TY - JOUR
T1 - Maximising use of population data on cardiometabolic diseases
AU - Flood, David
AU - Guwatudde, David
AU - Damasceno, Albertino
AU - Manne-Goehler, Jennifer
AU - Davies, Justine I.
AU - Jaacks, Lindsay
N1 - Funding Information:
No support was received for writing this manuscript. Authors declare the following support or relationships within 36 months of submitting the work. DF reports a Pilot and Feasibility Grant funded by the Michigan Center for Diabetes Translational Research (US National Institutes of Health grant P30-DK092926) and a grant from the Swinmurn Foundation to implement a sustainable diabetes clinic in Guatemala. DF also reports volunteer affiliations with Wuqu' Kawoq and GlucoSalud. DF has received research fellowship funding from the National Clinician Scholars Program at the University of Michigan Institute for Healthcare Policy and Innovation. TB reports grants from the Alexander von Humboldt Foundation, Wellcome Trust, and US National Institutes of Health. RA reports contracts with Novo Nordisk, the Union for International Cancer Control, Novo Nordisk, Hoffman-La Roche, and Sloan Memorial Kettering Hospital. RA also reports payments or honorario from Merck and Hoffmann-La Roche. JD reports grants from UK MRC and National Institute for Health Research, and US National Institute of Health. All other authors declare no competing interests.
PY - 2022/3
Y1 - 2022/3
N2 - The worldwide burden of adult cardiometabolic diseases such as hypertension, diabetes, obesity, and dyslipidaemia continues its relentless increase. Scalingup the prevention, management, and control of cardiometabolic diseases is cost-effective but requires strong health systems. As we have previously arguedin this journal, building these health systems requires data that is accurate, timely, and transparent. Data from high-quality population-based surveys are particularlyessential, as they reflect the spectrum of adults living in communities, including those who are not reached by their health system
AB - The worldwide burden of adult cardiometabolic diseases such as hypertension, diabetes, obesity, and dyslipidaemia continues its relentless increase. Scalingup the prevention, management, and control of cardiometabolic diseases is cost-effective but requires strong health systems. As we have previously arguedin this journal, building these health systems requires data that is accurate, timely, and transparent. Data from high-quality population-based surveys are particularlyessential, as they reflect the spectrum of adults living in communities, including those who are not reached by their health system
U2 - 10.1016/S2213-8587(21)00328-4
DO - 10.1016/S2213-8587(21)00328-4
M3 - Comment/debate
SN - 2213-8587
VL - 10
SP - 154
EP - 157
JO - The Lancet Diabetes & Endocrinology
JF - The Lancet Diabetes & Endocrinology
IS - 3
ER -