Sad Mood Research Articles

The prevalence of patient-reported cognitive complaints and dementia risk factors in the audiology clinic

Background Hearing-dementia research mainly focuses on determining the causal direction of this association. Little is known about the prevalence of cognitive problems in a representative audiology patient population. Aim To examine the occurrence of self-reported cognitive complaints (SCC) and dementia risk factors (RF) in an audiology patient population. Materials and methods Patients visiting audiology clinics (n = 1100, 51% female and avg. age 61yrs) were administered an online intake tool based on the International Classification of Functioning Disability and Health. Domains extracted for analyses were memory and concentration (SCC) and loneliness, depression, sleep and vision (dementia RF) and self-reported hearing problems (SHP). Prevalence rates and associations with demographic variables and SHP were examined. Results SCC were highly prevalent, with over half of the patients reporting memory or concentration problems. Regarding dementia RF, 68% reported sleeping problems and > 50% reported sadness, anxiety or depressed mood. SHP correlated significantly with self-reported memory problems, loneliness, and vision problems. Conclusion This descriptive cohort-study suggests a high risk of cognitive issues within the audiology clinic population, indicated by the high prevalence of SCC and some dementia RF. Our findings underscore the importance of considering closer cooperation between care pathways like audiology and neurology and use of a holistic patient-centered approach.

Gender differences in the co-occurrence of anxiety and depressive symptoms among early adolescents: A network approach

Gender differences have been identified in the co-occurrence of anxiety and depressive symptoms. However, the underlying mechanisms that give rise to this gender difference remain unclear, and few studies have examined the issue at the symptom level. The current study employed the 7-item Generalized Anxiety Disorder scale (GAD-7) and the 9-item Patient Health Questionnaire (PHQ-9) to assess anxiety and depressive symptoms in a national sample of early adolescents (N = 15 391). A network approach was applied to investigate the gender differences in symptom interconnectivity. Gender differences were found in the co-occurrence of anxiety and depressive symptoms. The results indicated that girls with higher global strength (p < 0.01) exhibited stronger interconnectivity between symptoms. Central symptom PHQ2 (Sad mood) was significantly stronger in girls (p < 0.01), whereas PHQ6 (Guilt) was stronger in boys (p < 0.05). GAD7 (Feeling afraid) was identified as a prominent bridge symptom in girls, while PHQ6 (Guilt) was observed to play a similar role in boys. The directed acyclic graphs (DAGs) demonstrated that one symptom of anxiety triggered a series of emotional symptoms of anxiety and depression, ultimately resulting in a depressive somatic symptom in girls, whereas leading to both depressive somatic and anxiety symptoms in boys. These findings enhance our understanding and provide insights into potential intervention targets to prevent the co-occurrence of anxiety and depressive symptoms at an early stage.

Too Scared to Fight Back? Affective Job Insecurity as a Boundary Condition Between Workplace Incivility and Negative Mood States in Temporary Agency Workers

AbstractBlue-collar temporary agency workers may confront daily workplace incivility, based on their status as outsiders in the user company, and affective job insecurity, based on their unstable employment situation. Building on the employment-health dilemma (Kößler, F. J., Wesche, J. S., &amp; Hoppe, A. (2023). In a no-win situation: The employment–health dilemma. Applied Psychology, 72(1), 64–84) and the cognitive appraisal theory of emotion (Lazarus, R. S. (1991). Emotion and adaptation. Oxford University Press), we examine how these factors jointly shape workers’ daily affective experiences. We assume that workers with high levels of affective job insecurity feel less capable to fight back against workplace incivility. Consequently, we hypothesize that these workers are less likely to respond to daily workplace incivility with angry mood and more likely to respond with sad mood. To address our hypotheses, we conducted a daily diary study in Switzerland with 95 blue-collar temporary agency workers. As expected, affective job insecurity weakened the link between daily workplace incivility and angry mood, whereas it strengthened the link between daily workplace incivility and sad mood. In sum, our findings suggest that worries and fears related to keeping one’s job can alter how workers respond to daily workplace incivility. We discuss our findings in the context of temporary agency work.

Residual Depressive Symptoms in Treatment-Resistant Bipolar Depression Following Short-Term Ketamine Administration.

Residual symptoms are frequently observed in a significant number of patients with depression, indicating an unmet need for effective management strategies to achieve functional recovery. This observational study aimed to evaluate the impact of ketamine infusions on depressive symptoms in patients with bipolar disorder who continued their baseline psychotropic and chronic somatic treatments. Datasets of the two consecutive real-world registries (NCT04226963 for 2019-2022; NCT05565352 from 2023 onward) for the tertiary reference center for psychiatry at the Medical University of Gdańsk (Poland) for the safety and tolerability of ketamine use in mood and anxiety disorders were retrospectively analyzed. Depressive symptoms were assessed using the Inventory of Depressive Symptomatology Self-Report 30 (IDS-SR30). Residual symptoms were identified in patients who achieved a treatment response, defined as a 50% or greater reduction in Montgomery-Åsberg Depression Rating Scale (MADRS) scores from baseline to the seventh infusion. Overall, 14 out of 22 patients met the criteria for response. The most commonly persistent depressive symptoms included sad mood (85.7%), view of my future (78.6%), difficulty falling asleep, and leaden paralysis/physical energy (both 71.4%), with the most severe being difficulty falling asleep (64.3%) and sad mood (42.9%). This observational post hoc analysis indicates that the most frequently observed residual depressive symptoms were low mood, altered view of future, sleep disturbances, and low energy levels. This study should be treated with caution as causality does not apply, however, it reports on a real-world population of subjects with treatment-resistant bipolar depression. Establishing standardized definitions for residual symptoms could enhance the quality and comparability of future research in this area.

Which comes first? Comorbidity of depression and anxiety symptoms: A cross-lagged network analysis

Depression and anxiety significantly impact college students, leading to various negative outcomes. While numerous studies have investigated the relationship between these two conditions, their temporal sequence remains unresolved. Many previous studies have concentrated on broad latent variables, often neglecting the nuanced symptomatology perspective, which may offer deeper insight into the clinical characteristics of these disorders. In this study, we collected questionnaire data from a college in South China using a cluster random sampling method. Data collection occurred over two time points, with the first round completed in November 2022 and May 2023, with a six-month interval. A total of 689 participants successfully completed the questionnaires during both rounds. Employing cross-lagged network analysis from a symptom-focused perspective, this research examines the interactions and predictive relationships between symptoms of depression and anxiety. The findings identified key symptoms-specifically “Irritability”, “Guilty” and “Sad mood"- as critical bridging nodes of connection within the depression and anxiety symptom network. Our analysis revealed both bidirectional predictive relationships between certain symptoms nodes of depression and anxiety, as well as unidirectional ones. By highlighting these core nodes and their directional relationships, this study offers valuable insights that can inform targeted intervention and treatment strategies for enhancing mental health among college students.

Empathy strengthens the effect of emotion on beauty.

Past research shows that emotion affects beauty judgments of images and music. Because it is widely supposed that our faculty of empathy facilitates aesthetic experience, we wondered whether individual levels of empathy modulate the effect of emotion on beauty. 164 participants rated the perceived beauty, happiness, and sadness of 12 art images, 12 nature photographs, and 24 songs. The stimuli were presented in two blocks, and participants took the PANAS mood questionnaire before and after each block. Between blocks, they viewed one of three mood induction videos, intended to increase their happiness, increase their sadness, or leave their mood unchanged. We also measured (trait) empathy with the Questionnaire for Cognitive and Affective Empathy. We used structural equation modeling to analyze the effect of empathy on emotion, beauty, and the relationship between them. We assessed four emotion variables: participants' felt happiness and sadness (mood questionnaire ratings) and perceived happiness and sadness (stimulus ratings). We find that higher empathy is associated with stronger positive relationships between beauty and both felt and perceived emotions, for both images and music (β ~ 0.06 per empathy point on a 10-pt. scale, p < 0.001). We also find that perceived happiness and sadness boost beauty directly for both images and music. However, sadness affects music more than images (β = 0.51 vs. 0.12, all p < 0.001), and empathy amplifies this relationship for music but not images. Thus, felt and perceived emotions produce more beauty, more so in more empathic people, and more so with music than images.

Psychopathology symptoms of frontline nurses under sudden public health crisis: A network analysis.

Public health crises can significantly impact the emotional well-being of healthcare workers. Network analysis is a novel approach to exploring interactions between mental disorders at the symptom level. This study aimed to elucidate the characteristics of post-traumatic stress disorder (PTSD), anxiety, depression, and insomnia symptoms network among frontline nurses under sudden public health crisis. A cross-sectional survey was conducted online among 556 frontline nurses through convenience sampling in Hubei Province, China, from 21 February 2020, to 10 March 2020. Symptoms of PTSD, anxiety, depression, and insomnia were assessed by the Post-Traumatic Stress Disorder Checklist (PCL-5), Generalized Anxiety Disorder scale (GAD-7), Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index, respectively. Central symptoms (the most important symptoms, activation has the strongest influence the other nodes) and bridge symptoms (nodes where deactivation can prevent activation from spreading from one disorder to another) were identified via centrality and bridge centrality indices, respectively. Network stability was examined using the case-dropping procedure. We found that the correlation between PHQ-9 item 9 'suicidal thoughts' and PCL-5 item 16 'reckless or self-destructive behaviour' was the strongest. Moreover, 'reckless or self-destructive behaviour' was the strongest central symptom, and PHQ-9 item 3 'sleep problems' was the most important bridge symptom. Other major symptoms included GAD-7 item 6 'uncontrollable anxiety' and PHQ-9 item 2 'depressed or sad mood'. Timely, systemic targeting interventions on central symptoms and bridge symptoms may effectively alleviate co-occurring experiences of psychopathological symptoms among frontline nurses.

Exploring the interconnections of anxiety, depression, sleep problems and health-promoting lifestyles among Chinese university students: a comprehensive network approach.

Anxiety, depression, and sleep problems are prevalent comorbid mental disorders among university students. The World Health Organization (WHO) emphasized a mental health promotion objective, recommending the consideration of protective health-promoting factors in strategies aimed at preventing mental disorders. Integrating theoretically significant constructs (such as protective factors) enhances our comprehension of the intricate mechanisms that underpin mental disorders. This study employed network analysis to first identify core and bridge symptoms within comorbid mental disorders and then explore how health-promoting lifestyles (HPLs) were associated with these disorders. The ultimate goal is to offer health promotion recommendations to enhance students' quality of life. A total of 3,896 qualified university students participated in this study. Anxiety, depression, sleep problems, and HPLs were assessed using the GAD-7, PHQ-9, PSQI, and HPLP-II scales. A Gaussian Graphical Model was used to construct the networks. The Network Comparison Test was applied to determine whether the associations between HPLs and comorbid symptoms vary by gender, educational level, family sibling, and mental health status. Low energy (PHQ4) had the highest strength centrality, followed by Daytime dysfunction (PSQI7) and Trouble relaxing (GAD4). Five bridge symptoms were identified: Daytime dysfunction (PSQI7), Self-harm even suicide (PHQ9), Sad mood (PHQ2), Low energy (PHQ4), and Feeling afraid (GAD7). Regarding protective HPLs, Physical activity, Spiritual growth, and Stress management generally emerged as the top three central mental health-promoting behaviors. Targeting core and bridge symptoms with timely and appropriate interventions can alleviate anxiety, depression, and sleep problems in this population. Moreover, promoting physical activity, fostering spiritual growth, and managing stress are likely to significantly enhance the overall mental health of university students.

A simulation-based network analysis of intervention targets for adolescent depressive and anxiety symptoms

Although previous research has well explored central and bridge symptoms of mental health problems, little examined whether these symptoms can serve as effective targets for intervention practices. Based on the Ising model, this study constructed a network structure of depressive and anxiety symptoms. The NodeIdentifyR algorithm (NIRA) was used to simulate interventions within this network, examining the effects of alleviating or aggravating specific symptoms on the network’s sum scores. In this study, a total of 15,569 participants were recruited from China (50.87 % females, Mage = 13.44; SD = 0.97). The Ising model demonstrated that “sad mood” had the highest expected influence, and “irritability” had the highest bridge expected influence. Alleviating interventions suggested that decreasing the symptom value of “nervousness” resulted in the greatest projected reduction in network symptom activation, which may be a potential target symptom for treatment. Aggravating interventions indicated that elevating the symptom value of “sad mood” had the most projected increase in network activation, which may be a potential target for prevention. Additionally, network structure indices (e.g., central or bridge symptoms) need to be interpreted with more caution as intervention targets, since they may not be exactly the same. These findings enriched the comprehension of the depressive and anxiety network in Chinese adolescents, offering valuable insights for designing effective interventions.

Suicide attempts and correlates among in-school adolescents in Benin City, Nigeria

We aim to add to the literature on suicidality in Africa by estimating the prevalence and exploring the behavioural correlates of suicide attempts among in-school adolescents in Benin City, Nigeria. Utilising a cross-sectional design, participants were a random, stratified sample of students who filled out questionnaires to identify various determinants of suicidal attempts among adolescents between the ages of 10 and 19. We used bivariate and multivariate analyses to determine associations between suicide attempts and other variables. A total of 725 adolescents completed the instruments. Over 13.5% reported suicidal ideation, and approximately 10.5% reported that they had attempted suicide in the last year. At the multivariate level, adolescents who attempted suicide had significantly greater odds of being anxious, lonely, or victims of bullying behaviour. Individuals experiencing persistently sad moods, suicidal thoughts and plans were significantly associated with suicide attempts. Suicidal ideation and attempts are prevalent among adolescents. Assessment of anxiety, loneliness, and persistently sad moods as risk factors for suicide attempts among adolescents is vital. Indicators of bullying appear to be particularly relevant to the risk of suicide attempts among adolescents and should be given attention as part of risk assessments. We suggest that bullying prevention programs and early identification of the risk factors be a vital part of strategies for initiating and maintaining public health interventions pitched toward suicide prevention in Nigeria and Africa. This study will, in addition, provide a baseline for future studies on suicidal behaviour.

Network analysis of relationships between depressive symptoms and stressful life events in Chinese vocational school students

BackgroundChina's vocational high school students, approximately 13 million, confront unique stressors that may predispose them to depression. Our research investigates core and bridge depressive symptoms and their causal links with stressors in this demographic. MethodWe measured depressive symptoms and stressful life events in 4967 students aged 14–19 using the PHQ-8 and ASLEC, and analyzed the data using GGM and DAG to explore: 1) central depressive symptoms; 2) bridge symptoms/events; and 3) causal relationships. ResultsFatigue surfaced as the central depressive symptom, with guilt, sad mood, and school dislike as bridges to stressors. Guilt was pivotal in influencing other symptoms within the depression network. Fights were a primary trigger, while school dislike led to further depressive symptoms. Stressors generally led to depression, notably the study pressure to guilt pathway. A unique sad mood to heartbreak link was found. ConclusionsCore depression symptoms and bridge symptoms/events between depression and stressful life events in vocational high school students were pinpointed. The results highlight the importance of addressing interpersonal conflicts, family pressures, and emotions like fatigue and guilt to mitigate the transmission of stressful life events into depressive symptoms.

Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from COVID-19: a national survey in China

Psychiatric syndromes are common following recovery from Coronavirus Disease 2019 (COVID-19) infection. This study investigated the prevalence and the network structure of depression, insomnia, and suicidality among mental health professionals (MHPs) who recovered from COVID-19. Depression and insomnia were assessed with the Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index questionnaire (ISI7) respectively. Suicidality items comprising suicidal ideation, suicidal plan and suicidal attempt were evaluated with binary response (no/yes) items. Network analyses with Ising model were conducted to identify the central symptoms of the network and their links to suicidality. A total of 9858 COVID-19 survivors were enrolled in a survey of MHPs. The prevalence of depression and insomnia were 47.10% (95% confidence interval (CI) = 46.09–48.06%) and 36.2% (95%CI = 35.35–37.21%), respectively, while the overall prevalence of suicidality was 7.8% (95%CI = 7.31–8.37%). The key central nodes included “Distress caused by the sleep difficulties” (ISI7) (EI = 1.34), “Interference with daytime functioning” (ISI5) (EI = 1.08), and “Sleep dissatisfaction” (ISI4) (EI = 0.74). “Fatigue” (PHQ4) (Bridge EI = 1.98), “Distress caused by sleep difficulties” (ISI7) (Bridge EI = 1.71), and “Motor Disturbances” (PHQ8) (Bridge EI = 1.67) were important bridge symptoms. The flow network indicated that the edge between the nodes of “Suicidality” (SU) and “Guilt” (PHQ6) showed the strongest connection (Edge Weight= 1.17, followed by “Suicidality” (SU) - “Sad mood” (PHQ2) (Edge Weight = 0.68)). The network analysis results suggest that insomnia symptoms play a critical role in the activation of the insomnia-depression-suicidality network model of COVID-19 survivors, while suicidality is more susceptible to the influence of depressive symptoms. These findings may have implications for developing prevention and intervention strategies for mental health conditions following recovery from COVID-19.

Behavioral anhedonia in Major Depressive Disorder (MDD)

Introduction: Depression is a major public health problem, with existing pharmacological and non-pharmacological treatments not equally effective in all patients. The complex etiology and pathogenesis of depression pose a challenge that requires different approach strategies to effectively alleviate this mental symptom. Anhedonia, or loss of interest and pleasure in commonly enjoyed activities, is one of the main diagnostic criteria for depressive disorders in the psychiatric diagnostic systems of the Diagnostic Statistical Manual (DSM) and International Statistical Classification of Diseases (ICD). Major depressive disorder indicates a depressive condition that does not solely rely on reports of sad mood but the presence of anhedonia behavior. The review of these studies aims to determine changes in anhedonia behavior in depressive disorders. Methods: This research review was prepared using the literature review method by collecting valid scientific literature, namely Google Scholar, PubMed and Scientific Direct. Discussion: Anhedonia behavior is related to several factors, including social interaction is the most complex and ambiguous human environment. Hence the existence of rules that are fraught with misunderstandings. It requires complex examination to determine exactly what the rewarding components of social interaction are.

The temporal order of emotional, cognitive, and behavioral gains in daily life during treatment of depression.

Despite the importance for understanding mechanisms of change, little is known about the order of change in daily life emotions, cognitions, and behaviors during treatment of depression. This study examined the within-person temporal order of emotional, cognitive, and behavioral improvements using ecological momentary assessment data. Thirty-two individuals with diagnosed depression completed ecological momentary assessment questions on emotions (sad mood, happy mood), behaviors (social interaction, number of activities), and cognitive variables (worrying, negative self-thoughts) 5 times a day during a 4-month period in which they underwent psychotherapy for depression. Nonparametric change-point analyses were used to determine the timing of gains (i.e., improvements in the mean of each variable) for each individual. We then established whether the first (i.e., earliest) gains in emotions preceded, followed, or occurred in the same week as cognitive and behavioral gains for each individual. Contrary to our hypotheses, first gains in behaviors did not precede first emotional gains (3 times, 8%) more often than they followed them (26 times, 70%). Cognitive gains often occurred in the same week as first emotional gains (43 times, 58%) and less often preceded (13 times, 18%) or followed emotional gains (18 times, 24%). The first improvements in behaviors did not tend to precede the first improvements in emotions likely because fewer behavioral gains were found. The finding that cognitive variables tend to improve around the same time as sad mood may explain why many studies failed to find that cognitive change predicts later change in depressive symptoms. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Anxiety and depression in nasopharyngeal carcinoma patients and network analysis to identify central symptoms: A cross-sectional study from a high-incidence area

PurposeTo determine the prevalence of anxiety and depression in patients with nasopharyngeal carcinoma (NPC) and to identify central symptoms and bridge symptoms among psychiatric disorders. MethodsThis cross-sectional study recruited patients with NPC in Guangzhou, China from May 2022, to October 2022. The General Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) were used for screening anxiety and depression, respectively. Network analysis was conducted to evaluate the centrality and connectivity of the symptoms of anxiety, depression, quality of life (QoL) and insomnia. ResultsA total of 2806 respondents with complete GAD-7 and PHQ-9 scores out of 3828 were enrolled. The incidence of anxiety in the whole population was 26.5% (depression, 28.5%; either anxiety or depression, 34.8%). Anxiety was highest at caner diagnosis (34.2%), while depression reached a peak at late-stage radiotherapy (48.5%). Both moderate and severe anxiety and depression were exacerbated during radiotherapy. Coexisting anxiety and depression occurred in 58.3% of those with either anxiety or depression. The generated network showed that anxiety and depression symptoms were closely connected; insomnia was strongly connected with QoL. “Sad mood”, “Lack of energy”, and “Trouble relaxing” were the most important items in the network. Insomnia was the most significant bridge item that connected symptom groups. ConclusionPatients with NPC are facing alarming disturbances of psychiatric disorders; tailored strategies should be implemented for high-risk patients. Besides, central symptoms (sad mood, lack of energy, and trouble relaxing) and bridge symptoms (insomnia) may be potential interventional targets in future clinical practice.

Emotion-Induced Frontal Alpha Asymmetry as a Candidate Predictor of Relapse After Discontinuation of Antidepressant Medication

BackgroundOne in 3 patients relapse after antidepressant discontinuation. Thus, the prevention of relapse after achieving remission is an important component in the long-term management of major depressive disorder. However, no clinical or other predictors are established. Frontal reactivity to sad mood as measured by functional magnetic resonance imaging has been reported to relate to relapse independently of antidepressant discontinuation and is an interesting candidate predictor. MethodsPatients (n = 56) who had remitted from a depressive episode while taking antidepressants underwent electroencephalography (EEG) recording during a sad mood induction procedure prior to gradually discontinuing their medication. Relapse was assessed over a 6-month follow-up period. Thirty five healthy control participants were also tested. Current source density of the EEG power in the alpha band (8–13 Hz) was extracted and alpha asymmetry was computed by comparing the power across 2 hemispheres at frontal electrodes (F5 and F6). ResultsSad mood induction was robust across all groups. Reactivity of alpha asymmetry to sad mood did not distinguish healthy control participants from patients with remitted major depressive disorder on medication. However, the 14 (25%) patients who relapsed during the follow-up period after discontinuing medication showed significantly reduced reactivity in alpha asymmetry compared with patients who remained well. This EEG signal provided predictive power (69% out-of-sample balanced accuracy and a positive predictive value of 0.75). ConclusionsA simple EEG-based measure of emotional reactivity may have potential to contribute to clinical prediction models of antidepressant discontinuation. Given the very small sample size, this finding must be interpreted with caution and requires replication in a larger study.

The comorbid network characteristics of anxiety and depressive symptoms among Chinese college freshmen.

This study aimed to investigate the interplay between anxiety and depressive symptoms in Chinese college freshmen using the causal system perspective (CSP), which differs from the traditional common cause perspective (CCP) by providing an alternative explanation by attributing comorbidity to direct interactions among symptoms. A convenience sample of 2,082 Chinese college freshmen (39.51% male, Mage = 18.61) from a normal university completed the Generalized Anxiety Disorder 7-Item Scale (GAD-7) and the Patient Health Questionnaire (PHQ-9). Network analysis was conducted and evaluated as to centrality, stability, node predictability, and bridging features. Moreover, the moderated network model (MNM) was utilized to detect the moderation effects of gender in the comorbidity network. The network of anxiety and depressive symptoms exhibited stability, characterized by the core symptoms of "restlessness", "lack of energy", and "excessive worry about control", as well as the bridging symptoms of "fearfulness", "sad mood", and "irritability". Notably, the nodes representing "uncontrollable worry" and "difficulty in relaxation" demonstrated the highest predictive power. Gender did not exert any moderating effects on the anxiety and depressive symptom network. These results reinforce that certain anxiety or depressive symptoms are more central than others, and thus play a more vital role in the comorbid network. These findings highlight underlying potential targeting symptoms to consider in future interventions.

Dietary supplement for mood symptoms in early postpartum: a double-blind randomized placebo controlled trial

Postpartum blues (PPB) is a frequent syndrome of sad mood, crying spells, anxiety, restlessness, reduced appetite, and irritability, typically peaking day 5 postpartum. When severe, it greatly increases risk for later postpartum depression. This trial compared a dietary supplement to placebo on PPB severity. The supplement was designed to counter downstream effects of elevated monoamine oxidase A level, implicated in causing PPB. Participants recruited by advertisement from the Toronto region completed procedures at CAMH, Canada and/or participants' homes. Oral supplement or identical appearing relatively inert placebo were administered in randomised, double-blind fashion. Supplement was blueberry juice and extract given four times between nighttime day 3 and morning day 5 postpartum; tryptophan 2g nighttime day 4 postpartum, and tyrosine 10g morning day 5 postpartum. On day 5, depressed mood induction procedure (MIP) and postpartum blues were assessed. All data is presented (NCT03296956 closed, clinicaltrials.gov). Between January 2019 and December 2022, participants took supplement (n=51) or placebo (n=52). There was no significant effect on primary outcome MIP on visual analogue scale for depressed mood (mean difference=-0.39mm, 95% CI:-6.42 to 5.65mm). Stein Maternity Blues scores, exploratory PPB measure, was lower in the active group (effect size 0.62; median, interquartile range (IQR): active 2.00 (IQR 1, 4); placebo 4.00 (IQR 1.5, 6); regression with general linear model, supplement effect, β coefficient=-1.50 (95%: CI-2.60,-0.40), p=0.008; effect of CES-D crying category before supplement, p=0.03-0.00000023). Twenty-six and 40 different adverse events occurred within 25% and 42% of supplement and placebo cases respectively (Chi-Square, p=0.06). The primary outcome was negative for effect on depressed mood induction, however the supplement moderately reduced PPB. CAMH/Exeltis.

Analysis of the correlation between general postpartum well-being and depression in primiparas: A cross-sectional study.

To investigate the status quo and influencing factors of general postpartum well-being in primiparas, analyze its correlation with postpartum depression, and provide a theoretical foundation for enhancing the postpartum well-being of primiparas. From the start of November 2021 to the end of December 2021, the General Information Questionnaire, General Well-Being Scale, and the Edinburgh Postpartum Depression Scale were used to survey primiparas in a tertiary hospital, and the correlation between general well-being and postpartum depression was analyzed. We surveyed a total of 225 primiparas. The average score for general well-being in primiparas was 77.84 ± 6.83, and the total score for postpartum depression was 9.11 ± 2.51. Confinement location, planned pregnancy, pregnancy complications, neonatal sex, medical expenses, etc, had statistically significant effects on the general well-being scores (P < .05), whereas per capita monthly income, pregnancy complications, maternal and infant care skills, and medical expenses had statistically significant effects on postpartum depression scores (P < .05). Postpartum depression scores were negatively correlated with general well-being, health anxiety, energy, sad or happy mood, relaxation, and tension. There is a negative correlation between the general well-being of primiparas and postpartum depression, suggesting that in clinical care, the focus should be on primiparas with pregnancy complications, and psychological counseling should be provided in advance to prevent postpartum depression and the resulting decrease in well-being.

Network analysis of suicide ideation and depression–anxiety symptoms among Chinese adolescents

BackgroundThe co-occurrence of depression and anxiety among adolescents is typically associated with suicide ideation.AimsThe study aimed to investigate the symptom-level relationship between suicide ideation and the comorbidity of depression and...