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Background: This case study examines the application of Integrated Enhanced Cognitive Behavioural Therapy (I-CBTE) for a patient with severe, longstanding anorexia nervosa and multiple comorbidities, including organic hallucinosis, complex post-traumatic stress disorder (CPTSD), and severe self-harm. Such complex presentations often result in patients falling between services, which can lead to high chronicity and increased mortality risk. Commentaries from two additional patients who have recovered from severe and longstanding anorexia nervosa are included. Case study: The patient developed severe anorexia nervosa and hallucinosis after a traumatic brain injury in 2000. Despite numerous hospitalisations and various psychotropic medications in the UK and France, standard treatments were ineffective for 17 years. However, Integrated Enhanced Cognitive Behaviour Therapy (I-CBTE) using a whole-team approach and intensive, personalised psychological treatment alongside nutritional rehabilitation proved effective. Methods: In this paper, we describe the application of the I-CBTE model for individuals with severe, longstanding, and complex anorexia nervosa, using lived experience perspectives from three patients to inform clinicians. We also outline the methodology for adapting the model to different presentations of the disorder. Outcomes: The patient achieved and maintained full remission from her eating disorder over the last 6 years, highlighting the benefit of the I-CBTE approach in patients with complex, longstanding eating disorder histories. Successful treatment also saved in excess of £360 k just by preventing further hospitalisations and not accounting for the improvement in her quality of life. This suggests that this method can improve outcomes and reduce healthcare costs. Conclusion: This case study, with commentaries from two patients with histories of severe and longstanding anorexia nervosa, provides a detailed description of the practical application of I-CBTE for patients with severe and longstanding eating disorders with complex comorbidities, and extensive treatment histories. This offers hope for patients and a framework for clinicians to enhance existing treatment frameworks, potentially transforming the trajectory of those traditionally deemed treatment resistant. Recommendations: We advocate the broader integration of CBT for EDs into specialist services across the care pathway to help improve outcomes for patients with complex eating disorders. Systematic training and supervision for multidisciplinary teams in this specialised therapeutic approach is recommended. Future research should investigate the long-term effectiveness of I-CBTE through longitudinal studies. Patient feedback on experiences of integrated models of care such as I-CBTE is also needed. In addition, systematic health economics studies should be conducted. Plain language summary: This case study, with commentaries from two other patients who have recovered from severe and longstanding anorexia nervosa, examines the use of Integrated Enhanced Cognitive Behavioural Therapy (I-CBTE) for a patient with severe and longstanding anorexia nervosa and multiple comorbidities. The patient had a history of multiple hospitalisations and was treated with various psychotropic medications without success for 17 years. However, she responded to I-CBTE. The model integrates multidisciplinary treatment to address the eating disorder and co-occurring conditions effectively. The patient achieved and maintained full remission from her eating disorder over the last 6 years, highlighting the effectiveness of the I-CBTE approach in patients with complex, longstanding and severe eating disorders. This intervention is cost-effective and has significant financial advantages for healthcare systems. The authors recommend further research into the long-term effectiveness of I-CBTE and broader integration of CBT for ED into clinical services and existing treatment frameworks to enhance care for patients with severe and longstanding eating disorders. Systematic training and supervision for multidisciplinary teams is needed and patient feedback on experiences of integrated models of care such as I-CBTE is also needed. Finally, systematic health economics studies should be conducted. [ABSTRACT FROM AUTHOR]

Background: People in late adulthood die by suicide at the highest rate worldwide. However, there are still no tools to help predict the risk of death from suicide in old age. Here, we leveraged the Survey of Health, Ageing, and Retirement in Europe (SHARE) prospective dataset to train and test a machine learning model to identify predictors for suicide in late life. Methods: Of more than 16,000 deaths recorded, 74 were suicides. We matched 73 individuals who died by suicide with people who died by accident, according to sex (28.8% female in the total sample), age at death (67 ± 16.4 years), suicidal ideation (measured with the EURO-D scale), and the number of chronic illnesses. A random forest algorithm was trained on demographic data, physical health, depression, and cognitive functioning to extract essential variables for predicting death from suicide and then tested on the test set. Results: The random forest algorithm had an accuracy of 79% (95% CI 0.60-0.92, p = 0.002), a sensitivity of.80, and a specificity of.78. Among the variables contributing to the model performance, the three most important factors were how long the participant was ill before death, the frequency of contact with the next of kin and the number of offspring still alive. Conclusions: Prospective clinical and social information can predict death from suicide with good accuracy in late adulthood. Most of the variables that surfaced as risk factors can be attributed to the construct of social connectedness, which has been shown to play a decisive role in suicide in late life. [ABSTRACT FROM AUTHOR]

BackgroundPeople in late adulthood die by suicide at the highest rate worldwide. However, there are still no tools to help predict the risk of death from suicide in old age. Here, we leveraged the Survey of Health, Ageing, and Retirement in Europe (SHARE) prospective dataset to train and test a machine learning model to identify predictors for suicide in late life.MethodsOf more than 16,000 deaths recorded, 74 were suicides. We matched 73 individuals who died by suicide with people who died by accident, according to sex (28.8% female in the total sample), age at death (67 ± 16.4 years), suicidal ideation (measured with the EURO-D scale), and the number of chronic illnesses. A random forest algorithm was trained on demographic data, physical health, depression, and cognitive functioning to extract essential variables for predicting death from suicide and then tested on the test set.ResultsThe random forest algorithm had an accuracy of 79% (95% CI 0.60-0.92, p = 0.002), a sensitivity of.80, and a specificity of.78. Among the variables contributing to the model performance, the three most important factors were how long the participant was ill before death, the frequency of contact with the next of kin and the number of offspring still alive.ConclusionsProspective clinical and social information can predict death from suicide with good accuracy in late adulthood. Most of the variables that surfaced as risk factors can be attributed to the construct of social connectedness, which has been shown to play a decisive role in suicide in late life.

Xi-Xin Fan,1,2,* Lichao Ye,3,* Ya-Hui Yang,1,2 Wen-Jian Huang,2,4 Chih-Yuan Ko2 1The School of Public Health, Fujian Medical University, Fuzhou, People’s Republic of China; 2Department of Clinical Nutrition, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, People’s Republic of China; 3Department of Neurology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, People’s Republic of China; 4Huidong Center for Chronic Disease Control, Huizhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chih-Yuan Ko, Department of Clinical Nutrition, The Second Affiliated Hospital of Fujian Medical University, No. 34, Zhongshanbei Road, Licheng District, Quanzhou, Fujian Province, 362000, People’s Republic of China, Tel +86 0595-26655200, Email yuanmomoko@gmail.comPurpose: Migraine is a complex neurovascular disorder with obesity as a notable risk factor. This study aimed to investigate an under-researched area of the association between migraine duration and body composition.Patients and Methods: Patients with migraine from a neurology outpatient department were enrolled and were categorized into four groups based on illness duration: 1 year, 1– 5 years, 5– 10 years, and > 10 years. Patient demographics, blood biochemistry, and body composition data were collected and analyzed statistically.Results: Patients with migraine were predominantly female, with lower education levels, significant work stress, poor sleep, and limited exercise. Longer migraine duration corresponded to increased obesity metrics. Notably, those patients with under 1 year of illness showed elevated blood lipid and liver function levels, whereas those with > 10 years showed increased weight, waist circumference, body mass index, and fat content, despite higher physical activity. Significant positive correlation between obesity metrics and migraine duration was seen in patients who had migraine for > 1 year.Conclusion: Our findings indicate that protracted episodes of migraine could amplify obesity tendencies, underscoring the imperative of weight regulation in migraine intervention to diminish ensuing adiposity-associated hazards.Keywords: migraine, illness duration, obesity, body composition

Background: Cancer is, no doubt, a life-threatening illness, and it has a long-term effect on the physical and mental health of the patients, particularly on their quality of life (QOL). The present article is an attempt to examine the role of socioeconomic factors, illness duration and spirituality on the QOL of cancer patients. Methods: The sample consisted of 200 cancer patients (100 men and 100 women patients) belonging to the state of Tripura, a Northeastern state of India. Out of 200 cancer patients, most of them (100, 50%) were suffering from oral cancer, followed by lung and breast cancer. General Information Schedule, Quality of Life Patient/Cancer Survivor Version (developed by Ferrell, Hassey-Dow and Grant), and The Spiritual Experience Index- Revised (developed by Genia) were used for data collection. For analysis of data, independent t-test, analysis of variance, and multiple linear regression were computed. The statistical analysis was carried out using IBM SPSS Version 25.0. Results: The findings showed no significant difference in QOL scores among the subgroups of cancer patients in socioeconomic and illness factor, except for family income. Further analysis revealed that only spirituality and educational qualification of cancer patients significantly predicted their QOL. Conclusion: The current article can act as a springboard for further studies in this area and provide aid for socioeconomic development while improvising cancer patients' QOL. [ABSTRACT FROM AUTHOR]

HIV is a chronic condition that requires ongoing medical management, and sleep disturbances are common among individuals living with the virus. By examining the relationship between the duration of illness and sleep quality, healthcare professionals can gain insights into the unique challenges faced by HIV patients and develop targeted interventions to address their specific sleep-related needs. This study aims to find out the relationship between the illness duration and the quality of sleep among people living with HIV/AIDS. This research used an observational research design using a cross-sectional approach. 128 HIV patients on Balai Kesehatan Masyarakat Wilayah Semarang were involved in using purposive sampling techniques. The data was gathered with medical records and the Pittsburgh Sleep Quality Index (PSQI). Spearman rank correlations were used to analyze the data. This study has been declared ethically appropriate by the Health Research Ethics Committee faculty of Nursing Universitas Islam Sultan Agung. The results found a relationship between the illness duration and quality of sleep where a p-value of 0.019 < α (0.05) with a contingency coefficient value of 0.208. The length of diagnosis and sleep quality have a strong correlation. Nurses and other healthcare providers need to provide interventions for PLHIV to improve sleep quality.

Abstract Background The severity criteria for eating disorders (EDs) proposed in the DSM-5 have been established without sufficient empirical support. Drive for thinness (DT) and duration of illness have been proposed as two alternative severity measures, however their empirical evidence is also limited. To date, no research has assessed the validity of current eating disorder (ED) severity criteria regarding cognitive flexibility factors. Cognitive flexibility is often impaired in EDs, becoming a possible severity symptom. The current study assessed for the first time (1) whether the severity indexes for EDs proposed in the DSM-5 were associated with deficits in cognitive flexibility and, (2) whether drive for thinness and illness duration, acted as an alternative, more meaningful severity indices for deficiencies in cognitive flexibility. Methods Participants were 161 patients diagnosed with an ED, who were categorized according to DSM-5 severity categories, DT and duration of illness. Discriminative capacity of each classification was assessed for cognitive flexibility measured by Wisconsin card sorting test (WCST). Results The findings for the DSM-5 classification comprised: (a) In the anorexia nervosa (AN) group, patients with moderate severity showed better scores in WCST than patients with mild and severe/extreme severity. Also, patients with moderate severity showed lower percentage of cognitive flexibility deficits than the other two severity categories; (b) For the binge spectrum disorders (BSD) group, the patients with mild severity showed a higher percentage of cognitive flexibility deficits than did the moderate and severe/extreme categories. When assessing the alternative severity index of DT, no differences were found in cognitive flexibility in any of the groups. Regarding illness duration, in the AN group the task performance of the patients with longer illness duration was worse than the performance of the short duration group and, in the BSD group, patients with longer duration also showed more deficits in cognitive flexibility than the patients with shorter duration of illness. Conclusions Our findings point out the limitations of the DSM-5 severity criteria to categorize cognitive flexibility in EDs and support illness duration as an alternative severity approach for EDs.

Background: The severity criteria for eating disorders (EDs) proposed in the DSM-5 have been established without sufficient empirical support. Drive for thinness (DT) and duration of illness have been proposed as two alternative severity measures, however their empirical evidence is also limited. To date, no research has assessed the validity of current eating disorder (ED) severity criteria regarding cognitive flexibility factors. Cognitive flexibility is often impaired in EDs, becoming a possible severity symptom. The current study assessed for the first time (1) whether the severity indexes for EDs proposed in the DSM-5 were associated with deficits in cognitive flexibility and, (2) whether drive for thinness and illness duration, acted as an alternative, more meaningful severity indices for deficiencies in cognitive flexibility. Methods: Participants were 161 patients diagnosed with an ED, who were categorized according to DSM-5 severity categories, DT and duration of illness. Discriminative capacity of each classification was assessed for cognitive flexibility measured by Wisconsin card sorting test (WCST). Results: The findings for the DSM-5 classification comprised: (a) In the anorexia nervosa (AN) group, patients with moderate severity showed better scores in WCST than patients with mild and severe/extreme severity. Also, patients with moderate severity showed lower percentage of cognitive flexibility deficits than the other two severity categories; (b) For the binge spectrum disorders (BSD) group, the patients with mild severity showed a higher percentage of cognitive flexibility deficits than did the moderate and severe/extreme categories. When assessing the alternative severity index of DT, no differences were found in cognitive flexibility in any of the groups. Regarding illness duration, in the AN group the task performance of the patients with longer illness duration was worse than the performance of the short duration group and, in the BSD group, patients with longer duration also showed more deficits in cognitive flexibility than the patients with shorter duration of illness. Conclusions: Our findings point out the limitations of the DSM-5 severity criteria to categorize cognitive flexibility in EDs and support illness duration as an alternative severity approach for EDs. Plain English summary: The current severity criteria for eating disorders were defined without enough evidence and present several limitations. Therefore, some researchers proposed alternative criteria like the drive for thinness or the duration of the disorder. Eating disorders are characterized by cognitive impairments such as deficits in cognitive flexibility. Cognitive flexibility is the ability to adapt our behaviour to the needs of the environment. According to our results, current severity criteria do not classify correctly in terms of cognitive flexibility. Moreover, this study shows that patients with longer illness duration show less cognitive flexibility. Therefore, this study highlights the limitations of current severity criteria for eating disorder to classify according to cognitive flexibility. Our findings also show the importance of taking into account the illness duration in order to assess the severity of the disorder. [ABSTRACT FROM AUTHOR]

Brain structural covariance networks reflect covariation in morphology of different brain areas and are thought to reflect common trajectories in brain development and maturation. Large-scale investigation of structural covariance networks in obsessive-compulsive disorder (OCD) may provide clues to the pathophysiology of this neurodevelopmental disorder. Using T1-weighted MRI scans acquired from 1616 individuals with OCD and 1463 healthy controls across 37 datasets participating in the ENIGMA-OCD Working Group, we calculated intra-individual brain structural covariance networks (using the bilaterally-averaged values of 33 cortical surface areas, 33 cortical thickness values, and six subcortical volumes), in which edge weights were proportional to the similarity between two brain morphological features in terms of deviation from healthy controls (i.e. z-score transformed). Global networks were characterized using measures of network segregation (clustering and modularity), network integration (global efficiency), and their balance (small-worldness), and their community membership was assessed. Hub profiling of regional networks was undertaken using measures of betweenness, closeness, and eigenvector centrality. Individually calculated network measures were integrated across the 37 datasets using a meta-analytical approach. These network measures were summated across the network density range of K = 0.10-0.25 per participant, and were integrated across the 37 datasets using a meta-analytical approach. Compared with healthy controls, at a global level, the structural covariance networks of OCD showed lower clustering (P

This paper presents new data about diabetes prevalence and illness duration from a population of patients with diabetes Type 1(43,818) and Type 2 (457,247). Unlike the usual approach that employs adjusted estimates in similar prevalence reports, this study extracts data from a large number of original clinical documents such as all the outpatient records (6,887,876) issued in Bulgaria to all the 501,065 patients with diabetics during 2018 (9.77% of all the 5,128,172 patients recorded in 2018, 4.43% male and 5.35% female). Diabetes prevalence data are described in terms of distributions of Type 1 and Type 2 diabetes over age and gender. It is mapped to an Observational Medical Outcomes Partnership Common Data Model that is publicly available. The distribution of Type 2 diabetics agrees with peak values of BMI established in related research. A major novelty in this research are the data about the diabetes illness duration. It is an essential metric for evaluating the quality of processes evolving over time. Accurate estimates are obtained for the duration measured in years of Type 1 (95% CI 10.92, 11.08) and Type 2 (95% CI 7.97, 8.02) diabetics from the Bulgarian population. The patients with diabetes Type 1 have longer diabetes duration relatively to those with Type 2. It is recommended to include this metric in official diabetes prevalence reports. [ABSTRACT FROM AUTHOR]

Background and Hypothesis Previous studies have reported effects of antipsychotic treatment and illness duration on brain features. This study used a machine learning approach to examine whether these factors in aggregate impacted the utility of MRI features for differentiating individual schizophrenia patients from healthy controls. Study Design This case-control study used patients with never-treated first-episode schizophrenia (FES, n = 179) and long-term ill schizophrenia (LTSZ, n = 30), with follow-up of the FES group after treatment (n = 71), a group of patients who had received long-term antipsychotic treatment (n = 93) and age and sex-matched healthy controls (n = 373) for each patient group. A multiple kernel learning classifier combining both structural and functional brain features was used to discriminate individual patients from controls. Study Results MRI features differentiated untreated FES (0.73) and LTSZ (0.83) patients from healthy controls with moderate accuracy, but accuracy was significantly higher in antipsychotic-treated FES (0.94) and LTSZ (0.98) patients. Treatment was associated with significantly increased accuracy of case identification in both early course and long-term ill patients (both p <.001). Effects of illness duration, examined separately in treated and untreated patients, were less robust. Conclusions Our results demonstrate that initiation of antipsychotic treatment alters brain features in ways that further distinguish individual schizophrenia patients from healthy individuals, and have a modest effect of illness duration. Intrinsic illness-related brain alterations in untreated patients, regardless of illness duration, are not sufficiently robust for accurate identification of schizophrenia patients. [ABSTRACT FROM AUTHOR]

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Objective: Despite an increase in eating disorder (ED) cases during the COVID-19 pandemic, there are limited longitudinal studies exploring treatment outcomes. The aims of the present study were: (1) to compare the clinical features of patients with EDs whose onset was during the COVID-19 lockdown (pandemic cohort) against patients with EDs whose onset was prior to the pandemic (pre-pandemic cohort) and, (2) to compare therapy responses between the cohorts., Method: The sample consisted of 115 adult women with an ED. N = 37 new ED cases (pandemic cohort) were diagnosed and included in the study during the pandemic (May 2020-May 2021); these patients did not have any previous history of an ED. We also included N = 78 ED cases (pre-pandemic cohort) diagnosed prior to the COVID-19 pandemic breakout (prior to March 2020). All ED subtypes were considered in both groups and several clinical variables were assessed., Results: At baseline, pandemic cohort reported lower levels of impulsivity and higher emotional regulation capacities than the pre-pandemic cohort; however, no differences were found in aspects of general psychopathology and ED related severity. Following treatment, the pandemic cohort showed higher rates of good outcome and lower rates of dropouts than the pre-pandemic cohort., Conclusions: Although both cohorts showed similar ED-related symptoms and general psychopathology scores, treatment outcomes were more favourable in the pandemic cohort., (© 2024 The Author(s). European Eating Disorders Review published by Eating Disorders Association and John Wiley & Sons Ltd.)

BackgroundIndividuals with schizophrenia exhibit marked and disproportional impairment in social cognition, which is associated with their level of community functioning. However, it is unclear whether social cognitive impairment is stable over time, or if impairment worsens as a function of illness chronicity. Moreover, little is known about the longitudinal associations between social cognition and community functioning.MethodForty-one outpatients with schizophrenia completed tests of emotion processing (Mayer-Salovey-Caruso Emotional Intelligence Test, MSCEIT) and social perception (Relationships Across Domains, RAD) at baseline and approximately five years later. Stability of performance was assessed using paired t-tests and correlations. Longitudinal associations between social cognition and community functioning (Role Functioning Scale, RFS) were assessed using cross-lagged panel correlation analysis.ResultsPerformance on the two social cognition tasks were stable over follow-up. There were no significant mean differences between assessment points [p's≥0.20, Cohen'sd's≤|0.20|], and baseline performance was highly correlated with performance at follow-up [ρ's≥0.70, ICC≥0.83, p's

Poor performance in executive functions is observed in individuals with eating disorders (EDs). These impairments have usually been associated with the presence of comorbid psychopathology or with higher severity of EDs. However, few studies have explored the interaction between illness duration and deficits in executive functions. The present study investigates the association between ED duration and performance in decision-making, inhibitory control, and cognitive flexibility in the anorexia nervosa restrictive subtype (AN-R), bulimic/purging subtype (AN-BP), and binge spectrum disorders (BSDs) (namely, bulimia nervosa and binge eating disorder) among 116 women with EDs compared with 123 women healthy controls (HCs). Using cumulative survival analysis, we estimated the risk of deficits related to illness duration. Predictors of executive dysfunctions were assessed by regression analysis, including as potential predictors illness duration, severity of general psychopathology, and ED symptomatology. Results showed poor decision-making and cognitive flexibility in participants with EDs compared with HCs. ED duration was associated with poor inhibitory control in the AN-BP group and poor cognitive flexibility in the BSD group. The illness duration increased the risk of presenting early deficits in executive function. In decision-making and inhibitory control, the AN-R group showed the earliest deficits, whereas in cognitive flexibility it was the BSD group. ED duration predicted impaired cognitive flexibility in the BSD group and impaired inhibitory control in the AN-BP group, whereas the severity of general psychopathological symptoms was a predictor of impaired cognitive flexibility in individuals with AN-R. These results highlight the relevance of illness duration in executive dysfunctions in EDs. [ABSTRACT FROM AUTHOR]

Background: Individuals with schizophrenia exhibit greater inter-patient variability in functional brain activity during neurocognitive task performance. Some studies have shown associations of age and illness duration with brain function; however, the association of these variables with variability in brain function activity is not known. In order to better understand the progressive effects of age and illness duration across disorders, we examined the relationship with individual variability in brain activity. Methods: Neuroimaging and behavioural data were extracted from harmonized datasets collectively including 212 control participants, 107 individuals with bipolar disorder, and 232 individuals with schizophrenia (total n = 551). Functional activity in response to an N-back working memory task (2-back vs 1-back) was examined. Individual variability was quantified via the correlational distance of fMRI activity between participants; mean correlational distance of one participant in relation to all others was defined as a ‘variability score’. Results: Greater individual variability was found in the schizophrenia group compared to the bipolar disorder and control groups (p = 1.52e−09). Individual variability was significantly associated with aging (p = 0.027), however, this relationship was not different across diagnostic groups. In contrast, in the schizophrenia sample only, a longer illness duration was associated with increased variability (p = 0.027). Conclusion: An increase in variability was observed in the schizophrenia group related to illness duration, beyond the effects of normal aging, implying illness-related deterioration of cognitive networks. This has clinical implications for considering long-term trajectories in schizophrenia and progressive neural and cognitive decline which may be amiable to novel treatments.

Background: Convergent evidence is increasing to indicate progressive brain abnormalities in schizophrenia. Knowing the brain network features over the illness course in schizophrenia, independent of effects of antipsychotic medications, would extend our sight on this question. Methods: We recruited 237 antipsychotic-naive patients with schizophrenia range from 16 to 73 years old, and 254 healthy controls. High-resolution T1 weighted images were obtained with a 3.0T MR scanner. Grey matter networks were constructed individually based on the similarities of regional grey matter measurements. Network metrics were compared between patient groups and healthy controls, and regression analyses with age were conducted to determine potential differential rate of age-related changes between them. Findings: Nodal centrality abnormalities were observed in patients with untreated schizophrenia, particularly in the central executive, default mode and salience networks. Accelerated age-related declines and illness duration-related declines were observed in global assortativity, and in nodal metrics of left superior temporal pole in schizophrenia patients. Although no significant intergroup differences in age-related regression were observed, the pattern of network metric alternation of left thalamus indicated higher nodal properties in early course patients, which decreased in long-term ill patients. Interpretations: Global and nodal alterations in the grey matter connectome related to age and duration of illness in antipsychotic-naive patients, indicating potentially progressive network organizations mainly involving temporal regions and thalamus in schizophrenia independent from medication effects. Funding: The National Natural Science Foundation of China, Sichuan Science and Technology Program, the Fundamental Research Funds for the Central Universities, Post-Doctor Research Project, West China Hospital, Sichuan University , the Science and Technology Project of the Health Planning Committee of Sichuan, Postdoctoral Interdisciplinary Research Project of Sichuan University and 1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University.

IntroductionAnorexia nervosa (AN) promotes psychological distress in caregivers who adopt different coping strategies. Dysfunctional caregiving styles exacerbate further distress in the patient promoting the maintenance of the illness. We aimed to assess the possible contribution of personality traits of caregivers to the adoption of different coping strategies to deal with the affected relative.MethodsAbout 87 adolescents with AN were recruited. Their parents completed the Family Coping Questionnaire for Eating Disorders (FCQ-EDs) and the Temperament and Character Inventory-Revised (TCI-R). Differences between mothers and fathers were assessed through the independent sample t-test. Multivariate regression analyses were run to assess if personality traits, the occurrence of psychiatry conditions in the parents, the marital status, and the duration of the illness predicted parental coping strategies.ResultsThe group of mothers showed higher levels of avoidance and seeking for information coping strategies than the sample of fathers. Lower illness duration predicted higher collusion with the illness in both parents. Harm avoidance, cooperativeness, and self-directedness positively predicted parental coercion, collusion, and seeking for information strategies with some differences between mothers and fathers.DiscussionIllness duration and personality traits of parents affect the type of parental coping strategies developed to face AN in adolescents. These variables should be considered in the assessment of families of adolescents with AN and may be addressed to promote more fine-tuned clinical interventions for caregivers.

Introduction: Anorexia nervosa (AN) promotes psychological distress in caregivers who adopt different coping strategies. Dysfunctional caregiving styles exacerbate further distress in the patient promoting the maintenance of the illness. We aimed to assess the possible contribution of personality traits of caregivers to the adoption of different coping strategies to deal with the affected relative. Methods: About 87 adolescents with AN were recruited. Their parents completed the Family Coping Questionnaire for Eating Disorders (FCQ-EDs) and the Temperament and Character Inventory-Revised (TCI-R). Differences between mothers and fathers were assessed through the independent sample t -test. Multivariate regression analyses were run to assess if personality traits, the occurrence of psychiatry conditions in the parents, the marital status, and the duration of the illness predicted parental coping strategies. Results: The group of mothers showed higher levels of avoidance and seeking for information coping strategies than the sample of fathers. Lower illness duration predicted higher collusion with the illness in both parents. Harm avoidance, cooperativeness, and self-directedness positively predicted parental coercion, collusion, and seeking for information strategies with some differences between mothers and fathers. Discussion: Illness duration and personality traits of parents affect the type of parental coping strategies developed to face AN in adolescents. These variables should be considered in the assessment of families of adolescents with AN and may be addressed to promote more fine-tuned clinical interventions for caregivers. [ABSTRACT FROM AUTHOR]

Objectives: Previous studies showed that the illness duration is related with cognitive performance in patients with schizophrenia. The Wechsler Adult Intelligence Scale (WAIS) has been used extensively to assess the cognitive function in schizophrenia in both research and clinical practice. In this study, we intended to analyze whether a correlation exists between the indices of short-form WAIS-III and demographic/clinical data (including illness duration, age at onset, and years of education). Methods: We included 34 patients with schizophrenia from a tertiary hospital in Taiwan. Each participant received assessment with the short-form WAIS-III, consisting of seven core subtests. It provided scores for verbal intelligence quotient (VIQ), performance intelligence quotient (PIQ), full-scale intelligence quotient (FSIQ), and four secondary indexes (verbal comprehension, working memory, perceptual organization, and processing speed). Data were analyzed for correlation. Results: The results showed that patients' age at onset was significantly negatively correlated with years of education (p < 0.05). Significantly positive correlations existed between years of education and WAIS-III, including VIQ (p < 0.01), PIQ (p < 0.05), FSIQ (p < 0.05), VC (verbal comprehension) (p < 0.05), PS (processing speed) (p < 0.05), similarities (p < 0.05), information (p < 0.05), picture completion (p < 0.05), and digit symbol coding (p < 0.05). The negative correlations also significantly existed between age at onset and WAIS-III (p < 0.05), including VIQ (p < 0.05), FSIQ (p < 0.05), PO (Perceptual Organization) (p < 0.05), similarities (p < 0.05), arithmetic (p < 0.05), and block design (p < 0.05). The significant positive correlations were also found between illness duration and WAIS-III, including PS (p < 0.05), digit span (p < 0.05), and digit symbol coding (p < 0.01). Conclusion: The study that positive correlations existed between illness duration and cognitive function differs from previous studies. Those preliminary results also suggest that the education can maintain cognitive function, at least partially, even those have early-onset schizophrenia.

Background The performance of real-time reverse transcription polymerase chain reaction (rRT-PCR) for SARS-CoV-2 varies with sampling site(s), illness stage, and infection site. Methods Unilateral nasopharyngeal, nasal midturbinate, throat swabs, and saliva were simultaneously sampled for SARS-CoV-2 rRT-PCR from suspected or confirmed cases of COVID-19. True positives were defined as patients with at least 1 SARS-CoV-2 detected by rRT-PCR from any site on the evaluation day or at any time point thereafter, until discharge. Diagnostic performance was assessed and extrapolated for site combinations. Results We evaluated 105 patients; 73 had active SARS-CoV-2 infection. Overall, nasopharyngeal specimens had the highest clinical sensitivity at 85%, followed by throat, 80%, midturbinate, 62%, and saliva, 38%–52%. Clinical sensitivity for nasopharyngeal, throat, midturbinate, and saliva was 95%, 88%, 72%, and 44%–56%, respectively, if taken ≤7 days from onset of illness, and 70%, 67%, 47%, 28%–44% if >7 days of illness. Comparing patients with upper respiratory tract infection (URTI) vs pneumonia, clinical sensitivity for nasopharyngeal, throat, midturbinate, and saliva was 92% vs 70%, 88% vs 61%, 70% vs 44%, 43%–54% vs 26%–45%, respectively. A combination of nasopharyngeal plus throat or midturbinate plus throat specimen afforded overall clinical sensitivities of 89%–92%; this rose to 96% for persons with URTI and 98% for persons ≤7 days from illness onset. Conclusions Nasopharyngeal specimens, followed by throat specimens, offer the highest clinical sensitivity for COVID-19 diagnosis in early illness. Clinical sensitivity improves and is similar when either midturbinate or nasopharyngeal specimens are combined with throat specimens. Upper respiratory specimens perform poorly if taken after the first week of illness or if there is pneumonia. [ABSTRACT FROM AUTHOR]

Background: We explored the utility of "staging" anorexia nervosa (AN) by duration of illness and psychological wellbeing. We also investigated 12‐month symptom trajectories and service usage in a large cohort of patients with AN assessed for outpatient treatment. Method: We conducted secondary analyses on data from a multisite clinical trial of adults with AN (n = 187) recruited from 22 NHS England specialist eating disorder (ED) services into a digital treatment augmentation study. Clinical outcomes and service use were measured at postintervention (six weeks), 6 and 12 months. We grouped patients into two categories: "early stage" (illness duration <3 years; n = 60) and "severe and enduring" stage (SE‐AN; n = 41) indicated by distress (Depression Anxiety and Stress Scales, DASS ≥60) and illness duration (≥7 years). Results: At 12 months, patients reported large improvements in body mass index, small to moderate improvements in ED symptoms, mood, and work/social adjustment, and 23.6% met criteria for recovery. However, patients classified as SE‐AN reported higher rates of accessing intensive services, higher ED symptomatology, and poorer work/social adjustment at baseline, and lower rates of improvement in work/social adjustment at 12 months compared to "early stage" respondents. Discussion: Although present findings suggest overall symptomatic improvements, exploratory results highlight marked differences in course and service use between people at different stages of AN, suggesting a need to consider staging for clinical decision‐making. Further research differentiating between clinical subtypes of AN and adoption of a more personalized approach may ensure that services and care pathways better fit patient needs. [ABSTRACT FROM AUTHOR]

Objective: Patients with schizophrenia have visual processing impairments. The main findings from the literature indicate that these deficits may be related to differences in paradigms, medications, and illness duration. This study is part of a large-scale study investigating visual sensitivity in schizophrenia. Here we aimed to investigate the combined effects of illness duration and antipsychotic use on contrast sensitivity function. Methods: Data were collected from 50 healthy controls and 50 outpatients with schizophrenia (classified according to illness duration and medication type) aged 20-45 years old. The contrast sensitivity function was measured for spatial frequencies ranging from 0.2 to 20 cycles per degree using linear sine-wave gratings. Results: Patients with an illness duration 4 5 years had more pronounced deficits. Differences in the combined effects of illness duration and antipsychotic use were marked in patients on typical antipsychotics who had been ill 4 10 years. No significant differences were found between typical and atypical antipsychotics in patients with an illness duration o 5 years. Conclusion: Visual impairment was related to both long illness duration and medication type. These results should be tested in further studies to investigate pharmacological mechanisms. [ABSTRACT FROM AUTHOR]

There is mounting evidence regarding the role of gut microbiota in anorexia nervosa (AN). Previous studies have reported that patients with AN show dysbiosis compared to healthy controls (HCs); however, the underlying mechanisms are unclear, and data on influencing factors and longitudinal course of microbiome changes are scarce. Here, we present longitudinal data of 57 adolescent inpatients diagnosed with AN at up to nine time points (including a 1-year follow-up examination) and compare these to up to six time points in 34 HCs. 16S rRNA gene sequencing was used to investigate the microbiome composition of fecal samples, and data on food intake, weight change, hormonal recovery (leptin levels), and clinical outcomes were recorded. Differences in microbiome composition compared to HCs were greatest during acute starvation and in the low-weight group, while diminishing with weight gain and especially weight recovery at the 1-year follow-up. Illness duration and prior weight loss were strongly associated with microbiome composition at hospital admission, whereas microbial changes during treatment were associated with kilocalories consumed, weight gain, and hormonal recovery. The microbiome at admission was prognostic for hospital readmission, and a higher abundance of Sutterella was associated with a higher body weight at the 1-year follow-up. Identifying these clinically important factors further underlines the potential relevance of gut microbial changes and may help elucidate the underlying pathophysiology of gut-brain interactions in AN. The characterization of prognostically relevant taxa could be useful to stratify patients at admission and to potentially identify candidate taxa for future supplementation studies aimed at improving AN treatment.

Our study assesses the influence of illness duration before establishing the diagnosis of brucellosis and initiating therapy on patients' main clinical characteristics and outcome in an endemic area. The medical files of 297 patients with brucellosis were retrospectively analysed. They were divided into four groups according to illness duration before initiating therapy: <10 days; 11-30 days; 31-90 days; and >90 days. There were significant differences in the occurrences of fever (P = 0.019), focal forms (P = 0.026), spondylitis (P = 0.034) and therapeutic failures (P = 0.006) between the groups. Duration of >30 days before treatment initiation is responsible for more serious clinical presentation and outcome, whereas illness duration of >90 days further worsens the clinical progression in human brucellosis. [ABSTRACT FROM AUTHOR]

Objectives: There is evidence that the gut microbiota plays a major role in the pathogenesis of diseases of the central nervous system through the gut–brain axis. The aim of the present study was to analyze gut microbiota composition in bipolar disorder (BD) and its relation to inflammation, serum lipids, oxidative stress, tryptophan (TRP)/kynurenine (KYN) levels, anthropometric measurements and parameters of metabolic syndrome. Further, microbial community differences of individuals with BD compared with healthy controls (HC) were explored. Methods: In this cross‐sectional study, we performed 16S rRNA gene sequencing of stool samples from 32 BD individuals and 10 HC. Laboratory parameters included inflammatory markers, serum lipids, KYN, oxidative stress and anthropometric measures. Microbial community analysis and correlation to clinical parameters was performed with QIIME, differential abundance analysis of taxa encompassed linear discriminant analysis effect size (LEfSe). Results: We found a negative correlation between microbial alpha‐diversity and illness duration in BD (R = −0.408, P = 0.021). Furthermore, we identified bacterial clades associated with inflammatory status, serum lipids, TRP, depressive symptoms, oxidative stress, anthropometrics and metabolic syndrome in individuals with BD. LEfSe identified the phylum Actinobacteria (LDA= 4.82, P = 0.007) and the class Coriobacteria (LDA= 4.75, P = 0.010) as significantly more abundant in BD when compared with HC, and Ruminococcaceae (LDA= 4.59, P = 0.018) and Faecalibacterium (LDA= 4.09, P = 0.039) as more abundant in HC when compared with BD. Conclusions: The present findings suggest that causes and/or consequences of BD may also lie outside the brain. Exploratory research of the gut microbiota in affective disorders like BD may identify previously unknown underlying causes, and offer new research and therapeutic approaches to mood disorders. [ABSTRACT FROM AUTHOR]

Background: Patients with major depression show reduced hippocampal volume compared to healthy controls. However, the contribution of patients’ cumulative illness severity to hippocampal volume has rarely been investigated. It was the aim of our study to find a composite score of cumulative illness severity that is associated with hippocampal volume in depression. Methods: We estimated hippocampal gray matter volume using 3-tesla brain magnetic resonance imaging in 213 inpatients with acute major depression according to DSM-IV criteria (employing the SCID interview) and 213 healthy controls. Patients’ cumulative illness severity was ascertained by six clinical variables via structured clinical interviews. A principal component analysis was conducted to identify components reflecting cumulative illness severity. Regression analyses and a voxel-based morphometry approach were used to investigate the influence of patients’ individual component scores on hippocampal volume. Results: Principal component analysis yielded two main components of cumulative illness severity: Hospitalization and Duration of Illness. While the component Hospitalization incorporated information from the intensity of inpatient treatment, the component Duration of Illness was based on the duration and frequency of illness episodes. We could demonstrate a significant inverse association of patients’ Hospitalization component scores with bilateral hippocampal gray matter volume. This relationship was not found for Duration of Illness component scores. Conclusions: Variables associated with patients’ history of psychiatric hospitalization seem to be accurate predictors of hippocampal volume in major depression and reliable estimators of patients’ cumulative illness severity. Future studies should pay attention to these measures when investigating hippocampal volume changes in major depression. [ABSTRACT FROM AUTHOR]

Leber’s hereditary optic neuropathy (LHON) is one of the mitochondrial diseases that causes loss of central vision, progressive impairment and subsequent degeneration of retinal ganglion cells (RGCs). In recent years, diffusion tensor imaging (DTI) studies have revealed structural abnormalities in visual white matter tracts, such as the optic tract, and optic radiation. However, it is still unclear if the disease alters only some parts of the white matter architecture or whether the changes also affect other subcortical areas of the brain. This study aimed to improve our understanding of morphometric changes in subcortical brain areas and their associations with the clinical picture in LHON by the application of a submillimeter surface-based analysis approach to the ultra-high-field 7T magnetic resonance imaging data. To meet these goals, fifteen LHON patients and fifteen age-matched healthy subjects were examined. For all individuals, quantitative analysis of the morphometric results was performed. Furthermore, morphometric characteristics which differentiated the groups were correlated with variables covering selected aspects of the LHON clinical picture. Compared to healthy controls (HC), LHON carriers showed significantly lower volume of both palladiums (left p = 0.023; right p = 0.018), the right accumbens area (p = 0.007) and the optic chiasm (p = 0.014). Additionally, LHON patients have significantly higher volume of both lateral ventricles (left p = 0.034; right p = 0.02), both temporal horns of the lateral ventricles (left p = 0.016; right p = 0.034), 3rd ventricle (p = 0.012) and 4th ventricle (p = 0.002). Correlation between volumetric results and clinical data showed that volume of both right and left lateral ventricles significantly and positively correlated with the duration of the illness (left R = 0.841, p = 0.002; right R = 0.755, p = 0.001) and the age of the LHON participants (left R = 0.656, p = 0.007; right R = 0.691, p = 0.004). The abnormalities in volume of the LHON patients’ subcortical structures indicate that the disease can cause changes not only in the white matter areas constituting visual tracts, but also in the other subcortical brain structures. Furthermore, the correlation between those results and the illness duration suggests that the disease might have a neurodegenerative nature; however, to fully confirm this observation, longitudinal studies should be conducted.

Schizophrenia research based on traditional assessment measures for negative symptoms appears to be, to some extent, unreliable. The limitations of the Positive and Negative Syndrome Scale (PANSS) and the Scale for the Assessment of Negative Symptoms (SANS) have been extensively acknowledged and should be taken into account. The aim of this study is to show how the PANSS and the SANS conflate negative symptoms and cognition and to offer alternatives for the limitations found. Methods A sample of 117 participants with schizophrenia from two independent studies was retrospectively investigated. Linear regression models were computed to explore the effect of negative symptoms and illness duration as predictors of cognitive performance. Results For the PANSS, the item “abstract thinking” accounted for the association between negative symptoms and cognition. For the SANS, the “attention” subscale predicted the performance in verbal memory, but illness duration emerged as a stronger predictor than negative symptoms for outcomes of processing speed, verbal and working memory. Conclusion Utilizing alternative models to the traditional PANSS and SANS formats, and accounting for illness duration, provide more precise evidence on the relationship between negative symptoms and cognition. Since these measures are still extensively utilized, we recommend adopting more rigorous approaches to avoid misleading results. [ABSTRACT FROM AUTHOR]

Introduction: Diffusion tensor imaging has revealed differences in all examined white matter tracts in schizophrenia, with a range of explanations for why this may be. The distribution and timing of differences may help explain their origin; however, results are usually dependent on the analytical method. We therefore sought to examine the extent of differ- ences and their relationship with age using two different methods. Methods: A combined voxel-based whole-brain study and a tract-based spatial-statistics study of 104 patients with schizophrenia and 200 matched healthy controls, aged between 17 and 63 years. Results: Fractional anisotropy was reduced throughout the brain in both analyses. The relationship of fractional anisotropy with age differed between patients and controls, with controls showing the gentle fractional anisotropy decline widely noted but patients showing an essentially flat relationship: younger patients had lower fractional anisotropy than controls, but the difference disappeared with age. Mean diffusivity was widely increased in patients. Conclusion: Reduction in fractional anisotropy and increase in mean diffusivity would be consistent with global disruption in myelination; the relationship with age would suggest this is present already at the onset of their illness, but does not progress. [ABSTRACT FROM AUTHOR]

Recently there is a growing interest in the interaction of schizophrenia spectrum disorders (SSD) and substance use disorders (SUD), a condition named dual schizophrenia spectrum disorders (SSD+). While previous research has focused on clinical and cognitive aspects, little is known about the impact of comorbidity in the brain structure and functions. Evidence suggests that dual diagnosis patients, including SSD+, show a better neurocognitive functioning during the first years of illness, followed by a serious long-term decline. The initial search retrieved 94 articles, 12 were excluded for being redundant and 49 for not fulfilling the selection criteria. Thirty-three structural and functional neuroimaging studies that compare SSD and SSD+ patients were included. Both groups exhibited more brain alterations, in comparison to only SUD patients and healthy controls. SSD+ patients are less cognitively and emotionally impaired than non-dual SSD, but worse than healthy controls. The neurobiological alterations are prominent in SSD+ after five years of illness or longer. Moreover, SUD characteristics are important modulating factors, contrary to clinical severity or specific SSD diagnosis. [ABSTRACT FROM AUTHOR]

Counterfactual thinking (CFT) is a type of conditional reasoning involving mental representations of alternatives to past factual events that previous preliminary research has suggested to be impaired in schizophrenia. However, despite the potential impact of these deficits on the functional outcome of these patients, studies examining the role of CFT in this disorder are still few in number. The present study aimed to extent previous results by evaluating CFT in the largest sample to date of schizophrenia patients in symptomatic remission and healthy controls. The relationship with symptomatology, illness duration, and sociodemographic characteristics was also explored. Methods: Seventy-eight schizophrenia patients and 84 healthy controls completed a series of tests that examined the generation of counterfactual thoughts, the influence of the "causal order effect," and the ability to counterfactually derive inferences by using de Counterfactual Inference Test. Results: Compared with controls, patients generated fewer counterfactual thoughts when faced with a simulated scenario. This deficit was negatively related to scores on all dimensions of the Positive and Negative Syndrome Scale-PANNS, as well as to longer illness duration. The results also showed that schizophrenia patients deviated significantly from the normative pattern when generating inferences from CFT. Conclusions: These findings reveal CFT impairment to be present in schizophrenia even when patients are in symptomatic remission. However, symptomatology and illness duration may have a negative influence on these patients' ability to generate counterfactual thoughts. The results might support the relevance of targeting CFT in future treatment approaches, although further research is needed to better describe the relationship between CFT and both symptomatology and functional outcome. [ABSTRACT FROM AUTHOR]

• Speech pauses are related to depression, even in other psychiatric conditions. • Both number and duration of pauses are related to depression. • Speech pauses can be an objective quantitative depression assessment tool. • Quantitative speech assessment is a promising assessment tool in psychiatry. Depression is a common and debilitating mental illness associated with sadness and negativity and is often comorbid with other psychiatric conditions, such as schizophrenia. Depressive symptoms are presently primarily assessed through clinical interviews, however there are other behavioural indicators being investigated as more objective methods of depressive symptom assessment. The present study aimed to evaluate the utility of assessing depression using quantitative speech parameters by comparing speech between 23 schizophrenia/schizoaffective patients with clinically significant depressive symptoms (DP) 19 schizophrenia/schizoaffective patients without depressive symptoms (NDP) and 22 healthy controls with no psychiatric history (HC). Participant audio recordings were transcribed and analyzed to extract five types of speech variables: utterances, words, speaking rate, formulation errors and pauses. The results indicated that DP patients produced significantly more pauses within utterances, and had more utterances with pauses compared to NDP patients and HCs (p = <.05), who performed similarly to each other. Word, speaking rate and formulation errors variables were not significantly different between the patient groups (p >.05). The findings suggest that depressive symptoms may have a specific relationship to speech pauses, and support the potential future use of speech pause assessments as an alternative and objective depression rating and monitoring tool. [ABSTRACT FROM AUTHOR]

Objective: Fever contributes to the inflammatory response; in some infections, antipyretics could prolong the illness. The objective of our study was to evaluate the impact of antipyretic treatments on the evolution of acute upper and lower respiratory tract infections (RTI)., Method: A systematic literature review of randomized controlled trials (RCTs) with meta-analysis was conducted. Our primary endpoint was the time to recovery from illness. Our prespecified secondary endpoints were quality of life, duration and number of fever episodes, repeated medical visits, and adverse events., Results: Out of the 1466 references found, 25 RCTs were included. There were two studies assessing mean fever clearance time, and five studies examining the duration of symptoms associated with the illness studied. No statistically significant differences were found when pooling the results of the different studies. The assessment of adverse events showed a significant difference disadvantaging non-steroidal anti-inflammatory drugs. No meta-analysis could be performed for our other secondary endpoints. The quality of the evidence is limited by the small number of studies included for our primary endpoint and by heterogeneity between the studies., Conclusion: Our results suggest that the use of antipyretics does not prolong or shorten illness duration in acute upper and lower RTI. The symptomatic efficacy of antipyretics must be weighed against their adverse effects, particularly when fever is well-tolerated., (Copyright © 2023 Elsevier Masson SAS. All rights reserved.)

• 27% of the Australian sample were vitamin D deficient. • There was no difference in the vitamin D levels and deficiency status between bipolar disorder patients with low grade mood symptomatology and healthy controls. • Number of past mood episodes, illness duration, seasonal mood pattern, mood symptom severity and global cognition appear to be independent of vitamin D levels in BD. • Use of vitamin D supplements to remedy vitamin D deficiency may have no direct effects on the clinical and cognitive features of bipolar disorder. The role that vitamin D plays in the cognitive and clinical characteristics of bipolar disorder (BD) is unclear. We examined differences in the levels and deficiency status of vitamin D in an Australian sample of BD patients compared to healthy controls; and determined the extent to which vitamin D is associated with clinical variables and cognitive function in the sample. 22 healthy controls and 55 stable outpatients with a diagnosis of BD and low-grade mood symptomatology provided a sample of blood and completed cognitive tests and clinical measures. Plasma concentrations of 25-hydroxyvitamin D (vitamin D) were assayed and used to segregate participants into subgroups with sufficient or deficient levels of vitamin D. Subgroups were then compared in terms of global cognition and a range of sociodemographic and clinical factors (number of past mood episodes, illness duration, seasonal mood pattern, mood symptom severity), while mean levels of vitamin D were compared between patients and controls. Although almost 27% of the current sample were vitamin D deficient, no significant differences in mean vitamin D levels or the prevalence of vitamin D deficiency were evident between BD patients and controls. Vitamin D was not associated with global cognition in either patients or controls, nor any of the clinical measures assessed in the study. In conclusion, we observed no difference in the vitamin D levels and deficiency status of an Australian sample of healthy individuals and BD patients with low grade mood symptomatology compared to controls. Clinical symptoms and global cognition also appear to be independent of vitamin D levels in BD. [ABSTRACT FROM AUTHOR]

Chronic fatigue syndrome (CFS) is a debilitating illness, but it is unclear if patient age and illness duration might affect symptoms and functioning of patients. In the current study, participants were categorized into four groups based upon age (under or over age 55) and illness duration (more or less than 10 years). The groups were compared on functioning and symptoms. Findings indicated that those who were older with a longer illness duration had significantly higher levels of mental health functioning than those who were younger with a shorter or longer illness duration and the older group with a shorter illness duration. The results suggest that older patients with an illness duration of over 10 years have significantly higher levels of mental health functioning than the three other groups. For symptoms, the younger/longer illness duration group had significantly worse immune and autonomic domains than the older/longer illness group. In addition, the younger patients with a longer illness duration displayed greater autonomic and immune symptoms in comparison to the older group with a longer illness duration. These findings suggest that both age and illness duration need to be considered when trying to understand the influence of these factors on patients. [ABSTRACT FROM AUTHOR]