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101.

Background

Individuals with mental disorders have increased rates of obesity and metabolic syndrome. Here we evaluated factors influencing obesity in individuals with mental disorders who were attending psychiatric day-care facilities on an outpatient basis.

Methods

The subjects (n = 108) were outpatients attending hospital-based rehabilitation programs. We assessed body fat, weight, height, waist circumference, body mass index (BMI), blood pressure, Geriatric Depression Scale-15 (GDS) scores, frequency of day-care visits, satisfaction with body shape, physical comorbidity and lifestyle habits. Lifestyle habits were evaluated using Breslow''s health index based on health-related choices.

Results

The subjects were divided into 2 groups: obese group (BMI ≥ 25 kg/m2) and non-obese group (BMI < 25 kg/m2). The physical parameters and attributes of both groups were compared, and factors related to BMI were statistically analyzed. The prevalence of obesity was 47.2% in all patients, 42.4% in males and 54.8% in females. Weight, waist circumference, body fat and systolic and diastolic blood pressure were significantly higher in the obese group than in the non-obese group. Body fat, waist circumference, systolic blood pressure and diastolic blood pressure exhibited significant positive correlations with BMI, whereas the frequency of day-care visits, satisfaction with body shape, GDS score and Breslow''s health index exhibited significant negative correlations with BMI.

Conclusion

The present results showed that the prevalence of obesity was high in outpatients with mental disorders. Improvement in lifestyle choices is necessary to prevent obesity and the onset of metabolic syndrome in such patients.  相似文献   
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Background and PurposeMental illness is disproportionately common in people with epilepsy (PWE). This systematic literature review identified original research articles that reported the prevalence of psychiatric comorbidities based upon clinical assessments in a sample of PWE and assessed the clinical features of the populations found in studies included in our review of mental health comorbidity.MethodsThe included articles were written in English and published from 2008 to 2018, and focused on adults aged ≥18 years who had psychiatric diagnoses determined in clinical assessments, such as those found in medical records, clinician psychiatric evaluations, structured diagnostic interviews, and mental health screening questionnaires specific for a psychiatric disorder. The primary outcome was the prevalence of psychiatric comorbidities as a percentage of the total sample of PWE. Additional data included the overall sample size, mean age, epilepsy type, study design, and method of diagnosis. A modified Newcastle Ottawa Scale was used to assess the quality of the studies. All 23 articles that were consistent with the inclusion criteria were related to observational studies.ResultsMood disorders and anxiety disorders were the most common psychiatric comorbidities, with prevalence rates of 35.0% and 25.6%, respectively. Major depressive disorder was the most common mood disorder, with a prevalence of 24.2%. Post-traumatic stress disorder (PTSD) had the highest reported prevalence among anxiety disorders, at 14.2%, followed by general anxiety disorder at 11.1%. Other comorbidities included psychosis (5.7%), obsessivecompulsive disorder (3.8%), schizophrenia (1.7%), bipolar disorder (6.2%), and substance abuse (7.9%). The pooled prevalence of suicidality, as reported for two studies, was 9.3%. Temporal lobe epilepsy (TLE) was associated with higher levels of psychiatric comorbidity. Two (8.7%) of the 23 studies compared psychiatric comorbidities in TLE with that of extratemporal lobe epilepsy (ETLE), and one of these two studies found that depression was more common in TLE (53.8%) than in ETLE (25%). Regarding seizure types, partial seizures were associated with a higher prevalence of depression vs generalized seizures.ConclusionsThis systematic literature review of recent original research found a relatively high prevalence of mental health comorbidities in PWE. Mood and anxiety disorders are the most common comorbidities, while psychotic spectrum conditions such as schizophrenia and bipolar disorder are much rarer. The prevalence of comorbidity may vary with the epilepsy type and treatment responsiveness. These findings suggest that screening tools for depression and anxiety should be included as part of the training for epilepsy care, while resources for other relatively common conditions such as PTSD and substance abuse disorders should be readily available to neurology specialists who treat PWE.  相似文献   
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目的:探讨司法精神医学鉴定案例的临床特征。方法对130例司法精神病鉴定资料进行回顾性分析。结果本组鉴定诊断排前3位的依次为精神分裂症(19.2%)、精神发育迟滞(15.4%)、颅脑外伤所致精神障碍(13.9%);进行刑事责任能力评定者占70.8%,其中评定为完全责任能力占32.6%,限制责任能力占29.4%,无责任能力占38.0%。结论司法精神病鉴定案例中以刑事责任能力评定案例居多,鉴定诊断以精神分裂症为首位。  相似文献   
109.
Summary Objective Little is known about associations between psychiatric comorbidity and hospital mortality for acute medical conditions. This study examined if associations varied according to the method of identifying psychiatric comorbidity and agreement between the different methods. Patients/Participants The sample included 31,218 consecutive admissions to 168 Veterans Affairs facilities in 2004 with a principle diagnosis of congestive heart failure (CHF) or pneumonia. Psychiatric comorbidity was identified by: (1) secondary diagnosis codes from index admission, (2) prior outpatient diagnosis codes, (3) and prior mental health clinic visits. Generalized estimating equations (GEE) adjusted in-hospital mortality for demographics, comorbidity, and severity of illness, as measured by laboratory data. Measurements and Main Results Rates of psychiatric comorbidities were 9.0% using inpatient diagnosis codes, 27.4% using outpatient diagnosis codes, and 31.0% using mental health visits for CHF and 14.5%, 33.1%, and 34.1%, respectively, for pneumonia. Agreement was highest for outpatient codes and mental health visits (κ = 0.51 for pneumonia and 0.50 for CHF). In GEE analyses, the adjusted odds of death for patients with psychiatric comorbidity were lower when such comorbidity was identified by mental health visits for both pneumonia (odds ratio [OR] = 0.85; P = .009) and CHF (OR = 0.70; P < .001) and by inpatient diagnosis for pneumonia (OR = 0.63; P ≤ .001) but not for CHF (OR = 0.75; P = .128). The odds of death were similar (P > .2) for psychiatric comorbidity as identified by outpatient codes for pneumonia (OR = 1.04) and CHF (OR = 0.93). Conclusions The method used to identify psychiatric comorbidities in acute medical populations has a strong influence on the rates of identification and the associations between psychiatric illnesses with hospital mortality.  相似文献   
110.
目的了解精神科护士职业价值观及社会支持状况。方法 2014年10月,采用护士职业价值观量表(nursing professional values scale-revised,NPVS-R)及社会支持评定量表(social spuport rate scale,SSRS)对广西某精神病专科医院的78名专科护士进行调查。结果 78名精神科护士获得的社会支持偏低,SSRS得分为(36.95±6.30)分;职业价值观为中等水平,得分为(3.30±0.62)分;其社会支持与职业价值观水平呈正相关(P0.05)。结论护理管理者应通过提升精神科护士的社会支持以促进专科护士职业价值水平的提高。  相似文献   
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