Characterization of youth goal setting in the
            <scp>self‐management</scp>
            of type 1 diabetes and associations with
            <scp>HbA1c:</scp>
            The Flexible Lifestyle Empowering Change trial

Sarteau, Angelica Cristello; Crandell, Jamie; Seid, Michael; Kichler, Jessica C.; Maahs, David M.; Wang, Jessica; Mayer‐Davis, Elizabeth J.

doi:10.1111/pedi.13099

Cited by 8 publications

(10 citation statements)

References 36 publications

(120 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Eighty percent CGM use equates to 5.5 days of CGM use each week, or approximately 24 days of CGM use each month. Intervention research has shown that setting goals for CGM use may help to increase success 26 . Many youth become frustrated with CGMs after a while and perceive that CGMs interfere with their lives, 27 therefore, setting goals that build in scheduled breaks in CGM use (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Many youth become frustrated with CGMs after a while and perceive that CGMs interfere with their lives, 27 therefore, setting goals that build in scheduled breaks in CGM use (e.g. wearing a CGM for 6 days, with a 1‐day break in CGM use each week) may help to prevent CGM burnout and increase the likelihood of sustaining 80% CGM use across time 26,27 ; however, research is needed to confirm if scheduled breaks in use are an effective strategy to increase CGM use.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Real‐world performance of hybrid closed loop in youth, young adults, adults and older adults with type 1 diabetes: Identifying a clinical target for hybrid closed‐loop use

Berget

Aktürk

Messer

et al. 2021

Diabetes Obesity Metabolism

View full text Add to dashboard Cite

Aim To describe real‐world hybrid closed loop (HCL) use and glycaemic outcomes across the lifespan and identify a clinical threshold for HCL use associated with meeting the internationally recommended target of 70% sensor glucose time in range (TIR; 70‐180 mg/dL). Materials and Methods Mixed models examined MiniMed 670G HCL use and glycaemic outcomes in 276 people with type 1 diabetes from four age groups: youth (aged <18 years), young adults (18‐25 years), adults (26‐49 years) and older adults (≥50 years) for 1 year. ROC analysis identified the minimum percentage HCL use associated with meeting the TIR goal of 70%. Results HCL use at month 1 was 70.7% ± 2.9% for youth, 71.0% ± 3.8% for young adults, 78.9% ± 2.1% for adults and 84.7% ± 3.8% in older adults. HCL use declined significantly at 12 months to 49.3% ± 3.2% in youth (P < .001) and 55.7% ± 4.3% in young adults (P = .002). HCL use was sustained at 12 months in adults (76.4% ± 2.2%, P = .36) and older adults (80.4% ± 3.9%, P = .36). HCL use of 70.6% was associated with 70% TIR (sensitivity 58.3%, specificity 85%, AUC 0.77). Older age, 80% or higher continuous glucose monitor use and four or more blood glucose checks per day were associated with attaining the HCL‐use threshold. Conclusions HCL use of 70% or higher may be a useful target for clinicians to use to assist people with diabetes in attaining glycaemic goals. Youth may struggle with HCL use more than adults and require clinical intervention to help sustain HCL use across time.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Real‐world performance of hybrid closed loop in youth, young adults, adults and older adults with type 1 diabetes: Identifying a clinical target for hybrid closed‐loop use

Berget

Aktürk

Messer

et al. 2021

Diabetes Obesity Metabolism

View full text Add to dashboard Cite

show abstract

“…This is the first study to prospectively identify factors that predict individual daily variations in AYA's success in reaching their diabetes goals. Goal setting is a well‐known behavioural strategy to improve DSM 12,25 . Two of the 7 items of the Engagement Prediction Survey predicting daily DSM aligned with the concept of motivation, which was also identified as the strongest predictor of daily self‐management behaviour in prior research with a different population 10 .…”

Section: Discussionmentioning

confidence: 93%

Novel predictors of daily fluctuations in glycemia and self‐management in adolescents and young adults with type 1 diabetes

et al. 2022

View full text Add to dashboard Cite

Aims To understand morning biopsychosocial factors that predict glycemia, adherence, and goal attainment in adolescents and young adults (AYA) with type 1 diabetes (T1D) on a daily basis. Methods Eight‐eight AYA (mean 17.6 ± 2.6 years, 54% female, HbA1c 7.9 ± 1.4%, diabetes duration 8.5 ± 4.5 years) with T1D who use Continuous Glucose Monitoring (CGM) completed a 2‐week prospective study. Participants chose a self‐management goal to focus on during participation. For six days, participants prospectively completed a 25‐item Engagement Prediction Survey to assess biopsychosocial factors to predict daily diabetes outcomes and an end‐of‐day Goal Survey. Lasso and mixed‐model regression were used to determine items in the Engagement Prediction Survey most predictive of perceived goal attainment, CGM Time‐in‐Range (TIR, 70–180 mg/dl), sensor mean glucose, number of insulin boluses and hyperglycemia response (bolus within 30 min of high alert or glucose <200 mg/dl within 2 hours). Results A 7‐item model (including current glucose, planning/wanting to manage diabetes, wanting to skip self‐management, feeling good about self, health perception and support needs) explained 16.7% of the daily variance in TIR, 18.6% of mean sensor glucose, 2.1% of the number of boluses, 14% of hyperglycemia response, and 28.7% of goal attainment perceptions. The mean absolute change in day‐to‐day TIR was 16%, sensor glucose was 30 mg/dl, and the number of boluses was 2. AYA reported more positive Engagement Prediction Survey responses on mornings when they awoke with lower glucose levels. Conclusions Morning biopsychosocial state factors predict glycemic and adherence outcomes in AYA with diabetes and could be a novel intervention target for future behavioural interventions.

show abstract

“…Additional strategies include encouraging families to focus on aspects of disease management that are within their control by developing specific and attainable behavioral goals (e.g., daily medication reminders and attending follow‐up appointments). By emphasizing behavioral successes, providers can support patients and families in feeling accomplished with their participation in disease management, thereby reducing distress and impairment 9 …”

Section: Strategies For Addressing Wellbeing and Adherencementioning

confidence: 99%

Psychosocial considerations in pediatric autoimmune liver disease

Wellen

Lin

Stellway

2022

Clinical Liver Disease

View full text Add to dashboard Cite

Characterization of youth goal setting in the self‐management of type 1 diabetes and associations with HbA1c: The Flexible Lifestyle Empowering Change trial

Cited by 8 publications

References 36 publications

Real‐world performance of hybrid closed loop in youth, young adults, adults and older adults with type 1 diabetes: Identifying a clinical target for hybrid closed‐loop use

Real‐world performance of hybrid closed loop in youth, young adults, adults and older adults with type 1 diabetes: Identifying a clinical target for hybrid closed‐loop use

Novel predictors of daily fluctuations in glycemia and self‐management in adolescents and young adults with type 1 diabetes

Psychosocial considerations in pediatric autoimmune liver disease

Contact Info

Product

Resources

About