Objective
Nonverbal motion cues (a clenched fist) convey essential information about the intentions of the actor. Individuals with anorexia nervosa (AN) have demonstrated impairment in deciphering intention from facial affective cues but it is unknown whether such deficits extend to deciphering affect from body motion cues.
Method
We examined the capacities of adults with AN (AN; n=21) or those weight restored for >= 12 months (WR; n=20) to perceive affect in biological motion cues relative to healthy controls (HC; n=23).
Results
Overall, individuals with AN evidenced greater deficit in discriminating affect from biological motion cues than WR or HC. Follow-up analyses showed that individuals with AN differed especially across two of the five conditions—deviating most from normative data when discriminating sadness and more consistently discriminating anger relative to WR or HC.
Discussion
Implications of these findings are discussed in relation to some puzzling interpersonal features of AN.
For bioarchaeological studies, a common approach to estimating stature is via regression formulae that are based on the scaling of skeletal elements relative to overall height. Both stature and the proportions of contributing elements may be affected by biocultural and ecological factors, and thus, it is generally preferable to apply population‐specific formulae when possible. Within bioarchaeology, the establishment of population‐specific regression formulae is complicated by the need to base formulae on a sufficiently large number of individuals for which all skeletal elements contributing to stature can be measured. Yet disciplinary conventions within bioarchaeology suggest the need for sample sizes that are larger than typical within related fields, and it is thus possible that disciplinary status quo has led to a systematic bias in the literature toward larger sites, regions with relatively good preservation, and populations associated with these aspects. To investigate the efficacy of combined‐sex stature regression formulae based on relatively small samples, this study calculated population‐specific formulae based on long bone length for 22 individuals from a late medieval Old Prussian cemetery at Bezławki, Poland. The relationship between stature and each of the predictor elements/measurements considered was strong, particularly for maximum femoral length (r = 0.976). For the latter measurement, a sample size as small as 18 produced accurate and precise stature estimates. Further, the Bezławki‐specific formula based on maximum femoral length provided estimates of the stature that performed better than or similar to formulae based on larger populations, supporting that population‐specific formulae may be warranted, even when based on small samples.
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