scholarly journals A cross-sectional study on metabolic similarities and differences between inpatients with schizophrenia and those with mood disorders

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Yoriyasu Uju ◽  
Tetsuto Kanzaki ◽  
Yuki Yamasaki ◽  
Tadayuki Kondo ◽  
Hideki Nanasawa ◽  
...  
Keyword(s):  
Cerebral Infarction ◽  
Mood Disorders ◽  
Fasting Blood Glucose ◽  
Brain Magnetic Resonance Imaging ◽  
Cross Sectional Study ◽  
Analysis Of Covariance ◽  
Sectional Study ◽  
Cross Sectional ◽  
Schizophrenia Group ◽  
Lifestyle Related Diseases

Abstract Background One of the main causes of death in psychiatric patients is cardiovascular diseases which are closely related with lifestyle-related diseases. Psychiatric disorders include schizophrenia and mood disorders, whose symptoms and treatment medicines are different, suggesting that they might have different metabolic disorders. Thus, we studied the differences of lifestyle-related diseases between schizophrenia and mood disorders in Japan. Methods This cross-sectional study was performed from 2015 to 2017. Study participants were 189 Japanese hospitalized patients (144 schizophrenia group, 45 mood disorders group) in the department of psychiatry at Kohnodai hospital. We examined physical disorders, metabolic status of glucose and lipid, estimated glomerular filtration rate (eGFR) and brain magnetic resonance imaging. We compared these data between schizophrenia and mood disorders groups using analysis of covariance or logistic regression analysis. In comparisons between inpatients with schizophrenia or mood disorders group and the standard, we quoted ‘The National Health and Nutrition Survey in Japan 2015’ by Ministry of Health, Labor and Welfare as the standard. Results eGFR and prevalence of smoking were significantly lower in patients with mood disorder group than those with schizophrenia group by adjustment for age. In comparisons between patients with schizophrenia group or mood disorders group and each standard, the ratio of silent brain infarction (SBI) and cerebral infarction were significantly high in both groups. Schizophrenia group showed significantly higher prevalence of diabetes, low high-density lipoprotein (HDL) cholesterolemia, metabolic syndrome and smoking than the standard. Mood disorders group had significantly high prevalence of low HDL-cholesterolemia compared with the standard. Fasting blood glucose and HbA1c were significantly higher in schizophrenia group and female mood disorders group than the standard. Female mood disorders group had significantly decreased eGFR with increased ratio of eGFR < 60 ml/min than the standard. Conclusions Participants of both groups had increased ratio of SBI and cerebral infarction, accompanied with glucose and lipid disorders. Compared with schizophrenia group, mood disorders group showed significantly low eGFR and prevalence of smoking.

scholarly journals A cross-sectional study on metabolic similarities and differences between inpatients with schizophrenia and those with mood disorders

2020 ◽  
Author(s):  
Yoriyasu Uju ◽  
Tetsuto Kanzaki ◽  
Yuki Yamasaki ◽  
Tadayuki Kondo ◽  
Hideki Nanasawa ◽  
...  
Keyword(s):  
Cerebral Infarction ◽  
Mood Disorders ◽  
Fasting Blood Glucose ◽  
Brain Magnetic Resonance Imaging ◽  
Cross Sectional Study ◽  
Analysis Of Covariance ◽  
Sectional Study ◽  
Cross Sectional ◽  
Schizophrenia Group ◽  
Lifestyle Related Diseases

Abstract Background One of the main causes of death in psychiatric patients is cardiovascular diseases which are closely related with lifestyle-related diseases. Psychiatric disorders include schizophrenia and mood disorders, whose symptoms and treatment medicines are different, suggesting that they might have different metabolic disorders. Thus, we studied the differences of lifestyle-related diseases between schizophrenia and mood disorders in Japan. Methods This cross-sectional study was performed from 2015 to 2017. Study participants were 189 hospitalized patients (144 schizophrenia group, 45 mood disorders group) in the department of psychiatry at Kohnodai hospital. We examined physical disorders, metabolic status of glucose and lipid, estimated glomerular filtration rate (eGFR) and brain magnetic resonance imaging. We compared these data between inpatients with schizophrenia or mood disorders group and the standard. We quoted ‘The National Health and Nutrition Survey in Japan 2015’ by Ministry of Health, Labor and Welfare as the standard. In comparisons between schizophrenia and mood disorders groups, we used analysis of covariance or logistic regression analysis. Results The ratio of silent brain infarction (SBI) and cerebral infarction were significantly high in both groups compared with the standard. Schizophrenia group showed significantly higher prevalence of diabetes, low high-density lipoprotein (HDL) cholesterolemia, metabolic syndrome and smoking than the standard. Mood disorders group had significantly high prevalence of low HDL-cholesterolemia compared with the standard. Fasting blood glucose and HbA1c were significantly higher in schizophrenia group and female mood disorders group than the standard. Female mood disorders group had significantly decreased eGFR with increased ratio of eGFR < 60 ml/min than the standard. In comparison between both groups, eGFR and prevalence of smoking in mood disorders group were significantly lower than those in schizophrenia group by adjustment for age. Conclusions Participants of both groups had increased ratio of SBI and cerebral infarction, accompanied with glucose and lipid disorders. Distinct from schizophrenia group, mood disorders group showed significantly lower eGFR and prevalence of smoking.

scholarly journals Excessive daytime sleepiness with snoring or witnessed apnea is associated with handgrip strength: a population-based study

QJM ◽  
2019 ◽  
Vol 112 (11) ◽  
pp. 847-853
Author(s):  
X Cao ◽  
Y Gu ◽  
J Fu ◽  
T Q C Vu ◽  
Q Zhang ◽  
...  
Keyword(s):  
Body Weight ◽  
Muscle Strength ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Handgrip Strength ◽  
Cross Sectional Study ◽  
Analysis Of Covariance ◽  
Poor Sleep ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background Sarcopenia is emerging as an important public health problem, and evidences have determined that poor sleep is associated with muscle strength, but the potential effects of excessive daytime sleepiness (EDS), snoring and witnessed apnea on handgrip strength have not been evaluated. Aim We aimed to examine the association between EDS, snoring, witnessed apnea and muscle strength in an adult population. Design Cross-sectional study. Methods This cross-sectional study comprised 19 434 adults. Handgrip strength was measured using a handheld digital dynamometer. EDS was assessed by Epworth Sleepiness Scale, snoring and witnessed apnea during sleep were reported through simple yes/no questions. Analysis of covariance was carried out to determine the association between EDS with snoring or witnessed apnea and muscle strength. Results The means (95% confidence interval) for average handgrip strength/body weight (kg/kg) across symptoms categories were 0.396 (0.333–0.472), 0.393 (0.330–0.467), 0.396 (0.333–0.471) and 0.386 (0.325–0.460) (P < 0.0001), respectively. Similar results were observed with maximal handgrip strength/body weight (kg/kg). Conclusions Self-reported EDS accompanied with snoring or apnea is associated with lowest handgrip strength, independently of confounding factors. Whether improvement of EDS, snoring and apnea, can ameliorate age-associated decline in muscle strength warrants further studies.

Groundwater Arsenic and Fasting Blood Glucose in the Context of Other Groundwater Chemicals: A Cross-Sectional Study in Bangladesh

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Shadassa Ourshalimian ◽  
Abu Mohd Naser Titu ◽  
Tom Clasen ◽  
Mahbubur Rahman ◽  
Kazi Matin Ahmed ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Fasting Blood Glucose ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Groundwater Arsenic

Comparison of the effects of PMDD and pre-menstrual syndrome on mood disorders and quality of life: A cross-sectional study

2014 ◽  
Vol 35 (6) ◽  
pp. 616-620 ◽  
Author(s):  
Gülşah Balık ◽  
Çiçek Hocaoğlu ◽  
Mehmet Kağıtcı ◽  
Emine Seda Güvenda Güven
Keyword(s):  
Quality Of Life ◽  
Mood Disorders ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Prevalence and Correlates of Fatigue and Its Association with Quality of Life Among Clinically Stable Older Psychiatric Patients During the COVID-19 Outbreak: A Cross-Sectional Study

2020 ◽  
Author(s):  
Siyun Zou ◽  
Zi-Han Liu ◽  
Xiaona Yan ◽  
Huan Wang ◽  
Yulong Li ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Psychiatric Disorders ◽  
Older Patients ◽  
Psychiatric Patients ◽  
Cross Sectional Study ◽  
Analysis Of Covariance ◽  
Sectional Study ◽  
Cross Sectional ◽  
Insomnia Symptoms

Abstract Background: The pattern of fatigue in older psychiatric patients during the COVID-19 outbreak was unknown. This study examined the prevalence of fatigue and its association with quality of life (QOL) in clinically stable older patients with psychiatric disorders during the COVID-19 outbreak. Methods: This is a multicenter, cross-sectional study. Fatigue, depression, pain, insomnia symptoms, and QOL were assessed with standardized instruments. Results: A total of 1,063 patients were recruited. The prevalence of fatigue was 47.1% (95%CI: 44.1% - 50.1%). Analysis of covariance revealed that QOL was significantly lower in patients with fatigue compared to those without (P=0.011). Multiple logistic regression analysis revealed that more severe depression (OR=1.15, P<0.001), insomnia symptoms (OR=1.08, P<0.001) and pain (OR=1.43, P<0.001) were significantly associated with fatigue.Conclusions: Fatigue was common among clinically stable older patients with psychiatric disorders during the COVID-19 outbreak. Considering its negative impact on QOL, regular assessment of fatigue and appropriate treatment warrant attention in this subpopulation.

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