Department of Psychology, Durham University, Durham, DH1 3LE, UK.
Universidad de las Regiones Autónomas de la Costa Caribe Nicaragüense, Bluefields, Nicaragua.
Sci Rep. 2017 Aug 16;7(1):8438. doi: 10.1038/s41598-017-08653-z.
Television consumption influences perceptions of attractive female body size. However, cross-cultural research examining media influence on body ideals is typically confounded by differences in the availability of reliable and diverse foodstuffs. 112 participants were recruited from 3 Nicaraguan villages that differed in television consumption and nutritional status, such that the contribution of both factors could be revealed. Participants completed a female figure preference task, reported their television consumption, and responded to several measures assessing nutritional status. Communities with higher television consumption and/or higher nutritional status preferred thinner female bodies than communities with lower television consumption and/or lower nutritional status. Bayesian mixed models estimated the plausible range of effects for television consumption, nutritional status, and other relevant variables on individual preferences. The model explained all meaningful differences between our low-nutrition villages, and television consumption, after sex, was the most likely of these predictors to contribute to variation in preferences (probability mass >95% when modelling only variables with zero-order associations with preferences, but only 90% when modelling all possible predictors). In contrast, we found no likely link with nutritional status. We thus found evidence that where media access and nutritional status are confounded, media is the more likely predictor of body ideals.
电视消费影响人们对理想女性体型的看法。然而,跨文化研究表明,媒体对身体理想的影响通常受到可靠和多样化食品供应差异的影响。本研究从 3 个尼加拉瓜村庄招募了 112 名参与者,这些村庄在电视消费和营养状况方面存在差异,以便揭示这两个因素的共同作用。参与者完成了女性体型偏好任务,报告了他们的电视消费情况,并回答了几个评估营养状况的措施。电视消费和/或营养状况较高的社区比电视消费和/或营养状况较低的社区更喜欢更瘦的女性身体。贝叶斯混合模型估计了电视消费、营养状况和其他相关变量对个体偏好的可能影响范围。该模型解释了我们营养较低的村庄之间的所有有意义的差异,并且在性别之后,电视消费是这些预测因素中最有可能导致偏好变化的因素(当仅对与偏好具有零阶关联的变量进行建模时,概率质量超过 95%,但当对所有可能的预测因素进行建模时,概率质量仅为 90%)。相比之下,我们没有发现与营养状况有明显联系。因此,我们发现有证据表明,在媒体获取和营养状况相互影响的情况下,媒体是身体理想的更可能的预测因素。