Diabetes management

About: Diabetes management is a research topic. Over the lifetime, 6060 publications have been published within this topic receiving 164670 citations.

Evidence-based behavioral interventions to promote diabetes management in children, adolescents, and families.

Abstract: As members of multidisciplinary diabetes care teams, psychologists are well-suited to support self-management among youth with Type 1 diabetes (T1D) and Type 2 diabetes (T2D) and their families. Psychological and behavioral interventions can promote adherence to the complex and demanding diabetes care regimen, with the goals of promoting high quality of life, achieving optimal glycemic control, and ultimately preventing disease-related complications. This article reviews well-researched contemporary behavioral interventions to promote optimal diabetes family- and self-management and health outcomes in youth with T1D, in the context of key behavioral theories. The article summarizes the evidence base for established diabetes skills training programs, family interventions, and multisystemic interventions, and introduces emerging evidence for technology and mobile health interventions and health care delivery system interventions. Next steps in behavioral T1D intervention research include tailoring interventions to meet individuals' and families' unique needs and strengths, and systematically evaluating cost-effectiveness to advocate for dissemination of well-developed interventions. Although in its infancy, this article reviews observational and intervention research for youth with T2D and their families and discusses lessons for future research with this population. Interventions for youth with T2D will need to incorporate family members, consider cultural and family issues related to health behaviors, and take into account competing priorities for resources. As psychologists and behavioral scientists, we must advocate for the integration of behavioral health into routine pediatric diabetes care in order to effectively promote meaningful change in the behavioral and medical well-being of youth and families living with T1D and T2D. (PsycINFO Database Record

Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey.

Abstract: Background: Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients’ intention to use these apps are unclear. Understanding the patients’ behavioral intention is necessary to support the development and promotion of diabetes app use. Objective: This study aimed to identify the determinants of patients’ intention to use diabetes management apps based on an integrated theoretical model. Methods: The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data. Results: A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=–0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001). Conclusions: Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps’ effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients’ intention to use diabetes management apps. Context-related determinants should also be taken into consideration.

Psychology in diabetes care

Abstract: List of Contributors. Foreword to the First Edition. Foreword to the Second Edition. Preface to the First Edition. Preface to the Second Edition. List of Contributors. 1. Diabetes in Children (Barbara J. Anderson and Julienne Brackett). 1.1 Introduction. 1.2 Diabetes in Infancy. 1.3 Diabetes in toddlers and preschoolers. 1.4 Treatment in issues for children under 6 years of age. 1.5 Diabetes in school-aged children. 1.6 Family factors related to glycaemic control and adherence. 1.7 Family involvement in the diabetes management of a school-aged child. 1.8 Treatment issues for school-aged children. 1.9 Disease course and risk factors: implications for clinical practice. 1.10 Conclusions. References. 2. Diabetes in Adolescents (T. Chas Skinner, H. Murphy and Michelle V. Huws-Thomas). 2.1 Introduction. 2.2 Familial interventions. 2.3 Individual interventions. 2.4 Conclusion. References. 3. Psychological Issues in the Management of Diabetes and Pregnancy (Maurice G. A. J. Wouters and Frank J. Snoek). 3.1 Introduction. 3.2 Prepregnancy. 3.3 Pregnancy. 3.4 Delivery. 3.5 Lactation. 3.6 Childhood. 3.7 Practice implications. References. 4. References 4 Diabetes in Older Adults (Marie Clark and Koula G. Asimakopoulou). 4.1 Introduction. 4.2 The ageing process. 4.3 Symptoms and their representation. 4.4 Clinical features of diabetes. 4.5 Diabetes complications in older adults. 4.6 Mortality and type 2 diabetes. 4.7 Diabetes control and complications. 4.8 Quality of life. 4.9 Management of diabetes in older adults. 4.10 Self-management issues. 4.11 Practice implications. 4.12 Summary and conclusions. References. 5. Patient Empowerment (Martha M. Funnell and Robert M. Anderson). 5.1 Introduction. 5.2 Empowerment defined. 5.3 Patient empowerment and diabetes. 5.4 Implementing the empowerment approach. 5.5 Implementing the empowerment approach in diabetes self-management education (DSME). 5.6 Implementing the empowerment approach in diabetes self-management support (DSMS). 5.7 Implementing the empowerment approach in diabetes care. 5.8 Costs and benefits of the empowerment approach. 5.9 Concluding thoughts. Acknowledgement. References 6. Medical Office-Based Interventions (Russell E. Glasgow). 6.1 Theoretical background. 6.2 Clinical and logistic rationale for office-based interventions. 6.3 Research findings from office-based interventions. 6.4 Target groups for inclusion/exclusion. 6.5 Assessment and clinic flow. 6.6 Links to medical management. 6.7 Unanswered questions, new directions. References 7. Psychological Group Interventions in Diabetes Care (T. Chas Skinner and Nicole van der Ven). 7.1 Psychological group interventions in medical illness. 7.2 Psychological group interventions in diabetes. 7.3 Psychological group interventions aimed at psychological problems complicating diabetes. 7.4 Psychological group interventions dealing with complications of diabetes. 7.5 Psychological group interventions dealing with hypoglycaemia. 7.6 Groups dealing with the daily demands of diabetes. 7.7 Using new technologies for groups. 7.8 Discussion and future directions. References. 8. Counselling and Psychotherapy in Diabetes Mellitus (Richard R. Rubin). 8.1 Introduction. 8.2 Diabetes-related distress. 8.3 Psychopathology. 8.4 Practice implications. References. Index.

Validation of the Australian/English version of the Diabetes Management Self-Efficacy Scale

Abstract: Australians' use of the English language is influenced by a British educational curriculum, exposure to international television programmes and cultural backgrounds. Hence, adapting research instruments for use with Australian populations can be challenging. This study adapted the United Kingdom's version of the 20-item Diabetes Management Self-Efficacy Scale and tested it psychometrically with Australians. Face validity of the adapted instrument was established through consultation with diabetes educators and people with type 2 diabetes. Data from a convenience sample of 88 people with type 2 diabetes were analysed to determine the psychometric properties of the adapted instrument. The results indicate that the Australian/English version of the instrument is internally consistent, stable over time and it measures self-efficacy. However, there was evidence to show that there might be some redundant items in the scale. Further psychometric testing is warranted with a larger sample to determine whether the scale requires refinement.

Polyphenols and their effects on diabetes management: A review

Abstract: Background: Type 2 diabetes is a growing public health problem and is associated with increased morbidity and mortality. The worldwide prevalence of type 2 diabetes is rising. Polyphenols, such as flavonoids, phenolic acid, and stilbens, are a large and heterogeneous group of phytochemicals in plant-based foods. In this review, we aimed at assessing the studies on polyphenols and diabetes management. Methods: A literature search in the PubMed, EMBASE, Scopus, and ISI Web of Science databases was conducted to identify relevant studies published from 1986 to Jan 2017. Results: Several animal models and a limited number of human studies have revealed that polyphenols decrease hyperglycemia and improve acute insulin secretion and insulin sensitivity. The possible mechanisms include decrease in glucose absorption in the intestine, inhibition of carbohydrates digestion, stimulation of insulin secretion, modulation of glucose release from the liver, activation of insulin receptors and glucose uptake in insulin-sensitive tissues, modulation of intracellular signaling pathways, and gene expression. Conclusion: Growing evidence indicates that various dietary polyphenols may influence blood glucose at different levels and may also help control and prevent diabetes complication. However, we still need more clinical trials to determine the effects of polyphenols- rich foods, their effective dose, and mechanisms of their effects in managing diabetes.