Depression Subgroups Research Articles

Latent profile analysis of depression and its influencing factors in older adults raising grandchildren in China

ObjectiveTo explore the latent profile of depression in older adults raising grandchildren in China, and to analyze the differences in the characteristics of the different profiles of the population and the factors influencing them. MethodsThis study utilized the 2018 China Health and Retirement Longitudinal Study (CHARLS). Through a cross-sectional study, the latent profile analysis was used to analyze the potential classification of depression among older adults raising grandchildren, and using ordered multi-categorical logistic regression analyses to assess the effects of each factor on their different classifications. ResultsThe 1271 older adults raising grandchildren with depression symptoms were divided into three categories: low-level depression (55.4%), moderate-level depression (31.2%), and high-level depression (13.4%). Ordered multi-categorical Logistic results showed: Gender, marital status, pension insurance, physical health status, life satisfaction, and IADL were predictors of latent profile classification of depression symptoms in older adults raising grandchildren (P < 0.05). ConclusionsIn the future of primary care, it will be more meaningful to provide targeted interventions for different subgroups of depression in older adults raising grandchildren.

The Prevalence of Maternal Depression and Anxiety Beyond 1 Year Postpartum: A Systematic Review.

Maternal depression and anxiety occurring beyond the 1-year postpartum period can lead to significant suffering for both mother and child. This study aimed to systematically review and synthesize studies reporting the prevalence and incidence of maternal depression and anxiety beyond 1 year post-childbirth. A systematic literature review of the PsycINFO, Medline, and Embase databases identified studies reporting on the prevalence and/or incidence of depression and/or anxiety among mothers between 1 and 12years post-childbirth. The quality of the included studies was assessed. Findings were synthesized qualitatively. Twenty-one studies were identified that met the inclusion and exclusion criteria. All studies reported the prevalence of depression, with 31 estimates ranging from 6.6% at 3 to 11years post-childbirth to 41.4% at 3 to 4 years post-childbirth. Five of these studies also reported the prevalence of depression in subgroups (e.g., ethnic origin, income, marital status). Four studies reported the prevalence of anxiety, with nine estimates ranging from 3.7% at 5 years post-childbirth to 37.0% at 3 to 4 years post-childbirth. Only one study reported incidence. The quality of the included studies was variable, with most studies scoring above 7/9. Maternal anxiety and depression remain prevalent beyond the first year postpartum, particularly in marginalized subgroups. Current observational studies lack consistency and produce highly variable prevalence rates, calling for more standardized measures of depression and anxiety. Clinical practice and research should consider the prevalence of maternal anxiety and depression beyond this period.

Latent profile analysis of depression in US adults with obstructive sleep apnea hypopnea syndrome.

This study used latent profile analysis to explore the level of depression among US adults with obstructive sleep apnea hypopnea syndrome (OSAHS) symptoms and to identify different latent categories of depression to gain insight into the characteristic differences between these categories. The data of this study were obtained from the National Health and Nutrition Examination Survey (NHANES) database, and the subjects with OSAHS symptoms were aged 18 years and older. The latent profile analysis (LPA) method was used to fit the latent depression categories in subjects with OSAHS symptoms. The chi-square test, rank sum test, and binary logistic regression were used to analyze the influencing factors of depression subgroups in subjects with OSAHS symptoms. Three latent profiles were identified: low-level (83.7%), moderate-level (14.5%) and high-level (1.8%) depression. The scores of 9 items in the high-level depression group were higher than those in the other two groups. Among them, item 4 "feeling tired or lack of energy" had the highest score in all categories. Depression in subjects with OSAHS symptoms can be divided into low-level, moderate-level and high-level depression. There are significant differences among different levels of depression in gender, marital status, PIR, BMI, smoking, general health condition, sleep duration and OSAHS symptom severity.

Depression in Rheumatoid Arthritis: Prevalence and Effects on Disease Activity.

Background:The primary objective of this study was to estimate depression's prevalence in a cohort of rheumatoid arthritis (RA) patients, and the secondary objective was to evaluate the impact of depression on disease activity over time. Methods: We included all patients with RA presenting to our clinic from 2019 to 2020, who had three follow-up visits available. Depression prevalence was calculated using the patient's history of diagnosed depression, and disease activity was assessed using the disease activity score for 28 joints (DAS28) and its components: tender joint count (TJC), swollen joint count (SJC), pain value on a visual analog scale (VAS), and inflammatory markers. Results: A total of 400 RA patients were included, 75 of whom had diagnosed depression, generating a prevalence of 18.8%. The mean values of DAS28 and its components were higher, with statistical significance, in the depression subgroup at all three follow-ups (p < 0.001). Conclusions: Depression is prevalent in the RA population, and leads to higher disease activity in dynamic evaluations. Assessing depression could be a psychological marker for RA prognosis with an important outcome in controlling disease activity.

Lower serum insulin-like growth factor 2 level in patients with bipolar disorder is associated with the severity of manic symptoms during manic episodes.

Accumulating evidence has indicated that neurodevelopmental defects may underlie the pathophysiology of bipolar disorder (BD). Insulin-like growth factors (IGFs) are a family of neurotrophic factors that are essential for the survival and development of neurons. The present study aims to investigate whether IGF-2 signaling is implicated in the pathophysiological processes of BD. 50 healthy controls and 78 patients with BD, including 23 patients who diagnosed acute depressive episode and 55 patients who diagnosed acute manic episode, were recruited in this study. The 17-item Hamilton Depression Rating Scale (HAMD-17) and the Young Mania Rating Scale (YMRS) were used to assess the severity of the depressive and manic symptoms, respectively. The serum IGF-2 level was determined by an enzyme-linked immunosorbent assay (ELISA). The Kolmogorov-Smirnov and Mann-Whitney U tests were used for between-group comparisons and spearman analysis was used to analyze correlations. Patients with BD had lower serum IGF-2 levels (66.08 ± 21.22 ng/ml) when compared to healthy controls (88.72 ± 31.55 ng/ml). BD patients were divided into manic episode and depressive episode subgroups. We found that serum IGF-2 levels were reduced in both the mania and depression subgroups (mania: 67.19 ± 21.52 ng/ml, depression: 63.43 ± 20.67 ng/ml; P < 0.001), while no significant difference was observed between two groups (P > 0.05). Spearman correlation analyses revealed that the levels of serum IGF-2 were negatively correlated with the YMRS scores in BD patients (r = -0.522, P < 0.001). Furthermore, IGF-2 was found to be an independent contributor to the severity of symptoms in patients with manic episodes (B = -0.610, t = -5.299, P < 0.001). Lower serum IGF-2 levels were found in BD patients and correlated with the severity of the manic symptoms in these patients during manic episodes. These results suggest that reduced IGF-2 levels might be involved in the pathophysiology of BD, and serum IGF-2 could be a peripheral biomarker for the evaluation of the severity of manic symptoms in BD patients.

PTSD, depression, and treatment outcomes: A latent profile analysis among active duty personnel in a residential PTSD program

Depression frequently co-occurs with posttraumatic stress disorder (PTSD), including among active duty service members. However, symptom heterogeneity of this comorbidity is complex and its association with treatment outcomes is poorly understood, particularly among active duty service members in residential treatment. This study used latent profile analysis (LPA) to identify symptom-based subgroups of PTSD and depression among 282 male service members in a 10-week, residential PTSD treatment program with evidence-based PTSD psychotherapies and adjunctive interventions. The PTSD Checklist–Military Version and Patient Health Questionnaire-8 were completed by service members at pre- and posttreatment and weekly during treatment. Multilevel models compared subgroups on PTSD and depression symptom change across treatment. LPA indicated four subgroups provided optimal fit: Depressive (high depression severity, low PTSD avoidance; n = 33, 11.7%), Avoidant (high PTSD avoidance, moderate depression severity; n = 89, 31.6%), Moderate (moderate PTSD and depression severity; n = 27, 9.6%), and Distressed (high PTSD and depression severity; n = 133, 47.2%). Treatment response differed across classes for both PTSD and depression outcomes (time × LPA class interaction ps < 0.001). In PTSD models, post-hoc comparisons indicated the Moderate class was associated with less PTSD symptom improvement relative to the other classes (ps < 0.006). In depression models, symptom reduction was greatest for the Distressed and Depressive subgroups relative to the other two classes (ps < 0.009). Study results provide an initial model for two prevalent, impairing disorders among service members and show how these symptom-based subgroups may differentially respond to residential PTSD treatment.

Comprehensive Sex-Stratified Genetic Analysis of 28 Blood Biomarkers and Depression Reveals a Significant Association between Depression and Low Levels of Total Protein in Females

Introduction: Major depression (MD) is more common amongst women than men, and MD episodes have been associated with fluctuations in reproductive hormones amongst women. To investigate biological underpinnings of heterogeneity in MD, the associations between depression, stratified by sex and including perinatal depression (PND), and blood biomarkers, using UK Biobank (UKB) data, were evaluated, and extended to include the association of depression with biomarker polygenic scores (PGS), generated as proxy for each biomarker. Method: Using female (N = 39,761) and male (N = 38,821) UKB participants, lifetime MD and PND were tested for association with 28 blood biomarkers. A GWAS was conducted for each biomarker and genetic correlations with depression subgroups were estimated. Using independent data from the Australian Genetics of Depression Study, PGS were constructed for each biomarker, and tested for association with depression status (n [female cases/controls] = 9,006/6,442; n [male cases/controls] = 3,106/6,222). Regions of significant local genetic correlation between depression subgroups and biomarkers highlighted by the PGS analysis were identified. Results: Depression in females was significantly associated with levels of twelve biomarkers, including total protein (OR = 0.90, CI = [0.86, 0.94], p = 3.9 × 10−6) and vitamin D (OR = 0.94, CI = [0.90, 0.97], p = 2.6 × 10−4), and PND with five biomarker levels, also including total protein (OR = 0.88, CI = [0.81, 0.96], p = 4.7 × 10−3). Depression in males was significantly associated with levels of eleven biomarkers. In the independent Australian Genetics of Depression Study, PGS analysis found significant associations for female depression and PND with total protein (female depression: OR = 0.93, CI = [0.88, 0.98], p = 3.6 × 10−3; PND: OR = 0.91, CI = [0.86, 0.96], p = 1.1 × 10−3), as well as with vitamin D (female depression: OR = 0.93, CI = [0.89, 0.97], p = 2.0 × 10−3; PND: OR = 0.92, CI = [0.87, 0.97], p = 1.4 × 10−3). The male depression sample did not report any significant results, and the point estimate of total protein (OR = 0.98, CI = [0.92–1.04], p = 4.7 × 10−1) did not indicate any association. Local genetic correlation analysis highlighted significant genetic correlation between PND and total protein, located in 5q13.3 (rG = 0.68, CI = [0.33, 1.0], p = 3.6 × 10−4). Discussion and Conclusion: Multiple lines of evidence from genetic analysis highlight an association between total serum protein levels and depression in females. Further research involving prospective measurement of total protein and depressive symptoms is warranted.

Latent Profile Analysis of Cognitive Performance and Depressive Symptoms Among People with HIV.

Depression and cognitive impairment are prevalent conditions among people with HIV (PWH), likely attributable to shared causes and common risk factors. Identifying subtypes of PWH with similar patterns of neurocognitive impairment (NCI) and depressive symptoms may inform development of patient-centered interventions that target-specific profiles. This study aimed to (1) classify PWH based on patterns of domain-specific NCI and depression; and (2) determine the relationship between latent class membership and pertinent clinical characteristics. PWH (N = 580, 86.2% male, 57.1% non-Hispanic White, 69.2% unemployed) completed a comprehensive neuropsychological test battery assessing global and domain-specific cognition. Domain-specific NCI was classified as deficit score >0.5. Participants completed the Beck Depression Inventory-II (BDI-II), and domain-specific BDI-II scores reflecting cognitive, affective, and somatic symptoms were computed. Latent profile analysis (LPA) was used to determine latent subgroups of NCI and depression. The optimal LPA solution consisted of five classes: minimal NCI and minimal depression (Class 1), amnestic and minimal depression (Class 2), severe multi-domain NCI and moderate depression (somatic and affective; Class 3), mild NCI and mild depression (Class 4), and moderate multi-domain NCI and severe depression (Class 5). Despite similar levels of functional impairment, Class 5 had a significant psychiatric profile, whereas Class 3 had a complex medical profile (i.e., higher frailty index, higher medications, greater proportion of AIDS diagnosis). In contrast, Class 1 had the lowest medication use and frailty index, with similar HIV disease characteristics to Classes 3 and 5. Our results suggest there are multiple pathways to cognitive and functional impairment among PWH with co-occurring depression and cognitive impairment, and these groups may respond differently to interventions. Of note, our sample was majority non-Hispanic White and male, which is nonrepresentative of the US population of PWH. Future interventions should consider a more integrated, person-centered approach that addresses cognitive and emotional health to optimize health outcomes in PWH.

Age-related subtypes of late life depression and mortality: Aprospective clinical cohort study.

Late Life Depression (LLD) is associated with increased mortality rates, but it remains unclear which depressed patients are at increased risk. This study examined the mortality risk of previously identified subgroups of depressed older patients based on age-related clinical features (the presence of physical and cognitive frailty). A six-year follow-up of a clinical cohort study including 375 depressed older patients and 132 non-depressed persons (NESDO). Depressed patients were diagnosed with the Composite International Diagnostic Interview (CIDI) according to DSM-IV criteria and classified by latent profile analysis on depressive symptom severity, cognitive domains and physical frailty. We estimated the hazard rate of mortality for the four depressed subgroups compared to non-depressed persons by applying Cox-regression analyses. Models were adjusted for age, sex and education as confounders and for explanatory variables per pathway in separate models: somatic burden, lifestyle characteristics, vascular burden or inflammation markers. A total of 61/375 (16.3%) depressed patients and 8/132 (6.1%) non-depressed persons died during the 6-year follow-up. Two of the four subgroups (n=186/375 (50%) of the depressed sample) had a higher hazard rate (HR) for mortality compared to non-depressed participants, that is, frail-depressed patients (HR=5.25, [95%-CI: 2.13-13.0]) and pure mild depressed patients (HR=3.32 [95%-CI: 1.46-7.58]) adjusted for confounders. Adding possible underlying pathways did not explain these associations. Age-related features (the presence of physical and cognitive frailty) contribute to the increased mortality risk in late-life depression. Future studies in depressed older patients should study the additional value of a clinical geriatric assessment and integrated treatment aimed to at reduce frailty and ameliorate their mortality risk.

Randomized controlled trials on promoting self-care behaviors among informal caregivers of older patients: a systematic review and meta-analysis

BackgroundInformal caregivers of older patients often neglect their self-care, despite the mental and physical health effects of caregiving. Randomized controlled trials (RCTs) on self-care interventions for informal caregivers are lacking, making it difficult to determine effective strategies. This systematic review explored the definition and categories of self-care RCTs for informal caregivers and a meta-analysis was conducted to determine the effectiveness of these interventions.MethodsSeven databases (Scopus, Web of Science, MEDLINE, PubMed, ProQuest, CINAHL, and Embase) were searched for articles in English reporting on self-care intervention outcomes for informal caregivers of patients aged 60 years or older. Standardized mean differences (SMD) with 95% confidence intervals (CI) were calculated using a random-effects model. Subgroup, sensitivity, and publication bias analyses were conducted.ResultsEighteen studies were included in the systematic review, of which fifteen studies were included in the meta-analysis. RCTs lacked a clear definition of self-care, mainly focused on promoting physical and mental health and individual capacity, and neglected disease prevention. The interventions focused on self-management for health and individual agency, with less attention on health literacy, decision-making capacity, self-monitoring for health status, and linkage to the health system. Meta-analysis results showed that RCTs had a small effect on reducing anxiety (SMD = -0.142, 95% CI [-0.302, 0.017], p = .081) but a significant effect on reducing depression (SMD = -0.214, 95% CI [-0.353, -0.076], p = .002). Country and type of caregiver significantly contributed to the effect of reducing caregivers’ depression in subgroup analysis.ConclusionsStudies on caregiver-centered self-care interventions are limited, resulting in a lack of a clear definition and comprehensive intervention. RCTs indicated a small effect on informal caregivers’ mental health, and interventions should consider both mental and physical health. More evidence is needed on the effectiveness of self-care interventions for informal caregivers’ anxiety and physical health.

Assessing psychometric properties and measurement invariance of the Sleep Quality Questionnaire among healthcare students

ObjectiveThe sleep of healthcare students is worth discovering. Mental health and self-rated health are thought to be associated with sleep quality. As such, valid instruments to assess sleep quality in healthcare students are crucial and irreplaceable. This study aimed to investigate the measurement properties of the Sleep Quality Questionnaire (SQQ) for Chinese healthcare students.MethodsTwo longitudinal assessments were undertaken among healthcare students, with a total of 595, between December 2020 and January 2021. Measures include the Chinese version of the SQQ, Patient Health Questionnaire-4 (PHQ-4), Self-Rated Health Questionnaire (SRHQ), and sociodemographic questionnaire. Structural validity through confirmatory factor analysis (CFA) was conducted to examine factor structure of the SQQ. T-tests and ANOVAs were used to examine sociodemographic differences in sleep quality scores. Multi Group CFA and longitudinal CFA were respectively used to assess cross-sectional invariance and longitudinal invariance across two-time interval, i.e., cross-cultural validity. Construct validity, internal consistency, and test–retest reliability were correspondingly examined via Spearman correlation, Cronbach’s alpha and McDonald’s omega, and intraclass correlation coefficient. Multiple linear regression analysis was performed to examine incremental validity of the SQQ based on the PHQ-4 and SRHQ as indicators of the criterion variables.ResultsCFA results suggested that the two-factor model of the SQQ-9 (item 2 excluded) had the best fit. The SQQ-9 scores differed significantly by age, grade, academic stage, hobby, stress coping strategy, anxiety, depression, and self-rated health subgroups. Measurement invariance was supported in terms of aforesaid subgroups and across two time intervals. In correlation and regression analyses, anxiety, depression, and self-rated health were moderately strong predictors of sleep quality. The SQQ-9 had good internal consistency and test–retest reliability.ConclusionGood measurement properties suggest that the SQQ is a promising and practical measurement instrument for assessing sleep quality of Chinese healthcare students.

Differences in prefrontal cortex activation in Chinese college students with different severities of depressive symptoms: A large sample of functional near-infrared spectroscopy (fNIRS) findings

BackgroundPrevious studies proposed that functional near-infrared spectroscopy (fNIRS) can be used to distinguish between not only different severities of depressive symptoms but also different subgroups of depression, such as anxious and non-anxious depression, bipolar and unipolar depression, and melancholia and non-melancholia depression. However, the differences in brain haemodynamic activation between depression subgroups (such as confirmed depression [CD] and suspected depression [SD]) with different symptom severities and the possible correlation between symptom severity and haemodynamic activation in specific brain regions using fNIRS have yet to be clarified. MethodsThe severity of depression symptoms was classified using the Hospital Anxiety and Depression scale (HADS) and the Mini International Neuropsychiatric Interview by psychiatrists. We recruited 654 patients with depression who had varying severities of depressive symptoms, including 276 with SD and 378 with CD, and 317 with HCs from among Chinese college students. The 53-channel fNIRS was used to detect the cerebral hemodynamic difference of the three groups during the VFT (verbal fluency task). ResultsCompared with the HC, region-specific fNIRS leads indicate CD patients had significant lower haemodynamic activation in three particular prefrontal regions: 1) right dorsolateral prefrontal cortex (DLPFC), 2) bilateral frontopolar cortex (FPC), and 3) right Broca's area (BA). SD vs. HC comparisons revealed only significant lower haemodynamic activation in the right FPC area. Compared to SD patients, CD patients exhibited decreased hemodynamic activation changes in the right DLPFC and the right BA. Correlation analysis established a significant negative correlation between the hemodynamic changes in the bilateral FPC and the severity of depressive symptoms. ConclusionsThe right DLPFC and right BA are expected to be physiological mechanisms to distinguish depression subgroups (CD, SD) with different symptom severities. The haemodynamic changes in the bilateral FPC was nagatively associated with the symptom severity of depression.

Structural Neuroimaging and Molecular Signatures of Drug‐Naive Depression With Melancholic Features

Objectives: Melancholic depression (MD) is a common subtype of major depressive disorder (MDD). It is difficult to treat because its neurobiological basis is poorly understood. Therefore, to investigate whether MD patients have any structural changes in gray matter (GM) and the molecular foundation of these changes, we combined voxel‐based morphometry (VBM) analysis with neurotransmitter system‐derived mapping from public data.Methods: 137 drug‐naive MDD patients and 75 healthy controls (HCs) were recruited for structural magnetic resonance imaging. The imaging results were analyzed using VBM analysis. MDD patients were then divided into MD and nonmelancholic depression (NMD) subgroups according to their scores on the Montgomery–Asberg Depression Rating Scale (MADRS) and the Hamilton Depression Rating Scale. Next, we analyzed the spatial correlation between the changes in the gray matter volume (GMV) maps and the neurotransmitter receptor/transporter protein density maps provided by the JuSpace toolbox.Results: Compared to HCs, patients with MD had significant GMV reduction in the bilateral hippocampus, bilateral thalamus, right amygdala, and right posterior cingulate cortex (PCC)/precuneus. Compared to patients with NMD, MD patients had significant GMV reduction in the bilateral PCC/precuneus and lateral occipital cortex. Moreover, compared to HCs, changes in GMV introduced by MD were spatially associated with the serotonin transporter, cannabinoid receptor, and μ‐opioid receptor. Compared to NMD patients, changes in GMV introduced by MD were spatially associated with the vesicular acetylcholine transporter.Conclusion: The present study discovered abnormal GMV alterations in patients with subtypes of depression. We also found a series of neurotransmitter receptors that may be associated with the alterations. The findings of the current study may provide a more comprehensive understanding of the molecular mechanisms underlying the structural abnormalities in subtypes of depression and potentially offer new insights into developing new therapeutic strategies.

Risk factors of reattempt among suicide attempters in South Korea: A nationwide retrospective cohort study.

This study aimed to identify underlying demographic and clinical characteristics among individuals who had previously attempted suicide, utilizing the comprehensive Health Insurance Review and Assessment Service (HIRA) database. Data of patients aged 18 and above who had attempted suicide between January 1 and December 31, 2014, recorded in HIRA, were extracted. The index date was identified when a suicide attempt was made within the year 2014. The medical history of the three years before the index date and seven years of follow-up data after the index date were analyzed. Kaplan-Meier estimate was used to infer reattempt of the suicide attempters, and Cox-proportional hazard analysis was used to investigate risk factors associated with suicide reattempts. A total of 17,026 suicide attempters were identified, of which 1,853 (10.9%) reattempted suicide; 4,925 (28.9%) patients had been diagnosed with depressive disorder. Of the reattempters, 391 (21.1%) demonstrated a history of suicide attempts in the three years before the index date, and the mean number of prior attempts was higher compared to that of the non-reattempters (1.7 vs.1.3, p-value < 0.01). Prior psychiatric medication, polypharmacy, and an increase in the number of psychotropics were associated with suicide reattempt in overall suicide attempters. (Hazard ratio (HR) = 3.20, 95% confidence interval [CI] = 2.56-4.00; HR = 2.42, 95% CI = 1.87-3.14; HR = 19.66, 95% CI = 15.22-25.39 respectively). The risk of reattempt decreased in individuals receiving antidepressant prescriptions compared to those unmedicated, showing a reduction of 78% when prescribed by non-psychiatrists and 89% when prescribed by psychiatrists. Similar risk factors for suicide reattempts were observed in the depressive disorder subgroup, but the median time to reattempt was shorter (556.5 days) for this group compared to that for the overall attempters (578 days). Various risk factors including demographics, clinical characteristics, and medications should be considered to prevent suicide reattempts among suicide attempters, and patients with depressive disorder should be monitored more closely.

After an Earthquake: The Comparison of Psychological Status of Resident and Earthquake Survivor Cancer Patients.

Natural disasters such as earthquakes can have a significant impact on cancer treatment and care. The objective of the study was to evaluate the psychological effect of the earthquake on survivor cancer patients compared to regular cancer patients. Cancer patients who were evacuated from earthquake sites and referred for the continuation of their treatment, as well as regular resident patients were included in the study. The resident cancer patients were compared with the study population as a control group. DASS-21 forms were filled based on patients' declarations. Forty-six patients were earthquake survivors and 55 were resident cancer patients. Stress scores were significantly higher in earthquake survivors (P = 0.021). In contrast, there was no difference in stratified groups due to DASS-21 categorization in stress scores while depression and anxiety subgroups had significant differences (P = 0.012; P < 0.001). Also, women significantly had a worse outcome in the depression and anxiety categories (P = 0.028; P = 0.021) while no difference was observed in men. Recent earthquakes in Turkey had psychological negative effects on oncology patients. The increased stress, depression, and anxiety levels were observed in earthquake survivors who were evacuated from the disaster zone and compared to the control group.

Depressive Symptoms Associated with Peripheral Artery Disease and Predicting Mortality in Type 2 Diabetes.

This retrospective cohort study aimed to assess the mortality risk in patients with type 2 diabetes mellitus (DM) by screening for depressive symptoms and peripheral artery disease (PAD). We enrolled patients aged ≥60 years who had undergone assessments of both the ankle-brachial index (ABI) and the five-item Geriatric Depression Scale (GDS-5). PAD and depression were defined as ABI ≤ 0.90 and GDS-5 ≥ 1, respectively. The primary endpoint was total mortality. In 1673 enrolled patients, the prevalence of PAD was higher in those with depression than in those without depression (8.9% vs. 5.7%, p = 0.021). After a median follow-up of 56.6 months (interquartile range: 47.0-62.3 months), a total of 168 (10.0%) deaths occurred. The patients in the depression and PAD subgroup had the highest hazard ratio of mortality, followed by the PAD without depression subgroup and the depression without PAD subgroup (2.209, 95%CI: 1.158-4.217; 1.958, 95%CI: 1.060-3.618; and 1.576, 95%CI: 1.131-2.196; respectively) in comparison to the patients without depression and PAD after adjustment for associated factors. In conclusion, a combination of depression and PAD predicted the highest mortality risk. Screening for depression and PAD is recommended in patients aged ≥60 years with type 2 DM.

Effect of vitamin D supplementation on symptoms severity in vitamin D insufficient women with premenstrual syndrome: A randomized controlled trial

BackgroundPremenstrual syndrome (PMS) is one of the most prevalent disorders among reproductive women worldwide that negatively impact women’s quality of life. This study aimed to investigate the effect of vitamin D supplementation on the severity of PMS symptoms in vitamin D insufficient women with PMS. MethodsIn this randomized, double-blind clinical trial, 44 vitamin D insufficient women with PMS received either 50,000 IU vitamin D or a placebo fortnightly for 16 weeks. Participants completed the PMS Daily Symptoms Rating form at beginning and during the last two months of the intervention, and their blood samples were collected to assess 25(OH)D serum levels. ResultsAfter the four months' intervention, the serum level of 25(OH)D in the vitamin D group raised from 21±8 ng/ml to 40±8 ng/ml (P<0.001), while in the placebo group it raised from 21±7 ng/ml to 23±7 ng/ml (P=0.03). Indeed, serum vitamin D levels in the placebo group could not reach a sufficient level. At the end of the intervention, the mean score of total PMS symptoms showed significant improvement in the vitamin supplemented group compared to the controls (p<0.001). By grouping the PMS symptoms into five subgroups, the mean score of all five subgroups decreased post-supplementation compared to the baseline; however, the highest and lowest decrease were in depression (53%) and water retention subgroups (28%), respectively. This indicates a greater improvement in the mean scores of mood symptoms compared to physical symptoms in this study (p<0.001). ConclusionResults obtained in this clinical trial represent the helpful effects of vitamin D supplementation on total, physical and mood symptoms in vitamin D insufficient women with PMS. Trial registrationThis randomized controlled trial at IRCT.ir on 2018-06-20 with Registration No: IRCT20180525039822N1.

Relationship for co‐trajectories of cognitive decline and late‐life depression with postmortem neuropathology

AbstractBackgroundThe etiopathological relationship between late‐life cognitive decline and symptoms of depression remains unclear. Existing longitudinal studies have mostly grouped participants into distinct groups based on clinical diagnoses, and very few have analyzed postmortem neuropathology. Here we identified trajectories of both cognition and depressive symptoms in an elderly cohort over up to 27 years using growth mixture modeling (GMM), identifying co‐trajectory subgroups, and characterizing them with respect to postmortem neuropathologies.MethodWe analyzed 3,010 participants enrolled without dementia (mean age = 78) from the Religious Orders Study and Rush Memory and Aging Project (ROS/MAP). All included participants were evaluated for at least three annual visits for both depressive symptoms (using a modified Center for Epidemiologic Studies Depression Scale) and 19 cognitive tasks (yielding a global cognitive function summary score). A subset of 1,732 participants had complete postmortem neuropathological assessment data available. Latent trajectory subgroups were identified independently for global cognition and depressive symptoms using GMM with non‐linear time effects. Interaction effects of cognitive and depressive trajectory subgroups on neuropathologies were assessed using linear models.ResultThree trajectory subgroups (Figure 1) were identified for both cognitive decline (minimal (n = 1,232), slow (n = 1,325) and fast (n = 302)) and depressive symptoms (sustained low (n = 1,815), moderately increasing (n = 762) and consistently elevated (n = 433)). These subgroups showed significant overlap (chi‐square p = 0.0001), and their intersections defined nine co‐trajectories. A significant interaction effect (p = 0.0062) was identified between cognitive decline and depressive symptom trajectory subgroups for brain‐wide levels of paired helical filament tau; among only individuals experiencing fast cognitive decline, sustained lower depressive symptoms were associated with higher levels of tau (Figure 2).ConclusionLongitudinal cognitive decline and depressive symptom trajectories in late‐life are not independent. Intriguingly, we observed the highest tau burden in those individuals with both sustained low depressive symptoms and fast rates of cognitive decline. Given that use of antidepressants may lower tau levels (Dafsari &amp; Jessen, 2020), future models of neuropathology in trajectory‐based analyses will incorporate patterns of medication status.

Sense of coherence, its components and depressive and anxiety symptoms in expecting women and their partners – A FinnBrain Birth Cohort Study

ObjectiveExpecting mothers with high sense of coherence (SOC) exhibit improved physical, emotional, and childbearing health. However, the dimensions of SOC and the factor structure of the SOC-13 scale during prenatal period is slightly known. Especially the differences in experiencing SOC and its components (comprehensibility, manageability, meaningfulness) among both expecting parents (mothers and fathers) is poorly understood. The association between SOC and mood disorder symptoms (depression and anxiety) during pregnancy is scarcely studied. MethodsThe structure of the SOC-13 scale, differences in SOC experiences, and the associations between SOC and depressive and anxiety symptoms were studied in a sample of 2784 pregnant women (mothers) and 1661 men/partners (fathers) belonging to the FinnBrain Birth Cohort Study. Self-reports (SOC-13, EPDS, SCL-90: ANX) from gestational week 24 were used. Confirmatory factor analysis (CFA) and invariance testing was carried out to investigate the factorial structure of SOC-13 among both groups (mothers and fathers). Group comparisons were used to study differences in the level of SOC among mothers vs. fathers, low vs. high depression and anxiety subgroups, and multiparous vs. nulliparous mothers. ResultsA two-factor model for SOC-13 consisting of comprehensibility-manageability and meaningfulness fitted the data best. Mothers reported higher levels of meaningfulness, whereas fathers reported higher levels of comprehensibility-manageability. SOC was significantly higher among fathers vs. mothers, but mothers with depressive symptoms reported higher SOC than fathers with depressive symptoms. ConclusionsDuring pregnancy, SOC can be viewed as a two-dimensional (vs. one- or three-dimensional) concept, and mothers and fathers have differences in the components of SOC. Importantly, mothers vs. fathers with depressive symptoms express higher overall SOC indicating that pregnancy may relate to higher than usual SOC especially among women with psychological distress. Understanding how expecting mothers and fathers experience SOC during pregnancy, particularly in relation to depressive symptoms, helps midwives and maternity care providers to focus health promoting support more precisely.

Multi-omics clustering of transdiagnostic cases reveals new depression subgroups and two subgroups of immune-related depression

Multi-omics clustering of transdiagnostic cases reveals new depression subgroups and two subgroups of immune-related depression