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Insomnia is common, affecting approximately 10% of the population. In addition to night-time sleep difficulties, insomnia disorder requires the presence of concomitant daytime impacts, making it a 24-hour problem. It is not surprising, therefore, that insomnia disorder is associated with significant impacts to quality of life and economic costs. Many patients with insomnia also have comorbid physical and/or mental health disorders, and sometimes also other sleep disorders. This chapter reviews the key features, prevalence, and consequences of insomnia disorder, and provides background information to aid clinicians as they begin to think about formulating treatment approaches.
Recent advances in clinical prediction for diarrhoeal aetiology in low- and middle-income countries have revealed that the addition of weather data to clinical data improves predictive performance. However, the optimal source of weather data remains unclear. We aim to compare the use of model estimated satellite- and ground-based observational data with weather station directly observed data for the prediction of aetiology of diarrhoea. We used clinical and etiological data from a large multi-centre study of children with moderate to severe diarrhoea cases to compare their predictive performances. We show that the two sources of weather conditions perform similarly in most locations. We conclude that while model estimated data is a viable, scalable tool for public health interventions and disease prediction, given its ease of access, directly observed weather station data is likely adequate for the prediction of diarrhoeal aetiology in children in low- and middle-income countries.
We emphasise the existence of two distinct neurophysiological subtypes in schizophrenia, characterised by different sites of initial grey matter loss. We review evidence for potential neuromolecular mechanisms underlying these subtypes, proposing a biologically based disease classification approach to unify macro- and micro-scale neural abnormalities of schizophrenia.
Edited by
Allan Young, Institute of Psychiatry, King's College London,Marsal Sanches, Baylor College of Medicine, Texas,Jair C. Soares, McGovern Medical School, The University of Texas,Mario Juruena, King's College London
Among patients with mood disorders, suicidal thinking, planning, and acts are common, particularly during major depressive episodes or mixed episodes. In this chapter, the epidemiology and aetiology of suicidal behaviour in major depressive disorder and bipolar disorder are outlined, followed by the relevant risk factors, and risk assessment of suicide. Finally, the latest evidence on treatments is discussed from a pharmacological, psychological and physical perspective.
Edited by
Allan Young, Institute of Psychiatry, King's College London,Marsal Sanches, Baylor College of Medicine, Texas,Jair C. Soares, McGovern Medical School, The University of Texas,Mario Juruena, King's College London
‘Psychotic disorders’ is an umbrella term for psychiatric conditions featuring psychosis, including mood disorders. Despite the prominence of psychotic symptoms across the psychotic spectrum, a distinction between schizophrenia and affective psychoses has been historically established. Findings from genetic studies support the aetiological overlap between affective and non-affective psychosis, although poor characterisation of the schizoaffective population still poses a challenge. Likewise, literature points to shared environmental risk factors between bipolar disorder and schizophrenia. Neuroimaging evidence suggest significant similarities in the pathophysiology of the brain between affective and non-affective psychosis. An overlap is also observed in other biological and behavioural illness markers, as well as in the pharmacotherapy of psychotic disorders. Current diagnostic entities may not accurately delineate the aetiology and pathophysiology of these conditions. Modern classification approaches, such as the RDoC framework, propose the adoption of aetiological factors and pathophysiological evidence to characterise patients, rather than categorical diagnoses based on symptoms.
Environmental exposures are known to be associated with pathogen transmission and immune impairment, but the association of exposures with aetiology and severity of community-acquired pneumonia (CAP) are unclear. A retrospective observational study was conducted at nine hospitals in eight provinces in China from 2014 to 2019. CAP patients were recruited according to inclusion criteria, and respiratory samples were screened for 33 respiratory pathogens using molecular test methods. Sociodemographic, environmental and clinical factors were used to analyze the association with pathogen detection and disease severity by logistic regression models combined with distributed lag nonlinear models. A total of 3323 CAP patients were included, with 709 (21.3%) having severe illness. 2064 (62.1%) patients were positive for at least one pathogen. More severe patients were found in positive group. After adjusting for confounders, particulate matter (PM) 2.5 and 8-h ozone (O3-8h) were significant association at specific lag periods with detection of influenza viruses and Klebsiella pneumoniae respectively. PM10 and carbon monoxide (CO) showed cumulative effect with severe CAP. Pollutants exposures, especially PM, O3-8h, and CO should be considered in pathogen detection and severity of CAP to improve the clinical aetiological and disease severity diagnosis.
We examined whether cannabis use contributes to the increased risk of psychotic disorder for non-western minorities in Europe.
Methods
We used data from the EU-GEI study (collected at sites in Spain, Italy, France, the United Kingdom, and the Netherlands) on 825 first-episode patients and 1026 controls. We estimated the odds ratio (OR) of psychotic disorder for several groups of migrants compared with the local reference population, without and with adjustment for measures of cannabis use.
Results
The OR of psychotic disorder for non-western minorities, adjusted for age, sex, and recruitment area, was 1.80 (95% CI 1.39–2.33). Further adjustment of this OR for frequency of cannabis use had a minimal effect: OR = 1.81 (95% CI 1.38–2.37). The same applied to adjustment for frequency of use of high-potency cannabis. Likewise, adjustments of ORs for most sub-groups of non-western countries had a minimal effect. There were two exceptions. For the Black Caribbean group in London, after adjustment for frequency of use of high-potency cannabis the OR decreased from 2.45 (95% CI 1.25–4.79) to 1.61 (95% CI 0.74–3.51). Similarly, the OR for Surinamese and Dutch Antillean individuals in Amsterdam decreased after adjustment for daily use: from 2.57 (95% CI 1.07–6.15) to 1.67 (95% CI 0.62–4.53).
Conclusions
The contribution of cannabis use to the excess risk of psychotic disorder for non-western minorities was small. However, some evidence of an effect was found for people of Black Caribbean heritage in London and for those of Surinamese and Dutch Antillean heritage in Amsterdam.
Edited by
David Kingdon, University of Southampton,Paul Rowlands, Derbyshire Healthcare NHS foundation Trust,George Stein, Emeritus of the Princess Royal University Hospital
Anxiety symptoms and anxiety disorders are common in community settings and primary and secondary medical care. Anxiety symptoms are often mild and only transient, but many people are troubled by severe symptoms that cause both considerable personal distress and a marked impairment in social and occupational function. The principal anxiety disorders are currently considered to comprise panic disorder, generalised anxiety disorder, social anxiety disorder, agoraphobia, specific phobias, separation anxiety disorder and selective mutism. Additional conditions (not considered further here) include substance/medication-induced anxiety disorder, anxiety disorder due to another medical condition, other specified anxiety disorder and unspecified anxiety disorder. Together, anxiety disorders constitute the most frequent mental disorders, with an estimated 12-month prevalence of approximately 10–14 per cent.
Although the societal impact of anxiety disorders is substantial, many of those who could benefit from psychological or pharmacological treatment are neither recognised nor treated. Recognition relies on maintaining a keen awareness of the psychological and physical symptoms of anxiety disorders, and accurate diagnosis rests on identifying the pathognomonic features of specific conditions.
This chapter presents a new, annotated translation of an unusual treatise, commonly known by the Latin name De fluviis, preserved among the works of Plutarch and probably written between AD 100 and 250. The chapter introduction discusses the work’s date and authorship; notes the author’s preference for stories about Greece and places to the east as far afield as India, as well as his tendency to misidentify his literary sources when he does not actually invent them; and explains the repetitive organization of its 25 sections. These offer mythological explanations (often erotic, homicidal, or suicidal) for changes of names in rivers and mountains, as shaped by the recurrent themes of retribution and vindication of those who suffer injustice. On a factual level, the geography is lamentable, but the author’s examples of stones and plants with miraculous properties—often related to the fates of the individuals in the stories, though sometimes to the intrinsic properties of the rivers they feature—are sometimes confirmed by other sources. Presumably ‘the author knew his audience’.
Edited by
David Kingdon, University of Southampton,Paul Rowlands, Derbyshire Healthcare NHS foundation Trust,George Stein, Emeritus of the Princess Royal University Hospital
Psychosis is characterized by distortions in thinking (e.g. fixed, false beliefs), in perception (e.g. hearing voices or less commonly seeing things that are not there), emotions, language, sense of self and behaviour. Although it used to be thought that schizophrenia was a discrete entity, much recent evidence has shown that this is not so. Schizophrenia does not have clear boundaries; rather, it merges into schizoaffective disorder and bipolar disorder on the one hand and into schizotypal and paranoid personality on the other. It is best considered as the severe form of psychosis. The different psychotic disorders share some of the same risk factors and are sometimes associated with cognitive impairments, co-existing mental health conditions, substance misuse and physical health problems; the latter often develop over the course of the illness.
In this chapter, we review genetic and then environmental risk factors for psychosis. Much knowledge has accumulated regarding both in the last two decades. We now know that the aetiology of psychosis is multifactorial. Genetic and environmental factors occasionally act alone but usually in combination as well as operate at a number of levels and over time to influence an individual’s likelihood of developing psychotic symptoms.
Edited by
David Kingdon, University of Southampton,Paul Rowlands, Derbyshire Healthcare NHS foundation Trust,George Stein, Emeritus of the Princess Royal University Hospital
Eating disorders are complex and serious illnesses that can result in physical and psychiatric comorbidities, medical emergencies and progressive health consequences. Although general psychiatrists may be called upon to assist in emergencies or differential diagnoses, training in this area has been limited. The author attempts to fill the gap by providing a summary of the most recent advances in the field of eating disorders in this chapter to help orient trainees and general psychiatrists. This chapter provides an overview of the most recent changes to the DSM-5 and ICD-11 diagnostic categories for eating disorders, as well as their epidemiology, aetiology and treatment, including the management of complications and life-threatening medical emergencies.
The chapter summarises recent advances in the genetic and neurobiological understanding of eating disorders, as well as emerging new research. These scientific advances have the potential to contribute to the development of new, more-effective eating disorder treatments in the future.
Approximately 10–18% of the adult population experience some form of anxiety when viewing clusters of small holes. ‘Trypophobia’ has been the subject of much discussion within the peer-reviewed literature, news outlets, health-related websites and social media. However, there is some scepticism surrounding the phenomenon. It is often stated that the condition is not recognised by the American Psychiatric Association, and not listed as a phobia in the DSM-5. It has also been claimed that trypophobia is no more than a particularly successful internet meme. In this editorial, I argue that such criticisms are misplaced. There is, for instance, no list of phobias in the DSM-5; only criteria that determine phobia classification. Using these criteria, as well as personal testimonials, trypophobia is clearly a phobia. Furthermore, the meme hypothesis cannot account for the fact that the phenomenon existed long before the internet.
The non-reporting of negative studies results in a scientific record that is incomplete, one-sided and misleading. The consequences of this range from inappropriate initiation of further studies that might put participants at unnecessary risk to treatment guidelines that may be in error, thus compromising day-to-day clinical practice.
Several longitudinal studies have cast doubt on the aetiological overlap between child and adult attention-deficit hyperactivity disorder (ADHD). However, a lack of genetically sensitive data following children across adulthood precludes direct evaluation of aetiological overlap between child and adult ADHD.
Aims
We circumvent the existing gap in longitudinal data by exploring genetic overlap between maternal (adult) and offspring (child) ADHD and comorbid symptoms in an extended family cohort.
Method
Data were drawn from the Norwegian Mother, Father and Child Cohort Study, a Norwegian birth registry cohort of 114 500 children and their parents. Medical Birth Registry of Norway data were used to link extended families. Mothers self-reported their own ADHD symptoms when children were aged 3 years; reported children's ADHD symptoms at age 5 years; and children's ADHD, oppositional defiant disorder (ODD), conduct disorder, anxiety and depression symptoms at age 8 years. Genetic correlations were derived from Multiple-Children-of-Twins-and-Siblings and extended bivariate twin models.
Results
Phenotypic correlations between adult ADHD symptoms and child ADHD, ODD, conduct disorder, anxiety and depression symptoms at age 8 years were underpinned by medium-to-large genetic correlations (child ADHD: rG = 0.55, 95% CI 0.43−0.93; ODD: rG = 0.80, 95% CI 0.46−1; conduct disorder: rG = 0.44, 95% CI 0.28−1; anxiety: rG = 0.72, 95% CI 0.48−1; depression: rG = 1, 95% CI 0.66−1). These cross-generational adult–child genetic correlations were of a comparable magnitude to equivalent child–child genetic correlations with ADHD symptoms at age 5 years.
Conclusions
Our findings provide genetically sensitive evidence that ADHD symptoms in adulthood share a common genetic architecture with symptoms of ADHD and four comorbid disorders at age 8 years. These findings suggest that in the majority of cases, ADHD symptoms in adulthood are not aetiologically distinct from in childhood.
Exploration of the association between financial concerns and depression in UK healthcare workers (HCWs) is paramount given the current ‘cost of living crisis’, ongoing strike action and recruitment/retention problems in the National Health Service.
Aims
To assess the impact of financial concerns on the risk of depression in HCWs, how these concerns have changed over time and what factors might predict financial concerns.
Method
We used longitudinal survey data from a UK-wide cohort of HCWs to determine whether financial concerns at baseline (December 2020 to March 2021) were associated with depression (measured with the Public Health Questionnaire-2) at follow-up (June to October 2022). We used logistic regression to examine the association between financial concerns and depression, and ordinal logistic regression to establish predictors of developing financial concerns.
Results
A total of 3521 HCWs were included. Those concerned about their financial situation at baseline had higher odds of developing depressive symptoms at follow-up. Financial concerns increased in 43.8% of HCWs and decreased in 9%. Those in nursing, midwifery and other nursing roles had over twice the odds of developing financial concerns compared with those in medical roles.
Conclusions
Financial concerns are increasing in prevalence and predict the later development of depressive symptoms in UK HCWs. Those in nursing, midwifery and other allied nursing roles may have been disproportionately affected. Our results are concerning given the potential effects on sickness absence and staff retention. Policy makers should act to alleviate financial concerns to reduce the impact this may have on a discontent workforce plagued by understaffing.
Neurodevelopmental disorders is an umbrella term that incorporates a range of conditions characterised by some form of disruption to ‘typical’ brain development. These disorders share aetiological pathways that have genetic, social and environmental risk factors. Neurodevelopmental disorders often have core features in common and they frequently co-occur. Long-term impairment is characteristic, although key features may vary over the life span. This chapter covers key aspects of the aetiology of neurodevelopmental disorders, in particular focusing on those found in forensic settings (such as autism spectrum disorder, intellectual disability, attention deficit and hyperactivity disorder and fetal alcohol spectrum disorder). The impact of genetic, social and environmental risk factors is considered. The chapter considers the aetiology of neurodevelopmental disorders as relevant to forensic settings.
Edited by
Masum Khwaja, Imperial College of Science, Technology and Medicine, London,Peter Tyrer, Imperial College of Science, Technology and Medicine, London
Violent behaviour displayed by individuals with intellectual disability (ID) is one of the biggest challenges to services. It can cause serious consequences to the health and well-being of the individual and those involved in their care, including exclusion from services or social groups. There is a greater risk of violence in the ID population and aetiological causes include biological and psychosocial factors and developmental disorders such as ASD and ADHD. Key management strategies involve a review of these factors, robust risk assessments and collaborative working utilising a multidisciplinary approach. Psychological and behavioural support interventions offered should be person-centred and tailored according to their needs. The goal is to assess and modify psychological, environmental or social factors and improve challenging behaviour. Pharmacological treatment can be helpful where underlying physical or mental health illnesses contribute to aggression. In those without obvious causes of violent behaviour, psychotropic medication can be also used to attenuate risks; however, current evidence base is limited and medication options should be considered on a case-by-case basis.
Recent developments in computational psychiatry have led to the hypothesis that mood represents an expectation (prior belief) on the likely interoceptive consequences of action (i.e. emotion). This stems from ideas about how the brain navigates its external world by minimising an upper bound on surprisal (free energy) of sensory information and echoes developments in other perceptual domains.
Aims
In this paper we aim to present a simple partial observable Markov decision process that models mood updating in response to stressful or non-stressful environmental fluctuations while seeking to minimise surprisal in relation to prior beliefs about the likely interoceptive signals experienced with specific actions (attenuating or amplifying stress and pleasure signals).
Method
We examine how, by altering these prior beliefs we can model mood updating in depression, mania and anxiety.
Results
We discuss how these models provide a computational account of mood and its related psychopathology and relate it to previous research in reward processing.
Conclusions
Models such as this can provide hypotheses for experimental work and also open up the potential modelling of predicted disease trajectories in individual patients.
This paper presents and responds to On the Heels of Ignorance, a sociological study which identifies five fundamental epistemological paradigm changes in American psychiatry in the service of its survival and details several tactics that have been employed to facilitate these professional reinventions. Issues raised in this presentation include the relationship between psychiatry, society and the state, and the nature and significance of psychiatric expertise. The dynamic of these relationships and the complexities of the required expertise create their own challenges for the advancement and professional accountability of the specialty. The conclusion suggests some future imperatives.
Schizophrenia is a heterogeneous disorder and it is unknown what causes individual variability in symptoms and cognitive ability.
Objectives
To examine the association between nine clinical predictors measurable at the onset of schizophrenia and five phenotype dimensions: positive, negative (diminished expressivity), negative (motivation and pleasure), disorganised symptoms and cognitive ability.
Methods
852 participants (mean age 49 years old) with a diagnosis of schizophrenia or schizoaffective depression were included from the CardiffCOGS cross-sectional sample. Phenotype dimensions were created using confirmatory factor analysis and a 5-factor model. Associations were tested using linear regression, adjusting for age and sex. A Bonferroni correction was applied for (p<1.1x10-3) for multiple testing.
Results
Age of onset of psychosis was significantly associated with positive symptoms (β=-0.18, p=4.0 x10-6). Lower premorbid IQ was associated with diminished expressivity (β=-0.25, p= 7.0x10-13), reduced motivation and pleasure (β=-0.23, p= 4.3x10-11), disorganised symptoms (β=-0.14, p= 7.6x10-5) and reduced cognition (β=0.54, p= 4.8x10-77). Poor premorbid social adjustment held associations with all except positive. Developmental delay was associated with reduced cognition (β=-0.35, p= 4.3x10-5). Cannabis use (year before onset), psychosocial stressors (within 6 months), childhood abuse and family history of schizophrenia held no associations.
Conclusions
Clinical indicators measurable at schizophrenia onset are associated with lifetime symptom variability. A younger psychosis onset is associated with more severe positive symptoms, suggesting possible age-targeted management. Pre-established links of lower premorbid IQ with poor premorbid social adjustment and negative symptom severity with cognition are strengthened. Further investigation could potentially improve diagnosis and guide treatment choice for aspects of schizophrenia with poor outcomes.