Clinimetrics and clinical psychometrics: macro- and micro-analysis

Network analysis of clinical features in patients with treatment-resistant schizophrenia

Objective

This study compares the clinical features of Treatment-Resistant Schizophrenia (TRS) and Non-Treatment-Resistant Schizophrenia (NTRS) using network analysis.

Methods

We recruited 511 patients, dividing them into TRS (N = 269) and NTRS (N = 242) groups. Eight scales were used: Positive and Negative Syndrome Scale (PANSS), Positive Symptom Assessment Scale (SAPS), Scale for Assessment of Negative Symptoms (SANS), Simpson-Angus Scale (SAS), Abnormal Involuntary Movements Scale (AIMS), Barnes Akathisia Rating Scale (BARS), Calgary Schizophrenia Depression Scale (CDSS), and Global Assessment of Functioning Scale (GAF). Demographic and clinical data were analyzed using T-tests and Chi-square tests. Network analysis was then applied to compare clinical features.

Results

Significant differences were found in the overall architectures (S = 1.396, p < 0.002) and edge weights (M = 0.289, p < 0.009) of TRS and NTRS networks. Nine edges (p < 0.05) and five nodes (p < 0.01) differed, indicating a correlation between clinical symptoms of the two groups. TRS core symptoms were linked to social functions through both positive (SAPS) and negative symptoms (SANS), while NTRS core symptoms were related to general psychopathological symptoms (PANSS-G).

Conclusion

For TRS, it is essential to address both negative and positive symptoms, focusing on the impact of negative symptoms on functioning. Additionally, managing medication side effects is crucial to avoid worsening negative symptoms.

Longitudinal evolution of the transdiagnostic prodrome to severe mental disorders: a dynamic temporal network analysis informed by natural language processing and electronic health records

Modelling the prodrome to severe mental disorders (SMD), including unipolar mood disorders (UMD), bipolar mood disorders (BMD) and psychotic disorders (PSY), should consider both the evolution and interactions of symptoms and substance use (prodromal features) over time. Temporal network analysis can detect causal dependence between and within prodromal features by representing prodromal features as nodes, with their connections (edges) indicating the likelihood of one feature preceding the other. In SMD, node centrality could reveal insights into important prodromal features and potential intervention targets. Community analysis can identify commonly occurring feature groups to define SMD at-risk states. This retrospective (2-year) cohort study aimed to develop a global transdiagnostic SMD network of the temporal relationships between prodromal features and to examine within-group differences with sub-networks specific to UMD, BMD and PSY. Electronic health records (EHRs) from South London and Maudsley (SLaM) NHS Foundation Trust were included from 6462 individuals with SMD diagnoses (UMD:2066; BMD:740; PSY:3656). Validated natural language processing algorithms extracted the occurrence of 61 prodromal features every three months from two years to six months before SMD onset. Temporal networks of prodromal features were constructed using generalised vector autoregression panel analysis, adjusting for covariates. Edge weights (partial directed correlation coefficients, z) were reported in autocorrelative, unidirectional and bidirectional relationships. Centrality was calculated as the sum of (non-autoregressive) connections leaving (out-centrality, cout) or entering (in-centrality, cin) a node. The three sub-networks (UMD, BMD, PSY) were compared using permutation analysis, and community analysis was performed using Spinglass. The SMD network revealed strong autocorrelations (0.04 ≤ z ≤ 0.10), predominantly positive connections, and identified aggression (cout = 0.103) and tearfulness (cin = 0.134) as the most central features. Sub-networks for UMD, BMD, and PSY showed minimal differences, with 3.5% of edges differing between UMD and PSY, 0.8% between UMD and BMD, and 0.4% between BMD and PSY. Community analysis identified one positive psychotic community (delusional thinking-hallucinations-paranoia) and two behavioural communities (aggression-cannabis use-cocaine use-hostility, aggression-agitation-hostility) as the most common. This study represents the most extensive temporal network analysis conducted on the longitudinal interplay of SMD prodromal features. The findings provide further evidence to support transdiagnostic early detection services across SMD, refine assessments to detect individuals at risk and identify central features as potential intervention targets.

Efficacy of a Standalone Smartphone Application to Treat Postnatal Depression: A Randomized Controlled Trial

INTRODUCTION

Smartphone app interventions based on cognitive-behavioral therapy (CBT) are promising scalable alternatives for treating mental disorders, but the evidence of their efficacy for postpartum depression is limited. We assessed the efficacy of Motherly, a standalone CBT-based smartphone app, in reducing symptoms of postpartum depression.

METHODS

Women aged 18-40 with symptoms of postpartum depression were randomized either to intervention (Motherly app) or active control (COMVC app). The primary outcome was symptoms of depression measured by the Edinburgh Postnatal Depression Scale (EPDS) at post-treatment. Secondary outcomes were anxiety symptoms, parental stress, quality of sleep, behavioral activation, availability of response-contingent positive reinforcement, and clinical improvement at post-treatment and 1-month follow-up. Exploratory analyses were performed to investigate if app engagement was associated with treatment response.

RESULTS

From November 2021 to August 2022, 1,751 women volunteered, of which 264 were randomized, and 215 provided primary outcome data. No statistically significant differences were found between groups at post-treatment: intervention: mean (SD): 12.75 (5.52); active control: 13.28 (5.32); p = 0.604. There was a statistically significant effect of the intervention on some of the secondary outcomes. Exploratory analyses suggest a dose-response relationship between Motherly app engagement and outcomes.

CONCLUSION

Our standalone app intervention did not significantly reduce postnatal depression symptoms when compared to active control. Exploratory findings suggest that negative findings might be associated with insufficient app engagement. Consistent with current literature, our findings suggest that standalone app interventions for postpartum depression are not ready to be implemented in clinical practice.

Different Characteristics of Psychological and Sleep Symptoms Across Social Media Addiction and Internet Gaming Disorder in Chinese Adolescents- A Network Analysis

OBJECTIVE

Previous research has explored a variety of mental disorders associated with Internet Gaming Disoder (IGD) and Social Media Addiction (SMA). To date, few studies focused on the network characteristics and investigated mood and sleep symptoms across SMA and IGD of adolescence at a group-specific level. This study aims to identify different characteristics of IGD and SMA and further determine the group-specific psychopathology process among adolescents.

METHODS

We conducted a cross-sectional study to recruit a cohort of 7,246 adolescents who were scored passing the cutoff point of Internet Gaming Disorder Scale-Short Form and Bergen Social Media Addiction Scale, as grouped in IGD and SMA, or otherwise into the control group. Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-item, and Pittsburgh Sleep Quality Index were assessed for the current study, and all assessed items were investigated using network analysis.

RESULTS

Based on the analytical procedure, the participants were divided into three groups, the IGD group (n=789), SMA group (n=713) and control group (n=5,744). The edge weight bootstrapping analysis shows that different groups of networks reach certain accuracy, and the network structures of the three groups are statistically different (pcontrol-IGD=0.004, pcontrol-SMA<0.001, pIGD-SMA<0.001). The core symptom of SMA is "feeling down, depressed, or hopeless", while IGD is "feeling tired or having little energy".

CONCLUSION

Although IGD and SMA are both subtypes of internet addiction, the psychopathology processes of IGD and SMA are different. When dealing with IGD and SMA, different symptoms should be addressed.

Psychometric validation of the Chinese version of the Short Inflammatory Bowel Disease Questionnaire and evaluation of its measurement invariance across sex

Background

This study aimed to evaluate the psychometric properties of the Chinese version of the Short Inflammatory Bowel Disease Questionnaire (C-SIBDQ), and its measurement invariance across sex in Chinese patients with inflammatory bowel disease (IBD).

Methods

Between September 2018 and July 2021, 284 patients with IBD were recruited from a spleen and stomach clinic. All participants completed the C-SIBDQ, 12-item Short-Form Health Survey (SF-12), nine-item Patient Health Questionnaire Depression Scale (PHQ-9), and the seven-item Generalized Anxiety Disorder Scale (GAD-7). Floor and ceiling effects were evaluated by testing frequencies and composition ratios for the minimum and maximum C-SIBDQ scores. Exploratory and confirmatory factor analysis (CFA) were used to evaluate the C-SIBDQ’s factor structure and construct validity. Convergent validity was evaluated through examining bivariate correlations between the C-SIBDQ and the SF-12, PHQ-9, and GAD-7. Internal consistency reliability and retest reliability were evaluated by respectively calculating the Cronbach’s α and the intraclass correlation coefficient (ICC) among a subsample (n = 79) after 2 weeks. The measurement invariance across sex was evaluated through multiple-group CFA.

Results

The C-SIBDQ scores showed no floor or ceiling effects and had a single-factor structure and good convergent validity, with significant correlations with the SF-12, PHQ-9 and GAD-7. Good internal consistency (Cronbach’s α = 0.920) and test–retest reliability (ICC = 959) were observed. The C-SIBDQ also showed measurement invariance across sex, and females showed higher C-SIBDQ scores than males.

Conclusions

The C-SIBDQ has high reliability, validity, and stability across sex, and can be used in clinics to assess the health-related quality of life of patients with IBD.

Clinimetric Criteria for Patient-Reported Outcome Measures

Patient-reported outcome measures (PROMs) are self-rated scales and indices developed to improve the detection of the patients' subjective experience. Given that a considerable number of PROMs are available, it is important to evaluate their validity and usefulness in a specific research or clinical setting. Published guidelines, based on psychometric criteria, do not fit in with the complexity of clinical challenges, because of their quest for homogeneity of components and inadequate attention to sensitivity. Psychometric theory has stifled the field and led to the routine use of scales widely accepted yet with a history of poor performance. Clinimetrics, the science of clinical measurements, may provide a more suitable conceptual and methodological framework. The aims of this paper are to outline the major limitations of the psychometric model and to provide criteria for clinimetric patient-reported outcome measures (CLIPROMs). The characteristics related to reliability, sensitivity, validity, and clinical utility of instruments are critically reviewed, with particular reference to the differences between clinimetric and psychometric approaches. Of note is the fact that PROMs, rating scales, and indices developed according to psychometric criteria may display relevant clinimetric properties. The present paper underpins the importance of the clini-metric methodology in choosing the appropriate PROMs. CLIPROM criteria may also guide the development of new indices and the validation of existing PROMs to be employed in clinical settings.

Network Analysis of Insomnia in Chinese Mental Health Professionals During the COVID-19 Pandemic: A Cross-Sectional Study

PURPOSE

The coronavirus disease 2019 (COVID-19) pandemic is associated with increased risk of insomnia symptoms (insomnia hereafter) in health-care professionals. Network analysis is a novel approach in linking mechanisms at the symptom level. The aim of this study was to characterize the insomnia network structure in mental health professionals during the COVID-19 pandemic.

PATIENTS AND METHODS

A total of 10,516 mental health professionals were recruited from psychiatric hospitals or psychiatric units of general hospitals nationwide between March 15 and March 20, 2020. Insomnia was assessed with the insomnia severity index (ISI). Centrality index (ie, strength) was used to identify symptoms central to the network. The stability of network was examined using a case-dropping bootstrap procedure. The network structures between different genders were also compared.

RESULTS

The overall network model showed that the item ISI7 (interference with daytime functioning) was the most central symptom in mental health professionals with the highest strength. The network was robust in stability and accuracy tests. The item ISI4 (sleep dissatisfaction) was connected to the two main clusters of insomnia symptoms (ie, the cluster of nocturnal and daytime symptoms). No significant gender network difference was found.

CONCLUSION

Interference with daytime functioning was the most central symptom, suggesting that it may be an important treatment outcome measure for insomnia. Appropriate treatments, such as stimulus control techniques, cognitive behavioral therapy and relaxation training, could be developed. Moreover, addressing sleep satisfaction in treatment could simultaneously ameliorate daytime and nocturnal symptoms.

Patient-reported outcome measures for clinical decision-making in outpatient follow-up: validity and reliability of a renal disease questionnaire

BACKGROUND

Patient-reported outcome measures are increasingly used by clinicians to support communication in telephone- or face-to-face consultations with patients. A renal disease questionnaire has been developed, but not sufficiently evaluated through clinimetrics in clinical setting. Hence, we aimed to evaluate the content validity, construct validity and the test-retest reliability of a renal disease questionnaire to be used for clinical decision-making.

METHODS

A content, construct validity and test-retest reliability study was conducted in 3 nephrology outpatient clinics in Central Denmark Region, Denmark. Content validity (face validity, comprehensibility and relevance) was assessed among 8 patients and 6 clinicians. Reliability was assessed by asking outpatients with chronic kidney disease to complete the questionnaire twice. Reliability was assessed by kappa statistics and agreement by percentage. Construct validity was determined using 4 a priori defined hypotheses and comparing 2 known groups.

RESULTS

Five new domains emerged, 6 items were rephrased and 3 items were removed following the content validity test. A total of 160 patients completed the questionnaire with median 8 days (IQR 2 days) between assessments. The test-retest reliability parameters of the single items in the questionnaire were substantial to almost perfect as all the observed weighted kappa values ranged from 0.61 to 0.91, 95% CI (0.34 to 0.95). In total, 61% of the single items showed almost perfect agreement. In total, 3 of the 4 hypotheses were accepted and 44% of the items showed satisfying known-group discriminative validity.

CONCLUSION

A renal disease questionnaire used for clinical decision-making in outpatient follow-up showed acceptable content validity and substantial to almost perfect reliability. Sufficient construct validity was not established. Incorporating the questionnaire into routine clinical practice may improve the evaluation of disease burden in patients with chronic kidney disease. We ask patients with chronic kidney disease (CKD) in Central Region Denmark to complete a questionnaire before each outpatient visit. The answers they provide are used to support communication with their health care provider. A questionnaire requires testing to ensure it can accurately capture important information about patient's symptoms and quality of life. When questionnaires are used to support communication between patients and health care professionals, they need to have good measurement properties. This means they need to be: (1) trustworthy, (2) relevant to a patient's health condition, (3) consistent and produce stable results every time. We explored the measurement properties of a questionnaire designed to be used in the face-to face outpatient visits for patients with CKD. We found that the questionnaire captured consistent and stable results. Using this questionnaire may help health care professionals to assess the patients´ burden of symptoms with a more patient-centered approach. Potentially, the use of the questionnaire will increase the patients´ ability to cope with their symptoms and strengthen patients´ involvement in the clinical decisions concerning their treatment.

Construct and criterion validity of patient-reported outcomes (PROs) for depression: A clinimetric comparison

BACKGROUND

A number of patient-reported outcomes (PROs) have been developed but insufficient attention has been devoted to the assessment of their clinimetric properties. Clinimetrics, the science of clinical measurements, has been considered an emerging approach for evaluating reliability and validity of PROs. This is the first study using clinimetric principles to compare the construct and criterion validity of the Major Depression Inventory (MDI), the Beck Depression Inventory-II (BDI-II), the World Health Organization Well-Being Index (WHO-5), three of the most widely used PROs for the assessment of depression.

METHODS

Construct validity was evaluated via Item Response Theory (IRT) models (i.e., combining Rasch and Mokken analyses). Using the ICD-10 diagnostic algorithm for any depression as the gold standard, Receiver Operating Characteristic (ROC) curves were performed to examine the criterion validity of PROs.

RESULTS

One hundred healthy subjects (73% females, 32.6 ± 10.5 years) participated in the study, giving a response rate of 90.1%. When using IRT analyses, MDI and WHO-5 were found to be reliable and unidimensional, while BDI-II showed lack of unidimensionality. ROC analyses supported the diagnostic accuracy of MDI and the screening properties of WHO-5.

LIMITATIONS

The main limitations of the present study are that healthy subjects were assessed only via only self-reported measures and a cross-sectional design was used.

CONCLUSIONS

WHO-5 and MDI outperformed BDI-II in terms of construct and criterion validity. WHO-5 should be considered when screening for depression, while MDI should be used as a valid diagnostic instrument and as a unidimensional measure to assess depression severity.

The Hamilton Rating Scales for Depression: A Critical Review of Clinimetric Properties of Different Versions

The format of the original Hamilton Rating Scale for Depression (HAM-D) was unstructured: only general instructions were provided for rating individual items. Over the years, a number of modified versions of the HAM-D have been proposed. They differ not only in the number of items, but also in modalities of administration. Structured versions, including item definitions, anchor points and semi-structured or structured interview questions, were developed. This comprehensive review was conducted to examine the clinimetric properties of the different versions of the HAM-D. The aim was to identify the HAM-D versions that best display the clinimetric properties of reliability, validity, and sensitivity to change. The search was conducted on MEDLINE, Scopus, Web of Science, and PubMed, and yielded a total of 35,473 citations, but only the most representative studies were included. The structured versions of the HAM-D were found to display the highest inter-rater and test-retest reliability. The Clinical Interview for Depression and the 6-item HAM-D showed the highest sensitivity in differentiating active treatment from placebo. The findings indicate that the HAM-D is a valid and sensitive clinimetric index, which should not be discarded in view of obsolete and not clinically relevant psychometric criteria. The HAM-D, however, requires an informed use: unstructured forms should be avoided and the type of HAM-D version that is selected should be specified in the registration of the study protocol and in the methods of the trial.

Reducing intrusive memories after trauma via a brief cognitive task intervention in the hospital emergency department: an exploratory pilot randomised controlled trial

Intrusive memories are common after trauma, and can cause significant distress. Interventions to prevent/reduce the occurrence of this core clinical feature of posttraumatic stress disorder are needed; they should be easy to deliver, readily disseminated and scalable. A novel one-session intervention by Iyadurai et al. 2018, Molecular Psychiatry, resulted in intrusion reduction over the subsequent week. Its feasibility in a different setting and longer-term effects (>1 month) need investigation. We conducted an exploratory open-label pilot randomised controlled trial (RCT) to investigate the feasibility and effects of a brief behavioural intervention to reduce intrusive memories in trauma-exposed patients in a Swedish hospital emergency department (ED). Participants (final N = 41) were randomly allocated to either intervention (including memory reminder cue then visuospatial cognitive task "Tetris" with mental rotation instructions) or active control (podcast) condition within 72 h of presenting to the ED (both conditions using their smartphone). Findings were examined descriptively. We estimated between-group effect sizes for the number of intrusive memories post-intervention at week 1 (primary outcome) and week 5 (secondary outcome). Compared to the control condition, participants in the intervention condition reported fewer intrusive memories of trauma, both at week 1 and week 5. Findings extend the previous evaluation in the UK. The intervention was readily implemented in a different international context, with a mixed trauma sample, with treatment gains maintained at 1 month and associated with some functional improvements. Findings inform future trials to evaluate the capacity of the cognitive task intervention to reduce the occurrence of intrusive memories after traumatic events.

Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses

INTRODUCTION

Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results.

OBJECTIVE

To compare the odds of the major depression classification based on the SCID, CIDI, and MINI.

METHODS

We included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis.

RESULTS

In total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80).

CONCLUSIONS

Compared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics.

Sydney Melancholia Prototype Index (SMPI): translation and cross-cultural adaptation to Brazilian Portuguese

Introduction

Depression is possibly not a single syndrome but rather comprises several subtypes. DSM-5 proposes a melancholia specifier with phenotypic characteristics that could be associated with clinical progression, biological markers or therapeutic response. The Sydney Melancholia Prototype Index (SMPI) is a prototypic scale aimed to improve the diagnosis of melancholia. So far, there is only an English version of the instrument available. The aim of this study is to describe the translation and adaptation of the English version of the SMPI into Brazilian Portuguese.

Methods

Translation and cross-cultural adaptation of the self-report (SMPI-SR) and clinician-rated (SMPI-CR) versions into Brazilian Portuguese were done following recommendations of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR). This guideline includes the following steps: preparation, forward translation, reconciliation, back translation, back translation review, harmonization, cognitive debriefing, debriefing results review, proofreading and final report.

Results

The Brazilian Portuguese versions of the SMPI were well-accepted by respondents. Changes in about two-thirds of the items were considered necessary to obtain the final Brazilian Portuguese version of the SMPI.

Conclusions

Both versions of the SMPI are now available in Brazilian Portuguese. The instrument could become an important option to enhance studies on melancholia in Portuguese-speaking samples.

Mental Pain as a Transdiagnostic Patient-Reported Outcome Measure

Patient-reported outcomes (PROs) refer to any report coming directly from patients about how they function or feel in relation to a health condition or its therapy. PROs have been applied in medicine for the assessment of the impact of clinical phenomena. Self-report scales and procedures for assessing physical pain in adults have been developed and used in clinical trials. However, insufficient attention has been dedicated to the assessment of mental pain. The aim of this paper is to outline the implications that assessment of mental pain may entail in psychiatry and medicine, with particular reference to a clinimetric index. A simple 10-item self-rating questionnaire, the Mental Pain Questionnaire (MPQ), encompasses the specific clinical features of mental pain and shows good clinimetric properties (i.e., sensitivity, discriminant and incremental validity). The preliminary data suggest that the MPQ may qualify as a PRO measure to be included in clinical trials. Assessment of mental pain may have important clinical implications in intervention research, both in psychopharmacology and psychotherapy. The transdiagnostic features of mental pain are supported by its association with a number of psychiatric disorders, such as depression, anxiety, eating disorders, as well as borderline personality disorder. Further, addressing mental pain may be an important pathway to prevent and diminish the opioid epidemic. The data summarized here indicate that mental pain can be incorporated into current psychiatric assessment and included as a PRO measure in treatment outcome studies.

Biological and Clinical Markers to Differentiate the Type of Anxiety Disorders

The present chapter is an overview of possible biomarkers which distinguish anxiety disorders as classified by the DSM-5. Structural or activity changes in the brain regions; changes in N-acetylaspartate/creatine, dopamine, serotonin, and oxytocin; hearth rate variability; hypothalamic-pituitary-adrenal axis activity; error-related negativity; respiratory regulation; and genetic variants are proposed. However, their clinical utility is questionable due to low specificity and sensitivity: the majority does not distinguish subjects with different anxiety disorders, and they might be influenced by stress, comorbidity, physical activity, and psychotropic medications. In this framework, the staging model, a clinimetric tool which allows to define the degree of progression of a disease at a point in time and where the patient is located on the continuum of the course of the disease, is proposed since several DSM anxiety disorders take place at different stages of the same syndrome according to the staging model. Thus, a stage-specific biomarker model for anxiety disorders is hypothesized and illustrated.

Psychometric Properties of the Generalized Anxiety Disorder Scale Among Saudi University Male Students

BACKGROUND

Various screening tools have been designed and developed to identify individuals with generalized anxiety disorder (GAD). The current study aimed to assess the psychometric validation of the GAD-7 in Saudi university male students.

METHODS

Healthy university male students (n= 192) participated in this cross-sectional study. All the participants were informed about the study details. Participants were asked to complete the GAD-7, the Sleep Hygiene Index (SHI), Perceived Stress Scale (PSS), and demographic details.

RESULTS

In general, the range of the GAD total score was 0-21. There was no issue of the ceiling or floor effects as only 12.5% of participants reported the minimum score of 0, and none of the participants reported the maximum score of 21. The internal consistency score of the GAD-7 was found to be good (Cronbach's alpha = 0.83). The internal homogeneity between item scores was 0.22-0.57 as indicated by the "Spearman correlation coefficient (r)". The total scores and individual item scores of the GAD-7 were statistically associated with the PSS total score (correlation coefficient r = 0.21-0.37), and scores of the 8th and 13th item of the SHI (correlation coefficient r = 0.17-0.26, and 0.21-0.40, respectively). The exploratory factor and confirmatory factor loadings of the GAD-7 items were ranged from 0.60 to 0.81 and 0.51 to 0.80, respectively.

CONCLUSION

This study supported the use of the GAD-7 to assess the anxiety level among Saudi university students.

Changes in the network structure of posttraumatic stress disorder symptoms at different time points among youth survivors: A network analysis

BACKGROUND

Despite considerable studies focused on the symptoms of posttraumatic stress disorder (PTSD), little is understood about how symptoms of PTSD change over time. The study aimed to use a network analysis approach to understand the nature of the association between PTSD symptoms at different time points among children and adolescents who experience an earthquake.

METHODS

A longitudinal study enrolled 1623 youth survivors who completed 3 assessments with the Children's Revised Impact of Event Scale at 2 weeks, 3 months and 6 months after the Lushan earthquake. The epicentre was Baoxing Country that located in the Ya'an city (Sichuan Province in China). A network analysis approach was used to investigate how symptom networks change at different time points.

RESULTS

A total of 1623 youth survivors (768 male and 855 female) completed three assessments. Different centrality symptoms existed at different time points. Flashback and upset by reminders were centrality symptoms at 2 weeks, 3 months and 6 months. The overall network connectivity was significantly stronger at 3 months than at 2 weeks (5.663 vs. 5.140, s = 0.523, p = 0.000), and significantly stronger at 6 months than at 2 weeks (6.094 vs. 5.663, s = 0.432, p = 0.020).

LIMITATIONS

Participants from a specific region might limit the generalizability of our results. A self-report questionnaire was used to assess PTSD symptoms.

CONCLUSIONS

Re-experience cluster (flashback and upset by reminders) and their interactions might play a key role in PTSD symptom evolution. Over time, the global connectivity becomes stronger, suggesting that youth survivors are more vulnerable in the chronic phases.

The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis

BACKGROUND

Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results.

OBJECTIVE

To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10.

METHODS

Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview.

RESULTS

Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88).

CONCLUSIONS

The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.

Clinimetric approach to rating scales for the assessment of apathy in Parkinson's disease: A systematic review

A number of rating scales for the assessment of apathy in Parkinson's disease (PD) were developed. Unfortunately, previous studies focused mainly on psychometric criteria rather than on clinimetric principles to develop these assessment instruments. In the clinimetric approach, the clinical validity of a rating scale, rather than its statistical significance, has the priority. The aim of the present systematic review was to capture the clinimetric properties of these rating scales and to identify the measures, which display clinical validity for the assessment of apathy in PD. The systematic search was conducted on Scopus, PsycINFO, PubMed, Web of Science, ScienceDirect, and Medline following the PRISMA guidelines. A total of 44 studies were included and analyzed in this systematic review. The apathy rating scales, which were found to be psychometrically robust and reliable, were actually clinically questionable. The apathy measures, which displayed clinimetric properties, were the Starkstein Apathy Scale (SAS), the 5-item version of the World Health Organization Well-Being Index (WHO-5), the Neurasthenia Scale and the Lille Apathy Rating Scale (LARS). The SAS was found to be clinically valid at a macro-analytic level, particularly when used either to exclude the presence of symptoms of apathy or to evaluate the side effects of medications. The WHO-5 and the Neurasthenia Scale were found to be clinically valid only at a micro-analytic level and can be used as screening measures for the assessment of the severity of symptoms of apathy. The LARS was a clinically valid instrument to be used for the diagnosis of apathy.

Does mindfulness change the mind? A novel psychonectome perspective based on Network Analysis

If the brain is a complex network of functionally specialized areas, it might be expected that mental representations could also behave in a similar way. We propose the concept of ‘psychonectome’ to formalize the idea of psychological constructs forming a dynamic network of mutually dependent elements. As a proof-of-concept of the psychonectome, networks analysis (NA) was used to explore structural changes in the network of constructs resulting from a psychological intervention. NA was applied to explore the effects of an 8-week Mindfulness-Based Stress Reduction (MBSR) program in healthy participants (N = 182). Psychological functioning was measured by questionnaires assessing five key domains related to MBSR: mindfulness, compassion, psychological well-being, psychological distress and emotional-cognitive control. A total of 25 variables, covering the five constructs, were considered as nodes in the NA. Participants significantly improved in most of the psychological questionnaires. More interesting from a network perspective, there were also significant changes in the topological relationships among the elements. Expected influence and strength centrality indexes revealed that mindfulness and well-being measures were the most central nodes in the networks. The nodes with highest topological change after the MBSR were attentional control, compassion measures, depression and thought suppression. Also, cognitive appraisal, an adaptive emotion regulation strategy, was associated to rumination before the MBSR program but became related to mindfulness and well-being measures after the program. Community analysis revealed a strong topological association between mindfulness, compassion, and emotional regulation, which supports the key role of compassion in mindfulness training. These results highlight the importance of exploring psychological changes from a network perspective and support the conceptual advantage of considering the interconnectedness of psychological constructs in terms of a ‘psychonectome’ as it may reveal ways of functioning that cannot be analyzed through conventional analytic methods.

The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review

BACKGROUND

Network analysis (NA) is an analytical tool that allows one to explore the map of connections and eventual dynamic influences among symptoms and other elements of mental disorders. In recent years, the use of NA in psychopathology has rapidly grown, which calls for a systematic and critical analysis of its clinical utility.

METHODS

Following PRISMA guidelines, a systematic review of published empirical studies applying NA in psychopathology, between 2010 and 2017, was conducted. We included the literature published in PubMed and PsycINFO using as keywords any combination of "network analysis" with the terms "anxiety," "affective disorders," "depression," "schizophrenia," "psychosis," "personality disorders," "substance abuse" and "psychopathology."

RESULTS

The review showed that NA has been applied in a plethora of mental disorders in adults (i.e., 13 studies on anxiety disorders; 19 on mood disorders; 7 on psychosis; 1 on substance abuse; 1 on borderline personality disorder; 18 on the association of symptoms between disorders), and 6 on childhood and adolescence.

CONCLUSIONS

A critical examination of the results of each study suggests that NA helps to identify, in an innovative way, important aspects of psychopathology like the centrality of the symptoms in a given disorder as well as the mutual dynamics among symptoms. Yet, despite these promising results, the clinical utility of NA is still uncertain as there are important limitations on the analytic procedures (e.g., reliability of indices), the type of data included (e.g., typically restricted to secondary analysis of already published data), and ultimately, the psychometric and clinical validity of the results.

The prevalence of psychological distress in Parkinson's disease patients: The brief symptom inventory (BSI-18) versus the Hopkins symptom checklist (SCL-90-R)

The prevalence of psychological distress in Parkinson's disease (PD) patients has been evaluated by many different assessment instruments and with diverse control groups. The most frequently used distress symptom scale has been the Hopkins Symptom Checklist (SCL-90-R), although it contains many symptoms with problematic validity clinically. The 18-item subscale of the SCL-90-R, the Brief Symptom Inventory (BSI-18) has recently been shown to have a sufficient validity to screen for the prevalence of psychological distress (somatization) in PD patients. We have performed a clinimetric analysis by comparing the BSI-18 with SCL-90-R relevant subscales in PD patients. Our micro-analysis has focused on the Mokken model to test the scalability of the subscales. The macro-analysis has focused both on effect size statistics and the normative level of psychological distress with reference to the Italian general population data using T-score metric. The Mokken analysis indicated acceptable scalability for all the subscales of BSI-18. The effect size statistics identified somatization in both BSI-18 and SCL-90-R as the most prevalent and intense symptom of psychological distress. The T-score metric identified the phobic anxiety subscale of SCL-90-R to be clinically much more important than the BSI-18 anxiety subscale in the PD patients. We have found the SCL-90-R subscale of phobic anxiety and the BSI-18 somatization subscale most clinically valid when measuring psychological distress in PD patients.

Depressive Symptom Network Associated With Comorbid Anxiety in Late-Life Depression

Background: Depression and anxiety are the most common comorbid psychiatric disorders in the elderly. Psychiatrists have been reporting worsened depression symptoms and prognosis by comorbid anxiety symptoms. However, it is still unclear how anxiety affects the course of depression in the elderly. The aims of this study are (1) to identify the symptom network in late-life depression (LLD), and (2) to examine the role of anxiety in LLD with a network perspective. Methods: The study analyzed 776 community-based participants who were clinically diagnosed with depression and enrolled in Suwon Geriatric Mental Health Center. Network analysis was used to investigate the relationships between the symptoms of the Montgomery-Åsberg Depression Rating Scale (MADRS). The depression sample was divided into groups of low and high anxiety according to the Beck Anxiety Index. Propensity score matching (PSM) was used to minimize the effects of depression severity on the network. Network comparison test (NCT) were carried out to compare the global connectivity, global strength, and specific edge strength between the two subgroups. Results: Reported sadness, pessimistic thinking, and suicidal ideation are the core symptoms of LLD in terms of node strength. The MADRS sum score [mean (SD) 28.10 (9.19) vs 20.08 (7.11); P < .01] was much higher in the high anxiety group. The NCT before PSM showed the high anxiety group had significantly higher global strength (P < .01). However, the NCT after PSM did not reveal any statistical significance both in global structure (P = .46) and global strength (P = .26). A comparison between centrality indices showed a higher node strength of vegetative symptoms in the high anxiety group and this also remained after PSM. Conclusion: Based on the statistical analysis, anxiety worsens the severity of depression in the elderly. However, NCT after PSM revealed comorbid anxiety does not change the global structure and strength of the depression symptom network. Therefore, anxiety may affect LLD in a way of worsening the severity, rather than changing psychopathology. Additionally, the study revealed the centrality of vegetative symptoms was low in LLD but increased substantially in patients with comorbid anxiety.

Biological and Clinical Markers in Panic Disorder

OBJECTIVE

Classifying mental disorders on the basis of objective makers might clarify their aetiology, help in making the diagnosis, identify "at risk" individuals, determine the severity of mental illness, and predict the course of the disorder. This study aims to review biological and clinical markers of panic disorder (PD).

METHODS

A computerized search was carried out in PubMed and Science Direct using the key words: "marker/biomarker/clinical marker/neurobiology/staging" combined using Boolean AND operator with "panic." In addition, the reference lists from existing reviews and from the articles retrieved were inspected. Only English language papers published in peer-reviewed journals were included.

RESULTS

Structural changes in the amygdala, hippocampus, cerebral blood level in the left occipital cortex, serotonin 5-TH and noradrenergic systems activation, aberrant respiratory regulation, hearth rate variability, blood cells and peripheral blood stem cells, hypothalamic-pituitary-adrenal axis dysregulation were identified as potential candidate biomarkers of PD. Staging was identified as clinical marker of PD. According to the staging model, PD is described as follows: prodromal phase (stage 1); acute phase (stage 2); panic attacks (stage 3); chronic phase (stage 4).

CONCLUSION

The clinical utility, sensitivity, specificity, and the predictive value of biomarkers for PD is still questionable. The staging model of PD might be a valid susceptibility, diagnostic, prognostic, and predictive marker of PD. A possible longitudinal model of biological and clinical markers of PD is proposed.

Exposure to a musically-enriched environment; Its relationship with executive functions, short-term memory and verbal IQ in primary school children

BACKGROUND

Previous literature has shown a putative relationship between playing a musical instrument and a benefit in various cognitive domains. However, to date it still remains unknown whether the exposure to a musically-enriched environment instead of playing an instrument yourself might also increase cognitive domains such as language, mathematics or executive sub-functions such as for example planning or working memory in primary school children.

DESIGN

Cross-sectional.

METHOD

Exposure to a musically-enriched environment like listening to music at home, during play or when attending concerts was assessed using a comprehensive intake questionnaire administered to a sample of 176 primary school children. Furthermore, participants completed the verbal intelligence section of the Wechsler Intelligence Scale (WISC III), performed executive sub-function tasks such as planning (Tower of London), working memory (Klingberg Matrix backward span) and inhibition (Go/no-Go task), and a short-term memory task (Klingberg Matrix forward span).

RESULTS

Linear and multiple regression analyses showed no significant relationship between exposure to a musically-enriched environment, executive sub-functions (planning, inhibition and working memory), and short-term memory. The relationship between an enriched musical environment and verbal IQ has revealed trends.

DISCUSSION

Experiencing a musically enriched environment does not serve as predictor for higher performance on executive sub-functions, however, can influence verbal IQ.

A clinimetric analysis of a BPRS-6 scale for schizophrenia severity

OBJECTIVE

A restricted Brief Psychiatric Rating Scale (BPRS-6) with the six schizophrenia specific items from the Positive and Negative Syndrome Scale (PANSS) has been investigated. These six items from the PANSS have recently been found to have both clinical validity and 'unidimensionality' in measuring the severity of schizophrenic states. The primary objective of this study was to evaluate the clinical validity of the BPRS-6. The secondary objective was to evaluate the 'unidimensionality' of the BPRS-6 by an 'item response theory' model.

METHODS

The BPRS-6 was scored independently by two psychiatrists and two psychologists while viewing six open-ended videotaped interviews in patients with a DSM-III diagnosis of schizophrenia. The interviews were conducted by Heinz E. Lehmann, an experienced psychiatrist. They were focused on the psychopathology that contributed most to the 'severity' of the patient's clinical state.

RESULTS

The BPRS-6 with three positive symptoms (delusions, conceptual disorganisation, hallucinations) and three negative symptoms (blunted affect, emotional withdrawal, poverty of speech) was found to be clinically valid and captured the variables that contribute most to the severity of schizophrenia. The BPRS-6 was also found to have acceptable 'unidimensionality' (coefficient of homogeneity 0.45) and inter-rater reliability (inter-class-coefficient 0.81).

CONCLUSION

The BPRS-6 was found to capture the information that translates into the severity of schizophrenia. It has also acceptable psychometric validity.

An overview of which health domains to consider and when to apply them in measurement-based care for depression and anxiety disorders

INTRODUCTION

Measurement-based care (MBC) transfers the scientific principle from controlled clinical trials to the daily routine treatment to improve the care of patients with anxiety and depression.

AIM

Within the pharmacopsychometric triangle in which the domain of desired clinical effect of treatment is balanced against the domain of undesired treatment side effects in terms of the domain of restored well-being. The relevance of these domains both in the controlled clinical trials and in the MBC trials will be tested.

METHODS

The MBC trials are compared with the controlled clinical trials focusing on the health domains of symptoms reduction (anxiety/depression), side effects of treatment, self-reported quality of life and social functioning.

RESULTS

The amount of MBC trials was found rather sparse but information emerged demonstrating that the full clinician-rated Hamilton Depression Scale (HAM-D₁₇) was sufficient for the identification of patients being in need of treatment and the HAM-D₆ subscale was valid as outcome measure. From the patient-reported domains, the full Symptom Checklist (SCL-90), the 10-item anxiety/depression subscale (SCL-10) was found valid as symptom outcome. From the full Patient Reported Inventory of Side-Effects (PRISE), a subscale including Clinician Action of Response (CAR) for side effects to antidepressants was found valid (PRISE-CAR), as was the World Health Organization subscale (WHO-5) for the measure of quality of life.

CONCLUSION

The pharmacopsychometric triangle is also important in the MBC trials for improving the care of patients with anxiety and depression. However, the amount of MBC trials is still rather sparse.

Patient reported outcome measures (PROMs): examination of the psychometric properties of two measures for burden of symptoms and quality of life in patients with depression or anxiety

INTRODUCTION

Patient-reported outcome measures (PROMs) for anxiety and depressive disorders are an important aspect of measurement-based care.

AIM

The aim of the study was to perform a clinimetric analysis of two PROMs scales in patents with depression and anxiety.

METHODS

Patients completed a 10-item version (SCL-10) of the Symptom Checklist to measure burden of symptoms and a brief 5-item version of World Health Organization Well-being scale (WHO-5) to measure quality of life. T-scores were used to standardize the SCL-10 and WHO-5 in terms of being in need of treatment. The coefficient of alpha and the coefficient of homogeneity were used to evaluate the internal consistency or scalability respectively of SCL-10 and WHO-5. Effect size statistics and Spearman correlation coefficients were used to measure the effect of gender and age, respectively.

RESULTS

A total of 801 patients were recruited from two Danish mental health centers with anxiety or depression. The standardization of the SCL-10 and WHO-5 by T-scores indicated that a T-score of 65 corresponding to being moderately in need of treatment and a T-score of 75 to be severely in need of treatment. The coefficient of alpha and the coefficient of homogeneity were both found acceptable for SCL-10 and WHO-5. No gender or age factors were found being in operation.

CONCLUSION

The results from the current study supported the use of the SCL-10 and WHO-5 as potential PROMs to capture symptom burden and quality of life within groups of people with anxiety or depression undergoing psychotherapy treatment.

Clinical Pharmacopsychology: Conceptual Foundations and Emerging Tasks

The aim of this critical review was to outline emerging trends and perspectives of clinical pharmacopsychology, an area of clinical psychology that is concerned with the psychological effects of medications. The historical development of clinical pharmacopsychology is outlined, with discussion of its most representative expressions and reference to current challenges of clinical research, with particular reference to clinimetrics. The domains of clinical pharmacopsychology encompass the clinical benefits of psychotropic drugs, the characteristics that predict responsiveness to treatment, the vulnerabilities induced by treatment (side effects, behavioral toxicity, iatrogenic comorbidity), and the interactions between drug treatment and psychological variables. Its aim is to provide a comprehensive assessment of the clinical important changes that are concerned with (a) wanted and expected treatment effects, (b) treatment-induced unwanted side effects, and (c) the patient's own personal experience of a change in terms of well-being and/or quality of life. Clinical pharmacopsychology offers a unifying framework for the understanding of clinical phenomena in medical and psychiatric settings. Research in this area deserves high priority.

A Systematic Review of the Clinimetric Properties of the 6-Item Version of the Hamilton Depression Rating Scale (HAM-D6)

BACKGROUND

In a study aimed at identifying the items carrying information regarding the global severity of depression, the 6-item Hamilton Depression Rating Scale (HAM-D6) was derived from the original 17-item version of the scale (HAM-D17). Since then, the HAM-D6 has been used in a wide range of clinical studies. We now provide a systematic review of the clinimetric properties of HAM-D6 in comparison with those of HAM-D17 and the Montgomery Asberg Depression Rating Scale (MADRS).

METHODS

We conducted a systematic search of the literature in PubMed, PsycInfo, and EMBASE databases in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. Studies reporting data on the clinimetric validity of the HAM-D6 and either the HAM-D17 or MADRS in non-psychotic unipolar or bipolar depression were included in the synthesis.

RESULTS

The search identified 681 unique records, of which 51 articles met the inclusion criteria. According to the published literature, HAM-D6 has proven to be superior to both HAM-D17 and MADRS in terms of scalability (each item contains unique information regarding syndrome severity), transferability (scalability is constant over time and irrespective of sex, age, and depressive subtypes), and responsiveness (sensitivity to change in severity during treatment).

CONCLUSIONS

According to the published literature, the clinimetric properties of HAM-D6 are superior to those of both the HAM-D17 and MADRS. Since the validity of HAM-D6 has been demonstrated in both research and clinical practice, using the scale more consistently would facilitate translation of results from one setting to the other.

Evaluating psychiatric symptoms in Parkinson's Disease by a clinimetric analysis of the Hopkins Symptom Checklist (SCL-90-R)

Although psychiatric comorbidity in Parkinson's Disease (PD) has often been studied, the individual psychiatric symptoms have rarely been evaluated from a clinimetric point of view in an attempt to measure how much the symptoms have been bothering or distressing the PD patients. The current study is therefore aimed at evaluating from a clinimetric viewpoint the severity of psychiatric symptoms affecting PD patients by using the Hopkins Symptom Checklist (SCL-90-R) to show its measurement-driven construct validity (scalability). The conventional nine SCL-90-R subscales (somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideas, and psychoticism), as well as the clinical most valid subscales from the SCL-28 version (depression, anxiety, interpersonal sensitivity, and neurasthenia) were analysed according to a clinimetric approach by comparing PD patients with a control group from a general population study. Scalability was tested by the non-parametric item response theory model by use of a Mokken analysis. Among the various SCL-90-R or SCL-28 subscales we identified from the clinimetric analysis that the somatization, anxiety, phobic anxiety, psychoticism, and neurasthenia (apathy), as well as the SCL-90-R GSI, were the most impaired psychiatric syndromes reaching a clinically significant effect size above 0.80, whereas the total SCL-28 GSI obtained an effect size of just 0.80. Our clinimetric analysis has shown that patients with PD not only are bothered with diverse somatic symptoms, but also with specific secondary psychiatric comorbidities which are clinically severe markers of impairment in the day-to-day function implying a negative cooping approach.

Somatization in Parkinson's Disease: A systematic review

The current systematic review study is aimed at critically analyzing from a clinimetric viewpoint the clinical consequence of somatization in Parkinson's Disease (PD). By focusing on the International Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a comprehensive electronic literature research strategy on ISI Web-of-Science, PsychINFO, PubMed, EBSCO, ScienceDirect, MEDLINE, Scopus, and Google Scholar databases. Out of 2.926 initial records, only a total of 9 studies were identified as clearly relevant and analyzed in this systematic review. The prevalence of somatization in PD has been found to range between 7.0% and 66.7%, with somatoform disorders acting as clinical factor significantly contributing to predict a progressive cognitive impairment. We highlighted that somatization is a highly prevalent comorbidity affecting PD. However, the clinical consequence of such psychiatric symptom should be further evaluated by replacing the clinically inadequate diagnostic label of psychogenic parkinsonism with the psychosomatic concept of persistent somatization as conceived by the Diagnostic Criteria for Psychosomatic Research (DCPR).

Current Psychosomatic Practice

Psychosomatic research has advanced over the past decades in dealing with complex biopsychosocial phenomena and may provide new effective modalities of patient care. Among psychosocial variables affecting individual vulnerability, course, and outcome of any medical disease, the role of chronic stress (allostatic load/overload) has emerged as a crucial factor. Assessment strategies include the Diagnostic Criteria for Psychosomatic Research. They are presented here in an updated version based on insights derived from studies carried out so far and encompass allostatic overload, type A behavior, alexithymia, the spectrum of maladaptive illness behavior, demoralization, irritable mood, and somatic symptoms secondary to a psychiatric disorder. Macroanalysis is a helpful tool for identifying the relationships between biological and psychosocial variables and the individual targets for medical intervention. The personalized and holistic approach to the patient includes integration of medical and psychological therapies in all phases of illness. In this respect, the development of a new psychotherapeutic modality, Well-Being Therapy, seems to be promising. The growth of subspecialties, such as psychooncology and psychodermatology, drives towards the multidisciplinary organization of health care to overcome artificial boundaries. There have been major transformations in health care needs in the past decades. From psychosomatic medicine, a land of innovative hypotheses and trends, many indications for changes in the current practice of medicine are now at hand. The aim of this critical review is to outline current and potential clinical applications of psychosomatic methods.

The clinical consequence of positive mental health in psychotherapy

The current commentary is aimed at critically analyzing the document Psychotherapies for Anxiety and Depression: benefits and costs by focusing on specific theoretical concepts and empirical evidences arising from research studies fulfilled in the area of study of Clinical and Health Psychology. Specifically, the following were the main topics on which we are focused on: i) the clinical consequence potentially resulting from considering the psychological well-being and the euthymia condition as the main targets of a psychotherapeutic treatment; ii) a critical reappraisal of the clinical inadequacy of the evidence based model in psychotherapy; iii) clinimetrics as a clinically based measurement method for evaluating the psychological well-being of a patient after a psychotherapeutic intervention.

Negative Affectivity Predicts Lower Quality of Life and Metabolic Control in Type 2 Diabetes Patients: A Structural Equation Modeling Approach

Introduction: It is essential to consider the clinical assessment of psychological aspects in patients with Diabetes Mellitus (DM), in order to prevent potentially adverse self-management care behaviors leading to diabetes-related complications, including declining levels of Quality of Life (QoL) and negative metabolic control. Purpose: In the framework of Structural Equation Modeling (SEM), the specific aim of this study is to evaluate the influence of distressed personality factors as Negative Affectivity (NA) and Social Inhibition (SI) on diabetes-related clinical variables (i.e., QoL and glycemic control). Methods: The total sample consists of a clinical sample, including 159 outpatients with Type 2 Diabetes Mellitus (T2DM), and a control group composed of 102 healthy respondents. All participants completed the following self- rating scales: The Type D Scale (DS14) and the World Health Organization QoL Scale (WHOQOLBREF). Furthermore, the participants of the clinical group were assessed for HbA1c, disease duration, and BMI. The observed covariates were BMI, gender, and disease duration, while HbA1c was considered an observed variable. Results: SEM analysis revealed significant differences between groups in regards to the latent construct of NA and the Environmental dimension of QoL. For the clinical sample, SEM showed that NA had a negative impact on both QoL dimensions and metabolic control. Conclusions: Clinical interventions aiming to improve medication adherence in patients with T2DM should include the psychological evaluation of Type D Personality traits, by focusing especially on its component of NA as a significant risk factor leading to negative health outcomes.

Psychosis in parkinsonism: an unorthodox approach

Psychosis in Parkinson's disease (PD) is currently considered as the occurrence of hallucinations and delusions. The historical meaning of the term psychosis was, however, broader, encompassing a disorganization of both consciousness and personality, including behavior abnormalities, such as impulsive overactivity and catatonia, in complete definitions by the International Classification of Diseases-10 (ICD-10) and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). Our review is aimed at reminding that complex psychotic symptoms, including impulsive overactivity and somatoform disorders (the last being a recent controversial entity in PD), were carefully described in postencephalitic parkinsonism (PEP), many decades before dopaminergic treatment era, and are now described in other parkinsonisms than PD. Eminent neuropsychiatrists of the past century speculated that studying psychosis in PEP might highlight its mechanisms in other conditions. Yet, functional assessments were unavailable at the time. Therefore, the second part of our article reviews the studies of neural correlates of psychosis in parkinsonisms, by taking into account both theories on the narrative functions of the default mode network (DMN) and hypotheses on DMN modulation.

Use of the Psychosocial Index: A Sensitive Tool in Research and Practice

BACKGROUND

The Psychosocial Index (PSI) is a self-rating scale based on clinimetric principles that is simple to use in a busy clinical setting. It can be integrated by observer-rated clinical judgment, providing a first-line, comprehensive assessment of stress, well-being, distress, illness behavior, and quality of life. By calculation of scores, it can be used for conventional psychological measurements. Its clinical applications and clinimetric properties are reviewed. The present version of the PSI has been slightly revised. In addition, a modified version for use in adolescents and young adults (PSI-Young; PSI-Y) is also included.

METHODS

Articles that involved the use of the PSI were identified by searching the Web of Science database from 1998 to February 2016 and by a manual search of the literature.

RESULTS

A total of 20 studies reporting results from the use of PSI were included. The PSI has been employed in various clinical populations in different countries and showed high sensitivity. It significantly discriminated varying degrees of psychosocial impairment in different populations. When subjects were identified by categorical criteria (presence of allostatic overload, psychosomatic syndromes, psychiatric disorders), the PSI scores were significantly different across subgroups.

CONCLUSIONS

In clinical practice, scanning the list of symptoms allows clinicians to assess rapidly which symptoms and problems are perceived as most troublesome. In research settings, the use of scores makes the PSI a valid and sensitive tool in differentiating levels of psychosocial variables among groups.

Bias in Peripheral Depression Biomarkers

BACKGROUND

To aid in the differentiation of individuals with major depressive disorder (MDD) from healthy controls, numerous peripheral biomarkers have been proposed. To date, no comprehensive evaluation of the existence of bias favoring the publication of significant results or inflating effect sizes has been conducted.

METHODS

Here, we performed a comprehensive review of meta-analyses of peripheral nongenetic biomarkers that could discriminate individuals with MDD from nondepressed controls. PubMed/MEDLINE, EMBASE, and PsycINFO databases were searched through April 10, 2015.

RESULTS

From 15 references, we obtained 31 eligible meta-analyses evaluating biomarkers in MDD (21,201 cases and 78,363 controls). Twenty meta-analyses reported statistically significant effect size estimates. Heterogeneity was high (I2 ≥ 50%) in 29 meta-analyses. We plausibly assumed that the true effect size for a meta-analysis would equal the one of its largest study. A significant summary effect size estimate was observed for 20 biomarkers. We observed an excess of statistically significant studies in 21 meta-analyses. The summary effect size of the meta-analysis was higher than the effect of its largest study in 25 meta-analyses, while 11 meta-analyses had evidence of small-study effects.

CONCLUSIONS

Our findings suggest that there is an excess of studies with statistically significant results in the literature of peripheral biomarkers for MDD. The selective publication of 'positive studies' and the selective reporting of outcomes are possible mechanisms. Effect size estimates of meta-analyses may be inflated in this literature.

Anxiety in adolescent epilepsy. A clinimetric analysis

Background Anxiety and depression have been considered to be neglected disorders in epilepsy. Because panic disorder is one of the most important anxiety disorders, it has been problematic to use very comprehensive anxiety questionnaires in epilepsy patients, as panic attacks and epileptic seizures, although two distinct clinical entities from a diagnostic point of view, show a significant overlap of symptoms. Aims We have focused on single items for anxiety and depression as screening candidates in adolescent epilepsy. Methods The individual panic attack item in the Screen for Children Anxiety Related Emotional Disorders Scale (SCARED) and the single depression item in the Kellner Symptom Questionnaire were tested. Our samples consisted of adolescent patients with epilepsy and a matched control group with healthy participants, as well as two numerical groups acting as controls. Results The single panic attack item identified panic anxiety in 24.1% in the group of patients with epilepsy and 0.0% in the matched control group (p = 0.01). The single depression item identified 52.2% with depression in the epilepsy group and 6.2% in the matched control group (p = 0.001). Conclusion As screening instruments, single items of panic attack and depression are sufficient to screen for these affective states in adolescent epilepsy. The clinical implications are that it is important to be quite specific when screening for depression and panic attacks in adolescent patients with epilepsy.

A clinimetric analysis of the Hopkins Symptom Checklist (SCL-90-R) in general population studies (Denmark, Norway, and Italy)

BACKGROUND

Although the Symptom Checklist (SCL-90-R) is one of the most widely used self-reported scales covering several psychopathological states, the scalability of the SCL-90-R has been found to be very problematic.

AIMS

We have performed a clinimetric analysis of the SCL-90-R, taking both its factor structure and scalability (i.e. total scale score a sufficient statistic) into account.

METHODS

The applicability of the SCL-90-R has been found acceptable in general population studies from Denmark, Norway and Italy. These studies were examined with principal component analysis (PCA) to identify the factor structure. The scalability of the traditional SCL-90-R subscales (i.e. somatization, hostility, and interpersonal sensitivity) as well as the affective subscales (i.e. depression and anxiety and ADHD), were tested by Mokken's item response theory model.

RESULTS

Across the three general population studies the traditional scaled SCL-90-R factor including 83 items was identified by PCA. The Mokken analysis accepted the scalability of both the general factor and the clinical SCL-90-R subscales under examination.

CONCLUSION

The traditional, scaled, general 83 item SCL-90-R scale is a valid measure of general psychopathology. The SCL-90-R subscales of somatization, hostility, and interpersonal sensitivity as well as the affective subscales of depression, anxiety, and ADHD were all accepted by the Mokken test for scalability, i.e. their total scores are sufficient statistics.

Validation of the 17-item Hamilton Depression Rating Scale definition of response for adults with major depressive disorder using equipercentile linking to Clinical Global Impression scale ratings: analysis of Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS) data

OBJECTIVE

The study aimed to define thresholds of clinically significant change in 17-item Hamilton Depression Rating Scale (HDRS-17) scores using the Clinical Global Impression-Improvement (CGI-I) Scale as a gold standard.

METHODS

We conducted a secondary analysis of individual patient data from the Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study, an 8-week, single-arm clinical trial of citalopram or escitalopram treatment of adults with major depression. We used equipercentile linking to identify levels of absolute and percent change in HDRS-17 scores that equated with scores on the CGI-I at 4 and 8 weeks. Additional analyses equated changes in the HDRS-7 and Bech-6 scale scores with CGI-I scores.

RESULTS

A CGI-I score of 2 (much improved) corresponded to an absolute decrease (improvement) in HDRS-17 total score of 11 points and a percent decrease of 50-57%, from baseline values. Similar results were observed for percent change in HDRS-7 and Bech-6 scores. Larger absolute (but not percent) decreases in HDRS-17 scores equated with CGI-I scores of 2 in persons with higher baseline depression severity.

CONCLUSIONS

Our results support the consensus definition of response based on HDRS-17 scores (>50% decrease from baseline). A similar definition of response may apply to the HDRS-7 and Bech-6. Copyright © 2016 John Wiley & Sons, Ltd.

The Assessment of Allostatic Overload in Patients with Congestive Heart Failure by Clinimetric Criteria

The precipitating role of emotional stress in the development of congestive heart failure (CHF) is a long-standing clinical observation. We employed new clinimetric criteria for the assessment of allostatic overload (AO) in a sample of CHF patients, with regard to its associations with psychological distress and health status. Allostatic overload was assessed by a semi-structured interview based on clinimetric criteria in 70 consecutive outpatients with CHF. One observer-rated scale and two self-rating questionnaires for psychological distress were administered. Cardiac variables were also collected at intake. Twenty-three patients (32.9%) were classified as having AO according to clinimetric criteria. Significant differences were found with regard to gender, with women being more likely to report AO than men (23.5% versus 57.9%). Patients with AO presented significantly higher levels of psychological distress (based on scales administered) compared with those who did not. Among cardiac risk factors, hyperglycaemia was found to be significantly associated with the presence of AO. The use of the clinimetric criteria provides a global index for identifying distress that might adversely influence the course and progression of CHF. It may be of use in clinical practice, leading to therapeutic suggestions such as lifestyle modifications and psychotherapy to help patients deal with their difficulties.