Continuous Glucose Monitoring

Fritschi, Cynthia; Quinn, Laurie; Penckofer, Sue; Surdyk, Patricia M.

doi:10.1177/0145721709355835

Cited by 22 publications

(16 citation statements)

References 9 publications

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“…One study 15 showed improved QOL and treatment satisfaction in patients switching from injections to CSII, but no effect in patients previously taking oral hypoglycemic agents (OHAs) only; another study 16 reported no overall QOL differences for CSII versus MDI. Other treatment advances such as inhaled insulin, 17, 18 continuous glucose monitoring, 19-21 continuous intraperitoneal insulin infusion, 22 pancreatic-kidney 23 and islet cell 24 transplantation, and supplemental metformin therapy 25 in T1DM, have demonstrated positive QOL impacts, but small numbers of studies and observational designs prohibit any firm conclusions.…”

Section: Resultsmentioning

confidence: 99%

Facilitating Healthy Coping in Patients With Diabetes

et al. 2012

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Purpose The purpose of this study is to summarize recent literature on approaches to supporting healthy coping in diabetes, in two specific areas: 1) impact of different approaches to diabetes treatment on healthy coping; and 2) effectiveness of interventions specifically designed to support healthy coping. Methods A PubMed search identified 129 articles published August 1, 2006 – April 30, 2011, addressing diabetes in relation to emotion, quality of life, depression, adjustment, anxiety, coping, family therapy, behavior therapy, psychotherapy, problem-solving, couples therapy, or marital therapy. Results Evidence suggests that treatment choice may significantly influence quality of life, with treatment intensification in response to poor metabolic control often improving quality of life. The recent literature provides support for a variety of healthy coping interventions in diverse populations, including diabetes self-management education, support groups, problem-solving approaches, and coping skills interventions for improving a range of outcomes, Cognitive Behavior Therapy and collaborative care for treating depression, and family therapy for improving coping in youths. Conclusions Healthy coping in diabetes has received substantial attention in the past five years. A variety of approaches show positive results. Research is needed to compare effectiveness of different approaches in different populations and determine how to overcome barriers to intervention dissemination and implementation.

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Section: Resultsmentioning

confidence: 99%

Facilitating Healthy Coping in Patients With Diabetes

et al. 2012

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“…53 The subjects in the CGM substudy were blinded to the real-time glucose readings, so they did not see their blood glucose results and thus did not experience the emotions that accompany seeing blood glucose values rise and fall within short time periods. The subjects were asked to calibrate their CGM monitors by performing fingerstick home blood glucose checks four times daily.…”

Section: Discussionmentioning

confidence: 99%

Fatigue in Women With Type 2 Diabetes

et al. 2012

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Purpose The purpose of this study was to explore the relationship between fatigue and physiological, psychological, and lifestyle phenomena in women with type 2 diabetes (T2DM) in order to establish the magnitude and correlates of fatigue in women with T2DM and explore the interrelationships between fatigue and specific diabetes-related factors that may be associated with increased levels of fatigue. These factors included physiological factors (glucose control, diabetes symptoms), psychological factors (diabetes emotional distress, depressive symptoms in general), and lifestyle factors (body mass index, physical activity). Methods A cross-sectional, descriptive design was used. Women who reported conditions known to cause fatigue were excluded. Physiological measures included fasting blood glucose (FBG), hemoglobin A1C (A1C), glucose variability, and body mass index (BMI). Women completed questionnaires about health, fatigue levels, diabetes symptoms, diabetes emotional distress, depressive symptoms, physical activity, and current diabetes self-care practices. A subset of the women wore a Medtronic Gold CGM sensor for 3 days for assessment of glucose variability. Results Eighty-three women aged 40 to 65 years with T2DM completed the study. Fatigue was significantly related to diabetes symptoms, diabetes emotional distress, depressive symptoms, higher BMI, and reduced physical activity. There was no relationship between fatigue and FBG or A1C. The strongest explanatory factors for fatigue were diabetes symptoms, depressive symptoms, and BMI, which accounted for 48% of the variance in fatigue scores. Glucose variability was not significantly associated with fatigue in these women. Conclusions Fatigue is a persistent clinical complaint among women with T2DM and may signal the presence of physiological, psychological, and lifestyle-related phenomena that could undermine diabetes health outcomes.

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“…Small trials of participants with type 1 diabetes have shown that classroom education using simulated glucose curves positively affects knowledge [13], the frequency of hypoglycemic events [14], and hemoglobin A1c [14]. In T2DM, interviews with individuals before and after viewing their own glucose curves suggest that viewing the curves appears to provide individuals with a greater understanding of the daily variation in glucose (particularly postprandial peaks) and may result in greater intention to perform self-care activities, including to be more physically active [15]. We believe glucose curves offer value because they provide contextual information that individual self-monitored glucose values do not provide.…”

Section: Introductionmentioning

confidence: 99%

Efficacy of a Computerized Simulation in Promoting Walking in Individuals With Diabetes

Gibson¹,

Marcus²,

Staggers³

et al. 2012

J Med Internet Res

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BackgroundRegular walking is a recommended but underused self-management strategy for individuals with type 2 diabetes mellitus (T2DM).ObjectiveTo test the impact of a simulation-based intervention on the beliefs, intentions, knowledge, and walking behavior of individuals with T2DM. We compared two versions of a brief narrated simulation. The experimental manipulation included two components: the presentation of the expected effect of walking on the glucose curve; and the completion of an action plan for walking over the next week. Primary hypotheses were (1) intervention participants’ walking (minutes/week) would increase more than control participants’ walking, and (2) change in outcome expectancies (beliefs) would be a function of the discrepancy between prior beliefs and those presented in the simulation. Secondary hypotheses were that, overall, behavioral intentions to walk in the coming week and diabetes-related knowledge would increase in both groups.MethodsIndividuals were randomly assigned to condition. Preintervention measures included self-reported physical activity (International Physical Activity Questionnaire [IPAQ] 7-day), theory of planned behavior-related beliefs, and knowledge (Diabetes Knowledge Test). During the narrated simulation we measured individuals’ outcome expectancies regarding the effect of exercise on glucose with a novel drawing task. Postsimulation measures included theory of planned behavior beliefs, knowledge, and qualitative impressions of the narrated simulation. The IPAQ 7-day was readministered by phone 1 week later. We used a linear model that accounted for baseline walking to test the main hypothesis regarding walking. Discrepancy scores were calculated between the presented outcome and individuals’ prior expectations (measured by the drawing task). A linear model with an interaction between intervention status and the discrepancy score was used to test the hypothesis regarding change in outcome expectancy. Pre–post changes in intention and knowledge were tested using paired t tests.ResultsOf 65 participants, 33 were in the intervention group and 32 in the control group. We excluded 2 participants from analysis due to being extreme outliers in baseline walking. After adjustment for baseline difference in age and intentions between groups, intervention participants increased walking by 61.0 minutes/week (SE 30.5, t 58 = 1.9, P = .05) more than controls. The proposed interaction between the presented outcome and the individual’s prior beliefs was supported: after adjustment for baseline differences in age and intentions between groups, the coefficient for the interaction was –.25, (SE 0.07, t 57 = –3.2, P < .01). On average participants in both groups improved significantly from baseline in intentions (mean difference 0.66, t 62 = 4.5, P < .001) and knowledge (mean difference 0.38, t 62 = 2.4, P = .02).ConclusionsThis study suggests that a brief, Internet-ready, simulation-based intervention can improve knowledge, beliefs, intentions, and short-term behavior in individua...

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Continuous Glucose Monitoring

Cited by 22 publications

References 9 publications

Facilitating Healthy Coping in Patients With Diabetes

Facilitating Healthy Coping in Patients With Diabetes

Fatigue in Women With Type 2 Diabetes

Efficacy of a Computerized Simulation in Promoting Walking in Individuals With Diabetes

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