Evidence map›Paper›PMID 38605376›Full record

ArticleTrials2024

Effectiveness of personalized meal recommendation in improving dietary behaviors of Chinese community-dwelling elders: study protocol for a cluster randomized controlled trial.

Zidu Xu, Xiaowei Xu, Lianglong Sun, Zhen Guo, Jianqiang Lai, Lin Kang, Jiao Li

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Zidu Xu *School of Nursing, Columbia University, New York, NY, USA. znx2000@cumc.columbia.edu.
Xiaowei Xu *Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, 3rd Yabao Road, Beijing, 100020, Chaoyang District, China.
Lianglong SunInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, 3rd Yabao Road, Beijing, 100020, Chaoyang District, China.
Zhen GuoInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, 3rd Yabao Road, Beijing, 100020, Chaoyang District, China.
Jianqiang LaiChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
Lin Kang *Department of Geriatrics, Peking Union Medical College Hospital, Beijing, China.
Jiao Li *Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, 3rd Yabao Road, Beijing, 100020, Chaoyang District, China. li.jiao@imicams.ac.cn.ORCID http://orcid.org/0000-0001-6391-8343
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChinese Center For Disease Control and Prevention · CN

Funding

Chinese Academy of Medical Sciences 2021-I2M-1-056Hunan Provincial Science and Technology Department 2021SK2024
6 · The paper itself

Abstract

backgroundInappropriate eating behaviors, particularly a lack of food diversity and poor diet quality, have a significant impact on the prognosis of certain chronic conditions and exacerbate these conditions in the community-dwelling elderly population. Current dietary interventions for the elderly have not adequately considered the nutritional needs associated with multiple chronic conditions and personal dietary preferences of elderly individuals. A personalized recommendation system has been recognized as a promising approach to address this gap. However, its effectiveness as a component of an elderly-targeted dietary intervention in real-world settings remains unknown. Additionally, it is unclear whether this intervention approach will be user-friendly for the elderly. Therefore, this study aims to examine the effectiveness of a personalized meal recommendation system designed to improve dietary behavior in community-dwelling elders. The implementation process in terms of System usability and satisfaction will also be assessed.

methodsThe trial has been designed as a 6-month, non-blinded, parallel two-arm trial. One hundred fifty community-dwelling elders who meet the eligibility criteria will be enrolled. Subjects will be allocated to either the intervention group, receiving personalized meal recommendations and access to corresponding food provided as one component of the intervention, as well as health education on elder nutrition topics, or the control group, which will receive nutritional health education lectures. Outcomes will be measured at three time points: baseline at 0 months, 3 months, and 6 months. The primary outcomes will include dietary diversity (DDS) and diet quality (CDGI-E) of enrolled community-dwelling elders, representing their dietary behavior improvement, along with dietary behavior adherence to recommended meals. Secondary outcomes will measure the perceived acceptability and usability of the personalized meal recommendation system for the intervention group. Exploratory outcomes will include changes in the nutritional status and anthropometric measurements of the community-dwelling elders. DISCUSSION: This study aims to examine the effectiveness, acceptability, and usability of a personalized meal recommendation system as a data-driven dietary intervention to benefit community-dwelling elders. The successful implementation will inform the future development and integration of digital health strategies in daily nutrition support for the elderly.

trial registrationChinese Clinical Trial Registry ChiCTR2300074912. Registered on August 20, 2023, https://www.chictr.org.cn/showproj.html?proj=127583.

Indexed as

Independent LivingNutritional StatusAgedChinaDietEast Asian PeopleHumansMealsRandomized Controlled Trials as TopicCommunityElderly nutritionPersonalized meal recommendationRandomized controlled trialStudy protocol

Identifiers

PMID38605376
PMCPMC11007920
OpenAlexW4394717860

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.