Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region
We assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same ti...
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2013-01-01
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Series: | International Journal of Endocrinology |
Online Access: | http://dx.doi.org/10.1155/2013/801832 |
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author | Tanica Lyngdoh Bharathi Viswanathan Edwin van Wijngaarden Gary J. Myers Pascal Bovet |
author_facet | Tanica Lyngdoh Bharathi Viswanathan Edwin van Wijngaarden Gary J. Myers Pascal Bovet |
author_sort | Tanica Lyngdoh |
collection | DOAJ |
description | We assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same time (cross-sectional analysis) or at the age of 12–15 years (longitudinal analysis). BMI tracked markedly between age of 12–15 and age of 19-20. BMI was strongly associated with all considered CRFs in both cross-sectional and longitudinal analyses, with some exceptions. Comparing overweight participants with those having a BMI below the age-specific median, the odds ratios for high blood pressure were 5.4/4.7 (male/female) cross-sectionally and 2.5/3.9 longitudinally (P<0.05). Significant associations were also found for most other CRFs, with some exceptions. In linear regression analysis including both BMI at age of 12–15 and BMI at age of 19-20, only BMI at age of 19-20 remained significantly associated with most CRFs. We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. The observation that only current BMI remained associated with CRFs when including past and current levels together suggests that weight control at a later age may be effective in reducing CRFs in overweight children irrespective of past weight status. |
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id | doaj-art-a6df21b9f7cb4efe9a3409a40d195139 |
institution | Kabale University |
issn | 1687-8337 1687-8345 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Endocrinology |
spelling | doaj-art-a6df21b9f7cb4efe9a3409a40d1951392025-02-03T01:01:06ZengWileyInternational Journal of Endocrinology1687-83371687-83452013-01-01201310.1155/2013/801832801832Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African RegionTanica Lyngdoh0Bharathi Viswanathan1Edwin van Wijngaarden2Gary J. Myers3Pascal Bovet4Institute of Social and Preventive Medicine, Lausanne University Hospital, CH-1010 Lausanne, SwitzerlandSection of Noncommunicable Diseases, Ministry of Health, Victoria, SeychellesDepartment of Community and Preventive Medicine, University of Rochester Medical Center, Rochester, NY, USADepartments of Neurology, Pediatrics, and Environmental Medicine, University of Rochester Medical Center, Rochester, NY, USAInstitute of Social and Preventive Medicine, Lausanne University Hospital, CH-1010 Lausanne, SwitzerlandWe assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same time (cross-sectional analysis) or at the age of 12–15 years (longitudinal analysis). BMI tracked markedly between age of 12–15 and age of 19-20. BMI was strongly associated with all considered CRFs in both cross-sectional and longitudinal analyses, with some exceptions. Comparing overweight participants with those having a BMI below the age-specific median, the odds ratios for high blood pressure were 5.4/4.7 (male/female) cross-sectionally and 2.5/3.9 longitudinally (P<0.05). Significant associations were also found for most other CRFs, with some exceptions. In linear regression analysis including both BMI at age of 12–15 and BMI at age of 19-20, only BMI at age of 19-20 remained significantly associated with most CRFs. We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. The observation that only current BMI remained associated with CRFs when including past and current levels together suggests that weight control at a later age may be effective in reducing CRFs in overweight children irrespective of past weight status.http://dx.doi.org/10.1155/2013/801832 |
spellingShingle | Tanica Lyngdoh Bharathi Viswanathan Edwin van Wijngaarden Gary J. Myers Pascal Bovet Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region International Journal of Endocrinology |
title | Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region |
title_full | Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region |
title_fullStr | Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region |
title_full_unstemmed | Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region |
title_short | Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region |
title_sort | cross sectional and longitudinal associations between body mass index and cardiometabolic risk factors in adolescents in a country of the african region |
url | http://dx.doi.org/10.1155/2013/801832 |
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