{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:42:20Z","timestamp":1780393340705,"version":"3.54.1"},"reference-count":24,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2023,7,30]],"date-time":"2023-07-30T00:00:00Z","timestamp":1690675200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Supersapiens"}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Sport Science"],"published-print":{"date-parts":[[2023,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>Using a large database of continuous glucose monitoring (CGM) data, this study aimed to gain insights into the association between pre\u2010exercise food ingestion timing and reactive hypoglycemia. A group of 6,761 users self\u2010reported 48,799 pre\u2010exercise food ingestion events and logged minute\u2010by\u2010minute CGM, which was used to detect reactive hypoglycemia (&lt;70\u2005mg\/dL) in the first 30\u2005min of exercise. A linear and a non\u2010linear binomial logistic regression model was used to investigate the association between food ingestion timing and the probability of experiencing reactive hypoglycemia. An analysis of variance was conducted to compare the predictive ability of the models. On average, reactive hypoglycemia was detected in 8.34\u2009\u00b1\u20093.04% of the total events, with &lt;15% of individuals experiencing hypoglycemia in &gt;20% of their events. The majority of the reactive hypoglycemia events were found with pre\u2010exercise food timing between \u223c30 and \u223c90\u2005min, with a peak at \u223c60\u2005min. The superior accuracy (62.05 <jats:italic>vs<\/jats:italic> 45.1%) and F\u2010score (0.75 <jats:italic>vs<\/jats:italic> 0.59) of the non\u2010linear <jats:italic>vs<\/jats:italic> the linear model were statistically superior (<jats:italic>P\u2009<\/jats:italic>&lt;\u20090.0001). These results support the notion of an unfavourable 30\u2010to\u201090\u2005min pre\u2010exercise food ingestion time window which can significantly impact the likelihood of reactive hypoglycemia in some individuals.<\/jats:p>","DOI":"10.1080\/17461391.2023.2233468","type":"journal-article","created":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T07:06:21Z","timestamp":1688972781000},"page":"2340-2348","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":12,"title":["Association between pre\u2010exercise food ingestion timing and reactive hypoglycemia: Insights from a large database of continuous glucose monitoring data"],"prefix":"10.1002","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1315-5573","authenticated-orcid":false,"given":"Andrea","family":"Zignoli","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering University of Trento Trento Italy"},{"name":"Supersapiens Inc. Atlanta GA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Federico Y.","family":"Fontana","sequence":"additional","affiliation":[{"name":"Department of Diabetes, Endocrinology, Nutritional Medicine, and Metabolism (UDEM) Bern University Hospital University of Bern Bern Switzerland"},{"name":"Supersapiens Inc. Atlanta GA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David J.","family":"Lipman","sequence":"additional","affiliation":[{"name":"Supersapiens Inc. Atlanta GA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristina","family":"Skroce","sequence":"additional","affiliation":[{"name":"Supersapiens Inc. 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