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Food Consumption and Metabolic Risks in Young University Students
The purpose of this study was to analyze the association between components of the diet, metabolic risks, and the serum concentrations of adiponectin and interleukin-6 (IL-6). With prior informed consent, an analytical cross-sectional study was carried out with 72 students in their first year of uni...
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Published in: | International journal of environmental research and public health 2021-12, Vol.19 (1), p.449 |
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creator | González-Torres, Sughey González-Silva, Napoleón Pérez-Reyes, Ángel Anaya-Esparza, Luis Miguel Sánchez-Enríquez, Sergio Vargas-Becerra, Patricia N Villagrán, Zuamí García-García, Maritza R |
description | The purpose of this study was to analyze the association between components of the diet, metabolic risks, and the serum concentrations of adiponectin and interleukin-6 (IL-6). With prior informed consent, an analytical cross-sectional study was carried out with 72 students in their first year of university. The subjects had a mean age of 19.2 ± 1.0 years and body mass index of 23.38 ± 4.2, and they were mainly women (80.6%). Sociodemographic, anthropometric, and dietary data and metabolic risk factors were evaluated, and biochemical parameters and adipocytokines were also considered. The data were analyzed using means, ranges, and correlations, as well as principal components. In general, the protein, fat, and sodium intake were higher than the international dietary recommendations, and deficiencies in vitamins B5 and E, potassium, phosphorus, selenium, and zinc were observed. The most frequently observed metabolic risks were insulin resistance and hypoalphalipoproteinemia. IL-6 was positively correlated with lipid and protein intake. Adiponectin showed a positive correlation with high-density lipoprotein and a negative correlation with insulin, weight, and waist, while the adiponectin pattern was similar to that of vitamins E and A, which decreased with increasing intake of calories, macronutrients, and sodium. In general, a hypercaloric diet that was high in protein, fat, and sodium and deficient in vitamins, mainly fat-soluble, was associated with a lower concentration of adiponectin and a higher concentration of IL-6, which favor the presence of metabolic risks, including insulin resistance. Intervention studies are required to evaluate the dietary intake of metabolic markers in young people without comorbidities, which will lay the foundation for implementing prevention strategies. |
doi_str_mv | 10.3390/ijerph19010449 |
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With prior informed consent, an analytical cross-sectional study was carried out with 72 students in their first year of university. The subjects had a mean age of 19.2 ± 1.0 years and body mass index of 23.38 ± 4.2, and they were mainly women (80.6%). Sociodemographic, anthropometric, and dietary data and metabolic risk factors were evaluated, and biochemical parameters and adipocytokines were also considered. The data were analyzed using means, ranges, and correlations, as well as principal components. In general, the protein, fat, and sodium intake were higher than the international dietary recommendations, and deficiencies in vitamins B5 and E, potassium, phosphorus, selenium, and zinc were observed. The most frequently observed metabolic risks were insulin resistance and hypoalphalipoproteinemia. IL-6 was positively correlated with lipid and protein intake. Adiponectin showed a positive correlation with high-density lipoprotein and a negative correlation with insulin, weight, and waist, while the adiponectin pattern was similar to that of vitamins E and A, which decreased with increasing intake of calories, macronutrients, and sodium. In general, a hypercaloric diet that was high in protein, fat, and sodium and deficient in vitamins, mainly fat-soluble, was associated with a lower concentration of adiponectin and a higher concentration of IL-6, which favor the presence of metabolic risks, including insulin resistance. Intervention studies are required to evaluate the dietary intake of metabolic markers in young people without comorbidities, which will lay the foundation for implementing prevention strategies.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph19010449</identifier><identifier>PMID: 35010709</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Abdomen ; Adiponectin ; Adolescent ; Adult ; Body fat ; Body mass ; Body Mass Index ; Body size ; Calories ; Chronic illnesses ; Cross-Sectional Studies ; Cytokines ; Diet ; Dietary intake ; Eating behavior ; Energy Intake ; Female ; Food ; Food consumption ; Gene expression ; Glucose ; High density lipoprotein ; Humans ; Hyperglycemia ; Hypoalphalipoproteinemia ; Informed consent ; Insulin ; Insulin resistance ; Interleukin 6 ; Lipids ; Metabolism ; Nutrition research ; Obesity ; Oils & fats ; Phosphorus ; Population ; Potassium ; Proteins ; Risk analysis ; Risk factors ; Selenium ; Sodium ; Statistical analysis ; Students ; Universities ; University students ; Values ; Vitamins ; Weight control ; Womens health ; Young Adult ; Young adults</subject><ispartof>International journal of environmental research and public health, 2021-12, Vol.19 (1), p.449</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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With prior informed consent, an analytical cross-sectional study was carried out with 72 students in their first year of university. The subjects had a mean age of 19.2 ± 1.0 years and body mass index of 23.38 ± 4.2, and they were mainly women (80.6%). Sociodemographic, anthropometric, and dietary data and metabolic risk factors were evaluated, and biochemical parameters and adipocytokines were also considered. The data were analyzed using means, ranges, and correlations, as well as principal components. In general, the protein, fat, and sodium intake were higher than the international dietary recommendations, and deficiencies in vitamins B5 and E, potassium, phosphorus, selenium, and zinc were observed. The most frequently observed metabolic risks were insulin resistance and hypoalphalipoproteinemia. IL-6 was positively correlated with lipid and protein intake. Adiponectin showed a positive correlation with high-density lipoprotein and a negative correlation with insulin, weight, and waist, while the adiponectin pattern was similar to that of vitamins E and A, which decreased with increasing intake of calories, macronutrients, and sodium. In general, a hypercaloric diet that was high in protein, fat, and sodium and deficient in vitamins, mainly fat-soluble, was associated with a lower concentration of adiponectin and a higher concentration of IL-6, which favor the presence of metabolic risks, including insulin resistance. Intervention studies are required to evaluate the dietary intake of metabolic markers in young people without comorbidities, which will lay the foundation for implementing prevention strategies.</description><subject>Abdomen</subject><subject>Adiponectin</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Body fat</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Calories</subject><subject>Chronic illnesses</subject><subject>Cross-Sectional Studies</subject><subject>Cytokines</subject><subject>Diet</subject><subject>Dietary intake</subject><subject>Eating behavior</subject><subject>Energy Intake</subject><subject>Female</subject><subject>Food</subject><subject>Food consumption</subject><subject>Gene expression</subject><subject>Glucose</subject><subject>High density lipoprotein</subject><subject>Humans</subject><subject>Hyperglycemia</subject><subject>Hypoalphalipoproteinemia</subject><subject>Informed consent</subject><subject>Insulin</subject><subject>Insulin resistance</subject><subject>Interleukin 6</subject><subject>Lipids</subject><subject>Metabolism</subject><subject>Nutrition research</subject><subject>Obesity</subject><subject>Oils & fats</subject><subject>Phosphorus</subject><subject>Population</subject><subject>Potassium</subject><subject>Proteins</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Selenium</subject><subject>Sodium</subject><subject>Statistical analysis</subject><subject>Students</subject><subject>Universities</subject><subject>University students</subject><subject>Values</subject><subject>Vitamins</subject><subject>Weight control</subject><subject>Womens health</subject><subject>Young Adult</subject><subject>Young 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Consumption and Metabolic Risks in Young University Students</title><author>González-Torres, Sughey ; González-Silva, Napoleón ; Pérez-Reyes, Ángel ; Anaya-Esparza, Luis Miguel ; Sánchez-Enríquez, Sergio ; Vargas-Becerra, Patricia N ; Villagrán, Zuamí ; García-García, Maritza R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-a602fd153000be99bbe51ba366baeb58adb5bd1c229eae854038069bf4a7d0513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abdomen</topic><topic>Adiponectin</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Body fat</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Calories</topic><topic>Chronic illnesses</topic><topic>Cross-Sectional Studies</topic><topic>Cytokines</topic><topic>Diet</topic><topic>Dietary intake</topic><topic>Eating behavior</topic><topic>Energy 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Health</addtitle><date>2021-12-31</date><risdate>2021</risdate><volume>19</volume><issue>1</issue><spage>449</spage><pages>449-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>The purpose of this study was to analyze the association between components of the diet, metabolic risks, and the serum concentrations of adiponectin and interleukin-6 (IL-6). With prior informed consent, an analytical cross-sectional study was carried out with 72 students in their first year of university. The subjects had a mean age of 19.2 ± 1.0 years and body mass index of 23.38 ± 4.2, and they were mainly women (80.6%). Sociodemographic, anthropometric, and dietary data and metabolic risk factors were evaluated, and biochemical parameters and adipocytokines were also considered. The data were analyzed using means, ranges, and correlations, as well as principal components. In general, the protein, fat, and sodium intake were higher than the international dietary recommendations, and deficiencies in vitamins B5 and E, potassium, phosphorus, selenium, and zinc were observed. The most frequently observed metabolic risks were insulin resistance and hypoalphalipoproteinemia. IL-6 was positively correlated with lipid and protein intake. Adiponectin showed a positive correlation with high-density lipoprotein and a negative correlation with insulin, weight, and waist, while the adiponectin pattern was similar to that of vitamins E and A, which decreased with increasing intake of calories, macronutrients, and sodium. In general, a hypercaloric diet that was high in protein, fat, and sodium and deficient in vitamins, mainly fat-soluble, was associated with a lower concentration of adiponectin and a higher concentration of IL-6, which favor the presence of metabolic risks, including insulin resistance. 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subjects | Abdomen Adiponectin Adolescent Adult Body fat Body mass Body Mass Index Body size Calories Chronic illnesses Cross-Sectional Studies Cytokines Diet Dietary intake Eating behavior Energy Intake Female Food Food consumption Gene expression Glucose High density lipoprotein Humans Hyperglycemia Hypoalphalipoproteinemia Informed consent Insulin Insulin resistance Interleukin 6 Lipids Metabolism Nutrition research Obesity Oils & fats Phosphorus Population Potassium Proteins Risk analysis Risk factors Selenium Sodium Statistical analysis Students Universities University students Values Vitamins Weight control Womens health Young Adult Young adults |
title | Food Consumption and Metabolic Risks in Young University Students |
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