Characteristics at follow-up by the percentage of total daily caloric intake from dinner.

<p>Characteristics at follow-up by the percentage of total daily caloric intake from dinner.</p

Association between outcomes at follow-up (dependent variables) and the percentage of total daily caloric intake from dinner in multiple logistic regression models.

<p>Association between outcomes at follow-up (dependent variables) and the percentage of total daily caloric intake from dinner in multiple logistic regression models.</p

Baseline lifestyle and dietary characteristics by the percentage of total daily caloric intake from dinner.

<p>Baseline lifestyle and dietary characteristics by the percentage of total daily caloric intake from dinner.</p

Baseline clinical and laboratory characteristics by the percentage of total daily caloric intake from dinner.

<p>Baseline clinical and laboratory characteristics by the percentage of total daily caloric intake from dinner.</p

Overall plot of observed (circles) and predicted values (solid line) of variation of resistin (with 95% confidence bands; dotted lines) according to the before–after change of vitamin C concentrations (end-of-study minus baseline values)

<p><b>Copyright information:</b></p><p>Taken from "Efficacy of Antioxidant Treatment in Reducing Resistin Serum Levels: A Randomized Study"</p><p>PLoS Clinical Trials 2007;2(5):-.</p><p>Published online 4 May 2007</p><p>PMCID:PMC1865087.</p><p> © 2007 Bo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</p> Solid black circles represent the experimental group; open grey circles represent the control group

Efficacy of Antioxidant Treatment in Reducing Resistin Serum Levels: A Randomized Study-0

<p><b>Copyright information:</b></p><p>Taken from "Efficacy of Antioxidant Treatment in Reducing Resistin Serum Levels: A Randomized Study"</p><p></p><p>PLoS Clinical Trials 2007;2(5):-.</p><p>Published online 4 May 2007</p><p>PMCID:PMC1865087.</p><p> © 2007 Bo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</p

For this analysis, all the variables were standardized (mean/overall standard deviation)

<p><b>Copyright information:</b></p><p>Taken from "Efficacy of Antioxidant Treatment in Reducing Resistin Serum Levels: A Randomized Study"</p><p></p><p>PLoS Clinical Trials 2007;2(5):-.</p><p>Published online 4 May 2007</p><p>PMCID:PMC1865087.</p><p> © 2007 Bo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</p

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions