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Which Criteria to Use to Identify Metabolic Syndrome among Patients with Addictive Disorders?: Observations among Patients with Alcohol and Opioid Dependence Syndrome
In spite of various psychoactive substances (including tobacco, alcohol, and opioids) being closely associated with development of metabolic syndrome (MS), little research exists on the prevalence of MS among persons with addictive disorders. The criteria used to diagnose MS varied across these stud...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Medknow Publications & Media Pvt Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085964/ https://www.ncbi.nlm.nih.gov/pubmed/30148108 http://dx.doi.org/10.4103/ijem.IJEM_617_17 |
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author | Singh Balhara, Yatan Pal Jain, Raka Kuppili, Pooja Patnaik Shukla, Anukriti Chawla, Nishtha Gupta, Rishi |
author_facet | Singh Balhara, Yatan Pal Jain, Raka Kuppili, Pooja Patnaik Shukla, Anukriti Chawla, Nishtha Gupta, Rishi |
author_sort | Singh Balhara, Yatan Pal |
collection | PubMed |
description | In spite of various psychoactive substances (including tobacco, alcohol, and opioids) being closely associated with development of metabolic syndrome (MS), little research exists on the prevalence of MS among persons with addictive disorders. The criteria used to diagnose MS varied across these studies, and part of the variation in the prevalence rate (5.1%–30.6%) could be attributable to this fact. The current study aimed to assess the prevalence of MS in patients with alcohol dependence syndrome (ADS) and opioid dependence syndrome (ODS) using revised National Cholesterol Education Programme Adult Treatment Panel (NCEP ATP-III) criteria and International Diabetes Federation (IDF) criteria. We tried to assess the impact of the choice of the diagnostic criteria on the prevalence rate of MS in the persons with ADS and ODS. This was a cross-sectional observational study. Semi-structured pro forma was used to collect information on the sociodemographic profile and clinical profile. Anthropometric measurements included waist circumference, height, weight, and body mass index (BMI). The systolic and diastolic blood pressure, fasting blood sugar (FBS), serum triglycerides, and serum high-density lipoprotein were measured. Patients were diagnosed as having MS by using revised NCEP ATP-III and IDF criteria. Statistical analysis was done by Chi-square (Fischer's exact test), independent sample Student's t-test, and Cohen's kappa. Among the individuals with ADS, the prevalence of MS was found to be 20.8% and 9.9% according to revised NCEP ATP III criteria and IDF criteria, respectively. Among individuals with ODS, the prevalence of MS was found to be 20.3% and 5.1% according to revised NCEP ATP III criteria IDF criteria, respectively. While there was a good degree of concordance between IDF and modified NCEP-ATP III criteria for MS for ADS (n = 256) (κ = 0.649, P < 0.001), the concordance was only fair for ODS (κ = 0.333, P < 0.001). The findings of our study thereby support the recommendation that revised NCEP ATP-III criteria is better choice than IDF criteria for identification of MS in individuals having addictive disorders, especially opioid dependence. |
format | Online Article Text |
id | pubmed-6085964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-60859642018-08-24 Which Criteria to Use to Identify Metabolic Syndrome among Patients with Addictive Disorders?: Observations among Patients with Alcohol and Opioid Dependence Syndrome Singh Balhara, Yatan Pal Jain, Raka Kuppili, Pooja Patnaik Shukla, Anukriti Chawla, Nishtha Gupta, Rishi Indian J Endocrinol Metab Brief Communication In spite of various psychoactive substances (including tobacco, alcohol, and opioids) being closely associated with development of metabolic syndrome (MS), little research exists on the prevalence of MS among persons with addictive disorders. The criteria used to diagnose MS varied across these studies, and part of the variation in the prevalence rate (5.1%–30.6%) could be attributable to this fact. The current study aimed to assess the prevalence of MS in patients with alcohol dependence syndrome (ADS) and opioid dependence syndrome (ODS) using revised National Cholesterol Education Programme Adult Treatment Panel (NCEP ATP-III) criteria and International Diabetes Federation (IDF) criteria. We tried to assess the impact of the choice of the diagnostic criteria on the prevalence rate of MS in the persons with ADS and ODS. This was a cross-sectional observational study. Semi-structured pro forma was used to collect information on the sociodemographic profile and clinical profile. Anthropometric measurements included waist circumference, height, weight, and body mass index (BMI). The systolic and diastolic blood pressure, fasting blood sugar (FBS), serum triglycerides, and serum high-density lipoprotein were measured. Patients were diagnosed as having MS by using revised NCEP ATP-III and IDF criteria. Statistical analysis was done by Chi-square (Fischer's exact test), independent sample Student's t-test, and Cohen's kappa. Among the individuals with ADS, the prevalence of MS was found to be 20.8% and 9.9% according to revised NCEP ATP III criteria and IDF criteria, respectively. Among individuals with ODS, the prevalence of MS was found to be 20.3% and 5.1% according to revised NCEP ATP III criteria IDF criteria, respectively. While there was a good degree of concordance between IDF and modified NCEP-ATP III criteria for MS for ADS (n = 256) (κ = 0.649, P < 0.001), the concordance was only fair for ODS (κ = 0.333, P < 0.001). The findings of our study thereby support the recommendation that revised NCEP ATP-III criteria is better choice than IDF criteria for identification of MS in individuals having addictive disorders, especially opioid dependence. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6085964/ /pubmed/30148108 http://dx.doi.org/10.4103/ijem.IJEM_617_17 Text en Copyright: © 2018 Indian Journal of Endocrinology and Metabolism http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Brief Communication Singh Balhara, Yatan Pal Jain, Raka Kuppili, Pooja Patnaik Shukla, Anukriti Chawla, Nishtha Gupta, Rishi Which Criteria to Use to Identify Metabolic Syndrome among Patients with Addictive Disorders?: Observations among Patients with Alcohol and Opioid Dependence Syndrome |
title | Which Criteria to Use to Identify Metabolic Syndrome among Patients with Addictive Disorders?: Observations among Patients with Alcohol and Opioid Dependence Syndrome |
title_full | Which Criteria to Use to Identify Metabolic Syndrome among Patients with Addictive Disorders?: Observations among Patients with Alcohol and Opioid Dependence Syndrome |
title_fullStr | Which Criteria to Use to Identify Metabolic Syndrome among Patients with Addictive Disorders?: Observations among Patients with Alcohol and Opioid Dependence Syndrome |
title_full_unstemmed | Which Criteria to Use to Identify Metabolic Syndrome among Patients with Addictive Disorders?: Observations among Patients with Alcohol and Opioid Dependence Syndrome |
title_short | Which Criteria to Use to Identify Metabolic Syndrome among Patients with Addictive Disorders?: Observations among Patients with Alcohol and Opioid Dependence Syndrome |
title_sort | which criteria to use to identify metabolic syndrome among patients with addictive disorders?: observations among patients with alcohol and opioid dependence syndrome |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085964/ https://www.ncbi.nlm.nih.gov/pubmed/30148108 http://dx.doi.org/10.4103/ijem.IJEM_617_17 |
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