Faculty Opinions recommendation of Effects of glycemic load on metabolic risk markers in subjects at increased risk of developing metabolic syndrome.

Author(s):  
Mikael Fogelholm
2015 ◽  
Vol 12 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Aristides M. Machado-Rodrigues ◽  
Neiva Leite ◽  
Manuel J. Coelho e Silva ◽  
João Valente-dos-Santos ◽  
Raul A. Martins ◽  
...  

Background:Associations of metabolic syndrome (MetS) with lifestyle behaviors in youth is potentially important for identifying subgroups at risk and encourage interventions. This study evaluates the associations among the clustering of metabolic risk factors and moderate-to-vigorous physical activity (MVPA) in youth.Methods:The sample comprised 522 girls and 402 boys (N = 924) aged 11 to 17 years. Height, weight, waist circumference (WC), fasting glucose, high-density lipoprotein cholesterol, triglycerides, and blood pressures were measured. Cardiorespiratory fitness (CRF) was assessed using the 20-m shuttle run test. MVPA was estimated with a 3-day diary. Outcome variables were statistically normalized and expressed as z scores. A clustered metabolic risk score was computed as the mean of z scores. Multiple linear regression was used to test associations between metabolic risk and MVPA by sex, adjusted for age, WC, and CRF.Results:After adjustment for potential confounders, MVPA was inversely associated with the clustering of metabolic risk factors in girls, but not in boys; in addition, after adjusting for WC, the statistical model of that relationship was substantially improved in girls.Conclusion:MVPA was independently associated with increased risk of MetS in girls. Additional efforts are needed to encourage research with different analytical approach and standardization of criteria for MetS in youth.


2018 ◽  
Vol 66 (4) ◽  
pp. 565-570
Author(s):  
Jairo Alejandro Fernández-Ortega ◽  
Luz Amelia Hoyos-Cuartas ◽  
Flor Alba Ruiz-Arias

Introduction: For decades, low levels of muscle strength (MS) have been associated with an increased risk of mortality from all causes.Objective: To identify the correlation between values of different manifestations of MS and metabolic risk markers (MRM) in young university students.Materials and methods: The study included 50 participants (37 men, 13 women), aged between 19 and 23 years. The grip strength of both hands and the muscular strength of upper and lower limbs were evaluated, as well as height, weight, body mass index (BMI), skin folds, HDL, cholesterol and triglycerides.Results: No significant associations between MRM and the different manifestations of MS were found.Conclusion: MS and MRM are separately associated with mortality risk factors and with suffering from cardiovascular diseases


2006 ◽  
Vol 42 ◽  
pp. 163-176 ◽  
Author(s):  
Erik H. Serné ◽  
Renate T. de Jongh ◽  
Etto C. Eringa ◽  
Richard G. Ijzerman ◽  
Michiel P. de Boer ◽  
...  

The metabolic syndrome defines a clustering of metabolic risk factors that confers an increased risk for type 2 diabetes and cardiovascular disease. The metabolic syndrome seems to have multiple etiological factors and microvascular dysfunction may be one potential factor explaining the clustering of multiple metabolic risk factors including hypertension, obesity, insulin resistance and glucose intolerance. Microvascular dysfunction may increase not only peripheral vascular resistance and blood pressure, but may also decrease insulin-mediated glucose uptake in muscle. The present article summarizes some of the data concerning the role of microvascular dysfunction in the metabolic syndrome.


Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1394
Author(s):  
Cecile Borgi ◽  
Mandy Taktouk ◽  
Mona Nasrallah ◽  
Hussain Isma’eel ◽  
Hani Tamim ◽  
...  

High dietary glycemic index (GI) and glycemic load (GL) were suggested to increase the risk of metabolic syndrome (MetS). This study aims to estimate dietary GI and GL in a sample of healthy Lebanese adults and examine their association with MetS and its individual abnormalities. The study uses data from a community-based survey of 501 Lebanese urban adults. Dietary intake was assessed using a food frequency questionnaire. Biochemical, anthropometric, and blood pressure measurements were obtained. Subjects with previous diagnosis of chronic disease, metabolic abnormalities, or with incomplete data or implausible energy intakes were excluded, yielding a sample of 283. Participants were grouped into quartiles of GI and GL. Multivariate logistic regression analyses were performed. Average dietary GI and GL were estimated at 59.9 ± 8 and 209.7 ± 100.3. Participants belonging to the highest GI quartile were at increased risk of having MetS (odds ratio (OR) = 2.251, 95% CI:1.120–4.525) but this association lost significance with further adjustments. Those belonging to the second quartile of GI had significantly lower odds of having hyperglycemia (OR: 0.380, 95% CI:0.174–0.833). No associations were detected between GL and MetS. The study contributes to the body of evidence discussing the relationship between GI, GL, and MetS, in a nutrition transition context.


2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
H. Day-Poulsen ◽  
P. Thomas ◽  
J.-Y. Loze ◽  
L. Fortan ◽  
W. Kerselaers ◽  
...  

Background:Metabolic syndrome - a significant risk factor for cardiovascular morbidity and mortality - is twice as prevalent among psychiatric patients (21-63%) as general populations (20-24%). Although there is an inherent illness-associated metabolic risk, medications do contribute. Atypicals vary in metabolic risk from high (clozapine, olanzapine), moderate (risperidone, quetiapine) to low (aripiprazole, ziprasidone) (ADA, 2004). Few studies have comprehensively measured cardiovascular risk or directly compared antipsychotics. Limited controlled data show that antipsychotic-induced metabolic abnormalities may be reversible, rationalizing the switch to a lower-risk agent (DeNayer, 2004). Non-HDL-cholesterol encompasses all atherogenic cholesterols and provides a marker of CV risk: an increase of 29ng/dL in diabetics is associated with 50% increased risk (Jiang, 2004). Non-HDL-cholesterol is independently associated with increased risk of non-fatal myocardial infarction and angina.Aim:This study will provide cross-European data from 13 countries on MS rates in schizophrenia and will assess antipsychotic metabolic profiles and benefits of antipsychotic switching.Methods:In this ongoing, 16-week, open-label, European multicentre study, 258 schizophrenia patients treated for ≥3 months with olanzapine, risperidone or quetiapine and who have MS will be randomized to switch to aripiprazole (Week 1: 5mg/day; Week 2: 10mg/day; flexible 10-30mg/day after Week 2) or continue with previous antipsychotic. the primary objective is to demonstrate superiority of aripiprazole versus atypicals on mean percentage change of fasting non-HDL-cholesterol from baseline to Week 16.Conclusion:This study will provide the first direct and comprehensive comparison of metabolic risk with various atypicals in Europe and should impact the future management of schizophrenia.


2011 ◽  
Vol 26 (S2) ◽  
pp. 1385-1385
Author(s):  
A. Foldemo ◽  
U. Ösby ◽  
T. Holmberg

BackgroundThe International Diabetes Federation (IDF)(2004) has defined criteria for metabolic syndrome and in patients with schizophrenia four of ten meet the criteria for having the syndrome. Its important too study more about the influence of metabolic syndrome because there association with high morbidity and increased risk of influence on patients health and the treatment itself The aim of the study was to investigate metabolic risk factors influence on quality of life. The method was a prospective cohort study from specialized psychiatric outpatients departments in Sweden. The study recruits consecutively patients diagnosed with schizophrenia and other long-term psychotic disorders (ICD10). A prospective population based study is serving as a control group. Patients are assessed with a psychiatric questionnaire witch included CGI and GAF. Health-related quality of life assessed using the questionnaire EQ5D both in patients and population and health status with BMI, smoke habits and alcohol consume.ResultsThe results on patients (n = 777) and population (n = 7238) showed significant differences in lower EQ5D Index in man especially in younger age. The diagnosis of schizophrenia and schizoaffective were the most common in the patient group (n = 481). In patients was nearly 50% non alcoholic users compared to the control group (=population) were the non consumers was 18%. BMI over 35 were more common in the patient group than in the population 13.2% versus 2.8%.ConclusionIn conclusion there were differences in quality of life between metabolic risk patients with psychosis and the control group.


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