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{"title"=>"Prolonged exercise in type 1 diabetes: Performance of a customizable algorithm to estimate the carbohydrate supplements to minimize glycemic imbalances", "type"=>"journal", "authors"=>[{"first_name"=>"Maria Pia", "last_name"=>"Francescato", "scopus_author_id"=>"6603803593"}, {"first_name"=>"Giuliana", "last_name"=>"Stel", "scopus_author_id"=>"6602713863"}, {"first_name"=>"Elisabetta", "last_name"=>"Stenner", "scopus_author_id"=>"12778391300"}, {"first_name"=>"Mario", "last_name"=>"Geat", "scopus_author_id"=>"8704906000"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84928803105", "pmid"=>"12829644", "sgr"=>"84928803105", "doi"=>"10.1371/journal.pone.0125220", "isbn"=>"1932-2968 (Electronic)\\r1932-2968 (Linking)", "issn"=>"19326203", "pui"=>"604027182"}, "id"=>"bb3fc72b-5268-33e4-8cf6-2a3c7e9df8a9", "abstract"=>"BACKGROUND: The objective of this study was to examine whether setting the low glucose alarm of a Guardian® REAL-Time continuous glucose monitoring system (CGMS) to 80 mg/dl for 3 days and providing instructions to users reduce the risk of hypoglycemia under free-living conditions in individuals with type 1 diabetes mellitus (T1DM).\\n\\nMETHODS: Fourteen participants with T1DM aged 26.1±6.0 years (mean±standard deviation) were fitted with a CGMS and assigned for 3 days to either an alarm [low and high blood glucose (BG) alarms set at 80 and 200 mg/dl, respectively] or no alarm condition, with each treatment administered to all participants following a counterbalanced design. All participants were given detailed instructions on how to respond appropriately to low glucose alarms.\\n\\nRESULTS: The CGMS with alarm reduced the incidence of hypoglycemia (CGMS readings≤65 mg/dl) by 44% as well as the time spent below this hypoglycemic threshold by 64% without increasing average BG levels. However, the CGMS with alarm had no effect on the incidence of symptomatic hypoglycemia.\\n\\nCONCLUSIONS: Short-term use of the CGMS with alarm, together with appropriate instructions for users, reduces the incidence and duration of hypoglycemia, but only to a limited extent, in part because it overestimates BG in the low glucose range.", "link"=>"http://www.mendeley.com/research/prolonged-exercise-type-1-diabetes-performance-customizable-algorithm-estimate-carbohydrate-suppleme", "reader_count"=>37, "reader_count_by_academic_status"=>{"Librarian"=>2, "Researcher"=>6, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>5, "Student > Master"=>8, "Other"=>4, "Student > Bachelor"=>6, "Unspecified"=>1}, "reader_count_by_user_role"=>{"Librarian"=>2, "Researcher"=>6, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>5, "Student > Master"=>8, "Other"=>4, "Student > Bachelor"=>6, "Unspecified"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>2, "Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>17, "Agricultural and Biological Sciences"=>2, "Sports and Recreations"=>10, "Social Sciences"=>1, "Computer Science"=>1, "Unspecified"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>17}, "Social Sciences"=>{"Social Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>10}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "group_count"=>0}

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• http://doi.org/10.1177/1932296820945372
• http://doi.org/10.1249/JSR.0000000000000327
• http://doi.org/10.5812/ijem.36091
• http://doi.org/10.1007/s00125-020-05183-8
• http://doi.org/10.2337/dc20-S013
• http://doi.org/10.1016/j.wem.2019.10.003
• http://doi.org/10.3389/fendo.2017.00033
• http://doi.org/10.1590/1517-869220182405170370
• http://doi.org/10.3390/nu9020164
• http://doi.org/10.1016/S1957-2557(17)30036-6
• http://doi.org/10.1177/1932296819826962
• http://doi.org/10.2337/dc21-S013
• http://doi.org/10.1089/dia.2016.0459
• http://doi.org/10.2337/dc18-0051
• http://doi.org/10.1016/j.nurpra.2015.09.010
• http://doi.org/10.2337/dc19-S013
• http://doi.org/10.1016/j.jdiacomp.2019.05.011
• http://doi.org/10.1007/s11428-015-0037-6
• http://doi.org/10.3389/fendo.2019.00326
• http://doi.org/10.1007/s11892-017-0918-8
• http://doi.org/10.1016/j.jcjd.2018.08.193
• http://doi.org/10.1016/j.jcjd.2017.10.008
• http://doi.org/10.1007/s11892-019-1216-4
• http://doi.org/10.2337/dci18-0023
• http://doi.org/10.2337/dc16-1728
• http://doi.org/10.1016/j.dsx.2019.07.028
• http://doi.org/10.1016/j.jcjd.2020.03.003
• http://doi.org/10.1016/j.jcjd.2020.05.014
• http://doi.org/10.1089/dia.2017.0392
• http://doi.org/10.3389/fphys.2019.01210
• http://doi.org/10.3390/nu11123017

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• {"id"=>"593346184833564672", "text"=>"Estimating CHO Supplements to < Glycemic Imbalances during prolonged Exercise in T1D\n\nhttp://t.co/dWWnAux9XW\n\nOf interest @west_danny", "created_at"=>"2015-04-29T09:28:48Z", "user"=>"Peter_Aldiss", "user_name"=>"Peter Aldiss", "user_profile_image"=>"http://pbs.twimg.com/profile_images/3636844540/773ac2013edc62ff7d5e90d3aa073dbd_normal.jpeg"}

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/2043309"], "description"=>"<p>Average glycemia (dots and thick line) throughout the trials is plotted against day-time; thin lines are the individual blood glucose levels at rest, before and throughout the 3-h exercise are also illustrated. Horizontal dashed lines: hypoglycemic and hyperglycemic thresholds.</p>", "links"=>[], "tags"=>["insulin concentrations", "Minimize Glycemic Imbalances Physical activity", "Type 1 diabetes", "exercise", "ecre", "Carbohydrates oxidation rate", "glycemic imbalances", "ns", "1DM", "carbohydrate", "algorithm"], "article_id"=>1397165, "categories"=>["Biological Sciences"], "users"=>["Maria Pia Francescato", "Giuliana Stel", "Elisabetta Stenner", "Mario Geat"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0125220.g001", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Blood_glucose_levels_throughout_the_trials_/1397165", "title"=>"Blood glucose levels throughout the trials.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-28 03:26:51"}
• {"files"=>["https://ndownloader.figshare.com/files/2043316"], "description"=>"<p>Average differences (full dots and thick line) between the actually administered amounts of carbohydrates for each of the 30 min exercise periods and the corresponding quantities estimated by the <i>Ecres</i> algorithm. Thin lines are the individual differences.</p>", "links"=>[], "tags"=>["insulin concentrations", "Minimize Glycemic Imbalances Physical activity", "Type 1 diabetes", "exercise", "ecre", "Carbohydrates oxidation rate", "glycemic imbalances", "ns", "1DM", "carbohydrate", "algorithm"], "article_id"=>1397172, "categories"=>["Biological Sciences"], "users"=>["Maria Pia Francescato", "Giuliana Stel", "Elisabetta Stenner", "Mario Geat"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0125220.g007", "stats"=>{"downloads"=>0, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Individual_differences_between_the_estimated_amounts_of_carbohydrates_and_the_actually_administered_quantities_/1397172", "title"=>"Individual differences between the estimated amounts of carbohydrates and the actually administered quantities.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-28 03:26:51"}
• {"files"=>["https://ndownloader.figshare.com/files/2043313"], "description"=>"<p>Relationship between the estimated carbohydrates oxidation rates over 30 min period of the exercise and corrected for the overall exercise duration, and the actually measured values. The relationship was statistically significant and close to the identity line (R = 0.877, p < 0.001, n = 54). Dashed lines are the 95% Confidence Limits. Dashed-dotted line is the identity line.</p>", "links"=>[], "tags"=>["insulin concentrations", "Minimize Glycemic Imbalances Physical activity", "Type 1 diabetes", "exercise", "ecre", "Carbohydrates oxidation rate", "glycemic imbalances", "ns", "1DM", "carbohydrate", "algorithm"], "article_id"=>1397169, "categories"=>["Biological Sciences"], "users"=>["Maria Pia Francescato", "Giuliana Stel", "Elisabetta Stenner", "Mario Geat"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0125220.g005", "stats"=>{"downloads"=>0, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_between_the_estimated_carbohydrates_oxidation_rate_and_the_corresponding_actually_measured_values_/1397169", "title"=>"Comparison between the estimated carbohydrates oxidation rate and the corresponding actually measured values.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-28 03:26:51"}
• {"files"=>["https://ndownloader.figshare.com/files/2043311"], "description"=>"<p>The relationship between estimated and measured insulin concentrations was statistically significant (R = 0.771, p < 0.001, n = 81). Dashed lines are the 95% Confidence Limits. Dashed-dotted line is the identity line.</p>", "links"=>[], "tags"=>["insulin concentrations", "Minimize Glycemic Imbalances Physical activity", "Type 1 diabetes", "exercise", "ecre", "Carbohydrates oxidation rate", "glycemic imbalances", "ns", "1DM", "carbohydrate", "algorithm"], "article_id"=>1397167, "categories"=>["Biological Sciences"], "users"=>["Maria Pia Francescato", "Giuliana Stel", "Elisabetta Stenner", "Mario Geat"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0125220.g003", "stats"=>{"downloads"=>3, "page_views"=>86, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relationship_between_insulin_concentrations_estimated_by_the_Ecres_algorithm_and_the_corresponding_laboratory_measured_values_/1397167", "title"=>"Relationship between insulin concentrations estimated by the <i>Ecres</i> algorithm and the corresponding laboratory-measured values.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-28 03:26:51"}
• {"files"=>["https://ndownloader.figshare.com/files/2043312"], "description"=>"<p>Average whole-body carbohydrates oxidation rates (full dots and thick line) are illustrated as a function of exercise duration. Thin lines are the individual oxidation rates.</p>", "links"=>[], "tags"=>["insulin concentrations", "Minimize Glycemic Imbalances Physical activity", "Type 1 diabetes", "exercise", "ecre", "Carbohydrates oxidation rate", "glycemic imbalances", "ns", "1DM", "carbohydrate", "algorithm"], "article_id"=>1397168, "categories"=>["Biological Sciences"], "users"=>["Maria Pia Francescato", "Giuliana Stel", "Elisabetta Stenner", "Mario Geat"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0125220.g004", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Whole_body_carbohydrates_oxidation_rates_throughout_the_exercise_/1397168", "title"=>"Whole-body carbohydrates oxidation rates throughout the exercise.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-28 03:26:51"}
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PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}

F1000Prime