All cause mortality and body mass index in a young Asian occupational cohort without baseline metabolic syndrome components: Methodological issues

2017 ◽  
Vol 229 ◽  
pp. 90 ◽  
Author(s):  
Saeid Safiri ◽  
Salman Khazaei ◽  
Kamyar Mansori ◽  
Mohadeseh Sani ◽  
Erfan Ayubi
2021 ◽  
pp. ASN.2020121694
Author(s):  
Sehoon Park ◽  
Semin Cho ◽  
Soojin Lee ◽  
Yaerim Kim ◽  
Sanghyun Park ◽  
...  

BackgroundThe association between variabilities in body mass index (BMI) or metabolic parameters and prognosis of patients with CKD has rarely been studied.MethodsIn this retrospective observational study on the basis of South Korea’s national health screening database, we identified individuals who received ≥3 health screenings, including those with persistent predialysis CKD (eGFR <60 ml/min per 1.73 m2 or dipstick albuminuria ≥1). The study exposure was variability in BMI or metabolic parameters until baseline assessment, calculated as the variation independent of the mean and stratified into quartiles (with Q4 the highest quartile and Q1 the lowest). We used Cox regression adjusted for various clinical characteristics to analyze risks of all-cause mortality and incident myocardial infarction, stroke, and KRT.ResultsThe study included 84,636 patients with predialysis CKD. Comparing Q4 versus Q1, higher BMI variability was significantly associated with higher risks of all-cause mortality (hazard ratio [HR], 1.66; 95% confidence interval [95% CI], 1.53 to 1.81), P [for trend] <0.001), KRT (HR, 1.20; 95% CI, 1.09 to 1.33; P<0.001), myocardial infarction (HR, 1.19; 95% CI, 1.05 to 1.36, P=0.003), and stroke (HR, 1.19; 95% CI, 1.07 to 1.33, P=0.01). The results were similar in the subgroups divided according to positive or negative trends in BMI during the exposure assessment period. Variabilities in certain metabolic syndrome components (e.g., fasting blood glucose) also were significantly associated with prognosis of patients with predialysis CKD. Those with a higher number of metabolic syndrome components with high variability had a worse prognosis.ConclusionsHigher variabilities in BMI and certain metabolic syndrome components are significantly associated with a worse prognosis in patients with predialysis CKD.


Circulation ◽  
2007 ◽  
Vol 115 (8) ◽  
pp. 1004-1011 ◽  
Author(s):  
Donald M. Lloyd-Jones ◽  
Kiang Liu ◽  
Laura A. Colangelo ◽  
Lijing L. Yan ◽  
Liviu Klein ◽  
...  

2018 ◽  
Vol 88 (5-6) ◽  
pp. 263-269 ◽  
Author(s):  
Fariba Koohdani ◽  
Gity Sotoudeh ◽  
Zahra Kalantar ◽  
Anahita Mansoori

Abstract. Background: Peroxisome proliferator-activated receptor γ (PPARγ) Pro12Ala polymorphism (rs1801282) has been associated with metabolic syndrome components in some studies. Moreover, the PPARγ gene may mediate the physiological response to dietary fat intake in a ligand-dependent manner. Methods: Metabolic syndrome components (body mass index, waist circumference, and lipid profile) were determined in 290 type 2 diabetes mellitus patients in a cross-sectional study. DNA genotyping for determining PPARγ Pro12Ala polymorphism was conducted using the polymerase chain reaction-restriction length polymorphism method. A semi-quantitative food frequency questionnaire was used to assess the participants’ dietary intakes in the previous year. Results: There were significant differences between the two genotype groups of PPARγ Pro12Ala polymorphism, Ala carriers (Pro/Ala + Ala/Ala) versus non-Ala carriers (Pro/Pro), in terms of mean body mass index (p = 0.04) and waist circumference (p = 0.02). Below the median percentage of energy from monounsaturated and polyunsaturated fatty acids, Ala carriers had a higher body mass index (p = 0.01) compared to non-Ala carriers. Furthermore, a significant interaction between this single-nucleotide polymorphism and polyunsaturated fatty acids intake on serum triglyceride levels (p = 0.01) was seen, and in higher polyunsaturated fatty acids intake (≥ median) Ala carriers had lower triglyceride levels than non-Ala carriers (p = 0.007). Conclusions: The findings of the current study support a significant association between PPARγ Pro12Ala polymorphism and metabolic syndrome components, and they suggest that this polymorphism can modulate the biological response of dietary fat intake on body mass index and triglyceride levels.


Metabolism ◽  
2008 ◽  
Vol 57 (4) ◽  
pp. 511-516 ◽  
Author(s):  
Andrea M. Grant ◽  
Finau K. Taungapeau ◽  
Kirsten A. McAuley ◽  
Rachael W. Taylor ◽  
Sheila M. Williams ◽  
...  

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