Multiple linear regression analysis for the association between omentin-1 (independent variable), and bone mineral density, anthropometric measurements and biochemical parameters (dependent variables) in MS patients and healthy controls.

<p>*<i>Adjusted for age, BMI, and serum 25-OH vitamin D levels.</i></p><p><u>Abbreviations</u>: BMI, body mass index; 25-OH vitamin D, 25-hydroxy vitamin D; hs-CRP, high sensitive C-reactive protein; RANKL, the receptor activator of nuclear factor-κB ligand; OPG, osteoprotegerin; MMP-9, matrix metalloproteinase 9; BMD, bone mineral density.</p

Whole body bone scan on posterior view depicts a linear pattern of increased tracer accumulation at the level of the left lower ribs due to bed clothing contamination

<p><b>Copyright information:</b></p><p>Taken from "A simple way to distinguish bed clothing contamination in a whole body bone scan: a case report"</p><p>http://www.jmedicalcasereports.com/content/1/1/173</p><p>Journal of Medical Case Reports 2007;1():173-173.</p><p>Published online 5 Dec 2007</p><p>PMCID:PMC2245961.</p><p></p

This figure shows linear activity in the left shoulder region which is due to bed clothing contamination and which resolved after removing contaminated bed clothes

<p><b>Copyright information:</b></p><p>Taken from "A simple way to distinguish bed clothing contamination in a whole body bone scan: a case report"</p><p>http://www.jmedicalcasereports.com/content/1/1/173</p><p>Journal of Medical Case Reports 2007;1():173-173.</p><p>Published online 5 Dec 2007</p><p>PMCID:PMC2245961.</p><p></p

Posterior whole body bone scan shows linear increased activity at the region of the left lower ribs due to bed clothing contamination

<p><b>Copyright information:</b></p><p>Taken from "A simple way to distinguish bed clothing contamination in a whole body bone scan: a case report"</p><p>http://www.jmedicalcasereports.com/content/1/1/173</p><p>Journal of Medical Case Reports 2007;1():173-173.</p><p>Published online 5 Dec 2007</p><p>PMCID:PMC2245961.</p><p></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