
Meryem K. Talbo
Postdoctoral Scholar, Endocrinology and Metabolism
All Publications
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Exercise and Glycemic Management in Females and Women with Diabetes: The Role of Sex and Gender Across the Lifespan.
Canadian journal of diabetes
2025
View details for DOI 10.1016/j.jcjd.2025.02.001
View details for PubMedID 39952469
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Overweight and Obesity in People Living With Type 1 Diabetes: A Cross-Sectional Analysis of the BETTER Registry
DIABETES-METABOLISM RESEARCH AND REVIEWS
2024; 40 (6): e3837
Abstract
The prevalence and associations of overweight and obesity in Canadian adult people living with type 1 diabetes (PWT1D) are poorly documented. In a cohort of PWT1D patients, this study assesses (i) overweight and obesity frequencies and associated PWT1D clinicodemographic characteristics, (ii) diabetes characteristics, and (iii) the use of noninsulin adjunctive agents.Cross-sectional analysis of self-reported data from the BETTER registry: 1091 adult PWT1D (aged 44.4 ± 15.0 years; 32% HbA1c<7% [53 mmol/mol]) classified by BMI classes: underweight combined with normal weight, overweight, or obesity. Bivariate analyses were used to identify associations between BMI classes, diabetes characteristics, complications, and treatments.Overweight and obesity affected 34.6% and 19.8% of participants. Compared to underweight + normal weight, PWT1D with overweight/obesity was associated with male sex, higher age, lower education level, longer diabetes duration, and higher total insulin doses and use of cardiorenal therapies (all p < 0.001). Compared to other PWT1D, those living with obesity reported higher HbA1c (p < 0.05), less frequent hypoglycemia (p < 0.05), more cardiovascular diseases (p < 0.003), retinopathy, neuropathy, depression treatment as well as noninsulin adjunctive agent use (all p < 0.001). Logistic regression showed that living with overweight/obesity was associated with male sex, being treated for cardiorenal therapies, depression, diabetes duration, and total daily insulin doses.Overweight or obesity affects over half of adult PWT1D in the Canadian BETTER registry and is associated with higher HbA1c levels, higher total daily insulin doses, more chronic diabetes complications and noninsulin adjunctive agent use, a worse cardiometabolic profile, and lower hypoglycemia frequency.
View details for DOI 10.1002/dmrr.3837
View details for Web of Science ID 001299815700001
View details for PubMedID 39193662
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The <i>Support-Pro</i> Online Training Platform: Increasing Health Care Professionals' Confidence and Knowledge in Treating People Living With Type 1 Diabetes
DIABETES CARE
2024; 47 (8): e54-e56
View details for DOI 10.2337/dc24-0302
View details for Web of Science ID 001292835000007
View details for PubMedID 38781023
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Does Insulin Delivery Technology Change Our Relationship with Foods? A Scoping Review
DIABETES TECHNOLOGY & THERAPEUTICS
2024; 26 (2): 136-145
Abstract
Introduction: Automated insulin delivery (AID) systems reduce burden and improve glycemic management for people with type 1 diabetes (PwT1D) by automatically adjusting insulin as a response to measured glucose levels. There is a lack of evidence on AID and nutrition variables such as dietary intake, eating behaviors, and disordered eating. Objectives: This scoping review aims to provide a summary of the literature regarding AID and nutrition variables and to identify gaps that require further investigation. Methods: Two researchers conducted a blinded search of Medline (OVID) and PubMed for studies, including AID use (compared to non-AID use) and nutrition variables. Studies from January 2000 to July 2023 were included, as were PwT1D of all ages. Results: A total of 3132 articles were screened for appropriateness. After exclusions, 7 studies were included (2017-2023): 4 qualitative, 1 crossover, 1 randomized controlled, and 1 observational. Studies included adolescents (n = 1), adults (n = 3) or both (n = 2), and all ages (n = 1). In quantitative studies, AID was associated with lower eating distress (-0.43 ± 0.12, P = 0.004) and higher quality of life (3.1, 95% confidence interval [CI]: 0.8-5.4, P = 0.01), but not grams of carbohydrates at meals (1.0; 95% CI: -0.7 to 3.0; P = 0.24) and snacks (0.004; 95% CI: -0.8 to 0.8; P = 0.99) compared to non-AID use. In qualitative studies, AID increased the frequency and portions of food intake and led to less dietary control from parents. AID users reported eating foods higher in energy density. PwT1D were less worried about achieving accurate carbohydrate counting (CC) when using AID. Conclusions: AID use appears to influence eating behaviors, dietary patterns, and CC, although evidence was limited. AID may reduce food management burden due to the perception that AID can correct for CC inaccuracy. Significance: Further research needs to determine if AID allows for simplification of CC and improves eating behaviors while maintaining glycemic stability.
View details for DOI 10.1089/dia.2023.0382
View details for Web of Science ID 001150716000001
View details for PubMedID 38032855
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Sex influences health: reporting on female characteristics should be mandatory in exercise and physical activity-related diabetes research.
Diabetologia
2023
View details for DOI 10.1007/s00125-023-06022-2
View details for PubMedID 37794258
View details for PubMedCentralID 8475204
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Considerations for occupational heat exposure: A scoping review
PLOS CLIMATE
2023; 2 (9)
View details for DOI 10.1371/journal.pclm.0000202
View details for Web of Science ID 001409442100001