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The Association Between Diet Quality and Glycemic Outcomes Among People with Type 1 Diabetes.
Gillingham MB, Marak MC, Riddell MC, Calhoun P, Gal RL, Patton SR, Jacobs PG, Castle JR, Clements MA, Doyle FJ, Rickels MR, Martin CK. Gillingham MB, et al. Among authors: patton sr. Curr Dev Nutr. 2024 Mar 26;8(4):102146. doi: 10.1016/j.cdnut.2024.102146. eCollection 2024 Apr. Curr Dev Nutr. 2024. PMID: 38638557 Free PMC article.
OBJECTIVE: Type 1 Diabetes Exercise Initiative (T1DEXI) data were examined to evaluate the impact of daily diet quality on near-term glycemic control and interaction with exercise. METHODS: Using the Remote Food Photography Method, 8 d of dietary intake data were analyzed …
OBJECTIVE: Type 1 Diabetes Exercise Initiative (T1DEXI) data were examined to evaluate the impact of daily diet quality on near-term …
Online classification of unstructured free-living exercise sessions in people with Type 1 Diabetes.
Fushimi E, Aiello EM, Cho S, Riddell MC, Gal R, Martin C, Patton SR, Rickels M, Doyle Iii FJ. Fushimi E, et al. Among authors: patton sr. Diabetes Technol Ther. 2024 Feb 28. doi: 10.1089/dia.2023.0528. Online ahead of print. Diabetes Technol Ther. 2024. PMID: 38417016
The aim of this work was to develop a classification model that can classify an exercise event (structured or unstructured) as aerobic, interval or resistance for the purpose of incorporation into an automated insulin delivery (AID) system. METHODS: A long short-term memor …
The aim of this work was to develop a classification model that can classify an exercise event (structured or unstructured) as aerobic, inte …
An "All-Data-on-Hand" Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study.
Williams DD, Ferro D, Mullaney C, Skrabonja L, Barnes MS, Patton SR, Lockee B, Tallon EM, Vandervelden CA, Schweisberger C, Mehta S, McDonough R, Lind M, D'Avolio L, Clements MA. Williams DD, et al. Among authors: patton sr. JMIR Diabetes. 2023 Jul 18;8:e47592. doi: 10.2196/47592. JMIR Diabetes. 2023. PMID: 37224506 Free PMC article.
We asked whether we could apply deep learning, specifically the use of a long short-term memory (LSTM) model, to accurately predict the 180-day risk of DKA-related hospitalization for youth with type 1 diabetes (T1D). ...
We asked whether we could apply deep learning, specifically the use of a long short-term memory (LSTM) model, to accurately predict t …
Mealtime insulin BOLUS score increases prior to clinic visits in youth with type 1 diabetes.
McConville A, Noser AE, Clements MA, Patton SR. McConville A, et al. Among authors: patton sr. BMJ Open Diabetes Res Care. 2020 Jul;8(1):e001348. doi: 10.1136/bmjdrc-2020-001348. BMJ Open Diabetes Res Care. 2020. PMID: 32665313 Free PMC article.
INTRODUCTION: Multiple studies confirm the occurrence of 'white coat adherence' (WCA), a term describing an increase in engagement with self-care tasks just prior to a scheduled clinic appointment, across cohorts with multiple chronic conditions. ...
INTRODUCTION: Multiple studies confirm the occurrence of 'white coat adherence' (WCA), a term describing an increase in engagement wi …
Associations Between Objective Sleep Behaviors and Blood Glucose Variability in Young Children With Type 1 Diabetes.
Monzon AD, Marker AM, Noser AE, Clements MA, Patton SR. Monzon AD, et al. Among authors: patton sr. Ann Behav Med. 2021 Mar 16;55(2):144-154. doi: 10.1093/abm/kaaa040. Ann Behav Med. 2021. PMID: 32542309 Free PMC article.
BACKGROUND: Young children with Type 1 diabetes (T1D) are at risk for extreme blood glucose variability, a risk factor for suboptimal glycated hemoglobin A1c (HbA1c) and long-term health complications. We know that a reciprocal relationship exists between sleep and glycemi …
BACKGROUND: Young children with Type 1 diabetes (T1D) are at risk for extreme blood glucose variability, a risk factor for suboptimal glycat …
An Intervention to Reduce Hypoglycemia Fear in Parents of Young Kids with Type 1 Diabetes Through Video-Based Telemedicine (REDCHiP): Trial Design, Feasibility, and Acceptability.
Marker AM, Monzon AD, Nelson EL, Clements MA, Patton SR. Marker AM, et al. Among authors: patton sr. Diabetes Technol Ther. 2020 Jan;22(1):25-33. doi: 10.1089/dia.2019.0244. Epub 2019 Nov 13. Diabetes Technol Ther. 2020. PMID: 31517512 Free PMC article. Clinical Trial.
We assessed acceptability with treatment satisfaction surveys and qualitative interviews (from a subset of completers; n = 10) about intervention acceptability, facilitators, and challenges. Results: Study attrition was 21%, including long-term follow-up (16% before or dur …
We assessed acceptability with treatment satisfaction surveys and qualitative interviews (from a subset of completers; n = 10) about interve …
Parental depression and diabetes-specific distress after the onset of type 1 diabetes in children.
Noser AE, Dai H, Marker AM, Raymond JK, Majidi S, Clements MA, Stanek KR, Patton SR. Noser AE, et al. Among authors: patton sr. Health Psychol. 2019 Feb;38(2):103-112. doi: 10.1037/hea0000699. Epub 2018 Dec 20. Health Psychol. 2019. PMID: 30570283 Free PMC article.
., daily T1D management and worries about the future and long-term complications) and the moderating role of parental depression in parents of children newly diagnosed with T1D. ...We used multilevel modeling to examine 12-month trajectories of daily and long-term T …
., daily T1D management and worries about the future and long-term complications) and the moderating role of parental depression in p …
Sleep and type 1 diabetes in children and adolescents: Proposed theoretical model and clinical implications.
Monzon A, McDonough R, Meltzer LJ, Patton SR. Monzon A, et al. Among authors: patton sr. Pediatr Diabetes. 2019 Feb;20(1):78-85. doi: 10.1111/pedi.12797. Epub 2018 Dec 4. Pediatr Diabetes. 2019. PMID: 30447038 Review.
The field of T1D sleep research currently operates under the broad notion that sleep behaviors impact treatment adherence, which ultimately lead to worse long-term health outcomes. This model however does not explain how behavior influences T1D management and sleep outcome …
The field of T1D sleep research currently operates under the broad notion that sleep behaviors impact treatment adherence, which ultimately …
Adherence to glycemic monitoring in diabetes.
Patton SR. Patton SR. J Diabetes Sci Technol. 2015 May;9(3):668-75. doi: 10.1177/1932296814567709. Epub 2015 Jan 14. J Diabetes Sci Technol. 2015. PMID: 25591853 Free PMC article. Review.
Fortunately, some promising intervention strategies have been identified that promote at least short-term improvements in patients' adherence to SMBG. These include education, problem solving, contingency management, goal setting, cognitive behavioral therapy, and motivati …
Fortunately, some promising intervention strategies have been identified that promote at least short-term improvements in patients' a …
Average daily risk range as a measure for clinical research and routine care.
Patton SR, Clements MA. Patton SR, et al. J Diabetes Sci Technol. 2013 Sep 1;7(5):1370-5. doi: 10.1177/193229681300700529. J Diabetes Sci Technol. 2013. PMID: 24124966 Free PMC article. Review.
To expand the utility of ADRR, future research should examine the validity of existing risk cutoff scores for pediatric patients, determine if ADRR cutoff scores need to be modified for CGM data, and investigate whether patients' ADRR scores also relate to the development of long …
To expand the utility of ADRR, future research should examine the validity of existing risk cutoff scores for pediatric patients, determine …