According to the recently proposed vigilance model of affective disorders (vigilance in the sense of "brain arousal"), manic behaviour is partly interpreted as an autoregulatory attempt to stabilise ...vigilance by creating a stimulating environment, and the sensation avoidance and withdrawal in Major Depressive Disorder (MDD) is seen as an autoregulatory reaction to tonically increased vigilance. Indeed, using a newly developed EEG-based algorithm, hyperstable vigilance was found in MDD, and the contrary, with rapid drops to sleep stages, in mania. Furthermore, destabilising vigilance (e.g. by sleep deprivation) triggers (hypo)mania and improves depression, whereas stabilising vigilance, e.g. by prolonged sleep, improves mania. ADHD and mania have common symptoms, and the unstable vigilance might be a common pathophysiology. There is even evidence that psychostimulants might ameliorate both ADHD and mania. Hyperactivity of the noradrenergic system could explain both the high vigilance level in MDD and, as recently argued, anhedonia and behavioural inhibition. Interestingly, antidepressants and electroconvulsions decrease the firing rate of neurons in the noradrenergic locus coeruleus, whereas many antimanic drugs have opposite effects.
Electronic mental health interventions for mood disorders have increased rapidly over the past decade, most recently in the form of various systems and apps that are delivered via smartphones.
We aim ...to provide an overview of studies on smartphone-based systems that combine subjective ratings with objectively measured data for longitudinal monitoring of patients with affective disorders. Specifically, we aim to examine current knowledge on: (1) the feasibility of, and adherence to, such systems; (2) the association of monitored data with mood status; and (3) the effects of monitoring on clinical outcomes.
We systematically searched PubMed, Web of Science, PsycINFO, and the Cochrane Central Register of Controlled Trials for relevant articles published in the last ten years (2007-2017) by applying Boolean search operators with an iterative combination of search terms, which was conducted in February 2017. Additional articles were identified via pearling, author correspondence, selected reference lists, and trial protocols.
A total of 3463 unique records were identified. Twenty-nine studies met the inclusion criteria and were included in the review. The majority of articles represented feasibility studies (n=27); two articles reported results from one randomized controlled trial (RCT). In total, six different self-monitoring systems for affective disorders that used subjective mood ratings and objective measurements were included. These objective parameters included physiological data (heart rate variability), behavioral data (phone usage, physical activity, voice features), and context/environmental information (light exposure and location). The included articles contained results regarding feasibility of such systems in affective disorders, showed reasonable accuracy in predicting mood status and mood fluctuations based on the objectively monitored data, and reported observations about the impact of monitoring on clinical state and adherence of patients to the system usage.
The included observational studies and RCT substantiate the value of smartphone-based approaches for gathering long-term objective data (aside from self-ratings to monitor clinical symptoms) to predict changes in clinical states, and to investigate causal inferences about state changes in patients with affective disorders. Although promising, a much larger evidence-base is necessary to fully assess the potential and the risks of these approaches. Methodological limitations of the available studies (eg, small sample sizes, variations in the number of observations or monitoring duration, lack of RCT, and heterogeneity of methods) restrict the interpretability of the results. However, a number of study protocols stated ambitions to expand and intensify research in this emerging and promising field.
Abstract Migrants face many barriers to mental health care, such as different cultural concepts of distress, unfamiliar pathways to care, and language. Digital mental health interventions are ...effective and scalable in multi-language versions. However, their implementation into routine care is in its infancy. Here, we report on the Arabic- and German-language implementation of two digital interventions in Germany: The iFightDepression ® website, providing information about depression to the public, and the iFightDepression ® tool, offering guided self-management for depression. Our main goal is to gain empirical knowledge about the success of their implementation and provide evidence-based recommendations for improvement. Data for the current analyses stem from convenience samples, utilizing anonymized user logs of the iFightDepression ® website and 15.307 user accounts in the iFightDepression ® tool. We found that the acceptability (time on page, usage behavior) of both digital interventions was comparable between the two user groups. The website pervasiveness of the target populations was nine times lower among Arab migrants in Germany than Germans (89 vs. 834 unique page views/ 100,000 inhabitants), but the increase in views was superior and sustained over three years. The adoption of the tool was lower among Arabic than German users (conversion rate from invitation to completed registration: 30.8% vs. 59.0%, p < 0.001) and appropriateness was challenged as Arabic users reported higher depression severities upon first registration ( p = 0.027). Our results show that the uptake of digital interventions for migrants requires facilitation and further tailoring to the needs of the target group.
Depression is a severe disease with great burdens for the affected individuals and public health care systems. Autonomic nervous system (ANS) dysfunction indexed by measures of heart rate variability ...(HRV) has repeatedly been associated with depression. However, HRV parameters are subject to a wide range of multi-factorial influences and underlying mechanisms in depression are still unclear. HRV parameters have been proposed to be promising candidates for diagnostic or predictive bio-markers for depression but necessary longitudinal design studies investigating the relationship between HRV and depression are scarce.
The sample in this study consisted of 62 depressive individuals without antidepressant medication prior to assessment and 65 healthy controls. Fifteen minute blocks of resting ECGs were recorded 1-2 days before onset of antidepressant treatment and 2 weeks thereafter. The ECGs were pre-processed to extract inter-beat-intervals. Linear and non-linear methods were used to extract HRV parameters. ANOVAS were performed to investigate group differences between depressive patients and healthy controls. Associations between the change in severity of depression and HRV parameters were assessed in a repeated measurements design.
Analyses revealed HRV parameter differences between the groups of depressive patients and healthy controls at baseline. Further results show differences in HRV parameters within subjects after 2 weeks of antidepressant treatment. Change in HRV parameter values correlated with changes in symptom severity of depression.
The current results provide further insight into the relationship between HRV parameters and depression. This may help to underpin utilization of HRV parameters are bio-maker for disease state in depression. Results are discussed within a theoretical framework to link arousal and ANS regulation in depression.
Suicide accounts for over 58,000 deaths in Europe per annum, where suicide attempts are estimated to be 20 times higher. Males have been found to have a disproportionately lower rate of suicide ...attempts and an excessively higher rate of suicides compared to females. The gender difference in suicide intent is postulated to contribute towards this gender imbalance. The aim of this study is to explore gender differences in suicide intent in a cross-national study of suicide attempts. The secondary aims are to investigate the gender differences in suicide attempt across age and country.
Data on suicide attempts (acquired from the EU-funded OSPI-Europe project) was obtained from eight regions in Germany, Hungary, Ireland and Portugal. Suicide intent data was categorized into 'Non-habitual Deliberate Self-Harm' (DSH), 'Parasuicidal Pause' (SP), 'Parasuicidal Gesture' (SG), and 'Serious Suicide Attempt' (SSA), applying the Feuerlein scale. Gender differences in intent were explored for significance by using χ
-tests, odds ratios, and regression analyses.
Suicide intent data from 5212 participants was included in the analysis. A significant association between suicide intent and gender was found, where 'Serious Suicide Attempts' (SSA) were rated significantly more frequently in males than females (p < .001). There was a statistically significant gender difference in intent and age groups (p < .001) and between countries (p < .001). Furthermore, within the most utilised method, intentional drug overdose, 'Serious Suicide Attempt' (SSA) was rated significantly more often for males than females (p < .005).
Considering the differences in suicidal intent between males and females highlighted by the current study, gender targeted prevention and intervention strategies would be recommended.
Chronic systemic inflammation in obesity originates from local immune responses in visceral adipose tissue. However, assessment of a broad range of inflammation-mediating cytokines and their ...relationship to physical activity and adipometrics has scarcely been reported to date.
To characterize the profile of a broad range of pro- and anti-inflammatory cytokines and the impact of physical activity and energy expenditure in individuals with general obesity, central obesity, and non-obese subjects.
A cross-sectional study comprising 117 obese patients (body mass index (BMI) ≥ 30) and 83 non-obese community-based volunteers.
Serum levels of interleukin (IL)-2, IL-4, IL-5, IL-10, IL-12, IL-13, granulocyte-macrophage colony-stimulating factor (GM-CSF), interferon (IFN)-γ and tumor necrosis factor (TNF)-α were measured. Physical activity and energy expenditure (MET) were assessed with actigraphy. Adipometrics comprised BMI, weight, abdominal-, waist- and hip-circumference, waist to hip ratio (WHR), and waist-to-height-ratio (WHtR).
General obesity was associated with significantly elevated levels of IL-5, IL-10, IL-12, IL-13, IFN-γ and TNF-α, central obesity with significantly elevated IL-5, IL-10, IL-12, IL-13 and IFN-γ-levels. In participants with general obesity, levels of IL-4, IL-10 and IL-13 were significantly elevated in participants with low physical activity, even when controlled for BMI which was negatively associated with physical acitivity. Cytokines significantly correlated with adipometrics, particularly in obese participants.
Results confirm up-regulation of certain pro- and anti-inflammatory cytokines in obesity. In obese subjects, physical activity may lower levels and thus reduce pro-inflammatory effects of cytokines that may link obesity, insulin resistance and diabetes.
The COVID-19 pandemic and associated measures to restrict the spread of the virus correlated with limitations in healthcare and changes in depression-related lifestyle elements (loss of daily ...structure, lack of exercise, and extended bed and sleep time) for depressed patients, both of which are known to negatively affect the course of depression. This paper examines, (i) the reporting of a worsening state of illness as a result of COVID-19-related measures among individuals with depressive disorders; and (ii) whether this worsening was related to restrictions in healthcare for depression or changes in depression-related lifestyle. The analysis was based on a population-representative survey of the German population aged 18-69 years (
= 5,135 respondents, comprising a subgroup of
= 1,038 persons suffering from depression and
= 598 persons who spent the lockdown primarily in home isolation). The key findings were: 49% (
= 505) of respondents with self-reported diagnosed depression reported that the measures against the pandemic had a negative impact on their depressive illness (new depressive episode, worsening of symptoms, suicidal impulses, suicide attempt, and other negative consequences). Of those who reported impaired access to healthcare for their depressive illness, 70% (
= 276) also reported a worsening of their depressive illness. This was a significantly higher percentage than those who did not experience impaired access to healthcare (36%,
= 229,
< 0.001). Of those who reported changes in depression-related lifestyle (loss of daily structure, lack of exercise, or extended bed and sleep time), 58% (
= 308) reported a worsening of their depressive illness. This was a significantly higher percentage than those who did not exhibit any of the outlined behaviours (28%,
= 19,
< 0.001). Worsening of the depressive illness was most common among those who reported a lack of daily structure or extended bedtimes (67%;
= 230 resp.
= 226). People who mentioned a lack of exercise also reported a worsening of their depressive illness (59%;
= 271). These findings reinforce the need to consider the suffering and possible increased suicide risk to people suffering from depression induced by measures designed to constrain the COVID-19 pandemic; an important consideration in identifying the optimal risk-benefit ratio when setting pandemic measures. Our study highlighted the importance of maintaining healthcare, even in crisis situations, and ensuring access to guideline-based treatment for people who need urgent care. It also showed that political interventions can influence individual behaviours that can have negative effects on depressive illness.
The impact of the COVID-19 pandemic and of measures implemented to curb the spread of the virus on suicidal behavior has been investigated in different regions of the world, but does not yet allow to ...draw conclusions for Germany. Especially lockdowns might have effects on suicide rates via impact on mental disorders, changes in the choice of suicide method, a decrease in help seeking behavior, or a deterioration in the quality of medical care for people with mental disorders. The following research questions were addressed: i) did suicide rates in Germany in 2020 change during lockdown and non-lockdown periods when compared to a ten-year baseline? ii) was there a change in the proportion of suicide methods during the lockdown compared to baseline? An interrupted time-series analysis based on a linear regression was used. For the comparisons of predicted and observed suicide rates, excess suicide mortality rates (ESMR) were chosen among others. Changes in the choice of method were analyzed by comparing the rates of different methods to those at baseline. Although the mean suicide rate in 2020 was not significantly different from baseline, the weekly analysis of suicide rates revealed a significant difference (X.sup.2 = 64.16; df = 39; p = 0.007), with some weeks showing higher and others lower rates than previous years. The effects for separate weeks were attenuated to non-significance after correction for multiple testing. Suicide mortality during the first lockdown in 2020 was significantly lower than expected (ESMR = 0.933; 95% CI: 0.890; 0.985) whereas, in the post-lockdown period, the registered suicide mortality was not significantly different from the expected one (ESMR = 1.024; 95% CI: 0.997; 1.051). During lockdown, there was a significant increase of the percentage of the suicide method categories jumping and 'other methods' and a decrease of poisoning and lying in front of a moving object. Being able to determine whether the choice of more or less lethal methods during lockdown versus non-lockdown periods partly explains this finding would require a representative assessment of attempted suicides.
Many countries are developing suicide prevention strategies for which up-to-date, high-quality evidence is required. We present updated evidence for the effectiveness of suicide prevention ...interventions since 2005.
We searched PubMed and the Cochrane Library using multiple terms related to suicide prevention for studies published between Jan 1, 2005, and Dec 31, 2014. We assessed seven interventions: public and physician education, media strategies, screening, restricting access to suicide means, treatments, and internet or hotline support. Data were extracted on primary outcomes of interest, namely suicidal behaviour (suicide, attempt, or ideation), and intermediate or secondary outcomes (treatment-seeking, identification of at-risk individuals, antidepressant prescription or use rates, or referrals). 18 suicide prevention experts from 13 European countries reviewed all articles and rated the strength of evidence using the Oxford criteria. Because the heterogeneity of populations and methodology did not permit formal meta-analysis, we present a narrative analysis.
We identified 1797 studies, including 23 systematic reviews, 12 meta-analyses, 40 randomised controlled trials (RCTs), 67 cohort trials, and 22 ecological or population-based investigations. Evidence for restricting access to lethal means in prevention of suicide has strengthened since 2005, especially with regard to control of analgesics (overall decrease of 43% since 2005) and hot-spots for suicide by jumping (reduction of 86% since 2005, 79% to 91%). School-based awareness programmes have been shown to reduce suicide attempts (odds ratio OR 0·45, 95% CI 0·24-0·85; p=0·014) and suicidal ideation (0·5, 0·27-0·92; p=0·025). The anti-suicidal effects of clozapine and lithium have been substantiated, but might be less specific than previously thought. Effective pharmacological and psychological treatments of depression are important in prevention. Insufficient evidence exists to assess the possible benefits for suicide prevention of screening in primary care, in general public education and media guidelines. Other approaches that need further investigation include gatekeeper training, education of physicians, and internet and helpline support. The paucity of RCTs is a major limitation in the evaluation of preventive interventions.
In the quest for effective suicide prevention initiatives, no single strategy clearly stands above the others. Combinations of evidence-based strategies at the individual level and the population level should be assessed with robust research designs.
The Expert Platform on Mental Health, Focus on Depression, and the European College of Neuropsychopharmacology.
Suicide represents a major challenge to public mental health. In order to provide empirical evidence for prevention strategies, we hypothesized current levels of low socioeconomic status (SES) and ...high social isolation (SI) to be linked to increased suicide rates in N = 390 administrative districts since SES and SI are associated with mental illness. Effects of SES on suicide rates were further expected to be especially pronounced in districts with individuals showing high SI levels as SI reduces the reception of social support and moderates the impact of low SES on poor mental health. We linked German Microcensus data to register data on all 149,033 German suicides between 1997 and 2010 and estimated Prentice and Sheppard's model for aggregate data to test the hypotheses, accounting for spatial effect correlations. The findings reveal increases in district suicide rates by 1.20% (p < 0.035) for 1% increases of district unemployment, suicide rate decreases of -0.39% (p < 0.028) for 1% increases in incomes, increases of 1.65% (p < 0.033) in suicides for 1% increases in one-person-households and increases in suicide rates of 0.54% (p < 0.036) for 1% decreases in single persons' incomes as well as suicide rate increases of 3.52% (p < 0.000) for 1% increases in CASMIN scores of individuals who moved throughout the year preceding suicide. The results represent appropriate starting points for the development of suicide prevention strategies. For the definition of more precise measures, future work should focus on the causal mechanisms resulting in suicidality incorporating individual level data.
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