Observational studyBMC nephrology2025
Abdominal obesity-dependent association between composite upper- and lower-body muscle strength index and incident chronic kidney disease: a nationwide multicenter study.
Observational study in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundThe relation of composite upper- and lower body-muscle strength index (MSI) with the risk of incident chronic kidney disease (CKD) remains unknown. Our study aims to evaluate the relationship of MSI with new-onset CKD, using longitudinal data from the nationally representative China Health and Retirement Longitudinal Study (CHARLS).
methodsThis multicenter observational study enrolled 4786 community-dwelling adults without baseline chronic kidney disease (CKD) in 2011. Upper and lower body muscle strength were assessed using dynamometer-measured handgrip strength (HGS) and timed performance on 5-repetition chair stand (RCS) test, respectively. A composite muscle strength index (MSI) was derived by combining sex-specific thresholds of HGS (female < 18 kg; male < 28 kg) and RCS performance (≥ 12 s). Participants underwent follow-up assessments in 2013, 2015, and 2018 to track CKD incidents. Cox proportional hazards models were employed to analyze associations between MSI and CKD incidence, with sensitivity analyses assessing the time dependent robustness and stratified analyses testing effect modification.
resultsThis 7-years follow-up study included 4786 community-dwelling adults (mean age 58.1 ± 8.2 years). During follow-up, 582 incident CKD cases were identified. Participants were stratified by abdominal obesity status (AO) defined by waist circumference (male ≥ 90 cm, female ≥ 85 cm). Kaplan-Meier analysis revealed a significant positive association between MSI categories and CKD risk AO subgroup (Log-rank P < 0.0001). Multivariable Cox regression analysis demonstrated that intermediate MSI was independently associated with new-onset CKD in overall cohort (HR = 1.230, 95%CI = 1.022-1.480). Notably, a distinct dose-response gradient relationship was observed in AO subgroup (Intermediate MSI: HR = 1.577, 95%CI = 1.203-2.069; Poor MSI: HR = 2.250, 95%CI = 1.260-4.016). This association was strengthened in middle-aged adults and those without hypertension or diabetes, and with arthritis (P-interaction < 0.05).
conclusionsThis prospective cohort study demonstrates a dose-dependent association between declining MSI and incident CKD among middle-aged and older adults with abdominal obesity. These findings highlight the potential of combined muscle-strengthening and visceral fat reduction as a targeted strategy for CKD prevention in this high-risk population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.