KSE
Articles
- Page Path
- HOME > Epidemiol Health > Volume 44; 2022 > Article
- Original Article Item non-response imputation in the Korea National Health and Nutrition Examination Survey
-
Serhim Son
, Hyemi Moon
, Hyonggin An
-
Epidemiol Health 2022;44e2022096-0
DOI: https://doi.org/10.4178/epih.e2022096
Published online: October 28, 2022
- 785 Views
- 55 Download
- 0 Crossref
- 0 Scopus
-
Corresponding author:
Hyonggin An,
Email: hyonggin@korea.ac.kr
Serhim Son and Hyemi Moon contributed equally to this study as co-first authors.
Abstract
OBJECTIVES
The Korea National Health and Nutrition Examination Survey (KNHANES) is a public health survey that assesses individuals’ health and nutritional status and monitors the prevalence of major chronic diseases. In general, sampling weights are adjusted for unit non-responses and imputation is conducted for item non-responses. In this study, we proposed strategies for imputing item non-responses in the KNHANES in order to improve the usefulness of data, minimize bias, and increase statistical power.
METHODS
After applying logical imputation, we adopted 2 separate imputation methods for each variable type: unweighted sequential hot-deck imputation for categorical variables and sequential regression imputation for continuous variables. For variance estimation, multiple imputations were applied to the continuous variables. To evaluate the performance of the proposed strategies, we compared the marginal distributions of imputed variables and the results of multivariable regression analysis for the complete-case data and the expanded data with imputed values, respectively.
RESULTS
When comparing the marginal distributions, most non-responses were imputed. The multivariable regression coefficients presented similar estimates; however, the standard errors decreased, resulting in statistically significant p-values. The proposed imputation strategies may cope with the loss of precision due to missing data, thus enhancing statistical power in analyses of the KNHANES by providing expanded data with imputed values.
CONCLUSIONS
The proposed imputation strategy may enhance the utility of data by increasing the number of complete cases and reducing the bias in the analysis, thus laying a foundation to cope with the occurrence of item non-responses in further surveys.
Cited- Related articles
-
- Multimorbidity patterns by health-related quality of life status in older adults: An association rules and network analysis utilizing Korean National Health and Nutrition Examination Survey
- Changes in eating behaviors according to household income in adolescents during the COVID-19 pandemic: findings from the Korea National Health and Nutrition Examination Survey
- Non-linear association between serum folate concentrations and dyslipidemia: Korea National Health and Nutrition Examination Survey 2016-2018
- Smoking, drinking, and physical activity among Korean adults before and during the COVID-19 pandemic: a special report of the 2020 Korea National Health and Nutrition Examination Survey
- Mental health of Korean adults before and during the COVID-19 pandemic: a special report of the 2020 Korea National Health and Nutrition Examination Survey
- Seroprevalence of SARS-CoV-2 antibodies in the community based on participants in the 2020 Korea National Health and Nutrition Examination Survey
