Nutrition and Health Research Center, National Institute of Public Health, Cuernavaca, Morelos, México.
Department of Nutrition and Bioprogramming, National Institute of Perinatology, Mexico City, Mexico.
PLoS One. 2020 Jul 29;15(7):e0235967. doi: 10.1371/journal.pone.0235967. eCollection 2020.
We aimed to evaluate the agreement between self-reported weight (SRW) and measured weight (MW) in adult women of reproductive age, identify characteristics associated with the difference between SRW and MW (DW), and develop a correction procedure for SRW.
We used data from 3,452 non-pregnant or non-lactating adult women who participated in the Mexican Family Life Survey. Standardized personnel asked women about their weight before measuring weight and height. We conducted a Bland-Altman analysis for agreement and adjusted linear regression models for sociodemographic characteristics.
Mean DW was -0.59±3.21 kg. Difference varied according to Body Mass Index (BMI) and region of residence (p< 0.05). Correction model for log-MW, included the log-SRW, age group (18-34 and 35-49 years), interaction term (age × SRW), log-height, Southern region, and living with a partner. Based on self-reported weight, we observed an overestimation of underweight/normal weight prevalence and an underestimation of overweight or obesity prevalence.
SRW has limitations to be considered as an alternative to MW among women of reproductive age with specific characteristics. Our proposed correction equation may decrease SRW imprecision improving the estimation of overweight and obesity. We suggest that studies consider and adjust the possible bias associated with weight misreporting on health outcomes.
我们旨在评估育龄期成年女性自我报告体重（SRW）与实测体重（MW）之间的一致性，确定与 SRW 和 MW 之间差异（DW）相关的特征，并制定 SRW 的校正程序。
我们使用了参加墨西哥家庭生活调查的 3452 名未怀孕或未哺乳的成年女性的数据。标准化人员在测量体重和身高之前询问了女性的体重。我们进行了一致性的 Bland-Altman 分析，并对社会人口特征进行了调整线性回归模型。
平均 DW 为-0.59±3.21kg。差异根据体重指数（BMI）和居住地区而有所不同（p<0.05）。对数-MW 的校正模型包括对数-SRW、年龄组（18-34 岁和 35-49 岁）、交互项（年龄×SRW）、对数身高、南部地区和与伴侣同住。根据自我报告的体重，我们观察到低估了消瘦/正常体重的患病率，高估了超重或肥胖的患病率。
对于具有特定特征的育龄期女性，SRW 作为 MW 的替代方法存在局限性。我们提出的校正方程可能会降低 SRW 的不准确性，从而改善超重和肥胖的估计。我们建议研究考虑并调整与健康结果相关的体重报告偏倚。
