Red but not white meat consumption is associated with metabolic syndrome, insulin resistance and lipid peroxidation in Brazilian middle-aged men

Background The influence of diet on metabolic syndrome and oxidative stress are not completely known. Design This cross-sectional study assessed the association of red meat and white meat consumption with metabolic syndrome, insulin resistance and lipid peroxidation in Brazilian middle-aged men. Methods A total of 296 subjects (age: 50.55.0 years, body mass index: 25.83.5kg/m(2)) were evaluated. Anthropometry, lifestyle features, blood biochemical parameters, diagnosis of metabolic syndrome, homeostatic model assessment for insulin resistance, a lipid peroxidation marker (oxidized low-density lipoprotein) and triglycerides:high-density lipoprotein cholesterol ratio were assessed. Dietary intake was estimated by a food frequency questionnaire. Results The subjects included in the highest tertile red meat (81.5g/d) and saturated fatty acid from red meat consumption (4.3g/d) had higher occurrence of central obesity (nearly 60%, p<0.01), hypertriglyceridaemia (nearly 43%, p<0.01) and metabolic syndrome (35%, p<0.01). They also had higher values of homeostatic model assessment for insulin resistance, oxidized low-density lipoprotein, and triglycerides:high-density lipoprotein cholesterol ratio, regardless of interfering factors. There were no associations of highest white meat tertile (39.4g/d) and saturated fatty acid from white meat (1.0g/d) consumption with the assessed parameters (p>0.05). Conclusions Red meat consumption was cross-sectionally associated with the occurrence of central obesity, hypertriglyceridaemia, and metabolic syndrome as well as with higher homeostatic model assessment for insulin resistance, oxidized low-density lipoprotein concentrations and triglycerides:high-density lipoprotein cholesterol ratio. The content of saturated fatty acid from red meat consumption may be a factor that contributed to this relationship, while white meat consumption was not associated with metabolic syndrome and the assessed biomarkers.