0000000000226810
AUTHOR
Maria Del Cristo Rodriguez-perez
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…
Rising rural body-mass index is the main driver of the global obesity epidemic in adults
Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions…
Author response: Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
Clinical applicability and cost-effectiveness of DIABSCORE in screening for type 2 diabetes in primary care
Aims: To evaluate the applicability and cost-effectiveness of a clinical risk score (DIABSCORE) to screen for type 2 diabetes in primary care patients. Methods: Multicenter cross-sectional study of 10,508 adult no previously diagnosed with diabetes, in 2 Spanish regions (Canary Islands and Valencian Community). The variables comprising DIABSCORE were age, waist to height ratio, family history of diabetes and gestational diabetes. ROC curves were obtained; the diabetes prevalences odds ratios (HbA1c >= 6.5%) between patients exposed and not exposed to DIABSCORE >= 100, and to fasting blood glucose >= 126 mg/dL were calculated. The opinions of both the professionals and the patients concernin…
Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants
BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents.
Repositioning of the global epicentre of non-optimal cholesterol
Publisher's version (útgefin grein)
A century of trends in adult human height
Article
Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants
Copyright © NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY.
Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants.
Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA1c. We assessed the effect of different diagnostic definitions on both the population prevalence of diabetes and the classification of previously undiagnosed individuals as having diabetes versus not having diabetes in a pooled analysis of data from population-based health examination surveys in different regions.