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1.
Actas Esp Psiquiatr ; 48(3): 116-25, 2020 05.
Article in English | MEDLINE | ID: mdl-32905604

ABSTRACT

BACKGROUND: Studies suggest that people with a diagnosis of schizophrenia are one of the most stigmatized groups in society. AIM: To comprehensively analyze personal stigma in patients diagnosed with schizophrenia. METHOD: Data were obtained from 89 patients. Patients were evaluated with the following scales: a sociodemographic and clinical questionnaire, the Discrimination and Stigma Scale, the Self-perception of Stigma Questionnaire for People with Schizophrenia, the Positive and Negative Syndrome Scale, the Calgary Depression Scale for Schizophrenia, the Global Assessment of Functioning Scale, and the Brief Social Functioning Scale. RESULTS: Relations between personal stigma and sociodemographic and psychosocial variables were poor. However, clinical variables correlated with different facets of personal stigma. Personal stigma subscales´ correlations were between experienced stigma, anticipated stigma, and self-stigma to each other. 29.5% of the experienced stigma subscale variance was explained by age of onset and level of depression. 20.1% of the anticipated stigma subscale variance was explained by level of depression and gender. 27.3% of the overcoming stigma subscale variance was explained by level of depression and positive and negative psychotic symptoms. 35.8% of the self-stigma scale variance was explained by the level of depression. CONCLUSIONS: Addressing stigma within treatment seems of crucial importance since all stigma facets seem to be highly related to clinical dimensions, especially depression Therefore, including strategies to reduce stigma in care programs may help patients with schizophrenia to better adjust in life and improve their illness process.


Subject(s)
Quality of Life/psychology , Schizophrenic Psychology , Self Concept , Social Stigma , Adult , Female , Humans , Linear Models , Male , Middle Aged , Schizophrenia/diagnosis , Social Class , Socioeconomic Factors , Surveys and Questionnaires
2.
J Psychiatr Res ; 129: 234-240, 2020 10.
Article in English | MEDLINE | ID: mdl-32814264

ABSTRACT

BACKGROUND: Clinical staging model for depression helps to better define the clinical situation of patients. The objectives of this study are: to correlate the Hetrick's staging model of depression with the severity of depression, associated disability, and resistance to treatment in the established disease stages and to test the modification introduced by our group consisting in the introduction of a substage for recurrence from a previous episode that was stabilized with a complete remission. METHODS: A Cross-sectional study with 133 adult subjects having a current and primary diagnosis of Depressive disorder was developed. Patients were classified according to the model and assessed with: 17-item Hamilton Depression Scale (HAM-D), Clinical Global Impression (CGI); Global Assessment of Function (GAF); Maudsley Staging Method for treatment resistance (MSM) and Sheeham Disability Schedule (SDS). RESULTS: The variable that best contributes to the differentiation between clinical stages, in established Depression, is resistance to treatment evaluated by the MSM. Correlations between MSM and the clinical stages were statistically significant between most pairs of stages. Finally, we showed preliminary data in order to prove that a differential sub-stage for recurrent depression with and without inter-episodic remission in the current heuristic models could be a possible stage for better define depression staging model. CONCLUSIONS: Resistance to treatment should be included in the definition of clinical stages in established depression. Despite the difficulty of establishing a valid model for the staging of depression, it can certainly add great value to diagnosis, therapeutic interventions and clinical research.


Subject(s)
Depressive Disorder, Major , Sexual and Gender Minorities , Adult , Cross-Sectional Studies , Homosexuality, Male , Humans , Male , Psychiatric Status Rating Scales , Remission Induction , Treatment Outcome
3.
Actas esp. psiquiatr ; 48(3): 116-125, mayo-jun. 2020. tab
Article in Spanish | IBECS | ID: ibc-193797

ABSTRACT

ANTECEDENTES: Estudios previos sugieren que las personas con esquizofrenia son uno de los grupos más estigmatizados de la sociedad. OBJETIVO: analizar ampliamente el estigma personal en pacientes con esquizofrenia. MÉTODO: Se obtuvieron datos de 89 pacientes. Éstos fueron evaluados con los siguientes instrumentos: características sociodemográficas y clínicas, Escala de Discriminación y Estigma, Cuestionario de Autopercepción del Estigma, Escala de Síndromes positivos y negativos, Escala de depresión de Calgary, Escala de Evaluación de la Actividad Global y Escala Breve de Funcionamiento Social. RESULTADOS: las relaciones entre el estigma personal y las variables sociodemográficas y psicosociales resultaron escasamente significativas. Sin embargo, las variables clínicas correlacionaron significativamente con diferentes facetas del estigma personal. Las correlaciones de las subescalas de estigma personal fueron entre estigma experimentado, estigma anticipado y autoestigma entre sí. El 29,5% de la variación de la subescala "trato injusto" se explicó por la edad de inicio y el nivel de depresión. El 20,1% de la variación de la subescala "autolimitación" se explicó por el nivel de depresión y el género. El 27,3% de la subescala "superación del estigma" se explica por el nivel de depresión y los síntomas psicóticos positivos y negativos. El 35,8% de la variación de la escala de autoestigma se explicó por el nivel de depresión. CONCLUSIONES: Abordar el estigma dentro del tratamiento parece de crucial importancia ya que todas las facetas del estigma están altamente relacionadas con las dimensiones clínicas, especialmente la depresión. Por lo tanto, incluir estrategias para reducir el estigma en los programas de atención puede ayudar a los pacientes con esquizofrenia a una mejor adaptación funcional y proceso evolutivo


BACKGROUND: Studies suggest that people with a diagnosis of schizophrenia are one of the most stigmatized groups in society. AIM: To comprehensively analyze personal stigma in patients diagnosed with schizophrenia. METHOD: Data were obtained from 89 patients. Patients were evaluated with the following scales: a sociodemographic and clinical questionnaire, the Discrimination and Stigma Scale, the Self-perception of Stigma Questionnaire for People with Schizophrenia, the Positive and Negative Syndrome Scale, the Calgary Depression Scale for Schizophrenia, the Global Assessment of Functioning Scale, and the Brief Social Functioning Scale. RESULTS: Relations between personal stigma and socio-demographic and psychosocial variables were poor. However, clinical variables correlated with different facets of personal stigma. Personal stigma subscales ́ correlations were between experienced stigma, anticipated stigma, and self-stigma to each other. 29.5% of the experienced stigma subscale variance was explained by age of onset and level of depression. 20.1% of the anticipated stigma subscale variance was explained by level of depression and gender. 27.3% of the overcoming stigma subscale variance was explained by level of depression and positive and negative psychotic symptoms. 35.8% of the self-stigma scale variance was explained by the level of depression


Subject(s)
Humans , Male , Female , Adolescent , Young Adult , Adult , Middle Aged , Aged , Aged, 80 and over , Schizophrenic Psychology , Social Stigma , Psychosocial Impact , Socioeconomic Factors , Surveys and Questionnaires
4.
Front Neurosci ; 13: 1309, 2019.
Article in English | MEDLINE | ID: mdl-31866817

ABSTRACT

Drugs with anticholinergic action are widely prescribed in the elderly population due to their potential clinical benefits. However, these benefits are limited by adverse effects which may be serious in particular circumstances. This review presents different aspects of the use of anticholinergics in old age with a focus in psychogeriatric patients. We critically review published data on benefits and disadvantages of anticholinergics, which are often controversial. Prevalence, pathophysiology and measurement methods of the anticholinergic action of drugs are discussed. We also present the most important drawbacks resulting from its use, including effects on cognition in healthy and cognitively impaired people, in aged schizophrenia patients, emergence of delirium and psychiatric symptoms, influence in functionality, hospitalization, institutionalization and mortality, and the potential benefits and limitations of their discontinuation. Finally, we suggest practical recommendations for the safe use of anticholinergics in clinical conditions affecting elderly patients, such as dementia, schizophrenia and acute hallucinatory episodes, depression, anxiety, Parkinson's disease, cardiovascular conditions and urinary incontinence.

6.
Early Interv Psychiatry ; 13(3): 525-531, 2019 06.
Article in English | MEDLINE | ID: mdl-29278295

ABSTRACT

AIM: There is lack of research on the study of clinical personality traits in recent onset of psychosis (ROP) patients. The aims of this research were to study the relations among psychosocial, personality and clinical characteristics in ROP patients and also the effect that significant variables had on the different domains of Quality of Life (QoL). METHODS: Data for these analyses were obtained from 81 ROP patients. The Millon Clinical Multiaxial Inventory, the Positive and Negative Syndrome Scale and the World Health Organization Quality of Life Brief Scale were used to assess personality, symptoms and QoL. RESULTS: Correlations between the negative symptoms and the physical, psychological and social domains of QoL, and the disorganized symptoms and physical domain, were found. Furthermore, the physical, psychological and social relationship domains of QoL were lower in patients with schizoid traits and the psychological domain was lower in patients with depressive traits. In contrast, the psychological and social domains were higher in patients with histrionic traits, while the physical domain was higher for patients with narcissistic traits. Multiple linear regressions demonstrated that negative symptoms and narcissistic and depressive traits explained 16.9% of the physical domain. Narcissistic and depressive traits explained 15% of the psychological domain. Finally, the negative symptoms and histrionic traits explained 13.7% of the social domain. CONCLUSIONS: QoL seems to be better explained by negative psychotic symptoms and some clinical personality traits. Our results support the importance of integrated intervention approaches that consider personality.


Subject(s)
Character , Psychotic Disorders/psychology , Quality of Life/psychology , Adult , Depressive Disorder/diagnosis , Depressive Disorder/psychology , Depressive Disorder/rehabilitation , Female , Humans , Male , Personality Assessment , Psychiatric Status Rating Scales/statistics & numerical data , Psychometrics , Psychotic Disorders/diagnosis , Psychotic Disorders/rehabilitation , Schizoid Personality Disorder/diagnosis , Schizoid Personality Disorder/psychology , Schizoid Personality Disorder/rehabilitation , Schizophrenia/diagnosis , Schizophrenic Psychology , Social Adjustment , Socioeconomic Factors , Young Adult
7.
J Autism Dev Disord ; 49(3): 1048-1061, 2019 Mar.
Article in English | MEDLINE | ID: mdl-30406435

ABSTRACT

We conducted a meta-analysis of 18 studies to establish whether a relation exists between Reading the Mind in the Eye Test (RMET) performance and intelligence quotient (IQ) in individuals diagnosed with autism-spectrum disorders (ASD) and controls, taking into account relevant characteristics such as age, gender, and autism quotient. Our findings indicate that RMET performance was better in controls compared with those diagnosed with ASD. We found that RMET performance is dependent on full and verbal IQ and age in controls. However, RMET performance is negatively correlated with performance IQ in individuals diagnosed with ASD. These results suggest that the methodology applied by ASD when taking the RMET is different from control individuals and might depend less on verbal abilities.


Subject(s)
Autism Spectrum Disorder/psychology , Fixation, Ocular , Intelligence Tests/standards , Photic Stimulation/methods , Thinking , Autism Spectrum Disorder/diagnosis , Female , Fixation, Ocular/physiology , Humans , Male , Reading , Thinking/physiology
8.
JMIR Ment Health ; 5(3): e10278, 2018 Sep 25.
Article in English | MEDLINE | ID: mdl-30274963

ABSTRACT

BACKGROUND: Web-based mindfulness interventions are increasingly delivered through the internet to treat mental health conditions. OBJECTIVE: The objective of this study was to determine the effectiveness of web-based mindfulness interventions in clinical mental health populations. Secondary aims were to explore the impact of study variables on the effectiveness of web-based mindfulness interventions. METHODS: We performed a systematic review and meta-analysis of studies investigating the effects of web-based mindfulness interventions on clinical populations. RESULTS: The search strategy yielded 12 eligible studies. Web-based mindfulness interventions were effective in reducing depression in the total clinical sample (n=656 g=-0.609, P=.004) and in the anxiety disorder subgroup (n=313, g=-0.651, P<.001), but not in the depression disorder subgroup (n=251, P=.18). Similarly, web-based mindfulness interventions significantly reduced anxiety in the total clinical sample (n=756, g=-0.433, P=.004) and the anxiety disorder subgroup (n=413, g=-0.719, P<.001), but not in the depression disorder group (n=251, g=-0.213, P=.28). Finally, web-based mindfulness interventions improved quality of life and functioning in the total sample (n=591, g=0.362, P=.02) in the anxiety disorder subgroup (n=370, g=0.550, P=.02) and mindfulness skills in the total clinical sample (n=251, g=0.724, P<.001). CONCLUSIONS: Results support the effectiveness of web-based mindfulness interventions in reducing depression and anxiety and in enhancing quality of life and mindfulness skills, particularly in those with clinical anxiety. Results should be interpreted with caution given the high heterogeneity of web-based mindfulness interventions and the low number of studies included.

9.
Psychiatry Res ; 261: 498-503, 2018 03.
Article in English | MEDLINE | ID: mdl-29395871

ABSTRACT

It is still unclear to what extent personality may influence the development of psychosis. We aimed to explore significant personality traits in individuals at high-risk (HR) for psychosis. Personalities of forty HR individuals and a matched sample of 40 healthy volunteers (HVs) were evaluated with the Millon Multiaxial Inventory (MCMI-III). They were also assessed with the Positive and Negative Symptoms Scale (PANSS), Beck Depression and Anxiety Inventories (BDI-II and BAI), Global Assessment of Functioning (GAF) and Mini-International Neuropsychiatric Interview (MINI 6.0.0). Fisher's exact test was employed to compare frequency of traits. Mann-Whitney U test and logistic regression were used to establish relationships between traits and symptoms, and the effect of age, sex and symptoms on such traits. Most HR individuals (97.5%) had at least one significant trait; 75% had personality disorders, mainly depressive, borderline or schizotypal. Only histrionic and narcissistic traits were more prevalent in HVs. Negative symptoms were related to schizoid and paranoid traits. Depression was more severe with borderline traits. Most HR individuals (67.6%) had more than one DSM-IV Axis I diagnosis, mainly depressive/anxiety disorders. Transition rate was low (5%). Certain personality profiles may not be markers for conversions to psychosis but contribute to high morbidity in HR individuals.


Subject(s)
Personality Disorders/psychology , Personality , Psychotic Disorders/psychology , Adolescent , Adult , Case-Control Studies , Depression/psychology , Female , Humans , Male , Personality Inventory , Prevalence , Psychiatric Status Rating Scales , Risk Factors , Young Adult
10.
Schizophr Res ; 195: 86-92, 2018 05.
Article in English | MEDLINE | ID: mdl-28867518

ABSTRACT

Personality traits in recent onset of psychosis (ROP) patients are an under-researched area. Our aim was to examine clinical and clinically significant personality traits in ROP patients compared with a healthy control sample by gender. Data were obtained from 94 ROP patients and a control sample matched in gender and age. The Millon Clinical Multiaxial Inventory and a sociodemographic scale were used. T for independent samples, U-Mann-Whitney and Fisher tests were applied to make comparisons. All personality traits were significantly higher in ROP than control participants in the general sample, except histrionic, narcissistic, and compulsive traits which were higher in controls. Clinically significant schizoid, avoidant, dependent and antisocial personality traits were more common in the ROP than the control participants. However, histrionic clinically significant trait was more common in the control sample. In relation to the males and female samples, more significant differences were found in the male sample in comparison to their control counterparts than in the female sample. These results highlight the importance of the study of clinical personality traits in patients with ROP and the importance of viewing these differences in relation to gender because of the possible therapeutic implications.


Subject(s)
Personality Disorders/etiology , Psychotic Disorders/complications , Sex Characteristics , Adult , Female , Humans , Male , Personality Inventory , Psychiatric Status Rating Scales , Psychotic Disorders/psychology , Statistics, Nonparametric , Surveys and Questionnaires , Young Adult
11.
Compr Psychiatry ; 74: 109-117, 2017 04.
Article in English | MEDLINE | ID: mdl-28147290

ABSTRACT

OBJECTIVE: Personality in patients with psychosis, and particularly its relation to psychotic symptoms in recent onset of psychosis (ROP) patients, is understudied. The aims of this research were to study the relation between dimensional and categorical clinical personality traits and symptoms, as well as the effects that symptoms, sex and age have on clinically significant personality traits. METHODS: Data for these analyses were obtained from 94 ROP patients. The Millon Clinical Multiaxial Inventory and the Positive and Negative Syndrome Scale were used to assess personality and symptoms. Correlational Analysis, Mann-Whitney test, and, finally, logistic regression were carried out. RESULTS: The negative dimension was higher in patients with schizoid traits. The excited dimension was lower for those with avoidant and depressive traits. The anxiety and depression dimension was higher for patients with dependent traits. The positive dimension was lower for patients with histrionic and higher for patients with compulsive traits. Logistic regression demonstrated that gender and the positive and negative dimensions explained 35.9% of the variance of the schizoid trait. The excited dimension explained 9.1% of the variance of avoidant trait. The anxiety and depression dimension and age explained 31.3% of the dependent trait. Gender explained 11.6% of the histrionic trait, 14.5% of the narcissistic trait and 11.6% of the paranoid trait. Finally gender and positive dimension explained 16.1% of the compulsive trait. CONCLUSIONS: The study highlights the importance of studying personality in patients with psychosis as it broadens understating of the patients themselves and the symptoms suffered.


Subject(s)
Anxiety/psychology , Depression/psychology , Personality Disorders/psychology , Personality , Psychotic Disorders/psychology , Adult , Anxiety/diagnosis , Depression/diagnosis , Female , Humans , Male , Personality Disorders/diagnosis , Psychotic Disorders/diagnosis , Retrospective Studies , Young Adult
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