Analysis showed that soy products significantly reduced body weight , BMI , body fat percent and waist circumference in overweight or obese Asian population s ( −0.37 kg , P = 0.010 ; −0.27 kg/m2 , P = 0.042 ; −0.36 % , P = 0.032 ; −0.35 cm , P = 0.049 ) and more significant effects were observed in non-menopausal women reduced body weight ( −0.59 kg , P = 0.041 ) , BMI ( −0.59 , P = 0.041 ) and waist circumference ( −0.59 cm , P = 0.041 ) in overweight or obese population s. Conclusion : This meta- analysis showed that soy products  have weight loss effects , mainly due to soy protein , isoflavone and soy fiber
Background : The effect of soy products on the weight of overweight or obese people  is controversial , so we aim ed to conduct a systematic review and a meta- analysis of published r and omized controlled trials to analyze whether supplementation with soy products can help them to lose weight .
Predictors of Mortality Over 8 Years in Type 2 Diabetic Patients
OBJECTIVE To examine demographic , socioeconomic , and biological risk factors for all-cause , cardiovascular , and noncardiovascular mortality in patients with type 2 diabetes over 8 years and to construct mortality prediction equations . RESEARCH DESIGN AND METHODS Beginning in 2000 , survey and medical record information was obtained from 8,334 participants in Translating Research Into Action for Diabetes ( TRIAD ) , a multicenter prospect i ve observational study of diabetes care in managed care . The National Death Index was search ed annually to obtain data on deaths over an 8-year follow-up period ( 2000–2007 ) . Predictors examined included age , sex , race , education , income , smoking , age at diagnosis of diabetes , duration and treatment of diabetes , BMI , complications , comorbidities , and medication use . RESULTS There were 1,616 ( 19 % ) deaths over the 8-year period . In the most parsimonious equation , the predictors of all-cause mortality included older age , male sex , white race , lower income , smoking , insulin treatment , nephropathy , history of dyslipidemia , higher LDL cholesterol , angina/myocardial infa rct ion/other coronary disease/coronary angioplasty/bypass , congestive heart failure , aspirin , β-blocker , and diuretic use , and higher Charlson Index . CONCLUSIONS Risk of death can be predicted in people with type 2 diabetes using simple demographic , socioeconomic , and biological risk factors with fair reliability . Such prediction equations are essential for computer simulation models of diabetes progression and may , with further validation , be useful for patient management
Analysis showed that soy products significantly reduced body weight , BMI , body fat percent and waist circumference in overweight or obese Asian population s ( −0.37 kg , P = 0.010 ; −0.27 kg/m2 , P = 0.042 ; −0.36 % , P = 0.032 ; −0.35 cm , P = 0.049 ) and more significant effects were observed in non-menopausal women reduced body weight ( −0.59 kg , P = 0.041 ) , BMI ( −0.59 , P = 0.041 ) and waist circumference ( −0.59 cm , P = 0.041 ) in overweight or obese population s. Conclusion : This meta- analysis showed that soy products  have weight loss effects , mainly due to soy protein , isoflavone and soy fiber
Background : The effect of soy products on the weight of overweight or obese people  is controversial , so we aim ed to conduct a systematic review and a meta- analysis of published r and omized controlled trials to analyze whether supplementation with soy products can help them to lose weight .