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Insulin Requirements and Carbohydrate to Insulin Ratio in Normal Weight, Overweight, and Obese Women With Type 1 Diabetes Under Pump Treatment During Pregnancy: A Lesson From Old Technologies.
Festa, C, Fresa, R, Visalli, N, Bitterman, O, Giuliani, C, Suraci, C, Bongiovanni, M, Napoli, A
Frontiers in endocrinology. 2021;:610877
Abstract
AIM: The primary aim of this study was to assess insulin requirements and carbohydrate to insulin ratio (CHO/IR) in normal weight, overweight, and obese pregnant women with type 1 diabetes across early, middle, and late pregnancy. METHODS In this multicenter, retrospective, observational study we evaluated 86 of 101 pregnant Caucasian women with type 1 diabetes under pump treatment. The women were trained to calculate CHO/IR daily by dividing CHO grams of every single meal by insulin units injected. Since the purpose of the study was to identify the CHO/IR able to reach the glycemic target, we only selected the CHO/IR obtained when glycemic values were at target. Statistics: SPSS 20. RESULTS We studied 45 normal weight, 31 overweight, and 10 obese women. Insulin requirements increased throughout pregnancy (p < 0.0001 and <0.001 respectively) in the normal and overweight women, while it remained unchanged in the obese women. Insulin requirements were different between groups when expressed as an absolute value, but not when adjusted for body weight. Breakfast CHO/IR decreased progressively throughout pregnancy in the normal weight women, from 13.3 (9.8-6.7) at the first stage of pregnancy to 6.2 (3.8-8.6) (p = 0.01) at the end stage, and in the overweight women from 8.5 (7.1-12.6) to 5.2 (4.0-8.1) (p = 0.001), while in the obese women it remained stable, moving from 6.0 (5.0-7.9) to 5.1 (4.1-7.4) (p = 0.7). Likewise, lunch and dinner CHO/IR decreased in the normal weight and overweight women (p < 0.03) and not in the obese women. The obese women gained less weight than the others, especially in early pregnancy when they even lost a median of 1.25 (-1 -1.1) kg (p = 0.005). In early pregnancy, we found a correlation between pregestational BMI and insulin requirements (IU/day) or CHO/IR at each meal (p < 0.001 and p = 0.001, respectively). In late pregnancy, a relationship between pre-gestational BMI and CHO/IR change was found (P = 0.004), as well as between weight gain and CHO/IR change (p=0.02). The significance was lost when both variables were included in the multiple regression analysis. There was no difference in pregnancy outcomes except for a higher pre-term delivery rate in the obese women. CONCLUSION Pre-gestational BMI and weight gain may play a role in determining CHO/IR during pregnancy in women with type 1 diabetes under pump treatment.
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Causal effects of relative fat, protein, and carbohydrate intake on chronic kidney disease: a Mendelian randomization study.
Park, S, Lee, S, Kim, Y, Lee, Y, Kang, MW, Kim, K, Kim, YC, Han, SS, Lee, H, Lee, JP, et al
The American journal of clinical nutrition. 2021;(4):1023-1031
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Abstract
BACKGROUND The effects of specific macronutrients on kidney function independent of total calorie intake have rarely been studied, although the composition of macronutrient intake has been reported to affect health outcomes. OBJECTIVES We aimed to investigate the effects of macronutrient intake ratios on the risk of chronic kidney disease (CKD) by Mendelian randomization (MR) analysis. METHODS The study was an observational cohort study mainly based on the UK Biobank and including MR analysis. First, we evaluated the relative baseline macronutrient composition-that is, the number of calories from each macronutrient divided by total calorie intake-of the diets of UK Biobank participants, and we used Cox regression to assess the incidence of end-stage kidney disease (ESKD) in 65,164 participants with normal kidney function [estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2]. We implemented a genetic instrument for relative fat, protein, and carbohydrate intake developed by a previous genome-wide association study (GWAS) and performed MR analysis. Two-sample MR was performed with the summary statistics from independent CKDGen GWAS for kidney function traits (n = 567,460), including CKD (eGFR <60 mL/min/1.73 m2) and log-transformed eGFR. RESULTS The median relative macronutrient intake composition at baseline was 35% fats, 15% protein, and 50% carbohydrates. Higher relative protein intake in subjects with normal kidney function was significantly associated with a lower risk of incident ESKD (HR: 0.54; 95% CI: 0.30, 0.95) in the observational investigation. Two-sample MR indicated that increased relative fat intake causally increased the risk of kidney function impairment [CKD (OR: 1.94; 95% CI: 1.39, 2.71); log eGFR (β: -0.036; 95% CI: -0.048, -0.024)] and that higher relative protein intake was causally linked to a lower CKD risk [CKD (OR: 0.50; 95% CI: 0.35, 0.72); log eGFR (β: 0.044; 95% CI: 0.030, 0.058)]. CONCLUSIONS A desirable macronutrient composition, including high relative protein intake and low relative fat intake, may causally reduce the risk of CKD in the general population.
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[Analysis of nutritional intake in trail runners during competition].
Jiménez-Alfageme, R, Aguirre López, L, Mielgo-Ayuso, J, Martínez Sanz, JM
Nutricion hospitalaria. 2021;(2):321-327
Abstract
Introduction: there has been an increase in the number of endurance sports events during the last 20 years, as well as in the number of their participants. An adequate nutritional plan is essential for a satisfactory performance in this type of events, both in professional and amateur athletes. Objectives: the objective was to determine, evaluate, and compare with the current scientific recommendations the consumption of carbohydrates, water, and sodium by participants in a trail-running event. Methods: the competition completed by the athletes was the "Medio Trail de Alcoy 2019" (Alcoy, Spain), with a distance of 30 km. After completing the race, participants filled out a questionnaire about their food and drink consumption during the event, in addition to other questions about their nutritional habits in general. Eleven participants who met the inclusion criteria were included in the study. Results: the result obtained for average carbohydrate intake was 14.93 g/h, for sodium intake was 146.42 mg/h, and for water intake was 399.73 mL/h. In all, 27 % of participants visited a dietitian-nutritionist on a regular basis, and none reported gastrointestinal tract issues during the race. Conclusions: the carbohydrate and sodium consumption of participants was low as compared to current scientific recommendations; however, water consumption was adequate according to them. Our advice for endurance athletes is visit a specialized dietitian-nutritionist to achieve optimal performance in competitions.
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Association between quality and quantity of dietary carbohydrate and pregnancy-induced hypertension: A case-control study.
Sanjarimoghaddam, F, Bahadori, F, Bakhshimoghaddam, F, Alizadeh, M
Clinical nutrition ESPEN. 2019;:158-163
Abstract
BACKGROUND & AIMS Pregnancy-induced hypertension (PIH) is a pregnancy-specific disorder that increases maternal and infant mortality and morbidity. The quantity and quality of consumed carbohydrates are probably the main dietary factors affecting blood pressure. The present study aimed to evaluate the association of carbohydrate quality and quantity with PIH. METHODS This case-control study was performed on 202 pregnant women with or without PIH. The dietary data were collected using 168-item semi-quantitative food frequency questionnaires. Daily glycemic index (GI) and glycemic load (GL), ratio of whole grains to total grains, ratio of solid carbohydrates to total carbohydrates, dietary fiber and carbohydrate intake, and carbohydrate quality index (CQI) were calculated and their associations with PIH were evaluated using logistic regression. We eliminated collinearity within independent variables using factor analysis and then with evaluating the relationship between extracted factors and PIH. RESULTS In pregnant women in whom the daily carbohydrate intake and GL were higher than median increased frequency of PIH compared to whom had lower than median ones (OR = 3.23, 95% CI 1.46-7.17, and P = 0.004; OR = 2.60, 95% CI 1.21-5.56; and P = 0.035, respectively). Furthermore, we showed a significant inverse association between extracted factor that was mostly related to total fiber intake frequency of PIH (OR = 0.45; 95% CI 0.20-0.97, and P = 0.049 when higher than median values compared to lower than ones). The GI, ratio of whole grains to total grains, ratio of solid carbohydrates to total carbohydrates, and CQI did not associate with PIH. CONCLUSIONS These findings suggest that carbohydrate intake and GL are related to higher and daily fiber intake to lower frequency of PIH.
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Prospective evaluation of insulin-to-carbohydrate ratio in children and adolescents with type 1 diabetes using multiple daily injection therapy.
Hegab, AM
Pediatric diabetes. 2019;(8):1087-1093
Abstract
AIM: Assessment of insulin-to-carbohydrate ratio (ICR) in children and adolescents with type 1 diabetes mellitus (T1DM) using multiple daily injection (MDI) therapy. METHODS This prospective observational study was conducted over a 2-year period at Sohag University Hospital, Egypt. Children and adolescents aged 4 to 17 years, diagnosed with T1DM for at least 1 year, with fasting serum C-peptide levels <0.24 ng/dL and whose parents accepted to shift their management to flexible MDI using carbohydrate counting, were included. Participants were initially hospitalized for estimation of ICR and insulin doses, then followed-up monthly for further adjustments. Insulin doses, ICR, and glycemic control parameters were assessed after 3 months. RESULTS The study included 201 participants, 110 (54.7%) of them were males. The median age was 9.5 years (interquartile range: 7-12.5 years). Bolus insulin requirements estimated by the 500 rule were significantly lower than the actual doses used by the study participants for all meals (P < .001). Bolus insulin requirement for morning meal was significantly higher compared to other meals (P < .001). Linear regression analyses between ICR for different meals and the reciprocal of total daily dose (TDD) in 96 participants with optimum glycemic control revealed that ICR could be calculated as 301 to 309/TDD for morning meal (R2 = 0.97, P < .001), 317 to 331/TDD for afternoon meal (R2 = 0.96, P < .001), and 362 to 376/TDD for evening meal (R2 = 0.98, P < .001). CONCLUSIONS Bolus insulin requirements showed diurnal variation. Using 301 to 309/TDD, 317 to 331/TDD, and 362 to 376/TDD formulas would be more appropriate than the 500 rule for initial estimation of ICR for morning, afternoon, and evening meals, respectively.
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Carbohydrate quality and quantity and risk of coronary heart disease among US women and men.
AlEssa, HB, Cohen, R, Malik, VS, Adebamowo, SN, Rimm, EB, Manson, JE, Willett, WC, Hu, FB
The American journal of clinical nutrition. 2018;(2):257-267
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BACKGROUND The carbohydrate-to-fiber ratio is a recommended measure of carbohydrate quality; however, its relation to incident coronary heart disease (CHD) is not currently known. OBJECTIVE We aimed to assess the relation between various measures of carbohydrate quality and incident CHD. DESIGN Data on diet and lifestyle behaviors were prospectively collected on 75,020 women and 42,865 men participating in the Nurses' Health Study (NHS) and the Health Professionals Follow-Up Study (HPFS) starting in 1984 and 1986, respectively, and every 2-4 y thereafter until 2012. All participants were free of known diabetes mellitus, cancer, or cardiovascular disease at baseline. Cox proportional hazards regression models were used to assess the relation between dietary measures of carbohydrate quality and incident CHD. RESULTS After 1,905,047 (NHS) and 921,975 (HPFS) person-years of follow-up, we identified 7,320 cases of incident CHD. In models adjusted for age, lifestyle behaviors, and dietary variables, the highest quintile of carbohydrate intake was not associated with incident CHD (pooled-RR = 1.04; 95% CI: 0.96, 1.14; P-trend = 0.31). Total fiber intake was not associated with risk of CHD (pooled-RR = 0.94; 95% CI: 0.85, 1.03; P-trend = 0.72), while cereal fiber was associated with a lower risk for incident CHD (pooled-RR = 0.80; 95% CI: 0.74, 0.87; P-trend < 0.0001). In fully adjusted models, the carbohydrate-to-total fiber ratio was not associated with incident CHD (pooled-RR = 1.04; 95% CI: 0.96, 1.13; P-trend = 0.46). However, the carbohydrate-to-cereal fiber ratio and the starch-to-cereal fiber ratio were associated with an increased risk for incident CHD (pooled-RR = 1.20; 95% CI: 1.11, 1.29; P-trend < 0.0001, and pooled-RR = 1.17; 95%CI: 1.09, 1.27; P-trend < 0.0001, respectively). CONCLUSION Dietary cereal fiber appears to be an important component of carbohydrate quality. The carbohydrate-to-cereal fiber ratio and the starch-to-cereal fiber ratio, but not the carbohydrate-to-fiber ratio, was associated with an increased risk for incident CHD. Future research should focus on how various measures of carbohydrate quality are associated with CHD prevention. This trial was registered at clinicaltrials.gov as NCT03214861.
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Carbohydrate knowledge, lifestyle and insulin: an observational study of their association with glycaemic control in adults with type 1 diabetes.
Smythe, K, Saw, M, Mak, M, Wong, VW
Journal of human nutrition and dietetics : the official journal of the British Dietetic Association. 2018;(5):597-602
Abstract
BACKGROUND The ability to achieve optimal glycaemic control varies widely among individuals with type 1 diabetes. The present study aimed to explore the factors that are associated with optimal glycaemic control compared to suboptimal control. METHODS An observational study design was used to explore the association of various factors with glycaemic control. Surveys were completed by individuals who attended the type 1 diabetes clinic at a tertiary hospital in New South Wales (NSW), Australia. Clinical and demographic information and attendance at dietary review were also collected. RESULTS One hundred and three individuals completed the survey. Those with optimal control [glycated haemoglobin ≤7.0% (53 mmol mol-1 )] had a significantly shorter mean (SD) duration of diabetes [10.1 (12.6) years versus 18.8 (12.8) years, P = 0.005), were less likely to omit basal and bolus insulin (18.2% versus 47.5%, P = 0.016; 36.4% versus 61.8%, P = 0.034, respectively), and were less likely to report low confidence in managing their diabetes (9.1% versus 35.4%, P = 0.017). Participants who were able to identify carbohydrate sources were significantly more likely to have attended dietary review in the past 12 months (60.5% versus 20.0%, P = 0.001). However, they were not more likely to have better glycaemic control. CONCLUSIONS The present study identified that consistency in taking insulin and confidence in self-management was associated with better glycaemic control. An association was also found between recent dietary review and better carbohydrate knowledge, although this did not translate into better glycaemic control. Future investigation into the application of carbohydrate knowledge is required.
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The Use of a Pre-operative Carbohydrate Drink in Patients with Diabetes Mellitus: A Prospective, Non-inferiority, Cohort Study.
Laffin, MR, Li, S, Brisebois, R, Senior, PA, Wang, H
World journal of surgery. 2018;(7):1965-1970
Abstract
BACKGROUND Pre-operative fasting leads to insulin resistance and increased metabolic stress in non-diabetic patients. Consumption of a carbohydrate drink may alleviate these deleterious effects. Patients with diabetes mellitus represent over 15% of the surgical population, yet concerns over hyperglycemia and aspiration have excluded patients with diabetes mellitus from studies assessing the utility of pre-operative carbohydrate drinks. OBJECTIVE To assess for a clinically significant increase in pre-operative blood glucose concentration (defined as >2 mmol/L) in patients with diabetes consuming a pre-operative carbohydrate drink. METHODS A prospective observational non-inferiority cohort study of 106 subjects with diabetes mellitus was undertaken to assess the effect of consuming a pre-operative carbohydrate drink in surgical patients. All patients with diabetes mellitus undergoing surgery (including but not limited to cardiac, neurologic, urologic, and general surgical procedures) were enrolled. Subjects were instructed to consume two carbohydrate-rich drinks, one before sleeping the evening prior to surgery and another on the day of surgery. RESULTS In total, 43% of subjects were fully compliant with the pre-operative carbohydrate drink regimen. There were no significant differences between the fully compliant and non-compliant subjects with respect to baseline characteristics. Consumption of a pre-operative carbohydrate drink was determined to be non-inferior to fasting in terms of pre-operative blood glucose concentration (absolute difference 0.23 mmol/L, 95% CI: -1.00 to 1.45 mmol/L, p non-inferiority < 0.01). Neither group was found to be superior in terms of pre-operative blood glucose concentration, hyperglycemia, or length of stay. CONCLUSIONS These findings function as a step toward ensuring pre-operative carbohydrate drinks are safe in patients with diabetes undergoing surgery.
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Relationship between dietary carbohydrates intake and circulating sex hormone-binding globulin levels in postmenopausal women.
Huang, M, Liu, J, Lin, X, Goto, A, Song, Y, Tinker, LF, Chan, KK, Liu, S
Journal of diabetes. 2018;(6):467-477
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BACKGROUND Low circulating levels of sex hormone-binding globulin (SHBG) have been shown to be a direct and strong risk factor for type 2 diabetes, cardiovascular diseases, and hormone-dependent cancers, although the relationship between various aspects of dietary carbohydrates and SHBG levels remains unexplored in population studies. METHODS Among postmenopausal women with available SHBG measurements at baseline (n = 11 159) in the Women's Health Initiative, a comprehensive assessment was conducted of total dietary carbohydrates, glycemic load (GL), glycemic index (GI), fiber, sugar, and various carbohydrate-abundant foods in relation to circulating SHBG levels using multiple linear regressions adjusting for potential covariates. Linear trend was tested across quartiles of dietary variables. Benjamini and Hochberg's procedure was used to calculate the false discovery rate for multiple comparisons. RESULTS Higher dietary GL and GI (both based on total and available carbohydrates) and a higher intake of sugar and sugar-sweetened beverages were associated with lower circulating SHBG concentrations (all P trend < 0.05; Q -values = 0.04,0.01, 0.07, 0.10, 0.01, and <0.0001, respectively). In contrast, women with a greater intake of dietary fiber tended to have elevated SHBG levels (P trend = 0.01, Q -value = 0.04). There was no significant association between total carbohydrates or other carbohydrate-abundant foods and SHBG concentrations. CONCLUSIONS The findings suggest that low GL or GI diets with low sugar and high fiber content may be associated with higher serum SHBG concentrations among postmenopausal women. Future studies investigating whether lower GL or GI diets increase SHBG concentrations are warranted.
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Carbohydrate Counting during Pregnancy in Women with Type 1 Diabetes: Are There Predictable Changes That We Should Know?
Zagury, RL, Rodacki, M, Mello de Oliveira, L, Saunders, C, de Carvalho Padilha, P, Zajdenverg, L
Annals of nutrition & metabolism. 2017;(2):140-146
Abstract
BACKGROUND/AIMS: Carbohydrate counting (CC) is a helpful strategy for the treatment of type 1 diabetes mellitus (T1DM) and the main parameters used in this method are the insulin to carbohydrate ratio (ICR) and the sensitivity factor (SF). Throughout pregnancy, a state of insulin resistance develops. Therefore, we hypothesized that ICR and SF change and our aim was to describe the pattern of modification of these parameters in pregnant women with T1DM on CC. METHODS This study followed 21 women with T1DM throughout pregnancy. Starting ICR was 1:15 and SF was calculated using the formula: 1,500/total daily insulin dose (TDID; for regular insulin) or 1,800/TDID (for ultra-rapid analogs). ICR was adjusted every 1-2 weeks according to self-monitoring of blood glucose. SF was recalculated every 1-2 weeks. RESULTS Throughout gestation there was a mean decrease in the ICR in breakfast, lunch and dinner of 8.2 (p < 0.0001), 7.7 (p = 0.003) and 7 (p = 0.005) grams per international units (g/IU), respectively. Mean SF reduction from first to third trimester was 10 mg/dL per IU (mg/dL/IU; p < 0.0001). CONCLUSIONS Women with T1DM in CC during pregnancy evolve with a progressive reduction in the ICR at every meal (mean of 8.2 g/IU for breakfast, 7.7 g/IU for lunch and 7 g/IU for dinner) and also in the SF (10 mg/dL/IU).