Nutrient patterns and their relationship to metabolic syndrome in Iranian adults

Abstract

We have found that a nutrient pattern which mostly characterized by dietary protein, carbohydrate, starch, glucose, fructose, sucrose, maltose was associated with a higher risk of MetS in both genders, while a pattern which was represent of copper, selenium, Vitamin A, riboflavin, vitamin B12 was associated with greater odds of Mets, in women.

Relationship between serum anti-heat shock protein 27 antibody levels and obesity

“…Anti-HSP27 antibody titers were determined in serum as previously described (16,17). (subtracting the absorbance of uncoated wells from the antigen-coated wells for each sample), the results were expressed in optical density units.…”

Lower protein and higher carbohydrate intake are related with altering metabolic syndrome components in elderly women: A cross-sectional study

“…Several studies have evaluated the relation between macronutrients and MetS (de Oliveira et al, 2012;Cho et al, 2017;Damiao et al, 2006;Chen et al, 2009;Freire et al, 2005;Ahola et al, 2017;Lee et al, 2016;Khayyatzadeh et al, 2016;Bruscato et al, 2010), and shown conflicting results. Some researchers have found associations between dietary fat and MetS (de Oliveira et al, 2012;Chen et al, 2009;Freire et al, 2005), while others have shown a relation between protein and/or carbohydrate dietary intake and MetS (Cho et al, 2017;Damiao et al, 2006;Lee et al, 2016;Khayyatzadeh et al, 2016). On the other hand, in people with type I diabetes diet composition was not associated with the presence of MetS (Ahola et al, 2017).…”

Mineral and vitamins consumption is associated with longer telomeres among US adults

“…Factors were retained for further analysis based on their natural interpretation and eigenvalues on the Scree test. 21,22 We computed the factor score for each nutrient pattern by summing up intakes of nutrients weighted by their factor loadings. 21,22 Each participant received a factor score for each identified pattern, accounting for the fact that simple linear dose--response relationships are unlikely to be found in nutritional epidemiology.…”

“…21,22 We computed the factor score for each nutrient pattern by summing up intakes of nutrients weighted by their factor loadings. 21,22 Each participant received a factor score for each identified pattern, accounting for the fact that simple linear dose--response relationships are unlikely to be found in nutritional epidemiology. 23 We computed age-, sex-, and energy -adjusted intakes of food groups and nutrients using analysis of covariance.…”