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Record W2791927458 · doi:10.3389/fphys.2018.00059

Relative Handgrip Strength Is Inversely Associated with Metabolic Profile and Metabolic Disease in the General Population in China

2018· article· en· W2791927458 on OpenAlexaff
Dongxue Li, Guang‐Hong Guo, Lili Xia, Xinghua Yang, Biao Zhang, Feng Liu, Jingang Ma, Zhiping Hu, Yajun Li, Wei Li, Jiajia Jiang, Herbert Y. Gaisano, Guangliang Shan, Yan He

Bibliographic record

VenueFrontiers in Physiology · 2018
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Toronto
FundersNational Natural Science Foundation of China
KeywordsDyslipidemiaMedicineQuartileInternal medicinePopulationMetabolic syndromeEndocrinologyCholesterolLogistic regressionDiseasePhysiologyObesityConfidence intervalEnvironmental health

Abstract

fetched live from OpenAlex

Background: Absolute handgrip strength has been correlated with metabolic profile and metabolic disease. Whether relative handgrip strength is also associated with metabolic disease has not been assessed. This study aimed at assessing the association of relative handgrip strength with metabolic profile and metabolic disease in the general population in China. Methods: Data were derived from an ongoing cross-sectional survey of the 2013 National Physical and Health in Shanxi Province, which involved 5520 participants. Multiple linear regression or multiple logistic regression analysis were used to assess the association of absolute/relative handgrip strength with the metabolic profile, preclinical and established stages of metabolic diseases. Results: This study revealed that relative handgrip strength, that is when normalized to BMI, was associated with: 1) in both genders for more favorable blood lipid levels of high-density lipoprotein cholesterol (males: b=0.19(0.15,0.23); females: b=0.22(0.17, 0.28)), low-density lipoprotein cholesterol (males: b=-0.14(-0.23,-0.05); females: b=-0.19(-0.31,-0.18)), triglycerides (males: b=-0.58(-0.74, -0.43); females: b=-0.55(-0.74,-0.36)) and total cholesterol (males: b=-0.20(-0.31, -0.10); females: b=-0.19(-0.32, -0.06)); and better serum glucose levels in males (b=-0.30(-0.46,-0.15)). 2) lower risk of impaired fasting glucose in males (third quartile (OR=0.66(0.45-0.95)) and fourth quartile (OR=0.46(0.30-0.71)) vs first quartile) and dyslipidemia in both genders (third quartile (males: OR=0.65(0.48-0.87); females: OR=0.68(0.53-0.86)) and fourth quartile (males: OR=0.47 (0.35-0.64); females: OR=0.47(0.36-0.61)) vs first quartile). 3) lower risk of hyperlipidemia in both genders (third quartile (males: OR=0.66(0.50-0.87); females: OR=0.57(0.43-0.75)) and fourth quartile (males: OR=0.35(0.26-0.47); females: OR=0.51(0.38-0.70)) vs first quartile). However, contrary to relative handgrip strength, higher absolute handgrip strength was associated with unfavorable metabolic profiles and higher risk of metabolic diseases. These paradoxical associations were retained even after adjusted for BMI by employed a multivariate analysis. Conclusion: We conclude that measurement of relative handgrip strength can be used as a reasonable clinical predictor of metabolic health and disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.290
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations102
Published2018
Admission routes1
Has abstractyes

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