Evidence map›Paper›PMID 36235562›Full record

ArticleNutrients2022

Predictive Roles of Basal Metabolic Rate and Body Water Distribution in Sarcopenia and Sarcopenic Obesity: The link to Carbohydrates.

Lizheng Guan, Tiantian Li, Xuan Wang, Kang Yu, Rong Xiao, Yuandi Xi

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  3. Relationship between body water distribution and sarcopenia in older adults: a systematic review.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
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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

6 authors at 2 institutions in 1 country.

Lizheng GuanBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Tiantian LiBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Xuan WangBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Kang YuDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Beijing 100730, China.ORCID 0000-0002-6939-7275
Rong XiaoBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Yuandi XiBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.ORCID 0000-0002-7430-8230
Capital Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Chinese Nutrition Society CNS-DSM2018A31Chinese Nutrition Society CNS-Feihe2021-110Chinese Nutrition Society DIC2019-02Key Laboratory of Trace Element and Nutrition, National Health Commission of China WLKFZ202201National Natural Science Foundation of China 81973018National Natural Science Foundation of China 82003459
6 · The paper itself

Abstract

Sarcopenic obesity is a new category of obesity and is a specific condition of sarcopenia. This study aimed to find the relationship of the basal metabolic rate (BMR) and body water distribution with muscle health and their prospective roles in screening for sarcopenic obesity and sarcopenia. The role of nutrients such as carbohydrates in the relationship was further detected. A total of 402 elderly subjects were recruited. Body composition was estimated by bioelectrical impedance analysis. Sarcopenia was defined by the Asian Working Group for Sarcopenia 2019. The cutoff values were determined by the receiver operating characteristic curve. Mediation analyses were performed using SPSS PROCESS. Higher BMR and BMR/body surface area (BSA) were protective factors against sarcopenic obesity (OR = 0.047, p = 0.004; OR = 0.035, p = 0.002) and sarcopenia (OR = 0.085, p = 0.001; OR = 0.100, p = 0.003) in elderly people. Low extracellular water (ECW)/intracellular water (ICW) and ECW/total body water (TBW) were negatively correlated with the skeletal muscle index (SMI). The intake of dietary carbohydrates in people with sarcopenic obesity was the lowest, but in subjects with obesity, it was the highest (p = 0.023). The results of the moderated mediation model showed that BMR fully mediated the positive relationship between carbohydrates and SMI, which was more obvious in the population with an abnormal body water distribution. BMR or BMR/BSA had the potential role of predicting a higher risk of sarcopenic obesity and sarcopenia. Higher BMR and lower ECW/ICW and ECW/TBW may benefit muscle health. The overconsumption of carbohydrates (especially > AMDR) might be a risk factor for obesity. Moderate dietary carbohydrate intake might promote SMI by regulating BMR and body water distribution in the elderly.

Indexed as

SarcopeniaAgedBasal MetabolismBody CompositionBody WaterDietary CarbohydratesHumansMuscle, SkeletalObesityWaterDietary CarbohydratesWaterbasal metabolic ratebody watercarbohydratessarcopeniasarcopenic obesity

Identifiers

PMID36235562
PMCPMC9571591
OpenAlexW4296615553

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.