2008
DOI: 10.1002/eat.20540
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Season of birth bias in eating disorders—Fact or fiction?

Abstract: These findings suggest that SoB is a risk factor for AN. However, none of the studies have been methodologically satisfactory. Future research needs to overcome numerous methodological challenges and to explore specific hypotheses to explain this bias.

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Cited by 21 publications
(35 citation statements)
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“…As this is in accordance with our findings, it strengthens the conclusion that the proportion of shared variance between month of birth and AN probably fluctuates around 0.50%. How do the current findings compare with those of our earlier review 11 and the pooled meta-analysis 12 ? Total sample size used in the analyses can be found in the last row.…”
Section: Discussionmentioning
confidence: 51%
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“…As this is in accordance with our findings, it strengthens the conclusion that the proportion of shared variance between month of birth and AN probably fluctuates around 0.50%. How do the current findings compare with those of our earlier review 11 and the pooled meta-analysis 12 ? Total sample size used in the analyses can be found in the last row.…”
Section: Discussionmentioning
confidence: 51%
“…7 For females with AN, several studies report a season of birth bias with more births during the first 6 months of the year, 8 particularly in the spring months in Europe. 9,10 These findings are strengthened by a pooled meta-analyses of some of the UK samples 11 and a narrative review of the field. 12 In contrast, other studies do not support these findings, e.g., in Europe, [13][14][15][16][17][18] the USA, 19 Singapore, 20 or Australia.…”
Section: Introductionmentioning
confidence: 81%
“…We reduced uncertainty by determining birth date from the middle/end of the month (traditional season dates) and the beginning (insolation dates) diminishing the probability of miscalculation and focusing implications of results. This approach enabled a comparison of studies from distinct geographical locations using traditional seasons and an assessment of climatic variation using insolation criterion (23). Both appropriate, complementary techniques found no effect of seasonality.…”
Section: Discussionmentioning
confidence: 99%
“…Small sample sizes posed problems in previous studies [e.g., (23)], which may undermine statistical methods and power. By ignoring missing birth date data, most studies [e.g., (1, 2, 8)] did not account for exactness of birth dates.…”
Section: Discussionmentioning
confidence: 99%
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