A Chinese adaptation of six items, self-report Hamilton Depression Scale: Factor structure and psychometric properties

Is the regulation of lamotrigine on depression in patients with epilepsy related to cytokines?

Objectives

The purpose of this study was to analyze the effects of lamotrigine on peripheral blood cytokines and depression in patients with epilepsy and to explore the possible mechanism by which lamotrigine regulates depression in patients with epilepsy.

Methods

50 healthy people, 72 patients treated with lamotrigine (LTG group) and 72 patients treated with valproate were enrolled (VPA group). Cytokine levels in the peripheral blood of the subjects were measured and their level of depression was scored according to the self-rating Depression Scale (SDS), Hamilton Depression Scale (HAMD) and Chinese version of Epilepsy Depression Scale (c-NDDI-E). The cytokine levels and depression scale scores were compared between the three groups. The correlation between cytokine levels and depression scale scores was analyzed.

Results

The levels of IL-1β, IL-2, IL-6, and TNF-α and the SDS, HAMD, and c-NDDI-E scores in healthy group was lower than that in epileptic group. After 6 months of treatment, the difference valule of IL-1β、IL-6、TNF-α、SDS and HAMD before and after treatment in LTG group significantly higher than that in VPA group. Correlation analysis showed that the SDS scores were correlated with the levels of IL-1β and TNF-α, and the HAMD scores were correlated with the levels of TNF-α. Multiple linear regression analysis showed that the HAMD scores were correlated with the levels of TNF-α.

Conclusion

Lamotrigine can inhibit peripheral blood inflammation and improve depression in epileptic patients. Lamotrigine improved depressive mood in epileptic patients, which may be related to reduced TNF-α levels.

Association between mild depressive states in polycystic ovary syndrome and an unhealthy lifestyle

Objective

Polycystic Ovary Syndrome (PCOS) is a prevalent and frequently encountered gynecological disorder. Its high variability and the complexities associated with its management often lead to psychological stress in affected women, manifesting in symptoms of depression. Embracing a healthy lifestyle is fundamental in PCOS treatment. Consistent adherence to a healthy lifestyle not only aids in improving PCOS symptoms but also plays a role in enhancing mental well-being. However, there is currently limited research examining the extent of depression, its prevalence, and its correlation with lifestyle among individuals with PCOS. Therefore, this study aims to explore the impact of lifestyle factors on the depressive state of individuals with PCOS.

Methods

This cross-sectional study gathered data from 411 individuals with PCOS at a comprehensive hospital in Henan, China. Depression status was assessed using the Hamilton Depression Scale, and demographic information as well as lifestyle habits were simultaneously collected. Univariate and multivariate analyses using logistic regression were conducted to identify risk factors associated with the depressive state in PCOS.

Results

Among the surveyed 411 individuals with PCOS, approximately 49.4% exhibited symptoms of depression, with 83.7% experiencing mild depressive symptoms. A disease duration of 1-3 years, the presence of acne, and unhealthy lifestyle factors such as high-fat diet, staying up late, lack of exercise, and mental stress emerged as significant risk factors for the onset of depressive symptoms.

Conclusion

Depressive symptoms in individuals with PCOS are predominantly mild. The risk of comorbid depression in PCOS is associated with the presence of acne, frequent high-fat diet, regular staying up late, lack of exercise, and mental stress.

Using functional near-infrared spectroscopy to study effects of virtual reality intervention for adolescents with depression in a clinical setting in China: study protocol for a prospective, randomised, controlled trial

INTRODUCTION

Adolescent depression has been shown to be associated with many devastating psychosocial outcomes. However, there are many barriers that may prevent depressed individuals from receiving specialised treatment. Virtual reality (VR) technology has shown promise as one avenue for overcoming these challenges. This study first aims to evaluate the effectiveness of VR intervention on adolescent depression symptoms, and second, to determine the intervention's underlying mechanism of effect using functional near-infrared spectroscopy (fNIRS).

METHODS AND ANALYSIS

This is a single-centre, prospective, randomised controlled clinical trial. Sixty-six eligible adolescents aged 12-18 years with a diagnosis of depression will be randomised in a 1:1 ratio to either the VR treatment group or the conventional treatment group. All patients for both groups will receive usual treatment during a 4-week intervention period. In addition, patients randomised to VR treatment group (n=33) will complete three 20 min VR sessions including attention, executive function and relaxation training per week. Moreover, 33 healthy adolescents will be recruited as the general population. Primary outcome (ie, depressive symptoms) and secondary outcomes (ie, anxiety symptoms, executive function, treatment emergent symptoms, haemoglobin changes measured by fNIRS) will be collected at preintervention, immediately postintervention and at 4 weeks follow-up. The data assessor and analyst will be blinded to group membership.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the Ethics Committee of Lishui Second People's Hospital. Written informed consent will be obtained for all participants. Results will be disseminated through peer-reviewed journals, national or international conference presentations, media outlets, the internet and various community activities.

TRIAL REGISTRATION NUMBER

ChiCTR2300067747.

Effect of group-based acceptance and commitment therapy on older stroke survivors: study protocol for a randomized controlled trial

INTRODUCTION

Older stroke survivors usually experience various psychology disorders, such as post-stroke depression (PSD), which may be associated with high experiential avoidance (EA) and can seriously affect their quality of life. To date, the efficacy of group-based acceptance and commitment therapy (ACT) for older stroke survivors has not been established. The aim of this study is to investigate the effectiveness of group-based ACT on EA, PSD, psychological distress, and quality of life in older stroke survivors after group-based ACT.

METHODS AND ANALYSIS

This study is a randomized, single-blind, wait-list controlled, parallel-arm trial. A total of 66 stroke survivors will be randomly assigned to wait-list control group or intervention group. Participants in wait-list control group will receive treatment as usual (TAU), while the intervention group will receive group-based ACT once a week for eight weeks. The primary outcome measure being EA, and the secondary outcome measures being PSD, psychological distress, and quality of life. Results of the two groups will be blindly assessed by professional evaluators at baseline (T0), post-treatment (T1), and one-month follow up (T2).

DISCUSSION

The results of this study will provide the first evidence for the effectiveness of a group-based ACT intervention in reducing EA, PSD, psychological stress, and improving quality of life for post-stroke survivors.

TRIAL REGISTRATION

ChiCTR2200066361.

Computer assisted identification of stress, anxiety, depression (SAD) in students: A state-of-the-art review

Stress, depression, and anxiety are a person's physiological states that emerge from various body features such as speech, body language, eye contact, facial expression, etc. Physiological emotion is a part of human life and is associated with psychological activities. Sad emotion is relatable to negative thoughts and recognized in three stages containing stress, anxiety, and depression. These stages of Physiological emotion show various common and distinguished symptoms. The present study explores stress, depression, and anxiety symptoms in student life. The study reviews the psychological features generated through various body parts to identify psychological activities. Environmental factors, including a daily routine, greatly trigger psychological activities. The psychological disorder may affect mental and physical health adversely. The correct recognition of such disorder is expensive and time-consuming as it requires accurate datasets of symptoms. In the present study, an attempt has been made to investigate the effectiveness of computerized automated techniques that include machine learning algorithms for identifying stress, anxiety, and depression mental disorder. The proposed paper reviews the machine learning-based algorithms applied over datasets containing questionnaires, audio, video, etc., to recognize sad details. During the review process, the proposed study found that artificial intelligence and machine learning techniques are well recommended and widely utilized in most of the existing literature for measuring psychological disorders. The various machine learning-based algorithms are applied over datasets containing questionnaires, audio, video, etc., to recognize sad details. There has been continuous monitoring for the body symptoms established in the various existing literature to identify psychological states. The present review reveals the study of excellence and competence of machine learning techniques in detecting psychological disorders' stress, depression, and anxiety parameters. This paper shows a systematic review of some existing computer vision-based models with their merits and demerits.

Effects of psychological nursing care on anxiety and depression in perioperative patients with lung cancer: A systematic review and meta-analysis

BACKGROUND

This study aimed to investigate the effects of psychological nursing care (PNC) on anxiety relief in perioperative lung cancer (LC) patients.

METHODS

We searched the Cochrane Library, PubMed, Embase, CNKI, CBM, and Wangfang electronic databases from inception to May 1, 2022. Eligible randomized controlled trials (RCTs) investigating the effects and safety of PNC on anxiety relief in perioperative LC patients. Anxiety was the primary outcome measure. The secondary outcomes were depression, length of hospital stay, and the occurrence of adverse events.

RESULTS

Six eligible RCTs with 494 patients were included in this study. Compared with routine nursing care, PNC showed better outcomes in terms of anxiety relief (mean difference [MD] = -13.24; random 95% confidence interval (CI), -18.28 to -8.20; P<.001), depression decrease (MD = -11.84; random 95% CI, -18.67 to -5.01; P < .001), and length of hospital stay (MD = -2.6; fixed 95% CI, -3.13 to -2.07; P < .001). No data on adverse events were pooled because only 1 trial reported this outcome.

CONCLUSIONS

This study showed that PNC may benefit more than routine nursing care for patients with LC in anxiety, depression, and length of hospital stay. High-quality RCTs are needed to validate the current findings in the future.