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dc.contributor.authorNevill, Alan M.
dc.contributor.authorHolder, R L
dc.date.accessioned2012-11-20T15:04:47Z
dc.date.available2012-11-20T15:04:47Z
dc.date.issued2000-10
dc.identifier.citationModelling handgrip strength in the presence of confounding variables: results from the Allied Dunbar National Fitness Survey. 2000, 43 (10):1547-58 Ergonomics
dc.identifier.issn0014-0139
dc.identifier.pmid11083135
dc.identifier.doi10.1080/001401300750003970
dc.identifier.urihttp://hdl.handle.net/2436/252777
dc.description.abstractDifferences in handgrip strength, caused by risk factors such as physical inactivity, will be influenced by 'confounding' variables, e.g. age, body size. The aims of the study were to identify the confounding variables associated with handgrip strength and to assess the benefit that physical activity plays in maintaining grip strength within a population, having adjusted for differences in these confounding variables. The most appropriate linear body size dimension associated with grip strength was height rather than demispan. Non-linear associations with age and body mass were also identified. Handgrip strength peaked in the age group 25 - 34 years for male subjects and in the age group 35 - 44 years for female subjects. Similarly, handgrip strength increased with body mass until it peaked at a body mass of approximately 100 kg for male and 90 kg for female subjects; thereafter a rapid decline in grip strength was observed. Differences in handgrip strength were found to be significantly associated with levels of physical activity even having controlled for differences in age and body size (height, mass and percentage body fat), but the observed association was not linear. The level of physical activity necessary to maintain an optimal level of handgrip strength was found to be a balance of moderate or vigorous occasions of physical activity.
dc.language.isoen
dc.publisherTaylor & Francis
dc.subjectPhysical activity
dc.subjectAllometric models
dc.subjectHeteroscedastic errors
dc.subject.meshAdult
dc.subject.meshBody Composition
dc.subject.meshBody Mass Index
dc.subject.meshConfounding Factors (Epidemiology)
dc.subject.meshFemale
dc.subject.meshHand Strength
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshRegression Analysis
dc.titleModelling handgrip strength in the presence of confounding variables: results from the Allied Dunbar National Fitness Survey.
dc.typeJournal article
dc.identifier.journalErgonomics
html.description.abstractDifferences in handgrip strength, caused by risk factors such as physical inactivity, will be influenced by 'confounding' variables, e.g. age, body size. The aims of the study were to identify the confounding variables associated with handgrip strength and to assess the benefit that physical activity plays in maintaining grip strength within a population, having adjusted for differences in these confounding variables. The most appropriate linear body size dimension associated with grip strength was height rather than demispan. Non-linear associations with age and body mass were also identified. Handgrip strength peaked in the age group 25 - 34 years for male subjects and in the age group 35 - 44 years for female subjects. Similarly, handgrip strength increased with body mass until it peaked at a body mass of approximately 100 kg for male and 90 kg for female subjects; thereafter a rapid decline in grip strength was observed. Differences in handgrip strength were found to be significantly associated with levels of physical activity even having controlled for differences in age and body size (height, mass and percentage body fat), but the observed association was not linear. The level of physical activity necessary to maintain an optimal level of handgrip strength was found to be a balance of moderate or vigorous occasions of physical activity.


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