Evidence map›Paper›PMID 34705855›Full record

ArticlePloS one2021

Relationship between obesity-related anthropometric indicators and cognitive function in Chinese suburb-dwelling older adults.

Weibo Ma, Hui Zhang, Ning Wu, Yuewen Liu, Peipei Han, Feng Wang, Jingru Wang, Fandi Xie, Shumeng Niu, Hao Hu and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 25 citations in OpenAlex.

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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

15 authors at 2 institutions in 1 country.

Weibo MaDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Hui ZhangDepartment of Rehabilitation Clinic, Shanghai Jiangwan Hospital, Shanghai, China.
Ning WuDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Yuewen LiuDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Peipei HanDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Feng WangDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Jingru WangDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Fandi XieDepartment of Rehabilitation Clinic, Shanghai Jiangwan Hospital, Shanghai, China.
Shumeng NiuDepartment of Rehabilitation Clinic, Shanghai Jiangwan Hospital, Shanghai, China.
Hao HuDepartment of Rehabilitation Clinic, Shanghai Jiangwan Hospital, Shanghai, China.
Chenyu ZhangDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Nuo ChenDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Yichen ZhangDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Qi GuoDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.ORCID 0000-0003-0439-8274
Ying YuDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Shanghai University of Medicine and Health Sciences · CNShanghai Hospital Development Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies relating obesity to cognition in older people show conflicting results, which may be explained by the choice of obesity indicators.

objectivesThis study aimed to investigate the relationship between obesity-related indicators and cognitive impairment, especially between different age or gender subgroups, and explore whether obesity-related indicators were related to specific cognitive domains.

methodsThis was a cross-sectional study on 1753 participants aged ≥ 60 years (41.0% men; aged 71.36 ± 5.96 years). Obesity-related indicators included body mass index (BMI), waist circumference (WC), calf circumference (CC), waist to hip ratio (WHR), waist to calf circumstance ratio (WCR), fat to fat-free mass ratio (FM/FFM). The Mini-Mental State Examination scale (MMSE) was used to assess cognitive function. Cognitive impairment was defined as a score ≤ 17 for illiterates, ≤ 20 for participants with primary school education, and ≤ 24 for those with junior high school degrees or above. Multiple logistic regression analysis was used to estimate multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Restricted cubic splines were used to analyze and visualize the linear relationships.

resultsThe prevalence of cognitive impairment was 18.77%. In the fully adjusted model, CC was negatively associated with cognitive impairment (OR = 0.94, 95% CI: 0.90-0.98). Further analysis showed that CC correlated positively with recall and place orientation. A higher FM/FFM was found to be associated with a higher prevalence of cognitive impairment (OR: 1.44, 95%CI: 0.88-2.35, P for trend = 0.029); this association was notable in women (P for trend = 0.002) and the oldest (P for trend = 0.009), and so did the potential effect of BMI on cognitive impairment (70-80 years: P for trend = 0.011; ≥ 80 years: P for trend = 0.013). No statistically significant association was found between cognitive impairment and WC, WHR, or WCR.

conclusionCC and FM/FFM were associated with cognitive impairment in older people. Future research needs to distinguish the effects of fat and muscle mass on cognitive function, with special attention to different ages and genders.

Indexed as

AgedBody Weights and MeasuresChinaCognitive DysfunctionCross-Sectional StudiesFemaleHumansMaleObesityRisk Factors

Identifiers

PMID34705855
PMCPMC8550380
OpenAlexW3211328646

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.