Evidence map›Paper›PMID 30341119›Full record

ArticleBMJ open2018

Body mass index, waist-to-hip ratio and cognitive function among Chinese elderly: a cross-sectional study.

Tao Zhang, Rui Yan, Qifeng Chen, Xuhua Ying, Yujia Zhai, Fudong Li, Xinyi Wang, Fan He, Chiyu Ye, Junfen Lin

Erratum issuedAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Tao ZhangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Rui YanZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Qifeng ChenShaoxing Center for Disease Control and Prevention, Shaoxing, Zhejiang, China.
Xuhua YingYuhuan Center for Disease Control and Prevention, Taizhou, Zhejiang, China.
Yujia ZhaiZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Fudong LiZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Xinyi WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Fan HeZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Chiyu YeZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Junfen LinZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the associations between body mass index (BMI), waist-to-hip ratio (WHR) and cognitive function among Chinese elderly.

designCross-sectional study.

settingCommunity.

participantsData were obtained from the baseline survey of a community-based cohort in Zhejiang Province, and 9326 persons aged 60 years and older were enrolled. PRIMARY OUTCOME MEASURES: We investigated the association between BMI and cognition, and then explored the association between WHR and cognition across different quartiles of BMI.

resultsA sample of 9087 persons was used in this study, including 4375 men and 4712 women. Higher WHR increased cognitive impairment risk in those with BMI >25.3 kg/m

conclusionsHigher WHR could increase the risk of cognitive impairment among elderly with BMI >25.3 kg/m

Indexed as

Body Mass IndexCognitionWaist-Hip RatioAgedAged, 80 and overChinaCognitive DysfunctionCross-Sectional StudiesFemaleGeriatric AssessmentHumansLogistic ModelsMaleMental Status and Dementia TestsMiddle AgedRisk Factorsabdominal obesitybody mass indexchinesecognitive impairmentelderly

Identifiers

PMID30341119
PMCPMC6196809

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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.