Guía de práctica clínica de síndrome metabólico

González-Chávez, Antonio; Gómez-Miranda, Joan Erick; Elizondo-Argueta, Sandra; Rangel-Mejía, María del Pilar; Sánchez-Zúñiga, Martín de Jesús

doi:10.24875/alad.19000381

Cited by 2 publications

(3 citation statements)

References 25 publications

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“…The concentrations of the metabolic and anthropometric variables show that the participants maintain healthy values in general, which indicates they do not have metabolic risk factors or have a very low prevalence of diagnostic criteria for metabolic syndrome according to various organizations [8,29]. These values are consistent with that reported by Murguía-Romero, et al in 2015 [30] where it was found (in a 19 years old population of a metropolitan area) the variables of waist, weight, BMI, fasting glucose, TG, TC and HDL-C presented practically the same values found in this study in men and women.…”

Section: Discussionmentioning

confidence: 99%

Sugar sweetened beverages consumption is associated with metabolic alterations in an independent manner of body mass index and body fat in young population.

Anaya-Loyola,

Camacho-Calderon,

Villagran-Herrera

et al. 2024

Preprint

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Background Sugar sweetened beverages (SSBs) consumption are widely associated with metabolic and anthropometric dysfunctions. The aim of this study was to examine the relationship between SSBs consumption and its attributable caloric intake with metabolic and anthropometric variables. We hypothesize that SSBs consumption is positively associated with metabolic dysfunction independently of the body composition. Methods A cross-sectional analysis was carried out in healthy university students, information was collected on metabolic and anthropometric measurements using standardized procedures as well as SSBs consumption patterns through validated questionnaire to describe associations and interactions. Results A total of 504 students, 208 men (41.3%) and 296 women (58.7%), with an average age of 19.0 years (SD = 1.5), were evaluated. The 35.4% of men and 32.6% of women presented body mass index (BMI) ≥ 25 kg / m2. The average SSBs consumption was 20.3 servings / week (SD = 14.0). A positive association was found between SSBs consumption and the concentrations of triglycerides (TG), low-density lipoprotein cholesterol (LDL- C) and total cholesterol (TC) in men, while women presented a positive association with visceral fat and LDL. Men consume more calories than women with an average of 2174.9 kcal / week (SD = 1380.0) from SSBs and 1526.9 kcal / week (SD = 1070.3) respectively (p <0.01). The general linear model do not show interactions between the body fat or the obesity diagnosis and the SSBs consumption for the variables TC, TG and LDL-C in men and very low density lipoprotein in women. Conclusion This study shows that the concentrations of the metabolic variables seem to be associated with the SSBs consumption independently of obesity or body fat.

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Section: Discussionmentioning

confidence: 99%

Sugar sweetened beverages consumption is associated with metabolic alterations in an independent manner of body mass index and body fat in young population.

Anaya-Loyola,

Camacho-Calderon,

Villagran-Herrera

et al. 2024

Preprint

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“…Definitions for outcomes were: i) Type 2 diabetes (T2D)—clinical history of diabetes treatment and/or glycosylated hemoglobin (HbA1c) ≥6.5% [ 20 ]; ii) hypertension (HTN)–clinical history of antihypertensive treatment and/or SBP ≥140 mm Hg or diastolic blood pressure DBP ≥90 mm Hg during 2 separate measurements [ 21 ]; and iii) metabolic syndrome (MetS)– 3 or more of the following (using the Harmonized criteria [ 22 ]: a) elevated waist circumference of ≥94 cm in men and ≥88 cm in women [ 23 ]; b) triglycerides ≥150 mg/dL or treatment with triglyceride-lowering drugs; c) reduced high density lipoprotein (HDL) <40 mg/dL in men and <50 mg/dL in women; d) elevated blood pressure ≥130/85 mmHg or treatment with antihypertensives; and e) fasting glucose ≥100 mg/dL or treatment with glucose-lowering drugs.…”

Section: Methodsmentioning

confidence: 99%

“…Definitions for other conditions were: i) Adiposity indicators [ 24 – 26 ]: a) overweight (body mass index ≥25) and obesity (BMI ≥30); b) abdominal obesity—waist circumference of ≥94 cm in men and ≥88 cm in women [ 23 ]; c) elevated weight-to-height (WHtR)—≥0.5; d) body fat (free fat mass) was determined using bioimpedance [ 27 ] with increased body fat defined as ≥25% for men and ≥30% for women; e) visceral adiposity index (VAI) was calculated using a model of adipose distribution corrected for triglyceride and HDL levels [ 23 ] with high VAI according to age defined as—age <30 –VAI >2.52; age ≥30 & <42 –VAI >2.23; age ≥42 & <52 –VAI >1.92; age ≥52 & <66 –VAI >1.93; age ≥66 –VAI >2; ii) elevated cholesterol ≥200 mg/dl; iii) elevated triglycerides ≥150 mg/dL; iv) low HDL <40 mg/dl in men and <50 mg/dl in women; v) insulin resistance–Homeostatic Model Assessment (HOMA) index >2.5 [ 28 , 29 ]; and vi) and previous medical diagnosis (personal history) of heart attack or stroke. Occupation was categorised into 3 categories: agricultural workers, non-agricultural workers, and household chores.…”

Section: Methodsmentioning

confidence: 99%

Cardiometabolic diseases and associated risk factors in transitional rural communities in tropical coastal Ecuador

Gualan,

Ster,

Veloz

et al. 2024

PLoS ONE

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Background There is a growing epidemic of chronic non-communicable diseases in low and middle-income countries, often attributed to urbanization, although there are limited data from marginalized rural populations. This study aimed to estimate prevalence of cardiometabolic diseases and associated risk factors in transitional rural communities. Methods A cross-sectional study of Montubio adults aged 18–94 years living in agricultural communities in a tropical coastal region of Ecuador. Data were collected by questionnaires and anthropometry, and fasting blood was analyzed for glucose, glycosylated hemoglobin, insulin, and lipid profiles. Population-weighted prevalences of diabetes, hypertension, and metabolic syndrome were estimated. Associations between potential risk factors and outcomes were estimated using multilevel regression techniques adjusted for age and sex. Results Out of 1,010 adults recruited, 931 were included in the analysis. Weighted prevalences were estimated for diabetes (20.4%, 95% CI 18.3–22.5%), hypertension (35.6%, 95% CI 29.0–42.1%), and metabolic syndrome (54.2%. 95% CI 47.0–61.5%) with higher prevalence observed in women. Hypertension prevalence increased with age while diabetes and metabolic syndrome peaked in the 6th and 7th decades of life, declining thereafter. Adiposity indicators were associated with diabetes, hypertension, and metabolic syndrome. Conclusion We observed an unexpectedly high prevalence of diabetes, hypertension, and metabolic syndrome in these marginalized agricultural communities. Transitional rural communities are increasingly vulnerable to the development of cardiometabolic risk factors and diseases. There is a need for targeted primary health strategies to reduce the burden of premature disability and death in these communities.

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Guía de práctica clínica de síndrome metabólico

Abstract: Guía de práctica clínica. Síndrome metabólico. Diagnóstico. Tratamiento timely treatment of MS as a preventive action for noncommunicable diseases; however, greater specific evidence about MS is necessary.

Cited by 2 publications

References 25 publications

Sugar sweetened beverages consumption is associated with metabolic alterations in an independent manner of body mass index and body fat in young population.

Sugar sweetened beverages consumption is associated with metabolic alterations in an independent manner of body mass index and body fat in young population.

Cardiometabolic diseases and associated risk factors in transitional rural communities in tropical coastal Ecuador

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