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Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis

BACKGROUND AND PURPOSE: Overweight/obesity is a modified risk factor for stroke. This systematic review and meta-analysis aimed to assess the impact of different obesity phenotypes on stroke risk in adults. METHODS: The PubMed, Embase, and Cochrane Library databases were searched from their inceptio...

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Autores principales: Meng, Miaomiao, Guo, Yixin, Kuang, Zhuoran, Liu, Lingling, Cai, Yefeng, Ni, Xiaojia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9081493/
https://www.ncbi.nlm.nih.gov/pubmed/35548434
http://dx.doi.org/10.3389/fcvm.2022.844550
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author Meng, Miaomiao
Guo, Yixin
Kuang, Zhuoran
Liu, Lingling
Cai, Yefeng
Ni, Xiaojia
author_facet Meng, Miaomiao
Guo, Yixin
Kuang, Zhuoran
Liu, Lingling
Cai, Yefeng
Ni, Xiaojia
author_sort Meng, Miaomiao
collection PubMed
description BACKGROUND AND PURPOSE: Overweight/obesity is a modified risk factor for stroke. This systematic review and meta-analysis aimed to assess the impact of different obesity phenotypes on stroke risk in adults. METHODS: The PubMed, Embase, and Cochrane Library databases were searched from their inception to 7 March 2021 to identify the prospective cohort studies investigating stroke risk among different metabolic overweight/obesity phenotypes. The methodological quality of the included studies was evaluated using the Newcastle–Ottawa Scale. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using a random-effects model. RESULTS: A total of eleven prospective cohorts (n = 5,609,945 participants) were included in the systematic review, nine of which were included in the meta-analysis. All metabolically unhealthy phenotypes had a higher risk of stroke than the metabolically healthy normal-weight phenotypes, including metabolically unhealthy normal weight (HR = 1.63, 95% CI: 1.41–1.89, I(2) = 89.74%, n = 7 cohort studies, 1,042,542 participants), metabolically unhealthy overweight (HR = 1.94, 95% CI: 1.58–2.40, I(2) = 91.17%, n = 4 cohort studies, 676,166 participants), and metabolically unhealthy obese (HR = 1.99, 95% CI: 1.66–2.40, I(2) = 93.49%, n = 6 cohort studies, 1,035,420 participants) phenotypes. However, no risk of stroke was observed in the populations with metabolically healthy overweight (MHOW) (HR = 1.07, 95% CI: 1.00–1.14, I(2) = 69.50%, n = 5 studies, 4,171,943 participants) and metabolically healthy obese (MHO) (HR = 1.07, 95% CI: 0.99–1.16, I(2) = 54.82%, n = 8 studies, 5,333,485 participants) phenotypes. The subgroup analyses for the MHO studies suggested that the risk of stroke increased only when the MHO participants were mainly females, from North America, and when the World Health Organization standard was applied to define obesity. In the subgroup analysis of the risk of stroke in MHOW, a longer follow-up duration was also associated with a higher risk of stroke. CONCLUSION: The risk of stroke increase for all metabolically unhealthy phenotypes irrespective of the body mass index (BMI). The associated risk of stroke with metabolic health but high BMI shows substantial heterogeneity, which requires future research considering the impact of sex and transition of the metabolic status on the risk of stroke. SYSTEMATIC REVIEW REGISTRATION: The study protocol was prospectively registered in PROSPERO (No. CRD42021251021).
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spelling pubmed-90814932022-05-10 Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis Meng, Miaomiao Guo, Yixin Kuang, Zhuoran Liu, Lingling Cai, Yefeng Ni, Xiaojia Front Cardiovasc Med Cardiovascular Medicine BACKGROUND AND PURPOSE: Overweight/obesity is a modified risk factor for stroke. This systematic review and meta-analysis aimed to assess the impact of different obesity phenotypes on stroke risk in adults. METHODS: The PubMed, Embase, and Cochrane Library databases were searched from their inception to 7 March 2021 to identify the prospective cohort studies investigating stroke risk among different metabolic overweight/obesity phenotypes. The methodological quality of the included studies was evaluated using the Newcastle–Ottawa Scale. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using a random-effects model. RESULTS: A total of eleven prospective cohorts (n = 5,609,945 participants) were included in the systematic review, nine of which were included in the meta-analysis. All metabolically unhealthy phenotypes had a higher risk of stroke than the metabolically healthy normal-weight phenotypes, including metabolically unhealthy normal weight (HR = 1.63, 95% CI: 1.41–1.89, I(2) = 89.74%, n = 7 cohort studies, 1,042,542 participants), metabolically unhealthy overweight (HR = 1.94, 95% CI: 1.58–2.40, I(2) = 91.17%, n = 4 cohort studies, 676,166 participants), and metabolically unhealthy obese (HR = 1.99, 95% CI: 1.66–2.40, I(2) = 93.49%, n = 6 cohort studies, 1,035,420 participants) phenotypes. However, no risk of stroke was observed in the populations with metabolically healthy overweight (MHOW) (HR = 1.07, 95% CI: 1.00–1.14, I(2) = 69.50%, n = 5 studies, 4,171,943 participants) and metabolically healthy obese (MHO) (HR = 1.07, 95% CI: 0.99–1.16, I(2) = 54.82%, n = 8 studies, 5,333,485 participants) phenotypes. The subgroup analyses for the MHO studies suggested that the risk of stroke increased only when the MHO participants were mainly females, from North America, and when the World Health Organization standard was applied to define obesity. In the subgroup analysis of the risk of stroke in MHOW, a longer follow-up duration was also associated with a higher risk of stroke. CONCLUSION: The risk of stroke increase for all metabolically unhealthy phenotypes irrespective of the body mass index (BMI). The associated risk of stroke with metabolic health but high BMI shows substantial heterogeneity, which requires future research considering the impact of sex and transition of the metabolic status on the risk of stroke. SYSTEMATIC REVIEW REGISTRATION: The study protocol was prospectively registered in PROSPERO (No. CRD42021251021). Frontiers Media S.A. 2022-04-25 /pmc/articles/PMC9081493/ /pubmed/35548434 http://dx.doi.org/10.3389/fcvm.2022.844550 Text en Copyright © 2022 Meng, Guo, Kuang, Liu, Cai and Ni. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Meng, Miaomiao
Guo, Yixin
Kuang, Zhuoran
Liu, Lingling
Cai, Yefeng
Ni, Xiaojia
Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis
title Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis
title_full Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis
title_fullStr Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis
title_full_unstemmed Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis
title_short Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis
title_sort risk of stroke among different metabolic obesity phenotypes: a systematic review and meta-analysis
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9081493/
https://www.ncbi.nlm.nih.gov/pubmed/35548434
http://dx.doi.org/10.3389/fcvm.2022.844550
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