Cardiometabolic risk profiles in a Sri Lankan twin and singleton sample.
<h4>Introduction</h4>Prevention of cardiovascular disease and diabetes is a priority in low- and middle-income countries, especially in South Asia where these are leading causes of morbidity and mortality. The metabolic syndrome is a tool to identify cardiometabolic risk, but the validit...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0276647 |
| _version_ | 1798019229041033216 |
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| author | Lisa Harber-Aschan Ioannis Bakolis Nicholas Glozier Khalida Ismail Kaushalya Jayaweera Gayani Pannala Carmine Pariante Fruhling Rijsdijk Sisira Siribaddana Athula Sumathipala Helena M S Zavos Patricia Zunszain Matthew Hotopf |
| author_facet | Lisa Harber-Aschan Ioannis Bakolis Nicholas Glozier Khalida Ismail Kaushalya Jayaweera Gayani Pannala Carmine Pariante Fruhling Rijsdijk Sisira Siribaddana Athula Sumathipala Helena M S Zavos Patricia Zunszain Matthew Hotopf |
| author_sort | Lisa Harber-Aschan |
| collection | DOAJ |
| description | <h4>Introduction</h4>Prevention of cardiovascular disease and diabetes is a priority in low- and middle-income countries, especially in South Asia where these are leading causes of morbidity and mortality. The metabolic syndrome is a tool to identify cardiometabolic risk, but the validity of the metabolic syndrome as a clinical construct is debated. This study tested the existence of the metabolic syndrome, explored alternative cardiometabolic risk characterisations, and examined genetic and environmental factors in a South Asian population sample.<h4>Methods</h4>Data came from the Colombo Twin and Singleton follow-up Study, which recruited twins and singletons in Colombo, Sri Lanka, in 2012-2015 (n = 3476). Latent class analysis tested the clustering of metabolic syndrome indicators (waist circumference, high-density lipoprotein cholesterol, triglycerides, blood pressure, fasting plasma glucose, medications, and diabetes). Regression analyses tested cross-sectional associations between the identified latent cardiometabolic classes and sociodemographic covariates and health behaviours. Structural equation modelling estimated genetic and environmental contributions to cardiometabolic risk profiles. All analyses were stratified by sex (n = 1509 men, n = 1967 women).<h4>Results</h4>Three classes were identified in men: 1) "Healthy" (52.3%), 2) "Central obesity, high triglycerides, high fasting plasma glucose" (40.2%), and 3) "Central obesity, high triglycerides, diabetes" (7.6%). Four classes were identified in women: 1) "Healthy" (53.2%), 2) "Very high central obesity, low high-density lipoprotein cholesterol, raised fasting plasma glucose" (32.8%), 3) "Very high central obesity, diabetes" (7.2%) and 4) "Central obesity, hypertension, raised fasting plasma glucose" (6.8%). Older age in men and women, and high socioeconomic status in men, was associated with cardiometabolic risk classes, compared to the "Healthy" classes. In men, individual differences in cardiometabolic class membership were due to environmental effects. In women, genetic differences predicted class membership.<h4>Conclusion</h4>The findings did not support the metabolic syndrome construct. Instead, distinct clinical profiles were identified for men and women, suggesting different aetiological pathways. |
| first_indexed | 2024-04-11T16:37:06Z |
| format | Article |
| id | doaj.art-967bfe2ac57e48a08e5216fe6442c8a1 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-11T16:37:06Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-967bfe2ac57e48a08e5216fe6442c8a12022-12-22T04:13:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011711e027664710.1371/journal.pone.0276647Cardiometabolic risk profiles in a Sri Lankan twin and singleton sample.Lisa Harber-AschanIoannis BakolisNicholas GlozierKhalida IsmailKaushalya JayaweeraGayani PannalaCarmine ParianteFruhling RijsdijkSisira SiribaddanaAthula SumathipalaHelena M S ZavosPatricia ZunszainMatthew Hotopf<h4>Introduction</h4>Prevention of cardiovascular disease and diabetes is a priority in low- and middle-income countries, especially in South Asia where these are leading causes of morbidity and mortality. The metabolic syndrome is a tool to identify cardiometabolic risk, but the validity of the metabolic syndrome as a clinical construct is debated. This study tested the existence of the metabolic syndrome, explored alternative cardiometabolic risk characterisations, and examined genetic and environmental factors in a South Asian population sample.<h4>Methods</h4>Data came from the Colombo Twin and Singleton follow-up Study, which recruited twins and singletons in Colombo, Sri Lanka, in 2012-2015 (n = 3476). Latent class analysis tested the clustering of metabolic syndrome indicators (waist circumference, high-density lipoprotein cholesterol, triglycerides, blood pressure, fasting plasma glucose, medications, and diabetes). Regression analyses tested cross-sectional associations between the identified latent cardiometabolic classes and sociodemographic covariates and health behaviours. Structural equation modelling estimated genetic and environmental contributions to cardiometabolic risk profiles. All analyses were stratified by sex (n = 1509 men, n = 1967 women).<h4>Results</h4>Three classes were identified in men: 1) "Healthy" (52.3%), 2) "Central obesity, high triglycerides, high fasting plasma glucose" (40.2%), and 3) "Central obesity, high triglycerides, diabetes" (7.6%). Four classes were identified in women: 1) "Healthy" (53.2%), 2) "Very high central obesity, low high-density lipoprotein cholesterol, raised fasting plasma glucose" (32.8%), 3) "Very high central obesity, diabetes" (7.2%) and 4) "Central obesity, hypertension, raised fasting plasma glucose" (6.8%). Older age in men and women, and high socioeconomic status in men, was associated with cardiometabolic risk classes, compared to the "Healthy" classes. In men, individual differences in cardiometabolic class membership were due to environmental effects. In women, genetic differences predicted class membership.<h4>Conclusion</h4>The findings did not support the metabolic syndrome construct. Instead, distinct clinical profiles were identified for men and women, suggesting different aetiological pathways.https://doi.org/10.1371/journal.pone.0276647 |
| spellingShingle | Lisa Harber-Aschan Ioannis Bakolis Nicholas Glozier Khalida Ismail Kaushalya Jayaweera Gayani Pannala Carmine Pariante Fruhling Rijsdijk Sisira Siribaddana Athula Sumathipala Helena M S Zavos Patricia Zunszain Matthew Hotopf Cardiometabolic risk profiles in a Sri Lankan twin and singleton sample. PLoS ONE |
| title | Cardiometabolic risk profiles in a Sri Lankan twin and singleton sample. |
| title_full | Cardiometabolic risk profiles in a Sri Lankan twin and singleton sample. |
| title_fullStr | Cardiometabolic risk profiles in a Sri Lankan twin and singleton sample. |
| title_full_unstemmed | Cardiometabolic risk profiles in a Sri Lankan twin and singleton sample. |
| title_short | Cardiometabolic risk profiles in a Sri Lankan twin and singleton sample. |
| title_sort | cardiometabolic risk profiles in a sri lankan twin and singleton sample |
| url | https://doi.org/10.1371/journal.pone.0276647 |
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