Incidence of melancholic depression by age of onset and gender in the Lundby population, 1947-1997

An association study of depressive symptoms in adult couples over 50 years of age

BACKGROUND

Depression can lead to reduced physical activity, reduced quality of life, and self-sadness or even suicide, resulting in a huge burden of disease and financial loss.

OBJECTIVE

To study the associated factors of depressive symptoms in adult couples over the age of 50.

METHODS

The study collected data from the Survey of Health, Ageing and Retirement in Europe (SHARE) in 2013, 2015, 2017 and 2019/2020, and extracted couples over the age of 50. Logistic regression was used to analyze the associated factors of depressive symptoms in couples.

RESULTS

Binary Logistic regression showed the husbands' age (OR: 1.41, 95%CI: (1.11, 1.80)) and social activities (OR: 0.60, 95%CI: (0.45, 0.79)) were associated with depressive symptoms in wives. Wives' education level (OR: 0.62, 95%CI: (0.46, 0.85)), life satisfaction (OR: 0.57, 95%CI: (0.39, 0.84)) and number of chronic diseases (OR: 1.38, 95%CI: (1.10, 1.73)) were associated with depressive symptoms in husbands. Multinomial logistic regression found that couple's age "≥ 65 years" (OR: 1.45, 95%CI: (1.11, 1.90)), "low" education level (OR: 1.64, 95%CI: (1.07, 2.52)), self-rated health "good" (OR: 0.48, 95%CI: (0.29, 0.80)), life satisfaction "very satisfied" (OR: 0.48, 95%CI: (0.31, 0.75)) and "having" social activities (OR: 0.34, 95%CI: (0.19, 0.60)) were associated with the risk of depressive symptoms in couples. Having "≥ 2" chronic diseases (OR: 1.94, 95%CI: (1.22, 3.10)) was also associated with depressive symptoms in couples.

CONCLUSION

Age, education level, social activities, life satisfaction, self-rated health and number of chronic diseases were associated with depressive symptoms in both individuals and couples.

Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study

OBJECTIVE

Depression has emerged as a global public health concern with high incidence and disability rates, which are timely imperative to identify and intervene in clinical practice. The objective of this study was to explore the association between heart rate variability (HRV) and depression, with the aim of establishing and validating machine learning models for the auxiliary diagnosis of depression.

METHODS

The data of 465 outpatients from the Affiliated Hospital of Southwest Medical University were selected for the study. The study population was then randomly divided into training and test sets in a 7:3 ratio. Logistic regression (LR), support vector machine (SVM), random forest (RF) and eXtreme gradient boosting (XGBoost) algorithm models were used to construct risk prediction models in the training set, and the model performance was verified in the test set. The four models were evaluated by the area under the receiver operating characteristic curve (ROC), calibration curve and the decision curve analysis (DCA). Furthermore, we employed the SHapley Additive exPlanations (SHAP) method to illustrate the effects of the features attributed to the model.

RESULTS

There were 237 people in the depressed group and 228 in the non-depressed group. In the training set (n = 325) and test set (n = 140), the area under of the curve(AUC) values of the XGBoost model are 0.92 [95% confidence interval (CI) 0.888,0.95] and 0.82 (95% CI 0.754,0.892)] respectively, which are higher than the other three models. The XGBoost model has excellent predictive efficacy and clinical utility. The SHAP method was ranked according to the importance of the degree of influence on the model, with age, heart rate, Standard deviation of the NN intervals (SDNN), two nonlinear parameters of HRV and sex considered to be the top 6 predictors.

CONCLUSION

We provided a feasibility study of HRV as a potential biomarker for depression. The proposed model based on HRV provides clinicians with a quantitative auxiliary diagnostic tool, which is assist to improving the accuracy and efficiency of depression diagnosis, and can also be utilized for the monitoring and prevention of depression.

War-related trauma and posttraumatic stress disorder in refugees, displaced, and nondisplaced people during armed conflict in Sudan: a cross-sectional study

BACKGROUND

The ongoing armed conflict in Sudan has caused mass displacement, affecting mental health. This study aimed to assess the prevalence of posttraumatic stress disorder (PTSD) and trauma among refugees, internally displaced, and nondisplaced people, while also examining the link between displacement type, PTSD severity, and associated factors.

METHODS

This cross-sectional study used the Posttraumatic Stress Disorder Checklist for DSM-5 to assess PTSD symptoms and the General Health Questionnaire-28 to evaluate depression. Data were collected from 642 participants, targeting general social media groups for those within Sudan and specific groups for refugees outside the country. Sociodemographic and trauma event data were also gathered. Data analysis was conducted using SPSS, applying one-way ANOVA and independent t-tests to compare PTSD and depression. Binary logistic regression identified associations between sociodemographic factors and PTSD symptoms.

RESULTS

Among the 642 participants, 46.3% were internally displaced people (IDP), 42.1% were refugees, and 11.7% were non-displaced individuals. Clinically significant PTSD symptoms were identified in 36.6% of the participants. Refugees had a significantly greater percentage of traumatic events (M = 4.31, SD = 2.605, p < .01). Depression symptoms were found to be strongly associated with clinically significant PTSD (p < .001). Factors significantly linked to depression symptoms included female gender (p = 0.015), being single (p = 0.048), younger age (p = 0.036), dissatisfaction with living conditions (p < 0.001), and unemployment (p = 0.021). Dissatisfaction with living conditions also significantly influenced the likelihood of developing PTSD (p < .001).

CONCLUSION

The study found that 36.6% of participants experienced PTSD, with refugees having a 1.4 times greater risk of developing PTSD compared to IDP and non-displaced individuals. Traumatic events were moderately correlated with PTSD symptoms, though non-displaced individuals had higher exposure to such events. These findings highlight the need for targeted mental health interventions, particularly for refugees and those affected by traumatic events. Further research using probability sampling is necessary to confirm these results and inform more effective mental health policies and programs for displaced populations.

Effect of multimorbidity on depressive status in older Chinese adults: evidence from the China Health and Retirement Longitudinal Study (CHARLS)

OBJECTIVE

This study aims to further explore the relevant influencing factors of depression and explore the correlation between multimorbidity coexistence and depression to find the goals and methods of early intervention of depression in the elderly.

DESIGN

This study adopts a cross-sectional approach.

SETTING

The study population of this project came from the China Health and Retirement Longitudinal Study. Depression was grouped according to the 10-item version of Centre for Epidemiological Research Depression Scale. Chronic diseases, height, weight, grip strength, education, marital status, alcohol consumption, exercise and other indicators were included in the analysis.

PARTICIPANTS

2239 adults over 60 years of age were included.

RESULTS

The proportion of women in the depression group was higher (p<0.001). The depression group had a lower grip strength than the control group (p<0.05). The sleep duration was shorter in the depression group (p<0.001). There were differences in education, marital status and alcohol consumption in the depression group (p<0.05). The depression group might have more types of coexisting chronic diseases (p<0.001). The depression group was more likely to have hypertension, dyslipidaemia, chronic lung diseases, heart attack, stroke, stomach disease and memory-related disease. Grip strength was connected with the risk of depression in the elderly (0.971 (95% CI 0.959 to 0.984)). Sleep (0.827 (95% CI 0.785 to 0.872) and education level (0.790 (95% CI 0.662 to 0.942) were related to the risk of depression in the elderly. Concomitant chronic diseases could affect the risk of depression in the elderly (1.455 (95% CI 1.243 to 1.703)).

CONCLUSION

The coexistence of multiple chronic diseases and depression is very common in the elderly. The coexistence of multiple chronic diseases is more common in older women and older depressed people. With the increase in the number of chronic diseases, the risk of depression in the elderly is significantly increased.

The influence of gender-specific factors influencing severe anxiety in psychotic major depression: role of thyroid hormones and depression severity

BACKGROUND

Psychotic major depression (PMD) is characterized by major depressive disorder (MDD) accompanied by delusions or hallucinations. While the prevalence of PMD and its association with anxiety have been studied, gender-specific differences and the role of thyroid hormones in PMD-related anxiety remain less explored.

METHODS

A total of 1718 first-episode and drug-naïve MDD patients was assessed for the presence of PMD and severe anxiety. Clinical assessments, including Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), Positive and Negative Syndrome Scale (PANSS), and Clinical Global Impressions-Severity (CGI-S) scale, were conducted to assess depression, anxiety, psychotic symptoms, and clinical severity, respectively. Blood samples were collected to measure thyroid function parameters.

RESULTS

The prevalence of severe anxiety was higher in PMD patients compared to non-psychotic MDD patients (71.3% vs. 5.3%). No significant gender differences were observed in the prevalence of severe anxiety among PMD patients. However, elevated thyroid-stimulating hormone (TSH) levels and increased depression severity (HAMD scores) were identified as independent risk factors for severe anxiety in female PMD patients. In contrast, no significant risk factors were found in male PMD patients. The area under the receiver operating characteristic (AUCROC) analysis revealed that the HAMD score and TSH level showed acceptable discriminatory capacity for distinguishing between female PMD patients with and without severe anxiety.

CONCLUSION

This study highlights the heightened prevalence of severe anxiety in PMD patients, with TSH levels and depression severity emerging as gender-specific risk factors for anxiety in females. These findings suggest the importance of thyroid hormone assessment and tailored interventions for managing anxiety in female PMD patients.

Role of estrogen in treatment of female depression

Depression is a neurological disorder that profoundly affects human physical and mental health, resulting in various changes in the central nervous system. Despite several prominent hypotheses, such as the monoaminergic theory, hypothalamic-pituitary-adrenal (HPA) axis theory, neuroinflammation, and neuroplasticity, the current understanding of depression's pathogenesis remains incomplete. Importantly, depression is a gender-dimorphic disorder, with women exhibiting higher incidence rates than men. Given estrogen's pivotal role in the menstrual cycle, it is reasonable to postulate that its fluctuating levels could contribute to the pathogenesis of depression. Estrogen acts by binding to a diversity of receptors, which are widely distributed in the central nervous system. An abundance of research has established that estrogen and its receptors play a crucial role in depression, spanning pathogenesis and treatment. In this comprehensive review, we provide an in-depth analysis of the fundamental role of estrogen and its receptors in depression, with a focus on neuroinflammation, neuroendocrinology, and neuroplasticity. Furthermore, we discuss potential mechanisms underlying the therapeutic effects of estrogen in the treatment of depression, which may pave the way for new antidepressant drug development and alternative treatment options.

Is melancholia a distinct syndrome? Recurrence, chronicity, and severity give evidence in the 50 year follow-up of the Lundby Study

Introduction

Whether melancholia is a distinct syndrome has long been debated. One aspect of a valid syndrome is whether it allows for determination of a prognosis. The aim of this study is to investigate the course of melancholic depression versus non-melancholic depression with a focus on: (i) time to and probability of recovery from the first depressive episode, (ii) time to and risk of the first recurrence, (iii) rate of recurrence, (iv) time with depression or antidepressant medication, and (v) suicide risk.

Methods

The Lundby Study is a longitudinal community study on mental health that followed a geographically defined population (N = 3,563) for up to 50 years, 1947-1997. Subjects with first onset depression were assessed as melancholic (N = 46) or non-melancholic (N = 381) using the DSM-IV melancholic specifier. These diagnoses were made in retrospect using all available information from semi-structured interviews by psychiatrists, key informants, registers, and patient records.

Results

We found no significant difference between melancholic- and non-melancholic depression in time to and probability of recovery from the first depressive episode. The time to first recurrence was shorter in melancholic than in non-melancholic depression and the risk of first recurrence for the melancholic group was 2.77 (95% confidence interval [CI] 1.83-4.20) times the risk in the non-melancholic group. The median rate of recurrence was higher in the melancholic group, at 0.19 recurrences per year at risk (interquartile range [IQR] 0.08-0.47), compared to the non-melancholic group, at 0.10 recurrences per year at risk (IQR 0.05-0.21) (p < 0.03). The median percentage of time being depressed or on antidepressant medication was higher in the melancholic group, 17% (IQR 3-20%), compared to the non-melancholic group, 8% (IQR 7-33%) (p < 0.001). The risk of suicide was higher in the melancholic group, hazard ratio 4.13 (95% CI 1.49-11.48, p < 0.01).

Discussion

To conclude, melancholic depression had a more recurrent, chronic, and severe course with a higher suicide risk than did non-melancholic depression in the Lundby population. Although our use of retrospective diagnosis might limit interpretation of results, the findings indicate that melancholia may be useful in determining prognosis and may be a valid psychopathological syndrome.