Education, occupation and operational measures of sarcopenia: Six years of Australian data
Objectives To examine associations of education and occupation with handgrip strength (HGS), lower limb strength (LLS) and appendicular lean mass (ALM). Methods Measures of HGS, LLS and ALM (dual‐energy X‐ray absorptiometry) were ascertained at baseline in 1090 adults (50‐80 years, 51% women), ~3 an...
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Published in | Australasian journal on ageing Vol. 39; no. 4; pp. e498 - e505 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Australia
01.12.2020
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Abstract | Objectives
To examine associations of education and occupation with handgrip strength (HGS), lower limb strength (LLS) and appendicular lean mass (ALM).
Methods
Measures of HGS, LLS and ALM (dual‐energy X‐ray absorptiometry) were ascertained at baseline in 1090 adults (50‐80 years, 51% women), ~3 and 5 years. Education and occupation were self‐reported, the latter categorised as high‐skilled white collar (HSWC), low‐skilled white collar (LSWC) or blue collar. Separate general estimating equations were performed.
Results
The highest education group had greater HGS than the middle (0.33 psi) and lowest (0.48 psi) education groups, and 0.34 kg greater ALM than the lowest education group. HGS was 0.46 psi greater for HSWC than LSWC groups. Compared to LSWC groups, LLS was 5.38 and 7.08 kg greater in HSWC and blue‐collar groups. Blue‐collar and HSWC groups each had ~ 0.60‐0.80kg greater ALM than LSWC.
Conclusion
Progressive muscle loss can be prevented by targeted intervention; thus, we suggest clinical attention be directed towards specific social groups. |
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AbstractList | To examine associations of education and occupation with handgrip strength (HGS), lower limb strength (LLS) and appendicular lean mass (ALM).
Measures of HGS, LLS and ALM (dual-energy X-ray absorptiometry) were ascertained at baseline in 1090 adults (50-80 years, 51% women), ~3 and 5 years. Education and occupation were self-reported, the latter categorised as high-skilled white collar (HSWC), low-skilled white collar (LSWC) or blue collar. Separate general estimating equations were performed.
The highest education group had greater HGS than the middle (0.33 psi) and lowest (0.48 psi) education groups, and 0.34 kg greater ALM than the lowest education group. HGS was 0.46 psi greater for HSWC than LSWC groups. Compared to LSWC groups, LLS was 5.38 and 7.08 kg greater in HSWC and blue-collar groups. Blue-collar and HSWC groups each had ~ 0.60-0.80kg greater ALM than LSWC.
Progressive muscle loss can be prevented by targeted intervention; thus, we suggest clinical attention be directed towards specific social groups. OBJECTIVESTo examine associations of education and occupation with handgrip strength (HGS), lower limb strength (LLS) and appendicular lean mass (ALM). METHODSMeasures of HGS, LLS and ALM (dual-energy X-ray absorptiometry) were ascertained at baseline in 1090 adults (50-80 years, 51% women), ~3 and 5 years. Education and occupation were self-reported, the latter categorised as high-skilled white collar (HSWC), low-skilled white collar (LSWC) or blue collar. Separate general estimating equations were performed. RESULTSThe highest education group had greater HGS than the middle (0.33 psi) and lowest (0.48 psi) education groups, and 0.34 kg greater ALM than the lowest education group. HGS was 0.46 psi greater for HSWC than LSWC groups. Compared to LSWC groups, LLS was 5.38 and 7.08 kg greater in HSWC and blue-collar groups. Blue-collar and HSWC groups each had ~ 0.60-0.80kg greater ALM than LSWC. CONCLUSIONProgressive muscle loss can be prevented by targeted intervention; thus, we suggest clinical attention be directed towards specific social groups. Objectives To examine associations of education and occupation with handgrip strength (HGS), lower limb strength (LLS) and appendicular lean mass (ALM). Methods Measures of HGS, LLS and ALM (dual‐energy X‐ray absorptiometry) were ascertained at baseline in 1090 adults (50‐80 years, 51% women), ~3 and 5 years. Education and occupation were self‐reported, the latter categorised as high‐skilled white collar (HSWC), low‐skilled white collar (LSWC) or blue collar. Separate general estimating equations were performed. Results The highest education group had greater HGS than the middle (0.33 psi) and lowest (0.48 psi) education groups, and 0.34 kg greater ALM than the lowest education group. HGS was 0.46 psi greater for HSWC than LSWC groups. Compared to LSWC groups, LLS was 5.38 and 7.08 kg greater in HSWC and blue‐collar groups. Blue‐collar and HSWC groups each had ~ 0.60‐0.80kg greater ALM than LSWC. Conclusion Progressive muscle loss can be prevented by targeted intervention; thus, we suggest clinical attention be directed towards specific social groups. Abstract Objectives To examine associations of education and occupation with handgrip strength (HGS), lower limb strength (LLS) and appendicular lean mass (ALM). Methods Measures of HGS, LLS and ALM (dual‐energy X‐ray absorptiometry) were ascertained at baseline in 1090 adults (50‐80 years, 51% women), ~3 and 5 years. Education and occupation were self‐reported, the latter categorised as high‐skilled white collar (HSWC), low‐skilled white collar (LSWC) or blue collar. Separate general estimating equations were performed. Results The highest education group had greater HGS than the middle (0.33 psi) and lowest (0.48 psi) education groups, and 0.34 kg greater ALM than the lowest education group. HGS was 0.46 psi greater for HSWC than LSWC groups. Compared to LSWC groups, LLS was 5.38 and 7.08 kg greater in HSWC and blue‐collar groups. Blue‐collar and HSWC groups each had ~ 0.60‐0.80kg greater ALM than LSWC. Conclusion Progressive muscle loss can be prevented by targeted intervention; thus, we suggest clinical attention be directed towards specific social groups. |
Author | Hayes, Alan Scott, David Beauchamp, Alison Jones, Graeme Phu, Steven Brennan‐Olsen, Sharon L. Duque, Gustavo Wu, Feitong Balogun, Saliu Talevski, Jason Winzenberg, Tania M. Vogrin, Sara Naureen, Ghazala |
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Cites_doi | 10.1136/bmjopen-2017-019088 10.1002/jcsm.12147 10.1093/ageing/afy169 10.1097/JOM.0000000000001412 10.1002/jcsm.12076 10.1038/nri3042 10.1093/gerona/glt149 10.1007/s40520-018-0931-z 10.1111/j.1532-5415.2008.02126.x 10.1136/jech-2013-203373 10.2147/IJGM.S92404 10.1186/1471-2296-14-86 10.1159/000377699 10.1093/ajcn/87.5.1562S 10.18865/ed.26.4.493 10.1371/journal.pone.0016290 10.1371/journal.pone.0164176 10.1093/ageing/afu115 10.1007/s12603-018-1113-6 10.1007/s00198-012-2211-7 10.3945/ajcn.114.084061 10.1136/oemed-2015-103293 10.1093/gerona/glx245 10.1016/j.bone.2015.12.015 10.1093/gerona/glu011 |
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To examine associations of education and occupation with handgrip strength (HGS), lower limb strength (LLS) and appendicular lean mass (ALM).... To examine associations of education and occupation with handgrip strength (HGS), lower limb strength (LLS) and appendicular lean mass (ALM). Measures of HGS,... Abstract Objectives To examine associations of education and occupation with handgrip strength (HGS), lower limb strength (LLS) and appendicular lean mass... OBJECTIVESTo examine associations of education and occupation with handgrip strength (HGS), lower limb strength (LLS) and appendicular lean mass (ALM).... |
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SubjectTerms | economic status epidemiology health status disparities physical functional performance |
Title | Education, occupation and operational measures of sarcopenia: Six years of Australian data |
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