Evidence for the protein leverage hypothesis in preschool children prone to obesity

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Evidence for the protein leverage hypothesis in preschool children prone to obesity. / Zhang, Hanyue; Senior, Alistair M.; Saner, Christoph; Olsen, Nanna J.; Larsen, Sofus C.; Simpson, Stephen J.; Raubenheimer, David; Heitmann, Berit L.

I: Clinical Nutrition, Bind 42, Nr. 11, 2023, s. 2249-2257.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Zhang, H, Senior, AM, Saner, C, Olsen, NJ, Larsen, SC, Simpson, SJ, Raubenheimer, D & Heitmann, BL 2023, 'Evidence for the protein leverage hypothesis in preschool children prone to obesity', Clinical Nutrition, bind 42, nr. 11, s. 2249-2257. https://doi.org/10.1016/j.clnu.2023.09.025

APA

Zhang, H., Senior, A. M., Saner, C., Olsen, N. J., Larsen, S. C., Simpson, S. J., Raubenheimer, D., & Heitmann, B. L. (2023). Evidence for the protein leverage hypothesis in preschool children prone to obesity. Clinical Nutrition, 42(11), 2249-2257. https://doi.org/10.1016/j.clnu.2023.09.025

Vancouver

Zhang H, Senior AM, Saner C, Olsen NJ, Larsen SC, Simpson SJ o.a. Evidence for the protein leverage hypothesis in preschool children prone to obesity. Clinical Nutrition. 2023;42(11):2249-2257. https://doi.org/10.1016/j.clnu.2023.09.025

Author

Zhang, Hanyue ; Senior, Alistair M. ; Saner, Christoph ; Olsen, Nanna J. ; Larsen, Sofus C. ; Simpson, Stephen J. ; Raubenheimer, David ; Heitmann, Berit L. / Evidence for the protein leverage hypothesis in preschool children prone to obesity. I: Clinical Nutrition. 2023 ; Bind 42, Nr. 11. s. 2249-2257.

Bibtex

@article{871c31c0eebc49709973e5e3da3431c0,
title = "Evidence for the protein leverage hypothesis in preschool children prone to obesity",
abstract = "Background & aims: The protein leverage hypothesis (PLH) proposed that strict regulation of protein intake drives energy overconsumption and obesity when diets are diluted by fat and/or carbohydrates. Evidence about the PLH has been found in adults, while studies in children are limited. Thus, we aimed to test the PLH by assessing the role of dietary protein on macronutrients, energy intake, and obesity risk using data from preschool children followed for 1.3 years. Methods: 553 preschool children aged 2–6 years from the {\textquoteleft}Healthy Start{\textquoteright} project were included. Exposures: The proportion of energy intake from protein, fat, and carbohydrates collected from a 4-day dietary record. Outcomes: Energy intake, BMI z-score, fat mass (FM) %, waist- (WHtR) and hip-height ratio (HHtR). Power function analysis was used to test the leverage of protein on energy intake. Mixture models were used to explore interactive associations of macronutrient composition on all these outcomes, with results visualized as response surfaces on the nutritional geometry. Results: Evidence for the PLH was confirmed in preschool children. The distribution of protein intake (% of MJ, IQR: 3.2) varied substantially less than for carbohydrate (IQR: 5.7) or fat (IQR: 6.3) intakes, suggesting protein intake is most tightly regulated. Absolute energy intake varied inversely with dietary percentage energy from protein (L = −0.14, 95% CI: −0.25, −0.04). Compared to children with high fat or carbohydrate intakes, children with high dietary protein intake (>20% of MJ) had a greater decrease in WHtR and HHtR over the 1.3-year follow-up, offering evidence for the PLH in prospective analysis. But no association was observed between macronutrient distribution and changes in BMI z-score or FM%. Conclusions: In this study in preschool children, protein intake was the most tightly regulated macronutrient, and energy intake was an inverse function of dietary protein concentration, indicating the evidence for protein leverage. Increases in WHtR and HHtR were principally associated with the dietary protein dilution, supporting the PLH. These findings highlight the importance of protein in children's diets, which seems to have significant implications for childhood obesity risk and overall health.",
keywords = "Children, Energy intake, Nutritional geometry, Obesity, Protein leverage hypothesis",
author = "Hanyue Zhang and Senior, {Alistair M.} and Christoph Saner and Olsen, {Nanna J.} and Larsen, {Sofus C.} and Simpson, {Stephen J.} and David Raubenheimer and Heitmann, {Berit L.}",
note = "Publisher Copyright: {\textcopyright} 2023",
year = "2023",
doi = "10.1016/j.clnu.2023.09.025",
language = "English",
volume = "42",
pages = "2249--2257",
journal = "Clinical Nutrition",
issn = "0261-5614",
publisher = "Elsevier",
number = "11",

}

RIS

TY - JOUR

T1 - Evidence for the protein leverage hypothesis in preschool children prone to obesity

AU - Zhang, Hanyue

AU - Senior, Alistair M.

AU - Saner, Christoph

AU - Olsen, Nanna J.

AU - Larsen, Sofus C.

AU - Simpson, Stephen J.

AU - Raubenheimer, David

AU - Heitmann, Berit L.

N1 - Publisher Copyright: © 2023

PY - 2023

Y1 - 2023

N2 - Background & aims: The protein leverage hypothesis (PLH) proposed that strict regulation of protein intake drives energy overconsumption and obesity when diets are diluted by fat and/or carbohydrates. Evidence about the PLH has been found in adults, while studies in children are limited. Thus, we aimed to test the PLH by assessing the role of dietary protein on macronutrients, energy intake, and obesity risk using data from preschool children followed for 1.3 years. Methods: 553 preschool children aged 2–6 years from the ‘Healthy Start’ project were included. Exposures: The proportion of energy intake from protein, fat, and carbohydrates collected from a 4-day dietary record. Outcomes: Energy intake, BMI z-score, fat mass (FM) %, waist- (WHtR) and hip-height ratio (HHtR). Power function analysis was used to test the leverage of protein on energy intake. Mixture models were used to explore interactive associations of macronutrient composition on all these outcomes, with results visualized as response surfaces on the nutritional geometry. Results: Evidence for the PLH was confirmed in preschool children. The distribution of protein intake (% of MJ, IQR: 3.2) varied substantially less than for carbohydrate (IQR: 5.7) or fat (IQR: 6.3) intakes, suggesting protein intake is most tightly regulated. Absolute energy intake varied inversely with dietary percentage energy from protein (L = −0.14, 95% CI: −0.25, −0.04). Compared to children with high fat or carbohydrate intakes, children with high dietary protein intake (>20% of MJ) had a greater decrease in WHtR and HHtR over the 1.3-year follow-up, offering evidence for the PLH in prospective analysis. But no association was observed between macronutrient distribution and changes in BMI z-score or FM%. Conclusions: In this study in preschool children, protein intake was the most tightly regulated macronutrient, and energy intake was an inverse function of dietary protein concentration, indicating the evidence for protein leverage. Increases in WHtR and HHtR were principally associated with the dietary protein dilution, supporting the PLH. These findings highlight the importance of protein in children's diets, which seems to have significant implications for childhood obesity risk and overall health.

AB - Background & aims: The protein leverage hypothesis (PLH) proposed that strict regulation of protein intake drives energy overconsumption and obesity when diets are diluted by fat and/or carbohydrates. Evidence about the PLH has been found in adults, while studies in children are limited. Thus, we aimed to test the PLH by assessing the role of dietary protein on macronutrients, energy intake, and obesity risk using data from preschool children followed for 1.3 years. Methods: 553 preschool children aged 2–6 years from the ‘Healthy Start’ project were included. Exposures: The proportion of energy intake from protein, fat, and carbohydrates collected from a 4-day dietary record. Outcomes: Energy intake, BMI z-score, fat mass (FM) %, waist- (WHtR) and hip-height ratio (HHtR). Power function analysis was used to test the leverage of protein on energy intake. Mixture models were used to explore interactive associations of macronutrient composition on all these outcomes, with results visualized as response surfaces on the nutritional geometry. Results: Evidence for the PLH was confirmed in preschool children. The distribution of protein intake (% of MJ, IQR: 3.2) varied substantially less than for carbohydrate (IQR: 5.7) or fat (IQR: 6.3) intakes, suggesting protein intake is most tightly regulated. Absolute energy intake varied inversely with dietary percentage energy from protein (L = −0.14, 95% CI: −0.25, −0.04). Compared to children with high fat or carbohydrate intakes, children with high dietary protein intake (>20% of MJ) had a greater decrease in WHtR and HHtR over the 1.3-year follow-up, offering evidence for the PLH in prospective analysis. But no association was observed between macronutrient distribution and changes in BMI z-score or FM%. Conclusions: In this study in preschool children, protein intake was the most tightly regulated macronutrient, and energy intake was an inverse function of dietary protein concentration, indicating the evidence for protein leverage. Increases in WHtR and HHtR were principally associated with the dietary protein dilution, supporting the PLH. These findings highlight the importance of protein in children's diets, which seems to have significant implications for childhood obesity risk and overall health.

KW - Children

KW - Energy intake

KW - Nutritional geometry

KW - Obesity

KW - Protein leverage hypothesis

U2 - 10.1016/j.clnu.2023.09.025

DO - 10.1016/j.clnu.2023.09.025

M3 - Journal article

C2 - 37820518

AN - SCOPUS:85173254744

VL - 42

SP - 2249

EP - 2257

JO - Clinical Nutrition

JF - Clinical Nutrition

SN - 0261-5614

IS - 11

ER -

ID: 374888950