Energy intake is associated with dietary macronutrient densities: inversely with protein and monounsaturated fat and positively with polyunsaturated fat and carbohydrate among postmenopausal females.

IF 6.5 1区 医学 Q1 NUTRITION & DIETETICS American Journal of Clinical Nutrition Pub Date : 2025-03-13 DOI:10.1016/j.ajcnut.2025.03.011
Ross L Prentice, Aaron K Aragaki, Cheng Zheng, JoAnn E Manson, Lesley F Tinker, Dale A Schoeller, Michele N Ravelli, Daniel Raftery, G A Nagana Gowda, Sandi L Navarro, Ying Huang, Yasmin Mossavar-Rahmani, Robert B Wallace, Karen C Johnson, Johanna W Lampe, Marian L Neuhouser
{"title":"Energy intake is associated with dietary macronutrient densities: inversely with protein and monounsaturated fat and positively with polyunsaturated fat and carbohydrate among postmenopausal females.","authors":"Ross L Prentice, Aaron K Aragaki, Cheng Zheng, JoAnn E Manson, Lesley F Tinker, Dale A Schoeller, Michele N Ravelli, Daniel Raftery, G A Nagana Gowda, Sandi L Navarro, Ying Huang, Yasmin Mossavar-Rahmani, Robert B Wallace, Karen C Johnson, Johanna W Lampe, Marian L Neuhouser","doi":"10.1016/j.ajcnut.2025.03.011","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Associations of the macronutrient composition of the diet with total energy intake (EI) are uncertain, as are associations of macronutrient composition with self-reported energy underreporting.</p><p><strong>Objectives: </strong>We aim to estimate associations of biomarker-assessed EI with both biomarker-assessed and self-reported macronutrient component densities in a Women's Health Initiative (WHI) sub-cohort of postmenopausal U.S. females. Secondarily, we examine energy underreporting using food records, recalls and frequencies, for association with macronutrient densities.</p><p><strong>Design and methods: </strong>We used a previously proposed EI biomarker equation based on doubly-labeled water (DLW) and updated biomarker equations for several macronutrient component densities, to estimate EI and macronutrient component densities in a WHI nutritional biomarkers sub-cohort (n=436; 2007-2009). We used linear regression of EI biomarker values on biomarker and self-reported macronutrient component densities, and of log-EI underreporting values on biomarker densities, to examine targeted associations.</p><p><strong>Results: </strong>Using biomarker assessments, the geometric mean (95% CI) for EI corresponding to a 20% increment in carbohydrate density was 2.0% (0.1%, 3.9%) higher, and for a 20% protein density increment was 2.1% (0.5%, 3.7%) lower. The former was attributable to added sugars. Similarly, EI values for 20% increments in polyunsaturated (PUFA), and monounsaturated (MUFA) fatty acids densities were respectively 1.4% (0.3%, 2.6%) higher, and 1.5% (0.1%, 2.9%) lower. Pertinent associations were either not detected or were substantially attenuated if instead self-reported macronutrient densities were used. Also, EI underreporting was strongly related to self-reported macronutrient densities using food records, recalls, or frequencies.</p><p><strong>Conclusions: </strong>Among U.S. postmenopausal females lower EI was associated with diets relatively high in protein or MUFA, and higher EI was associated with diets relatively high in PUFA or added sugars. These associations are of public health importance, but are mostly missed using self-reported dietary density assessments. Self-reported energy underestimation is substantially associated with self-reported macronutrient densities. This study is registered with clinicaltrials.gov identifier: NCT00000611.</p>","PeriodicalId":50813,"journal":{"name":"American Journal of Clinical Nutrition","volume":" ","pages":""},"PeriodicalIF":6.5000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Clinical Nutrition","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ajcnut.2025.03.011","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Associations of the macronutrient composition of the diet with total energy intake (EI) are uncertain, as are associations of macronutrient composition with self-reported energy underreporting.

Objectives: We aim to estimate associations of biomarker-assessed EI with both biomarker-assessed and self-reported macronutrient component densities in a Women's Health Initiative (WHI) sub-cohort of postmenopausal U.S. females. Secondarily, we examine energy underreporting using food records, recalls and frequencies, for association with macronutrient densities.

Design and methods: We used a previously proposed EI biomarker equation based on doubly-labeled water (DLW) and updated biomarker equations for several macronutrient component densities, to estimate EI and macronutrient component densities in a WHI nutritional biomarkers sub-cohort (n=436; 2007-2009). We used linear regression of EI biomarker values on biomarker and self-reported macronutrient component densities, and of log-EI underreporting values on biomarker densities, to examine targeted associations.

Results: Using biomarker assessments, the geometric mean (95% CI) for EI corresponding to a 20% increment in carbohydrate density was 2.0% (0.1%, 3.9%) higher, and for a 20% protein density increment was 2.1% (0.5%, 3.7%) lower. The former was attributable to added sugars. Similarly, EI values for 20% increments in polyunsaturated (PUFA), and monounsaturated (MUFA) fatty acids densities were respectively 1.4% (0.3%, 2.6%) higher, and 1.5% (0.1%, 2.9%) lower. Pertinent associations were either not detected or were substantially attenuated if instead self-reported macronutrient densities were used. Also, EI underreporting was strongly related to self-reported macronutrient densities using food records, recalls, or frequencies.

Conclusions: Among U.S. postmenopausal females lower EI was associated with diets relatively high in protein or MUFA, and higher EI was associated with diets relatively high in PUFA or added sugars. These associations are of public health importance, but are mostly missed using self-reported dietary density assessments. Self-reported energy underestimation is substantially associated with self-reported macronutrient densities. This study is registered with clinicaltrials.gov identifier: NCT00000611.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
背景:膳食中的宏量营养素构成与总能量摄入(EI)之间的关系尚不确定,宏量营养素构成与自我报告的能量不足之间的关系也不确定:我们的目的是在 "妇女健康行动"(WHI)子队列的绝经后美国女性中,估计生物标志物评估的能量摄入与生物标志物评估和自我报告的宏量营养素成分密度之间的关系。其次,我们利用食物记录、回忆和频率来研究能量漏报与宏量营养素密度的关系:我们使用之前提出的基于双标记水(DLW)的能量指数生物标志物方程和几种宏量营养素成分密度的最新生物标志物方程,对WHI营养生物标志物子队列(人数=436;2007-2009年)中的能量指数和宏量营养素成分密度进行估计。我们利用EI生物标志物值对生物标志物和自我报告的宏量营养素成分密度的线性回归,以及EI低报对数值对生物标志物密度的线性回归,来研究目标关联:通过生物标志物评估,碳水化合物密度增加 20% 所对应的 EI 几何平均数(95% CI)增加 2.0% (0.1%, 3.9%),蛋白质密度增加 20% 所对应的 EI 几何平均数(95% CI)降低 2.1% (0.5%, 3.7%)。前者可归因于添加的糖。同样,多不饱和脂肪酸(PUFA)和单不饱和脂肪酸(MUFA)密度增加 20% 的 EI 值分别增加 1.4%(0.3%,2.6%)和减少 1.5%(0.1%,2.9%)。如果使用自我报告的宏量营养素密度,则不会发现或大大减弱相关联系。此外,EI 低报与使用食物记录、回忆或频率自我报告的宏量营养素密度密切相关:在美国绝经后女性中,较低的 EI 与蛋白质或 MUFA 含量相对较高的饮食有关,而较高的 EI 与 PUFA 或添加糖含量相对较高的饮食有关。这些关联对公共卫生具有重要意义,但使用自我报告的膳食密度评估时大多会忽略这些关联。自我报告的能量低估与自我报告的宏量营养素密度密切相关。本研究已在 clinicaltrials.gov 注册:NCT00000611。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
12.40
自引率
4.20%
发文量
332
审稿时长
38 days
期刊介绍: American Journal of Clinical Nutrition is recognized as the most highly rated peer-reviewed, primary research journal in nutrition and dietetics.It focuses on publishing the latest research on various topics in nutrition, including but not limited to obesity, vitamins and minerals, nutrition and disease, and energy metabolism. Purpose: The purpose of AJCN is to: Publish original research studies relevant to human and clinical nutrition. Consider well-controlled clinical studies describing scientific mechanisms, efficacy, and safety of dietary interventions in the context of disease prevention or health benefits. Encourage public health and epidemiologic studies relevant to human nutrition. Promote innovative investigations of nutritional questions employing epigenetic, genomic, proteomic, and metabolomic approaches. Include solicited editorials, book reviews, solicited or unsolicited review articles, invited controversy position papers, and letters to the Editor related to prior AJCN articles. Peer Review Process: All submitted material with scientific content undergoes peer review by the Editors or their designees before acceptance for publication.
期刊最新文献
Association between more plant-based diets and 24-hour urinary creatinine excretion in 98,813 Dutch females and males: a cross-sectional study. Energy intake is associated with dietary macronutrient densities: inversely with protein and monounsaturated fat and positively with polyunsaturated fat and carbohydrate among postmenopausal females. Regular-fat and low-fat dairy foods and cardiovascular diseases: Perspectives for future dietary recommendations. Individualized nutritional intervention versus routine care for gestational diabetes prevention: A randomized controlled trial. Greenhouse gas emissions in relation to micronutrient intake and implications of energy intake: A comparative analysis of different modelling approaches.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1