Home > Publications database > The bias from heaping on risk estimation: Effect of age at diagnosis of hypertension on risk of subsequent cardiovascular comorbidities. > print

001     181081
005     20240229145639.0
024 7 _ |a 10.1016/j.annepidem.2022.07.012
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024 7 _ |a 1047-2797
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024 7 _ |a 1873-2585
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037 _ _ |a DKFZ-2022-01765
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082 _ _ |a 610
100 1 _ |a Jaeschke, Lina
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245 _ _ |a The bias from heaping on risk estimation: Effect of age at diagnosis of hypertension on risk of subsequent cardiovascular comorbidities.
260 _ _ |a Amsterdam [u.a.]
|c 2022
|b Elsevier Science
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500 _ _ |a 2022 Aug 5;74:84-96
520 _ _ |a To investigate (1) the bias in effect estimation due to heaping, (2) the association between age at hypertension diagnosis and risk of cardiovascular comorbidities, and (3) the influence of heaping on risk estimates.We performed a simulation study with various scenarios, binary outcome, and normal or lognormal distributed covariables. We calculated mean logistic coefficients under the original and heaped data and their relative deviation. The association of age at hypertension diagnosis and risk of ≥1 cardiovascular comorbidity was investigated using logistic regression among 50,858 participants in the NAKO Gesundheitsstudie (German National Cohort) who reported such diagnosis. We assessed the proportion of heaped observations and to what extent heaping may have influenced risk estimates.Based on the simulation study and assuming 50% of observations in the variable of interest to be heaped, relative bias was <6%. In NAKO, a 5-year younger age at hypertension diagnosis was associated with a 15% increased risk of having ≥1 cardiovascular comorbidity. Observed heaping in age at hypertension diagnosis was 12.6%, and bias of the risk estimate was 0.14%.Bias in effect estimation due to heaping is low in most common scenarios. Younger age at hypertension diagnosis is associated with a higher risk of cardiovascular comorbidities.
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650 _ 7 |a cardiovascular comorbidities
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650 _ 7 |a digit preference
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650 _ 7 |a effect estimates
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650 _ 7 |a epidemiologic study
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650 _ 7 |a heaping
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650 _ 7 |a hypertension
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650 _ 7 |a simulation study
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700 1 _ |a Becher, Matthias
|b 1
700 1 _ |a Velásquez, Ilais Moreno
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700 1 _ |a Ahrens, Wolfgang
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700 1 _ |a Bächle, Christina
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700 1 _ |a Baurecht, Hansjörg
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700 1 _ |a Fricke, Julia
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700 1 _ |a Greiser, Karin Halina
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700 1 _ |a Günther, Kathrin
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700 1 _ |a Heier, Margit
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700 1 _ |a Karch, André
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700 1 _ |a Kluttig, Alexander
|b 11
700 1 _ |a Krist, Lilian
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700 1 _ |a Leitzmann, Michael
|b 13
700 1 _ |a Michels, Karin
|b 14
700 1 _ |a Mikolajczyk, Rafael
|b 15
700 1 _ |a Peters, Annette
|b 16
700 1 _ |a Schipf, Sabine
|b 17
700 1 _ |a Völzke, Henry
|b 18
700 1 _ |a Pischon, Tobias
|b 19
700 1 _ |a Becher, Heiko
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773 _ _ |a 10.1016/j.annepidem.2022.07.012
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