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 .
Effect of national wealth on BMI: An analysis of 206,266 individuals in 70 low-, middle- and high-income countries
Background This study explores the relationship between BMI and national-wealth and the cross-level interaction effect of national-wealth and individual household-wealth using multilevel analysis . Methods Data from the World Health Survey conducted in 2002–2004 , across 70 low- , middle- and high-income countries was used . Participants aged 18 years and over were selected using multistage , stratified cluster sampling .  BMI was used as outcome variable . The potential determinants of individual-level BMI were participants ’ sex , age , marital-status , education , occupation , household-wealth and location(rural/urban ) at the individual-level . The country-level factors used were average national income ( GNI-PPP ) and income ine quality ( Gini-index ) . A two-level r and om-intercepts and fixed-slopes model structure with individuals nested within countries was fitted , treating BMI as a continuous outcome . Results The weighted mean BMI and st and ard-error of the 206,266 people from 70-countries was 23.90 ( 4.84 ) . All the low-income countries were below the 25.0 mean BMI level and most of the high-income countries were above . All wealthier quintiles of household-wealth had higher scores in BMI than lowest quintile . Each USD10000 increase in GNI-PPP was associated with a 0.4 unit increase in BMI . The Gini-index was not associated with BMI . All these variables explained 28.1 % of country-level , 4.9 % of individual-level and 7.7 % of total variance in BMI . The cross-level interaction effect between GNI-PPP and household-wealth was significant . BMI increased as the GNI-PPP increased in first four quintiles of household-wealth . However , the BMI of the wealthiest people decreased as the GNI-PPP increased . Conclusion Both individual-level and country-level factors made an independent contribution to the BMI of the people . Household-wealth and national-income had significant interaction effects
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 .