Evidence map›Paper›PMID 42391262›Full record

ArticlePloS one2026

Muscle strength characteristics and the predictive value of handgrip strength in young obese males: A multi‑joint isokinetic and LASSO regression analysis.

Sen Yang, Jian Li, Shuwei Chen, Xinbi Zhang, Jia Zeng

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sen YangInstitute for Sport Performance and Health Promotion, Capital University of Physical Education and Sports, Beijing, China.
Jian LiInstitute for Sport Performance and Health Promotion, Capital University of Physical Education and Sports, Beijing, China.
Shuwei ChenInstitute for Sport Performance and Health Promotion, Capital University of Physical Education and Sports, Beijing, China.
Xinbi ZhangSchool of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing, China.ORCID https://orcid.org/0009-0009-3707-9609
Jia ZengDepartment of Physical Education and Research, Fuzhou University, Fuzhou, China.ORCID https://orcid.org/0000-0002-7076-5717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a primary global public health concern, often associated with impaired muscle function and an increased risk of exercise-related injuries. This cross-sectional study aimed to elucidate the associations among muscular strength, body load, and functional capacity in young adults with obesity. A total of 75 male university students were recruited, including a normal-weight group (n = 47, BMI 18.5-24.99) and an obese group (n = 28, BMI ≥ 30). Assessments included handgrip strength, one-repetition maximum (1RM) for squat, deadlift, and bench press, as well as isokinetic strength evaluations across four major joints (shoulder, elbow, hip, and knee), yielding 32 strength-related variables. After normalizing all strength measures to body weight, the obese group demonstrated significantly lower relative strength across all parameters compared to the normal-weight group (P < 0.001), indicating a distinct "strength-to-load imbalance." To identify key predictors of handgrip strength while addressing potential overfitting, we employed least absolute shrinkage and selection operator (LASSO) regression with cross-validation. The final model retained five predictors: elbow flexion maximum work at 180°/s (EF180°Wmax), elbow flexion peak torque at 180°/s (EF180°Fmax), elbow extension peak torque at 60°/s (EE60°Fmax), shoulder flexion peak torque at 60°/s (SF60°Fmax), and group (obese vs. normal), together explaining 63.3% of the variance in handgrip strength (adjusted R² = 0.606), although this finding should be interpreted with caution due to the sample size and requires validation in larger cohorts. Notably, group membership remained a significant independent predictor (β = -0.23, P = 0.014), underscoring the persistent deficit in relative strength associated with obesity even after accounting for joint-specific strength. By incorporating a multidimensional assessment of strength across multiple joints, this study moves beyond the limitations of single-joint evaluations and offers theoretical support for the potential use of handgrip strength as a practical indicator of overall muscle function in obese populations. Further research with larger samples and longitudinal designs is needed to validate its utility as a screening tool. These findings have important implications for designing function-oriented, precision-based exercise interventions for obese populations.

Indexed as

Hand StrengthJointsMuscle StrengthObesityAdultCross-Sectional StudiesHumansMaleRegression AnalysisYoung Adult

Identifiers

PMID42391262
PMCPMC13327116

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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.