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Trajectories of internalizing disorders and behavioral addictions are still largely unknown. Research shows that both disorders are highly comorbid. Previous longitudinal studies have focused on associations between internalizing disorders and behavioral addictions using screening instruments. Our aim was to develop and examine a theory-based model of trajectories, according to which internalizing disorders foster symptoms of Internet use disorders, mediated by a reward deprivation and maladaptive emotion regulation. We applied clinically relevant measures for depression and social anxiety in a prospective longitudinal study with a 12-month follow-up investigation. On the basis of an at-risk population of 476 students (mean age = 14.99 years, SD = 1.99), we investigated the predictive influence of clinically relevant depression and social anxiety at baseline (t1) on Internet use disorder symptoms at 12-month follow-up (t2) using multiple linear regression analyses. Our results showed that both clinically relevant depression and social anxiety significantly predicted symptom severity of Internet use disorders one year later after controlling for baseline symptoms of Internet use disorders, gender and age. These results remained robust after including both depression and social anxiety simultaneously in the model, indicating an independent influence of both predictors on Internet use disorder symptoms. The present study enhances knowledge going beyond a mere association between internalizing disorders and Internet use disorders. To our knowledge, this is the first study investigating clinically relevant depression and social anxiety to predict future Internet use disorder symptoms at 12-month follow-up. In line with our model of trajectories, a significant temporal relationship between clinically relevant internalizing disorders and Internet use disorder symptoms at 12-month follow-up was confirmed. Further studies should investigate the mediating role of reward deprivation and maladaptive emotion regulation, as postulated in our model. One implication of these findings is that clinicians should pay particular attention to the increased risk of developing behavioral addictions for adolescents with depression and social anxiety.
Fitness and exercise may counteract the detrimental metabolic and mood adaptations during prolonged sitting. This study distinguishes the immediate effects of a single bout vs. work-load and intensity-matched repeated exercise breaks on subjective well-being, blood glucose, and insulin response (analyzed as area under the curve) during sedentary time; and assesses the influence of fitness and caloric intake on metabolic alterations during sedentariness. Eighteen women underwent cardiopulmonary exercise testing and three 4 h sitting interventions: two exercise interventions (70% VO2max, 30 min, cycle ergometer: (1) cycling prior to sitting; (2) sitting interrupted by 5 × 6 min cycling), and one control condition (sitting). Participants consumed one meal with ad libitum quantity (caloric intake), but standardized macronutrient proportion. Exercise breaks (4057 ± 2079 μU/mL·min) reduced insulin values compared to a single bout of exercise (5346 ± 5000 μU/mL·min) and the control condition (6037 ± 3571 μU/mL·min) (p ≤ 0.05). ANCOVA revealed moderating effects of caloric intake (519 ± 211 kilocalories) (p ≤ 0.01), but no effects of cardiorespiratory fitness (41.3 ± 4.2 mL/kg/min). Breaks also led to lower depression, but higher arousal compared to a no exercise control (p ≤ 0.05). Both exercise trials led to decreased agitation (p ≤ 0.05). Exercise prior to sitting led to greater peace of mind during sedentary behavior (p ≤ 0.05). Just being fit or exercising prior to sedentary behavior are not feasible to cope with acute detrimental metabolic changes during sedentary behavior. Exercise breaks reduce the insulin response to a meal. Despite their vigorous intensity, breaks are perceived as positive stimulus. Detrimental metabolic changes during sedentary time could also be minimized by limiting caloric intake.
Objective: Despite increased awareness of the serious epilepsy complication sudden unexpected death in epilepsy (SUDEP), a substantial population of people with epilepsy (PWE) remain poorly informed. Physicians indicate concern that SUDEP information may adversely affect patients' health and quality of life. We examined SUDEP awareness and the immediate and long-term effects of providing SUDEP information to PWE.
Methods: Baseline knowledge and behaviors among PWE and behavioral adjustments following the provision of SUDEP information were evaluated in a prospective, multicenter survey using the following validated scales: Neurological Disorders Depression Inventory for Epilepsy for depression symptoms, the EuroQoL five-dimension scale for health-related quality of life (HRQoL), a visual analog scale for overall health, the revised Epilepsy Stigma Scale for perceived stigma, and the Seizure Worry Scale for seizure-related worries. The prospective study collected data through semiquantitative interviews before (baseline), immediately after, and 3 months after the provision of SUDEP information.
Results: In total, 236 participants (mean age = 39.3 years, range = 18-77 years, 51.7% women) were enrolled, and 205 (86.9%) completed long-term, 3-month follow-up. One patient died from SUDEP before follow-up. No worsening symptoms from baseline to 3-month follow-up were observed on any scale. At baseline, 27.5% of participants were aware of SUDEP. More than 85% of participants were satisfied with receiving SUDEP information. Three quarters of participants were not concerned by the information, and >80% of participants recommended the provision of SUDEP information to all PWE. Although most patients reported no behavioral adjustments, 24.8% reported strong behavioral adjustments at 3-month follow-up.
Significance: The provision of SUDEP information has no adverse effects on overall health, HRQoL, depressive symptoms, stigma, or seizure worry among PWE, who appreciate receiving information. SUDEP information provision might improve compliance among PWE and reduce but not eliminate the increased mortality risk.
Menschen mit Epilepsie (engl. PWE) haben im Vergleich zur Allgemeinbevölkerung ein erhöhtes Risiko, vorzeitig zu versterben. Der plötzliche, unerwartete Tod bei Epilepsie (engl. Sudden Unexpected Death in Epilepsy, kurz SUDEP) stellt die häufigste epilepsiebedingte Todesursache dar. Obwohl das Thema in Fachkreisen zunehmende Aufmerksamkeit erfährt, die Empfehlung zur SUDEP Aufklärung zunehmend in nationalen Leitlinien aufgenommen wird, und der Patientenwunsch nach einer generellen SUDEP Aufklärung in verschiedenen Studien gezeigt werden konnte, besteht weiterhin ein Informationsdefizit unter PWE. Ursache hierfür scheint insbesondere die Sorge der behandelnden Neurolog*innen zu sein, Menschen mit Epilepsie übermäßig emotional zu belasten und ihre Lebensqualität zu mindern. Diese Studie untersucht sowohl das Vorwissen über SUDEP als auch unmittelbare sowie langfristige Auswirkungen einer SUDEP Aufklärung auf Erwachsene mit Epilepsie. Ziel ist mögliche negative Auswirkungen der Aufklärung sowie Auswirkungen auf das Verhalten aufzudecken. Aus diesem Zweck wählten wir ein prospektives, multizentrisches, longitudinales Studiendesign. Die Daten wurden in halbquantitativen Interviews vor (vor der Aufklärung), unmittelbar nach (nach der Aufklärung) und drei Monate nach (3-Monats Follow-up) der SUDEP Aufklärung erhoben. Um die direkte Vergleichbarkeit zwischen den Zeitpunkten zu ermöglichen wurden folgende validierte Instrumente verwendet: das Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) zur Erfassung depressiver Symptome, der EuroQoL (EQ-5D) zur Erfassung der gesundheitsbezogenen Lebensqualität (HRQoL), eine visuelle Analogskala (VAS) zur Erfassung des allgemeinen Gesundheitszustandes, die revised Epilepsy Stigma Scale (rESS) zur Erfassung der wahrgenommenen Stigmatisierung und die Seizure Worry Scale zur Erfassung anfallsbezogener Sorgen. Insgesamt wurden 236 Teilnehmende (Durchschnittsalter: 39,3 Jahre, Spannweite: 18-77 Jahre, 51,7 % Frauen) in die Studie eingeschlossen. 205 (86,9 %) der Teilnehmenden konnten erneut im Langzeit Follow-up nach drei Monaten befragt werden. Eine der Teilnehmenden verstarb im Zeitraum des Follow-ups an SUDEP. Keines der validierten Instrumente zeigte zwischen den Zeitpunkten vor der Aufklärung und dem 3-Monats Follow-up eine Verschlechterung. Vor der Aufklärung hatten nur 27,5 % der Teilnehmenden von SUDEP gehört, und nur 9,3 % gaben an, diese Informationen von ihrer bzw. ihrem Neurolog*in erhalten zu haben. Nach der Aufklärung gaben mehr als 85 % der Teilnehmenden an, mit der SUDEP Aufklärung zufrieden oder sehr zufrieden zu sein. Drei Viertel der Teilnehmenden gaben an, durch die Aufklärung nicht oder überhaupt nicht belastet zu sein. Mehr als 80 % der Teilnehmenden befürworteten eine generelle SUDEP Aufklärung für alle Menschen mit Epilepsie. Bei dem 3-Monats Follow-up gab die Mehrheit der Teilnehmenden an, keine Verhaltensänderung vorgenommen zu haben, 24,8 % berichteten jedoch von starken Verhaltensänderungen.
Unsere Studie zeigt, dass eine SUDEP Aufklärung keine negativen Auswirkungen auf den allgemeinen Gesundheitszustand, die HRQoL, depressive Symptome, krankheitsbezogene Stigmatisierung oder Sorgen vor Anfällen hat. Insgesamt zeigte sich eine hohe Zustimmung zur SUDEP Aufklärung. Eine generelle SUDEP Aufklärung könnte sich zudem positiv auf die Compliance auswirken und das Mortalitätsrisiko senken. Eine SUDEP Aufklärung bietet allerdings keinen sicheren Schutz vor SUDEP.
Background: Internet- and mobile-based interventions are most efficacious in the treatment of depression when they involve some form of guidance, but providing guidance requires resources such as trained personnel, who might not always be available (eg, during lockdowns to contain the COVID-19 pandemic).
Objective: The current analysis focuses on changes in symptoms of depression in a guided sample of patients with depression who registered for an internet-based intervention, the iFightDepression tool, as well as the extent of intervention use, compared to an unguided sample. The objective is to further understand the effects of guidance and adherence on the intervention’s potential to induce symptom change.
Methods: Log data from two convenience samples in German routine care were used to assess symptom change after 6-9 weeks of intervention as well as minimal dose (finishing at least two workshops). A linear regression model with changes in Patient Health Questionnaire (PHQ-9) score as a dependent variable and guidance and minimal dose as well as their interaction as independent variables was specified.
Results: Data from 1423 people with symptoms of depression (n=940 unguided, 66.1%) were included in the current analysis. In the linear regression model predicting symptom change, a significant interaction of guidance and minimal dose revealed a specifically greater improvement for patients who received guidance and also worked with the intervention content (β=–1.75, t=–2.37, P=.02), while there was little difference in symptom change due to guidance in the group that did not use the intervention. In this model, the main effect of guidance was only marginally significant (β=–.53, t=–1.78, P=.08).
Conclusions: Guidance in internet-based interventions for depression is not only an important factor to facilitate adherence, but also seems to further improve results for patients adhering to the intervention compared to those who do the same but without guidance.
Previous research has demonstrated the efficacy of psychological interventions to foster resilience. However, little is known about whether the cultural context in which resilience interventions are implemented affects their efficacy on mental health. Studies performed in Western (k = 175) and Eastern countries (k = 46) regarding different aspects of interventions (setting, mode of delivery, target population, underlying theoretical approach, duration, control group design) and their efficacy on resilience, anxiety, depressive symptoms, quality of life, perceived stress, and social support were compared. Interventions in Eastern countries were longer in duration and tended to be more often conducted in group settings with a focus on family caregivers. We found evidence for larger effect sizes of resilience interventions in Eastern countries for improving resilience (standardized mean difference [SMD] = 0.48, 95% confidence interval [CI] 0.28 to 0.67; p < 0.0001; 43 studies; 6248 participants; I2 = 97.4%). Intercultural differences should receive more attention in resilience intervention research. Future studies could directly compare interventions in different cultural contexts to explain possible underlying causes for differences in their efficacy on mental health outcomes.
Background: Inflammation is essential for the pathogenesis of multiple sclerosis (MS). While the immune system contribution to the development of neurological symptoms has been intensively studied, inflammatory biomarkers for mental symptoms such as depression are poorly understood in the context of MS. Here, we test if depression correlates with peripheral and central inflammation markers in MS patients as soon as the diagnosis is established. Methods: Forty-four patients were newly diagnosed with relapsing-remitting MS, primary progressive MS or clinically isolated syndrome. Age, gender, EDSS, C-reactive protein (CRP), albumin, white blood cells count in cerebrospinal fluid (CSF WBC), presence of gadolinium enhanced lesions (GE) on T1-weighted images and total number of typical MS lesion locations were included in linear regression models to predict Beck Depression Inventory (BDI) score and the depression dimension of the Symptoms Checklist 90-Revised (SCL90RD). Results: CRP elevation and GE predicted significantly BDI (CRP: p = 0.007; GE: p = 0.019) and SCL90RD (CRP: p = 0.004; GE: p = 0.049). The combination of both factors resulted in more pronounced depressive symptoms (p = 0.04). CSF WBC and EDSS as well as the other variables were not correlated with depressive symptoms. Conclusions: CRP elevation and GE are associated with depressive symptoms in newly diagnosed MS patients. These markers can be used to identify MS patients exhibiting a high risk for the development of depressive symptoms in early phases of the disease.
Background: Abnormalities of heart rate (HR) and its variability are characteristic of major depressive disorder (MDD). However, circadian rhythm is rarely taken into account when statistically exploring state or trait markers for depression. Methods: A 4-day electrocardiogram was recorded for 16 treatment-resistant patients with MDD and 16 age- and sex-matched controls before, and for the patient group only, after a single treatment with the rapid-acting antidepressant ketamine or placebo (clinical trial registration available on https://www.clinicaltrialsregister.eu/ with EUDRACT number 2016-001715-21). Circadian rhythm differences of HR and the root mean square of successive differences (RMSSD) were compared between groups and were explored for classification purposes. Baseline HR/RMSSD were tested as predictors for treatment response, and physiological measures were assessed as state markers. Results: Patients showed higher HR and lower RMSSD alongside marked reductions in HR amplitude and RMSSD variation throughout the day. Excellent classification accuracy was achieved using HR during the night, particularly between 2 and 3 a.m. (90.6%). A positive association between baseline HR and treatment response (r = 0.55, p = 0.046) pointed toward better treatment outcome in patients with higher HR. Heart rate also decreased significantly following treatment but was not associated with improved mood after a single infusion of ketamine. Limitations: Our study had a limited sample size, and patients were treated with concomitant antidepressant medication. Conclusion: Patients with depression show a markedly reduced amplitude for HR and dysregulated RMSSD fluctuation. Higher HR and lower RMSSD in depression remain intact throughout a 24-h day, with the highest classification accuracy during the night. Baseline HR levels show potential for treatment response prediction but did not show potential as state markers in this study.
Background: Meta-analysis of observational studies concluded that soft drinks may increase the risk of depression, while high consumption of coffee and tea may reduce the risk. Objectives were to explore the associations between the consumption of soft drinks, coffee or tea and: (1) a history of major depressive disorder (MDD) and (2) the severity of depressive symptoms clusters (mood, cognitive and somatic/vegetative symptoms). Methods: Cross-sectional and longitudinal analysis based on baseline and 12-month-follow-up data collected from four countries participating in the European MooDFOOD prevention trial. In total, 941 overweight adults with subsyndromal depressive symptoms aged 18 to 75 years were analyzed. History of MDD, depressive symptoms and beverages intake were assessed. Results: Sugar-sweetened soft drinks were positively related to MDD history rates whereas soft drinks with non-nutritive sweeteners were inversely related for the high vs. low categories of intake. Longitudinal analysis showed no significant associations between beverages and mood, cognitive and somatic/vegetative clusters. Conclusion: Our findings point toward a relationship between soft drinks and past MDD diagnoses depending on how they are sweetened while we found no association with coffee and tea. No significant effects were found between any studied beverages and the depressive symptoms clusters in a sample of overweight adults.
Risk stratification for bipolar disorder using polygenic risk scores among young high-risk adults
(2020)
Objective: Identifying high-risk groups with an increased genetic liability for bipolar disorder (BD) will provide insights into the etiology of BD and contribute to early detection of BD. We used the BD polygenic risk score (PRS) derived from BD genome-wide association studies (GWAS) to explore how such genetic risk manifests in young, high-risk adults. We postulated that BD-PRS would be associated with risk factors for BD.
Methods: A final sample of 185 young, high-risk German adults (aged 18–35 years) were grouped into three risk groups and compared to a healthy control group (n = 1,100). The risk groups comprised 117 cases with attention deficit hyperactivity disorder (ADHD), 45 with major depressive disorder (MDD), and 23 help-seeking adults with early recognition symptoms [ER: positive family history for BD, (sub)threshold affective symptomatology and/or mood swings, sleeping disorder]. BD-PRS was computed for each participant. Logistic regression models (controlling for sex, age, and the first five ancestry principal components) were used to assess associations of BD-PRS and the high-risk phenotypes.
Results: We observed an association between BD-PRS and combined risk group status (OR = 1.48, p < 0.001), ADHD diagnosis (OR = 1.32, p = 0.009), MDD diagnosis (OR = 1.96, p < 0.001), and ER group status (OR = 1.7, p = 0.025; not significant after correction for multiple testing) compared to healthy controls.
Conclusions: In the present study, increased genetic risk for BD was a significant predictor for MDD and ADHD status, but not for ER. These findings support an underlying shared risk for both MDD and BD as well as ADHD and BD. Improving our understanding of the underlying genetic architecture of these phenotypes may aid in early identification and risk stratification.