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Visual Representation of Body Shape in African-American and European American Women: Clinical Considerations

机译:非裔美国人和欧美妇女身体形态的视觉表示:临床考虑

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Background Body mass index (BMI) has been used widely among clinicians to assess obesity in their patients due to its ease and availability. However, BMI has some diagnostic limitations and other measures related to health risks; in particular, body shape may be of greater relevance to health outcomes.Objective The objective of this study was to illustrate the importance of body shape assessments above and beyond BMI and its relationship to health risk among a sample of African-American and European American women.Methods African-American and European American women aged 19–78 years (n = 552) in Birmingham, Alabama, were recruited and stratified by menopausal status (ie, pre- or postmenopausal). Pictorial body shapes were derived from digital photographs, while body fat distribution defined by android-gynoid ratio (AGR) and body composition were obtained from dual-energy X-ray absorptiometry.Results Images of BMI and age-matched women illustrate variability in fat distribution. Among both menopausal status groups, more than 50% of women had a pear body shape (AGR < 1). An apple body shape was associated with higher odds of having diabetes (unadjusted odds ratio [OR]: 4.1, 95% confidence interval [CI]: 1.9–9.3), hypertension (unadjusted OR: 3.1, 95% CI: 2.0–4.7), and high cholesterol (unadjusted OR: 3.0, 95% CI: 1.8–5.1).Conclusion Use of visual cues alongside traditional methods of weight status assessment may help to facilitate weight management conversations between physicians and female patients. However, next steps should include the validation of visual assessments of body shape in women for use by physicians.
机译:背景技术体重指数(BMI)由于其易用性和实用性,已在临床医生中广泛用于评估患者的肥胖。但是,BMI具有一些诊断方面的局限性以及与健康风险有关的其他措施。目的本研究的目的是说明非裔美国人和欧洲裔女性样本中BMI之上和之外的身体形态评估的重要性及其与健康风险的关系。方法招募阿拉巴马州伯明翰市19-78岁(n = 552)的非洲裔美国妇女和欧洲裔妇女,并按绝经状态(即绝经前或绝经后)进行分层。图形化的身体形状来自数字照片,而由双能X线吸收法获得的人体性别分布(由Android-女性生殖器比率(AGR)定义)和身体成分得到。结果BMI和年龄匹配的女性的图像说明了脂肪分布的变异性。在两个更年期状态组中,超过50%的女性具有梨形体(AGR <1)。苹果的体型与患糖尿病的几率更高(未调整的优势比[OR]:4.1,95%置信区间[CI]:1.9-9.3),高血压(未调整的OR:3.1、95%CI:2.0-4.7) ,以及高胆固醇(未经调整的OR:3.0,95%CI:1.8-5.1)。结论将视觉提示与传统的体重状态评估方法结合使用可能有助于促进医师和女性患者之间的体重管理对话。但是,下一步应该包括对女性身体形状的视觉评估进行验证,以供医生使用。

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