TY - JOUR
T1 - Sugar-sweetened beverages, low/no-calorie beverages, fruit juices intake and risks of metabolic syndrome in adults
T2 - The SWEET project
AU - Naomi, Novita D.
AU - Brouwer-Brolsma, Elske M.
AU - Buso, Marion E.C.
AU - Soedamah-Muthu, Sabita S.
AU - Mavrogianni, Christina
AU - Harrold, Joanne A.
AU - Halford, Jason C.G.
AU - Raben, Anne
AU - Geleijnse, Johanna M.
AU - Manios, Yannis
AU - Feskens, Edith J.M.
N1 - Funding Information:
This European Union project under the acronym \u201CSWEET\u201D has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 774293 . The Lifelines Cohort Study initiative has been made possible by a subsidy from the Dutch Ministry of Health, Welfare and Sport, the Dutch Ministry of Economic Affairs, the University Medical Center Groningen (UMCG), Groningen University and the Provinces in the North of the Netherlands (Drenthe, Friesland, Groningen). The NQplus study was core funded by ZonMW (Zon MW, grant 91110030 ). The Feel4Diabetes-study was funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No 643708 . The funders had no role in the study design, data collection, data analysis and interpretation, writing the report, or the decision to submit the article for publication.
Publisher Copyright:
© 2024 The Authors
PY - 2024
Y1 - 2024
N2 - Background and aims: Metabolic syndrome (MetS) is an important determinant of cardiometabolic disease development, with excessive sugar intake as one of the key modifiable risk factors. However, evidence on the association between sugar-sweetened beverages (SSB), their replacement by low/no caloric beverages (LNCB), and MetS development is still limited. Methods and results: Data from participants’ of Lifelines (n = 58 220), NQPlus (n = 1094) and Feel4Diabetes (n = 342) were prospectively analysed. Dose-response associations were investigated using restricted cubic spline analyses (Lifelines). Cox proportional hazard regression analysis with robust variance was used to quantify associations between intakes of SSB, fruit juices (FJ) and LNCB and MetS incidence; data were pooled using random-effects models. Associations were adjusted for demographic, lifestyle and other dietary factors. In Lifelines, NQPlus, and Feel4Diabetes, 3853 (7 %), 47 (4 %), and 39 (11 %) participants developed MetS, respectively. Pooled analyses showed that each additional serving of SSB was associated with a 6 % higher risk of MetS (95%CI 1.02–1.10). A J-shaped association was observed for FJ and MetS, with a significant inverse association at moderate intake levels (IPR 0.89, 95 % CI 0.82–0.96). LNCB intake was not associated with MetS (IPR 1.59, 95%CI 0.74–2.43), but findings across studies were inconsistent (I2 94 %, p-value <0.01). Replacing SSB with FJ or LNCB did not show any associations with MetS incidence. Conclusion: SSB intake was adversely associated with MetS incidence. A J-shaped association was observed between FJ and MetS. For LNCB, results were inconsistent across studies and therefore findings must be interpreted cautiously.
AB - Background and aims: Metabolic syndrome (MetS) is an important determinant of cardiometabolic disease development, with excessive sugar intake as one of the key modifiable risk factors. However, evidence on the association between sugar-sweetened beverages (SSB), their replacement by low/no caloric beverages (LNCB), and MetS development is still limited. Methods and results: Data from participants’ of Lifelines (n = 58 220), NQPlus (n = 1094) and Feel4Diabetes (n = 342) were prospectively analysed. Dose-response associations were investigated using restricted cubic spline analyses (Lifelines). Cox proportional hazard regression analysis with robust variance was used to quantify associations between intakes of SSB, fruit juices (FJ) and LNCB and MetS incidence; data were pooled using random-effects models. Associations were adjusted for demographic, lifestyle and other dietary factors. In Lifelines, NQPlus, and Feel4Diabetes, 3853 (7 %), 47 (4 %), and 39 (11 %) participants developed MetS, respectively. Pooled analyses showed that each additional serving of SSB was associated with a 6 % higher risk of MetS (95%CI 1.02–1.10). A J-shaped association was observed for FJ and MetS, with a significant inverse association at moderate intake levels (IPR 0.89, 95 % CI 0.82–0.96). LNCB intake was not associated with MetS (IPR 1.59, 95%CI 0.74–2.43), but findings across studies were inconsistent (I2 94 %, p-value <0.01). Replacing SSB with FJ or LNCB did not show any associations with MetS incidence. Conclusion: SSB intake was adversely associated with MetS incidence. A J-shaped association was observed between FJ and MetS. For LNCB, results were inconsistent across studies and therefore findings must be interpreted cautiously.
KW - Metabolic markers
KW - Sugary beverages
KW - Sweetened beverages
KW - Sweeteners
U2 - 10.1016/j.numecd.2024.09.014
DO - 10.1016/j.numecd.2024.09.014
M3 - Journal article
C2 - 39448311
AN - SCOPUS:85207115222
JO - Nutrition, Metabolism & Cardiovascular Diseases
JF - Nutrition, Metabolism & Cardiovascular Diseases
SN - 0939-4753
ER -