Prevalence and correlates of diabetes mellitus and dyslipidaemia in a long-stay inpatient schizophrenia population in Singapore

Sp, Lee; S, Ong; Wang, P; Seow, Esmond; Hl, Ong; Sa, Chong; Subramaniam, Mythily

doi:10.11622/smedj.2018020

Cited by 11 publications

(1 citation statement)

References 43 publications

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“…The prevalence of DM in our study sample [3.4%] is lower than similar studies done in Canada, 10%, n = 28,755] [ 47 ] and Singapore.19.1%. [ 48 ]. It is however comparable to the findings of the National Steps survey on NCD risk factors that was carried out in Kenya in 2015 among 4069 participants aged between 18 and 69 years, which reported a 2.4% prevalence of diabetes [ 49 ].…”

Section: Discussionmentioning

confidence: 99%

Prevalence and correlates of metabolic syndrome and its components in adults with psychotic disorders in Eldoret, Kenya

et al. 2021

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Background A high prevalence of metabolic syndrome and its components in patients with psychotic disorders may increase the risk for cardiovascular diseases. Unfortunately, relatively little work in this field has emerged from low-resourced contexts. This study investigated the prevalence, correlates, and treatment patterns of metabolic disorders in patients with psychotic disorders in Western Kenya. Methods 300 patients with psychosis and 300 controls were recruited at Moi Teaching and Referral Hospital in Eldoret, Kenya. Data on demographic characteristics, weight, height, abdominal circumference, blood pressure, blood glucose, lipid profile, and treatments were collected. Categorical and continuous data were compared between the patient and control groups using Pearson’s chi-squared tests and t-tests, respectively. Variables found to be significantly different between these groups were included in logistic regression models to determine potential predictors of metabolic syndrome. Results Compared to controls, patients with psychosis were found to have a higher mean random blood glucose [5.23 vs 4.79, p = 0.003], higher body mass index [5.23 vs 4.79, p = 0.001], higher triglycerides [1.98 vs 1.56, p<0.001], larger waist circumference [89.23 vs 86.39, p = 0.009] and lower high density lipoprotein [1.22 vs 1.32, p<0.001]. The odds of developing metabolic syndrome were increased with age [OR = 1.05, CI: 1.02–1.07] and presence of a psychotic disorder [OR = 2.09 [CI 1.23–3.55]; and were reduced with female gender [OR 0.41, CI 0.25–0.67], among those who were never married [OR 0.52, CI 0.28–0.94] and among the widowed/separated/ divorced marital status [OR 0.38, CI 0.17–0.81]. While the majority of patients received treatment with olanzapine, there was no association between olanzapine use and metabolic syndrome and its components. More than half of the patients in this study sample were not receiving treatment for the various components of metabolic syndrome. Conclusion In the study setting of Eldoret, metabolic syndrome and its components were more prevalent among patients with psychotic disorders than in controls; and a clear treatment gap for these disorders was evident. There is a need for efforts to ensure adequate screening and treatment for these physical disorders in resource-limited settings.

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Section: Discussionmentioning

confidence: 99%

Prevalence and correlates of metabolic syndrome and its components in adults with psychotic disorders in Eldoret, Kenya

et al. 2021

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Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia

Tsai

Chang

2023

Nursing Open

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Aim We explored the performance of demographic characteristics, physiological state, cognitive function, sensory function, and biomarkers when used as predictors of frailty for patients with schizophrenia. Design A cross‐sectional study design was adopted. Methods Demographic data and data on physiological state, cognitive function, sensory function, biochemical indices, and frailty status of patients with schizophrenia were collected. The data were analysed using descriptive statistics, a chi‐square test, one‐factor analysis of variance, and logistic regression. Results The results revealed that frailty was prevalent among patients with lower educational attainment, longer hospital stay, higher skeletal muscle mass, higher basal metabolic rate, lower cognitive function, the use of tranquillisers and sleeping pills, and the use of assistive equipment as well as having fallen in the past year. In addition, cognitive function (p < 0.05), use of a wheelchair (p < 0.05), and use of an assistive walker (p < 0.001) were used as predictors of frailty condition of patients with schizophrenia. Patient Contribution Patients with schizophrenia have higher risk of having complications than patients with other chronic illnesses. Therefore, medical staff should regularly assess the levels of frailty risk to help patients with schizophrenia.

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Psychiatric Diseases in Relation to Physical Illness

Chee

2021

Encyclopedia of Gerontology and Population Aging

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Prevalence and correlates of diabetes mellitus and dyslipidaemia in a long-stay inpatient schizophrenia population in Singapore

Abstract: Introduction: Patients with schizophrenia have shorter life expectancy and one of the main

Cited by 11 publications

References 43 publications

Prevalence and correlates of metabolic syndrome and its components in adults with psychotic disorders in Eldoret, Kenya

Prevalence and correlates of metabolic syndrome and its components in adults with psychotic disorders in Eldoret, Kenya

Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia

Psychiatric Diseases in Relation to Physical Illness

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