Evidence map›Paper›PMID 34682612›Full record

ArticleInternational journal of environmental research and public health2021

Association between Dietary Patterns and Frailty Prevalence in Shanghai Suburban Elders: A Cross-Sectional Study.

Yingchuan Wang, Yue Huang, Han Wu, Gengsheng He, Shuguang Li, Bo Chen

Abstract read
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Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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19citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

6 authors.

Yingchuan WangDepartment of Nutrition and Food Hygiene, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
Yue HuangDepartment of Food Science and Nutrition, Shanghai Business School, Shanghai 200235, China.
Han WuDepartment of Nutrition and Food Hygiene, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
Gengsheng HeDepartment of Nutrition and Food Hygiene, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
Shuguang LiDepartment of Nutrition and Food Hygiene, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
Bo ChenDepartment of Nutrition and Food Hygiene, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0001-9646-1474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the association between dietary patterns with frailty phenotypes in an elderly Chinese population.

methodsA cross-sectional study was performed in 780 Shanghai suburban elders aged 65-74 in 2019. Dietary data were collected using a food frequency questionnaire. Adherence to a priori dietary patterns, including the Chinese Healthy Eating Index (CHEI), Dietary Approaches to Stop Hypertension (DASH) diet and Mediterranean Diet (MD) were calculated. Three a posteriori dietary patterns were identified by factor analysis, namely, "protein-rich"; "vegetables"; and "sugar, oil, and condiments". Frailty was defined using the Fried frailty phenotype scale. Ordinal multiple logistic regression was applied to examine the associations between dietary patterns and frailty prevalence.

resultsThe prevalences of pre-frailty and frailty were 47.69% and 3.85%, respectively. Participants with a higher DASH score had a lower frailty prevalence in the sex- and age-adjusted models of the 780 subjects (OR = 0.97 (95% CI: 0.94-0.99),

conclusionA better diet quality as characterized by DASH and "protein-rich" was associated with a reduced prevalence of frailty in Shanghai suburban elders. The correlation of CHEI, MD or a posteriori dietary patterns with the development of frailty in Chinese older people remains to be explored.

Indexed as

Diet, MediterraneanFrailtyAgedChinaCross-Sectional StudiesFeeding BehaviorHumansPrevalenceSurveys and QuestionnairesChineseDASHdietary patternelderlyfrailty

Identifiers

PMID34682612
PMCPMC8535511

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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.