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Ibrahim FA, Mehta UM, Thekkumkara SN, Rakesh KR, Swetha G, Kumar CN, Kumar KJ, Narayana A, Ravisundar S, Satyanarayana P, Thirthalli J. Multivariate associations between cognition and neighborhood geospatial characteristics in schizophrenia. Asian J Psychiatr 2023; 84:103593. [PMID: 37084467 DOI: 10.1016/j.ajp.2023.103593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 04/06/2023] [Accepted: 04/14/2023] [Indexed: 04/23/2023]
Abstract
Cognitive impairment contributes to functional impairment in schizophrenia. Yet, little is known about how environmental characteristics are related to cognition in schizophrenia. By examining how cognition and the environment are intertwined, it may be possible to identify modifiable risk and protective factors that can improve cognitive outcomes in schizophrenia. We aimed to identify multivariate associations between cognition and three geospatial characteristics (built-space density, habitable green spaces, and public spaces for social interaction) within one's immediate neighborhood among individuals with schizophrenia. We recruited participants with schizophrenia from three sites - an urban metropolitan and two towns in southern India. We administered standard cognitive assessments and performed a principal axis factoring to identify episodic memory, cognitive control, and social inference-making factors for use in further analyses. We estimated geospatial characteristics of an individual's neighborhood, i.e., up to 1 km2 around the residence, by sourcing data from Google Earth. We performed unconditional and conditional (to examine the effect of clinical covariates) canonical correlation analyses to understand the multivariate relationship between cognition and geospatial characteristics. We analyzed data from 208 participants; the first canonical cognitive variate (higher social inference-making and poorer cognitive control) shared 24% of the variance (r = 0.49; P < 0.001) with the first geospatial variate (lower built density and poorer access to public spaces). Years of education, age at onset, and place of residence significantly modulated this relationship. We observe differential associations of the built environment with social and non-social cognition in schizophrenia, and highlight the clinical and demographic characteristics that shape these associations.
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Affiliation(s)
- Ferose Azeez Ibrahim
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Urvakhsh Meherwan Mehta
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India.
| | - Sreekanth N Thekkumkara
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - K R Rakesh
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - G Swetha
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - C Naveen Kumar
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Keshav J Kumar
- Clinical Psychology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | | | | | | | - Jagadisha Thirthalli
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
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Luckhoff HK, Asmal L, Scheffler F, Phahladira L, Smit R, van den Heuvel L, Fouche JP, Seedat S, Emsley R, du Plessis S. Associations between BMI and brain structures involved in food intake regulation in first-episode schizophrenia spectrum disorders and healthy controls. J Psychiatr Res 2022; 152:250-259. [PMID: 35753245 DOI: 10.1016/j.jpsychires.2022.06.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 06/04/2022] [Accepted: 06/10/2022] [Indexed: 11/28/2022]
Abstract
Structural brain differences have been described in first-episode schizophrenia spectrum disorders (FES), and often overlap with those evident in the metabolic syndrome (MetS). We examined the associations between body mass index (BMI) and brain structures involved in food intake regulation in minimally treated FES patients (n = 117) compared to healthy controls (n = 117). The effects of FES diagnosis, BMI and their interactions on our selected prefrontal cortical thickness and subcortical gray matter volume regions of interest (ROIs) were investigated with hierarchical multivariate regressions, followed by post-hoc regressions for the individual ROIs. In a secondary analysis, we examined the relationships of other MetS risk factors and psychopathology with the brain ROIs. Both illness and BMI significantly predicted the grouped prefrontal cortical thickness ROIs, whereas only BMI predicted the grouped subcortical volume ROIs. For the individual ROIs, schizophrenia diagnosis predicted thinner left and right frontal pole and right lateral OFC thickness, and increased BMI predicted thinner left and right caudal ACC thickness. There were no significant main or interaction effects for diagnosis and BMI on any of the individual subcortical volume ROIs. Secondary analyses suggest associations between several brain ROIs and individual MetS risk factors, but not with psychopathology. Our findings indicate differential, independent effects for FES diagnosis and BMI on brain structures. Limited evidence suggests that the BMI effects are more prominent in FES. Exploratory analyses suggest associations between other MetS risk factors and some brain ROIs.
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Affiliation(s)
- H K Luckhoff
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7550, South Africa.
| | - L Asmal
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7550, South Africa
| | - F Scheffler
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7550, South Africa
| | - L Phahladira
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7550, South Africa
| | - R Smit
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7550, South Africa
| | - L van den Heuvel
- South African Medical Research Council, Stellenbosch University Genomics of Brain Disorders Research Unit, Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7550, South Africa
| | - J P Fouche
- South African Medical Research Council, Stellenbosch University Genomics of Brain Disorders Research Unit, Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7550, South Africa
| | - S Seedat
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7550, South Africa
| | - R Emsley
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7550, South Africa
| | - S du Plessis
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7550, South Africa
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Wang Y, Zeng L, Chen L, Zhou X, Huo L, Wang T, Zhou Y, Zhang X. The prevalence and clinical characteristics of diabetes mellitus in Chinese inpatients with chronic schizophrenia: a multicenter cross-sectional study. PeerJ 2021; 9:e12553. [PMID: 34909279 PMCID: PMC8641481 DOI: 10.7717/peerj.12553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 11/05/2021] [Indexed: 11/20/2022] Open
Abstract
Background Diabetes mellitus (DM) is common among patients with schizophrenia. However, information on patients comorbid DM and schizophrenia is limited in China. The present study investigated the prevalence of DM and its clinical characteristics in Chinese inpatients with chronic schizophrenia. Methods A cross-sectional study was performed in Chinese inpatients with chronic schizophrenia. Diagnosis of Diabetes was established using World Health Organization diagnostic criteria for diabetes mellitus (persistent fasting glucose levels ≥ 126 mg/dl or 2-h plasma glucose ≥ 200 mg/dL after a 75-g Oral Glucose Tolerance Test). Patients were also measured height, weight, waist circumference, hip circumference, triglyceride level, and cholesterol level. Patients’ psychiatric symptoms were measured by the Positive and Negative Syndrome Scale (PANSS). Binary logistic regression analysis was performed to examine the associated demographic and clinical variables in chronic schizophrenia. Results A total of 988 inpatients (64.6% male, average age of 47.19 ± 12.55) was recruited. The prevalence of DM in Chinese patients with chronic schizophrenia was 13.8% (95% CI [11.6–15.9]%). Logistic regression analysis showed that overweight (OR = 1.90, 95% CI [1.20–3.03], p = 0.006), obesity (OR = 1.85, 95% CI [1.07–3.21], p = 0.028), comorbid hypertension (OR = 2.14, 95% CI [1.34–3.42], p = 0.002), and course of schizophrenia (OR = 1.03, 95% CI [1.01–1.06], p = 0.040) were significantly associated with the DM risk in patients with schizophrenia. Conclusion The findings indicated that diabetes mellitus was non-negligible in patients with chronic schizophrenia. Patients with schizophrenia should be regularly monitored for DM. Overweight/obesity, long duration of schizophrenia, and comorbid hypertension possibly were risk factors for diabetes.
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Affiliation(s)
- Yanni Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou, China
| | - Lingyun Zeng
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, Shenzhen, China
| | - Lijuan Chen
- School of Literature, Journalism & Communication, South-Central University for Nationalities, Wuhan, China
| | - Xin Zhou
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China
| | - Lijuan Huo
- Department of Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Tingwei Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou, China
| | - Yongjie Zhou
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, Shenzhen, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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Agarwal V, Thirthalli J, Kumar CN, Christopher R, U Arunachal G, Reddy KS, Rawat VS, Gangadhar BN, Wood J, Nimgaonkar V. Parental consanguinity among patients with schizophrenia in a rural community of South India: A clinical and genetic investigation. Asian J Psychiatr 2021; 64:102814. [PMID: 34425412 DOI: 10.1016/j.ajp.2021.102814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 07/12/2021] [Accepted: 08/10/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Studies from certain regions of the world indicate that consanguineous marriages are a risk factor for the development of schizophrenia in offspring. However the evidence is inconsistent partly due to methodological limitation of which hospital based recruitment contributing to significant bias. The studies from the Indian subcontinent, is scarce, where rates of consanguinity is high. METHODS The schizophrenia patients living in a geographically defined rural south Indian community and randomly selected controls dwelling in the same community sharing sociocultural, economic and lifestyle factors were recruited. They were assessed for parental consanguinity using the clinical interviews as well as DNA-based estimates. The latter was conducted by calculating the coefficient of inbreeding 'f'. A participant was considered to have consanguineous parentage if his/her parents shared a common ancestor no more remote than a great-great-grandparent, corresponding to DNA-based estimates of 'f' ≥ 0.0156. RESULTS The rates of parental consanguinity assessed by clinical interview were comparable in both groups (Cases: 10.71 %, Controls: 7.25 %; χ2 = 0.493, p = 0.4825). However, DNA-based rates of parental consanguinity showed that 'f' was significantly higher among cases than controls (Mann-Whitney U = 11315.5; p = 0.022). Seventy-five cases (62.5 %) and 108 control participants (48.6 %) had 'f' ≥ 0.0156 (χ2 = 6.008; p = 0.014). The results were consistent across different quality control measures. CONCLUSION Schizophrenia is associated with higher parental consanguinity, suggesting a role for multiple recessive risk alleles in its etiology. Replication in future studies in diverse settings would add further strength to this.
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Affiliation(s)
- Vikas Agarwal
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, Bengaluru, India
| | - Jagadisha Thirthalli
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, Bengaluru, India.
| | | | - Rita Christopher
- Department of Neurochemistry, National Institute of Mental Health And Neuro Sciences, Bengaluru, India
| | - Gautham U Arunachal
- Department of Human Genetics, National Institute of Mental Health And Neuro Sciences, Bengaluru, India
| | - K Shanivaram Reddy
- Department of Psychiatric Social Work, National Institute of Mental Health And Neuro Sciences, Bengaluru, India
| | - Vikram Singh Rawat
- Department of Psychiatry, All India Institute of Mediacal Sciences, Rishikesh, India
| | - Bangalore N Gangadhar
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, Bengaluru, India
| | - Joel Wood
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, USA
| | - Vishwajit Nimgaonkar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA
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Padmavati R, Kantipudi SJ, Balasubramanian S, Raghavan V. Cardiovascular Diseases and Schizophrenia in India: Evidence, Gaps, and Way Forward. Front Psychiatry 2021; 12:639295. [PMID: 34248694 PMCID: PMC8264419 DOI: 10.3389/fpsyt.2021.639295] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 05/03/2021] [Indexed: 11/18/2022] Open
Abstract
Background: The importance of physical health among persons with schizophrenia is well-established. Studies from developed and developing countries indicated a strong association between cardiovascular diseases and schizophrenia, while evidence from India is scattered and in its infancy. Hence, the aims of the study were to collate available studies from India on cardiovascular diseases among persons with schizophrenia, identify knowledge gaps and challenges, and discuss recommendations to improve clinical care and research on cardiovascular diseases among persons with schizophrenia in India. Materials and methods: A comprehensive literature review of Indian studies on cardiovascular diseases and schizophrenia was conducted to collate and synthesise available knowledge. Results: Several risk factors for cardiovascular disease predominated among persons with schizophrenia. Metabolic syndrome and obesity were the key factors that were reported. Knowledge gaps were identified with respect to the prevalence of cardiovascular diseases among persons with schizophrenia. Sparse research in interventions to prevent and reduce the impact of cardiovascular diseases among persons with schizophrenia was noted. Conclusion: Targeted efforts are needed at the clinic, community, and policy levels to understand the impact of cardiovascular diseases among persons with schizophrenia. Robust and feasible interventions targeting cardiovascular diseases and its varied risk factors in persons with schizophrenia, that can be implemented in tertiary mental health services, need to be developed and tested.
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Affiliation(s)
| | - Suvarna Jyothi Kantipudi
- Department of Psychiatry, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
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Kornetova EG, Kornetov AN, Mednova IA, Goncharova AA, Gerasimova VI, Pozhidaev IV, Boiko AS, Semke AV, Loonen AJM, Bokhan NA, Ivanova SA. Comparative Characteristics of the Metabolic Syndrome Prevalence in Patients With Schizophrenia in Three Western Siberia Psychiatric Hospitals. Front Psychiatry 2021; 12:661174. [PMID: 34276438 PMCID: PMC8282925 DOI: 10.3389/fpsyt.2021.661174] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 06/09/2021] [Indexed: 12/13/2022] Open
Abstract
Objective: The purpose of this study was to compare the prevalence of MetS and the associated sociodemographic, clinical, and pharmacotherapeutic characteristics of patients with schizophrenia in three psychiatric hospitals in the West Siberian region. Methods: Patients with a clinical diagnosis of schizophrenia (ICD-10: F20) and an age between 18 and 60 years were included in the study after giving informed consent. Metabolic syndrome was diagnosed according to the International Diabetes Federation criteria. This research was carried out at three Western Siberian psychiatric hospitals in Kemerovo, Tomsk, and Omsk. The study population included respectively 94, 131, and 91 inpatients with schizophrenia. We carried out schizophrenia symptoms assessment by PANSS, antipsychotic therapy evaluation, anthropometry, and biochemical analysis. Statistical Analysis included the Shapiro-Wilk test, non-parametric Kruskal-Wallis H-test for independent samples, Mann-Whitney U-test for independent samples, the chi-square test, stepwise multiple regression analyses. The level of significance was p < 0.05. Results: The metabolic syndrome prevalence was higher among patients in Tomsk (36.6%), compared with Kemerovo (20.2%, p = 0.008) or Omsk (18.7%, p = 0.004), mainly due to the high prevalence of abdominal obesity, while men from Tomsk were more susceptible to this condition than men from other regions (p < 0.05). Patients from Omsk had the highest severity schizophrenia symptoms according to PANSS, and patients from Tomsk had the lowest severity of positive symptoms according to PANSS. Patients from Tomsk had the minimum duration of antipsychotic therapy compared with the patient from Kemerovo (p = 0.017) and from Omsk (p = 0.000019), but most patients from Tomsk received second-generation atypical antipsychotics, while patients from Omsk received mainly conventional antipsychotics (p = 0.0001). Multiple regression analysis showed that metabolic syndrome associated with schizophrenia duration and body mass index, although the association was not so strong (adjusted R 2 = 0.2435, p < 0.0001). Discussion: The study illustrates that in different psychiatric hospitals within the same region, the prevalence of metabolic syndrome in patients with schizophrenia can vary significantly, which dictates the need to look for opportunities to minimize the risk of its occurrence, taking into account the experience of each hospital.
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Affiliation(s)
- Elena G Kornetova
- Endogenous Disorders Department, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,University Hospital, Siberian State Medical University, Tomsk, Russia
| | - Alexander N Kornetov
- Fundamental Psychology and Behavioral Medicine Department, Siberian State Medical University, Tomsk, Russia
| | - Irina A Mednova
- Molecular Genetics and Biochemistry Laboratory, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Anastasia A Goncharova
- Endogenous Disorders Department, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Valeria I Gerasimova
- Endogenous Disorders Department, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Ivan V Pozhidaev
- Molecular Genetics and Biochemistry Laboratory, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Anastasiia S Boiko
- Molecular Genetics and Biochemistry Laboratory, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Arkadiy V Semke
- Endogenous Disorders Department, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Anton J M Loonen
- PharmacoTherapy, -Epidemiology and -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands
| | - Nikolay A Bokhan
- Addictive Disorders Department, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,Psychiatry, Addiction Psychiatry and Psychotherapy Department, Siberian State Medical University, Tomsk, Russia
| | - Svetlana A Ivanova
- Molecular Genetics and Biochemistry Laboratory, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,Psychiatry, Addiction Psychiatry and Psychotherapy Department, Siberian State Medical University, Tomsk, Russia
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Manjunatha N, Kumar CN, Chander KR, Sadh K, Gowda GS, Vinay B, Shashidhara HN, Parthasarathy R, Rao GN, Math SB, Thirthalli J. Taluk Mental Health Program: The new kid on the block? Indian J Psychiatry 2019; 61:635-639. [PMID: 31896872 PMCID: PMC6862988 DOI: 10.4103/psychiatry.indianjpsychiatry_343_19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
This article highlights the platform and framework for the new public mental health initiative, the Taluk Mental Health Program (TMHP), rolled out by the Government of India, as part of the expansion of the District Mental Health Program. In this initial phase, TMHP has been approved for ten taluks of Karnataka state. In the authors' collective opinion, few of the initiatives in the country could be considered as foundations for conceptualizing the TMHP (a) research programs and projects in the community, (b) community intervention programs running in two taluks of Karnataka since the past one and a half decade (Thirthahalli and Turuvekere taluks of Karnataka), and the (c) Primary Care Psychiatry Program of National Institute of Mental Health and Neurosciences. The article briefly describes the above initiatives and ends with further suggestions to scale up TMHP.
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Affiliation(s)
- Narayana Manjunatha
- Department of Psychiatry, Government of Karnataka, Bengaluru, Karnataka, India
| | | | | | - Kamaldeep Sadh
- Department of Psychiatry, Government of Karnataka, Bengaluru, Karnataka, India
| | - Guru S Gowda
- Department of Psychiatry, Government of Karnataka, Bengaluru, Karnataka, India
| | - B Vinay
- Department of Psychiatry, Government of Karnataka, Bengaluru, Karnataka, India
| | - H N Shashidhara
- Department of Psychiatry, Government of Karnataka, Bengaluru, Karnataka, India
| | - Rajani Parthasarathy
- Department of Health and Family Welfare Service, Government of Karnataka, Bengaluru, Karnataka, India
| | - Girish N Rao
- Department of Epidemiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Suresh Bada Math
- Department of Psychiatry, Government of Karnataka, Bengaluru, Karnataka, India
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Cocoman AM, Gallagher D. A Retrospective Chart Review of Screening on the Prevalence of Metabolic Syndrome (MetS) in an Irish Community Mental Health Service. Issues Ment Health Nurs 2019; 40:895-901. [PMID: 31295053 DOI: 10.1080/01612840.2019.1609636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Individuals who are treated with antipsychotic medications are at risk of developing metabolic syndrome (MetS). The comorbidity of a severe mental illness (SMI) and a physical illness has a major impact on the quality of life of these individuals. We conducted a retrospective chart review (RCR) of 214 individuals with a diagnosis of schizophrenia who had been receiving antipsychotic medications for at least 6 months, in five clinical settings in an Irish community mental health service. The aim was to determine the presence of MetS to assist in improving screening practices and directing future practice. The National Cholesterol Education Program High Blood Cholesterol Adult Treatment Panel 111 (NCEP ATP 111) metabolic diagnostic criteria were utilised to determine prevalence. After examining 214 charts we observed that waist circumference varied from 68 to 142 cm, elevated waist circumference over the recommended parameters was recorded in 145 charts. Forty-five percent (n = 98) had blood pressure (BP) readings over 130/85. The range for body mass index (BMI)'s varied from 16 to 54, BMIs over 25 was recorded in 44% (n = 95) of charts. Elevated triglycerides (TG) were recorded in 37% (n = 80) and 45% (n = 97) had reduced HDL-C levels. Elevated glucose levels were found in 25% (n = 54) of the charts examined. The chart review found an overall prevalence rate of 44% (n = 94) for this sample. Regular audit of screening data used for the presence of MetS in individuals with SMI is essential in the detection of physical comorbidities and to improving the quality of life and prevention of premature deaths.
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Affiliation(s)
- Angela M Cocoman
- Faculty of Science and Health, School of Nursing and Human Sciences, Dublin City University , Dublin , Ireland
| | - Darren Gallagher
- Faculty of Science and Health, School of Nursing and Human Sciences, Dublin City University , Dublin , Ireland
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Symposium summary on "Community Psychiatry and DMHP-An update". Asian J Psychiatr 2019; 39:29-31. [PMID: 30508774 DOI: 10.1016/j.ajp.2018.11.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Revised: 11/17/2018] [Accepted: 11/24/2018] [Indexed: 11/23/2022]
Abstract
This summary provides details of a one-day symposium, titled 'Community Psychiatry and District Mental Health Program (DMHP)- An update' that was organized jointly by the Departments of Psychiatry and Epidemiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru in collaboration with the Department of Health and Family Welfare, Government of Karnataka on September 3rd 2018. This symposium was supported by Dr. Ramachandra N Moorthy, foundation for Mental Health and Neurological Sciences, NIMHANS, Bengaluru.
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Bijjal S, Ganesh S, Rawat VS, Agarwal V, Shanivaram Reddy K, Renuka Devi NR, Kumar CN, Christopher R, Thirthalli J. Six months' course and outcome of metabolic abnormalities in a cohort of patients with schizophrenia in rural India. Schizophr Res 2018; 201:415-416. [PMID: 29880456 DOI: 10.1016/j.schres.2018.05.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 05/01/2018] [Accepted: 05/12/2018] [Indexed: 12/01/2022]
Affiliation(s)
- Somashekar Bijjal
- Department of Psychiatry, Gadag Institute of Mental Sciences, Gadag, India
| | - Suhas Ganesh
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Vikram Singh Rawat
- Department of Psychiatry, All India Institute of Medical Sciences, Rishikesh, India
| | - Vikas Agarwal
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - K Shanivaram Reddy
- Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences, India
| | - N R Renuka Devi
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | | | - Rita Christopher
- Department of Neurochemistry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Jagadisha Thirthalli
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
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