Evidence map›Paper›PMID 35002957›Full record

ArticleFrontiers in endocrinology2021

Relationship of Fat Mass Index and Fat Free Mass Index With Body Mass Index and Association With Function, Cognition and Sarcopenia in Pre-Frail Older Adults.

Reshma Aziz Merchant, Santhosh Seetharaman, Lydia Au, Michael Wai Kit Wong, Beatrix Ling Ling Wong, Li Feng Tan, Matthew Zhixuan Chen, Shu Ee Ng, John Tshon Yit Soong, Richard Jor Yeong Hui and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 2% 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

84 citing papers in PubMed, 2 syntheses or guidelines pooled it, 124 citations in OpenAlex.

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24 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 2 countries.

Reshma Aziz MerchantDivision of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore, Singapore.
Santhosh SeetharamanHealthy Ageing Programme, Alexandra Hospital, National University Health System, Singapore, Singapore.
Lydia AuDepartment of Geriatrics Medicine, Ng Teng Fong General Hospital, Singapore, Singapore.
Michael Wai Kit WongYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Beatrix Ling Ling WongDivision of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore, Singapore.
Li Feng TanHealthy Ageing Programme, Alexandra Hospital, National University Health System, Singapore, Singapore.
Matthew Zhixuan ChenDivision of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore, Singapore.
Shu Ee NgDivision of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore, Singapore.
John Tshon Yit SoongDivision of Advanced Internal Medicine, Department of Medicine, National University Hospital, Singapore, Singapore.
Richard Jor Yeong HuiNational University Polyclinics, National University Health System, Singapore, Singapore.
Sing Cheer KwekNational University Polyclinics, National University Health System, Singapore, Singapore.
John E MorleyDivision of Geriatric Medicine, Saint Louis University School of Medicine, St. Louis, MO, United States.
National University Hospital · SGNational University Health System · SGNational University of Singapore · SGNg Teng Fong General Hospital · SGSaint Louis University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Body mass index (BMI) is an inadequate marker of obesity, and cannot distinguish between fat mass, fat free mass and distribution of adipose tissue. The purpose of this study was twofold. First, to assess cross-sectional relationship of BMI with fat mass index (FMI), fat free mass index (FFMI) and ratio of fat mass to fat free mass (FM/FFM). Second, to study the association of FMI, FFMI and FM/FFM with physical function including sarcopenia, and cognition in pre-frail older adults. Methods: Cross-sectional study of 191 pre-frail participants ≥ 65 years, 57.1% females. Data was collected on demographics, cognition [Montreal Cognitive Assessment (MoCA)], function, frailty, calf circumference, handgrip strength (HGS), short physical performance battery (SPPB) and gait speed. Body composition was measured using InBody S10. FMI, FFMI and FM/FFM were classified into tertiles (T1, T2, T3) with T1 classified as lowest and T3 highest tertile respectively and stratified by BMI. Results: Higher FFMI and lower FM/FFM in the high BMI group were associated with better functional outcomes. Prevalence of low muscle mass was higher in the normal BMI group. FMI and FM/FFM were significantly higher in females and FFMI in males with significant gender differences except for FFMI in ≥ 80 years old. Small calf circumference was significantly less prevalent in the highest tertile of FMI, FM/FMI and FFMI. Prevalence of sarcopenic obesity and low physical function (HGS, gait speed and SPPB scores) were significantly higher in the highest FMI and FM/FFM tertile. Highest FFMI tertile group had higher physical function, higher MoCA scores, lower prevalence of sarcopenic obesity and sarcopenia, After adjustment, highest tertile of FFMI was associated with lower odds of sarcopenia especially in the high BMI group. Highest tertile of FM/FFM was associated with higher odds of sarcopenia. Higher BMI was associated with lower odds of sarcopenia. Conclusion: FFMI and FM/FFM may be a better predictor of functional outcomes in pre-frail older adults than BMI. Cut-off values for healthy BMI values and role of calf circumference as a screening tool for sarcopenia need to be validated in larger population. Health promotion intervention should focus on FFMI increment.

Indexed as

Adipose TissueAgedBody CompositionBody Mass IndexCognitionCross-Sectional StudiesFatsFemaleFrail ElderlyHand StrengthHumansMaleObesitySarcopeniaFatsbody compositioncognitionfat-free mass indexfat mass indexphysical functionsarcopenia

Identifiers

PMID35002957
PMCPMC8741276
OpenAlexW4200490742

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.