Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records

Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records

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. Cohort study of 10,811 childr...

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Bibliographic Details
Published in:BMC medical informatics and decision making Vol. 20; no. 1; p. 9
Main Authors: Sayon-Orea, Carmen, Moreno-Iribas, Conchi, Delfrade, Josu, Sanchez-Echenique, Manuela, Amiano, Pilar, Ardanaz, Eva, Gorricho, Javier, Basterra, Garbiñe, Nuin, Marian, Guevara, Marcela
Format: Journal Article
Language:English
Published: England BioMed Central Ltd 20-01-2020
BioMed Central
BMC
Subjects:
Age
Age groups
Bias
Body height
Body mass index
Child health
Childhood
Childhood obesity
Children
Children & youth
Childrens health
Demographic aspects
E-health
Electronic health records
Electronic medical records
Electronic records
Families & family life
Family
Family income
Forecasts and trends
Health services
Health surveillance
Inverse-probability weighting
Mathematical analysis
Medical records
Missing data
Multiple imputation
Nutrition
Obesity
Pediatrics
Population
Prejudice
Prevalence
Primary care
Public health
Variables
Weight status
Weighting
Spain
Childhood obesity
Inverse-probability weighting
Prevalence
Weight status
Multiple imputation
Electronic health records
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Summary: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. 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. 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. 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.
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ISSN:1472-6947
1472-6947
DOI:10.1186/s12911-020-1020-8