Monitoring of Pediatric Type 1 Diabetes

Marks, Brynn E.; Wolfsdorf, Joseph I.

doi:10.3389/fendo.2020.00128

Cited by 38 publications

(26 citation statements)

References 119 publications

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“…CGMs are minimally invasive devices that use a subcutaneous sensor to measure interstitial glucose concentrations every 5–15 min [20] . CGMs consist of three parts- a subcutaneous sensor that detects changes in interstitial glucose, a transmitter which relays the signal from the sensor to a receiver, and a receiver or smart device that displays the glucose value to the user.…”

Section: Cgmmentioning

confidence: 99%

Practical aspects of diabetes technology use: Continuous glucose monitors, insulin pumps, and automated insulin delivery systems

Marks¹,

Williams²,

Sherwood³

et al. 2022

Journal of Clinical & Translational Endocrinology

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Highlights Individuals with CFRD have unique diabetes physiology and comorbidities. Perceptions of diabetes technology use in the CF community are positive. Limited evidence supports the clinical effectiveness of these technologies in CFRD. Automated insulin delivery improves A1c and decreases patient burden in T1D. Proof of benefits to device use in CFRD may improve insurance coverage and increase sustained use.

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Section: Cgmmentioning

confidence: 99%

Practical aspects of diabetes technology use: Continuous glucose monitors, insulin pumps, and automated insulin delivery systems

Marks¹,

Williams²,

Sherwood³

et al. 2022

Journal of Clinical & Translational Endocrinology

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“…The sensors can also be uncomfortable or painful or fall out, which is of significant concern given the high cost of the technology and difficulties with insurance coverage [24,171,[173][174][175][176][177][178][179]. There can also be an annoyance or alarm fatigue with frequent alerts about glucose and sensor status, potentially causing patients to feel overwhelmed or embarrassed, especially in public environments [28,171,172,177,[180][181][182]. Furthermore, the abundance of information provided by CGMs may cause anxiety, frustration, and self-thoughts of failure or that they have bad blood glucose patterns, especially if they have difficulty interpreting the substantial amount of data provided by CGM [24,28,174].…”

Section: Limitations Of Cgmmentioning

confidence: 99%

Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies

Ray¹,

McMichael²,

Rivera-Santana³

et al. 2021

JMIR Diabetes

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Type 1 diabetes (T1D) is one of the most common chronic childhood diseases, and its prevalence is rapidly increasing. The management of glucose in T1D is challenging, as youth must consider a myriad of factors when making diabetes care decisions. This task often leads to significant hyperglycemia, hypoglycemia, and glucose variability throughout the day, which have been associated with short- and long-term medical complications. At present, most of what is known about each of these complications and the health behaviors that may lead to them have been uncovered in the clinical setting or in laboratory-based research. However, the tools often used in these settings are limited in their ability to capture the dynamic behaviors, feelings, and physiological changes associated with T1D that fluctuate from moment to moment throughout the day. A better understanding of T1D in daily life could potentially aid in the development of interventions to improve diabetes care and mitigate the negative medical consequences associated with it. Therefore, there is a need to measure repeated, real-time, and real-world features of this disease in youth. This approach is known as ecological momentary assessment (EMA), and it has considerable advantages to in-lab research. Thus, this viewpoint aims to describe EMA tools that have been used to collect data in the daily lives of youth with T1D and discuss studies that explored the nuances of T1D in daily life using these methods. This viewpoint focuses on the following EMA methods: continuous glucose monitoring, actigraphy, ambulatory blood pressure monitoring, personal digital assistants, smartphones, and phone-based systems. The viewpoint also discusses the benefits of using EMA methods to collect important data that might not otherwise be collected in the laboratory and the limitations of each tool, future directions of the field, and possible clinical implications for their use.

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“… 31 Regarding resources, young people equipped with glycemic meters are more likely to perform the SMBG and have better adherence to SMBG. 32 Young people with a lower degree of diabetes-related worry show better adherence to SMBG in the U.S. 27 Young people with T1DM who experience low level of pain during the SMBG were found to have better adherence to SMBG in Riyadh. 25 …”

Section: Introductionmentioning

confidence: 98%

Factors Associated with Adherence to Self-Monitoring of Blood Glucose Among Young People with Type 1 Diabetes in China: A Cross-Sectional Study

Lv¹,

Luo²,

Long³

et al. 2021

PPA

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Background Self-monitoring of blood glucose (SMBG) plays a crucial role in the maintenance of glycemic control in young people with type 1 diabetes mellitus (T1DM), but most of them do not perform SMBG as recommended. Few studies comprehensively explored factors that correlate with adherence to SMBG among this population on the basis of a framework. Hence, the aims of this study were to describe adherence to SMBG among young people with T1DM in China and explore its associating factors according to the Self and Family Management (SFM) framework. Methods A cross-sectional study was conducted on young people with T1DM in Hunan Province of China from July to August 2020. Based on the SFM framework, self-reported questionnaires were organized for the collection of data on adherence to SMBG, socio-demographic and clinical factors, resources, health care system, and personal factors. Factors associated with adherence to SMBG were determined through multivariate logistic regression analysis. Results A total of 165 young people were invited, of which 122 (73.9%) completed the questionnaires. The mean age was 12.41 years (SD = 3.18), and the proportion of young people who adhered to SMBG was 53.3%. Multivariate logistic regression analysis revealed that children aged 8–12 years (OR = 0.188, P = 0.002), from two-parent families (OR = 0.232, P = 0.019), and with better personal factors (eg, with more information of SMBG, OR = 1.072, P = 0.020; lower diabetes-related worry, OR = 0.917, P = 0.031; higher level of pain during SMBG, OR = 1.852, P = 0.001), had better adherence to SMBG. Conclusion Nearly half of the young people with T1DM were not adherent to SMBG in China. Clinicians need to pay more attention to adolescents from single-parent families with regard to their adherence to SMBG. Providing management strategies of SMBG, including delivering SMBG-related information, decreasing diabetes-related worry, and relieving pain related to SMBG, may improve adherence.

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Monitoring of Pediatric Type 1 Diabetes

Cited by 38 publications

References 119 publications

Practical aspects of diabetes technology use: Continuous glucose monitors, insulin pumps, and automated insulin delivery systems

Practical aspects of diabetes technology use: Continuous glucose monitors, insulin pumps, and automated insulin delivery systems

Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies

Factors Associated with Adherence to Self-Monitoring of Blood Glucose Among Young People with Type 1 Diabetes in China: A Cross-Sectional Study

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