Dataset Information

Does knowing one's elevated glycemic status make a difference in macronutrient intake?

ABSTRACT: To determine whether macronutrient intake differs by awareness of glycemic status among people with diabetes and prediabetes.We used 24-h dietary recall and other data from 3,725 nonpregnant adults with diabetes or prediabetes aged ?20 years from the morning fasting sample of the 2005-2010 National Health and Nutrition Examination Survey. Diabetes and prediabetes awareness were self-reported; those unaware of diabetes and prediabetes were defined by fasting plasma glucose (FPG) ?126 mg/dL or HbA1c ?6.5% and FPG 100-125 mg/dL or HbA1c of 5.7%-6.4%, respectively. Components of nutrient intake on a given day assessed were total calories, sugar, carbohydrates, fiber, protein, fat, and total cholesterol, stratified by sex and glycemic status awareness. Estimates of nutrient intake were adjusted for age, race/ethnicity, education level, BMI, smoking status, and family history of diabetes.Men with diagnosed diabetes consumed less sugar (mean 86.8 vs. 116.8 g) and carbohydrates (mean 235.0 vs. 262.1 g) and more protein (mean 92.3 vs. 89.7 g) than men with undiagnosed diabetes. Similarly, women with diagnosed diabetes consumed less sugar (mean 79.1 vs. 95.7 g) and more protein (mean 67.4 vs. 56.6 g) than women with undiagnosed diabetes. No significant differences in macronutrient intake were found by awareness of prediabetes. All participants, regardless of sex or glycemic status, consumed on average less than the American Diabetes Association recommendations for fiber intake (i.e., 14 g/1,000 kcal) and slightly more saturated fat than recommended (>10% of total kcal).Screening and subsequent knowledge of glycemic status may favorably affect some dietary patterns for people with diabetes.

SUBMITTER: Bardenheier BH

PROVIDER: S-EPMC4535332 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Does knowing one's elevated glycemic status make a difference in macronutrient intake?

Bardenheier Barbara H BH Cogswell Mary E ME Gregg Edward W EW Williams Desmond E DE Zhang Zefeng Z Geiss Linda S LS

Diabetes care 20140909 12

<h4>Objective</h4>To determine whether macronutrient intake differs by awareness of glycemic status among people with diabetes and prediabetes.<h4>Research design and methods</h4>We used 24-h dietary recall and other data from 3,725 nonpregnant adults with diabetes or prediabetes aged ≥20 years from the morning fasting sample of the 2005-2010 National Health and Nutrition Examination Survey. Diabetes and prediabetes awareness were self-reported; those unaware of diabetes and prediabetes were def ...[more]

PMID: 25205140

Similar Datasets

Project description:Background: The potential impact of prior meal composition on the postprandial glycemic response and glycemic index (GI) and glycemic load (GL) value determinations remains unclear.Objective: We determined the effect of meals that varied in macronutrient composition on the glycemic response and determination of GI and GL values of a subsequent standard test food.Design: Twenty healthy participants underwent 6 test sessions within 12 wk. The subjects received each of 3 isocaloric breakfast meals (i.e., high carbohydrate, high fat, or high protein) on separate days in a random order, which was followed by a standard set of challenges (i.e., white bread and a glucose drink) that were tested on separate days in a random order 4 h thereafter. Each challenge provided 50 g available carbohydrate. Arterialized venous blood was sampled throughout the 2-h postchallenge period. GI, GL, and insulin index (II) values were calculated with the use of the incremental area under the curve (AUCi) method, and serum lipids were determined with the use of standard assays.Results: The consumption of the high-protein breakfast before the white-bread challenge attenuated the rise in the postprandial serum glucose response (P < 0.0001) and resulted in lower glucose AUCi (P < 0.0001), GI (P = 0.0096), and GL (P = 0.0101) values than did the high-carbohydrate and high-fat breakfasts. The high-protein breakfast resulted in a lower insulin AUCi (P = 0.0146) for white bread than did the high-fat breakfast and a lower II value (P = 0.0285) than did the high-carbohydrate breakfast. The 3 breakfasts resulted in similar serum lipid responses to the white-bread challenge.Conclusions: These data indicate that the macronutrient composition of the prior meal influences the glycemic response and the determination of GI and GL values for white bread. Future studies are needed to determine whether the background food macronutrient composition influences mean dietary GI and GL values that are calculated for eating patterns, which may alter the interpretation of the associations between these values and chronic disease risk. This trial was registered at clinicaltrials.gov as NCT01023646.

Project description:BackgroundThe role of different types and quantities of macronutrients on human health has been controversial, and the individual response to dietary macronutrient intake needs more investigation.ObjectivesWe aimed to use an 'n-of-1' study design to investigate the individual variability in postprandial glycemic response when eating diets with different macronutrient distributions among apparently healthy adults.MethodsThirty apparently healthy young Chinese adults (women, 68%) aged between 22 and 34 y, with BMI between 17.2 and 31.9 kg/m2, were provided with high-fat, low-carbohydrate (HF-LC, 60-70% fat, 15-25% carbohydrate, 15% protein, of total energy) and low-fat, high-carbohydrate (LF-HC, 10-20% fat, 65-75% carbohydrate, 15% protein) diets, for 6 d wearing continuous glucose monitoring systems, respectively, in a randomized sequence, interspersed by a 6-d wash-out period. Three cycles were conducted. The primary outcomes were the differences of maximum postprandial glucose (MPG), mean amplitude of glycemic excursions (MAGE), and AUC24 between intervention periods of LF-HC and HF-LC diets. A Bayesian model was used to predict responders with the posterior probability of any 1 of the 3 outcomes reaching a clinically meaningful difference.ResultsTwenty-eight participants were included in the analysis. Posterior probability of reaching a clinically meaningful difference of MPG (0.167 mmol/L), MAGE (0.072 mmol/L), and AUC24 (13.889 mmol/L·h) between LF-HC and HF-LC diets varied among participants, and those with posterior probability >80% were identified as high-carbohydrate responders (n = 9) or high-fat responders (n = 6). Analyses of the Bayesian-aggregated n-of-1 trials among all participants showed a relatively low posterior probability of reaching a clinically meaningful difference of the 3 outcomes between LF-HC and HF-LC diets.ConclusionsN-of-1 trials are feasible to characterize personal response to dietary intervention in young Chinese adults.

Project description:Background: To overcome the problem of a high prevalence of undiscovered or untreated arterial hypertension in people of working age, the effects of behavioral change counseling in occupational health (OH) services should be investigated. The technique of motivational interviewing (MI) to support health-related lifestyle changes by physicians and/or occupational nurses ('health coach') has been shown to be successful in patients with chronic diseases. In 2010, we planned a randomized controlled trial (RCT) with employees who suffer from mild arterial hypertension. A preliminary feasibility study was performed in a large manufacturing company in Germany. Methods: All employees with elevated blood pressure measured by the OH-service were invited to undergo validation by 30 self-measurements. Persons with validated elevated values and without medical treatment received either usual hypertension counseling (control group, CG) or intensified MI-counseling (intervention group, IG) by the occupational health physician. Subsequently, the IG received MI-support from the 'health coach' in four telephone counseling sessions. Assessed feasibility factors included organizational processes, the acceptance of the validation procedure and the MI-counseling, and as primary outcome for an RCT the extent to which participants made health-related changes to their lifestyles. Results: Initially, 299 individuals were included in Study Part A (screening). At the end of Study Part B (intervention), out of 34 participants with validated and non-treated mild hypertension, only 7 (IG) and 6 (CG) participants completed the intervention including documentation. The high drop-out rate was due to the frequent lack of willingness to perform the 30 self-measurements at home with their own equipment. Acceptance was little higher when we changed the method to two repeated measurements in the OH service. MI-counseling, especially by the health coach, was evaluated positively. Conclusions: Despite the promising counseling approach, the feasibility study showed that an RCT with previous screening in the operational setting can only be implemented with high financial and personnel effort to reach an appropriate number of subjects. This substantial result could only be achieved through this comprehensive feasibility study, which investigated all aspects of the planned future RCT.

Dataset Information

Does knowing one's elevated glycemic status make a difference in macronutrient intake?

Publications

Does knowing one's elevated glycemic status make a difference in macronutrient intake?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets