Evidence map›Paper›PMID 37686817›Full record

ArticleNutrients2023

Dietary Diversity Changes and Cognitive Frailty in Chinese Older Adults: A Prospective Community-Based Cohort Study.

Wen-Fang Zhong, Wei-Qi Song, Xiao-Meng Wang, Zhi-Hao Li, Dong Shen, Dan Liu, Pei-Dong Zhang, Qiao-Qiao Shen, Fen Liang, Ying Nan and 11 more

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

21 authors.

Wen-Fang ZhongDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Wei-Qi SongDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Xiao-Meng WangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Zhi-Hao LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Dong ShenDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Dan LiuDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Pei-Dong ZhangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0003-4847-2296
Qiao-Qiao ShenDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Fen LiangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Ying NanDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Jia-Xuan XiangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Zi-Ting ChenDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Chuan LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Shi-Tian LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Xiao-Gang LvDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Xiu-Rong LinDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Yue-Bin LvNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Xiang GaoDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai 200433, China.ORCID 0000-0003-2617-6509
Virginia Byers KrausDivision of Rheumatology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27701, USA.ORCID 0000-0001-8173-8258
Xiao-Ming ShiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Chen MaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI CATHLEEN S COLON-EMERIC, Susan Nicole Hastings · 2006 to 2026
$24.6M
NIA NIH HHS P30 AG028716NIH HHS NIH P30-AG028716
6 · The paper itself

Abstract

Evidence for the effects of dietary diversity changes and cognitive frailty (CF) in the older adults is not clear. This study aimed to investigate the relationship between dietary diversity changes and CF in older adults Chinese. A total of 14,382 participants (mean age: 82.3 years) were enrolled. Dietary diversity scores (DDSs) were collected and calculated using a food frequency questionnaire. DDS changes between baseline and first follow-up were categorized into nine patterns. The associations between DDS changes and the incidence of CF were estimated using Cox proportional hazards models. During an 80,860 person-year follow-up, 3023 CF cases were identified. Groups with a decrease in DDS had increased CF risk compared with the high-to-high DDS group, with adjusted hazard ratios (HRs; 95% confidence intervals (Cis)) of 1.30 (1.06, 1.59), 2.04 (1.51, 2.74), and 1.81 (1.47, 2.22) for high-to-medium, high-to-low, and medium-to-low groups, respectively. Lower overall DDS groups were associated with greater CF risks, with HRs (95% CIs) of 1.49 (1.19, 1.86) for the low-to-medium group and 1.96 (1.53, 2.52) for the low-to-low group. Compared with the high-to-high group, significant associations with CF were found in other DDS change groups; HRs ranged from 1.38 to 3.12 for the plant-based DDS group and from 1.24 to 1.32 for the animal-based DDS group. Additionally, extreme and moderate declines in overall DDS increased CF risk compared with stable DDS, with HRs (95% CIs) of 1.67 (1.50, 1.86) and 1.13 (1.03, 1.24), respectively. In conclusion, among older adults, a declining or persistently low DDS and a moderately or extremely declining DDS were linked to higher incident CF. Plant-based DDS changes correlated more strongly with CF than animal-based DDS changes.

Indexed as

DietEast Asian PeopleFrailtyAnimalsCognitionCohort StudiesHumansProspective Studiescognitive frailtycohort studydietary diversityolder people

Identifiers

PMID37686817
PMCPMC10490160

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.