Personalized nutrition: pretreatment glucose metabolism determines individual long-term weight loss responsiveness in individuals with obesity on low-carbohydrate versus low-fat diet

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Standard

Personalized nutrition: pretreatment glucose metabolism determines individual long-term weight loss responsiveness in individuals with obesity on low-carbohydrate versus low-fat diet. / Hjorth, Mads Fiil; Astrup, Arne; Zohar, Yishai; Urban, Lorien E; Sayers, Robert D; Patterson, Bruce W; Herring, Sharon J; Klein, Samuel; Zemel, Babette S; Foster, Gary D; Wyatt, Holly R; Hill, James O.

In: International Journal of Obesity, Vol. 43, 2019, p. 2037-2044.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hjorth, MF, Astrup, A, Zohar, Y, Urban, LE, Sayers, RD, Patterson, BW, Herring, SJ, Klein, S, Zemel, BS, Foster, GD, Wyatt, HR & Hill, JO 2019, 'Personalized nutrition: pretreatment glucose metabolism determines individual long-term weight loss responsiveness in individuals with obesity on low-carbohydrate versus low-fat diet', International Journal of Obesity, vol. 43, pp. 2037-2044. https://doi.org/10.1038/s41366-018-0298-4

APA

Hjorth, M. F., Astrup, A., Zohar, Y., Urban, L. E., Sayers, R. D., Patterson, B. W., ... Hill, J. O. (2019). Personalized nutrition: pretreatment glucose metabolism determines individual long-term weight loss responsiveness in individuals with obesity on low-carbohydrate versus low-fat diet. International Journal of Obesity, 43, 2037-2044. https://doi.org/10.1038/s41366-018-0298-4

Vancouver

Hjorth MF, Astrup A, Zohar Y, Urban LE, Sayers RD, Patterson BW et al. Personalized nutrition: pretreatment glucose metabolism determines individual long-term weight loss responsiveness in individuals with obesity on low-carbohydrate versus low-fat diet. International Journal of Obesity. 2019;43:2037-2044. https://doi.org/10.1038/s41366-018-0298-4

Author

Hjorth, Mads Fiil ; Astrup, Arne ; Zohar, Yishai ; Urban, Lorien E ; Sayers, Robert D ; Patterson, Bruce W ; Herring, Sharon J ; Klein, Samuel ; Zemel, Babette S ; Foster, Gary D ; Wyatt, Holly R ; Hill, James O. / Personalized nutrition: pretreatment glucose metabolism determines individual long-term weight loss responsiveness in individuals with obesity on low-carbohydrate versus low-fat diet. In: International Journal of Obesity. 2019 ; Vol. 43. pp. 2037-2044.

Bibtex

@article{17f05843720a491c84243b225a80a185,
title = "Personalized nutrition: pretreatment glucose metabolism determines individual long-term weight loss responsiveness in individuals with obesity on low-carbohydrate versus low-fat diet",
abstract = "Background/Objectives: The interaction between fasting plasma glucose (FPG) and fasting insulin (FI) concentrations and diets with different carbohydrate content were studied as prognostic markers of weight loss as recent studies up to 6 months of duration have suggested the importance of these biomarkers.Subjects/Methods: This was a retrospective analysis of a clinical trial where participants with obesity were randomized to an ad libitum low-carbohydrate diet or a low-fat diet with low energy content (1200–1800 kcal/day [≈ 5.0–7.5 MJ/d]; ≤ 30{\%} calories from fat) for 24 months. Participants were categorized (pretreatment) as normoglycemic (FPG < 5.6 mmol/L) or prediabetic (FPG ≥ 5.6–6.9 mmol/L) and further stratified by median FI. Linear mixed models were used to examine outcomes by FPG and FI values.Results: After 2 years, participants with prediabetes and high FI lost 7.2 kg (95{\%} CI 2.1;12.2, P = 0.005) more with the low-fat than low-carbohydrate diet, whereas those with prediabetes and low FI tended to lose 6.2 kg (95{\%} CI −0.9;13.3, P = 0.088) more on the low-carbohydrate diet than low-fat diet [mean difference: 13.3 kg (95{\%} CI 4.6;22.0, P = 0.003)]. No differences between diets were found among participants with normoglycemia and either high or low FI (both P ≥ 0.16).Conclusions: Fasting plasma glucose and insulin are strong predictors of the weight loss response to diets with different macronutrient composition and might be a useful approach for personalized weight management.",
author = "Hjorth, {Mads Fiil} and Arne Astrup and Yishai Zohar and Urban, {Lorien E} and Sayers, {Robert D} and Patterson, {Bruce W} and Herring, {Sharon J} and Samuel Klein and Zemel, {Babette S} and Foster, {Gary D} and Wyatt, {Holly R} and Hill, {James O}",
note = "CURIS 2019 NEXS 319",
year = "2019",
doi = "10.1038/s41366-018-0298-4",
language = "English",
volume = "43",
pages = "2037--2044",
journal = "International Journal of Obesity",
issn = "0307-0565",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Personalized nutrition: pretreatment glucose metabolism determines individual long-term weight loss responsiveness in individuals with obesity on low-carbohydrate versus low-fat diet

AU - Hjorth, Mads Fiil

AU - Astrup, Arne

AU - Zohar, Yishai

AU - Urban, Lorien E

AU - Sayers, Robert D

AU - Patterson, Bruce W

AU - Herring, Sharon J

AU - Klein, Samuel

AU - Zemel, Babette S

AU - Foster, Gary D

AU - Wyatt, Holly R

AU - Hill, James O

N1 - CURIS 2019 NEXS 319

PY - 2019

Y1 - 2019

N2 - Background/Objectives: The interaction between fasting plasma glucose (FPG) and fasting insulin (FI) concentrations and diets with different carbohydrate content were studied as prognostic markers of weight loss as recent studies up to 6 months of duration have suggested the importance of these biomarkers.Subjects/Methods: This was a retrospective analysis of a clinical trial where participants with obesity were randomized to an ad libitum low-carbohydrate diet or a low-fat diet with low energy content (1200–1800 kcal/day [≈ 5.0–7.5 MJ/d]; ≤ 30% calories from fat) for 24 months. Participants were categorized (pretreatment) as normoglycemic (FPG < 5.6 mmol/L) or prediabetic (FPG ≥ 5.6–6.9 mmol/L) and further stratified by median FI. Linear mixed models were used to examine outcomes by FPG and FI values.Results: After 2 years, participants with prediabetes and high FI lost 7.2 kg (95% CI 2.1;12.2, P = 0.005) more with the low-fat than low-carbohydrate diet, whereas those with prediabetes and low FI tended to lose 6.2 kg (95% CI −0.9;13.3, P = 0.088) more on the low-carbohydrate diet than low-fat diet [mean difference: 13.3 kg (95% CI 4.6;22.0, P = 0.003)]. No differences between diets were found among participants with normoglycemia and either high or low FI (both P ≥ 0.16).Conclusions: Fasting plasma glucose and insulin are strong predictors of the weight loss response to diets with different macronutrient composition and might be a useful approach for personalized weight management.

AB - Background/Objectives: The interaction between fasting plasma glucose (FPG) and fasting insulin (FI) concentrations and diets with different carbohydrate content were studied as prognostic markers of weight loss as recent studies up to 6 months of duration have suggested the importance of these biomarkers.Subjects/Methods: This was a retrospective analysis of a clinical trial where participants with obesity were randomized to an ad libitum low-carbohydrate diet or a low-fat diet with low energy content (1200–1800 kcal/day [≈ 5.0–7.5 MJ/d]; ≤ 30% calories from fat) for 24 months. Participants were categorized (pretreatment) as normoglycemic (FPG < 5.6 mmol/L) or prediabetic (FPG ≥ 5.6–6.9 mmol/L) and further stratified by median FI. Linear mixed models were used to examine outcomes by FPG and FI values.Results: After 2 years, participants with prediabetes and high FI lost 7.2 kg (95% CI 2.1;12.2, P = 0.005) more with the low-fat than low-carbohydrate diet, whereas those with prediabetes and low FI tended to lose 6.2 kg (95% CI −0.9;13.3, P = 0.088) more on the low-carbohydrate diet than low-fat diet [mean difference: 13.3 kg (95% CI 4.6;22.0, P = 0.003)]. No differences between diets were found among participants with normoglycemia and either high or low FI (both P ≥ 0.16).Conclusions: Fasting plasma glucose and insulin are strong predictors of the weight loss response to diets with different macronutrient composition and might be a useful approach for personalized weight management.

U2 - 10.1038/s41366-018-0298-4

DO - 10.1038/s41366-018-0298-4

M3 - Journal article

C2 - 30568260

VL - 43

SP - 2037

EP - 2044

JO - International Journal of Obesity

JF - International Journal of Obesity

SN - 0307-0565

ER -

ID: 210113185