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Nutritional status and the influence of TV consumption on female body size ideals in populations recently exposed to the media

机译:最近接触媒体的人群的营养状况和电视消费对女性体型理想的影响

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摘要

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.
机译:电视消费会影响女性魅力的观念。然而,跨文化研究考察媒体对身体理想的影响通常与可靠和多样化食品的可用性差异混淆。从尼加拉瓜的3个村庄招募了112名参与者,这些村庄的电视消费和营养状况不同,因此可以揭示这两个因素的贡献。参加者完成了女性形象偏好任务,报告了电视消费量,并对评估营养状况的多项措施做出了回应。电视消费量较高和/或营养状况较高的社区比电视消费量较低和/或营养状况较低的社区更喜欢瘦的女性。贝叶斯混合模型估计了电视消费,营养状况以及其他有关个人喜好的相关变量的影响的合理范围。该模型解释了我们低营养村庄之间的所有有意义的差异,性别之后的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(当仅对具有偏好的零级关联变量进行建模时,概率质量> 95% ,但在对所有可能的预测变量建模时只有90%)。相反,我们发现可能与营养状况没有联系。因此,我们发现有证据表明,在媒体获取和营养状况混杂的地方,媒体更可能是人体理想的预测指标。

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