1. We defined BMI–biomarker discordance as the residuals from the BMI-based predictions while adjusting for age and smoking status. To define this discordance, we used data at recruitment from the European ancestry subset of the UK Biobank (UKB) (N = 145,111) as our discovery dataset ...
Wang says that the increase in metabolic disease and other weight-related conditions could have a catastrophic toll on public health -- and on the public pocket. If these predictions come to bear, Wang and his colleagues estimate that the additional overweight and obesity burden could add up to...
: We projected the obesity prevalence in Mexico to 2030 and 2040. These predictions were estimated using a microsimulation model of body weight, informed by projections of energy intake by socioeconomic. We defined 3 obesity goals based on expert opinion and the average obesity prevalence from the...
Detailed estimates of the years of ill health and lives lost between the ages of 30 years and 75 years because of excess weight are shown for the subregions of the world in figure 2. These predictions are based on detailed estimates of the prevalence of various disorders and deaths from them...
Although this approach also necessitates using past data to forecast future trends, it allows for a better model fit than a regression of linear time trends alone and should produce more-accurate predictions of future obesity prevalence and related healthcare costs....
Predictions suggest that one billion people globally will be obese by 2030, wherein one in five women and one in seven men will be obese [4]. In the USA, the prevalence of obesity rose from 30.5% in 1999–2000 to 41.9% in 2017–20 [5]. A dramatic increase in obesity has been ...
Trend in obesity prevalence in European adult cohort populations during follow-up since 1996 and their predictions to 2015. PLoS One. 2011;6(11):e27455. Article Google Scholar Vekic J, et al. Obesity and dyslipidemia. Metabolism. 2019;92:71–81. Article CAS PubMed Google Scholar ...
Spatiotemporal predictions of obesity prevalence in Chinese children and adolescents: based on analyses of obesogenic environmental variability and Bayesian modelEpidemiologyHealth policyLifestyle modificationObesityRisk factorsTo find variations in Chinese obesogenic environmental priorities from 2000 to 2011, ...
02:32 |Maybe those predictions of half of our patients becoming obese by 2030 will be … wrong, and maybe that will also translate into a reduction in the incidence of cancer. I thought this was an interesting study, and certainly more will come on that topic. I am sure. ...
In an early study on HFD-induced obesity rats, TBW and FFM predictions made using BIA were, on average, within 5% of the values determined using the tritiated water3H2O) dilution technique18. Further, the BIA technique showed a BMI-dependent decrease in phase angle values of Italian patients...