scholarly journals Does Self-Efficacy Mediate the Link Between Impulse Control and Diabetes Adherence?

2020 ◽  
Vol 45 (4) ◽  
pp. 445-453
Author(s):  
Karol Silva ◽  
Victoria A Miller
Keyword(s):  
Type 1 Diabetes ◽  
Multilevel Modeling ◽  
Self Efficacy ◽  
Impulse Control ◽  
Self Care ◽  
Sequential Design ◽  
Mediation Model ◽  
Multilevel Mediation ◽  
The Relationship

Abstract Objective The goal of this study was to test the hypothesis that diabetes self-efficacy mediates the relationship between impulse control and type 1 diabetes (T1D) management from ages 8 to 18 years, using multilevel modeling. Methods Participants included 117 youth with T1D and their parents. Youth (aged 8–16 years at baseline) and parents were assessed 5 times over 2 years. Using a cohort sequential design, we first estimated the growth trajectory of adherence from age 8 to 18 years, then specified a multilevel mediation model using impulse control as the main predictor, diabetes self-efficacy as the mediator, and changes in adherence (both within- and between-individuals) as the outcome. Results According to youth-reported adherence only, self-efficacy partially mediated the within-person effect of impulse control on adherence. On occasions when youth reported increases in impulse control, they tended to report higher adherence, and this was, in part, due to increases in youths’ perceived self-efficacy. Self-efficacy accounted for approximately 21% of the within-person relationship between impulse control and youth-reported adherence. There was no association between impulse control and adherence between-individuals. Impulse control and self-efficacy were not related to parent-reported adherence. Conclusion Environments that enrich youth with confidence in their own diabetes-related abilities may benefit self-care behaviors in youth with T1D, but such increases in youths’ perceived competence do not fully account for, or override, the behavioral benefits of impulse control. Efforts to improve adherence in youth with T1D will benefit from consideration of both impulse control and self-efficacy.

scholarly journals Identification of Psychological Factors Associated with Adherence to Self-Care Behaviors amongst Patients with Type 1 Diabetes

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Dácil Alvarado-Martel ◽  
M. Ángeles Ruiz Fernández ◽  
Maribel Cuadrado Vigaray ◽  
Armando Carrillo ◽  
Mauro Boronat ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Self Efficacy ◽  
Diabetes Management ◽  
Self Care ◽  
Therapeutic Education ◽  
Anxiety And Depression ◽  
Personality Variables ◽  
Age Range ◽  
Lower Adherence

Purpose. To explore the factors involved in adherence to self-care behaviors in patients with type 1 diabetes. Materials and Methods. Patients with type 1 diabetes (age range: 14-71 years) were invited to participate at seven Spanish hospitals. They completed a dossier which recorded sociodemographic and clinical variables and also measured personality variables, emotional state, beliefs, and concerns regarding the illness, by means of questionnaires. Results. A total of 428 patients with type 1 diabetes were included (58% women, age 36 (11.8) years, diabetes duration 18.3 (10.2) years, HbA1c 7.9 +/-1.3%). A total of 60.1% of patients found it difficult to follow the treatment recommendations for the care of their disease. The reasons given were mood (25.2%), lack of motivation (13.4%), work (12%), and economic difficulties (3.8%). Other personal reasons were reported by 5.7%. Motivation, training in diabetes management, importance the patient attributed to the disease, and self-efficacy were the variables that predicted adherence to self-care behaviors, together accounting for 32% of its variance. Anxiety and depression were highly prevalent in this study population (57.1% and 23.1%, respectively) and were associated with lower adherence. Conclusion. In the present study assessing patients with type 1 diabetes, motivation, training in diabetes management, beliefs regarding the disease, and self-efficacy were the main contributors to adherence to self-care behaviors. On the other hand, anxiety and depression were highly prevalent and associated with lower adherence. Thus, supplementing therapeutic education with strategies designed to raise levels of motivation, discussion of beliefs about the disease, and encouragement of self-efficacy might be a useful way to increase patient involvement in self-care.

scholarly journals Impulse Control, Diabetes-Specific Self-Efficacy, and Diabetes Management Among Emerging Adults With Type 1 Diabetes

2012 ◽  
Vol 38 (3) ◽  
pp. 247-254 ◽  
Author(s):  
N. W. Stupiansky ◽  
K. M. Hanna ◽  
J. E. Slaven ◽  
M. T. Weaver ◽  
J. D. Fortenberry
Keyword(s):  
Type 1 Diabetes ◽  
Emerging Adults ◽  
Self Efficacy ◽  
Impulse Control ◽  
Diabetes Management ◽  
Control Diabetes

scholarly journals The Role of Self-regulation Failures and Self-care in the Link Between Daily Sleep Quality and Blood Glucose Among Adults with Type 1 Diabetes

2019 ◽  
Vol 54 (4) ◽  
pp. 249-257
Author(s):  
Eunjin Lee Tracy ◽  
Cynthia A Berg ◽  
Robert G Kent De Grey ◽  
Jonathan Butner ◽  
Michelle L Litchman ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Sleep Quality ◽  
Self Regulation ◽  
Self Care ◽  
Online Questionnaire ◽  
Multilevel Mediation

Abstract Background Sleep, a process that restores the body’s ability to self-regulate, may be one important factor affecting self-care behaviors and blood glucose (BG) levels. The link between sleep quality, self-care behaviors, and BG levels may occur by sleep-altering daily self-regulatory failures. Purpose This study examined whether the relation between sleep quality and self-care behaviors occurred through self-regulation failures and whether the relation between sleep quality and BG levels occurred through self-regulation failures and self-care behaviors sequentially. Methods One hundred and ninety-nine adults with type 1 diabetes (T1D) completed an online questionnaire for 14 days in which they reported sleep quality, self-regulation failures, and self-care behaviors. BG levels were gathered from glucometers. Analyses involved multilevel mediation models and focused on daily within-person and between-person variability of sleep quality. Results Better daily sleep quality was associated with higher self-care behaviors at both within-person and between-person levels, and self-regulation failures mediated the association between daily sleep quality and daily self-care behaviors at both within-person and between-person levels. Better daily sleep quality was associated with better BG levels at the within-person level and self-regulation behaviors and self-care behaviors sequentially mediated the association between daily sleep quality and daily BG levels at the within-person level. Conclusion This study provides a process account of the importance of daily sleep quality of adults with T1D, as well as one potential mechanism—self-regulation—that may explain the effect of sleep quality on diabetes outcomes.

scholarly journals The relationship between spiritual intelligence with self-efficacy in adolescents suffering type 1 diabetes

2018 ◽  
Vol 7 (1) ◽  
pp. 100 ◽  
Author(s):  
Mojdeh Rahmanian ◽  
Mohsen Hojat ◽  
MojtabaZeini Jahromi ◽  
Abdolahad Nabiolahi
Keyword(s):  
Type 1 Diabetes ◽  
Self Efficacy ◽  
Spiritual Intelligence ◽  
The Relationship

scholarly journals Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review (Preprint)

2017 ◽  
Author(s):  
Marion Waite ◽  
Clare Martin ◽  
Rachel Franklin ◽  
David Duce ◽  
Rachel Harrison
Keyword(s):  
Type 1 Diabetes ◽  
Human Factors ◽  
Technology Use ◽  
Self Care ◽  
Advanced Technology ◽  
Self Management ◽  
Data Logging ◽  
The Relationship ◽  
The Way

BACKGROUND People with type 1 diabetes (T1D) undertake self-management to prevent short and long-term complications. Advanced technology potentially supports such activities but requires consideration of psychological and behavioral constructs and usability issues. Economic factors and health care provider capacity influence access and uptake of advanced technology. Previous reviews have focused upon clinical outcomes or were descriptive or have synthesized studies on adults with those on children and young people where human factors are different. OBJECTIVE This review described and examined the relationship between human factors and adherence with technology for data logging processes in adults with T1D. METHODS A systematic literature search was undertaken by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Quality appraisal was undertaken and data were abstracted and categorized into the themes that underpinned the human factor constructs that were examined. RESULTS A total of 18 studies were included. A total of 6 constructs emerged from the data analysis: the relationship between adherence to data logging and measurable outcomes; satisfaction with the transition to advanced technology for self-management; use of advanced technology and time spent on diabetes-related activities; strategies to mediate the complexities of diabetes and the use of advanced technology; cognition in the wild; and meanings, views, and perspectives from the users of technology. CONCLUSIONS Increased treatment satisfaction was found on transition from traditional to advanced technology use—insulin pump and continuous glucose monitoring (CGM); the most significant factor was when blood glucose levels were consistently <7.00 mmol/L (P ≤.01). Participants spent considerable time on their diabetes self-care. Logging of data was positively correlated with increasing age when using an app that provided meaningful feedback (regression coefficient=55.8 recordings/year; P ≤.01). There were benefits of CGM for older people in mediating complexities and fears of hypoglycemia with significant differences in well-being (P ≤.001). Qualitative studies explored the contextual use and uptake of technology. The results suggested frustrations with CGM, continuous subcutaneous insulin infusion, calibration of devices, and alarms. Furthermore implications for “body image” and the way in which “significant others” impacted on the behavior and attitude of the individual toward technology use. There were wide variations in the normal use of and interaction with technology across a continuum of sociocultural contexts, which has implications for the way in which future technologies should be designed. Quantitative studies were limited by small sample sizes, making it difficult to generalize findings to other contexts. This was further limited by a sample that was predominantly white, well-controlled, and engaged with self-care. The use of critical appraisal frameworks demonstrated where research into human factors and data logging processes of individuals could be improved. This included engaging people in the design of the technology, especially hard-to-reach or marginalized groups.

Sign in / Sign up

Export Citation Format

Share Document