Relative Handgrip Strength Is a Simple Indicator of Cardiometabolic Risk among Middle-Aged and Older People: A Nationwide Population-Based Study in Taiwan

PLoS One. 2016 Aug 25;11(8):e0160876. doi: 10.1371/journal.pone.0160876. eCollection 2016.

Abstract

Background: Muscle strength may play an important role in cardiovascular health. The study was intended to evaluate the association between cardiometabolic risk, risk of coronary artery disease and handgrip strength by using the relative handgrip strength.

Materials and methods: Data of 927 Taiwanese aged 53 years and older (510 men and 417 women) were retrieved from a nationwide representative population-based cohort cross-sectional study in 2006. All participants were interviewed face-to-face and received measures of anthropometry, dominant handgrip strength, relative handgrip strength (summation of both handgrip strength divided by body mass index) and serum biomarkers.

Results: Multivariate linear regression analysis showed the significant association between relative handgrip strength and favorable cardiometabolic risk factors including blood pressure, triglyceride, total cholesterol to high density cholesterol(HDL-C) ratio, glycohemoglobin (HbA1c), uric acid, Framingham risk score in men, and HDL-C, fasting glucose, HbA1c, log hsCRP in women. Dominant hand grip strength was only associated with log hsCRP in women. (p<0.05 for all), but was not significant associated with all cardiovascular biomarkers and FRS in both sex.

Conclusions: Joint with handgrip strength and body size, as relative handgrip strength, may be a better tool to capture conceptual concomitant health, which may be a simple, inexpensive, and easy-to-use tool when targeting cardiovascular health in public health level.

MeSH terms

  • Aged
  • Anthropometry / methods
  • Blood Glucose / metabolism
  • Blood Pressure
  • Cardiovascular Diseases / blood
  • Cardiovascular Diseases / diagnosis
  • Cardiovascular Diseases / physiopathology*
  • Cholesterol / blood
  • Cholesterol, HDL / blood
  • Cross-Sectional Studies
  • Glycated Hemoglobin / metabolism
  • Hand Strength / physiology*
  • Humans
  • Linear Models
  • Metabolic Diseases / blood
  • Metabolic Diseases / diagnosis
  • Metabolic Diseases / physiopathology*
  • Middle Aged
  • Multivariate Analysis
  • Population Surveillance / methods
  • Risk Assessment / methods
  • Risk Assessment / statistics & numerical data*
  • Risk Factors
  • Taiwan
  • Triglycerides / blood
  • Uric Acid / blood

Substances

  • Blood Glucose
  • Cholesterol, HDL
  • Glycated Hemoglobin A
  • Triglycerides
  • Uric Acid
  • Cholesterol

Grants and funding

This study was supported by the Aging and Health Research Center, National Yang Ming University; Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, as well as the Ministry of Science and Technology of Taiwan (MOST 103-2633-B-400-002 and MOST 105-3011-B-010-001). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.