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探索个性化饮食建议对有代谢综合征前期且有积极性的个体改善健康的潜力:前后测研究。

Exploring the Potential of Personalized Dietary Advice for Health Improvement in Motivated Individuals With Premetabolic Syndrome: Pretest-Posttest Study.

作者信息

van der Haar Sandra, Hoevenaars Femke P M, van den Brink Willem J, van den Broek Tim, Timmer Mariëlle, Boorsma André, Doets Esmée L

机构信息

Wageningen Food & Biobased Research, Wageningen University & Research, Wageningen, Netherlands.

Microbiology & Systems Biology Department, TNO, Netherlands Organization for Applied Scientific Research, Zeist, Netherlands.

出版信息

JMIR Form Res. 2021 Jun 24;5(6):e25043. doi: 10.2196/25043.

DOI:10.2196/25043
PMID:34185002
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8277310/
Abstract

BACKGROUND

Dietary quality plays an essential role in the prevention and management of metabolic syndrome (MetS).

OBJECTIVE

The aim of this pilot study is to organize personalized dietary advice in a real-life setting and to explore the effects on dietary intake, metabolic health, and perceived health.

METHODS

We followed a one-group pretest-posttest design and included 37 individuals at risk of MetS, who indicated motivation to change dietary behavior. For a period of 16 weeks, participants received personalized advice (t=0 and t=8) and feedback (t=0, t=4, t=8, t=12 and t=16) on dietary quality and metabolic health (ie, waist circumference, BMI, blood pressure, lipid profile, fasting glucose levels, and C-peptide). Personalized advice was generated in a two-stage process. In stage 1, an automated algorithm generated advice per food group, integrating data on individual dietary quality (Dutch Healthy Diet Index; total score 8-80) and metabolic health parameters. Stage 2 included a telephone consultation with a trained dietitian to define a personal dietary behavior change strategy and to discuss individual preferences. Dietary quality and metabolic health markers were assessed at t=0, t=8, and t=16. Self-perceived health was evaluated on 7-point Likert scales at t=0 and t=16.

RESULTS

At the end of the study period, dietary quality was significantly improved compared with the baseline (Dutch Healthy Diet Index +4.3; P<.001). In addition, lipid profile (triglycerides, P=.02; total cholesterol, P=.01; high-density lipoprotein, P<.001; and low-density lipoprotein, P<.001), BMI (P<.001), waist circumference (P=.01), and C-peptide (P=.01) were all significantly improved, whereas plasma glucose increased by 0.23 nmol/L (P=.04). In line with these results, self-perceived health scores were higher at t=16 weeks than at baseline (+0.67; P=.005).

CONCLUSIONS

This exploratory study showed that personalized dietary advice resulted in positive effects on dietary behavior, metabolic health, and self-perceived health in motivated pre-MetS adults. The study was performed in a do-it-yourself setting, highlighting the potential of at-home health improvement through dietary changes.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04595669; https://clinicaltrials.gov/ct2/show/NCT04595669.

摘要

背景

饮食质量在代谢综合征(MetS)的预防和管理中起着至关重要的作用。

目的

本试点研究的目的是在现实生活环境中提供个性化饮食建议,并探讨其对饮食摄入、代谢健康和自我感知健康的影响。

方法

我们采用单组前后测设计,纳入了37名有MetS风险且表示有改变饮食行为动机的个体。在16周的时间里,参与者收到了关于饮食质量和代谢健康(即腰围、体重指数、血压、血脂谱、空腹血糖水平和C肽)的个性化建议(t = 0和t = 8)以及反馈(t = 0、t = 4、t = 8、t = 12和t = 16)。个性化建议分两个阶段生成。在第一阶段,一个自动化算法根据个体饮食质量(荷兰健康饮食指数;总分8 - 80)和代谢健康参数为每个食物组生成建议。第二阶段包括与一名经过培训的营养师进行电话咨询,以确定个人饮食行为改变策略并讨论个人偏好。在t = 0、t = 8和t = 16时评估饮食质量和代谢健康指标。在t = 0和t = 16时,通过7点李克特量表评估自我感知健康。

结果

在研究期结束时,与基线相比,饮食质量有显著改善(荷兰健康饮食指数 +4.3;P <.001)。此外,血脂谱(甘油三酯,P =.02;总胆固醇,P =.01;高密度脂蛋白,P <.001;低密度脂蛋白,P <.001)、体重指数(P <.001)、腰围(P =.01)和C肽(P =.01)均有显著改善,而血糖水平升高了0.23 nmol/L(P =.04)。与这些结果一致,在16周时自我感知健康得分高于基线(+0.67;P =.005)。

结论

这项探索性研究表明,个性化饮食建议对有动机的MetS前期成年人的饮食行为、代谢健康和自我感知健康产生了积极影响。该研究是在自助环境中进行的,突出了通过饮食改变在家中改善健康的潜力。

试验注册

ClinicalTrials.gov NCT04595669;https://clinicaltrials.gov/ct2/show/NCT04595669 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c6/8277310/2e0e5ebc757d/formative_v5i6e25043_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c6/8277310/35794767ce33/formative_v5i6e25043_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c6/8277310/2e0e5ebc757d/formative_v5i6e25043_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c6/8277310/35794767ce33/formative_v5i6e25043_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c6/8277310/2e0e5ebc757d/formative_v5i6e25043_fig2.jpg

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