{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Tasevska N"],"funding":["National Heart, Lung, and Blood Institute (NHLBI)","US Department of Health and Human Services","NIDDK NIH HHS","NIA NIH HHS","NHLBI NIH HHS","National Cancer Institute","NCI NIH HHS","National Institutes of Health","WHI NIH HHS"],"pagination":["2126-2135"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6166207"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["187(10)"],"pubmed_abstract":["The inconsistent findings from epidemiologic studies relating total sugars (TS) consumption to cardiovascular disease (CVD) or type 2 diabetes (T2D) risk may be partly due to measurement error in self-reported intake. Using regression calibration equations developed based on the predictive biomarker for TS and recovery biomarker for energy, we examined the association of TS with T2D and CVD risk, before and after dietary calibration, in 82,254 postmenopausal women participating in the Women's Health Initiative Observational Study. After up to 16 years of follow-up (1993-2010), 6,621 T2D and 5,802 CVD incident cases were identified. The hazard ratio for T2D per 20% increase in calibrated TS was 0.94 (95% confidence interval (CI): 0.77, 1.15) in multivariable energy substitution, and 1.00 (95% CI: 0.85, 1.18) in energy partition models. Multivariable hazard ratios for total CVD were 0.97 (95% CI: 0.87, 1.09) from energy substitution, and 0.91 (95% CI: 0.80, 1.04) from energy partition models. Uncalibrated TS generated a statistically significant inverse association with T2D and total CVD risk in multivariable energy substitution and energy partition models. The lack of conclusive findings from our calibrated analyses may be due to the low explanatory power of the calibration equations for TS, which could have led to incomplete deattenuation of the risk estimates."],"journal":["American journal of epidemiology"],"pubmed_title":["Associations of Biomarker-Calibrated Intake of Total Sugars With the Risk of Type 2 Diabetes and Cardiovascular Disease in the Women's Health Initiative Observational Study."],"pmcid":["PMC6166207"],"funding_grant_id":["HHSN268201100004C","HHSN268201100003C","P30 DK079626","HHSN268201100002I","HHSN268201100001I","HHSN271201100004C","HHSN268201100004I","HHSN268201100002C","R01 CA119171","HHSN268201100046C","HHSN268201100001C"],"pubmed_authors":["Manson JE","Thomson CA","Tasevska N","Beasley JM","Liu S","Tinker LF","Howard BV","Shikany JM","Prentice RL","Kipnis V","Midthune D","Neuhouser ML","Pettinger M","Van Horn L","Potischman N"],"additional_accession":[]},"is_claimable":false,"name":"Associations of Biomarker-Calibrated Intake of Total Sugars With the Risk of Type 2 Diabetes and Cardiovascular Disease in the Women's Health Initiative Observational Study.","description":"The inconsistent findings from epidemiologic studies relating total sugars (TS) consumption to cardiovascular disease (CVD) or type 2 diabetes (T2D) risk may be partly due to measurement error in self-reported intake. Using regression calibration equations developed based on the predictive biomarker for TS and recovery biomarker for energy, we examined the association of TS with T2D and CVD risk, before and after dietary calibration, in 82,254 postmenopausal women participating in the Women's Health Initiative Observational Study. After up to 16 years of follow-up (1993-2010), 6,621 T2D and 5,802 CVD incident cases were identified. The hazard ratio for T2D per 20% increase in calibrated TS was 0.94 (95% confidence interval (CI): 0.77, 1.15) in multivariable energy substitution, and 1.00 (95% CI: 0.85, 1.18) in energy partition models. Multivariable hazard ratios for total CVD were 0.97 (95% CI: 0.87, 1.09) from energy substitution, and 0.91 (95% CI: 0.80, 1.04) from energy partition models. Uncalibrated TS generated a statistically significant inverse association with T2D and total CVD risk in multivariable energy substitution and energy partition models. The lack of conclusive findings from our calibrated analyses may be due to the low explanatory power of the calibration equations for TS, which could have led to incomplete deattenuation of the risk estimates.","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 Oct","modification":"2024-11-15T21:42:29.538Z","creation":"2019-10-11T07:16:43Z"},"accession":"S-EPMC6166207","cross_references":{"pubmed":["29868784"],"doi":["10.1093/aje/kwy115"]}}