Heart rate variability (HRV) reflects the capacity to adapt to internal and environmental changes. Decreased HRV may indicate inadequate adaptive capacity. This study aims to investigate the ...relationship between the heart and brain's adaptive abilities, both at rest and when negative emotions are stimulated in depression.
The study included 30 patients (20 female, 10 male) with major depression (mean age = 29.8 ± 7.8) and 30 healthy controls, all of whom had similar characteristics in terms of age and gender, selected through convenience sampling. The patients were drug-free at the time of the assessment. Holter recordings were obtained while subjects watched videos stimulating anger, fear, sadness, and a neutral video, and at rest, HRV parameters were calculated. To control for interindividual variability and account for paired sampling, linear mixed effects models were employed.
Watching the ‘sadness video’ led to an increase in low frequency band (LF) LF change (Control vs depression); Difference:-620.80 df:107 t:-2.093 P:0.039 and LF/high frequency band ratio (LF/HF) LF/HF change (control vs depression group); Difference:-1.718 df:105 t:-2.374 P:0.020 in the depression group. The video led to a decrease in LF and LF/HF in the controls. Although the differences between the conditions and interactions with the group were significant, the effects were independent of depression severity.
In depression, brain's regulatory effect on the heart differed from controls in the sadness condition, possibly due to increased arousal levels in subjects with depression and their inability to suppress sympathetic activity when a state of sadness is stimulated.
•First HRV study in depression, using mixed effect model & event-related stimulation.•The sadness video is related to different values in LF and LF/HF between the groups.•Depressed people are unable to suppress sympathetic system activity in sadness.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Objective: Patients with head and neck cancer (HNC) report some of the highest levels of psychological distress amid managing their disease as well as debilitating and disfiguring treatment side ...effects. Fear of cancer recurrence (FCR) is a top unmet need and concern of patients with HNC. Prior research suggests elevated symptoms of anxiety and depression are potential antecedents to FCR, but findings have been limited in HNC populations. The aim of the present study was to examine the early level and change in symptoms of anxiety and depression in relation to later change in FCR among patients with HNC. Method: The study is a secondary analysis of data collected from 2011 to 2014 through the Head and Neck 5000 Study in the United Kingdom. A sample of 4,891 patients completed self-report longitudinal assessments of anxiety and depression symptoms at baseline, 4, and 12 months and FCR at 4 and 12 months. Results: Utilizing multiple indicator latent change score modeling, results revealed baseline anxiety and increases in anxiety from baseline to 4 months were both positively associated with increases in FCR from 4 to 12 months. Neither baseline depression nor change in depression from baseline to 4 months were significantly associated with FCR change. Conclusions: Findings indicate that early level and increases in symptoms of anxiety were markers of increased FCR in patients with HNC. Future research may consider anxiety as a unique antecedent and maintaining factor of FCR and targeting anxiety early in the cancer trajectory may have downstream effects on FCR development. (PsycInfo Database Record (c) 2024 APA, all rights reserved) (Source: journal abstract)
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CEKLJ, FFLJ, NUK, ODKLJ, PEFLJ, UPUK
The high global prevalence of depression, together with the recent acceleration of remote care owing to the COVID-19 pandemic, has prompted increased interest in the efficacy of digital interventions ...for the treatment of depression. We provide a summary of the latest evidence base for digital interventions in the treatment of depression based on the largest study sample to date. A systematic literature search identified 83 studies (N = 15,530) that randomly allocated participants to a digital intervention for depression versus an active or inactive control condition. Overall heterogeneity was very high (I2 = 84%). Using a random-effects multilevel metaregression model, we found a significant medium overall effect size of digital interventions compared with all control conditions (g = .52). Subgroup analyses revealed significant differences between interventions and different control conditions (WLC: g = .70; attention: g = .36; TAU: g = .31), significantly higher effect sizes in interventions that involved human therapeutic guidance (g = .63) compared with self-help interventions (g = .34), and significantly lower effect sizes for effectiveness trials (g = .30) compared with efficacy trials (g = .59). We found no significant difference in outcomes between smartphone-based apps and computer- and Internet-based interventions and no significant difference between human-guided digital interventions and face-to-face psychotherapy for depression, although the number of studies in both comparisons was low. Findings from the current meta-analysis provide evidence for the efficacy and effectiveness of digital interventions for the treatment of depression for a variety of populations. However, reported effect sizes may be exaggerated because of publication bias, and compliance with digital interventions outside of highly controlled settings remains a significant challenge.
Public Significance StatementThis meta-analysis demonstrates the efficacy of digital interventions in the treatment of depression for a variety of populations. Additionally, it highlights that digital interventions may have a valuable role to play in routine care, most notably when accompanied by human guidance. However, compliance with digital interventions remains a major challenge, with little more than 50% of participants completing the full intervention on average.
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CEKLJ, FFLJ, NUK, ODKLJ, PEFLJ, UPUK
Increasing evidence implies a possible causal link between periodontitis and neuropsychiatric disorders, such as Alzheimer's disease (AD) and major depression (MD). A possible mechanism underlying ...such a link can be explained by neuroinflammation induced by chronic systemic inflammation. This review article focuses on an overview of the biological and epidemiological evidence for a feasible causal link of periodontitis to neuropsychiatric disorders, including AD, MD, Parkinson's disease, and schizophrenia, as well as the neurological event, ischemic stroke. If there is such a link, a broad spectrum of neuropsychiatric disorders associated with neuroinflammation could be preventable and modifiable by simple daily dealings for oral hygiene. However, the notion that periodontitis is a risk factor for neuropsychiatric disorders remains to be effectively substantiated.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Depressive and anxiety disorders are severe and disabling conditions that result in substantial cost and global societal burden. Accurate and efficient identification is thus vital to proper ...diagnosis and treatment of these disorders. The Inventory of Depression and Anxiety Symptoms (IDAS) is a reliable and well-validated measure that provides dimensional assessment of both mood and anxiety disorder symptoms. The current study examined the clinical utility of the IDAS by establishing diagnostic cutoff scores and severity ranges using a large mixed sample (N = 5,750). Results indicated that the IDAS scales are good to excellent predictors of their associated Structured Clinical Interview for DSM-IV diagnoses. These findings were replicated using Diagnostic and Statistical Manual of Mental Disorders–Fifth edition (DSM-5) criteria assessed via the Mini-International Neuropsychiatric Interview. We provide three cutoff scores for each scale that can be used differentially depending on the goal of their use: screening, efficiency, or diagnosis confirmation. The identified severity ranges allow users to characterize individuals as mild, moderate, or severe, providing clinical information beyond diagnostic status. Finally, the 10-item IDAS Dysphoria scale and 20-item General Depression scale demonstrate strong ability to predict internalizing diagnoses and may represent an efficient way to screen for the presence of internalizing psychopathology.
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NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
•Intravenous administration of ketamine is not associated with anti-cognitive effects.•IV ketamine in patients with TRD may have pro-cognitive effects in brain areas associated with visual learning ...and working memory.•Future studies should focus on cognition as a domain of depressive psychopathology.•Anxious and non-anxious TRD patients may vary in their response to intravenous ketamine treatment.
Replicated evidence has documented cognitive deficits in populations with treatment-resistant depression (TRD). Approximately 40 % of patients with MDD present with impairment of one or more cognitive domains. As such, there is an unmet need to discover treatments that have pro-cognitive effects in TRD patients. Ketamine has demonstrated efficacy as a rapid-onset intervention for the treatment of depression. The objective of the current review was to assess the effects of ketamine on cognition in TRD patients. We systematically searched PubMed, Google Scholar and PsycINFO between database inception to March 24th, 2020.
We identified five studies that evaluated cognition in TRD populations following ketamine treatment. All studies included a 0.5 mg/kg subanesthetic intravenous (IV) administration of ketamine. One study found significant improvements in complex (p = .008) and simple (p = .027) working memory and one study found improvements in visual learning memory following IV ketamine infusions (p = .014). Improvements in speed of processing and verbal learning memory were observed in anxious TRD participants only. Importantly, a subanesthetic dose of IV ketamine does not worsen cognitive function.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Three alternative views regarding how Major Depressive Disorder (MDD) alters emotional reactivity have been featured in the literature: positive attenuation (reduced positive reactivity), negative ...potentiation (increased negative reactivity), and emotion context insensitivity (ECI; reduced positive and negative reactivity). Although empirical studies have accumulated on emotional reactivity in MDD, this report is to our knowledge the first systematic quantitative review of this topic area. In omnibus analyses of 19 laboratory studies comparing the emotional reactivity of healthy individuals to that of individuals with MDD, MDD was characterized by reduced emotional reactivity to both positively and negatively valenced stimuli, with the reduction larger for positive stimuli (d=−.53) than for negative stimuli (d=−.25). Results were similar when 3 major emotion response systems (self-reported experience, expressive behavior, and peripheral physiology) were analyzed individually. The ECI view of emotional reactivity in MDD is well supported by laboratory data. Implications for the understanding of emotions in MDD are discussed.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
The intent of this work was to examine the intersection of COVID-19 fear with social vulnerabilities and mental health consequences among adults living in the United States. Data are from a ...nationally representative sample (n = 10,368) of U.S. adults surveyed online during demographic subgroups (gender, age, income, race and ethnicity, geography). The sample week of March 23, 2020. The sample was poststratification weighted to ensure a balanced representation across social and demographic subgroups (gender, age, income, race or ethnicity, geography). The sample comprised 51% female; 23% non-White; 18% Hispanic; 25% of households with children under 18 years of age; 55% unmarried; and nearly 20% unemployed, laid off, or furloughed at the time of the interview. Respondents were fearful, averaging a score of nearly 7 on a scale of 10 when asked how fearful they were of COVID-19. Preliminary analysis suggests clear spatial diffusion of COVID-19 fear. Fear appears to be concentrated in regions with the highest reported COVID-19 cases. Significant differences across several U.S. census regions are noted (p < .01). Additionally, significant bivariate relationships were found between socially vulnerable respondents (female, Asians, Hispanic, foreign-born, families with children) and fear, as well as with mental health consequences (anxiety and depressive symptoms). Depressive symptoms, on average, were high (16+ on the Center for Epidemiologic Studies Depression scale), and more than 25% of the sample reported moderate to severe anxiety symptoms. More in-depth psychosocial research is needed using nationally representative samples that can help to inform potential mental health risks, as well as by targeting specific mental health interventions.
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CEKLJ, FFLJ, NUK, ODKLJ, PEFLJ, UPUK
Abstract Background The symptoms for Major Depression (MD) defined in the DSM-5 differ markedly from symptoms assessed in common rating scales, and the empirical question about core depression ...symptoms is unresolved. Here we conceptualize depression as a complex dynamic system of interacting symptoms to examine what symptoms are most central to driving depressive processes. Methods We constructed a network of 28 depression symptoms assessed via the Inventory of Depressive Symptomatology (IDS-30) in 3,463 depressed outpatients from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. We estimated the centrality of all IDS-30 symptoms, and compared the centrality of DSM and non-DSM symptoms; centrality reflects the connectedness of each symptom with all other symptoms. Results A network with 28 intertwined symptoms emerged, and symptoms differed substantially in their centrality values. Both DSM symptoms (e.g., sad mood) and non-DSM symptoms (e.g., anxiety) were among the most central symptoms, and DSM criteria were not more central than non-DSM symptoms. Limitations Many subjects enrolled in STAR*D reported comorbid medical and psychiatric conditions which may have affected symptom presentation. Conclusion The network perspective neither supports the standard psychometric notion that depression symptoms are equivalent indicators of MD, nor the common assumption that DSM symptoms of depression are of higher clinical relevance than non-DSM depression symptoms. The findings suggest the value of research focusing on especially central symptoms to increase the accuracy of predicting outcomes such as the course of illness, probability of relapse, and treatment response.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
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