Evidence map›Paper›PMID 38732585›Full record

ArticleNutrients2024

The Association of Malnutrition and Health-Related Factors among 474,467 Older Community-Dwellers: A Population-Based Data Mining Study in Guangzhou, China.

Wei-Quan Lin, Ting Xiao, Ying-Ying Fang, Min-Ying Sun, Yun-Ou Yang, Jia-Min Chen, Chun-Quan Ou, Hui Liu

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline 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

8 authors.

Wei-Quan LinDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.ORCID 0000-0003-0484-1715
Ting XiaoState Key Laboratory of Organ Failure Research, School of Public Health, Southern Medical University, Guangzhou 511436, China.
Ying-Ying FangDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Min-Ying SunDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Yun-Ou YangDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Jia-Min ChenDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Chun-Quan OuState Key Laboratory of Organ Failure Research, School of Public Health, Southern Medical University, Guangzhou 511436, China.ORCID 0000-0001-6866-7213
Hui LiuDepartment of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.

Funding

Basic and Applied Research Project of Guangzhou SL2022A03J01446Basic Research Project of Key Laboratory of Guangzhou No.202102100001National Natural Science Foundation of China 72104061Science and Technology Plan Project of Guangzhou [202201010022] and Safe Kids Worldwide-China 202201010022The Key Project of Medicine Discipline of Guangzhou No.2021-2023-12
6 · The paper itself

Abstract

backgroundThis study aimed to examine the prevalence and associated factors of malnutrition in older community-dwellers and explore the interaction between associated factors.

methodsA total of 474,467 older community-dwellers aged 65 or above were selected in Guangzhou, China. We used a two-step methodology to detect the associated factors of malnutrition and constructed logistic regression models to explore the influencing factors and interactive effects on three patterns of malnutrition.

resultsThe prevalence of malnutrition was 22.28%. Older adults with both hypertension and diabetes (RERI = 0.13), both meat or fish diet and hypertension (RERI = 0.79), and both meat or fish diet and diabetes (RERI = 0.81) had positive additive interaction effects on the risk of obesity, whereas those on a vegetarian diet with hypertension (RERI = -0.25) or diabetes (RERI = -0.19) had negative additive interaction effects. Moreover, the interactions of physical activity with a meat or fish diet (RERI = -0.84) or dyslipidemia (RERI = -0.09) could lower the risk of obesity.

conclusionsMalnutrition was influenced by different health factors, and there were interactions between these influencing factors. Pertinent dietary instruction should be given according to different nutritional status indexes and the prevalence of metabolic diseases to avoid the occurrences of malnutrition among older adults.

Indexed as

Data MiningHypertensionMalnutritionAgedAged, 80 and overChinaDiabetes MellitusDietDyslipidemiasExerciseFemaleHumansIndependent LivingLogistic ModelsMaleNutritional Statusdata mininghealth-related factorsolder community-dwellerspatterns of malnutritionprevalence

Identifiers

PMID38732585
PMCPMC11085532

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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.