Evidence map›Paper›PMID 29096612›Full record

ArticleBMC geriatrics2017

Relationships between cognitive function and body composition among community-dwelling older adults: a cross-sectional study.

Hye-Mi Noh, Sohee Oh, Hong Ji Song, Eun Young Lee, Jin-Young Jeong, Ohk-Hyun Ryu, Kyung-Soon Hong, Dong-Hyun Kim

Abstract read
In one paragraph

Article in BMC geriatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

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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.

Hye-Mi NohDepartment of Family Medicine, Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Anyang, South Korea.
Sohee OhDepartment of Biostatistics, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, South Korea.
Hong Ji SongDepartment of Family Medicine, Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Anyang, South Korea. hongjisong5@gmail.com.
Eun Young LeeDepartment of Family Medicine, Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Anyang, South Korea.
Jin-Young JeongHallym Research Institute of Clinical Epidemiology, Hallym University, Chuncheon, South Korea.
Ohk-Hyun RyuDepartment of Endocrinology, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon, South Korea.
Kyung-Soon HongDepartment of Cardiology, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon, South Korea.
Dong-Hyun KimDepartment of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, South Korea. dhkims@hallym.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies reported mixed results regarding the association between cognition and body weight in late life. We evaluated the relationships between cognitive function and body composition among community-dwelling older adults.

methodsThree hundred twenty subjects (≥65 years, women 53%) with available data of cognitive function and body composition from 2010 Hallym Aging Study. Cognitive function was assessed using Korean Mini-Mental State Examination (K-MMSE). Dual-energy X-ray absorptiometry (DEXA) was used for measuring body composition including body fat and lean body mass. Anthropometric measurements and laboratory data were collected in clinical examination. Body composition variables were divided into sex-specific tertiles, and examined by multivariable logistic regression.

resultsAmong female, the highest tertile group of fat mass and second tertile group of total lean body mass were associated with lower risk for cognitive impairment compared to the respective first tertile groups (odds ratios, 0.23 and 0.09, respectively; 95% confidence intervals, 0.04-0.88 and 0.01-0.44, respectively) after adjusting for confounding factors. In male, higher arm bone mineral content was associated with lower risk for cognitive impairment, but significance was lost after adjusting for adiponectin, age, and education.

conclusionsHigher fat mass and lean body mass were associated with lower risk of cognitive impairment in older women. These observations suggest that body fat and lean mass later in life might be beneficial for cognition.

Indexed as

Asian PeopleIndependent LivingAbsorptiometry, PhotonAdiponectinAgedAged, 80 and overBody CompositionBody Mass IndexBone DensityCognitionCross-Sectional StudiesFemaleHumansLogistic ModelsMaleNeuropsychological TestsAdiponectinADIPOQ protein, humanBody fatCognitionDual-energy X-ray absorptiometryObesityOlder adult

Identifiers

PMID29096612
PMCPMC5667483

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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.