetes distress is not significantly associated with the predicted ASCVD risk when accounting for covariates.

Impact of cognitive-affective and somatic symptoms in subthreshold depression transition in adults: Evidence from Depression Cohort in China (DCC)

BackgroundSymptoms of subthreshold depression may differentially affect the illness transition. We examined the impact of cognitive-affective and somatic symptoms on different subthreshold depression transitions as well as risk factors influencing the aforementioned symptoms changes. MethodsAdults with subthreshold depression in the Depression Cohort in China were enrolled. Data collection was conducted at baseline, 6 and 12 months from 2019 to 2020. Cognitive-affective and somatic symptoms were assessed using the Patient Health Questionnaire-9. A total of 993 participants completed 12-month follow-up and were divided into persistent, intermittent and remission groups according to change in depressive symptoms. The longitudinal change of cognitive-affective and somatic symptoms in the three groups, as well as risk factors was analyzed using the generalized linear mixed-model. ResultsThere were 24.07 %, 34.04 % and 41.89 % of participants proceeding into persistent, intermittent and remission subthreshold depression groups, respectively. Cognitive-affective symptoms were the core symptoms for predicting the deterioration in persistent subthreshold depression (t = 2.48, P = 0.013), whereas somatic symptoms improved over time (t = −2.82, P = 0.005). Anxiety symptoms were the primary risk factors for worsening cognitive-affective symptoms (P < 0.001), following by insomnia symptoms, age, marital status, resilience and social functions. Somatic symptoms were affected by insomnia symptoms, anxiety symptoms and Body Mass Index successively. LimitationsMajor Depressive Episode was not explored in follow-up. ConclusionCognitive-affective symptoms in subthreshold depression are at greater risk of illness deterioration. Future studies should endeavor to identify specific risk factors in different symptoms to forestall the transition from subthreshold to Major Depressive Disorder.

Impact of fasting on stress systems and depressive symptoms in patients with major depressive disorder: a cross-sectional study

Major depressive disorder (MDD) is frequently associated with poor response to treatment. Common antidepressants target neurotransmission and neuronal plasticity, which require adequate energy supply. As imaging studies indicate disturbances in central energy metabolism, and caloric restriction improves neuroplasticity and impacts mood and cognition, correction of energy status might increase the effectiveness of antidepressant treatments and reduce the psychopathological symptoms of depression. Metabolic parameters, stress hormones, and brain-derived neurotrophic factor (BDNF) levels were assessed in serum of depressed inpatients (MDD, N = 21) and healthy volunteers (Ctrl, N = 28) before and after a 72 h fasting period during which only water was consumed. Depression severity was assessed by Beck’s Depression Inventory (BDI)-2 sum-score and cognitive-affective and somatic sub-scores. Fasting similarly impacted metabolic parameters and stress systems in both groups. Fasting elevated BDI-2 sum-scores and somatic sub-scores in Ctrl. In MDD, fasting increased somatic-, but decreased cognitive-affective symptoms. Sub-group analyses based on BDI-2 sum-scores pre-fasting showed that cognitive-affective symptoms decreased in patients with moderate/severe but not in those with mild symptoms. This was associated with differential changes in BDNF levels. In conclusion, fasting improved cognitive-affective sub-scores in MDD patients with moderate/severe symptoms that had not responded to prior therapy. Interventions that modulate energy metabolism might directly improve cognitive-affective symptoms and/or augment therapeutic efficacy in moderate-to-severely depressed patients.

Mediating Effects of Malnutrition on the Relationship between Depressive Symptoms Clusters and Muscle Function Rather than Muscle Mass in Older Hemodialysis Patients.

The purpose of this study was to investigate the association and mediation pathways among muscle mass, muscle function (muscle strength and physical performance), and malnutrition with depressive symptoms clusters in the older hemodialysis patients. A multi-center cross-sectional study. A total of 499 patients aged ≥ 60 on hemodialysis from seven facilities in Shanghai of China from 2020 to 2021. Muscle mass was assessed by skeletal muscle index(SMI). Muscle strength was measured by handgrip strength, and physical performance was measured via gait speed and Timed Up and Go Test (TUGT). Nutritional status was assessed by Malnutrition Inflammation Score (MIS). Depressive symptoms were evaluated by the Patient Health Questionnaire-9 (PHQ-9). Logistic regression and mediation analyses fully adjusted for all potential confounding factors. Among 499 participants (312 men, mean age 69.2±6.6 years), 108 (21.6%) had depressive symptoms. The muscle strength, physical performance and malnutrition were associated with depressive symptoms. Furthermore, malnutrition significantly mediated the association of muscle function with total, cognitive-affective symptoms. The association of the muscle function with somatic symptoms were mediated by the nutritional status. The mediated proportions of malnutrition in the relationship between physical performance and depressive symptoms clusters were stronger in somatic symptoms than in cognitive-affective symptoms. Our findings suggest that muscle function rather than muscle mass may contribute substantially to the development of depressive symptoms clusters in the hemodialysis via malnutrition. The malnutrition mediated stronger in the association of muscle function with somatic symptoms. These findings may help guide clinicians to better diagnose and manage depression in the context of concomitant muscle function and malnutrition.

The structure of the symptoms of major depression: Factor analysis of a lifetime worst episode of depressive symptoms in a large general population sample

BackgroundA range of depressive symptoms may occur during an episode of major depression (MD). Do these symptoms describe a single disorder liability or different symptom dimensions? This study investigates the structure and clinical relevance of an expanded set of depressive symptoms in a large general population sample. MethodsWe studied 43,431 subjects from the Dutch Lifelines Cohort Study who participated in an online survey assessing the 9 symptom criteria of MD (DSM-IV-TR) and additional depressive symptoms during their worst lifetime episode of depressive symptoms lasting two weeks or more. Exploratory factor analyses were performed on expanded sets of 9, 14, and 24 depressive symptoms. The clinical relevance of the identified symptom dimensions was analyzed in confirmatory factor analyses including ten external validators. ResultsA single dimension adequately accounted for the covariation among the 9 DSM-criteria, but multiple dimensions were needed to describe the 14 and 24 depressive symptoms. Five dimensions described the structure underlying the 24 depressive symptoms. Three cognitive affective symptom dimensions were mainly associated with risk factors for MD. Two somatic dimensions –appetite/weight problems and sleep problems—were mainly associated with BMI and age, respectively. LimitationsRespondents of our online survey tended to be more often female, older, and more highly educated than non-respondents. ConclusionsDifferent symptom dimensions described the structure of depressive symptoms during a lifetime worst episode in a general population sample. These symptom dimensions resembled those reported in a large clinical sample of Han-Chinese women with recurrent MD, suggesting robustness of the syndrome of MD.

A latent class analysis of intermittent explosive disorder symptoms

Intermittent explosive disorder (IED), the sole diagnosis in the DSM-5 for which the cardinal symptom is recurrent affective aggressive outbursts, is a common and substantially impairing disorder. IED is also associated with several cognitive and affective impairments. However, little is known about the heterogeneity of the disorder and how this may correspond to aggression severity and related adverse outcomes. The current study employed a latent class analysis (LCA) among individuals diagnosed with lifetime DSM-5 IED to derive distinct subgroups that differed in the quality and/or frequency of cognitive-affective symptoms. These subgroups were then externally validated on a number of adverse outcomes. Statistical and clinical indicators supported a four-class model. Classes were distinguished mainly by the level of emotion dysregulation participants endorsed, with two moderate emotion dysregulation classes differing on their emotional information processing and impulsive tendencies. The external validation analysis revealed that classes differed in terms of various adverse outcomes (e.g., interpersonal problems, life satisfaction, suicide risk). Overall, the present study suggests distinct cognitiveaffective symptom profiles among those with IED that differ meaningfully with regard to risk for adverse outcomes. These findings provide evidence of the heterogeneity within IED and may suggest a more personalized therapeutic approach to patients with IED.