Important Food Sources of Sugars and Type 2 Diabetes: A Systematic Review and Meta-Analysis of Prospective Cohort Studies

2018 ◽  
Vol 42 (5) ◽  
pp. S31 ◽  
Author(s):  
Tauseef Khan ◽  
Mobushra Tayyiba ◽  
Sonia Blanco Mejia ◽  
Fei Au-Yeung ◽  
Cyril Kendall ◽  
...  
2017 ◽  
Vol 189 (20) ◽  
pp. E711-E720 ◽  
Author(s):  
Christine S. Tsilas ◽  
Russell J. de Souza ◽  
Sonia Blanco Mejia ◽  
Arash Mirrahimi ◽  
Adrian I. Cozma ◽  
...  

Diabetes Care ◽  
2021 ◽  
Vol 44 (9) ◽  
pp. 2173-2181 ◽  
Author(s):  
Seyed Mohammad Mousavi ◽  
Yahya Jalilpiran ◽  
Elmira Karimi ◽  
Dagfinn Aune ◽  
Bagher Larijani ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e024171 ◽  
Author(s):  
Sabrina Ayoub-Charette ◽  
Qi Liu ◽  
Tauseef A Khan ◽  
Fei Au-Yeung ◽  
Sonia Blanco Mejia ◽  
...  

ObjectiveSugar-sweetened beverages (SSBs) are associated with hyperuricaemia and gout. Whether other important food sources of fructose-containing sugars share this association is unclear.DesignTo assess the relation of important food sources of fructose-containing sugars with incident gout and hyperuricaemia, we conducted a systematic review and meta-analysis of prospective cohort studies.MethodsWe searched MEDLINE, Embase and the Cochrane Library (through 13 September 2017). We included prospective cohort studies that investigated the relationship between food sources of sugar and incident gout or hyperuricaemia. Two independent reviewers extracted relevant data and assessed the risk of bias. We pooled natural-log transformed risk ratios (RRs) using the generic inverse variance method with random effects model and expressed as RR with 95% confidence intervals (CIs). The overall certainty of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation system.ResultsWe identified three studies (1 54 289 participants, 1761 cases of gout), comparing the highest with the lowest level of exposure for SSBs, fruit juices and fruits. No reports were found reporting incident hyperuricaemia. Fruit juice and SSB intake showed an adverse association (fruit juice: RR=1.77, 95% CI 1.20 to 2.61; SSB: RR=2.08, 95% CI 1.40 to 3.08), when comparing the highest to lowest intake of the most adjusted models. There was no significant association between fruit intake and gout (RR 0.85, 95% CI 0.63 to 1.14). The strongest evidence was for the adverse association with SSB intake (moderate certainty), and the weakest evidence was for the adverse association with fruit juice intake (very low certainty) and lack of association with fruit intake (very low certainty).ConclusionThere is an adverse association of SSB and fruit juice intake with incident gout, which does not appear to extend to fruit intake. Further research is needed to improve our estimates.Trial registration numberNCT02702375; Results.


2018 ◽  
Vol 149 (1) ◽  
pp. 106-113 ◽  
Author(s):  
Aurélie Ballon ◽  
Manuela Neuenschwander ◽  
Sabrina Schlesinger

ABSTRACT Background Epidemiologic studies have indicated that breakfast skipping is associated with risk of type 2 diabetes. However, the shape of the dose-response relation and the influence of adiposity on this association have not been reported. Objective We investigated the association between breakfast skipping and risk of type 2 diabetes by considering the influence of the body mass index (BMI). Methods In this systematic review and meta-analysis, PubMed and Web of Science were searched up to August 2017. Prospective cohort studies on breakfast skipping and risk of type 2 diabetes in adults were included. Summary RRs and 95% CIs, without and with adjustment for BMI, were estimated with the use of a random-effects model in pairwise and dose-response meta-analyses. Results In total 6 studies, based on 96,175 participants and 4935 cases, were included. The summary RR for type 2 diabetes comparing ever with never skipping breakfast was 1.33 (95% CI: 1.22, 1.46, n = 6 studies) without adjustment for BMI, and 1.22 (95% CI: 1.12, 1.34, n = 4 studies) after adjustment for BMI. Nonlinear dose-response meta-analysis indicated that risk of type 2 diabetes increased with every additional day of breakfast skipping, but the curve reached a plateau at 4–5 d/wk, showing an increased risk of 55% (summary RR: 1.55; 95% CI: 1.41, 1.71). No further increase in risk of type 2 diabetes was observed after 5 d of breakfast skipping/wk (P for nonlinearity = 0.08). Conclusions This meta-analysis provides evidence that breakfast skipping is associated with an increased risk of type 2 diabetes, and the association is partly mediated by BMI.


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