Dataset Information

Risk of subsequent gastrointestinal disease assessed by skeletal muscle strength and mass in a prospective cohort study.

ABSTRACT: Skeletal muscle may mutually interact with gastrointestinal disease through metabolic homeostasis and nutritional status and therefore may be a marker for early risk detection. We conducted a prospective cohort analysis including 393,606 participants (mean age 56.0 years, 53.9% female) from the UK Biobank. The exposures were grip strength and skeletal muscle mass (SMM). The primary outcomes were 24 incident gastrointestinal diseases. During a mean follow-up of 12.1 years, we found that one sex-specific SD increase in grip strength and SMM were associated with reduced risk of 16 and 19 gastrointestinal diseases, respectively. For grip strength, the HRs ranged from 0.94 (for ulcerative colitis) to 0.80 (for liver cancers). For SMM, the HRs ranged from 0.92 (for colorectal cancer) to 0.51 (for non-alcoholic fatty liver disease). Our finding suggested that grip strength and SMM might be significant indicators for gastrointestinal diseases risk screen.

SUBMITTER: Dan L

PROVIDER: S-EPMC10972794 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Risk of subsequent gastrointestinal disease assessed by skeletal muscle strength and mass in a prospective cohort study.

Dan Lintao L Qin Pei P Xie Siyuan S Sun Yuhao Y Fu Tian T Ruan Xixian X Shi Wenming W Chen Jie J Cai Jianting J Li Xue X

iScience 20240305 4

Skeletal muscle may mutually interact with gastrointestinal disease through metabolic homeostasis and nutritional status and therefore may be a marker for early risk detection. We conducted a prospective cohort analysis including 393,606 participants (mean age 56.0 years, 53.9% female) from the UK Biobank. The exposures were grip strength and skeletal muscle mass (SMM). The primary outcomes were 24 incident gastrointestinal diseases. During a mean follow-up of 12.1 years, we found that one sex-s ...[more]

PMID: 38550988

Similar Datasets

Project description:BackgroundMeasures of skeletal muscle function decline at a faster rate with ageing than do indices of skeletal muscle mass. These observations have been attributed to age-related changes in muscle quality, another functional determinant separate from skeletal muscle mass. This study tested the hypothesis that improved predictions of skeletal muscle strength can be accomplished by combining clinically available measures of skeletal muscle mass and quality.MethodsThe participants included 146 healthy adult (age ≥ 18 years, range 18-77 years; X ± SD 47 ± 17 years and body mass index 16.5-51.8 kg/m2 ; 27.7 ± 6.2 kg/m2 ) men (n = 60) and women (n = 86) in whom skeletal muscle mass was estimated as appendicular lean soft tissue (LST) measured by dual-energy X-ray absorptiometry and skeletal muscle quality as bioimpedance analysis-derived phase angle and B-mode-evaluated echogenicity of mid-thigh skeletal muscle. Strength of the right leg and both arms was quantified as knee isokinetic extension and handgrip strength using dynamometers. The statistical significance of adding phase angle or echogenicity to strength prediction multiple regression models that included extremity-specific LST and other covariates (e.g. age and sex) was evaluated to test the study hypothesis.ResultsRight leg LST mass alone was significantly (P < 0.0001) correlated with isokinetic right leg strength (R2 = 0.57). The addition of segmental phase angle measured in the right leg at 50 kHz increased the R2 of this model to 0.66 (P < 0.0001); other phase angle frequencies (5 and 250 kHz) did not contribute significantly to these models. Results were similar for both right and left arm handgrip strength prediction models. Adding age and sex as model covariates increased the R2 values of these models further (e.g. right leg strength model R2 increased to 0.71), but phase angle continued to remain a significant (all P < 0.01) predictor of extremity strength. Similarly, when predicting isokinetic right leg strength, mid-thigh skeletal muscle echogenicity added significantly (P < 0.0001) to right leg LST, increasing R2 from 0.57 to 0.64; age was a significant (P < 0.0001) covariate in this model, increasing R2 further to 0.68.ConclusionsThe hypothesis of the current study was confirmed, strongly supporting and extending earlier reports by quantifying the combined independent effects of skeletal muscle mass and quality on lower-body and upper-body measures of strength. These observations provide a clinically available method for future research aimed at optimizing sarcopenia and frailty risk prediction models.

Dataset Information

Risk of subsequent gastrointestinal disease assessed by skeletal muscle strength and mass in a prospective cohort study.

Publications

Risk of subsequent gastrointestinal disease assessed by skeletal muscle strength and mass in a prospective cohort study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets