scholarly journals Perceived Stress and Adherence to the Dietary Recommendations and Blood Glucose Levels in Type 1 Diabetes

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Aila J. Ahola ◽  
Carol Forsblom ◽  
Valma Harjutsalo ◽  
Per-Henrik Groop

Stress may negatively impact self-management of diabetes and thereby deteriorate glycaemic control. Eating is the most frequently reported stress-release method. In this study, we investigated the association between perceived stress (PS), dietary adherence, and glycaemic control. Data from participants in the FinnDiane Study with type 1 diabetes who had completed a diet questionnaire and Cohen’s perceived stress scale (PSS) were included. In addition to using a continuous PSS score, participants were divided into three groups based on the PSS scores: the first PSS quartile, low levels of PS; second and third quartiles, moderate levels of PS; and fourth quartile, high levels of PS. A diet score reflecting the level of adherence to dietary recommendations was calculated. Analyses were conducted in the whole sample and in subgroups divided by body mass index (BMI<25 kg/m2 vs. BMI≥25 kg/m2). In the whole sample, high PS and continuous stress score were negatively associated with the diet score and with adherence to fish, fresh vegetable, low-fat liquid milk product, and vegetable oil-based cooking fat recommendations. The stress score was negatively associated with the diet score both in lean and in those overweight or obese. However, fish and fresh vegetable recommendations were only affected in those with corpulence. PS was not associated with mean blood glucose concentrations in the whole sample. When divided by BMI status, worse glycaemic control was observed in lean subjects reporting stress. In individuals with overweight or obesity, instead, high glucose concentrations were observed regardless of the level of perceived stress. Interventions to improve stress management could improve dietary adherence and glycaemic control and could thereby have the potential to improve long-term health and well-being of individuals with type 1 diabetes.

2020 ◽  
Author(s):  
Helleputte Simon ◽  
De Backer Tine ◽  
Calders Patrick ◽  
Pauwels Bart ◽  
Shadid Samyah ◽  
...  

OBJECTIVE: In type 1 diabetes mellitus (T1DM) management, CGM-derived parameters can provide additional insights, with the concept of time in range (TIR) and other parameters reflecting glycaemic control and variability (GV) being put forward. This study aimed to examine the added and interpretative value of the CGM-derived indices TIR and coefficient of variation (CV%) in T1DM patients stratified according to their level of glycaemic control by means of HbA1c. METHODS: T1DM patients with a minimum disease duration of 10 years and without known macrovascular disease were enrolled. Patients were equipped with a blinded CGM device (Dexcom G4) for seven days. TIR (70–180 mg/dl), time in hypoglycaemia (total: <70 mg/dl; level 2: <54 mg/dl) and hyperglycaemia (total: >180 mg/dl; level 2: >250 mg/dl) were determined, and CV% (=standard deviation(SD)/mean blood glucose(MBG)) was used as parameter for GV. Pearson and Spearman correlations, and regression analysis was used to examine associations. RESULTS: 95 patients (age: 45±10 years; HbAc1: 7.7±0.8%) were included (MBG: 159±31 mg/dl; TIR 55.8±14.9%; CV%: 43.5±7.8%) and labeled as having good (HbA1c ≤7%; n=20), moderate (7–8%; n=44) or poor (>8%; n=31) glycaemic control. HbA1c was significantly associated with MBG (rs=0.48, p<0.001) and time spent in hyperglycaemia (total: rs=0.52; level 2: r=0.46; p<0.001), but not with time in hypoglycaemia and CV%, even after analysis in HbA1c subgroups. Similarly, TIR was negatively associated with HbA1c (r=−0.53; p<0.001), MBG (rs=−0.81; p<0.001) and time in hyperglycaemia (total: rs=−0.90; level 2: rs=−0.84; p<0.001), but not with time in hypoglycaemia. Subgroup analyses, however, showed that TIR did associate with shorter time in level 2 hypoglycaemia in those patients with good (rs=−0.60; p=0.007) and moderate (rs=−0.25; p=0.047) glycaemic control. In contrast, CV% was strongly positively associated with time in hypoglycaemia (total: rs=0.78; level 2: rs=0.76; p<0.001), but not with TIR or time in hyperglycaemia in the entire cohort, although subgroup analyses showed that TIR was negatively associated with CV% in patients with good glycaemic control (r=−0.81, p<0.001) and positively in patients with poor glycaemic control (r=0.47; p<0.01). CONCLUSION: This study demonstrates that CGM-derived metrics TIR and CV% relate with clinically important situations, TIR being strongly dependent on hyperglycaemia and CV% being reflective of hypoglycaemic risk. However, the interpretation and applicability of TIR and CV%, and their relationship, depends on the level of glycaemic control of the individual patient, with CV% generally adding less clinically relevant information in those with poor control. This illustrates the need for further research and evaluation of composite measures of glycaemic control in T1DM. Abbreviations: T1DM = Type 1 diabetes mellitus; CGM = Continuous glucose monitoring; TIR = Time in range; TAR = Time above range; TBR = Time below range; GV = Glycaemic variability; CV% = Coefficient of variation; MBG = Mean blood glucose.


2020 ◽  
Vol 170 ◽  
pp. 108513
Author(s):  
Ilaria Barchetta ◽  
Flavia Agata Cimini ◽  
Laura Bertoccini ◽  
Valentina Ceccarelli ◽  
Michele Spaccarotella ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Aila J. Ahola ◽  
Stefan Mutter ◽  
Carol Forsblom ◽  
Valma Harjutsalo ◽  
Per-Henrik Groop

AbstractWe assessed meal timing, meal frequency, and breakfast consumption habits of adult individuals with type 1 diabetes (n = 1007) taking part in the Finnish Diabetic Nephropathy Study, and studied whether they are associated with glycaemic control. Data on dietary intake and blood glucose measurements were retrieved from food records. HbA1c was measured at the study visit. In the whole sample, four peaks of energy intake emerged. Energy intake was the greatest in the evening, followed by midday. Altogether 7% of the participants reported no energy intake between 05:00 and 09:59 (breakfast skippers). While breakfast skippers reported lower number of meals, no difference was observed in the total energy intake between those eating and omitting breakfast. In a multivariable model, skipping breakfast was associated with higher mean blood glucose concentrations and lower odds of good glycaemic control. A median of 6 daily meals was reported. Adjusted for confounders, the number of meals was negatively associated with HbA1c, and the mean of the blood glucose measurements, but positively associated with the variability of these measurements. Our observations support the habit of a regular meal pattern, including consumption of breakfast and multiple smaller meals for good glycaemic control in adults with type 1 diabetes. However, an increase in the blood glucose variability may additionally be expected with an increase in the number of meals eaten.


2021 ◽  
Vol 8 (3) ◽  
pp. 233
Author(s):  
Jessica L. Turton ◽  
Grant D. Brinkworth ◽  
Helen M. Parker ◽  
Kevin Lee ◽  
David Lim ◽  
...  

<p><strong>Background:</strong> Type 1 diabetes (T1D) is an autoimmune condition characterised by pancreatic beta cell destruction and absolute insulin deficiency. The varying impact of dietary factors on blood glucose levels is well-known, yet there remains a lack of consensus surrounding the optimal dietary approaches to achieve glycaemic control in T1D. The aim of this research is to assess the efficacy of a low-carbohydrate (LC) diet in adults with T1D. We will set out to determine whether significant differences in T1D management outcomes exist between a LC diet and habitual diets higher in carbohydrate. Our primary hypothesis is that a LC diet will result in improved T1D management compared to habitual diets higher in carbohydrates. <strong></strong></p><p><strong>Methods:</strong> This is a 28-week single arm within-participant intervention study involving a 4-week control period, a 12-week intervention period and a 12-week follow-up. We plan to recruit 20 adults (18-60 years) with T1D (duration ≥6 months) who have suboptimal glycaemic control (HbA1c&gt;7.0%). The primary outcome is haemoglobin A1c (HbA1c) and secondary outcomes include glycaemic variability, frequency of hypoglycaemia, total daily insulin, and quality of life. This LC diet will start at 50 g of digestible carbohydrate per day and then there will be opportunity to increase or decrease within a broader range of 25-75 g/day according to individual blood glucose levels and personal preference.  Participants will meet individually with the study dietitian for a total of six fortnightly sessions to receive dietary instruction, strategies, and education. Participants will continue to work with a member of their usual diabetes care team for specific advice regarding insulin management.</p><p><strong>Conclusions:</strong><em> </em>Current dietary management strategies for T1D appear to be lacking in effect and additional dietary therapies, including LC diets, require urgent consideration. Therefore, an interventional study investigating a patient-led LC dietary approach will be of important clinical relevance for healthcare practitioners and may help to better inform clinical practice guidelines for T1D management.</p><p><strong>Trial Registration<em>: </em></strong>https://www.anzctr.org.au/ACTRN12621000764831.aspx <em></em></p>


2013 ◽  
Vol 30 (3) ◽  
pp. 333-337 ◽  
Author(s):  
M. Boot ◽  
L. K. Volkening ◽  
D. A. Butler ◽  
L. M. B. Laffel

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e050713
Author(s):  
Emma G Wilmot ◽  
Mark Evans ◽  
Katharine Barnard-Kelly ◽  
M Burns ◽  
Iain Cranston ◽  
...  

IntroductionOptimising glycaemic control in type 1 diabetes (T1D) remains challenging. Flash glucose monitoring with FreeStyle Libre 2 (FSL2) is a novel alternative to the current standard of care self-monitoring of blood glucose (SMBG). No randomised controlled trials to date have explored the potential benefits of FSL2 in T1D. We aim to assess the impact of FSL2 in people with suboptimal glycaemic control T1D in comparison with SMBG.MethodsThis open-label, multicentre, randomised (via stochastic minimisation), parallel design study conducted at eight UK secondary and primary care centres will aim to recruit 180 people age ≥16 years with T1D for >1 year and glycated haemoglobin (HbA1c) 7.5%–11%. Eligible participants will be randomised to 24 weeks of FSL2 (intervention) or SMBG (control) periods, after 2-week of blinded sensor wear. Participants will be assessed virtually or in-person owing to the COVID-19 pandemic. HbA1c will be measured at baseline, 12 and 24 weeks (primary outcome). Participants will be contacted at 4 and 12 weeks for glucose optimisation. Control participants will wear a blinded sensor during the last 2 weeks. Psychosocial outcomes will be measured at baseline and 24 weeks. Secondary outcomes include sensor-based metrics, insulin doses, adverse events and self-report psychosocial measures. Utility, acceptability, expectations and experience of using FSL2 will be explored. Data on health service resource utilisation will be collected.AnalysisEfficacy analyses will follow intention-to-treat principle. Outcomes will be analysed using analysis of covariance, adjusted for the baseline value of the corresponding outcome, minimisation factors and other known prognostic factors. Both within-trial and life-time economic evaluations, informed by modelling from the perspective of the National Health Service setting, will be performed.EthicsThe study was approved by Greater Manchester West Research Ethics Committee (reference 19/NW/0081). Informed consent will be sought from all participants.Trial registration numberNCT03815006.Protocol version4.0 dated 29 June 2020.


Author(s):  
Sara Styles ◽  
Ben Wheeler ◽  
Alisa Boucsein ◽  
Hamish Crocket ◽  
Michel de Lange ◽  
...  

Abstract Purpose Frequent glucose monitoring is necessary for optimal glycaemic control. Second-generation intermittently scanned glucose monitoring (isCGM) systems inform users of out-of-target glucose levels and may reduce monitoring burden. We aim to compare FreeStyle Libre 2 (Abbott Diabetes Care, Witney, U.K.) to self-monitoring of blood glucose in children with type 1 diabetes and sub-optimal glycaemic control. Methods This open-label randomised controlled trial will enrol 100 children (4–13 years inclusive, diagnosis of type 1 diabetes ≥ 6 months, HbA1c 58–110 mmol/mol [7.5–12.2%]), from 5 New Zealand diabetes centres. Following 2 weeks of blinded sensor wear, children will be randomised 1:1 to control or intervention arms. The intervention (duration 12 weeks) includes second-generation isCGM (FreeStyle Libre 2) and education on using interstitial glucose data to manage diabetes. The control group will continue self-monitoring blood glucose. The primary outcome is the difference in glycaemic control (measured as HbA1c) between groups at 12 weeks. Pre-specified secondary outcomes include change in glucose monitoring frequency, glycaemic control metrics and psychosocial outcomes at 12 weeks as well as isCGM acceptability. Discussion This research will investigate the effectiveness of the second-generation isCGM to promote recommended glycaemic control. The results of this trial may have important implications for including this new technology in the management of children with type 1 diabetes. Trial registration This trial was prospectively registered with the Australian New Zealand Clinical Trials Registry on 19 February 2020 (ACTRN12620000190909p) and the World Health Organization International Clinical Trials Registry Platform (Universal Trial Number U1111-1237-0090).


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