Modeling longitudinal relationships between sleep disturbances and depressed mood in postpartum: A cross-lagged panel design.

BACKGROUND: This short communication explores the interrelationships between depressed mood and sleep disturbances in one-year postpartum period. METHODS: Utilizing data from the Interaction of Gene and Environment of Depression during PostPartum Cohort (IGEDEPP) involving 3310 French postpartum women, we employed a cross-lagged panel model (CLPM) to analyze the relationships between these two symptoms, across three time points (immediate postpartum [<1 week after delivery], early postpartum [<2 months after delivery], and late postpartum [2 months to 1 years after delivery]). RESULTS: Depressed mood significantly influences sleep disturbances in late postpartum (ß = 0.096, z-value = 7.4; p < 0.001) but not in early postpartum (p-value = 0.9). We found no cross-lagged influence of sleep disturbances on depressed mood in early (p = 0.066) or in late postpartum (p = 0.060). Moreover, depressed mood and sleep disturbances in immediate postpartum are predictive of similar symptoms in the two other postpartum periods (between each of the three periods, p = 0.006 and p < 0.001 for depressed mood, and p = 0.039 and p < 0.001 for sleep disturbances), thus demonstrating the stability of these symptoms over time. LIMITATIONS: Although conducted with a prospectively assessed cohort, this study faces limitations due to potential methodological biases. CONCLUSIONS: This study is a pioneering analysis of mutual causal interactions between depressed mood and sleep disturbances in the postpartum period, highlighting the need for vigilant monitoring, early detection, prevention of worsen outcomes and intervention on these symptoms.

Moving toward affective immunology: Legacy and future directions.

The term "affective immunology" has recently been used to denote a field focused on the interplay between affective processes (including mood states, specific emotions, and regulatory processes) and various aspects of immune function. The overarching goals of this commentary are a) to provide historical underpinnings of this field with a focus on the profound impact of the work of Janice Kiecolt-Glaser, who is further honored in this special issue, b) to review important off-shoots of her legacy work in this domain, and c) to highlight important future directions for the field. Kiecolt-Glaser's work laid much of the foundation for affective immunology, with groundbreaking research related to depression, hostility and dyadic interactions, loneliness, and other affective patterns, often in the context of holistic models, novel experimental designs, and interventions. Her former mentees (and many of their mentees) have carried on her legacy in these domains, in ways that continue to advance appreciation of how affective processes relate to immune function. There are numerous remaining questions for the field to pursue, including better understanding of the role of emotion regulation, emotional reactivity and recovery, restorative processes, affective variability, and developmental and dynamic social processes. Such work will require greater use of longitudinal and within-person approaches and/or examination of processes in daily life, as well as models that account for interactive and reciprocal processes and which integrate behavior, social context, sociocultural factors, individual differences, and other aspects of health. As more work in these domains continues, building on Kiecolt-Glaser's rich legacy, we move toward the emergence of affective immunology as an important subfield in the domain of psychoneuroimmunology, one which will offer more nuanced understanding of the role of affective processes in immune health.

Sleep deficiency and symptoms of pain, fatigue, and depressed mood in youth with and without childhood systemic lupus erythematosus.

STUDY OBJECTIVES: To describe and compare sleep deficiency and symptoms of pain, fatigue, and depressed mood in youth with childhood Systemic lupus erythematosus (cSLE) to a healthy comparison group of youth; and to test the associations between sleep and symptoms of pain, fatigue, and depressed mood in youth with cSLE. METHODS: Forty-three youth (23 youth with cSLE; 20 age, sex-matched healthy youth) wore actigraphs and completed sleep diaries for 10 days, and completed self-report questionnaires on sleep quality, pain, fatigue, and depressed mood. RESULTS: On average, both groups had a total sleep time of less than 7 hours. Youth with cSLE had worse sleep efficiency (73.3%) and sleep regularity index scores (55.4) compared to the healthy comparison group of youth (79.2%, 60.1, respectively). Youth with cSLE had worse pain (p = .03) and fatigue (p = .004) compared to the healthy comparison group. Negative associations were found among self-reported sleep quality, sleep satisfaction, and symptoms of pain, fatigue, and depressed mood in youth with cSLE and wake after sleep onset was positively associated with fatigue. CONCLUSIONS: Poor sleep efficiency and sleep irregularity accompanied by symptoms of pain, fatigue, and depressed mood was prevalent in youth with cSLE. Youth with lupus should be encouraged to maintain a regular sleep schedule. Since, this is the first study to incorporate objective sleep and sleep regularity measures in youth with cSLE, additional studies with objective and self-report sleep measures are needed to replicate our findings.

Racial differences in links between perceived discrimination, depressive symptoms, and ambulatory working memory.

OBJECTIVES: Perceived discrimination is associated with racial cognitive health disparities. Links between discrimination and cognitive performance, like working memory, in everyday settings (i.e. ambulatory performance) require investigation. Depressive symptoms may be a mechanism through which discrimination relates to ambulatory working memory. METHOD: Discrimination, retrospective and momentary depressive symptoms/mood, and aggregated and momentary working memory performance among older Black and White adults were examined within the Einstein Aging Study. RESULTS: Racially stratified analyses revealed that discrimination did not relate to Black or White adults' ambulatory working memory. Among Black adults, however, more frequent discrimination was associated with greater retrospectively reported depressive symptoms, which related to more working memory errors across two weeks (indirect effect p < 0.05). This path was not significant among White adults. Links between discrimination and momentary working memory were not explained by momentary reports of depressed mood for Black or White adults. CONCLUSION: Depressive symptoms may play an important role in the link between discrimination and ambulatory working memory among Black adults across extended measurements, but not at the momentary level. Future research should address ambulatory cognition and momentary reports of discrimination and depression to better understand how to minimize cognitive health disparities associated with discrimination.

Efficacy of Magnesium Sulfate and Labetalol in the Treatment of Pregnancy-Induced Hypertension and Its Effect on Anxiety and Depression: A Retrospective Cohort Study.

Background: In this study, the effect of magnesium sulfate and labetalol in treating pregnancy-induced hypertension (PIH) and its influence on anxiety and depression in patients are observed, and new ideas for treating anxiety and depression in PIH are introduced. Methods: A retrospective cohort study was conducted to select patients with PlH diagnosed from July 2020 to July 2023 from Affiliated Hospital of Electronic Science and Technology University and Chengdu Women' s and Children's Central Hospital in Chengdu of Sichuan Province. The changes in blood pressure, Edinburgh Postnatal Depression Scale (EPDS), and generalized anxiety disorder 7 (GAD-7) in patients with hypertensive pregnancy were collected and analyzed. Results: In our investigation, 219 patients completed the study, and 36.1% (79/219) of them developed anxiety and depression. According to whether the patients were treated with magnesium sulfate and labetalol, 49 cases were assigned to the magnesium sulfate and labetalol treatment (MSLT) group, and 30 cases were assigned to the conventional treatment (CT) group. Edinburgh Postnatal Depression Scale scores and GAD-7 scores in the MSLT group were significantly lower than those in the CT group, indicating that magnesium sulfate and labetalol can improve anxiety and depression in hypertensive patients during pregnancy. The difference was statistically significant (P < .05). According to the changes in systolic blood pressure, the clinical efficacy of patients was evaluated, and no significant difference in efficacy existed between the MSLT and CT groups. Conclusion: Magnesium sulfate and labetalol can control the blood pressure of patients with PIH and indirectly improve anxiety and depression in patients with PIH, thereby introducing new ideas for the treatment of PIH accompanied by anxiety and depression.

Differences in fractional amplitude of low-frequency fluctuations (fALFF) and cognitive function between untreated major depressive disorder and schizophrenia with depressive mood patients.

BACKGROUND: Distinguishing untreated major depressive disorder without medication (MDD) from schizophrenia with depressed mood (SZDM) poses a clinical challenge. This study aims to investigate differences in fractional amplitude of low-frequency fluctuations (fALFF) and cognition in untreated MDD and SZDM patients. METHODS: The study included 42 untreated MDD cases, 30 SZDM patients, and 46 healthy controls (HC). Cognitive assessment utilized the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Resting-state functional magnetic resonance imaging (rs-fMRI) scans were conducted, and data were processed using fALFF in slow-4 and slow-5 bands. RESULTS: Significant fALFF changes were observed in four brain regions across MDD, SZDM, and HC groups for both slow-4 and slow-5 fALFF. Compared to SZDM, the MDD group showed increased slow-5 fALFF in the right gyrus rectus (RGR). Relative to HC, SZDM exhibited decreased slow-5 fALFF in the left gyrus rectus (LGR) and increased slow-5 fALFF in the right putamen. Changes in slow-5 fALFF in both RGR and LGR were negatively correlated with RBANS scores. No significant correlations were found between remaining fALFF (slow-4 and slow-5 bands) and RBANS scores in MDD or SZDM groups. CONCLUSIONS: Alterations in slow-5 fALFF in RGR may serve as potential biomarkers for distinguishing MDD from SZDM, providing preliminary insights into the neural mechanisms of cognitive function in schizophrenia.

Behavioral Activation Mobile App to Motivate Smokers to Quit: Feasibility and Pilot Randomized Controlled Trial.

BACKGROUND: Behavioral activation (BA) is an evidence-based treatment for depression that fosters engagement in values-based activities to increase access to positive reinforcement. Depressed mood has been shown to hinder smoking cessation. OBJECTIVE: This study determined the feasibility and preliminary efficacy of a mobile app to motivate smokers to quit by using BA and integrating motivational messages to quit smoking. METHODS: Adult smokers (N=56; mean age 34.5, SD 9.52 years) who were not ready to quit smoking within 30 days were recruited from advertisements and randomized to either 8 weeks of the BA app (set 2 values-based activities per week+motivational messages+feedback on changes in smoking, mood, and values-based activities) or the control group (no app; received resources for quitting smoking). All participants completed the baseline and end-of-treatment web-based questionnaires. Controls also completed weekly web-based assessments, and BA app participants completed assessments through the app. RESULTS: There were no dropouts and only 2 participants in each condition did not complete the end-of-treatment questionnaire. The results demonstrated that it is feasible to recruit smokers who are unmotivated to quit into a smoking cessation induction trial: 86% (57/66) of eligible participants were randomized (BA app: n=27; control: n=29). Participants reported high levels of satisfaction: 80% (20/25) of participants said they would recommend the BA app, there were moderate-to-high scores on the Mobile App Rating Scale, and 88% (22/25) of participants rated the app 3 stars or higher (out of 5). There were high levels of BA app engagement: 96% (26/27) of participants planned activities, and 67% (18/27) of participants planned 7 or more activities. High engagement was found even among those who were at the highest risk for continued smoking (low motivation to quit, low confidence to quit, and high negative affect). The results provided support for the hypothesized relationships between BA constructs: greater pleasant activity completion was associated with greater positive affect (b=0.37, SE 0.21; 95% CI -0.05 to 0.79; P=.08), and greater positive affect tended to predict fewer cigarettes smoked the next day (b=-0.19, SE 0.10; 95% CI -0.39 to 0.01; P=.06). Additionally, a greater number of activities planned was associated with lower negative affect (b=-0.26, SE 0.15; 95% CI -0.55 to 0.04; P=.09). Overall, 16% (4/25) of BA app participants set a quit date versus 4% (1/27) among controls, and there were promising (but not significant) trends for motivation and confidence to quit. CONCLUSIONS: The findings suggest that a mobile app intervention can be made appealing to smokers who are unmotivated to quit by focusing on aspects most important to them, such as mood management. This theory-based intervention has shown some initial support for the underlying theoretical constructs, and further efficacy testing is warranted in a fully powered trial.

Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management.

The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of complex relationships from massive datasets. Initially, AI algorithms focused on improved interpretation of diagnostic studies such as chest X-rays and electrocardiograms in addition to predicting patient outcomes and future disease onset. However, AI has evolved with the introduction of transformer models, allowing analysis of the diverse, multimodal data sources existing in medicine today. Multimodal AI holds great promise in more accurate disease risk assessment and stratification as well as optimizing the key driving factors in cardiometabolic disease: blood pressure, sleep, stress, glucose control, weight, nutrition, and physical activity. In this article we outline the current state of medical AI in cardiometabolic disease, highlighting the potential of multimodal AI to augment personalized prevention and treatment strategies in cardiometabolic disease.

Social inequality in the association between life transitions into adulthood and depressed mood: a 27-year longitudinal study.

Background: Few studies have considered the life-course development of depressive symptoms in relation to life transitions in early-adulthood and whether these might affect depressive trajectories differently depending on specific indicators of parental socioeconomic status (SES). In the present work, we explore these questions using the adolescent pathway model as a guiding framework to test socially differential exposure, tracking and vulnerability of the effects of life transitions on depressed mood across different socioeconomic backgrounds. Methods: Latent growth modeling was used to estimate the associations between indicators of parental SES (parental education and household income) and depressed mood from age 13 to 40 with life transitions (leaving the parental home, leaving the educational system, beginning cohabitation, attaining employment) as pathways between the two. Our analyses were based on a 27-year longitudinal dataset (n = 1242) of a Norwegian cohort with 10 time points in total. To make socioeconomic comparisons, three groups (low, mid, and high) were made for parental education and income respectively. Results: Depressed mood decreased from age 13 to 40. The low and high parental education groups showed a stable difference in depressed mood during early adolescence, which decreased in young adulthood and then increased slightly in mid-adulthood. The low household income group showed higher depressed mood across young adulthood compared to the medium and higher household income groups. For life transitions, leaving the parental home and beginning cohabitation was associated with an added downturn of the trajectory of depressed mood when adjusting for other transitions. However, adolescents with high parental education showed a relatively stronger decrease in depressed mood when leaving the parental home. Similarly, adolescents with a high household income showed a relatively stronger decrease in depressed mood when leaving the educational system. Conclusions: Depressed mood decreased over time and developed differently depending on parental education and household income. Life transitions were generally associated with reductions in depressed mood across time, but lower SES youths were not found to be more socially vulnerable these effects.

The mediating role of sleep problems and depressed mood between psychological abuse/neglect and suicidal ideation in adolescent childhood: a multicentred, large sample survey in Western China.

BACKGROUND: Adolescent suicidal ideation are associated with factors including psychological abuse/neglect, sleep problems, and depressed mood, but the systematic effects of these factors on suicidal ideation remain unclear, which is a research gap this work aims to fill. METHODS: A multi-center, the cluster sampling method was employed to collect general demographic data, such as age, gender, the experience of being left behind, and parents' marital status, from 12,192 students across 17 secondary schools in China. The Child Psychological Abuse and Neglect Scale (CPANS), Pittsburgh Sleep Quality Index (PSQI), the Chinese version of the Depressed mood, Anxiety and Stress Scale - 21 Items (DASS-21) and Chinese version of Positive and Negative Suicide Ideation Inventory (PANSI) were utilized. Data were analyzed using t-tests, chi-square tests, correlation analyses, and structural equation modeling mediation analyses. RESULTS: The prevalence of psychological abuse/neglect and adolescent suicidal ideation was 34.8% and 13%, respectively. This mediation analysis suggests that, in the relationship between psychological abuse/neglect and suicidal ideation, sleep problems and depressed mood play both parallel and sequential mediating roles. CONCLUSION: Sleep problems and depressed mood play a mediating role in the development of suicidal ideation in adolescents. Good sleep habits and depressed mood interventions help reduce the risk of suicidal ideation in adolescents who experience psychological neglect/abuse.

Defocused mode in depressed mood and its changes in time-frequency attention-related beta.

Depressed mood has been proposed to possibly possess a unique mode of defocused attention. However, this argument needs to be supported by experimental evidence based on attentional performance. The present study used a perceptual load paradigm, combining factors of perceptual load, distractor-target compatibility, and eccentricity, to investigate the degree of attentional distraction in depressed mood. In addition, the mode of attentional distraction associated with depressed mood was explored with the time-frequency features of electroencephalography (EEG). The behavioral results showed that the high depressed mood (HD) group had significantly higher attentional distraction than the low depressed mood (LD) group. EEG results showed that 1) the beta power (especially beta-2, 18-30 Hz) of the two groups differed in the medio-late part of the attentional distraction, with significantly lower power in the HD group than in the LD group; 2) the results of the correlation between beta-2 power and depression scores revealed a significant negative correlation. These results imply that beta-2 is a potential marker that may be sensitive to depressed mood during attentional processing, which was further supported by the classification results of the support vector machine (SVM) with 80.65% accuracy between the HD and LD groups.

Classification of high-risk depressed mood groups in cancer patients based on Health Ecology Model.

BACKGROUND: Depressed mood affects a significant number of patients with cancer, and can impair their quality of life and interfere with successful treatment. Our study aims to create a predictive model for identifying high-risk groups of depressed mood in cancer patients, offering a theoretical support for preventing depressed mood in these individuals. METHODS: The China Health and Retirement Longitudinal Study (CHARLS) provided the data for this research, which used CES-D as a tool to identify individuals with depressed mood. Influencing factors of depressed mood in cancer patients was analyzed using a binary logistic regression model. Using the Harvard Cancer Index, we classified the high-risk patients for depressed mood. RESULTS: In present study, 52.96 % of cancer patients met criteria for depressed mood based on the CES-D. Significant correlations were found between depressed mood and factors such as gender, self-rated health, sleep duration, exercise, satisfaction with family, residence, education, life satisfaction, and medical insurance. Utilizing the Harvard Cancer Index, we classified patients into five risk levels for depressed mood, revealing a significant variation in the number of depressive patients across these levels (x2=99.82, P < 0.05). Notably, the incidence of depressed mood increased with the risk level among cancer patients (x2=103.40, P < 0.05). LIMITATIONS: Lack of data on tumor typing and subgroups makes it unlikely to explore the specifics of depressed mood in patients with various types of cancer. CONCLUSION: The determinants of depressed mood in cancer patients are multi-dimensional. The Harvard Cancer Index may be helpful in identifying high-risk populations.

Childhood maltreatment and depressed mood in female college students: A daily diary analysis.

BACKGROUND: Childhood maltreatment has well-documented relations with depressed mood. However, few studies have used a daily diary methodology to investigate the association between all five forms of childhood maltreatment (emotional, physical, and sexual abuse, emotional and physical neglect) and depressed mood, and the mechanisms underlying the association remain unclear. OBJECTIVE: The current study sought to examine the associations of multiple forms of childhood maltreatment with depressed mood via a 14-day daily diary methodology, and investigate the mediating effects of self-compassion and perceived social support. METHODS: A sample of 220 Chinese female college students (Mage = 19.13 years) participated in this study and completed questionnaires regarding childhood maltreatment, self-compassion, perceived social support and depressed mood. RESULTS: The multilevel regression analysis indicated that only emotional abuse was slightly associated with depressed mood, while emotional neglect, physical abuse, physical neglect, or sexual abuse were not associated with depressed mood. The multilevel mediation analysis further revealed that self-compassion and perceived social support independently mediated the association of childhood emotional abuse with depressed mood. CONCLUSIONS: Overall, these results emphasize the specific association between childhood emotional abuse and daily depressed mood, and further support self-compassion and perceived social support as explanatory mechanisms linking childhood emotional abuse with later depressed mood.

Social network associated with depressed mood and sarcopenia among older adults in Taiwan.

BACKGROUND: Social isolation is increasing in aging societies; however, its relationship with depressed mood and sarcopenia is not well studied. This study aims to examine the influence of social network on depressed mood and sarcopenia among community-dwelling older adults in Taiwan. METHODS: We collected data from a sample of 981 older adults residing in the community. These individuals received government-subsidized preventive healthcare services for adults at a district hospital in Taipei in 2021. The social network of the older adults who participated was assessed using the Lubben Social Network Scale, while depressed mood was assessed using the Geriatric Depression Scale. The definition of sarcopenia used in this study was based on the 2019 Asian Working Group for Sarcopenia. RESULTS: According to this study, sarcopenia was present in approximately 15 % of older adults. Multiple logistic regression analysis showed that older adults who had poor social network and did not meet the recommended 150 min of regular physical activity per week were more likely to have depressed mood. Additionally, older adults who were older, underweight, did not engage in regular physical activity, and had poor social network were more likely to have sarcopenia. CONCLUSION: Poor social network was associated with increased risks of depressed mood and sarcopenia among older adults.

Patient Health Questionnaire-9 Item Pairing Predictiveness for Prescreening Depressive Symptomatology: Machine Learning Analysis.

BACKGROUND: Anhedonia and depressed mood are considered the cardinal symptoms of major depressive disorder. These are the first 2 items of the Patient Health Questionnaire (PHQ)-9 and comprise the ultrabrief PHQ-2 used for prescreening depressive symptomatology. The prescreening performance of alternative PHQ-9 item pairings is rarely compared with that of the PHQ-2. OBJECTIVE: This study aims to use machine learning (ML) with the PHQ-9 items to identify and validate the most predictive 2-item depressive symptomatology ultrabrief questionnaire and to test the generalizability of the best pairings found on the primary data set, with 6 external data sets from different populations to validate their use as prescreening instruments. METHODS: All 36 possible PHQ-9 item pairings (each yielding scores of 0-6) were investigated using ML-based methods with logistic regression models. Their performances were evaluated based on the classification of depressive symptomatology, defined as PHQ-9 scores ≥10. This gave each pairing an equal opportunity and avoided any bias in item pairing selection. RESULTS: The ML-based PHQ-9 items 2 and 4 (phq2&4), the depressed mood and low-energy item pairing, and PHQ-9 items 2 and 8 (phq2&8), the depressed mood and psychomotor retardation or agitation item pairing, were found to be the best on the primary data set training split. They generalized well on the primary data set test split with area under the curves (AUCs) of 0.954 and 0.946, respectively, compared with an AUC of 0.942 for the PHQ-2. The phq2&4 had a higher AUC than the PHQ-2 on all 6 external data sets, and the phq2&8 had a higher AUC than the PHQ-2 on 3 data sets. The phq2&4 had the highest Youden index (an unweighted average of sensitivity and specificity) on 2 external data sets, and the phq2&8 had the highest Youden index on another 2. The PHQ-2≥2 cutoff also had the highest Youden index on 2 external data sets, joint highest with the phq2&4 on 1, but its performance fluctuated the most. The PHQ-2≥3 cutoff had the highest Youden index on 1 external data set. The sensitivity and specificity achieved by the phq2&4 and phq2&8 were more evenly balanced than the PHQ-2≥2 and ≥3 cutoffs. CONCLUSIONS: The PHQ-2 did not prove to be a more effective prescreening instrument when compared with other PHQ-9 item pairings. Evaluating all item pairings showed that, compared with alternative partner items, the anhedonia item underperformed alongside the depressed mood item. This suggests that the inclusion of anhedonia as a core symptom of depression and its presence in ultrabrief questionnaires may be incompatible with the empirical evidence. The use of the PHQ-2 to prescreen for depressive symptomatology could result in a greater number of misclassifications than alternative item pairings.

Depressed Mood as a Significant Risk Factor for Gynecological Cancer Aggravation.

BACKGROUND: The aim of this study was to evaluate the relationship between depressed mood and gynecological cancer outcomes, identifying risk factors for cancer aggravation. METHODS: This study was a retrospective analysis of gynecological cancer patients (January 2020-August 2022) at Korea University Anam Hospital using Patient Health Questionnaire-9 (PHQ-9). Patients were classified into non-depressed mood (NDM)- and depressed mood (DM)-based scores. Statistical analysis was performed using Student's t-test, chi-square test, Fisher's exact test, Kaplan-Meier analysis, and Cox regression analyzing using SPSS. RESULTS: Of the 217 participants, the NDM group comprised 129 patients, and the DM group comprised 88. The two-year disease-free survival (DFS) rates showed significant differences (NDM, 93.6%; DM 86.4%; p = 0.006), but overall survival (OS) did not (p = 0.128). Patients with stage 3 or higher cancer, undergoing five or more chemotherapies, experiencing post-chemotherapy side effects, and depressed mood had an increased risk of cancer aggravation. CONCLUSIONS: Appropriate treatment of depressed mood, as well as adequate treatment for advanced gynecological cancer patients, those with numerous CTx., and those with post-CTx. side effects, may contribute to reducing the risk of cancer aggravation.

Relationships of walking activity with depressed mood and suicidal ideation among the middle-aged Korean population: a nationwide cross-sectional study.

Introduction: The suicide rate of middle-aged adults has increased rapidly, which is a significant public health concern. A depressed mood and suicidal ideation are significant risk factors for suicide, and non-pharmacological interventions such as exercise therapy have been suggested as potential treatments. Walking is a feasible and accessible form of exercise therapy for middle-aged adults. Methods: We conducted a study based on the Seventh Korea National Health and Nutrition Examination Survey (2016-2018) data of 6,886 general middle-aged adults in South Korea to investigate the relationships of walking exercise with depressed mood and suicidal ideation. Multiple logistic regression analysis was used to adjust for confounding variables. Sampling weights were applied to obtain estimates for the general Korean population. Results: Participants who walked ≥5 days per week had a significantly lower odds ratio (OR) for depressed mood [OR = 0.625, 95% confidence interval (CI): 0.424-0.921, p = 0.018] and suicidal ideation (OR = 0.252, 95% CI: 0.125-0.507, p < 0.001) compared to those who never walked, regardless of the duration of exercise. The same results were obtained for males after stratifying the data by sex and suicidal ideation was associated with walking in females. Conclusion: Regular walking exercise was associated with diminished mental health problems in middle-aged adults. Light walks may serve as a useful starting point for patients with serious mental health issues, such as suicidal ideation.

Immediate Effects of Mobile Phone App for Depressed Mood in Young Adults with Subthreshold Depression: A Pilot Randomized Controlled Trial.

Background: Preventive interventions for subthreshold depression (StD) are essential to reduce the incidence of major depressive disorder. Our smartphone application presenting positive word stimulation in video (ie, Subliminal Priming with Supraliminal Reward Stimulation, SPSRS) was suggested to improve depressive symptoms in people with StD, although it is unclear whether it can immediately improve depressed mood. This pilot randomized controlled trial (RCT) aimed to investigate the preliminary efficacy of SPSRS application intervention on depressive mood in people with StD. Methods: Thirty-two participants with StD were randomly assigned to the experimental (n = 16) or control group (n = 16). The experimental group received SPSRS application intervention (10-minute video with positive word stimulation) and the control group received YouTube application intervention (10-minute video without positive word stimulation). Both groups used identical iPhones managed by the research team. The primary outcome was the change from baseline in depression-dejection on the Profile of Mood States 2nd Edition-Adult Short (POMS 2-A Short) after the intervention. Results: No participants dropped out of the study. The experimental group showed a small improvement in depression-dejection on the POMS 2-A Short score (adjusted Hedges's g = -0.32) compared to the control group. Post-hoc power analyses estimated a sample size of 56 per group (112 total) to evaluate depression-dejection on the POMS 2-A Short in a future full-scale RCT. Conclusion: SPSRS application intervention may be effective in immediately improving depressive mood in people with StD. A future full-scale RCT based on a formally calculated sample size should be conducted to replicate these findings.

Physical Health Problems as a Suicide Precipitant: Associations With Other Risk Factors and Suicide Methods in Three Age Groups of Older Decedents.

Background and Objectives: Physical health problems are a significant late-life suicide precipitant. This study's purpose was to examine differences in (i) other suicide precipitants and psychiatric/substance use problems, and (ii) suicide methods (firearms, hanging/suffocation, and poisoning) in 3 age groups (55-64, 65-74, and 75+) of older suicide decedents who had physical health problems as a suicide precipitant. Research Design and Methods: Data came from the 2017-2019 U.S. National Violent Death Reporting System (N = 34,912; 27,761 males [79.5%] and 7,151 females [20.5%]). Generalized linear models for a Poisson distribution with a log link were used to examine the study questions. Results: Physical health problems were a suicide precipitant for 25.8%, 41.9%, and 57.7% of the 55-64, 65-74, and 75+ age groups, respectively, and were associated with a higher likelihood of having had depressed mood (IRR = 1.38, 95% CI: 1.33-1.43) and other substance use problems (IRR = 1.22, 95% CI: 1.13-1.31). Interaction effects showed that when job/finance/housing problems, depressed mood, or any psychiatric disorders were co-present with physical health problems, the age group differences in the predicted rates of physical health problems were diminished. Physical health problems were also positively associated with firearm and poisoning use, but negatively associated with hanging/suffocation. Interaction effects indicated that the predicted rates of firearm and poisoning use significantly increased among those aged 55-64 with than without physical health problems. Discussion and Implications: In all 3 age groups of older suicide decedents, physical health problems were the predominant suicide precipitant, and those with physical health problems had elevated depressed mood. Assessment of suicide risk, affordable and accessible health, and mental health services, restriction of access to lethal suicide methods, and policy-based suicide prevention approaches for older adults with physical health problems are needed.

A multi-modal intervention for managing the fatigue-sleep disturbance-depressed mood symptom cluster in breast cancer patients undergoing chemotherapy: A pilot study.

Objective: To examine the feasibility and acceptability of a multi-modal intervention for managing the cancer-related fatigue-sleep disturbance-depressed mood (F-S-D) symptom cluster in patients with breast cancer (BC) and receiving chemotherapy in Hong Kong, and the preliminary effects of such intervention on the occurrence of the F-S-D symptom cluster in these patients. Methods: This study was a single-blind randomized controlled trial. Patients with BC scheduled for chemotherapy were recruited. Intervention participants received a weekly nurse-led multi-modal intervention lasting 7 weeks. The feasibility parameters and adverse events were assessed using logbook records. Acceptability was evaluated using a program evaluation questionnaire. F-S-D symptoms and quality of life (QOL) were measured at baseline (T0), upon intervention completion (T1), and 3 months after intervention completion (T2). Generalized estimating equation analyses were used. Results: Fifty participants were enrolled. The eligibility and enrollment rates were 11% and 87.7%, respectively. The rate of adherence to the intervention was 96%. No adverse events were reported. All participants were satisfied with the intervention, which had significant effects in terms of reducing the occurrence of the F-S-D symptom cluster at T2 (P â€‹= â€‹0.035) and improving QOL at T1 and T2 (T1: P â€‹= â€‹0.035; T2: P â€‹= â€‹0.012). Conclusions: The multi-modal intervention is a feasible, acceptable, and safe intervention that demonstrated preliminary positive effects in managing the F-S-D symptom cluster and improving QOL in patients with BC and receiving chemotherapy in Hong Kong. This study provides key insights into F-S-D symptom cluster management in patients with BC. Trial registration: ChiCTR2100047819 (Chinese Clinical Trial Register).