Article

Enthesopathy Formation in the Humerus: Data from Known Age-at-Death and Known Occupation Skeletal Collections

Centre for Research in Anthropology, 1600-083 Lisbon, Portugal.
American Journal of Physical Anthropology (Impact Factor: 2.51). 01/2009; 141(4):550-60. DOI: 10.1002/ajpa.21171
Source: PubMed

ABSTRACT Enthesopathies, in the guise of musculoskeletal skeletal stress markers (MSM), have been widely used to reconstruct activity levels in human skeletal populations. In general, studies have focused on their presence in the upper limb, which is used in the majority of daily activities. The aim of this study was to use some of the attachment sites on the humerus to explore the relationship between enthesopathy formation, activity, and the ageing process. The skeletal sample used in this study comprised male adult skeletons with known age-at-death and known occupations from the late-19th and early-20th century cemeteries in Portugal. The enthesopathies were recorded as either present or absent. Statistical analysis using Fishers exact tests and logistic regression was undertaken to determine whether associations could be found between specific activities or socioeconomic status (manual or nonmanual workers), and age and enthesopathy presence. Left and right sides were analyzed separately. Fisher's exact tests were used to determine the relationship between activity and enthesopathy, and they demonstrated no association between activity and enthesopathies (P > 0.01). The results of the logistic regression established that age was the single most significant factor in enthesopathy formation (P > 0.05). This study found that, in these samples, age-at-death, and therefore age-related degeneration rather than degeneration caused by activities, was the primary cause of enthesopathy formation. Considering the difficulties of reliably ageing adult human skeletal remains, this is a major issue for studies of activity using enthesopathies.

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    • "Rabey et al. / Journal of Human Evolution xxx (2014) 1e12 7 Please cite this article in press as: Rabey, K.N., et al., Locomotor activity influences muscle architecture and bone growth but not muscle attachment site morphology, Journal of Human Evolution (2014), http://dx.doi.org/10.1016/j.jhevol.2014.10.010 Hawkey and Merbs, 1995; Montgomery et al., 2005; Cardoso and Henderson, 2010; Jurmain et al., 2012; Niinim€ aki et al., 2013). Indeed, elevated activity influenced differential periosteal growth in the humerus and throughout the deltoid crest (Table 1; Figs. 4 and 6). "
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    ABSTRACT: The ability to make behavioural inferences from skeletal remains is critical to understanding the lifestyles and activities of past human populations and extinct animals. Muscle attachment site (enthesis) morphology has long been assumed to reflect muscle strength and activity during life, but little experimental evidence exists to directly link activity patterns with muscle development and the morphology of their attachments to the skeleton. We used a mouse model to experimentally test how the level and type of activity influences forelimb muscle architecture of spinodeltoideus, acromiodeltoideus, and superficial pectoralis, bone growth rate and gross morphology of their insertion sites. Over an 11-week period, we collected data on activity levels in one control group and two experimental activity groups (running, climbing) of female wild-type mice. Our results show that both activity type and level increased bone growth rates influenced muscle architecture, including differences in potential muscular excursion (fibre length) and potential force production (physiological cross-sectional area). However, despite significant influences on muscle architecture and bone development, activity had no observable effect on enthesis morphology. These results suggest that the gross morphology of entheses is less reliable than internal bone structure for making inferences about an individual's past behaviour.
    Journal of Human Evolution 11/2014; 78. DOI:10.1016/j.jhevol.2014.10.010 · 3.87 Impact Factor
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    • "MSM scores (for scoring methods see e.g. Hawkey & Merbs 1995; Weiss 2003) are positively correlated with age and body size and higher in average in males than in females, due to greater muscle volume in the former; their variance due to differences in labour intensity is less than these three covariates (Weiss 2003, 2004, 2007; Cardoso & Henderson 2010; Niinimäki 2011). Moreover, loading intensity seems to be more important than loading frequency or duration (Churchill & Morris 1998). "
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    International Journal of Osteoarchaeology 09/2014; 24(5). DOI:10.1002/oa.2243 · 0.95 Impact Factor
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    • "This limitation is partly overcome when partial correlations are used. Partial correlation analysis can explore the linear relationship between two variables after excluding the effect of one or more other variables, i.e., explore the relationship between age and dental caries expression after excluding the effect of sex (Eshed et al., 2004; Alves Cardoso and Henderson, 2010). "
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    ABSTRACT: The current article explores whether the application of generalized linear models (GLM) and generalized estimating equations (GEE) can be used in place of conventional statistical analyses in the study of ordinal data that code an underlying continuous variable, like entheseal changes. The analysis of artificial data and ordinal data expressing entheseal changes in archaeological North African populations gave the following results. Parametric and nonparametric tests give convergent results particularly for P values <0.1, irrespective of whether the underlying variable is normally distributed or not under the condition that the samples involved in the tests exhibit approximately equal sizes. If this prerequisite is valid and provided that the samples are of equal variances, analysis of covariance may be adopted. GLM are not subject to constraints and give results that converge to those obtained from all nonparametric tests. Therefore, they can be used instead of traditional tests as they give the same amount of information as them, but with the advantage of allowing the study of the simultaneous impact of multiple predictors and their interactions and the modeling of the experimental data. However, GLM should be replaced by GEE for the study of bilateral asymmetry and in general when paired samples are tested, because GEE are appropriate for correlated data. Am J Phys Anthropol, 2013. © 2013 Wiley Periodicals, Inc.
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