Dados Bibliográficos

AUTOR(ES) H. Kaplan , M. Gurven , Gandhi Yetish
AFILIAÇÃO(ÕES) Economic Science Institute Chapman University Orange, California United States of America, Department of Anthropology University of California, Santa Barbara Santa Barbara, California United States of America, Department of World Arts and Cultures/Dance University of California Los Angeles
ANO 2018
TIPO Artigo
PERIÓDICO American Journal of Physical Anthropology
ISSN 0002-9483
E-ISSN 1096-8644
EDITORA John Wiley and Sons Inc
DOI 10.1002/ajpa.23454
CITAÇÕES 5
ADICIONADO EM 2025-08-18
MD5 aef0f8e410f03b75e682118c6e69f229

Resumo

ObjectivesA common presumption in sleep research is that 'normal' human sleep should show high night‐to‐night consistency. Yet, intra‐individual sleep variation in small‐scale subsistence societies has never been studied to test this idea. In this study, we assessed the degree of nightly variation in sleep patterns among Tsimane forager‐horticulturalists in Bolivia, and explored possible drivers of the intra‐individual variability.MethodsWe actigraphically recorded sleep among 120 Tsimane adults (67 female), aged 18–91, for an average of 4.9 nights per person using the Actigraph GT3X and Philips Respironics Actiwatch 2. We assessed intra‐individual variation using intra‐class correlations and average deviation from each individual's average sleep duration, onset, and offset times ().ResultsOnly 31% of total variation in sleep duration was due to differences among different individuals, with the remaining 69% due to nightly differences within the same individuals. We found no statistically significant differences in Tsimane sleep duration by day‐of‐the‐week. Nightly variation in sleep duration was driven by highly variable sleep onset, especially for men. Nighttime activities associated with later sleep onset included hunting, fishing, housework, and watching TV.ConclusionsIn contrast to nightly sleep variation in the United States being driven primarily by 'sleeping‐in' on weekends, Tsimane sleep variation, while comparable to that observed in the United States, was driven by changing 'bedtimes,' independent of day‐of‐the‐week. We propose that this variation may reflect adaptive responses to changing opportunity costs to sleep/nighttime activity.

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