Gender differences in depressive symptom profiles and patterns of psychotropic drug usage in Asian patients with depression: Findings from the Research on Asian Psychotropic Prescription Patterns for Antidepressants study

Sex differences in serum trace elements and minerals levels in unmedicated patients with major depressive episode: The role of suicidal ideation

BACKGROUND

We aimed to examine the influence of gender on serum trace elements and minerals levels in depression, as well as the impact of suicidal ideation (SI) on these gender dimorphisms.

METHODS

A total of 260 unmedicated patients with a current major depressive episode were enrolled. The Beck Scale for Suicide Ideation was utilized to evaluate SI. The serum levels of copper, zinc, iron, calcium, phosphorus, and magnesium were quantified.

RESULTS

Within the non-SI (NSI) group, females exhibited higher levels of copper (p = 0.001) and phosphorus (p = 0.008), and lower levels of zinc (p = 0.022) and calcium (p = 0.008) compared to males. Conversely, no discernible gender disparities were observed in the SI group (all p > 0.05). Also, no group differences in these trace elements/minerals were observed between the SI and NSI groups (all p > 0.05). Notably, serum iron levels exhibited a significant group-by-sex interaction effect (p = 0.024). Further analysis revealed that iron levels were higher in the SI group than in the NSI group among females (p = 0.048), but lower in females than in males within the NSI group (p < 0.001). Moreover, a positive association between the fourth quantile of serum iron and SI was detected in females (odds ratio [OR] = 2.88, 95 % confidence interval [CI]: 1.08-8.11).

CONCLUSIONS

Gender effects on serum trace element/mineral levels were different in depressed patients with and without SI. Female patients were susceptible to SI when serum iron was at the upper end of normal.

Nos1+ and Nos1- excitatory neurons in the BLA regulate anxiety- and depression-related behaviors oppositely

BACKGROUND

The basolateral amygdala (BLA) neurons are primarily glutamatergic and have been associated with emotion regulation. However, little is known about the roles of BLA neurons expressing neuronal nitric oxide synthase (nNOS, Nos1) in the regulation of emotional behaviors.

METHODS

Using Nos1-cre mice and chemogenetic and optogenetic manipulations, we specifically silenced or activated Nos1⁺ or Nos1^- neurons in the BLA, or silenced their projections to the anterdorsal bed nucleus of the stria terminalis (adBNST) and ventral hippocampus (vHPC). We measured anxiety behaviors in elevated plus maze (EPM) and open-field test (OFT), and measured depression behaviors in forced swimming test (FST) and tail suspension test (TST).

RESULTS

BLA Nos1⁺ neurons were predominantly glutamatergic, and glutamatergic but not GABAergic Nos1⁺ neurons were involved in controlling anxiety- and depression-related behaviors. Interestingly, by selectively manipulating the activities of BLA Nos1⁺ and Nos1^- excitatory neurons, we found that they had opposing effects on anxiety- and depression-related behaviors. BLA Nos1⁺ excitatory neurons projected to the adBNST, this BLA-adBNST circuit controlled the expression of anxiety- and depression-related behaviors, while BLA Nos1^- excitatory neurons projected to vHPC, this BLA-vHPC circuit contributed to the expression of anxiety- and depression-related behaviors. Moreover, excitatory vHPC-adBNST circuit antagonized the role of BLA-adBNST circuit in regulating anxiety- and depression-related behaviors.

CONCLUSIONS

BLA Nos1⁺ and Nos1^- excitatory neuron subpopulations exert different effects on anxiety- and depression-related behaviors through distinct projection circuits, providing a new insight of BLA excitatory neurons in emotional regulation.

LIMITATIONS

We did not perform retrograde labeling from adBNST and vHPC regions.

A Machine-Learning-Algorithm-Based Prediction Model for Psychotic Symptoms in Patients with Depressive Disorder

Psychotic symptoms are rarely concurrent with the clinical manifestations of depression. Additionally, whether psychotic major depression is a subtype of major depression or a clinical syndrome distinct from non-psychotic major depression remains controversial. Using data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, we developed a machine-learning-algorithm-based prediction model for concurrent psychotic symptoms in patients with depressive disorders. The advantages of machine learning algorithms include the easy identification of trends and patterns, handling of multi-dimensional and multi-faceted data, and wide application. Among 1171 patients with depressive disorders, those with psychotic symptoms were characterized by significantly higher rates of depressed mood, loss of interest and enjoyment, reduced energy and diminished activity, reduced self-esteem and self-confidence, ideas of guilt and unworthiness, psychomotor agitation or retardation, disturbed sleep, diminished appetite, and greater proportions of moderate and severe degrees of depression compared to patients without psychotic symptoms. The area under the curve was 0.823. The overall accuracy was 0.931 (95% confidence interval: 0.897–0.956). Severe depression (degree of depression) was the most important variable in the prediction model, followed by diminished appetite, subthreshold (degree of depression), ideas or acts of self-harm or suicide, outpatient status, age, psychomotor retardation or agitation, and others. In conclusion, the machine-learning-based model predicted concurrent psychotic symptoms in patients with major depression in connection with the “severity psychosis” hypothesis.

Gender differences in screening self-reported psychotic symptoms in a first help-seeking population

Gender differences in the frequency and severity of psychotic symptoms have been widely reported. However, in the screening process for the detection of early psychosis, gender differences were largely overlooked in China. This study investigated gender differences in self-reported psychotic symptoms in a clinical population who initially visited a mental health service. In total, 1931 consecutive new patients were included in the current analysis, with a mean age of 25.3 years, including 852 (44.1%) men and 1079 (55.9%) women, of whom 388 (20.1%) had psychotic disorders and 1543 (79.9%) had non-psychotic disorders. Psychotic symptoms were assessed using the PRIME Screen-Revised (PS-R) questionnaire. The cohort was grouped according to gender, age (adolescents ≤ 21 years, adults > 21 years), and clinical diagnosis. Within the full sample, gender differences in psychotic symptoms were not significant, except that females appeared to have more severe symptoms of disorganized communication than males. However, gender differences began to appear at subgroup levels, after stratification by age and diagnosis. Female adolescents reported more severe psychotic symptoms than male adolescents, especially in the symptom of perceptual abnormalities, which refer to hallucinations. Different patterns and predictors were found to significantly discriminate between psychotic and non-psychotic disorders among age and gender groups. Our study highlights gender differences in the severity, frequency, and pattern of self-reported psychotic symptoms when screening in a first help-seeking population. Therefore, gender differences should be considered during psychotic symptoms screening.

Sex differences in the association between symptom profiles and cognitive functioning in patients with depressive disorder

OBJECTIVE

Depressive disorder (DD) is a heterogeneous disease with sex differences in symptom profiles and cognitive performance. However, sex differences in cognitive dysfunction associated with different symptom profiles have received little systematic study. This study aimed to explore the association between clinical symptoms and cognitive deficits in patients with DD.

METHODS

A cohort of 222 hospitalized patients with DD (males/females = 114/108) and 173 healthy controls (males/females = 80/93) were enrolled. Cognitive function was measured using a comprehensive neuropsychological battery. Depression was assessed using the 17-item Hamilton Rating Scale for Depression (HAMD-17). According to different genders, the relationship between symptom profiles and cognitive deficits was identified using partial correlation analysis and multiple regression analysis.

RESULTS

Patients with DD performed significantly worse than healthy controls in all cognitive domains investigated (all p < 0.05). Remarkably, female patients scored better than male patients on information processing speed (p < 0.05). Multivariate regression analyses showed that the retardation factor score was independently associated with attention and cognitive flexibility, and the sleep disturbance factor score was independently associated with information processing speed in male patients. Furthermore, the anxiety/somatization factor score was independently associated with working memory in female patients.

CONCLUSION

In the present study, we showed that significant sex differences in the association between symptom profiles and cognitive impairment are present in DD patients. Understanding how DD patients' clinical features and cognitive performance are linked from a sex perspective may have clinical implications for predicting and interfering with the outcome of depression.

Network analysis of the depressive symptom profiles in Asian patients with depressive disorders: Findings from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP-AD)

AIM

We aimed to estimate the network structures of depressive symptoms using network analysis and evaluated the geographic regional differences in theses network structures among Asian patients with depressive disorders.

METHODS

Using data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP-AD), the network of the ICD-10 diagnostic criteria for depressive episode was estimated from 1174 Asian patients with depressive disorders. The node strength centrality of all ICD-10 diagnostic criteria for a depressive episode was estimated using a community-detection algorithm. In addition, networks of depressive symptoms were estimated separately among East Asian patients and South or Southeast Asian patients. Moreover, networks were estimated separately among Asian patients from high-income countries and those from middle-income countries.

RESULTS

Persistent sadness, fatigue, and loss of interest were the most centrally situated within the network of depressive symptoms in Asian patients with depressive disorders overall. A community-detection algorithm estimated that when excluding psychomotor disturbance as an outlier, the other nine symptoms formed the largest clinically meaningful cluster. Geographic and economic variations in networks of depressive symptoms were evaluated.

CONCLUSION

Our findings demonstrated that the typical symptoms of the ICD-10 diagnostic criteria for depressive episode are the most centrally situated within the network of depressive symptoms. Furthermore, our findings suggested that cultural influences related to geographic and economic distributions of participants could influence the estimated depressive symptom network in Asian patients with depressive disorders.

The associations between screen time-based sedentary behavior and depression: a systematic review and meta-analysis

Background

The use of computers/TV has become increasingly common worldwide after entering the twenty-first century and depression represents a growing public health burden. Understanding the association between screen time-based sedentary behavior (ST-SB) and the risk of depression is important to the development of prevention and intervention strategies.

Methods

We searched the electronic databases of Medline, Embase and the Cochrane Library. The odds ratio (OR) with corresponding 95% confidence intervals (CIs) was adopted as the pooled measurement. Subgroup analyses were investigated by stratified meta-analyses based on age, gender and reference group (reference category of screen time, e.g. 2 h/day, 4 h/day).

Results

There were 12 cross-sectional studies and 7 longitudinal studies met the inclusion criteria. Overall, the pooled OR was 1.28 with high heterogeneity (I² = 89%). Compared to those who reported less SB, persons reporting more SB had a significantly higher risk of depression. When the gender was stratified, the pooled OR was 1.18 in female groups while no significant association was observed in males. Among the 19 studies, 5 studies used a reference group with ST = 2 h/days (pooled OR = 1.46), 9 studies used ≥4 h as a reference group (pooled OR = 1.38), 2 studies used 1 h as a reference group (pooled OR = 1.07) and for the remaining 3 studies, hours of ST were calculated as a continuous variable (pooled OR = 1.04).

Conclusions

ST-SB is associated with depression risk and the effects vary in different populations. In addition, valid objective measures of SB should be developed in future studies.

Prevalence, risk factors and multi-group latent class analysis of lifetime anxiety disorders comorbid depressive symptoms

BACKGROUND

Previous studies about comorbidity have primarily focused on disorders based on diagnostic criteria instead of symptoms. This study aimed to describe the prevalence and risk factors of anxiety comorbid depression based on a population-based sample in Chifeng City Inner Mongolia and explored the gender differences of depressive subtypes in anxiety patients.

METHODS

This study was a cross-sectional study conducted among 6376 community residents. Logistics analysis and multiple-group latent class analysis was used in exploring the risk factors and subtypes of anxiety comorbid depressive symptoms.

RESULTS

A total of 4528 respondents were interviewed in this study. The lifetime prevalence estimates for anxiety in the total sample was 5.70%. Among residents who had ever had anxiety, most of them reported having depressive symptoms while 15.79% of them met the criteria of MDD. Logistics analysis showed childhood adversities were associated with anxiety comorbid depressive symptoms. The results of multiple-group latent class analysis showed that the latent class probabilities were different between males and females.

CONCLUSION

The prevalence rates of comorbidity were similar to the reports of previous regional surveys in China with statistically significant differences of comorbidity occurring between males and females. Precision prevention should therefore be targeted towards different kinds of populations.

Risks of treated anxiety, depression, and insomnia among nurses: A nationwide longitudinal cohort study

The high level of occupational stress and burnout among nurses can lead to insomnia, anxiety, and depression. However, the actual risks for healthcare-seeking for these stress-related mental health problems among nurses are still unclear. The aim of this study was to explore the risks and influencing factors of treated anxiety, depression, and insomnia among nurses. We used claims data obtained from the 2010 National Health Insurance Research Database (NHIRD) in Taiwan. Hospital nurses who had at least 3 coded ambulatory care claims or 1 inpatient claim with a principal diagnosis of anxiety, depression, or insomnia were identified. A cohort of 46,120 nurses and 92,240 matched controls were included. All the study subjects were followed up until the onset of any of the aforementioned outcomes, death, or the end of 2012. Results showed that the adjusted hazard ratios (HRs) for treated anxiety, depression, and insomnia among all the nurses were 0.91 (95% CI, 0.88–0.95), 0.59 (95% CI, 0.55–0.63), and 1.43 (95% CI, 1.38–1.48), respectively. Furthermore, the risks of these psychiatric problems in healthcare-seeking nurses were affected by age, gender, hospital level, and job tenure. Our findings suggest that hospital nurses have lower hazards of treated anxiety and depression than the general population, although they have a higher hazard of treated insomnia. There may be undertreatment in some subgroups of nurses with different demographic and working characteristics.

Suicidal thoughts/acts and clinical correlates in patients with depressive disorders in Asians: results from the REAP-AD study

OBJECTIVE

Using data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP-AD) study, we aimed to present the rates and clinical correlates of suicidal thoughts/acts in patients recruited from a total of 40 centres in 10 Asian countries/areas: China, Hong Kong, India, Indonesia, Japan, Korea, Malaysia, Singapore, Taiwan, and Thailand.

METHODS

Data from 1122 patients with depressive disorders in the REAP-AD study were used. The ICD-10 was employed to diagnose depressive episodes and recurrent depressive disorder. The presence or absence of suicidal thoughts/acts and profile of other depressive symptoms was established using the National Institute for Health and Clinical Excellence guidelines for depression. Country/area differences in rates of suicidal thoughts/acts were evaluated with the χ2 test. In addition, depressive symptom profiles, other clinical characteristics, and patterns of psychotropic drug prescription in depressed patients with and without suicidal thoughts/acts were compared using analysis of covariance for continuous variables and logistic regression analysis for discrete variables to adjust the effects of covariates.

RESULTS

The rates of suicidal thoughts/acts in 10 countries/areas varied from 12.8% in Japan to 36.3% in China. Patients with suicidal thoughts/acts presented more persistent sadness (adjusted odds ratio [aOR]=2.64, p<0.001), loss of interest (aOR=2.33, p<0.001), fatigue (aOR=1.58, p<0.001), insomnia (aOR=1.74, p<0.001), poor concentration (aOR=1.88, p<0.001), low self-confidence (aOR=1.78, p<0.001), poor appetite (aOR=2.27, p<0.001), guilt/self-blame (aOR=3.03, p<0.001), and use of mood stabilisers (aOR=1.79, p<0.001) than those without suicidal thoughts/acts.

CONCLUSION

Suicidal thoughts/acts can indicate greater severity of depression, and are associated with a poorer response to antidepressants and increased burden of illness. Hence, suicidal thoughts/acts can provide a clinical index reflecting the clinical status of depressive disorders in Asians.

Clinical Significance of the Number of Depressive Symptoms in Major Depressive Disorder: Results from the CRESCEND Study

Our study aimed to establish the relationship between the number of depressive symptoms and the clinical characteristics of major depressive disorder (MDD). This would enable us to predict the clinical significance of the number of depressive symptoms in MDD patients. Using data from the Clinical Research Center for Depression (CRESCEND) study in Korea, 853 patients with DSM-IV MDD were recruited. The baseline and clinical characteristics of groups with different numbers of depressive symptoms were compared using the χ(2) test for discrete variables and covariance (ANCOVA) for continuous variables. In addition, the scores of these groups on the measurement tools were compared by ANCOVA after adjusting the potential effects of confounding variables. After adjusting the effects of monthly income and history of depression, a larger number of depressive symptoms indicated higher overall severity of depression (F [4, 756] = 21.458, P < 0.001) and higher levels of depressive symptoms (F [4, 767] = 19.145, P < 0.001), anxiety symptoms (F [4, 765] = 12.890, P < 0.001) and suicidal ideation (F [4, 653] = 6.970, P < 0.001). It also indicated lower levels of social function (F [4, 760] = 13.343, P < 0.001), and quality of life (F [4, 656] = 11.975, P < 0.001). However, there were no significant differences in alcohol consumption (F [4, 656] = 11.975, P < 0.001). The number of depressive symptoms can be used as an index of greater illness burden in clinical psychiatry.

Gender Differences in the Clinical Characteristics of Psychotic Depression: Results from the CRESCEND Study

OBJECTIVE

To test whether there are gender differences in the clinical characteristics of patients with psychotic depression (PD).

METHODS

Using data from the Clinical Research Center for Depression (CRESCEND) study in South Korea, we tested for potential gender differences in clinical characteristics among 53 patients with PD. The Psychotic Depression Assessment Scale (PDAS) and other psychometric scales were used to evaluate various clinical features of the study subjects. Independent t-tests were performed for normally distributed variables, Mann-Whitney U-tests for non-normally distributed variables, and χ(2)tests for discrete variables. In addition, to exclude the effects of confounding variables, we carried out an analysis of covariance (ANCOVA) for the normally distributed variables and binary logistic regression analyses for discrete variables, after adjusting the effects of marital status.

RESULTS

We identified more prevalent suicidal ideation (adjusted odds ratio [aOR]=10.316, p=0.036) and hallucinatory behavior (aOR=8.332, p=0.016), as well as more severe anxiety symptoms (degrees of freedom [df]=1, F=6.123, p=0.017), and poorer social and occupational functioning (df=1, F=6.265, p=0.016) in the male patients compared to the female patients.

CONCLUSION

Our findings suggest that in South Korean patients with PD, suicidal ideation, hallucinatory behavior, and anxiety is more pronounced among males than females. This should be taken into consideration in clinical practice.