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Research article
Large mid-upper arm circumference is associated with metabolic syndrome in middle-aged and elderly individuals: a community-based study
Zhen Yang
Shanghai Jiaotong University School of Medicine Xinhua Hospital Chongming Branch
Corresponding Author
ORCiD: https://orcid.org/0000-0003-0225-7099
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Background The mid-upper arm circumference (MUAC) is a proxy for subcutaneous fat in the upper body and is a reliable screening measure for identifying individuals with abnormal regional fat distribution. The purpose of this study was to evaluate the association between MUAC and metabolic syndrome (MetS) in middle-aged and elderly individuals.
Methods We measured the MUAC in a cross-sectional sample with a total of 9787 subjects aged 40 years and older. The measurement of MUAC is performed on the right arm using a non‐elastic tape held midway between the acromion and the olecranon processes in duplicate, with the arm hanging loosely at the side of the body. The MetS was defined according to the Joint Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention.
Results MUAC was positively correlated with waist circumference (r=0.437, P<0.001), BMI (r=0.334, P<0.001), fasting insulin (r=0.348, P<0.001), HOMA-IR (r=0.134, P< 0.001), triglycerides (r=0.138, P<0.001), SBP (r=0.124, P< 0.001), and DBP (r= 0.123, P<0.001), and inversely correlated with adiponectin (r=-0.147, P < 0.001) and HDL-cholesterol (r=-0.176, P<0.001) after adjusting for age and gender. Compared with the lowest quartile group, the odds ratios were substantially higher for MetS (OR 1.77; 95% CI 1.51-2.09, P for trend<0.001) in the highest MUAC quartile group after adjustment for potential cofounder.
Conclusion Large mid-upper arm circumference is significantly associated with metabolic syndrome in middle-aged and elderly individuals .
Keywords
metabolic syndrome, mid-upper arm circumference, central obesity, subcutaneous fat
Figure 1
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This preprint is under consideration at BMC Endocrine Disorders. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Large mid-upper arm circumference is associated with metabolic syndrome in middle-aged and elderly individuals: a community-based study
Zhen Yang
Shanghai Jiaotong University School of Medicine Xinhua Hospital Chongming Branch
Corresponding Author
ORCiD: https://orcid.org/0000-0003-0225-7099
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 5
Posted 29 May, 2020
No community comments so far
Editor assigned
On 21 May, 2020
Submission checks complete
On 20 May, 2020
Editor invited
On 20 May, 2020
No comments provided
Editorial decision: Minor revision
On 27 Apr, 2020
Editor assigned
On 24 Apr, 2020
Submission checks complete
On 23 Apr, 2020
Editor invited
On 23 Apr, 2020
No comments provided
Editorial decision: Minor revision
On 02 Apr, 2020
Editor assigned
On 31 Mar, 2020
Submission checks complete
On 30 Mar, 2020
Editor invited
On 30 Mar, 2020
No comments provided
Editorial decision: Minor revision
On 18 Mar, 2020
Review #1 received
Received 10 Mar, 2020
Reviewer #2 agreed
On 27 Feb, 2020
Review #2 received
Received 27 Feb, 2020
Reviewer #1 agreed
On 24 Feb, 2020
Reviewers invited
Invitations sent on 24 Feb, 2020
Editor assigned
On 23 Feb, 2020
Submission checks complete
On 22 Feb, 2020
Editor invited
On 22 Feb, 2020
No comments provided
Review #2 received
Received 22 Jan, 2020
Editorial decision: Major revision
On 22 Jan, 2020
Review #3 received
Received 21 Jan, 2020
Review #4 received
Received 19 Jan, 2020
Reviewer #5 agreed
On 13 Jan, 2020
Reviewer #6 agreed
On 13 Jan, 2020
Reviewer #4 agreed
On 12 Jan, 2020
Reviewer #3 agreed
On 11 Jan, 2020
Reviewer #2 agreed
On 28 Oct, 2019
Review #1 received
Received 21 Oct, 2019
Reviewer #1 agreed
On 20 Oct, 2019
Editor assigned
On 15 Oct, 2019
Reviewers invited
Invitations sent on 15 Oct, 2019
Submission checks complete
On 09 Oct, 2019
Editor invited
On 09 Oct, 2019
First submitted
On 01 Oct, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Endocrinology & Metabolism
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background The mid-upper arm circumference (MUAC) is a proxy for subcutaneous fat in the upper body and is a reliable screening measure for identifying individuals with abnormal regional fat distribution. The purpose of this study was to evaluate the association between MUAC and metabolic syndrome (MetS) in middle-aged and elderly individuals.
Methods We measured the MUAC in a cross-sectional sample with a total of 9787 subjects aged 40 years and older. The measurement of MUAC is performed on the right arm using a non‐elastic tape held midway between the acromion and the olecranon processes in duplicate, with the arm hanging loosely at the side of the body. The MetS was defined according to the Joint Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention.
Results MUAC was positively correlated with waist circumference (r=0.437, P<0.001), BMI (r=0.334, P<0.001), fasting insulin (r=0.348, P<0.001), HOMA-IR (r=0.134, P< 0.001), triglycerides (r=0.138, P<0.001), SBP (r=0.124, P< 0.001), and DBP (r= 0.123, P<0.001), and inversely correlated with adiponectin (r=-0.147, P < 0.001) and HDL-cholesterol (r=-0.176, P<0.001) after adjusting for age and gender. Compared with the lowest quartile group, the odds ratios were substantially higher for MetS (OR 1.77; 95% CI 1.51-2.09, P for trend<0.001) in the highest MUAC quartile group after adjustment for potential cofounder.
Conclusion Large mid-upper arm circumference is significantly associated with metabolic syndrome in middle-aged and elderly individuals .
Figure 1