Can there be delusions of pain?

Abstract: Jennifer Radden argues that there cannot be delusional pain in depression, putting forward three arguments: the argument from falsehood, the argument from epistemic irrationality, and the argument from incongruousness. Whereas delusions are false, epistemically irrational, and incongruous with the person’s experience, feeling pain from the first-person perspective cannot be false or irrational, and is congruous with the person’s experience in depression. In this commentary on Radden’s paper, we share her scepticism about the notion of delusional pain, but we find the arguments from falsehood and incongruousness ultimately unconvincing, given that delusions are not always false or incongruous. Rather, we develop the argument from epistemic irrationality, suggesting that, although some aspects of pain (its cognitive and emotional components) may exhibit informational plasticity and other characteristics shared by mental states that can be assessed for their rationality, the sensory component of pain does not.Keywords: Delusion; Pain; Epistemic Irrationality; Incongruousness; Falsity; Depression Riassunto: Jennifer Radden sostiene che non può esserci dolore delirante nella depressione, proponendo tre argomentazioni che si basano sulla falsità, l'irrazionalità epistemica e l'incongruenza. Mentre i deliri sono falsi, epistemicamente irrazionali e incongruenti con l'esperienza della persona, provare dolore in prima persona non può essere falso o irrazionale ed è congruo con l'esperienza di una persona che è depressa. In questo commento all’articolo di Radden, condividiamo il suo scetticismo nei confronti della nozione di dolore delirante, ma troviamo le argomentazioni basate sulla falsità e l’incongruenza in ultima analisi non del tutto convincenti, dato che i deliri non sono sempre falsi o incongrui. Piuttosto, sviluppiamo l’argomentazione basata sull’irrazionalità epistemica, suggerendo che, sebbene alcuni aspetti del dolore (le sue componenti cognitive ed emotive) possano esibire plasticità e altre caratteristiche condivise da stati mentali che vengono valutati per la loro razionalità, la componente sensoriale del dolore non lo fa.Parole chiave: Delirio; Dolore; Irrazionalità epistemica; Incongruenza; Falsità; Depression

Physical Exercise in Major Depression: Reducing the Mortality Gap While Improving Clinical Outcomes

Major depression shortens life while the effectiveness of frontline treatments remains modest. Exercise has been shown to be effective both in reducing mortality and in treating symptoms of major depression, but it is still underutilized in clinical practice, possibly due to prevalent misperceptions. For instance, a common misperception is that exercise is beneficial for depression mostly because of its positive effects on the body (“from the neck down”), whereas its effectiveness in treating core features of depression (“from the neck up”) is underappreciated. Other long-held misperceptions are that patients suffering from depression will not engage in exercise even if physicians prescribe it, and that only vigorous exercise is effective. Lastly, a false assumption is that exercise may be more harmful than beneficial in old age, and therefore should only be recommended to younger patients. This narrative review summarizes relevant literature to address the aforementioned misperceptions and to provide practical recommendations for prescribing exercise to individuals with major depression

Risk Prediction Models for Depression in Community-Dwelling Older Adults

Objective: To develop streamlined Risk Prediction Models (Manto RPMs) for late-life depression. Design: Prospective study. Setting: The Survey of Health, Ageing and Retirement in Europe (SHARE) study. Participants: Participants were community residing adults aged 55 years or older. Measurements: The outcome was presence of depression at a 2-year follow up evaluation. Risk fac-tors were identified after a literature review of longitudinal studies. Separate RPMs were developed in the 29,116 participants who were not depressed at baseline and in the combined sample of 39,439 of non-depressed and depressed subjects. Models derived from the combined sample were used to develop a web-based risk calculator. Results: The authors identified 129 predictors of late-life depression after reviewing 227 studies. In non-depressed participants at baseline, the RPMs based on regression and Least Absolute Shrinkage and Selection Operator (LASSO) penalty (34 and 58 predictors, respectively) and the RPM based on Artificial Neural Networks (124 predictors) had a similar perfor-mance (AUC: 0.730-0.743). In the combined depressed and non-depressed par-ticipants at baseline, the RPM based on neural networks (35 predictors; AUC: 0.807; 95% CI: 0.80-0.82) and the model based on linear regression and LASSO penalty (32 predictors; AUC: 0.81; 95% CI: 0.79-0.82) had satisfactory accu-racy. Conclusions: The Manto RPMs can identify community-dwelling older individuals at risk for developing depression over 2 years. A web-based calcula-tor based on the streamlined Manto model is freely available at https://manto. unife.it/for use by individuals, clinicians, and policy makers and may be used to target prevention interventions at the individual and the population levels

The relationship between demoralization and depressive symptoms among patients from the general hospital: Network and exploratory graph analysis

Introduction: Depression and demoralization are highly prevalent among individuals with physical illnesses but their relationship is still unclear. Objective: To examine the relationship between clinical features of depression and demoralization with the network approach to psychopathology. Methods: Participants were recruited from the medical wards of a University Hospital in Italy. The Demoralization Scale (DS) was used to assess demoralization, while the Patient Health Questionnaire-9 (PHQ-9) to assess depressive symptoms. The structure of the depression-demoralization symptom network was examined and complemented by the analysis of topological overlap and Exploratory Graph Analysis (EGA) to identify the most relevant groupings (communities) of symptoms and their connections. The stability of network models was estimated with bootstrap procedures and results were compared with factor analysis. Results: Life feeling pointless, low mood/discouragement, hopelessness and feeling trapped were among the most central features of the network. EGA identified four communities: (1) Neurovegetative Depression, (2) Loss of purpose, (3) Frustrated Isolation and (4) Low mood and morale. Loss of purpose and low mood/morale were largely connected with other communities through anhedonia, hopelessness and items related to isolation and lack of emotional control. Results from EGA displayed good stability and were comparable to those from factor analysis. Limitations: Cross-sectional design; sample heterogeneity Conclusions: Among general hospital inpatients, features of depression and demoralization are independent, with the exception of low mood and self-reproach. The identification of symptom groupings around entrapment and helplessness may provide a basis for a dimensional characterization of depressed/demoralized patients, with possible implications for treatment

Association between Type-D Personality and Affective (Anxiety, Depression, Post-traumatic Stress) Symptoms and Maladaptive Coping in Breast Cancer Patients: A Longitudinal Study

Background: Type-D (distressed) personality has not been prospectively explored for its association with psychosocial distress symptoms in breast cancer patients. Objective: The objective of the study was to test the hypothesis that Type-D personality can be associated with psychosocial distress variables in cancer over a 2-point period (6 month-follow-up). Aims: The aim of the study was to analyze the role of Type-D personality in relation to anxiety, depression, post-traumatic stress symptoms, general distress, and maladaptive coping among cancer patients. Methods: 145 breast cancer patients were assessed within 6 months from diagnosis (T0) and again 6 months later (T1). The Type-D personality Scale, the Hospital Anxiety and Depression Scale, Depression subscale (HAD-D), the Brief Symptom Inventory (BSI-18) Anxiety subscale, the Distress Thermometer (DT), the Post-traumatic Symptoms (PTS) Impact of Event Scale (IES), and the Mini Mental Adjustment to Cancer (Mini-MAC) Anxious Preoccupation and Hopelessness scales were individually administered at T0 and T1. Results: One-quarter of cancer patients met the criteria for Type-D personality, which was stable over the follow-up time. The two main constructs of TypeD personality, namely social inhibition (SI) and negative affectivity (NA), were related to anxiety, depression, PTS, BSI-general distress and maladaptive coping (Mini-MAC anxious preoccupation and hopelessness). In regression analysis, Type-D SI was the most significant factor associated with the above-mentioned psychosocial variables, both at T0 and T1. Conclusion: Likewise other medical disorders (especially cardiology), Type-D personality has been confirmed to be a construct significantly related to psychosocial distress conditions and maladaptive coping that are usually part of assessment and intervention in cancer care. More attention to personality issues is important in oncology

Neuroactive Steroids in First-Episode Psychosis: A Role for Progesterone?

Neuroactive steroids may play a role in the pathophysiology of psychotic disorders, but few studies examined this issue. We compared serumlevels of cortisol, testosterone, dehydroepiandrosterone, and progesterone between a representative sample of firstepisode psychosis (FEP) patients and age- and gender-matched healthy subjects. Furthermore, we analyzed the associations between neuroactive steroids levels and the severity of psychotic symptom dimensions.Male patients had lower levels of progesterone than controls

A public early intervention approach to first-episode psychosis: treated incidence over 7 years in the Emilia-Romagna region.

Aim: To estimate the treated incidence of individuals with first-episode psychosis (FEP) who contacted the Emilia-Romagna public mental healthcare system (Italy); to examine the variability of incidence and user characteristics across centres and years. Methods: We computed the raw treated incidence in 2013–2019, based on FEP users aged 18–35, seen within or outside the regional program for FEP. We modelled FEP incidence across 10 catchment areas and 7 years using Bayesian Poisson and Negative Binomial Generalized Linear Models of varying complexity. We explored associations between user characteristics, study centre and year comparing variables and socioclinical clusters of subjects. Results: Thousand three hundred and eighteen individuals were treated for FEP (raw incidence: 25.3 / 100.000 inhabitant year, IQR: 15.3). A Negative Binomial location-scale model with area, population density and year as predictors found that incidence and its variability changed across centres (Bologna: 36.55; 95% CrI: 30.39–43.86; Imola: 3.07; 95% CrI: 1.61–4.99) but did not follow linear temporal trends or density. Centers were associated with different user age, gender, migrant status, occupation, living conditions and cluster distribution. Year was associated negatively with HoNOS score (R = 0.09, p < .001), duration of untreated psychosis (R = 0.12, p < .001) and referral type. Conclusions: The Emilia-Romagna region presents a relatively high but variable incidence of FEP across areas, but not in time. More granular information on social, ethnic and cultural factors may increase the level of explanation and prediction of FEP incidence and characteristics, shedding light on social and healthcare factors influencing FEP

The body of evidence of late-life depression: the complex relationship between depressive symptoms, movement, dyspnea and cognition

Background: Physical symptoms play an important role in late-life depression and may contribute to residual symptomatology after antidepressant treatment. In this exploratory study, we examined the role of specific bodily dimensions including movement, respiratory functions, fear of falling, cognition, and physical weakness in older people with depression.Methods: Clinically stable older patients with major depression within a Psychiatric Consultation-Liaison program for Primary Care underwent comprehensive assessment of depressive symptoms, instrumental movement analysis, dyspnea, weakness, activity limitations, cognitive function, and fear of falling. Network analysis was performed to explore the unique adjusted associations between clinical dimensions.Results: Sadness was associated with worse turning and walking ability and movement transitions from walking to sitting, as well as with worse general cognitive abilities. Sadness was also connected with dyspnea, while neurovegetative depressive burden was connected with activity limitations.Discussion: Limitations of motor and cognitive function, dyspnea, and weakness may contribute to the persistence of residual symptoms of late-life depression

Insight in cognitive impairment assessed with the Cognitive Assessment Interview in a large sample of patients with schizophrenia

The Cognitive Assessment Interview (CAI) is an interview-based scale measuring cognitive impairment and its impact on functioning in subjects with schizophrenia (SCZ). The present study aimed at assessing, in a large sample of SCZ (n = 601), the agreement between patients and their informants on CAI ratings, to explore patients' insight in their cognitive deficits and its relationships with clinical and functional indices. Agreement between patient- and informant-based ratings was assessed by the Gwet's agreement coefficient. Predictors of insight in cognitive deficits were explored by stepwise multiple regression analyses. Patients reported lower severity of cognitive impairment vs. informants. A substantial to almost perfect agreement was observed between patients' and informants' ratings. Lower insight in cognitive deficits was associated to greater severity of neurocognitive impairment and positive symptoms, lower severity of depressive symptoms, and older age. Worse real-life functioning was associated to lower insight in cognitive deficit, worse neurocognitive performance, and worse functional capacity. Our findings indicate that the CAI is a valid co-primary measure with the interview to patients providing a reliable assessment of their cognitive deficits. In the absence of informants with good knowledge of the subject, the interview to the patient may represent a valid alternative