BACKGROUND AND OBJECTIVES Height and weight data from electronic health records are increasingly being used to estimate the prevalence of childhood obesity. Here, we aim to assess the selection bias due to missing weight and height data from electronic health records in children older than five. METHODS Cohort study of 10,811 children born in Navarra (Spain) between 2002 and 2003, who were still living in this region by December 2016. We examined the differences between measured and non-measured children older than 5 years considering weight-associated variables (sex, rural or urban residence, family income and weight status at 2-5 yrs). These variables were used to calculate stabilized weights for inverse-probability weighting and to conduct multiple imputation for the missing data. We calculated complete data prevalence and adjusted prevalence considering the missing data using inverse-probability weighting and multiple imputation for ages 6 to 14 and group ages 6 to 9 and 10 to 14. RESULTS For 6-9 years, complete data, inverse-probability weighting and multiple imputation obesity age-adjusted prevalence were 13.18% (95% CI: 12.54-13.85), 13.22% (95% CI: 12.57-13.89) and 13.02% (95% CI: 12.38-13.66) and for 10-14 years 8.61% (95% CI: 8.06-9.18), 8.62% (95% CI: 8.06-9.20) and 8.24% (95% CI: 7.70-8.78), respectively. CONCLUSIONS Ages at which well-child visits are scheduled and for the 6 to 9 and 10 to 14 age groups, weight status estimations are similar using complete data, multiple imputation and inverse-probability weighting. Readily available electronic health record data may be a tool to monitor the weight status in children.

中文翻译：

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利用电子健康记录中的数据，在估计儿童肥胖患病率中评估选择偏差时，采用反概率加权和多重插补。

背景和目标越来越多地使用电子健康记录中的身高和体重数据来估计儿童肥胖的患病率。在这里，我们旨在评估由于五岁以上儿童的电子健康记录中缺少体重和身高数据而导致的选择偏见。方法对2002年至2003年在西班牙纳瓦拉（Navarra）出生的10811名儿童进行队列研究，该儿童到2016年12月仍生活在该地区。我们考虑了体重相关变量（性别），对5岁以上的测量儿童和未测量儿童进行了比较，农村或城市居民，家庭收入和2-5岁儿童的体重状况）。这些变量用于计算反概率加权的稳定权重，并对缺失的数据进行多次插补。我们使用反概率加权和6至14岁年龄组和6至9和10至14岁组的多重插补计算了完整数据的普遍性，并考虑了缺失数据，对校正后的普遍性进行了计算。结果在6-9年中，完整数据，反概率加权和多次插补肥胖年龄校正的患病率分别为13.18％（95％CI：12.54-13.85），13.22％（95％CI：12.57-13.89）和13.02％（95％CI：12.38-13.66）并持续10-14年。分别为8.61％（95％CI：8.06-9.18），8.62％（95％CI：8.06-9.20）和8.24％（95％CI：7.70-8.78）。结论计划安排好孩子访视的年龄以及6至9岁和10至14岁年龄组的体重状况，使用完整数据，多重推算和反概率加权得出的体重状态估算值相似。