TY - JOUR
T1 - Prevalence and correlates of metabolic syndrome and its components in adults with psychotic disorders in Eldoret, Kenya
AU - Kwobah, Edith
AU - Koen, Nastassja
AU - Mwangi, Ann
AU - Atwoli, Lukoye
AU - Stein, Dan J.
N1 - Funding Information:
The PhD thesis from which this paper was developed was supported by the Neuropsychiatric Genetics of African Populations (NeuroGAP) - Psychosis study hosted at the Stanley Global at the Broad Institute and the Harvard T.H Chan School of public health, USA. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. 1. Professor Carl Lombard of the Biostatistics Unit at the South African Medical Research Council for his assistance with sample size calculation. 2. Dr Kamano, Internal medicine specialist, Moi University, for her insights as I developed the proposal. 3. The NeuroGAP Moi team Stella Gichuru, Eunice Jeptanui, Fredrick Ochieng and Ndenga Indagala, and to my research assistant Julius Barasa, for their support in data collection and other logistics. 4. I am indebted to the AMPATH Kenya and my employer, Moi teaching and referral hospital headed by Dr Wilson Aruasa for allowing me to use the facilities that were required to complete this study.
Publisher Copyright:
© 2021 Kwobah et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2021/1
Y1 - 2021/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85099894184&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0245086
DO - 10.1371/journal.pone.0245086
M3 - Article
C2 - 33428652
AN - SCOPUS:85099894184
SN - 1932-6203
VL - 16
JO - PLoS ONE
JF - PLoS ONE
IS - 1 January
M1 - e0245086
ER -