Late eating is associated with poor glucose tolerance, independent of body weight, fat mass, energy intake and diet composition in prediabetes or early onset type 2 diabetes DOI Creative Commons
Diana A. Díaz-Rizzolo, Leinys S. Santos‐Báez,

Collin Popp

et al.

Nutrition and Diabetes, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 25, 2024

This study investigates the impact of habitual late calorie intake on glucose metabolism in adults with overweight or obesity and diet metformin-controlled prediabetes type 2 diabetes independently body weight, fat mass, energy composition. Participants (n = 26) were classified as Later Eaters (LE) if ≥45% daily calories consumed after 5 pm Early (EE) not, based caloric assessed over 2-wk. EE LE did not differ anthropometrics intake, but more carbohydrates (p 0.038) fats 0.039) pm. Fasting glucose, insulin, C-peptide between groups exhibited higher concentrations an oral tolerance test 0.001), even adjusting for composition < 0.05). Glucose results remained when participants T2D excluded 0.031). After status adjustment, differences time 30 0.028) 60 min 0.036). LE, compared to EE, had poorer tolerance, independent ClinicalTrials.gov: NCT04465721.

Language: Английский

Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity DOI
Maria‐Inti Metzendorf, L. Susan Wieland, Bernd Richter

et al.

Cochrane library, Journal Year: 2024, Volume and Issue: 2024(2)

Published: Feb. 20, 2024

Language: Английский

Citations

13
Artificial Intelligence in Endocrinology: On Track Toward Great Opportunities DOI Creative Commons
Guillaume Assié, Stéphanie Allassonnière

The Journal of Clinical Endocrinology & Metabolism, Journal Year: 2024, Volume and Issue: 109(6), P. e1462 - e1467

Published: March 11, 2024

In endocrinology, the types and quantity of digital data are increasing rapidly. Computing capabilities also developing at an incredible rate, as illustrated by recent expansion in use popular generative artificial intelligence (AI) applications. Numerous diagnostic therapeutic devices using AI have already entered routine endocrine practice, developments this field expected to continue accelerate. Endocrinologists will need be supported managing Beyond technological training, interdisciplinary vision is needed encompass ethical legal aspects AI, manage profound impact on patient/provider relationships, maintain optimal balance between human input endocrinology.

Language: Английский

Citations

5
Predictive models of post‐prandial glucose response in persons with prediabetes and early onset type 2 diabetes: A pilot study DOI
Leinys S. Santos‐Báez, Diana A. Díaz-Rizzolo,

Rabiah Borhan

et al.

Diabetes Obesity and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Post-prandial glucose response (PPGR) is a risk factor for cardiovascular disease. Meal carbohydrate content an important predictor of PPGR, but dietary interventions to mitigate PPGR are not always successful. A personalized approach, considering behaviour and habitual pattern excursions assessed by continuous monitor (CGM), may be more effective.

Language: Английский

Citations

0
Dietary misreporting: a comparative study of recalls vs energy expenditure and energy intake by doubly-labeled water in older adults with overweight or obesity DOI Creative Commons
Leinys S. Santos‐Báez, Michele Novaes Ravelli, Diana A. Díaz-Rizzolo

et al.

BMC Medical Research Methodology, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 26, 2025

Self-report methods are widely used to assess energy intake but prone measurement errors. We aimed identify under-reported, over-reported, and plausible self-reported by dietary recalls (rEI) using a standard method (Method 1) that calculates the rEI ratio against measured expenditure (mEE) doubly-labeled water (DLW), compare it novel 2), which (mEI) principle of balance (EB = mEE + changes in stores). The rEI:mEE rEI:mEI ratios were assessed for each subject. Group cut-offs calculated both methods, coefficient variations rEI, mEE, mEI. Entries within ± 1SD cutoffs categorized as plausible, < > over-reported. Kappa statistics was agreement between methods. Percentage bias (bβ) estimated linear regression. Remaining (dβ) after applying cutoffs. percentage under-reporting 50% Using Method 1, 40.3% 10.2% With 2, 26.3% 23.7% respectively. There significant positive relationship mEI with weight (ß 21.7, p 0.01) BMI 48.8, 0.04), not 13.1, 0.06) 41.8, 0.11). relationships when only entries included 1 (weight: ß 17.4, 0.01, remaining 49.5%; BMI: 44.6, 60.2%) 2 19.5, 24.9%; 44.8, 0.03, 56.9%). choice significantly impacts over-reported classification, identifying more entries. While showed no anthropometric measurements, reduced bias. greater reduction, suggesting may have superior performance rEI. NCT04465721.

Language: Английский

Citations

0
The effects of early time restricted eating plus daily caloric restriction compared to daily caloric restriction alone on continuous glucose levels DOI Creative Commons
Adnin Zaman,

Laura Grau,

Rebecca Jeffers

et al.

Obesity Science & Practice, Journal Year: 2023, Volume and Issue: 10(1)

Published: July 22, 2023

Abstract Background The median eating duration in the U.S. is 14.75 h, spread throughout period of wakefulness and ending before sleep. Food intake at an inappropriate circadian time may lead to adverse metabolic outcomes. Emerging literature suggests that restricted (TRE) improve glucose tolerance insulin sensitivity. aim was compare 24‐h profiles sensitivity participants after completing 12 weeks a behavioral weight loss intervention based on early TRE plus daily caloric restriction (E‐TRE+DCR) or DCR alone. Methods Eighty‐one adults with overweight obesity (age 18–50 years, BMI 25–45 kg/m 2 ) were randomized either E‐TRE+DCR Each participant wore continuous monitor (CGM) for 7 days estimated using homeostatic model assessment resistance (HOMA‐IR) Baseline Week 12. Changes CGM‐derived measures HOMA‐IR from assessed within between groups random intercept mixed models. Results Forty‐four had valid CGM data both points, while 38 glucose, insulin, HOMA‐IR, hemoglobin A1c (A1c) timepoints. There no significant differences sex, age, BMI, percentage prediabetes (28% female, age 39.2 ± 6.9 33.8 5.7 , 16% prediabetes). After adjusting weight, there between‐group changes overall average sensor standard deviation levels, coefficient variation daytime nighttime fasting A1c. However, mean amplitude glycemic excursions changed differently over two groups, greater reduction found as compared ( p = 0.03). Conclusion major intervention. Because study sample included normal baseline sensitivity, ability detect these outcomes have been limited.

Language: Английский

Citations

4
Time-restricted eating for patients with diabetes and prediabetes: A systematic review DOI Creative Commons
Xiaoxiao Lin, Yihong Guan, Guomin Wu

et al.

Frontiers in Nutrition, Journal Year: 2022, Volume and Issue: 9

Published: Nov. 3, 2022

Background Several studies have explored the effect of time-restricted eating (TRE) on patients with diabetes and prediabetes. However, these not been analyzed summarized as a whole. We conducted systematic review to summarize analyze all about efficacy safety TRE for Methods comprehensive search Embase, PubMed Cochrane databases time span was from inception 1 May 2022. The Collaboration’s Risk Bias 2 (RoB2) ROBINS-I tools were used evaluate quality included studies. weight loss, insulin sensitivity, plasma glucose, analyzed. Results In total, 7 326 participants including 5 articles 217 109 prediabetes included. windows 4 10 h. percentages females ranged 0 90%. mean age 35.2 67.5 years, most adhered TRE. All assessed high quality. may result in improvements sensitivity no severe AEs. Conclusion Time-restricted is safe feasible intervention, offer cardiovascular metabolic benefits Studies this field, which should be viewed important, are limited. Therefore, more high-quality needed.

Language: Английский

Citations

7
Diet and Meal Pattern Determinants of Glucose Levels and Variability in Adults with and without Prediabetes or Early-Onset Type 2 Diabetes: A Pilot Study DOI Open Access
Leinys S. Santos‐Báez, Diana A. Díaz-Rizzolo,

Collin Popp

et al.

Nutrients, Journal Year: 2024, Volume and Issue: 16(9), P. 1295 - 1295

Published: April 26, 2024

This observational pilot study examined the association between diet, meal pattern and glucose over a 2-week period under free-living conditions in 26 adults with dysglycemia (D-GLYC) 14 normoglycemia (N-GLYC). We hypothesized that prolonged eating window late occasions (EOs), along higher dietary carbohydrate intake, would result levels variability (GV). General linear models were run timing time-stamped photographs real time, diet composition by recalls, their (SD), as predictors variables (mean glucose, mean amplitude of excursions [MAGE], largest [LAGE] GV) dependent variables. After adjusting for calories nutrients, later midpoint predicted lower GV (β = −2.3, SE 1.0, p 0.03) D-GLYC, while last EO 1.5, 0.6, 0.04) N-GLYC. A intake MAGE 0.9, 0.4, 0.02) 0.2, N-GLYC, but not D-GLYC. In summary, our data suggest patterns interact should be evaluated potential modifiable determinants without dysglycemia. Future research evaluate causality controlled diets.

Language: Английский

Citations

1
Late eating is associated with poor glucose tolerance, independent of body weight, fat mass, energy intake and diet composition in prediabetes or early onset type 2 diabetes DOI Creative Commons
Diana A. Díaz-Rizzolo, Leinys S. Santos‐Báez,

Collin Popp

et al.

Nutrition and Diabetes, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 25, 2024

This study investigates the impact of habitual late calorie intake on glucose metabolism in adults with overweight or obesity and diet metformin-controlled prediabetes type 2 diabetes independently body weight, fat mass, energy composition. Participants (n = 26) were classified as Later Eaters (LE) if ≥45% daily calories consumed after 5 pm Early (EE) not, based caloric assessed over 2-wk. EE LE did not differ anthropometrics intake, but more carbohydrates (p 0.038) fats 0.039) pm. Fasting glucose, insulin, C-peptide between groups exhibited higher concentrations an oral tolerance test 0.001), even adjusting for composition < 0.05). Glucose results remained when participants T2D excluded 0.031). After status adjustment, differences time 30 0.028) 60 min 0.036). LE, compared to EE, had poorer tolerance, independent ClinicalTrials.gov: NCT04465721.

Language: Английский

Citations

0