Journal Article

DKFZ-2022-01765

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png The bias from heaping on risk estimation: Effect of age at diagnosis of hypertension on risk of subsequent cardiovascular comorbidities.

Jaeschke, L. ; Becher, M. ; Velásquez, I. M. ; Ahrens, W. ; Bächle, C. ; Baurecht, H. ; Fricke, J. ; Greiser, K. H.DKFZ* ; 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.

2022
Elsevier Science Amsterdam [u.a.]

This record in other databases:  

Please use a persistent id in citations: doi:10.1016/j.annepidem.2022.07.012

Abstract: 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.

Keyword(s): cardiovascular comorbidities ; digit preference ; effect estimates ; epidemiologic study ; heaping ; hypertension ; simulation study

Note: 2022 Aug 5;74:84-96

---

Contributing Institute(s):

1. C020 Epidemiologie von Krebs (C020)

Research Program(s):

1. 313 - Krebsrisikofaktoren und Prävention (POF4-313) (POF4-313)

Appears in the scientific report 2022

---

Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---