Evidence map›Paper›PMID 39448919›Full record

ArticleBMC geriatrics2024

Anthropometric indices in older adults with and without Locomotive Syndrome.

Neda Ahangari, Shima Sum, Samaneh Pourhadi, Reza Ghadimi, Seyed Reza Hosseini, Mohsen Pourghasem, Ehteram Sadat Ilali

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Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Neda AhangariStudent Research Committee, Babol University of Medical Sciences, Babol, Iran.
Shima SumSocial Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Samaneh PourhadiSocial Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran. samaneh.pourhadi@gmail.com.
Reza GhadimiSocial Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Seyed Reza HosseiniSocial Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Mohsen PourghasemCellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Ehteram Sadat IlaliDepartment of Geriatric Nursing, School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLocomotive syndrome is a major challenge for older adults, and anthropometric indices can greatly affect the musculoskeletal system. This study aimed to compare the anthropometric indices between older adults with and without locomotive syndrome.

methodsThis descriptive-analytical study was performed on 211 older adults using random cluster sampling from a population of over-60 individuals covered by comprehensive health service centers in Sari in Autumn, 2021. Participants were divided into two groups: with and without locomotive syndrome. Locomotive syndrome was assessed via the 25-item Geriatric Locomotive Function Scale questionnaire, and the level of anthropometric indices was determined through the Bioelectrical Impedance Analysis device. Data were analyzed by independent t-test, Mann-Whitney U, Chi-Square, and Binary logistic regression in SPSS, Version 23 (P < 0.05).

resultsThe average age of older adult participants was 78.4 ± 6.6 years. In older adults with locomotive syndrome, the average percentage of fat-free mass (P < 0.001) was significantly lower while the average percentage of fat mass and fat mass index (P < 0.001) was significantly higher. Older adults with locomotive syndrome were shorter in height (P < 0.001) and had a higher body mass index (P < 0.05). Fat-free mass percentage (OR = 0.59) and body mass index (OR = 1.4) predicted the incidence of locomotive syndrome in the subjects. Significant differences such as chronic diseases, chronic pain, falls, age, and gender were observed between the two groups (P < 0.05).

conclusionAnthropometric indices can play an important role in the occurrence of locomotive syndrome in older adults. Evaluation of anthropometric indices and management of body composition can help prevent locomotive syndrome and improve the quality of life of older adults.

Indexed as

Geriatric AssessmentLocomotionAgedAged, 80 and overAnthropometryFemaleHumansMaleMobility LimitationSyndromeAnthropometricBody compositionLocomotive syndromeOlder adults

Identifiers

PMID39448919
PMCPMC11500535

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LicenceCC BY-NC-ND
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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.