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Jaeschke, L.* ; Becher, M.* ; Velásquez, I.M.* ; Ahrens, W.* ; Bächle, C.* ; Baurecht, H.* ; Fricke, J.* ; Greiser, K.H.* ; Günther, K.* ; Heier, M. ; Karch, A.* ; Kluttig, A.* ; Krist, L.* ; Leitzmann, M.* ; Michels, K.* ; Mikolajczyk, R.* ; Peters, A. ; Schipf, S.* ; Völzke, H.* ; Pischon, T.* ; Becher, H.*

The bias from heaping on risk estimation: Effect of age at diagnosis of hypertension on risk of subsequent cardiovascular comorbidities.

Ann. Epidemiol. 74, 84-96 (2022)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Purpose: To investigate (1) the bias in effect estimation due to heaping or digit preference, (2) the association between age at hypertension diagnosis and risk of cardiovascular comorbidities, and (3) the influence of heaping on risk estimates. Methods: 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. Results: 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%. Conclusions: 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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Cardiovascular Comorbidities ; Digit Preference ; Effect Estimates ; Epidemiologic Study ; Heaping ; Hypertension ; Simulation Study
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 1047-2797
e-ISSN 1873-2585
Quellenangaben Band: 74, Heft: , Seiten: 84-96 Artikelnummer: , Supplement: ,
Verlag Elsevier
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-006
G-504000-010
Förderungen Helmholtz Association
Bundesministerium für Bildung und Forschung
Leibniz-Gemeinschaft
Scopus ID 85135913285
PubMed ID 35940393
Erfassungsdatum 2022-10-19