We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Disordered eating (DE) is associated with elevated cardiometabolic risk (CMR) factors, yet little is known about this association in non-Western countries. We examined the association between DE characteristics and CMR and tested the potential mediating role of BMI. This cross-sectional study included 2005 Chinese women (aged 18–50 years) from the 2015 China Health and Nutrition Survey. Loss of control, restraint, shape concern and weight concern were assessed using selected questions from the SCOFF questionnaire and the Eating Disorder Examination-Questionnaire. Eight CMR were measured by trained staff. Generalised linear models examined associations between DE characteristics with CMR accounting for dependencies between individuals in the same household. We tested whether BMI potentially mediated significant associations using structural equation modelling. Shape concern was associated with systolic blood pressure (β (95 % CI) 0·06 (0·01, 0·10)), diastolic blood pressure (DBP) (0·07 (95 % CI 0·03, 0·11)) and high-density lipoprotein (HDL)-cholesterol (–0·08 (95 % CI –0·12, −0·04)). Weight concern was associated with DBP (0·06 (95 % CI 0·02, 0·10)), triglyceride (0·06 (95 % CI 0·02, 0·10)) and HDL-cholesterol (–0·10 (95 % CI –0·14, −0·07)). Higher scores on DE characteristics were associated with higher BMI, and higher BMI was further associated with lower HDL-cholesterol and higher other CMR. In summary, we observed significant associations between shape and weight concerns with some CMR in Chinese women, and these associations were potentially partially mediated by BMI. Our findings suggest that prevention and intervention strategies focusing on addressing DE could potentially help reduce the burden of CMR in China, possibly through controlling BMI.
To examine the association of co-morbidity with home-time after acute stroke and whether the association is influenced by age.
Methods:
We conducted a province-wide study using linked administrative databases to identify all admissions for first acute ischemic stroke or intracerebral hemorrhage between 2007 and 2018 in Alberta, Canada. We used ischemic stroke-weighted Charlson Co-morbidity Index of 3 or more to identify those with severe co-morbidity. We used zero-inflated negative binomial models to determine the association of severe co-morbidity with 90-day and 1-year home-time, and logistic models for achieving ≥ 80 out of 90 days of home-time, assessing for effect modification by age and adjusting for sex, stroke type, comprehensive stroke center care, hypertension, atrial fibrillation, year of study, and separately adjusting for estimated stroke severity. We also evaluated individual co-morbidities.
Results:
Among 28,672 patients in our final cohort, severe co-morbidity was present in 27.7% and was associated with lower home-time, with a greater number of days lost at younger age (−13 days at age < 60 compared to −7 days at age 80+ years for 90-day home-time; −69 days at age < 60 compared to −51 days at age 80+ years for 1-year home-time). The reduction in probability of achieving ≥ 80 days of home-time was also greater at younger age (−22.7% at age < 60 years compared to −9.0% at age 80+ years). Results were attenuated but remained significant after adjusting for estimated stroke severity and excluding those who died. Myocardial infarction, diabetes, and cancer/metastases had a greater association with lower home-time at younger age, and those with dementia had the greatest reduction in home time.
Conclusion:
Severe co-morbidity in acute stroke is associated with lower home-time, more strongly at younger age.
Edited by
Deepak Cyril D'Souza, Staff Psychiatrist, VA Connecticut Healthcare System; Professor of Psychiatry, Yale University School of Medicine,David Castle, University of Tasmania, Australia,Sir Robin Murray, Honorary Consultant Psychiatrist, Psychosis Service at the South London and Maudsley NHS Trust; Professor of Psychiatric Research at the Institute of Psychiatry
A prominent but under-appreciated concern for individuals with schizophrenia and psychotic disorders using cannabis is the co-use of tobacco. Rates of cannabis and tobacco co-use are on the rise, which may reflect the changing legal landscape surrounding cannabis use. Currently, there are no approved medications for cannabis use disorders and behavioural treatments yield only modest abstinence rates that decline once treatment is discontinued. Converging evidence suggests that treatments for cannabis use disorder may be augmented among co-users if tobacco use is considered and addressed, highlighting the need for a better understanding of cannabis use in the context of tobacco. This chapter reviews the evidence for: (1) mechanisms facilitating the high rates of tobacco use among cannabis users, including those with psychosis; (2) the interactive effects of co-use on the brain, clinical outcomes, and physical health; and (3) the implications for treating cannabis and tobacco co-use in general, and in psychotic disorders in particular. Overall, we present evidence that attests to the public health significance of cannabis and tobacco co-use and the urgent need for the development of empirically informed treatments for these individuals, particularly for those with co-occurring psychosis.
Providers of cognitive behavioural therapy (CBT) in adult mental health services in the UK are expected to deliver therapy suitable for adults of all ages. However, older people commonly present with co-morbidities that challenge delivery of single-diagnosis CBT protocols. Added to this, the difference in age between therapy-provider and service-user can compromise collaboration. In this paper, I consider two key areas of relevance for training and supervising CBT therapists for work with older people, namely multi-morbidities and intergenerational relations. The evolving evidence base for CBT with older people is summarised and a commentary provided on previous ‘old age’ case studies from the Cognitive Behaviour Therapist (tCBT). Strategies for collaborative relationships are discussed, as are strategies for ‘embedding the silver thread’. I conclude with recommendations for future directions for CBT training and supervision.
Key learning aims
(1) To be aware that any differences in working with older people are not due to age per se, but factors such as cohort differences and multi-morbidity.
(2) To reflect on case examples of CBT with older people.
(3) To learn strategies for developing collaborative relationships across an intergenerational divide.
Co-occurring psychiatric disorders are common in autism, with previous studies suggesting 54–94% of autistic individuals develop a mental health condition in their lifetime. Most studies have looked at clinically-recruited cohorts, or paediatric cohorts followed into adulthood, with less known about the autistic community at a population level. We therefore studied the prevalence of co-occurring psychiatric and neurological conditions in autistic individuals in a national sample.
Methods
This retrospective case-control study utilised the SAIL Databank to examine anonymised whole population electronic health record data from 2001 to 2016 in Wales, UK (N = 3.6 million). We investigated the prevalence of co-occurring psychiatric and selected neurological diagnoses in autistic adults' records during the study period using International Classification of Diseases-10 and Read v2 clinical codes compared to general population controls matched for age, sex and deprivation
Results
All psychiatric conditions examined were more common amongst adults with autism after adjusting for age, sex and deprivation. Prevalence of attention-deficit hyperactivity disorder (7.00%), bipolar disorder (2.50%), obsessive-compulsive disorder (3.02%), psychosis (18.30%) and schizophrenia (5.20%) were markedly elevated in those with autism, with corresponding odds ratios 8.24–10.74 times the general population. Depression (25.90%) and anxiety (22.40%) were also more prevalent, with epilepsy 9.21 times more common in autism.
Conclusions
We found that a range of psychiatric conditions were more frequently recorded in autistic individuals. We add to understanding of under-reporting and diagnostic overshadowing in autism. With increasing awareness of autism, services should be cognisant of the psychiatric conditions that frequently co-occur in this population.
Experiencing mental ill-health has long been recognised as being associated with a range of physical conditions that shorten life or impose limitations on physical well-being. Although the causes of this association are uncertain, it is absolutely clear that the experience of enduring mental ill-health in both Australia and Aotearoa New Zealand will be associated with a shorter life span (Firth et al. 2019; Cunningham, Peterson et al., 2014). The chapter addresses the more commonly experienced co-occurrring physical conditions (also known as comorbidities), looking at the prevalence and specific characteristics of each among those experiencing recurring mental ill-health. The effects of medication on physical health and well-being are explored. Complementary approaches to augmenting well-being are addressed. This includes exercise, diet and stress-reduction strategies as well as over-the-counter (OTC) drugs and complementary and alternative medicines (CAM). The final part of the chapter looks at approaches that are useful in preventing, or limiting the effects of co-occurring physical ill-health.
Although insomnia disorder and social anxiety disorder are among the most prevalent psychiatric disorders, no studies have yet evaluated the use of sequential evidence-based treatment protocols in the population with co-morbid social anxiety disorder and insomnia disorder.
Aims:
This study aimed to investigate the effects of sequential treatments on co-morbid insomnia disorder and social anxiety disorder. As depression is a common co-morbid syndrome for both insomnia and social anxiety, a secondary aim was to examine depressive symptoms.
Method:
A single-case repeated crossover AB design was used. Ten participants between 18 and 59 years of age with co-morbid DSM-5 diagnoses of insomnia disorder and social anxiety disorder received sequential treatments with cognitive behavioural therapy (CBT). Seven participants completed the treatment course. The primary outcomes were symptoms of insomnia and social anxiety, and the secondary outcome was symptoms of depression.
Results:
The effects of CBT on people with co-morbid social anxiety disorder and insomnia disorder were mixed. The majority of participants improved their sleep quality and lessened symptoms of social anxiety and depression. However, participants differed in their degree of improvement concerning all three disorders.
Conclusions:
Sequential CBT treatments are potentially effective at decreasing symptoms of social anxiety and insomnia for people with co-morbid social anxiety disorder and insomnia disorder. The variation in outcome across participants makes firm conclusions about the treatment efficacy difficult to draw.
Despite the vast majority of evidence indicating the efficacy of traditional and recent cognitive behaviour therapy (CBT) therapies in treating social anxiety disorder (SAD), some individuals with SAD do not improve by these interventions, particularly when co-morbidity is present.
Aims:
It is not clear how emotion regulation therapy (ERT) can improve SAD co-morbid with symptoms of generalized anxiety disorder (GAD) and depression. This study investigated this gap.
Method:
Treatment efficacy was assessed using a single case series methodology. Four clients with SAD co-occurring with GAD and depression symptoms received a 16-session version of ERT in weekly individual sessions. During the treatment, self-report measures and clinician ratings were used to assess the symptom intensity, model-related variables, and quality of life, work and social adjustment of participants every other week throughout the treatment. Follow-up was also conducted at 1, 2 and 3 months after treatment. Data were analysed using visual analysis, effect size (Cohen’s d) and percentage of improvement.
Results:
SAD clients with depression and GAD symptoms demonstrated statistically and clinically significant improvements in symptom severity, quality of life, work, social adjustment and model-related measures (i.e. negative emotionality/safety motivation, emotion regulation strategies). The improvements were largely maintained during the follow-up period and increased for some variables.
Conclusion:
These findings showed preliminary evidence for the role of emotion dysregulation and motivational factors in the aetiology and maintenance of SAD and the efficacy of ERT in the treatment of co-morbid SAD.
The purpose of the present study was to investigate the gender-related differences of clinical features in a sample of obsessive-compulsive (OCD) patients. One hundred and sixty outpatients with a principal diagnosis of obsessive-compulsive disorder (DSM-IV, Y-BOCS = 16) were admitted. Patients were evaluated with a semi-structured interview covering the following areas: socio-demographic data, Axis I diagnoses (DSM-IV), OCD clinical features (age at onset of OC symptoms and disorder, type of onset, life events and type of course). For statistical analysis the sample was subdivided in two groups according to gender. We found an earlier age at onset of OC symptoms and disorder in males; an insidious onset and a chronic course of illness were also observed in that group of patients. Females more frequently showed an acute onset of OCD and an episodic course of illness; they also reported more frequently a stressful event in the year preceding OCD onset. A history of anxiety disorders with onset preceding OCD and hypomanic episodes occurring after OCD onset was significantly more common among males, while females showed more frequently a history of eating disorders. We found three gender-related features of OCD: males show an earlier age at onset with a lower impact of precipitant events in triggering the disorder; OCD seems to occur in a relative high proportion of males who already have phobias and/or tic disorders; and a surfeit of chronic course of the illness in males in comparison with females.
Multiple studies suggest that diabetes mellitus (DM) is a potential risk factor for tuberculosis (TB) development and treatment, especially in low- and middle-income countries. The study aimed to test concomitancy between DM and TB among adults in India. Data were from the 2015–16 National Family Health Survey (NFHS-4). The study sample comprised 107,575 men aged 15–54 and 677,292 women aged 15–49 for which data on DM status were available in the survey. The association between state-level prevalence of TB and DM was examined and robust Poisson regression analysis applied to examine the effect of DM on TB. A high prevalence of TB was observed among individuals with diabetes in India in 2015–16. A total of 866 per 100,000 men and 405 per 100,000 women who self-reported having diabetes also had TB; among those who self-reported not having diabetes the ratios were 407 per 100,000 men and 241 per 100,000 women. The risk of having TB among those who self-reported having DM was higher for both men (2.03, 95% CI: 1.26, 3.28) and women (1.79, 95% CI: 1.48, 2.49) than for those who did not self-report having DM. Adults who were diagnosed with diabetes (including pre-diabetes) also had a higher rate of TB (477 per 100,000 men and 331 per 100,000 women) than those who were not diagnosed (410 per 100,000 men and 239 per 100,000 women). Adults from poor families, with lower BMIs, lower levels of literacy and who were not working had a higher risk of TB–DM co-morbidity. The state-level pattern of co-morbidity, the under-reporting of DM (undiagnosed) and TB stigmatization are discussed. The study confirms that diabetes is an important co-morbid feature with TB in India, and reinforces the need to raise awareness on screening for the co-existence of DM and TB with integrated health programmes for the two conditions.
The present study investigated the occurrence and the clinical correlates of psychiatric co-morbidity in a sample of 64 patients with delusional disorder (DD). Subjects were evaluated with a semi-structured interview for the collection of demographic and clinical features of the disorder; co-morbid axis 1 disorders were determined according to the clinical interview using DSM-IV by Othmer and Othmer. Delusional disorder subjects with and without co-morbid diagnoses were compared to investigate whether the presence of another psychiatric disorder influenced the clinical features of the illness.
Seventy-two percent of the subjects had at least one additional lifetime psychiatric diagnosis. High lifetime co-morbidity was found with affective disorders, whose onset generally had been subsequent to the onset of DD. Patients with at least one co-morbid disorder (N = 46) had an earlier age at onset, presented for the first psychiatric consultation at an earlier age, and were younger at index evaluation for this study with respect to patients without co-morbidity (N = 18). Types of DD differed significantly according to the presence/absence of lifetime co-morbid disorders: DD patients with co-morbidity were in most cases persecutory type (54.4%) while DD patients without co-morbidity were mixed type (66.7%).
Our data indicate that there is a considerable proportion of patients whose DDr is strictly connected with other co-occurring psychiatric disorders (mainly affective disorders), which exert an influence on the phenomenology of the illness.
The clinical characteristics of bipolar I disorder (BD1) have prognostic and therapeutic importance. The aim of this study was to examine the effect of demographic and clinical variables on the course of BD1. We reviewed the case notes of all BD1 patients (n = 63) receiving treatment in a London psychiatric service during a 1-month period. Depressive and manic onsets were equally likely without any gender difference. The earlier the age of onset, the more likely it was for patients to experience psychotic features. Only depressive onsets predicted a higher number of episodes of the same polarity. Male gender and substance abuse were associated with younger age at first presentation, while women with co-morbid substance abuse had more manic episodes. Male patients were more likely than females to be unemployed or single.
The existence of mental disorders is almost constant in subjects who try to kill themselves. In addition, a majority of attempters have more than one diagnosis.
This is especially true if Axis II or Axis I subthreshold conditions are taken into account. The existence of a disorder largely explains the association between most socioeconomic variables (sex, marriage, education level) and suicidality. Depressive disorders are the major risk factor, a risk probably linked to a current episode just before the attempt. The association to depressive episodes of an anxiety disorder or the existence of impulsive traits (and/or cluster B personality disorder or drug abuse) increases the risk of acting out. Ideation and attempts show parallel onset curves peaking between the ages of 14 and 20 years, with the existence of a previous DSM III R diagnosis as a strong predictor. The number of associated disorders linearly increases the probability of attempting suicide and is the only significant predictor for lethality. A proper treatment of mental disorders could substantially lower suicidality.
The recent epidemiologic studies report extremely varied rates for social phobia (SP). One of the reasons for this may be the difficulty in diagnosing SP, the boundaries of which are uncertain. A community survey was carried out using doctors with experience in clinical psychiatry as interviewers, and a clinical diagnostic instrument. Two thousand three hundred and fifty-five people (out of the 2,500 randomly selected from the population) living in Sesto Fiorentino, a suburb of Florence, Italy, were interviewed by their own general practitioner, using the MINI plus six additional questions. Six hundred and ten of the 623 subjects that were found positive for any form of psychopathology at the screening interview, and 57 negative subjects, were re-interviewed by residents in psychiatry using the Florence Psychiatric Interview (FPI). The FPI is a validated composite instrument that has the format of a structured clinical research record. It was found that 6.58% of subjects showed social anxiety not attributable to other psychiatric or medical conditions during their life. Social or occupational impairments meeting DSM-IV diagnostic requirements for SP was detected in 76 subjects (lifetime prevalence = 3.27%). Correction for age raises the lifetime expected prevalence to 4%. Sex ratio was approximately (F:M) 2:1. The most common fear was speaking in public (89.4%), followed by entering a room occupied by others (63.1%) and meeting with strangers (47.3%). Eighty-six point nine percent of subjects with SP complained of more than one fear. The mean age of onset (when the subjects first fully met DSM-IV criteria for SP) was 28.8 years, but the first symptoms of SP usually occurred much earlier, with a mean age of onset at 15.5 years. Ninety-two percent of cases with SP also showed at least one other co-morbid psychiatric disorder during their life. Lifetime prevalence of avoidant personality disorder (APD) was 3.6%. Forty-two point nine percent of cases with SP also had APD, whereas 37.9% of cases with APD developed SP.
The association between additional co-morbid axis I disorders and the following 28-month course of drinking and mental distress was explored in a nation-wide representative sample (N = 100) of treatment-seeking alcoholics with antisocial personality disorder (ASPD). Diagnoses at admission were assessed with the Diagnostic Interview Schedule and follow-up status was assessed with a questionnaire and from informants. Only 24% had no additional diagnoses, 39% had an affective disorder, 43% panic/agoraphobia, 61% other anxiety disorders, and 47% were polysubstance abusers. Polysubstance abusers had more prior admissions, and were more often involved in fights, while additional anxiety disorder was associated with lower prevalence of drunken driving arrests. Relapse (87%) was best predicted by the number of prior admissions (odds ratio [OR] = 1.3), while affective disorders reduced the risk of relapse (OR = 0.2). Readmissions (55%) were least common among those with affective disorders (44%). Identifying axis I diagnoses, and in particular affective disorders among treatment-seeking ASPD alcoholics, is of substantial importance both in research and clinical practice.
The high co-morbidity between bipolar disorder and alcohol dependence may have different explanations, one of them being the existence of common genetic factors for the two disorders. Several candidate genes may be involved but the genes acting in the dopaminergic pathway may be more specifically involved. We have thus tested the role of the gene encoding the D2 dopamine receptor (TaqI A1 allele) in the potentially shared vulnerability to alcohol dependence and bipolar disorder.
One hundred and twenty-two French (for at least two generations) patients were recruited on the basis of hospital or outpatient files and were interviewed with the DIGS. The A1 allele frequencies were compared between four groups, namely, with bipolar patients and co-morbid alcohol dependence (N = 21), with bipolar patients without alcohol morbidity (N = 31), with alcohol dependence without mood disorder (N = 35) and unaffected controls (N = 35).
The Hardy Weinberg equilibrium for the DRD2 Taq1 A1 genotypes was respected for the sample as a whole, and for each subsample. We observed that 42.9% of control subjects have at least one A1 allele, a frequency which is not significantly different from the one observed in the affected sample as a whole (39.1%), neither from patients with alcohol dependence (37.1%), patients with bipolar disorder (48.4%) nor patients with alcohol dependence and bipolar disorder (28.6%). The regression analysis based on the three variables (bipolar disorder, alcohol dependence and interaction between these two disorders) does not explain the presence of the A1 allele of the DRD2 gene.
We thus found no evidence for a significant role of the A1 allele of the D2 dopamine receptor gene in the specific association between bipolar disorder and alcohol dependence in our sample.
Epidemiologic surveys conducted across Europe indicate that the lifetime prevalence of social anxiety disorder in the general population is close to 7%. The disorder in adulthood rarely presents in its ‘pure’ form and 70–80% of patients have at least one other psychiatric disorder, most commonly depression. Social anxiety disorder is a risk factor for the development of depression and alcohol/substance use or dependence, especially in cases with an early onset (< 15 years). Individuals with social anxiety disorder have significant functional impairment, notably in the areas of initiation and maintenance of social/romantic relationships and educational and work achievement. The economic consequences of social anxiety disorder are considerable, with a high level of diminished work productivity, unemployment and an increased utilisation of medical services amongst sufferers. Effective treatment of social anxiety disorder would improve its course and its health and economic consequences.
Psychological autopsy is one of the most valuable tools of research on completed suicide. The method involves collecting all available information on the deceased via structured interviews of family members, relatives or friends as well as attending health care personnel. In addition, information is collected from available health care and psychiatric records, other documents, and forensic examination. Thus a psychological autopsy synthesizes the information from multiple informants and records. The early generation of psychological autopsies established that more than 90% of completed suicides have suffered from usually co-morbid mental disorders, most of them mood disorders and/or substance use disorders. Furthermore, they revealed the remarkable undertreatment of these mental disorders, often despite contact with psychiatric or other health care services. More recent psychological autopsy studies have mostly used case-control designs, thus having been better able to estimate the role of various risk factors for suicide. The future psychological autopsy studies may be more focused on interactions between risk factors or risk factor domains, focused on some specific suicide populations of major interest for suicide prevention, or combined psychological autopsy methodology with biological measurements.
Background – Suicide and suicide attempts have been associated to psychiatric illnesses; however, little is known about the role in suicide risk of those symptoms that do not meet the full criteria for a DSM-IV disorder. The aim of this study was to examine the prevalence of subthreshold psychiatric disorders among suicide attempters in Hungary. Methods – Using a modified structured interview (Mini International Neuropsychiatric Interview) determining 16 Axis I psychiatric diagnoses and their subthreshold forms defined by the DSM-IV and a semistructured interview collecting background information, the authors examined 140 consecutive suicide attempters, aged 18–65 years. Results – Eighty-three-point-six percent of the attempters had one or more current threshold diagnoses on Axis I and in addition more than three-quarters (78.6%) of the subjects had at least one subthreshold diagnosis. Six-point-four percent of the subjects (N = 9) had neither subthreshold nor threshold diagnoses at the time of their suicide attempts. Ten percent of the subjects (N = 14), not meeting the full criteria for any DSM-IV diagnoses, had at least one subthreshold diagnosis. In 68.6% of the subjects (N = 96), both subthreshold and threshold disorders were diagnosed at the time of their suicide attempts. The number of subthreshold and threshold diagnoses were positively and significantly related (χ2 = 5.12, df = 1, P < 0.05). Sixty-three-point-six percent of the individuals received two or more current threshold diagnoses on Axis I and 44.3% of the individuals (N = 62) had two or more subthreshold diagnoses at the time of their suicide attempts. Limitations – The subthreshold definitions in this study included only those forms of the disorders which required the same duration as the criteria DSM-IV disorder with fewer symptoms. Conclusions – Suicide attempts showed a very high prevalence of subthreshold disorders besides psychiatric disorders meeting the full criteria required according to the DSM-IV. Subthreshold forms of mental disorders need to be taken into account in suicide prevention.
Prevalence of suicide attempts and their relationship with DIS anxiety and affective disorder diagnoses were investigated in a Hungarian adult community sample. Despite the high suicide mortality rate, the rate of suicide attempts was similar to that reported in other studies using similar methods. Suicide attempts occurred more frequently among women and previously married persons. Although the presence of any lifetime anxiety and/or affective disorder increased the rate of reported suicide attempts, the effect of co-morbidity, recurrence and chronicity might be considered significant predictors. The highest odds of an attempt were related to the diagnoses of dysthymic or bipolar disorders. Agitation was the only depressive symptom, which increased the odds of a suicide attempt.