Non-depressed Group Research Articles

Sedentary behavior modified the association between depression and risk of all-cause deaths in hypertensive population

Objective: The pathogenic mechanism of depression involves chronic inflammation, which can be affected by sedentary behavior. This study aimed to determine whether sedentary behavior modified the association between depression and risk of death in the hypertensive population. Methods: Data from the National Health and Nutrition Examination Survey (2007–2018) was analyzed. Depression was assessed through the Health Questionnaire-9, and sedentary behavior was evaluated using self-reported sitting hours in a day. Deaths were ascertained through the National Death Index until 31 December 2019. The interaction effect was evaluated through multivariable Cox regression analysis. Results: Eight thousand one hundred and twenty-four patients with hypertension were involved in the study. During a median follow-up of 7.3 years, we confirmed 1384 all-cause and 373 cardiovascular deaths. Separate analyses revealed that both depression and sitting for 6 h per day or more were correlated with increased risks of all-cause and cardiovascular deaths. Of note, we found that sitting time modified the link between depression and the risk of all-cause death (P for interaction: 0.02). Compared with the nondepression group, the depression group was correlated with an elevated risk of all-cause death among participants with sitting time of more than 6 h/day [hazard ratio 1.52, 95% confidence interval (CI) 1.22–1.91, P < 0.001], but not among participants with sitting time of less than 6 h/day (hazard ratio 0.95, 95% CI 0.65–1.39, P = 0.76). Conclusion: Sedentary behavior modified the link between depression and the risk of all-cause death. Reducing sedentary time might attenuate the detrimental effects of depression on survival in the hypertensive population.

Suboptimal health among Chinese middle school students may be associated with psychological symptoms and sleep duration: a cross-sectional survey in China

BackgroundSuboptimal health status (SHS) is an intermediate status between ideal heath and illness, it is characterized by the perception of health complaints, general weakness, decreased immunity and low energy. An increasing number of Chinese middle school students are suffering from psychological symptoms (PS), particularly anxiety and depression. The relationship between SHS and PS is unclear in adolescents. This study aimed to investigate the prevalence of SHS and the correlation between SHS and PS among Chinese middle school students and to identify the SHS-related risk factors from the perspective of public health.MethodsA cross-sectional study was conducted with the cluster sampling method among 1955 middle school students in Shantou, China. SHS was assessed by Suboptimal Health Status Questionnaire-25 (SHSQ-25). And the PS of anxiety and depression were assessed with Generalized Anxiety Disorder Scale (GAD-7) and Beck Depression Inventory-II Scale (BDI-II) self-assessment questionnaires. Variate logistic analysis was applied to explore risk factors of SHS. The relationship between SHS and PS among Chinese middle school students was subsequently analyzed.ResultsAmong the 1955 participants, 1904 middle school students were finally included in the analysis, the effective response rate was 97.39%. The prevalence of SHS was 10.3% (197/1904) while the prevalence of anxiety and depression was 30.7% (585/1904) and 34.1% (649/1904), respectively. A strong correlation was identified between SHS and PS among middle school students. With the aggravation of anxiety and depression, the probability of suffering from SHS increased (both P<0.01). The scores for various dimensions of SHS among the depression and anxiety groups were higher compared to those of the non-depression and non-anxiety groups (all P<0.01 ). Multivariate regression showed that compared with sleeping less than six hours, 6–8 h is a protective factor for SHS (OR = 0.486, 95%CI = 0.278–0.851).ConclusionsAttention should be given to SHS and PS in Chinese middle school students, as they are strongly associated. Lack of sleep is a risk factor for SHS, so sufficient sleep should be recommended to prevent it. Identifying additional risk factors and promoting adequate sleep will improve adolescent health.

Liquid Biopsy-Based Detection and Response Prediction for Depression.

Proactively predicting antidepressant treatment response before medication failures is crucial, as it reduces unsuccessful attempts and facilitates the development of personalized therapeutic strategies, ultimately enhancing treatment efficacy. The current decision-making process, which heavily depends on subjective indicators, underscores the need for an objective, indicator-based approach. This study developed a method for detecting depression and predicting treatment response through deep learning-based spectroscopic analysis of extracellular vesicles (EVs) from plasma. EVs were isolated from the plasma of both nondepressed and depressed groups, followed by Raman signal acquisition, which was used for AI algorithm development. The algorithm successfully distinguished depression patients from healthy individuals and those with panic disorder, achieving an AUC accuracy of 0.95. This demonstrates the model's capability to selectively diagnose depression within a nondepressed group, including those with other mental health disorders. Furthermore, the algorithm identified depression-diagnosed patients likely to respond to antidepressants, classifying responders and nonresponders with an AUC accuracy of 0.91. To establish a diagnostic foundation, the algorithm applied explainable AI (XAI), enabling personalized medicine for companion diagnostics and highlighting its potential for the development of liquid biopsy-based mental disorder diagnosis.

Depression, health-related quality of life and life satisfaction in patients with heart failure

Background: The Patient Health Questionnaire 9 (PHQ9) has been recognized as an effective tool for identification of patients with heart failure (HF) at risk for lower health-related quality of life (HRQoL). We aimed to compare HRQoL levels, overall satisfaction with health and life, disease severity variables, sociodemographic variables and behavioural risk factors between patients with HF with different levels of depressive symptomatology. Methods: In a &gt;55 years-old general population cross-sectional HF prevalence study, 1851 subjects were screened and those with NTproBNP ≥125 pg/mL (n=930) underwent detailed diagnostic visit to confirm or rule out HF as per 2016 European Society of Cardiology guidelines. HRQoL (the ShortForm 12 Health Survey, SF12; EQ5D3L), depressive symptoms (Patient Health Questionnaire, PHQ9) and satisfaction with life (Satisfaction With Life Scale, SWLS) were also assessed. Patient with HF (75±8 years, 54 % male, New York Heart Association (NYHA) functional class IIII, with mean left ventricular ejection fraction (LVEF) 56±13) were divided into three groups based on the severity of depressive symptomatology as per PHQ9 score (none: score 04, mild: score 59, and moderate-to-severe: score 1027). Multiple group comparisons and pairwise post hoc analyses were performed. Results: Results indicated significant between group differences in NYHA status (p&lt;0.001), number of comorbidities (p=0.006), functional capacity (p=0.01), as well as HRQoL variables (p=0.05 to 0.001) and SWLS score (p&lt;0.05), with nondepressed group generally showing better physical and subjective indicators of health and wellbeing compared with the mild and moderate-to-severe group. Conclusions: Results indicate that even patients with HF with clinically non-significant levels of depressive symptomatology show significantly impaired psychosocial status (diminished HRQoL, lower life satisfaction).

Construction of a nomogram risk prediction model for depressive symptoms in elderly breast cancer patients

The primary objective of this study was to identify the factors associated with the development of depressive symptoms in elderly breast cancer (BC) patients and to construct a nomogram model for predicting these symptoms. We recruited 409 patients undergoing BC treatment in the breast departments of two tertiary-level hospitals in Jiangsu Province from November 2023 to April 2024 as our study cohort. Participants were categorized into depressed and non-depressed groups based on their clinical outcomes. Univariate and multivariate logistic regression analyses were employed to identify independent risk factors for depression among BC patients. Multivariate analysis revealed that monthly income, pain score, family support score, and physical activity score significantly influenced the onset of depression in older BC patients (P < 0.05).The risk prediction model, constructed using these identified factors, demonstrated excellent discriminatory power, as evidenced by an area under the ROC curve (AUC) of 0.824. The maximum Youden index was 0.627, with a sensitivity of 90.60%, specificity of 72.10%, and a diagnostic threshold value of 1.501. The results of the Hosmer-Lemeshow goodness-of-fit test (χ² = 3.181, P = 0.923) indicated that the model fit the data well. The calibration curve for the model closely followed the ideal curve, suggesting a strong fit and high predictive accuracy. Our nomogram model exhibited superior predictive performance, enabling healthcare professionals to identify high-risk patients early and implement preventative measures to mitigate the development of depressive symptoms. This study is a cross-sectional study that lacks longitudinal data and has a small sample size. Future research could involve larger samples, multicenter studies, and prospective designs to build better clinical predictive models.

The Impact of the Triglyceride-Glucose Index on the Development of Depression in Patients with Coronary Atherosclerotic Heart Disease.

Depression is common among patients with coronary atherosclerotic heart disease and is a prevalent mental health issue, particularly among those with cardiovascular diseases. Depression is commonly associated with elevated blood glucose and lipid levels. The triglyceride-glucose index is a novel indicator reflecting insulin resistance, which has been proven in numerous studies to be associated with cardiovascular diseases. Study on the impact of the triglyceride-glucose index (TyG index) on the development of depression in patients with coronary atherosclerotic heart disease (CHD). Using the Patient Health Questionnaire-9 (PHQ-9), 197 CHD patients were classified into a non-depressed group (n = 44, PHQ-9 < 5) and a depressed group (n = 153, PHQ-9 ≥ 5). Fasting blood glucose (GLU), HDL, total cholesterol (TC), LDL, triglycerides (TG), and TyG index were compared between groups. Depression risk factors were identified via logistic regression, and the predictive value of TyG index was evaluated using ROC analysis. In depressed patients, TyG index, TG, TC, LDL, and GLU were significantly higher, while HDL was lower than in the non-depressed group (p < 0.05). Logistic regression identified TyG index, LDL, GLU, TG, TC, HDL, female sex, smoking, alcohol consumption, and older age as independent risk factors for depression in CHD patients (p < 0.05). ROC analysis showed the TyG index had an AUC of 0.76 (95% CI 0.687-0.829, p < 0.001) for predicting depression, with a cutoff of 1.613, sensitivity of 45.1%, and specificity of 97.7%. Endpoint events were more frequent in the depression group (χ² = 8.015, p = 0.005). The TyG index is an independent risk factor for depression in patients with CHD, indicating a significant predictive value. Depressed patients have a higher rate of readmission, and managing depression effectively contributes to better prognosis.

Investigation of risk factors associated with the development of depressive symptoms in healthy subjects exposed to long-term stress: A prospective study of the Japanese Antarctic research expedition wintering party.

Stressors induce depression together with parenting experienced in childhood, personality traits, and sleep. In this study, we investigated factors associated with the development of depression in a long-term stressful environment, namely, the Antarctic Research Expedition wintering party, by comparing 2 groups, the depression and nondepression groups. A self-administered questionnaire was used to survey 91 members of the Japanese Antarctic Research Expedition who spent winters in the Antarctic base. Psychological evaluations of depression, anxiety, and sleep were performed using a questionnaire every 3 months during the participants' stay in Antarctica. The primary endpoint was the occurrence of minor or major depression, as evaluated by the PHQ-9 score. Participants with a PHQ-9 score of 5 or more during their stay in Antarctica were defined as the depression group (25 subjects), and participants with a PHQ score of 4 or less were defined as the nondepression group (43 subjects). Compared with the nondepression group, the depression group had significantly higher scores for predeparture PHQ-9, state and trait anxiety, sleep disturbance, and neuroticism. Multivariable logistic regression analyses showed that higher predeparture scores of subthreshold depressive symptoms and neuroticism were found to be significant predictors of the occurrence of depression during their stay in Antarctica. This study prospectively showed that subthreshold depressive symptoms and neuroticism, which were suggested as risk factors in previous studies, were confirmed to be risk factors for depression. The results of our study are expected to contribute to the understanding of depression in harsh environments.

Internet-Based Social Connections of Black American College Students in Pre-COVID-19 and Peri-COVID-19 Pandemic Periods: Network Analysis.

A global-scale pandemic, such as the COVID-19 pandemic, greatly impacted communities of color. Moreover, physical distancing recommendations during the height of the COVID-19 pandemic negatively affected people's sense of social connection, especially among young individuals. More research is needed on the use of social media and communication about depression, with a specific focus on young Black Americans. This paper aims to examine whether there are any differences in social-networking characteristics before and during the pandemic periods (ie, pre-COVID-19 pandemic vs peri-COVID-19 pandemic) among the students of historically black colleges and universities (HBCUs). For the study, the researchers focus on the students who have posted a depression-related tweet or have retweeted such posts on their timeline and also those who have not made such tweets. This is done to understand the collective patterns of both groups. This paper analyzed the social networks on Twitter (currently known as X; X Corp) of HBCU students through comparing pre-COVID-19 and peri-COVID-19 pandemic data. The researchers quantified the structural properties, such as reciprocity, homophily, and communities, to test the differences in internet-based socializing patterns between the depression-related and non-depression related groups for the 2 periods. During the COVID-19 pandemic period, the group with depression-related tweets saw an increase in internet-based friendships, with the average number of friends rising from 1194 (SD 528.14) to 1371 (SD 824.61; P<.001). Their mutual relationships strengthened (reciprocity: 0.78-0.8; P=.01), and they showed higher assortativity with other depression-related group members (0.6-0.7; P<.001). In a network with only HBCU students, internet-based and physical affiliation memberships aligned closely during the peri-COVID-19 pandemic period, with membership entropy decreasing from 1.0 to 0.5. While users without depression-related tweets engaged more on the internet with other users who shared physical affiliations, those who posted depression-related tweets maintained consistent entropy levels (modularity: 0.75-0.76). Compared with randomized networks before and during the COVID-19 pandemic (P<.001), the users also exhibited high homophily with other members who posted depression-related tweets. The findings of this study provided insight into the social media activities of HBCU students' social networks and communication about depression on social media. Future social media interventions focused on the mental health of Black college students may focus on providing resources to students who communicate about depression. Efforts aimed at providing relevant resources and information to internet-based communities that share institutional affiliation may enhance access to social support, particularly for those who may not proactively seek assistance. This approach may contribute to increased social support for individuals within these communities, especially those with a limited social capacity.

Heart rate variability and insomnia in depressed patients with breast cancer

ObjectivesDepression is associated with unhealthy autonomic regulation. However, whether patients with breast cancer (BC) with different degrees of depression can be identified from linear and non-linear dynamics in the autonomic...

Age and gender differences in the association between depression and body mass index among Saudi adults

BackgroundBoth obesity and depression pose significant public health challenges. Understanding the age-gender differences in the BMI-depression associations is crucial, especially in the Saudi context, where cultural norms, lifestyle factors, and socio-economic conditions may significantly influence these associations. We aimed to explore and elucidate these associations in Saudi adults, considering age and gender as crucial factors.MethodsThe research utilized a cross-sectional web-based survey to examine the impact of age and gender on the associations between BMI and depression. The study included 4,683 Saudi adults aged 18–60 years. The questionnaire assessed socio-demographics, lifestyle factors, chronic illnesses, and self-reported height and weight to calculate BMI. Depression Inventory-II (BDI-II), a self-reported scale, was used to evaluate depression, categorizing participants into depression and non-depression groups. A snowball convenience sampling was utilized, with clear inclusion and exclusion criteria established to mitigate potential biases. Data analysis was stratified by age and gender, and binary logistic regression was utilized to determine the associations between depression and BMI, incorporating odds ratios (ORs) in both crude and adjusted forms, along with 95% confidence intervals (CIs).ResultsThe prevalence of depression was found to be 43.3%, while 21% of participants were classified as obese. Notably, individuals in the depression group were significantly older, predominantly female, and more likely to reside in the Western and Southern regions of Saudi Arabia. They had lower family income, were more frequently non-smokers, had a higher prevalence of chronic diseases, and had higher BMI. Moreover, obese individuals had significantly higher depression scores (p < 0.05). After adjusting for confounding factors, OR for depression was significantly higher among obese individuals (1.92 [1.56–3.36]). Stratified analysis by age and gender revealed higher ORs for depression among obese participants in older age and among women.ConclusionThis study highlights a significant association between obesity and increased prevalence of depression, with notable age and gender differences in this association. The findings suggest that older adults and women, particularly those with obesity, are at a higher risk for depression. These insights emphasize the importance of tailoring public health strategies and mental health interventions to address the specific needs of these vulnerable groups in Saudi Arabia.

Cognitive function characteristics and influencing factors in patients with depressive disorders: a 5-year follow-up report based on the epidemiological survey of mental disorders in Shandong Province, China.

Cognitive impairment represents a notable feature of depressive disorders. Comprehending its characteristics and influencing factors is vital for patient rehabilitation. This study is based on the 2015 Shandong Province epidemiological survey of mental disorders, from which 871 individuals meeting DSM-IV criteria for depressive disorders were selected as the research group. Using 1:1:1 matching by sex, age, and residence, we randomly selected 825 individuals with no DSM-IV diagnosis but positive on GHQ-12 and additional risk assessments as the elevated risk control group, and 825 with negative screenings as the minimal risk control group. In 2020, a follow-up survey was conducted, resulting in a final analysis of 1,855 cases. The survey included demographic data, various clinical information, and a series of screening and questionnaire assessments. The current depressive group scored lower on the MoCA than the non-depressive group (t=8.86, P<0.01). The research group scored lower on the MoCA than the elevated and minimal risk group (F=11.98, P<0.01). The depression-unremitted group scored lower than the depression-remitted group (t=6.44, P<0.01). The Analysis indicated that males, with better life quality, poor early psychological status and, and longer education were associated with higher MoCA scores. Conversely, older age, rural residency, employment, current depression, and poor marital were associated with lower MoCA scores. Individuals with depression commonly suffer cognitive impairment, which tends to partially improve as depression remits. Individual cognitive function is influenced by early psychological health, depressive status, quality of life, age, sex, educational level, residence, occupational, and marital status.

Research of related factors of depression in COPD patients.

We aimed to investigate the related risk factors of depression in patients with chronic obstructive pulmonary disease (COPD) to detect depressed patients early and perform timely intervention to improve the disease prognosis of chronic obstructive pulmonary disease. This cross-sectional study included COPD patients who were discharged from the First People's Hospital of Hefei, China from October 2018 to October 2019, and all participants were diagnosed with COPD according to the Global Initiative for Chronic Obstructive Pulmonary Disease. There was no COPD exacerbation during follow-up 1 month after discharge. Psycho-cognitive disorders, psychiatric disorders or other conditions causing psychiatric symptoms were excluded. We divided stable patients with chronic obstructive pulmonary disease into depression group (HAM-D 24 ≥ 8) and non-depression group (<8), and compared the sociodemographic data, clinical characteristics and serum inflammatory parameters between the 2 groups. In this cross-sectional study, 100 eligible COPD patients were initially recruited, 64 of whom completed all the programs. Univariate logistic regression analysis, female, chronic obstructive pulmonary disease assessment test (CAT) score, serum interferon alpha-a (IFN-α) level, and low smoking index were associated with depression in patients with chronic obstructive pulmonary disease. Multivariate logistic regression analysis showed that high serum IFN-α level (OR = 1.099, 95% CI: 1.010-1.196; P = .028), high CAT score (OR = 1.250, 95% CI: 1.052-1.484; P = .011) and low smoking index (OR = 10.154, 95% CI: 1.886-54.664; P = .007) were significant risk factors for depression in patients with chronic obstructive pulmonary disease. Our findings suggest that high serum IFN-α levels, and high CAT scores are risk factors for comorbid depression in COPD patients. Continuous high-dose smoking may aggravate the primary disease and ultimately aggravate depression.

The value of anxiety and depression in predicting physical function and major adverse cardiovascular events in patients with acute coronary syndrome.

Psychological distress, including anxiety and depression, is not only prevalent in patients with coronary heart disease (CHD) but can actually predict adverse clinical events. Therefore, the necessity of addressing psychological problems among patients with CHD to improve their treatment results is increasingly acknowledged. This study's objective was to examine the prognostic impact of anxiety and depression on major adverse cardiovascular events (MACEs) and physical function among patients with acute coronary syndrome (ACS). A total of 978 patients admitted to our hospital from September 2021 to September 2022 and diagnosed with severe vascular lesions using coronary angiography were enrolled. According to their scores on the Hospital Anxiety and Depression Scale (HADS) and the Center for Epidemiologic Studies Depression Scale at admission, they were divided into two groups and four subgroups: an anxiety group, a non-anxiety group, a depression group, and a non-depression group. The participants' baseline information, clinical characteristics, coronary angiography findings, MACEs, and changes in physical functionality were compared. There were statistically significant differences between the anxiety and depression groups in marital status, education level, history of diabetes, clinical diagnosis, cardiac troponin T (cTnI), B-type natriuretic peptide (BNP), coronary angiography, and synergy between percutaneous coronary intervention with taxus and cardiac surgery (SYNTAX) score. Logistic regression analysis showed that gender, education level, diabetes history, cTnI, and SYNTAX score were risk factors for anxiety, while education level, diabetes, and SYNTAX score were risk factors for depression. A Kaplan-Meier survival curve model was used to analyze survival rates in the anxiety and depression groups. Hierarchical regression analyses of anxiety and depression at baseline predicted significant declines in physical functionality. Social support improved physical functionality and reduced the impact of psychological distress. Psychological state had the greatest long-term prognostic value in patients with CHD.

The lifestyle and nutritional factors for dry eye disease in depression population: a retrospective case-control study.

We aim to evaluate lifestyle and nutritional factors that lead to dry eye disease (DED) in a depressed population using data from the Taiwan BioBank (TWB). A retrospective case-control study was conducted, and patients with depression based on a questionnaire were selected as the depression group. Each patient in the depression group was matched by age and sex to two individuals without depression, and a total of 3,754 and 7,508 patients constituted the depression and non-depression groups, respectively. Based on the questionnaire, the primary outcome was the presence of DED. Additionally, the chi-square test and interaction test were applied to survey the effect of lifestyle and nutritional factors on DED in the depression and non-depression groups. There were 822 (21.90%) and 958 (12.76%) DED patients in the depression and non-depression groups, respectively, and the incidence of DED was significantly higher in the depression group (p < 0.001). In terms of lifestyle and nutritional factors in the depression population, a higher rate of chronic pain and a sedentary lifestyle were observed than in the patients with depression without DED (both p < 0.05). According to the interaction test, the chronic pain (p = 0.0227) and sedentary lifestyle (p = 0.0002) were significant risk factors for DED presence in the depression group than in the non-depression group, while the persistent coffee consumption (p = 0.0005) and tea consumption (p = 0.0003) were significant protective factors for the DED exclusively for the depression group and not for the non-depression group. The depression population could be significantly benefited from physical activity, coffee intake and tea intake regarding DED development compared to the general population.

Types of depression in patients with coronary heart disease: Results from the THORESCI study

BackgroundBoth coronary heart diseases (CHD) and depression are highly prevalent and bidirectionally related. The precise nature of this relationship remains unclear. Defining depressive subtypes could help unravel this relationship. Therefore, the aim of this study was to explore depressive subtypes in patients with CHD. Methods1530 patients (21.3 % women, mean age: 64.7 years (SD = 10.1)) were included in latent class analysis with nine indicators derived from the PHQ-9 and BDI-II representing symptoms of depression as described in the DSM-5 criteria. The best-fitting latent class model was confirmed with double cross-validation. Classes were characterized using demographic, medical, psychiatric, and cardiovascular (risk) factors. ResultsA 3-class model demonstrated the best fit to the data, resulting in a depressed (5.4 %), fatigued (13.5 %), and non-depressed class (81.1 %). Having medical comorbidities, a history of psychiatric problems, negative affectivity, and anxiety symptoms increased the odds of belonging to the depressed group (OR 3.02, 95%CI 1.19–7.68, OR 3.61, 95%CI 1.44–9.02, OR 1.16, 95%CI 1.04–1.30, and OR 1.89, 95%CI 1.66–2.15, respectively). Belonging to the fatigued group was associated with increased odds of having an elective PCI (OR 2.12, 95%CI 1.27–3.55), insufficient physical activity (OR 2.19, 95%CI 1.20–3.99), comorbid medical conditions (OR 2.15, 95%CI 1.21–3.81), a history of psychiatric problems (OR 2.25, 95%CI 1.25–4.05), and anxiety symptoms (OR 1.48, 95%CI 1.34–1.63) compared with the non-depressed group. LimitationsFuture studies should include more people with depressive symptoms. ConclusionsPatients with CHD and medical or psychiatric risk factors should be offered support to decrease or prevent depressive or fatigue symptoms.

The impact of depression on platelet activation, cardiocerebral vascular events and arteriovenous fistula dysfunction in patients undergoing haemodialysis

Depression is a common psychiatric disorder among patients undergoing maintenance haemodialysis (MHD). Depression may reportedly contribute to poor prognosis in several ways, including its effects on platelet function. We hypothesised that depression contributes to the occurrence of cardiocerebral vascular events (CCVE) and dysfunction of arteriovenous fistula (DAVF) in patients undergoing MHD through its effects on platelets. In this prospective cohort study, patients undergoing MHD were recruited and divided into depression and non-depression groups according to their Hamilton Depression Scale (HAMD) scores. The 286 enrolled patients had 103 occurrences of depressive symptoms (prevalence = 36.01%). Compared with the non-depression group, depression group had a significantly higher cumulative prevalence of CCVE and DAVF during follow-up. Cox regression analysis indicated that higher HAMD scores and lower plasma platelet distribution width (PDW) were common risk factors for CCVE and DAVF. Furthermore, HAMD scores were significantly negatively correlated with plasma PDW and was the main variable affecting changes in PDW, as indicated by multiple linear regression analysis. Depression may increase the risk of CCVE and DAVF in patients undergoing MHD by activating platelets. Plasma PDW may be a convenient indicator of platelet activation status and may predict the risk of CCVE and DAVF.

Intensity-dependence of auditory-evoked potentials might present an early surrogate marker for post-stroke depression

ObjectivePost-stroke depression (PSD) is a common stroke complication, associated with severe physical and cognitive impairment. Low central serotonergic tone, associated with depression, inversely correlates with the intensity-dependence of auditory-evoked potentials (IDAP). Aim of this study was to investigate IDAP’s usability as early surrogate marker for PSD development by assessing the correlation between IDAP early after stroke and the occurrence of PSD from 4 weeks after stroke. MethodsWe assessed auditory-evoked potentials (AEP) and depressive symptoms using the Montgomery-Åsberg Depression Rating Scale (MADRS) at day 1 – 3 and > 30 after stroke onset. IDAP was calculated as the linear slope of the N1-P2 amplitude/stimulus intensity function (ASF). Results37 patients completed the study. We diagnosed 7 patients with PSD, defined as MADRS-score≥ 7 at follow-up. The PSD group showed significantly steeper ASF slopes at admission compared with the non-depressed group (p = 0.007). We also found a positive correlation between ASF slopes on first and MADRS-scores on last measurement point for all stroke patients as a group (p = 0.007). ConclusionsThe study findings support the hypothesis that IDAP can predict the development of depressive symptoms following stroke and may therefore serve as an early surrogate marker for PSD. SignificanceThis is the first longitudinal study to assess the relationship between IDAP and PSD.

Systemic immune inflammation index is a valuable marker for predicting hemodialysis patients with depression: a cross-sectional study.

Maintenance hemodialysis (MHD) patients suffer from enormous physical, mental stress and poor quality of life, so an increasing number of patients are in a long-term state of depression. A prominent feature of MHD patients is chronic persistent inflammation, which is also an important mechanism for the onset of depression. Therefore, finding economically convenient inflammatory markers to predict and diagnose the onset of depression in MHD patients is of great value. As a novel inflammatory marker, systemic immune inflammation index (SII) can more comprehensively reflect the inflammation and immunity level of patients. This study aims to explore the relationship between SII and depressive symptoms in MHD patients. A cross-sectional study was conducted on 206 MHD patients from three dialysis centers. Based on the Hospital Anxiety and Depression Scale (HADS) scores, patients were divided into non-depression and depression groups. Inter group comparison and multivariate logistic regression analysis were performed to determine whether SII is an independent risk factor for depression in MHD patients. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of SII on depression symptoms in MHD patients. According to the HADS scale score, 38.83% of the included patients were in a state of depression. After adjusting for all confounding factors, MHD patients with SII>963.93 had a 4.709 times higher risk of depression than those with SII ≤ 478.32 (OR=4.709, 95% CI 1.821-12.178, P<0.01). ROC analysis showed that SII>685.11 was the best cutoff value for MHD depression patients, and the area under the curve (AUC) was 0.681. High SII is an independent risk factor for depressed MHD patients and an ideal inflammatory marker for predicting and identifying depression in MHD patients as assessed by the HADS scale.

Maternal Fiber Intake and Perinatal Depression and Anxiety.

(1) Background: Dietary fiber can significantly alter gut microbiota composition. The role of the gut microbiome in the Gut-Brain Axis and modulation of neuropsychiatric disease is increasingly recognized. The role of antenatal diet, particularly fiber intake, in mitigating maternal mental health disorders remains unexplored. The objective of this review is to investigate the association between maternal fiber intake and perinatal depression and anxiety (PDA). (2) Methods: A literature review of PubMed and Google Scholar was conducted using appropriate keyword/MeSH terms for pregnancy, diet, fiber, and mental health. Observational and clinical trials published between 2015 and 2021 were included and data pertaining to dietary patterns (DP), food intake, mental health, and demographic data were extracted. The top three fiber-containing food groups (FG) per study were identified using a sum rank scoring system of fiber per 100 g and fiber per serving size. The consumption of these top three fiber FGs was then ranked for each dietary pattern/group. Mental health outcomes for each study were simplified into three categories of improved, no change, and worsened. The relationship between top three fiber FGs consumed within each DP and mental health outcomes was analyzed using Spearman's correlation. (3) Results: Thirteen of fifty-two studies met the inclusion criteria. Ten (76.9%) studies assessed DPs (seven examined depression only, two examined depression and anxiety, and one examined anxiety only). Seven (53.9%) studies reported at least one significant positive relationship between mental health outcomes and DPs while three reported at least one negative outcome. Three (23.1%) studies compared intake of different food groups between depressed and non-depressed groups. In studies of DPs, the average consumption ranking of the top three fiber FGs bore a significant inverse association with mental health outcomes [r = -0.419 (95%CI: -0.672--0.078)] p = 0.015. In studies comparing the intake of different FGs between depressed and non-depressed groups, the consumption of top-ranking fiber foods was higher in the non-depressed groups, but significantly higher in four of the ten high fiber FGs. (4) Conclusions: This study reframes findings from previously published studies of maternal diet and mental health outcomes to focus on fiber intake specifically, using a fiber ranking system. A significant correlation between lower intake of fiber and poorer mental health outcomes warrants further investigation in future studies.

Association of Depression and Cognitive Performance in US Older Adults: A Secondary Analysis of Cross-Sectional Data Using NHANES 2013–2014

Introduction: Depression has been associated with cognitive performance, but whether sociodemographic and clinical characteristics might influence this association is not well elaborated. This study aimed to further explore this relationship in older adults. Methods: This cross-sectional study is based on data from the National Health and Nutrition Examination Survey (NHANES) 2013–2014. A total of 1,433 individuals with complete information on depressive symptoms and cognitive function variables were included in this study. Patient Health Questionnaire 9 (PHQ-9) score ≥10 as the cutoff to identify cases of depression in our study. We defined poor cognitive performance as a composite cognitive score <47. Logistic regression models were used to examine the association of depression with cognitive performance (model 1). We progressively adjusted the covariates as confounders (model 2: model 1 + age, and gender; model 3: model 2 + race, education level, family income, drinking, and smoking; model 4: model 3 + overweight, arthritis, hyperlipidemia, diabetes, hypertension, heart failure, coronary heart disease, heart attack, stroke, and cancer). We then conducted subgroup, interaction, and restricted cubic spline (RCS) analyses to examine this association. Results: The prevalence of poor cognitive performance was 36.6% (53/145) in the depression group and 14.1% (182/1,288) in the non-depression group. In the fully adjusted model, depression was significantly associated with poor cognitive performance (adjusted odds ratio: 2.25; 95% confidence interval: 1.31–3.81). The results were robust to sensitivity analyses. Gender and education level may modify the association between depression and poor cognitive performance. RCS analysis revealed that the PHQ-9 score was related to poor cognitive performance in a nonlinear manner (p for nonlinearity <0.001), and exhibited a J-shaped curve. Conclusion: Depression is associated with poor cognitive performance in US older adults. Early recognition and treatment of depression may be potential intervention strategies to protect cognitive health.