Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle Factors

Objectives. To evaluate the associations between individuals with and without changes in components of metabolic syndrome (MetS) and demographic, nutritional, and lifestyle factors. Methods. A cross-sectional study was conducted with 224 individuals followed-up at a public hospital in Northeast Braz...

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Main Authors: Layne Christina Benedito de Assis Lima, Séphora Louyse Silva Aquino, Aline Tuane Oliveira da Cunha, Talita do Nascimento Peixoto, Severina Carla Vieira Cunha Lima, Karine Cavalcanti Maurício Sena-Evangelista, Josivan Gomes Lima, Lucia Fátima Campos Pedrosa
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Journal of Nutrition and Metabolism
Online Access:http://dx.doi.org/10.1155/2024/8821212
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author Layne Christina Benedito de Assis Lima
Séphora Louyse Silva Aquino
Aline Tuane Oliveira da Cunha
Talita do Nascimento Peixoto
Severina Carla Vieira Cunha Lima
Karine Cavalcanti Maurício Sena-Evangelista
Josivan Gomes Lima
Lucia Fátima Campos Pedrosa
author_facet Layne Christina Benedito de Assis Lima
Séphora Louyse Silva Aquino
Aline Tuane Oliveira da Cunha
Talita do Nascimento Peixoto
Severina Carla Vieira Cunha Lima
Karine Cavalcanti Maurício Sena-Evangelista
Josivan Gomes Lima
Lucia Fátima Campos Pedrosa
author_sort Layne Christina Benedito de Assis Lima
collection DOAJ
description Objectives. To evaluate the associations between individuals with and without changes in components of metabolic syndrome (MetS) and demographic, nutritional, and lifestyle factors. Methods. A cross-sectional study was conducted with 224 individuals followed-up at a public hospital in Northeast Brazil. We used National Cholesterol Education Program-Adult Treatment Panel III (NCEP) criteria to diagnose MetS. We assessed components of MetS as dependent variables, while sex, age, food consumption, smoking, alcohol intake, physical activity, anthropometric parameters, and sleep hours were independent variables. Results. Comparing individuals with and without changes in components of MetS, the logistic regression models revealed that female sex was predictive of increased waist circumference and low HDL-c levels while advanced age was predictive of increased blood pressure and blood glucose levels. BMI emerged as a predictor for waist circumference and a protective factor for triglyceride levels. In addition, potassium intake, physical activity, and sleep duration were protective against decreased HDL-c, elevated triglyceride, and elevated blood pressure levels, respectively. Conclusion. This study demonstrated that sex, age, BMI, dietary potassium intake, physical activity, and hours of sleep are factors to be targeted in public health actions for prevention and treatment of MetS.
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spelling doaj-art-b413b8a9ed53472888bec01b979d286a2025-08-20T02:23:12ZengWileyJournal of Nutrition and Metabolism2090-07322024-01-01202410.1155/2024/8821212Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle FactorsLayne Christina Benedito de Assis Lima0Séphora Louyse Silva Aquino1Aline Tuane Oliveira da Cunha2Talita do Nascimento Peixoto3Severina Carla Vieira Cunha Lima4Karine Cavalcanti Maurício Sena-Evangelista5Josivan Gomes Lima6Lucia Fátima Campos Pedrosa7Postgraduate Program in NutritionPostgraduate Program in Health SciencesCollaborative Researcher in Postgraduate Program in NutritionPostgraduate Program in Health SciencesPostgraduate Program in NutritionPostgraduate Program in NutritionDepartment of Clinical MedicinePostgraduate Program in NutritionObjectives. To evaluate the associations between individuals with and without changes in components of metabolic syndrome (MetS) and demographic, nutritional, and lifestyle factors. Methods. A cross-sectional study was conducted with 224 individuals followed-up at a public hospital in Northeast Brazil. We used National Cholesterol Education Program-Adult Treatment Panel III (NCEP) criteria to diagnose MetS. We assessed components of MetS as dependent variables, while sex, age, food consumption, smoking, alcohol intake, physical activity, anthropometric parameters, and sleep hours were independent variables. Results. Comparing individuals with and without changes in components of MetS, the logistic regression models revealed that female sex was predictive of increased waist circumference and low HDL-c levels while advanced age was predictive of increased blood pressure and blood glucose levels. BMI emerged as a predictor for waist circumference and a protective factor for triglyceride levels. In addition, potassium intake, physical activity, and sleep duration were protective against decreased HDL-c, elevated triglyceride, and elevated blood pressure levels, respectively. Conclusion. This study demonstrated that sex, age, BMI, dietary potassium intake, physical activity, and hours of sleep are factors to be targeted in public health actions for prevention and treatment of MetS.http://dx.doi.org/10.1155/2024/8821212
spellingShingle Layne Christina Benedito de Assis Lima
Séphora Louyse Silva Aquino
Aline Tuane Oliveira da Cunha
Talita do Nascimento Peixoto
Severina Carla Vieira Cunha Lima
Karine Cavalcanti Maurício Sena-Evangelista
Josivan Gomes Lima
Lucia Fátima Campos Pedrosa
Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle Factors
Journal of Nutrition and Metabolism
title Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle Factors
title_full Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle Factors
title_fullStr Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle Factors
title_full_unstemmed Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle Factors
title_short Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle Factors
title_sort associations between components of metabolic syndrome and demographic nutritional and lifestyle factors
url http://dx.doi.org/10.1155/2024/8821212
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