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[Study of dissociative disorders and depersonalization in a sample of young adult French population].

UNLABELLED: Questioned by several researches about dissociative disorders, the authors study differences established on the nosographic register, through a quantitative study and a psychodynamic argumentation in a sample of french population. From the utilisation of the Dissociative Experiences Scale (DES) created by Bernstein E and Putnam FW (1986), which is an excellent screening tool for dissociative disorders and constructed on DSM II diagnostic criterions, the authors will show the interest of a psychodynamic analysis of dissociative disorders, in the face of the diagnostic difficulty in relation to several approaches of this concept. This difficulty is studied giving the background to dissociative disorders and depersonalization. Ionescu (1999) shows that between 1890 and 1910 dissociation represents one of major themes of psychology, psychopathology and psychiatry. Then, this interest about dissociation decreases and will be almost non-existent in the middle of the twentieth century. The interest for dissociative disorder will grow in the eighties with north-american studies about multiple personality disorders. Until 1980, dissociative disorders exist in DSM II as a list of symptoms included into hysterical neurosis, among the conversive disorders. In 1980, the publication of DSM III replaces the notion of hysteria with the notion of dissociative disorder. In this way, we can see on the one hand somatoform disorders quarterly corresponding to the ancient version of conversive hysteria, and on the other hand dissociative disorders characterized by a perturbation of consciousness, memory, identity or perception of environment. In 1994, The DSM IV delete the notion of hysteria and neurosis and keeps only the notion of dissociative disorders. They include now the five following categories: dissociative amnesia, dissociative fugue, depersonalization disorder, dissociative identity disorder, dissociative disorder not otherwise specified (including derealization). Depersonalization disorders consist of "persistent or recurrent episodes of depersonalization characterized by a feeling of detachment or estrangement from one's self. The individual may feel like an automation or like he or she is living in a dream or movie" (DSM IV). Depersonalization disorder cannot be diagnosed if it is part of schizophrenia, panic disorder, acute stress disorder or dissociative identity disorder. Various depressive disorders, hypocondriasis or obsessive-compulsive disorders can accompany depersonalization disorder. The first purpose of this study will search the frequency of dissociative disorders and depersonalization in a sample of normal population. Further, the inclusion of depersonalization amongst dissociative disorders seems not so evident: depersonalization belongs to self-consciousness disorder in french psychiatry. This fact seems more logical insofar as dissociative disorders have all together a memory and consciousness perturbation, and this perturbation is missing from depersonalization's feeling. The second purpose will be to clarify and specify the particularity of depersonalization among dissociative diorders, from the psychopathological point of view. METHODOLOGY: The sample (n = 248) is made up of french young adults aged 17 to 30 (mean age = 20, SD = 15 and 24% is male population). Subjects were streamming from universities. The screening tool which was used is the Dissociative Experiences Scale, a 28-item patient questionnaire regarding various dissociative symptoms. The subject is asked to indicate the percentage of time, to the nearest 5%, that particular symptom is experienced. The score is made by adding the various percentages and finding a mean that is expressed in numbers from 0 to 100. Normal scores are in the range of 5 to 15 in american adults. RESULTS: The utilization of principal component analysis (PCA) with varimax rotation is justified by the will to compare this study with American's studies. The mean score obtained is 17.44%, and 13.3% of the scores exceed a psychiatric threshold at 30%. The descriptive analysis shows that the component 1 (PCA without varimax rotation) represents 33.02% of total explained variance. This result demonstrates that the structure of the DES is based on one concept, the same as the american population, it is the concept of dissociation. The Principal Component Analysis with varimax rotation of the DES ratings yielded a tree-factor solution: imaginative absorption (F1), depersonalization-derealization (F2) and dissociative amnesia (F3). Mean score for each factor is respectively: F1 = 21.56%, F2 = 13.95%, F3 = 11.04%. DES reliability was studied through computation of Cronbach's coefficient (0.92). The PCA with varimax rotation brings to the fore a full dissociative disorder without any trouble of memory and consciousness. This fact questions again once more the link between hysteria and dissociative disorders. There is here a clinical distinction between depersonalization-derealization and other dissociative disorders. Indeed, the absence of significant alteration of memory and conscience is specific of depersonalization and derealization in this study. CONCLUSION: Finally, this study concurs with DSM IV dissociative criterions. At last, one factor of PCA is composed by the association of depersonalization and derealization, in contradiction with DSM IV definition. This result shows that, into the french population, we cannot divide the two concepts.

Adult↗

An objective feature extraction technique applied to the Doppler waveforms from the groin: a prospective study.

A group of 80 patients presenting with lower limb ischaemia were classified according to their arteriographic findings. The maximum frequency envelope from the Doppler waveforms obtained from the common femoral artery were retrospectively analysed using a mathematical feature extraction technique, principal component analysis (PCA). Two of the three coefficients uniquely describing each waveform were plotted and classified according to their arteriographic groupings. The best separating planes were then defined. Twenty-eight new patients were subsequently prospectively assessed using the principal components and separating planes defined in the previous study. The results were compared with the arteriographic findings and showed that PCA represents a significant improvement in diagnostic accuracy when compared with other techniques.

Aorta↗

A multivariate solution for cyclic data, applied in modelling locomotor forces.

The variability in dependent biological data (measured as forces at the human foot during pedalling) was reduced, by principal components analysis, to two major components which, combined, accounted for 46% of the variability observed in sets of 26 observations per cycle. On the basis of weightings over the cycle, the components were interpreted as due to Power Production and to Phase Switch from power-generation to recovery. Force measurements were made for three frequencies of leg pedalling (1.00, 1.66, and 2.33 Hz at 10 N ergometer resistance). For each principal component, the mean (or summed) deviation over 75 consecutive cycles was found to increase linearly (p less than 0.05) with velocity of leg movement, by 7% and 85% respectively. Analysis of autocorrelations over cycles of movement showed that, in contrast to the strong interconnections of force measures within a cycle of movement, between-cycle dependence was very low. The statistical technique described provides a useful descriptive and inferential method for analyzing dependent cyclic data. The resulting model of the locomotor forces generated at the foot implies that control of power output is substantially for one cycle of a limb and that variability of force increases at the point when the leg switches from power-generation to recovery.

Analysis of Variance↗

VoiSS: a patient-derived Voice Symptom Scale.

OBJECTIVE: Many voice-rating tools are either physician-derived, disease-specific measures or they merely combine general quality-of-life domains with vocal symptoms. The aim of this series of studies was to devise and validate a patient-derived inventory of voice symptoms for use as a sensitive assessment tool of (i) baseline pathology and (ii) response to change in adult dysphonia clinics. METHOD: Three stages in the development of the instrument are described. First, an initial exploratory, open-ended questionnaire study was used to compile a prototype list of voice complaints [Clin Otolaryngol 22 (1997) 37]. Second, the prototype list was administered to 168 subjects with dysphonia and underwent principal components analysis. Qualitatively, it was also assessed at this stage for its ability to capture voice-related impairment, disability and handicap. Third, a modified 44-item scale was administered to 180 new subjects. RESULTS: The symptoms were highly endorsed. Principal components analysis with oblique rotation yielded a Voice Symptom Scale (VoiSS); 43 of the items comprise a 'general voice pathology' scale. More specifically, five oblique components provided assessments of: 'communication problems,' 'throat infections,' 'psychosocial distress,' 'voice sound and variability' and 'phlegm.' CONCLUSION: The VoiSS is simple for patients to complete and easy to score. It is sensitive enough to reflect the wide range of communication, physical symptoms and emotional responses implicit in adult dysphonia.

Disability Evaluation↗

Visualizing substructural fingerprints.

Substructural fingerprints have proven very useful for chemical library and diversity analysis, but their high dimensionality makes them poorly suited to principal components analysis and to standard nonlinear mapping methods. By using a combination of optimizable K-dissimilarity selection (OptiSim) and a modified stress function that suppresses effects of distances that fall beyond a characteristic horizon, it is possible to relax principal components analysis coordinates into more consistently meaningful projections from fingerprint space into two dimensions. The nonlinear maps so obtained are useful for characterizing combinatorial libraries, for comparing sublibraries, and for exploring the distribution of biological properties across structural space.

Combinatorial Chemistry Techniques↗

Impact of high and low anxiety on cognitive performance in a modified hole board test in C57BL/6 and DBA/2 mice.

We investigated the interaction between behavioural dimensions and cognitive performance in the inbred mouse strains C57BL/6 and DBA/2, which have previously been found to differ in cognitive performance and emotionality. Because it has never been evaluated whether cognitive performance and emotional behaviour are interrelated in these strains, we analysed various behavioural dimensions and cognitive functions in parallel using the modified hole board test. We could show that naive BL6 and DBA mice distinctly differed in terms of anxiety-related behaviour. Principal component analysis on the phenotyping data showed that anxiety-related behaviour was described by identical parameters and was not correlated to locomotion in the two strains. During cognitive testing, DBA mice habituated faster and performed better than BL6 mice. Principal component analysis indicated a close correlation between anxiety-related behaviour and cognitive performance in DBA mice, being associated with a highly successful cognitive performance. In BL6 mice, cognition was correlated to general exploration. This correlation turned out to be less successful in performing the modified hole board test. Our findings support the idea that high anxiety may interact with specific cognitive processing, thus offering a promising animal model for future preclinical research on the interaction of anxiety and cognition.

Animals↗

Effects of temperature and outdoor air supply rate on the performance of call center operators in the tropics.

UNLABELLED: A study was performed in a call center that provides billing inquiry services using a 2 x 2 balanced experimental plan for nine consecutive weeks. Two independent variables, temperature and outdoor air supply rate, were combined and introduced to the occupants in a blind intervention approach. The temperature set-points were fixed at 22.5 degrees C and 24.5 degrees C, and outdoor air supply rate at 5 l /s/p and 10 l/s/p. Temperature and outdoor air supply rate had significant interaction effects on worker's talk time (P < 0.001), which means that the effects of temperature on talk time performance were not independent of the effects of outdoor air supply rate or the opposite. Talk time was reduced significantly when the outdoor air supply rate was increased from 5 l /s/p to 10 l/s/p at 24.5 degrees C (P < 0.01); this may be associated with the significant reduction in a principal component factor which includes intensity of dryness, aching eyes and nose-related symptoms (P < 0.01). Decreasing the temperature from 24.5 degrees C to 22.5 degrees C at 10 l /s/p significantly increased talk time (P < 0.01). Analysis of the principal component factor based on the neurobehavioral symptoms also revealed that temperature reduction led to an increased mean factor score of these symptoms (P < 0.04). PRACTICAL IMPLICATIONS: For moderately complex office work which involves manipulation dexterity such as a call center operation where call operators interact with computer-based information systems, tropically acclimatized workers' performance could be improved by increasing the outdoor air supply rate from 5 l/s/p to 10 l/s/p if the temperature is to be maintained at the higher band of the thermal comfort range, around 24.5 degrees C. At a low ventilation rate (5 l/s/p), decreasing the temperature from 24.5 degrees C to 22.5 degrees C (which is a commonly adopted set-point in tropical office buildings) also leads to improvement of talk time performance. The magnitude of talk time improvement was greater by more than four times when the strategy to increase the outdoor air supply rate was implemented at a lower range of outdoor air supply rate (5-10 l /s/p) as compared to the higher range (9.8-22.7 l/s/p).

Adult↗

Traditional and patient-centred outcomes with three classes of asthma medication.

Lung function is commonly used as the primary endpoint in asthma clinical trials, but it may not reflect changes which are important to patients. The present study compared changes in, and relationships between, traditional and patient-centred end-points during treatment with three classes of asthma medication. Subjects with mild-to-moderate asthma were randomised to double-blind, double-dummy crossover treatment with eformoterol 12 microg b.i.d. or montelukast 10 mg q.d., then single-blind treatment with fluticasone 250 microg b.i.d./placebo capsules, with 6-week treatment periods and 1-week washouts. Individual "traditional" end-points (symptoms, reliever use, forced expiratory volume in one second per cent predicted, morning peak expiratory flow, airway hyperresponsiveness) and "patient-centred" end-points (asthma control questionnaire, quality of life, patient global assessments) were assessed. Principal component analysis and linear modelling were used to explore overall rank orders for treatment, and relationships between outcomes. A total of 58 subjects were randomised. The rank order of benefit from eformoterol and fluticasone differed for three factors derived from principal component analysis (eformoterol>fluticasone for symptom/reliever use factor, fluticasone>eformoterol for lung function factor, eformoterol=fluticasone for patient-centred factor). Montelukast was ranked third for all three factors. A significant relationship between patient-based variables and lung function was found only for montelukast treatment. In asthma treatment, traditional end-points do not fully capture patient-centred benefits, and the relationship between end-points differs with medication class.

Acetates↗

Investigations into biochemical changes of genetic hypertensive rats using 1H nuclear magnetic resonance-based metabonomics.

Genetically hypertensive rats provide a simple and accessible model for studying essential hypertension, which is a polygenic, heterogenous and multifactorial disease. Their genetic and metabolic features are of great interest because they may provide insight into the pathophysiological processes underlying essential hypertension. We have investigated the genetic influence on metabolic balance and metabolite excretion patterns in stroke-prone spontaneously hypertensive rats (SHRSP) with established hypertension using 1H NMR-based metabonomics. Urinary metabolite profiles for SHRSP and their age-matched normotensive controls, Wistar Kyoto rats, were acquired using 1H NMR spectroscopy. Principal components analysis was applied to these complex NMR data to facilitate differentiation and determine metabolic differences between urine samples collected from the hypertensive and normotensive rats. Consequently, it was possible to distinguish urine samples between the two strains in the principal components scores plot. The loadings plot showed that taurine, creatine and some unidentified metabolites resonating at around delta 2.48, 3.10 and 3.58 predominantly contributed to the separation. In SHRSP, the urinary levels of taurine and creatine were found to be higher and the intensities of the unknown signals much lower than those in the Wistar Kyoto rats. Although the pathophysiological significance of these components remains to be elucidated, this study suggests that 1H NMR-based metabonomics is a promising approach to provide new information on metabolic changes related to the pathophysiological processes of the genetically hypertensive rats.

Animals↗

[Complex medico-genetic study of the populations of western Siberia. IV. A multivariate statistical analysis of the interrelation of quantitative and polymorphic monogenic traits].

Multidimensional statistical analysis for a set of morpho- and physiological traits (anthropological, hemodynamic and biochemical) was done by the principal components method with interpretation of the latter. Special features of phenotype relationships were established for some traits of pathogenetic values for human chronic pathology. Heterogeneity of distributions of genotype frequencies for polymorphic traits and chromosome Q segments in histogramms of principal components was shown. The distributions are considered to be of nonrandom patterns and reflect common population genetics processes affecting both classes of traits under study.

Anthropometry↗

Cervical fluorescence of normal women.

BACKGROUND AND OBJECTIVE: Cervical tissue fluorescence spectra have previously been measured in vivo in women with a recent abnormal Papanicolaou smear. Diagnostic algorithms have been developed to diagnose squamous intraepithelial lesions (SILs) based on these fluorescence emission spectra. However, algorithms have not been tested in women with no history of cervical neoplasia. STUDY DESIGN/MATERIALS AND METHODS: Cervical fluorescence was measured from 54 women with no history of cervical dysplasia, and the spectra were compared to those from colposcopically normal sites in women with suspected dysplasia. Representative spectra from each group were compared and a two-sided, unpaired Student's t-test was performed to compare mean principal component scores used in previously published diagnostic algorithms. The ability of previously reported diagnostic algorithms to classify these samples as normal tissue was also assessed. RESULTS: At the 0.05 level of significance, the mean scores of 4 of the 7 important principal components were statistically different for the two populations. However, when the data collected from volunteers in this study were preprocessed in the appropriate manner and the algorithms were applied, more normal samples were correctly classified than in the previous clinical study in which these algorithms were developed. CONCLUSION: Previously reported algorithms can accurately classify tissue type based on spectra from women with and without a history of cervical neoplasia.

Adolescent↗

Cultural adaptation of a quality-of-life measure for urinary incontinence.

OBJECTIVES: To translate and validate a urinary incontinence-specific measure of quality of life (I-QOL) in French, Spanish, Swedish, and German and provide translations only into seven other languages and variants of these languages. METHODS: Quality of life and linguistic experts prepared two forward translations from American English to their native languages and helped to harmonize these translations at a meeting. In the four European countries, the adapted versions of the I-QOL were administered to 259 women with stress, urge, and mixed incontinence. Principal component analyses were used to confirm the proposed measurement model suggested by patient interviews. Psychometric testing was conducted using standardized procedures. RESULTS: Translation procedures resulted in a change in the original instrument's Likert response scale from 4 to 5 points. Principal component analyses confirmed three patient-derived subscales and higher-order factor analysis confirmed a total summary score. In all countries, the internal consistency (alpha) and reproducibility (ICC) were high (alpha ranged between 0.87 and 0.93); (ICC ranged between 0.92 and 0.95). In all countries, I-QOL scores were significantly worse (p < 0.001) as perceived severity of incontinence, use of services, and number of incontinent episodes increased. CONCLUSIONS: The I-QOL has been adapted successfully into eleven languages and six variants of these languages. The cross-sectional psychometric properties of the US version were confirmed in four European countries. The I-QOL fills the need for a valid, international quality-of-life instrument for incorporation in clinical trials covering patients with varying types and severity of urinary incontinence.

Adaptation, Psychological↗

Metabolite fingerprinting: detecting biological features by independent component analysis.

MOTIVATION: Metabolite fingerprinting is a technology for providing information from spectra of total compositions of metabolites. Here, spectra acquisitions by microchip-based nanoflow-direct-infusion QTOF mass spectrometry, a simple and high throughput technique, is tested for its informative power. As a simple test case we are using Arabidopsis thaliana crosses. The question is how metabolite fingerprinting reflects the biological background. In many applications the classical principal component analysis (PCA) is used for detecting relevant information. Here a modern alternative is introduced-the independent component analysis (ICA). Due to its independence condition, ICA is more suitable for our questions than PCA. However, ICA has not been developed for a small number of high-dimensional samples, therefore a strategy is needed to overcome this limitation. RESULTS: To apply ICA successfully it is essential first to reduce the high dimension of the dataset, by using PCA. The number of principal components determines the quality of ICA significantly, therefore we propose a criterion for estimating the optimal dimension automatically. The kurtosis measure is used to order the extracted components to our interest. Applied to our A. thaliana data, ICA detects three relevant factors, two biological and one technical, and clearly outperforms the PCA.

Algorithms↗

One factor underlies individual differences in auditory informational masking within and across age groups.

Masked threshold for a pure-tone signal can be substantially elevated whenever the listener is uncertain about the spectral or temporal properties of the masker, an effect referred to as auditory informational masking. Individual differences in the effect are large, with young children being most susceptible. When masker uncertainty is introduced by randomizing the frequencies of a multitone masker on each presentation, the function relating a child's pure-tone signal threshold to the number of masker components is found to be substantially elevated above that of most adults. The age effect and the individual differences among adults are not well understood, though a difference in the shapes of the masking functions suggests that different detection strategies may be involved. The present study reports results from a principal components analysis of informational masking functions obtained from 38 normal-hearing children ranging in age from 4 to 16 years and 46 normal-hearing adults ranging in age from 19 to 38 years. The premise underlying the analysis is that if different detection strategies are involved, they should add independent sources of variance to the masking functions. Hence, more than one principal component (PC) should be required to account for a substantial proportion of the variance in these functions. The results, instead, supported the operation of a single underlying strategy with all but 17% of the variance accounted for by the first PC within and across age groups. An analysis of variance on the first two PCs showed that only the first changed with age, and a cluster analysis of the masking functions showed complete separation of clusters along this PC for all but 1 listener. The results are taken to suggest that large individual differences informational masking at all ages reflect differences in the extent to which masker uncertainty adds variance to the decision variable of an otherwise optimal decision strategy.

Adolescent↗

Mapping of open-field behavior in rats and integration of various independent study results.

Open field behavior of four treatment groups was plotted on a map by factor scores which were derived from principal component analysis. The treatment consisted of electric shock, extensive stroking, testing under a very dim-light condition, or testing after habituation to the field. Five measures were used: ambulation, penetration into the inner square, rearing, defecation, and urination. The first two principal components accounted for 93% of the total variance in the data. By using the four treatment groups for reference, the manner in which results of independent studies can be plotted on a map, and how the interpretation of results can be facilitated, were demonstrated with some examples. A table composed of scores of eta squared for the four groups was also presented for reference and to facilitate integration of the results of various independent studies.

Animals↗

Quantitative genetic study of radiographic hand bone size and geometry.

Despite the obvious epidemiological significance of bone size (BS) and geometry (BG) traits as risk factors for osteoporotic fracture, very little is still known concerning the extent of their genetic determination. In the present paper we report the results of quantitative genetic analysis of a number of BG and BS indices, as well as of BMD measurements, obtained on a large pedigree-based sample (296 nuclear families, 1208 individuals) of plain hand radiographs. The families studied were all ethnically Caucasians (Chuvasha) living in small villages along the Volga River (Russia). The sample consisted of 636 men and 572 women, aged 18-91 years. To assess hand bone size we used the outcome of principal component analysis conducted on 48 measurements of metacarpal bones and proximal phalanges (PC-BS). Two BG indices, average metacarpal cortical index and breaking bending resistance index (BBRI), also measured on metacarpal and proximal phalanges were used. Again the outcome of the principal component PC-BBRI was examined in the genetic analysis. PC-BS measurements strongly correlated with body length (r = 0.75, P < 0.001) and weight (r = 0.39, P < 0.001), suggesting that they indeed reflected hand skeleton size. Familial correlations for all studied traits, adjusted for covariates (sex, age, etc.), were all highly significant statistically. For example, parent/offspring correlations ranged between 0.248 (P < 0.001) for phalangeal BMD and 0.385 (P < 0.001) for PC-BBRI. Maximum likelihood estimates of the variance component analysis confirmed these results, indicating that approximately 58 to 66% of the residual variance of the studied traits was attributable to genetic effects. Bivariate analysis clearly revealed that while genetic variation of the phalangeal BMD was independent of the genetic effects influencing hand BS and BG, the latter two were strongly interrelated. A substantial proportion of PC-BS and PC-BBRI variation was due to shared genetic (r(G) = 0.468 +/- 0.063) and environmental (r(E) = 0.704 +/- 0.052) factors.

Adolescent↗

On heteroaromaticity of nucleobases. Bond lengths as multidimensional phenomena.

Three hundred and nine carbon-carbon, carbon-nitrogen, and carbon-oxygen pi-bond lengths in high precision crystal structures of 31 purine and pyrimidine nucleobases were related to the Pauling pi-bond order, its analogues corrected to crystal packing effects, the numbers of non-hydrogen atoms around the bond, and the sum of atomic numbers of the bond atoms. Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) demonstrated that the bond lengths in the nucleobases are three-dimensional phenomenon, characterized by nine distinct classes of bonds. Bond lengths predicted by Linear Regression models, Pauling Harmonic Potential Curves, Multiple Linear Regression, Principal Component, and Partial Least Squares Regression were compared to those calculated by molecular mechanics, semiempirical, and ab initio methods using PCA-HCA procedure on the calculated bond lengths, statistical parameters, and structural aromaticity indices. Incorporation of crystal packing effects into bond orders makes multivariate models to be competitive to semiempirical results, while further improvement of quantum chemical calculations can be achieved by geometry optimization of molecular clusters.

Databases, Factual↗

The relationship between depressive and vital exhaustion symptomatology post-myocardial infarction.

OBJECTIVE: Many peri-myocardial infarction patients experience decreased wellbeing, which is either conceptualized as depression or as vital exhaustion. The objective of the present study is to investigate whether or not depression and vital exhaustion are separate entities. It was hypothesized that, if depression and vital exhaustion are separate phenomena, the correlation between two depression questionnaires would be higher than those between either of the two depression questionnaires and a vital exhaustion questionnaire. METHOD: Subjects were 143 patients who had recently experienced a first acute myocardial infarction (MI). At 1, 3, 6 and 12 months post-MI, patients completed two self-report depression questionnaires (the Zung-SDS and the Depression scale of the SCL-90), and a vital exhaustion questionnaire (the Maastricht Questionnaire). Correlation coefficients were calculated for the two depression questionnaires and the vital exhaustion questionnaire. Furthermore, an exploratory principal component analysis was performed on the combined items of the three questionnaires. RESULTS: Strong and virtually identical correlations were found between the three measures at all four time-points. A one-factor model was the best fit in the exploratory principal component analysis. CONCLUSION: The present results do not support the hypothesized separate conceptual identity of depression and vital exhaustion.

Adult↗