Clinical Psychology and Psychotherapy, volume 31, issue 6

Mental Pain Questionnaire: Clinimetric Properties of a Potential Global Person‐Centred Outcome Measure

Fiammetta Cosci 1, 2, 3
Danilo Carrozzino 4
Chiara Patierno 1
Sara Romanazzo 1
Carmen Berrocal 3, 5
Alberto Chiarugi 1, 6
Francesco De Cesaris 6
Serena Guiducci 7
Giovanni Mansueto 1, 3, 8
Kaj S. Christensen 9
Tom Sensky 10
Show full list: 11 authors
Publication typeJournal Article
Publication date2024-11-25
scimago Q1
SJR1.473
CiteScore6.3
Impact factor3.2
ISSN10633995, 10990879
Abstract
ABSTRACT
Introduction

The Mental Pain Questionnaire (MPQ) was developed using a clinimetric approach to bring together the key features of mental pain into a single, brief, transdiagnostic scale. The present study aims at extending the validation of the MPQ to people from three different clinical settings.

Methods

A multicentre, cross‐sectional study on adults diagnosed with migraine (n = 256), systemic sclerosis (n = 219), or mental disorders (n = 138) was conducted. The MPQ was administered; Rasch and Mokken analyses were performed to assess clinimetric validity.

Results

The overall fit to the Rasch model indicated a misfit, improved by the exclusion of a single item. MPQ showed to be unidimensional. MPQ total score and individual items scalability were optimal except for the same item. The total MPQ score showed an optimal scalability for the systemic sclerosis sample and an acceptable scalability for the migraine and mental disorders samples. Local dependency was found between two pairs of items. Person separation reliability indices (PSI 0.45) showed that the MPQ could not distinguish between groups with different levels of mental pain.

Conclusion

Mental pain has the potential to serve as a truly generic patient‐centred outcome measure. Recommendations are made for revisions of the original MPQ, but these will require testing in further validation studies.

Christensen K.S., Cosci F., Carrozzino D., Sensky T.
2024-01-04 citations by CoLab: 4
Cosci F., Mansueto G., Benemei S., Chiarugi A., De Cesaris F., Sensky T.
CNS Spectrums scimago Q2 wos Q2 Open Access
2021-07-27 citations by CoLab: 4 PDF Abstract  
AbstractBackgroundMental pain has been proposed as a global person-centered outcome measure. The aim of this cross-sectional study was to test an essential requisite of such a measure, namely that mental pain incorporates independent contributions from a range of discrete but disparate outcome measures.MethodsTwo hundred migraine patients were assessed concerning migraine disability, psychosomatic syndromes, mental pain, depression, anxiety, and psychosocial dimensions. General linear models were tested to verify which measures would individually make unique contributions to overall mental pain.ResultsThe final model, accounting for 44% of variance, identified that higher mental pain was associated with more severe depressive symptoms, higher migraine disability, lower well-being, and poorer quality of life.ConclusionIn this sample, mental pain was shown to behave as expected of a global outcome measure, since multiple measures of symptomatology and quality of life showed modest but significant bivariate correlations with mental pain and some of these measures individually made unique contributions to overall mental pain.
Cosci F.
2021-05-28 citations by CoLab: 17
Carrozzino D., Patierno C., Guidi J., Berrocal Montiel C., Cao J., Charlson M., Christensen K., Concato J., De las Cuevas C., de Leon J., Eöry A., Fleck M., Furukawa T., Horwitz R., Nierenberg A., et. al.
2021-05-26 citations by CoLab: 99 Abstract  
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 clini­metric 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.
Sensky T.
2020-08-11 citations by CoLab: 9 Abstract  
Fava et al. [1] have recently proposed mental pain as a transdiagnostic patient-reported outcome measure.A similar claim has been made for suffering [2].The main aims of this paper are: (a) to briefly outline the requirements of an optimal person-centred outcome measure; (b) to compare the features characteristic of mental pain and suffering; and (c) to consider mental pain and suffering as candidates for an optimal person-centred outcome measure.The conceptualisation and measurement of mental pain have been reviewed previously [1,3], and before comparing this with suffering, a brief review will be presented of the conceptualisation and measurement of suffering.
Fava G., Tomba E., Brakemeier E., Carrozzino D., Cosci F., Eöry A., Leonardi T., Schamong I., Guidi J.
2019-10-30 citations by CoLab: 50 Abstract  
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.
Svicher A., Romanazzo S., De Cesaris F., Benemei S., Geppetti P., Cosci F.
Journal of Affective Disorders scimago Q1 wos Q1
2019-04-01 citations by CoLab: 18 Abstract  
The Mental Pain Questionnaire (MPQ) is a self-report questionnaire developed to assess mental pain. The aim of the present study was to test the clinimetric properties of the MPQ.A sample of 200 migraine outpatients were enrolled; homogeneity of MPQ was assessed by Mokken Analysis; item-level severity and item-level sensitivity were calculated via Two-Parameter Logistic model; Total Information Function was evaluated to assess reliability of MPQ; internal consistency was calculated via Cronbach's alpha and Sijtsma and Molenaar rho; sensitivity and specificity were assessed via Receiver Operating Characteristic curves.The MPQ showed unidimensional factor structure; satisfactory homogeneity of the item and total score, except items 4 ("my pain is everywhere") and 6 ("I cannot understand why I feel this pain"); good discrimination, except item 7 ("I feel empty"); low information provided by items 4, 6, 7; good reliability for mild and high levels of mental pain; poor reliability for low levels of mental pain; acceptable internal consistency; acceptable sensitivity and specificity.The sample size is barely sufficient to calculate item parameters; it is a monocentric study that enrolled outpatients from a tertiary facility; the study enrolled migraine outpatients not affected by other medical disease.The MPQ showed good psychometric properties. Items 4, 6, 7 should be considered with caution when migraine patients are evaluated. A score of at least 3 indicates mental pain clinically relevant, a score of at least 2 indicates distress. These data are preliminary and refer to migraine patients, results might be different in psychiatric populations.
Christensen K.S., Oernboel E., Zatzick D., Russo J.
2017-06-01 citations by CoLab: 20 Abstract  
The Patient Health Questionnaire (PHQ-9) is widely used for screening of depression in acutely injured trauma survivors. Rasch analysis has been used to evaluate its measurement characteristics. This paper aims: 1) to assess the psychometric properties of the nine PHQ-9 items and 2) to determine the structural validity of using the total PHQ-9 score as a clinical outcome measure.PHQ-9 data for 937 persons aged 18-60years admitted to 20 level 1 trauma centers in the United States were included. Good model fit indicates that all items contribute to a single underlying trait.Item 2 demonstrated misfit to the Rasch model, and six items showed disordered response categories. Ordered response categories were achieved for all nine items after modifying the original four-point scoring system into a three-point system. Person separation reliability was acceptable (0.80) for discriminating between groups of patients. Dimensionality testing supported combining the nine items into a total score. No significant differential item functioning was observed for sex and age group.Despite some minor problems with its measurement structure, the short nine-item version of the PHQ seems to be an economic and valid instrument for the screening of depression in adults admitted to level 1 trauma centers.
Nielsen M.G., Ørnbøl E., Vestergaard M., Bech P., Christensen K.S.
2017-06-01 citations by CoLab: 18 Abstract  
We aimed to assess the measurement properties of the ten-item Major Depression Inventory when used on clinical suspicion in general practice by performing a Rasch analysis.General practitioners asked consecutive persons to respond to the web-based Major Depression Inventory on clinical suspicion of depression. We included 22 practices and 245 persons. Rasch analysis was performed using RUMM2030 software. The Rasch model fit suggests that all items contribute to a single underlying trait (defined as internal construct validity). Mokken analysis was used to test dimensionality and scalability.Our Rasch analysis showed misfit concerning the sleep and appetite items (items 9 and 10). The response categories were disordered for eight items. After modifying the original six-point to a four-point scoring system for all items, we achieved ordered response categories for all ten items. The person separation reliability was acceptable (0.82) for the initial model. Dimensionality testing did not support combining the ten items to create a total score. The scale appeared to be well targeted to this clinical sample. No significant differential item functioning was observed for gender, age, work status and education. The Rasch and Mokken analyses revealed two dimensions, but the Major Depression Inventory showed fit to one scale if items 9 and 10 were excluded.Our study indicated scalability problems in the current version of the Major Depression Inventory. The conducted analysis revealed better statistical fit when items 9 and 10 were excluded.
Bech P.
2016-10-14 citations by CoLab: 34 Abstract  
In the mid-1950s, before the era of psychopharmacological drugs, Parloff et al. [1] designed an outcome scale by which all neurotic patients and all forms of psychotherapy could be clinimetrically compared. The items in this Hopkins Symptom Checklist (SCL) were selected to measure both bodily and mental distress, covering the symptoms people presented when seeking help at the outpatient clinic for psychotherapy at the University Hospital in Baltimore. In its original version the SCL contained 41 items (SCL-41). These were published by Bech [2] with permission from Jerry Frank. Over the 2 decades from 1954 to 1973 the SCL was enlarged to cover states of phobia, obsessive-compulsive states, depression, anxiety, and panic. The ultimate version, SCL-90 [3], thus covered the psychopathological symptoms of the ordinary mental disorders (anxiety, depression, mania, and schizophrenia) but still had as its basic structure bodily distress or somatization, and emotional distress or interpersonal sensitivity.At the start of the psychopharmacological era in the 1960s, clinician-rated scales were preferred, as these were seen as fulfilling the requirements of the authorities for approval of the new antianxiety, antidepressant, or antipsychotic drugs. In this respect two Hamilton scales were developed - the Hamilton Depression Scale (HAM-D) [4] and the Hamilton Anxiety Scale (HAM-A) [5] - as well as the Brief Psychiatric Rating Scale (BPRS) [6] that covered the outcome measure of patients with ordinary mental disorders. It was expected that the DSM-5 [7] would adopt the self-reported SCL-90 and the clinician-reported HAM-D, HAM-A, and BPRS [8], but the editors of the DSM-5 found that the dimensional approach was too complicated, probably due to a lack of clinimetric understanding. Another dimensional instrument was also seriously considered by the editors of the DSM-5, namely the Patient-Reported Outcome Measurement Information System (PROMIS), according to Greenberg [9]. The US National Institute of Health lay behind the PROMIS in an attempt to provide access to health outcomes in both somatic disorders and mental disorders, including psychosomatic disorders. PROMIS covers 5 health domains: physical functioning, social functioning, emotional distress, pain, and fatigue. The items are selected from these domain banks. For example, in the domain of emotional distress items measuring anxiety and depression are to be found in a bank from which the researcher can select items ordered according to the severity location of the dimension under measurement. This ordering of severity is based on clinimetric item response theory models [10]. However, the editors of the DSM-5 rejected PROMIS due to lack of sufficient evidence [9]. Another candidate for health outcome measures of somatic and mental disorders was developed by the International Consortium for Health Outcomes Measurement (ICHOM) [11]. The ICHOM domain of emotional distress lists a Standard Set for Depression and Anxiety which includes a battery of scales. However, many of these are diagnostic screening scales rather than clinimetrically valid easy-to-use outcome scales. The Psychosocial Index (PSI) actually contains easy-to-use subscales [12], covering psychosomatic components such as stress, coping with stress, symptoms of anxiety and depression, abnormal illness behavior, and health-related quality of life. It seems clinimetrically relevant to compare the PSI with the banks of items from existing internationally well-accepted scales such as the SCL-90, HAM-D, HAM-A, and BPRS, including the easy-to-use WHO-5 well-being scale and the side effect of treatment scale [13]. In this clinimetric comparison we need, however, to take the following dilemmas into account. When constructing the first version of the SCL, the SCL-41, Parloff et al. [1] considered the components of bodily and emotional distress to be so subjective that ‘no one can judge it but the patient'. This statement is also valid for the WHO-5 Quality of Life Scale [14]. On the other hand, in measurement-based care, which is ideally based on a collaborative contact between the therapist and his or her patient, the drug-related outcome is typically clinician-reported. Thus, in the STAR*D study of measurement-based care in depressed patients receiving antidepressive medication, Trivedi et al. [15] used the HAM-D as the primary outcome measure. In the PSI an attempt at collaboration between the therapist and his or her patient is established as the clinician makes a global rating based on the self-reported components.In the practical outcome evaluation plan it is essential for both therapist and patient to have easy-to-use scales because in the practical routine each clinic visit has a duration of less than 15 min [8]. These brief scales are conventionally derived from longer versions used in clinical research, because it is important to compare the results from the practical work with the results obtained in controlled trials on which the treatment has been approved by the authorities. From the SCL-90 we have brief subscales for interpersonal sensitivity, somatization, anxiety and depression, clinimetrically selected by item response theory models [16]. From the HAM-D we have the HAM-D6 and from the HAM-A the HAM-A6[13]. In the PSI valid subscales covering the different domains are indicated.When using brief scales, it is clinimetrically preferable to have Likert scales as continuous item quantifiers. In the WHO-5, frequency over the past 2 weeks is the quantifier and is defined on a Likert scale from 0 (at no time) to 5 (all of the time). On the SCL scales the items are measured on an intensity quantifier in which the Likert scale goes from 0 (not at all) to 4 (extremely), which is also the case for the PSI.In the WHO-5 the items measure positive well-being and are positively worded, whereas the items in the SCL-90 measure negative symptoms and are therefore negatively worded. In many scales, items worded in opposite directions are used, implying that some of the items have to be reversed in the scoring process [13]. According to De Vellis [17] the disadvantages of items worded in opposite directions outweigh any benefits clinimetrically.In outcome scales the ability to discriminate between patients and controls is the most important criterion-related validity index. The SCL-90 and the PSI on the one hand and the HAM-D6, HAM-A6, and BPRS6 on the other hand have all been shown to possess an adequate discriminatory validity.In the PSI, the subscale measuring abnormal illness behavior focuses on the ability to predict response to treatment. Thus, Mechanic [18] considers illness behavior to be an important predictor of how patients adhere to medical advice and of the course of illness, including response to treatment. Sirri et al. [19] have, among the patient-related variables within illness behavior, identified neuroticism as significantly associated with low adherence to medical treatment. Within mental disorders the Eysenck Neuroticism Scale has been shown to have predictive validity both in studies with anxiety disorder [20] and in studies with depression [21]. The type A behavior considered to be a personality trait associated with medical conditions [22] should be regarded as part of the Eysenck extraversion dimension [23,24]. When summing up all items into a single score, the items have to reflect one single dimension of severity on which the items are located, in a rank-ordered structure [13]. The original version of the SCL, the SCL-41, was actually designed as a unidimensional scale measuring distress or discomfort. Thus, Parloff et al. [1] stated that the total score of the 41 items would show improvement due to treatment if there was a net decline in the intensity of each individual item. The full SCL-90 version was tested by Derogatis et al. [3] by factor analysis, which identified 9 factors: somatization, obsession-compulsive states, interpersonal sensitivity, depression, anxiety, anger-hostility, phobic anxiety, paranoid ideation, and psychoticism. This factor analytic study performed by Derogatis et al. [3] has been criticized in many studies, that of Vassend and Skrondal [25] being the most important. Whereas somatization and interpersonal sensitivity correspond to the original SCL-41, the factor of obsessive-compulsive states includes many clinically unspecific items. From a clinimetric point of view we need to start with the clinically meaningful subscales and investigate the unidimensional scalability through item response theory models. In a general population study [16] and a clinical study [26] we found the somatization subscale to have borderline acceptability from a clinimetric point of view, while the subscale of interpersonal sensitivity was clearly acceptable. Clinically, we selected the anxiety items to cover Freud's concept of ‘Die gemischte Neurose', covering generalized anxiety, panic, phobia, and obsessive-compulsive states. The resulting 8-item SCL anxiety subscale had a high scalability, as did the 6-item SCL depression subscale corresponding to the HAM-D6. The full HAM-D (HAM-D17) is multidimensional like the SCL-90, but the HAM-D6 is unidimensional [13]. The items in the PROMIS have undergone a careful evaluation for unidimensionality. The items in the various domains are considered as item banks from which the user can select his or her scale [27].In the large National Institute of Mental Health outcome measure project, the change during the therapeutic intervention from baseline to endpoint was the conventional improvement measure, either as a 50% reduction of scale score or in terms of effect size statistics [28]. However, Rush et al. [29] recommended evaluating the percentage of patients remitted at endpoint with a concomitant reporting of the number needed to treat because this is much more relevant and understandable than differences between groups in terms of changes from baseline to endpoint in overall symptom severity. When calculating remission rates, we need to have valid cutoff scores on the rating scales. When establishing the HAM-D17 cutoff score for remission, correspondence to a clinical global assessment below mild depression is recommended [30]. When using self-reported questionnaires such as the SCL-90 subscales or the WHO-5 Well-Being Index, mean scores for the general population studies are employed [14,16]. The PSI has via the global observer ratings an acceptable cutoff score to indicate remission, in contrast to the PROMIS or the ICHOM battery of scales.In conclusion, outcome scales for mental disorders ensure that when working with different treatment orientations, both researchers and ordinary clinicians are able to compare and integrate the results [30]. The PSI should be considered as such a scale. The other outcome scales referred to here should be considered, not as rivals, but as convergent solutions.
Verrocchio M.C., Carrozzino D., Marchetti D., Andreasson K., Fulcheri M., Bech P.
Frontiers in Psychiatry scimago Q1 wos Q2 Open Access
2016-06-20 citations by CoLab: 160 PDF Abstract  
Background: Mental pain, defined as a subjective experience characterized by perception of strong negative feelings and changes in the self and its function, is no less real than other types of grief. Mental pain has been considered to be a distinct entity from depression. We have performed a systematic review analyzing the relationship between mental pain and suicide by providing a qualitative data synthesis of the studies. Methods: We have conducted, in accordance with PRISMA guidelines, a systematic search for literature in PubMed, Web Of Science, and Scopus. Search terms were ‘mental pain’ “OR” ‘psychological pain’ OR ‘psychache’ combined with the Boolean “AND” operator with ‘suicid*’. In addition, a manual search of the literature, only including the term ‘psychache’, was performed on Google Scholar for further studies not yet identified. Results: Initial search identified 1450 citations. A total of 42 research reports met the predefined inclusion criteria and were analyzed. Mental pain was found to be a significant predictive factor of suicide risk, even in the absence of a diagnosed mental disorder. Specifically, mental pain is a stronger factor of vulnerability of suicidal ideation than depression. Conclusions: Mental pain is a core clinical factor for understanding suicide, both in the context of mood disorders and independently from depression. Health care professionals need to be aware of the higher suicidal risk in patients reporting mental pain. In this regard, psychological assessment should include a clinimetric evaluation of mental pain in order to further detect its contribution to suicidal tendency.
Fava G.A.
2016-04-04 citations by CoLab: 68 Abstract  
ical Interview for Depression (CID) [7] , and increases in well-being, as assessed by the Psychological Well-Being (PWB) scales [8] . However, when residual symptoms of the two groups were compared after treatment, a significant advantage of WBT over CBT was observed with the CID. WBT was also associated with a significant increase in PWB, particularly in the personal growth scale [6] . The small number of subjects suggested caution in interpreting this difference and the need for further studies with larger samples of patients with specific mood or anxiety disorders. This is why I decided to include WBT in the treatment package, together with CBT of residual symptoms and lifestyle modification, of a study concerned with patients with a severe form of recurrent depression defined as the occurrence of 3 or more episodes of unipolar depression, with the immediately preceding episode being no more than 2.5 years before the onset of the current episode [9] . Forty patients with recurrent major depression, who had been successfully treated with antidepressant drugs, were randomly assigned to either this package including WBT or clinical management. In clinical management the same number of sessions that was used in the experimental condition was given. Clinical management consisted of reviewing the clinical status of the patient and providing the patient with support and advice, if necessary. In both groups, antidepressant drugs were tapered and discontinued. The In the 1990s, as other investigators, I was particularly concerned about the high risk of relapse in depression and its link with residual symptomatology [1] . It was not easy to make the patients better, but it was even more difficult to keep them well. My co-workers and I had performed a small controlled study on the effects of addressing residual symptomatology with cognitive-behavior therapy (CBT) in reducing relapse rates. Compared with a control condition, there were significant differences after 4 years [2] , but not after 6 years [3] . I felt that what I had introduced (a sequential strategy: first treatment with antidepressant drugs and then CBT of residual symptoms) was good, but it was not sufficient. I was looking for a psychotherapeutic strategy that could increase the level of recovery. This was the setting where I developed a psychotherapeutic technique for increasing psychological well-being, well-being therapy (WBT) [4] . Since CBT of residual symptoms of depression was found to be more effective than clinical management [5] , I thought that comparing the two strategies (CBT and WBT) could be the first step. Twenty patients with mood and anxiety disorders who had been successfully treated by behavioral (anxiety disorders) or pharmacological (mood disorders) methods were randomly assigned to either WBT or CBT of residual symptoms [6] . Both WBT and CBT were associated with a significant reduction of residual symptoms, as measured by the ClinReceived: December 18, 2015 Accepted after revision: January 17, 2016 Published online: April 5, 2016
Fava G.A.
2016-03-07 citations by CoLab: 87
van den Hoogen F., Khanna D., Fransen J., Johnson S.R., Baron M., Tyndall A., Matucci-Cerinic M., Naden R.P., Medsger T.A., Carreira P.E., Riemekasten G., Clements P.J., Denton C.P., Distler O., Allanore Y., et. al.
2013-10-03 citations by CoLab: 1816 Abstract  
Objective The 1980 American College of Rheumatology (ACR) classification criteria for systemic sclerosis (SSc) lack sensitivity for early SSc and limited cutaneous SSc. The present work, by a joint committee of the ACR and the European League Against Rheumatism (EULAR), was undertaken for the purpose of developing new classification criteria for SSc.Methods Using consensus methods, 23 candidate items were arranged in a multicriteria additive point system with a threshold to classify cases as SSc. The classification system was reduced by clustering items and simplifying weights. The system was tested by (1) determining specificity and sensitivity in SSc cases and controls with scleroderma-like disorders, and (2) validating against the combined view of a group of experts on a set of cases with or without SSc.Results It was determined that skin thickening of the fingers extending proximal to the metacarpophalangeal joints is sufficient for the patient to be classified as having SSc; if that is not present, seven additive items apply, with varying weights for each: skin thickening of the fingers, fingertip lesions, telangiectasia, abnormal nailfold capillaries, interstitial lung disease or pulmonary arterial hypertension, Raynaud9s phenomenon, and SSc-related autoantibodies. Sensitivity and specificity in the validation sample were, respectively, 0.91 and 0.92 for the new classification criteria and 0.75 and 0.72 for the 1980 ACR classification criteria. All selected cases were classified in accordance with consensus-based expert opinion. All cases classified as SSc according to the 1980 ACR criteria were classified as SSc with the new criteria, and several additional cases were now considered to be SSc.Conclusions The ACR/EULAR classification criteria for SSc performed better than the 1980 ACR criteria for SSc and should allow for more patients to be classified correctly as having the disease.
Cephalalgia scimago Q1 wos Q1
2013-06-14 citations by CoLab: 5956
Habibi D., Parsaei R., Roohafza H., Feizi A.
2025-02-17 citations by CoLab: 0 PDF Abstract  
Despite considerable research on the association between Personality Traits (PT) and Quality of Life (QoL) in patients and older adults, this association remains poorly understood among the middle-aged general population.This investigation examines how each PT is associated with total QoL and its dimensions. The present investigation utilized data collected from a cross-sectional survey involving 786 families in Isfahan (644 female/wife respondents), Iran. QoL and PT were assessed using the validated WHOQOL-BREF and NEO-FFI questionnaires. Other data including demographic and socioeconomic status (SES) were also collected. Statistical analyses included bivariate correlation and simple and multiple linear and logistic regressions. Mean value of Psychological health [Mean difference = -4.34, P = 0.003], Physical health [mean difference = -3.93, P = 0.004], and total score of QoL [mean difference = -3.21, P = 0.049] were all significantly lower in women than men. Higher SES score was consistently associated with greater QoL scores (r > 0, P < 0.05). The physical domain and total QoL scores have been negatively correlated with the spouse's age (r < 0, P < 0.05). In crude and adjusted models, higher Neuroticism scores were inversly associated with higher scores of all QoL domains and total QoL (OR < 1, P < 0.05, for all models) while others personality traits except Openness showed a direct association (OR > 1, P < 0.05). Linear regression analysis also confirmed that higher Neuroticism scores were linked to poorer QoL scores (Betacoefficient < 0, P < 0.05), while all other traits, except Openness, showed a positive association (Betacoefficient > 0, P < 0.05). This study provides robust evidence about the significant association of PT with QoL outcomes in middle aged people. This significant association highlights the importance of considering these traits in clinical applications, as tailored interventions based on personality profiles can effectively enhance the well-being of middle-aged individuals.
Bató A., Brodszky V., Rencz F.
2025-02-17 citations by CoLab: 0 PDF Abstract  
Abstract Background Hungarian SF-36 population norm data were last collected in 1997–1998 and have not been updated since, reducing their relevance and limiting their usability and comparability. This study aimed to establish contemporary normative data for the SF-36 domain and standardised summary scores in Hungary and compare them to the previous population norms. Methods An online cross-sectional survey, including the SF-36v1, was conducted among 1,700 members of the Hungarian adult general population in 2020. The sample demonstrated good representativeness across key sociodemographic characteristics. Normative data were calculated for domains using raw scores and for summary scores using country-specific factor score coefficients derived from exploratory factor analysis. Multivariate linear regression models were performed to examine the association of domain and summary scores with sociodemographic and health-related characteristics. Raw domain scores were compared with the 1997–1998 norms. Results Males reported higher scores (better health) in seven out of eight domains (p < 0.001). Mean standardised PCS scores decreased, whereas MCS scores increased with age (p < 0.001). Compared to the 1997–1998 population norms, the 18–24 and 25–34 age groups reported lower, while the 65 + age group reported higher scores in all eight domains. Higher scores were reported in 2020 from the 35–44 age group onward on the role physical, bodily pain, social functioning, and role emotional domains. Conclusions This study established contemporary population norms for the SF-36 in Hungary. Our results highlight the changes in health status in the general population, particularly in young adults, compared to the 1997–1998 population norms, and provide valuable input to inform decision-makers.

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