Temporal order of cancers and mental disorders in an adult population

Do Patient's Interpersonal Problems Improve Following Metacognitive Therapy? A Systematic Review and Meta-Analysis

Metacognitive therapy (MCT) aims to modify dysfunctional metacognitions that are thought to be universal determinants of emotional distress and psychological dysfunction more generally. MCT is an effective treatment for emotional distress symptoms, but less is known about its effect for other types of psychological problems. Interpersonal problems are common in psychological disorders and should be improved following psychotherapy. Therefore, we conducted a systematic review and meta-analysis of trials on the effects associated with MCT for interpersonal problems among adults with mental health disorders published until 15 November 2023 using PubMed, Cochrane Library and PsycNet. Trials with a minimum of 10 participants were included. A total of six studies based on five trials reported on the effectiveness of MCT for interpersonal problems and met our inclusion criteria. Two trials evaluated MCT for patients with major depressive disorders, two for patients with anxiety disorders and one for borderline personality disorder. Three of the trials were randomized controlled trials. Four of the trials reported follow-up data but varied in their time-points. The within-group effect size estimate from pretreatment to posttreatment across five trials was large (g = 0.865, 95% CI [0.512-1.218]). Our results indicate that MCT is an effective treatment for improving interpersonal problems in individuals with common mental disorders, even though the treatment is short and primarily concern improving mental regulation through modifying metacognitions. While this finding is in line with metacognitive theory, more trials evaluating personality and interpersonal functioning are needed to draw firm conclusions.

Metacognitive beliefs predict interpersonal problems in patients with social anxiety disorder

Patients with Social Anxiety Disorder (SAD) typically report interpersonal problems, and these are important targets in treatment beyond social anxiety symptoms as they impair quality of life, maintain emotion symptoms and effect on social functioning. What factors contribute to interpersonal problems? In the current study we set out to explore the role of metacognitive beliefs as correlates of interpersonal problems in patients treated for SAD when controlling for the effect of social phobic cognitions and symptoms. The sample consisted of 52 patients with a primary diagnosis of SAD participating in a randomized controlled trial comparing cognitive therapy, paroxetine, pill placebo, or the combination of cognitive therapy and paroxetine in treating SAD. Two hierarchical multiple linear regression analyses were conducted to explore change in metacognitions as predictors of change in interpersonal problems when controlling for change in social phobic cognitions and social anxiety. Change in metacognitions accounted for unique variance in interpersonal problems improvement beyond change in cognitions. Furthermore, change in cognitions overlapped with change in social anxiety symptoms, and when controlling the overlap between these three predictors, only change in metacognitions was uniquely associated with improvement in interpersonal problems. This finding indicates that metacognitions are linked to interpersonal problems in patients with SAD with the implication that treatment should aim to modify metacognitive beliefs to alleviate interpersonal dysfunction.

Population-based affective-disorder-related biomedical/biophysical multi-hyper-morbidity across the lifespan: A 16-year population study

BACKGROUND

There are few if any life-span population-based studies of psychiatric disorder-associated biomedical and biophysical disorders and diseases (morbidity).

AIM

To scope the present state of research regarding the biomedical and biophysical morbidity associated with affective and mental disorder in epidemiological samples, and to examine the life-span relationship between affective disorders and biomedical/biophysical disorders to illustrate a novel approach employing the odds ratio to represent the intensity of biomedical and biophysical morbidity associated in time in a population.

METHODS

A repeatable systematic literature search of PubMed was represented in summary. Additionally, a regional population-based dataset was constructed and analyzed to represent the age- and sex-specific diagnoses (International Classification of Diseases Version 9, ICD-9) for those with and without affective disorder. The analysis presents a novel index of the relative age-specific frequency of life-span biomedical and biophysical diagnoses associated with affective disorder.

RESULTS

The volume of biomedical and biophysical morbidity associated with mental disorder literature has increased, yet few studies measure comprehensive temporal hyper-morbidity (over-representation of diseases over time, either before or after the index diagnostic event) in populations. Further, there have been only a few population-based studies examining the morbidity associated with affective disorder and only one that examines the full diagnostic range of lifespan morbidity. Substantial differences arose between males and females with more females than males having greater frequencies of diagnoses. The age-specific distributions of the maximum proportional diagnosis frequency ratios for each sex illustrate the greatest diagnosis-specific differences when comparing the biomedical and biophysical diagnoses of those with and without affective disorder when the same diagnosis was represented in each grouping at the same age.

CONCLUSION

Clinical research needs to focus on more than one or two comorbid biomedical or biophysical disorders at a time. Comprehensive population-based examination of the lifespan biomedical and biophysical multi-morbidity associated with affective disorder has the potential to directly inform clinical practice. Representing the proportional ratios of age-specific frequency of diagnoses for the full range of ICD-9 diagnoses is a novel analytical model. Diagnostic frequency appears a viable representation of a given disease state, such as affective disorder. Fortunately, the WPA has developed a global education section to better understand the biomedical and biophysical morbidity associated with all psychiatric disorders. This has been identified by the WPA as the psychiatric practice challenge of the 21^st century.

Change in interpersonal problems and metacognitive beliefs as predictors of improvement in patients with generalized anxiety disorder

INTRODUCTION

Generalized anxiety disorder (GAD) is characterized by persistent worry and anxiety, often with a chronic course. We tested the role of two suggested underlying factors in GAD, interpersonal problems and negative metacognitive beliefs, as predictors of trait-worry and trait-anxiety.

METHODS

The sample consisted of 56 patients with a primary diagnosis of GAD from a randomized controlled trial. We first estimated the proportion of variance lying between the higher level of the data structure to account for potential therapists' effects. Two hierarchical regression analyses were conducted testing change in interpersonal problems and negative metacognitive beliefs as predictors of change in trait-worry and trait-anxiety following treatment. Change in depression and anxiety symptoms was controlled.

RESULTS

Change in negative metacognitive beliefs was the strongest predictor of improvement of both trait-worry and trait-anxiety. Change in interpersonal problems was not a unique predictor of change in trait-worry but did make a significant and unique contribution to trait-anxiety.

CONCLUSIONS

Negative metacognitive beliefs may be important targets to improve trait-worry and trait-anxiety in GAD. Interpersonal problems may be relevant for trait-anxiety but could also be a surface marker of higher order vulnerability factors. Implications for treatment are discussed.

Longitudinal Analysis of Mental Disorder Burden Among Elderly Patients With Gastrointestinal Malignancies

BACKGROUND

Patients with cancer are at high risk for having mental disorders, resulting in widespread psychosocial screening efforts. However, there is a need for population-based and longitudinal studies of mental disorders among patients who have gastrointestinal cancer and particular among elderly patients.

PATIENTS AND METHODS

We used the SEER-Medicare database to identify patients aged ≥65 years with colorectal, pancreatic, gastric, hepatic/biliary, esophageal, or anal cancer. Earlier (12 months before or up to 6 months after cancer diagnosis) and subsequent mental disorder diagnoses were identified.

RESULTS

Of 112,283 patients, prevalence of an earlier mental disorder was 21%, 23%, 20%, 20%, 19%, and 26% for colorectal, pancreatic, gastric, hepatic/biliary, esophageal, and anal cancer, respectively. An increased odds of an earlier mental disorder was associated with pancreatic cancer (odds ratio [OR], 1.17; 95% CI, 1.11-1.23), esophageal cancer (OR, 1.10; 95% CI, 1.02-1.18), and anal cancer (OR, 1.17; 95% CI, 1.05-1.30) compared with colorectal cancer and with having regional versus local disease (OR, 1.09; 95% CI, 1.06-1.13). The cumulative incidence of a subsequent mental disorder at 5 years was 19%, 16%, 14%, 13%, 12%, and 10% for patients with anal, colorectal, esophageal, gastric, hepatic/biliary, and pancreatic cancer, respectively. There was an association with having regional disease (hazard ratio [HR], 1.08; 95% CI, 1.04-1.12) or distant disease (HR, 1.36; 95% CI, 1.28-1.45) compared with local disease and the development of a mental disorder. Although the development of a subsequent mental disorder was more common among patients with advanced cancers, there continued to be a significant number of patients with earlier-stage disease at risk.

CONCLUSIONS

This study suggests a larger role for incorporating psychiatric symptom screening and management throughout oncologic care.

Impact of Central Intake Development and System Change on Per Capita Child and Adolescent Mental Health Discharges from 2002 to 2017: Implications for Optimizing System Design by Shaping Demand

INTRODUCTION

After several Canadian public hospital systems merged, a centralized intake system and associated regional access and intake system were developed and implemented for child and adolescent mental health services in 2002.

OBJECTIVES

To describe the catchment area's per capita service rates (overall and annual discharges) and changes in staff time per unit of intake activity, client wait times, and length of stay.

METHODS

Patient data (2002-2017) and census data permitted calculation of annual and overall per capita mental health service episodes of care on the basis of discharge rates. Population-based discharge rates, wait times, length of stay, and staff workload were described, referring service investment and system changes.

RESULTS

From 117,500 referrals (64% admitted and discharged; 53% female) to all regional services, 16,750 unique males and 17,140 unique females were admitted and discharged between April 1, 2002, and March 31, 2017. Per capita annual discharge rates increased over baseline 1.8-fold for both sexes, and investments increased 2.8-fold. Wait times and length of stay decreased in the 90th percentile over time for both scheduled (ambulatory) and urgent/emergent service levels. Staff workload increased.

CONCLUSION

Per capita system capacity increased but did not change in linear relation to investment, even though wait times and length of stay decreased. Steps focusing on future optimization of system capacity are discussed using a novel concept termed shaping demand, which refers to strategies for orienting/educating families after referral and before admission. Two new education programs focus on community-based primary care physicians and school-based services.

A 16-Year Cohort Analysis of Autism Spectrum Disorder-Associated Morbidity in a Pediatric Population

Introduction: This chapter presents the analysis of physician-diagnosed International Classification of Diseases (ICD version 9) disorders and diseases associated with autism spectrum disorders (ASD) in a 16-year pediatric cohort. Materials and Methods: The sample (n = 47,180; 62% male) consisted of children in the Alberta Health Services Calgary Health Region catchment under the age of 3 years, who received any physician-assigned ICD 9 diagnosis before the age of three between April 1993 and December 31, 1994. There were 111 females and 609 males with ASD diagnosed at any time between 1993 and 2010. The results detail the 16-year odds ratio (OR) associations of ASD diagnosis within the major classes of international classification of diseases (ICD 9) stratified by age and sex in the cohort. Further, for those suffering from ASD and any other disorder or disease, the analysis presents by sex, age, and duration, the proportions of all index physician-assigned ICD diagnoses, arising significantly before and after the index ASD diagnosis. Results: The rate of treated ASD in the cohort was 1 in 65 and the 16-year population rate of ASD was 62 per 10,000. For males with an ASD over the 16 year period, the ORs were significantly greater than the value one for 15 of the 17 main ICD classes and for 10 of the main ICD classes for females. Different age strata presented a more specific account of the main ICD class OR profiles. More specifically, 28 ICD disorders significantly preceded and 95 ICD disorders significantly followed ASD for females. Thirty-eight ICD disorders significantly preceded and 234 ICD disorders significantly followed ASD for males. Conclusions: The results largely confirm past studies focusing on more constrained sets of ASD morbidity. The age-stratified ORs gauge the order of risk in time for the cohort. The proportions of specific ICD disorders arising before and after ASD may be useful in respect to informing basic ASD research and ASD clinical management. Limitations are discussed.