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|a We designed an experiment to explore the extent of measurement error in body mass index (BMI), when based on self-reported body weight and height. We find that there is a systematic age gradient in the reporting error in BMI, while there is limited evidence of systematic associations with gender, education and income. This is reassuring evidence for the use of self-reported BMI in studies that use it as an outcome, for example, to analyse socioeconomic gradients in obesity. However, our results suggest a complex structure of non-classical measurement error in BMI, depending on both individuals' and within-household peers' true BMI. This may bias studies that use BMI based on self-reported data as a regressor. Common methods to mitigate reporting error in BMI using predictions from corrective equations do not fully eliminate reporting heterogeneity associated with individual and withinhousehold true BMI. Overall, the presence of non-classical error in BMI highlights the importance of collecting measured body weight and height data in large social science datasets.
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We designed an experiment to explore the extent of measurement error in body mass index (BMI), when based on self-reported body weight and height. We find that there is a systematic age gradient in the reporting error in BMI, while there is limited evidence of systematic associations with gender, education and income. This is reassuring evidence for the use of self-reported BMI in studies that use it as an outcome, for example, to analyse socioeconomic gradients in obesity. However, our results suggest a complex structure of non-classical measurement error in BMI, depending on both individuals' and within-household peers' true BMI. This may bias studies that use BMI based on self-reported data as a regressor. Common methods to mitigate reporting error in BMI using predictions from corrective equations do not fully eliminate reporting heterogeneity associated with individual and withinhousehold true BMI. Overall, the presence of non-classical error in BMI highlights the importance of collecting measured body weight and height data in large social science datasets. |
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Davillas, Apostolos VerfasserIn (DE-588)1222742551 (DE-627)1742031390 aut, The implications of self-reported body weight and height for measurement error in BMI Apostolos Davillas, Andrew M Jones, Essen Global Labor Organization (GLO) 2021, 1 Online-Ressource (circa 14 Seiten) Illustrationen, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, GLO discussion paper no. 919, We designed an experiment to explore the extent of measurement error in body mass index (BMI), when based on self-reported body weight and height. We find that there is a systematic age gradient in the reporting error in BMI, while there is limited evidence of systematic associations with gender, education and income. This is reassuring evidence for the use of self-reported BMI in studies that use it as an outcome, for example, to analyse socioeconomic gradients in obesity. However, our results suggest a complex structure of non-classical measurement error in BMI, depending on both individuals' and within-household peers' true BMI. This may bias studies that use BMI based on self-reported data as a regressor. Common methods to mitigate reporting error in BMI using predictions from corrective equations do not fully eliminate reporting heterogeneity associated with individual and withinhousehold true BMI. Overall, the presence of non-classical error in BMI highlights the importance of collecting measured body weight and height data in large social science datasets., BMI, Experiment, Measurement error, Reporting bias, Jones, Andrew M. 1960- VerfasserIn (DE-588)128792817 (DE-627)380635496 (DE-576)297335952 aut, GLO discussion paper no. 919 919 (DE-627)1041298935 (DE-576)514706384 (DE-600)2951901-9, https://www.econstor.eu/bitstream/10419/238112/1/GLO-DP-0919.pdf Verlag kostenfrei, http://hdl.handle.net/10419/238112 Resolving-System kostenfrei, https://www.econstor.eu/bitstream/10419/238112/1/GLO-DP-0919.pdf LFER, LFER 2021-10-06T08:22:22Z |
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Davillas, Apostolos, Jones, Andrew M., The implications of self-reported body weight and height for measurement error in BMI, GLO discussion paper, no. 919, We designed an experiment to explore the extent of measurement error in body mass index (BMI), when based on self-reported body weight and height. We find that there is a systematic age gradient in the reporting error in BMI, while there is limited evidence of systematic associations with gender, education and income. This is reassuring evidence for the use of self-reported BMI in studies that use it as an outcome, for example, to analyse socioeconomic gradients in obesity. However, our results suggest a complex structure of non-classical measurement error in BMI, depending on both individuals' and within-household peers' true BMI. This may bias studies that use BMI based on self-reported data as a regressor. Common methods to mitigate reporting error in BMI using predictions from corrective equations do not fully eliminate reporting heterogeneity associated with individual and withinhousehold true BMI. Overall, the presence of non-classical error in BMI highlights the importance of collecting measured body weight and height data in large social science datasets., BMI, Experiment, Measurement error, Reporting bias |
| title |
The implications of self-reported body weight and height for measurement error in BMI |
| title_auth |
The implications of self-reported body weight and height for measurement error in BMI |
| title_full |
The implications of self-reported body weight and height for measurement error in BMI Apostolos Davillas, Andrew M Jones |
| title_fullStr |
The implications of self-reported body weight and height for measurement error in BMI Apostolos Davillas, Andrew M Jones |
| title_full_unstemmed |
The implications of self-reported body weight and height for measurement error in BMI Apostolos Davillas, Andrew M Jones |
| title_in_hierarchy |
no. 919. The implications of self-reported body weight and height for measurement error in BMI (2021) |
| title_short |
The implications of self-reported body weight and height for measurement error in BMI |
| title_sort |
implications of self reported body weight and height for measurement error in bmi |
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BMI, Experiment, Measurement error, Reporting bias |
| topic_facet |
BMI, Experiment, Measurement error, Reporting bias |
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https://www.econstor.eu/bitstream/10419/238112/1/GLO-DP-0919.pdf, http://hdl.handle.net/10419/238112 |
