2012
DOI: 10.1002/eat.22060
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Season of birth bias and anorexia nervosa: Results from an international collaboration

Abstract: The main implication of these findings is that season of birth may not play a significant part in the aetiology of AN.

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Cited by 8 publications
(26 citation statements)
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References 35 publications
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“…The studies by Disanto et al [1] and Winje et al [2] were chosen as i) their conclusions differ, ii) they both have large samples and included information on power calculations, iii) Disanto et al [1] performed a meta-analysis (analysing the pooled sample), and iv) Winje et al [2] included samples from several continents on both the Northern and the Southern hemisphere, as well as a pooled analysis. A secondary aim or this paper is to discuss the results according to common conventions for interpreting effect sizes (Cohen’s categories [8]) and their practical implications.…”
Section: Methodsmentioning
confidence: 99%
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“…The studies by Disanto et al [1] and Winje et al [2] were chosen as i) their conclusions differ, ii) they both have large samples and included information on power calculations, iii) Disanto et al [1] performed a meta-analysis (analysing the pooled sample), and iv) Winje et al [2] included samples from several continents on both the Northern and the Southern hemisphere, as well as a pooled analysis. A secondary aim or this paper is to discuss the results according to common conventions for interpreting effect sizes (Cohen’s categories [8]) and their practical implications.…”
Section: Methodsmentioning
confidence: 99%
“…To enable comparison of the studies by Disanto and colleagues [1] and Winje et al [2], the statistical analyses used in each study were applied to the samples from the other study. Disanto et al [1] performed a Walter and Elwood’s test [9] and chi-square analyses contrasting i) the first vs. the second half of the year (1df), ii) March-June vs. the rest of the year (1df), iii) September-October vs. the rest of the year (1df), and iv) March-June vs. September- October (1df).…”
Section: Methodsmentioning
confidence: 99%
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