6 documents found, page 1 of 1
Worldwide trends in underweight and obesity from 1990 to 2022: A pooled analysi...
Robinson, L; Roccaldo, R; Rodrigues, D; Rodriguez Perez, MdC; Rodríguez Villamizar, LA; Rodríguez, AY; Roggenbuck, U; Rohloff, P; Rohner, FBackground: Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. Methods: We used data from 3663 population-based studies with 222 million participants that...
Height and body-mass index trajectories of school-aged children and adolescents...
Horimoto, AR; Hormiga, CM; Horta, BL; Houti, L; Howitt, C; Htay, TT; Htet, AS; Htike, MMT; Hu, Y; Huerta, JM; Huhtaniemi, IT; Huidumac Petrescu, CBackground: 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. Methods: For this pooled analysis, we used a database of cardiometabolic risk factors colla...
The global burden of childhood and adolescent cancer in 2017: an analysis of th...
Force, LM; Abdollahpour, I; Advani, SM; Agius, D; Ahmadian, E; Alahdab, F; Alam, T; Alebel, A; Alipour, V; Allen, CA; Almasi-Hashiani, A; Alvarez, EMBackground Accurate childhood cancer burden data are crucial for resource planning and health policy prioritisation. Model-based estimates are necessary because cancer surveillance data are scarce or non-existent in many countries. Although global incidence and mortality estimates are available, there are no previous analyses of the global burden of childhood cancer represented in disability-adjusted life-years...
Global, regional, and national age-sex-specific mortality for 282 causes of dea...
Roth, GA; Abate, D; Abate, KH; Abay, SM; Abbafati, C; Abbasi, N; Abbastabar, H; Abd-Allah, L; Abdela, J; Abdelalim, A; Abdollahpour, I; Abdulkader, RSBackground Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly availa...
Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-ba...
Zhou, B; Lu, Y; Hajifathalian, K; Bentham, J; Di Cesare, M; Danaei, G; Bixby, H; Cowan, MJ; Ali, MK; Taddei, C.; Lo, WC; Ninomiya, T; Noale, M; Noto, DBackground One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are aff ecting the number of adults with diabetes. Method...
Effects of diabetes definition on global surveillance of diabetes prevalence an...
Danaei, G; Fahimi, S; Lu, Y; Zhou, B; Hajifathalian, K; Di Cesare, M; Lo, WC; Reis-Santos, B; Cowan, MJ; Shaw, JE; Bentham, J; Mohammad, K; Mohan, VBackground Diabetes has been defi ned on the basis of diff erent biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA1c. We assessed the eff ect of diff erent diagnostic defi nitions on both the population prevalence of diabetes and the classifi cation of previously undiagnosed individuals as having diabetes versus not having diabetes in a po...