Association between sarcopenia and levels of growth hormone and insulin-like growth factor-1 in the elderly.

Bian A, Ma Y, Zhou X, Guo Y, Wang W, Zhang Y, Wang X

BMC musculoskeletal disorders7 Apr 2020Cited by 157 (Europe PMC)

PMID32264885PMCIDPMC7140321DOI10.1186/s12891-020-03236-yPepBankPUB-32264885

Summary

BackgroundAge-related sarcopenia is a serious global health issue in elderly individuals and for the community as it induces disability and significant economic burden. The purpose of the study is to understand the factors associated with sarcopenia and the role of growth hormone (GH) and insulin-like growth factor (IGF-1) in the occurrence of sarcopenia.MethodsElderly patients (n = 3276) were included in this cross-sectional study. Survey and measurement of body composition (bioelectrical impedance), grip strength, and step speed were performed according to the Asian Working Group on Sarcopenia (AWGS) diagnostic criteria. Hematological and hormonal indicators were compared between patients with and without sarcopenia in order to identify the associated factors.ResultsThere were significant differences in the demographic parameters between the sarcopenia and non-sarcopenia groups (all P < 0.05). There were significant differences between the two groups regarding the blood levels of GH, IGF-1, testosterone (T), and mechanical growth factor (MGF) (all P < 0.001). Correlation analyses showed that the appendicular skeletal muscle mass (ASMI) was positively associated with gender and BMI, and with GH, T, IGF-1, MGF, BUN, Cr, and Hb levels, but negatively associated with HDL-C (all P < 0.05). Logistic multivariable regression analysis showed that IGF-1, MGF, BMI, and gender were independently associated with appendicular skeletal muscle mass (ASMI) (all P < 0.05).ConclusionsGH and IGF-1 are associated with sarcopenia in the elderly. IGF-1 and MGF are independently associated with the reduction of skeletal muscle mass, along with BMI and gender.

CC BYText from Europe PMC. Highlighted sentences are the source of results.

Results from this study3

No result from this study comes from a test of the peptide.

Natural levels measured3

These results measure the body's own peptide. Nobody was given the peptide. They are not evidence about taking it. They are left out of key results, evidence counts and charts.

01HumanEndogenous levelObservational studyOther
In elderly patients, blood levels of the body's own MGF differed significantly between those with and without sarcopenia.
In plain wordsIn older adults, the body's own MGF level in blood differed between people with and without sarcopenia. The direction is not given.
Peptide
MGF / PEG-MGF
Outcome
Direction not reportedBlood MGF level, sarcopenia versus non-sarcopenia
Study
n = 3,276
Comparator
Elderly patients without sarcopenia
Outcome group
Aging markers · Musculoskeletal
Source sentences
Summary
There were significant differences between the two groups regarding the blood levels of GH, IGF-1, testosterone (T), and mechanical growth factor (MGF) (all P < 0.001).
2 context sentences(design, population, supporting numbers)
Summary · context
Elderly patients (n = 3276) were included in this cross-sectional study.
Summary · context
Survey and measurement of body composition (bioelectrical impedance), grip strength, and step speed were performed according to the Asian Working Group on Sarcopenia (AWGS) diagnostic criteria.
This result measures the body's own MGF / PEG-MGF. Nobody was given the peptide. It is not evidence about taking it.
Show in the study text Report a problemFND-3226488501
02HumanEndogenous levelObservational studyOther
In elderly patients, blood levels of the body's own MGF were positively associated with appendicular skeletal muscle mass index in correlation analysis.
In plain wordsIn older adults, higher natural MGF levels were linked to greater muscle mass.
Peptide
MGF / PEG-MGF
Outcome
Not applicableAssociation of MGF with appendicular skeletal muscle mass
Study
n = 3,276
Outcome group
Aging markers · Musculoskeletal
Source sentences
Summary
Correlation analyses showed that the appendicular skeletal muscle mass (ASMI) was positively associated with gender and BMI, and with GH, T, IGF-1, MGF, BUN, Cr, and Hb levels, but negatively associated with HDL-C (all P < 0.05).
2 context sentences(design, population, supporting numbers)
Summary · context
Elderly patients (n = 3276) were included in this cross-sectional study.
Summary · context
Survey and measurement of body composition (bioelectrical impedance), grip strength, and step speed were performed according to the Asian Working Group on Sarcopenia (AWGS) diagnostic criteria.
This result measures the body's own MGF / PEG-MGF. Nobody was given the peptide. It is not evidence about taking it.
Show in the study text Report a problemFND-3226488502
03HumanEndogenous levelObservational studyOther
In elderly patients, the body's own MGF was independently associated with appendicular skeletal muscle mass index in multivariable logistic regression.
In plain wordsIn older adults, natural MGF levels were linked to muscle mass after adjusting for other factors.
Peptide
MGF / PEG-MGF
Outcome
Not applicableIndependent association of MGF with appendicular skeletal muscle mass
Study
n = 3,276
Outcome group
Aging markers · Musculoskeletal
Source sentences
Summary
Logistic multivariable regression analysis showed that IGF-1, MGF, BMI, and gender were independently associated with appendicular skeletal muscle mass (ASMI) (all P < 0.05).
2 context sentences(design, population, supporting numbers)
Summary · context
Elderly patients (n = 3276) were included in this cross-sectional study.
Summary · context
Survey and measurement of body composition (bioelectrical impedance), grip strength, and step speed were performed according to the Asian Working Group on Sarcopenia (AWGS) diagnostic criteria.
This result measures the body's own MGF / PEG-MGF. Nobody was given the peptide. It is not evidence about taking it.
Show in the study text Report a problemFND-3226488503

AI wrote and checked these results. AI can make mistakes, so check important results against the source.

Version history

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Version 2Current
13 Oct 2026, 21:44 UTC
Study results updated
Version 1
13 Oct 2026, 16:31 UTC
First added · source update from Europe PMC

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