Assessment of the psychometric properties of the Persian version of the diabetes self-management questionnaire (DSMQ) in patients with type 2 diabetes

2022 ◽  
Author(s):  
Hamed Mirzaei ◽  
Mansour Siavash ◽  
Hossein Shahnazi ◽  
Mohammad Hadi Abasi ◽  
Ahmad Ali Eslami
Keyword(s):  
Type 2 Diabetes ◽  
Psychometric Properties ◽  
Self Management ◽  
Persian Version

On-Demand, App-Delivered Coaching to Enable Diabetes Self-Management in Adults with Type 2 Diabetes—A Feasibility Study

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 50-LB
Author(s):  
JOHN B. HERNANDEZ ◽  
AMY ARMENTO LEE ◽  
SCOTT ROBERTSON ◽  
CARA SILVER ◽  
AMIT MAJITHIA
Keyword(s):  
Type 2 Diabetes ◽  
Feasibility Study ◽  
Self Management ◽  
On Demand

2180-PUB: Integration of Continuous Glucose Monitoring in Diabetes Self-Management Education for Type 2 Diabetes Improves Glycemic Control

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2180-PUB
Author(s):  
ADDIE L. FORTMANN ◽  
ALESSANDRA BASTIAN ◽  
CODY J. LENSING ◽  
SHANE HOVERSTEN ◽  
KIMBERLY LUU ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Continuous Glucose Monitoring ◽  
Management Education ◽  
Glucose Monitoring ◽  
Self Management

Perceptions of Using Multiple Mobile Health Devices to Support Self‐Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study

2021 ◽  
Author(s):  
Allison A. Lewinski ◽  
Jacqueline Vaughn ◽  
Anna Diane ◽  
Angel Barnes ◽  
Matthew J. Crowley ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mobile Health ◽  
Descriptive Study ◽  
Self Management ◽  
Qualitative Descriptive

scholarly journals Mediating role diet self-efficacy plays in the relationship between social support and diet self-management for patients with type 2 diabetes

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Li Yang ◽  
Kun Li ◽  
Yan Liang ◽  
Qiuli Zhao ◽  
Dan Cui ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Social Support ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Self Efficacy ◽  
Self Management ◽  
Mediating Role ◽  
Diet Behavior ◽  
The Relationship

Abstract Background It has previously been established that patients who have strong barriers to their diet self-management are more likely to have weak social support; however, the key mechanisms underlying the association between these two variables have not yet been established. This study aims to examine the potential role that diet self-efficacy plays in the relationship between social support and diet behavior in patients with type 2 diabetes mellitus (T2DM). Methods It was a cross-sectional survey. Three hundred-eighty patients diagnosed with T2DM were recruited for this study from five community health centers in China. The Chronic Disease Resource Scale (CIRS), Cardiac Diet Self-efficacy Scale (CDSE), and Food Control Behavior Scale (FCBS) were used to estimate participants’ utilization of social resources, diet self-efficacy, and diet self-management, respectively. The data were analyzed utilizing structural equation modelling. Results The results suggest that both higher levels of social support and diet self-efficacy are related to higher levels of diet self-management. The mediating effect that diet self-efficacy has on the relationship between social support and diet self-management was significant (β = .30, p < .05), explaining 55.68% of the total effect of social support on diet self-management. Conclusions Diet self-efficacy plays a mediating role in the association between social support and diet behavior in patients with type 2 diabetes mellitus.

Type 2 diabetes self-management schemas across diverse health literacy levels: a qualitative investigation

2021 ◽  
pp. 1-21
Author(s):  
Julie Ayre ◽  
Carissa Bonner ◽  
Danielle M. Muscat ◽  
Sian Bramwell ◽  
Sharon McClelland ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Health Literacy ◽  
Self Management ◽  
Qualitative Investigation

scholarly journals Type 2 diabetes patients’ views on prevention of hypoglycaemia – a mixed methods study investigating self-management issues and self-identified causes of hypoglycaemia

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Stijn Crutzen ◽  
Tessa van den Born-Bondt ◽  
Petra Denig ◽  
Katja Taxis
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Mixed Methods ◽  
Food Intake ◽  
Mixed Methods Study ◽  
Self Management ◽  
Hypoglycaemic Event ◽  
Glucose Levels ◽  
Management Issues

Abstract Background Hypoglycaemia is a common and potentially avoidable adverse event in people with type 2 diabetes (T2D). It can reduce quality of life, increase healthcare costs, and reduce treatment success. We investigated self-management issues associated with hypoglycaemia and self-identified causes of hypoglycaemia in these patients. Methods In this mixed methods study qualitative semi-structured interviews were performed, which informed a subsequent quantitative survey in T2D patients. All interviews were audio recorded, transcribed verbatim and coded independently by two coders using directed content analysis, guided by the Theoretical Domains Framework. Descriptive statistics were used to quantify the self-management issues and causes of hypoglycaemia collected in the survey for the respondents that had experienced at least one hypoglycaemic event in the past. Results Sixteen participants were interviewed, aged 59–84 years. Participants perceived difficulties in managing deviations from routine, and they sometimes lacked procedural knowledge to adjust medication, nutrition or physical activity to manage their glucose levels. Grief and loss of support due to the loss of a partner interfered with self-management and lead to hypoglycaemic events. Work ethic lead some participant to overexerting themselves, which in turn lead to hypoglycaemic events. The participants had difficulties preventing hypoglycaemic events, because they did not know the cause, suffered from impaired hypoglycaemia awareness and/or did not want to regularly measure their blood glucose. When they did recognise a cause, they identified issues with nutrition, physical activity, stress or medication. In total, 40% of respondents reported regular stress as an issue, 24% reported that they regularly overestimated their physical abilities, and 22% indicated they did not always know how to adjust their medication. Around 16% of patients could not always remember whether they took their medication, and 42% always took their medication at regular times. Among the 83 respondents with at least one hypoglycaemic event, common causes for hypoglycaemia mentioned were related to physical activity (67%), low food intake (52%), deviations from routine (35%) and emotional burden (28%). Accidental overuse of medication was reported by 10%. Conclusion People with T2D experience various issues with self-managing their glucose levels. This study underlines the importance of daily routine and being able to adjust medication in relation to more physical activity or less food intake as well as the ability to reduce and manage stress to prevent hypoglycaemic events.

scholarly journals Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Brinnae Bent ◽  
Peter J. Cho ◽  
Maria Henriquez ◽  
April Wittmann ◽  
Connie Thacker ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Data Driven ◽  
Self Management ◽  
Noninvasive Method ◽  
Medical Interventions ◽  
Interstitial Glucose ◽  
Using Data ◽  
Glucose Prediction ◽  
Digital Biomarkers

AbstractPrediabetes affects one in three people and has a 10% annual conversion rate to type 2 diabetes without lifestyle or medical interventions. Management of glycemic health is essential to prevent progression to type 2 diabetes. However, there is currently no commercially-available and noninvasive method for monitoring glycemic health to aid in self-management of prediabetes. There is a critical need for innovative, practical strategies to improve monitoring and management of glycemic health. In this study, using a dataset of 25,000 simultaneous interstitial glucose and noninvasive wearable smartwatch measurements, we demonstrated the feasibility of using noninvasive and widely accessible methods, including smartwatches and food logs recorded over 10 days, to continuously detect personalized glucose deviations and to predict the exact interstitial glucose value in real time with up to 84% and 87% accuracy, respectively. We also establish methods for designing variables using data-driven and domain-driven methods from noninvasive wearables toward interstitial glucose prediction.

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