Directed acyclic graphs helped to identify confounding in the association of disability and electrocardiographic findings: Results from the KORA-Age study.
    
    
        
    
    
        
        J. Clin. Epidemiol. 67, 199-206 (2014)
    
    
		
		
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			Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
		
     
    
		
		
			
				OBJECTIVES: To examine the association between electrocardiographic (ECG) findings and disability status in older adults. STUDY DESIGN AND SETTING: KORA-Age, a population-based cross-sectional study of the MONICA/KORA project, a randomized sample from Southern Germany of people aged 65 years or older. RESULTS: A total of 534 (51.5%) of 1,037 participants were characterized as disabled. Disabled participants were on average 4.5 years older than those who were not disabled. Crude associations of left-axis deviation, ventricular conduction defects, atrial fibrillation, and QT prolongation with disability status were significant (P < 0.05). In models controlled for age and sex, these effects remained constant except for QT prolongation. In the models adjusted for the minimal sufficient adjustment set (consisting of the variables sex, physical activity, age, obesity, diabetes, education, heart diseases, income, lung diseases, and stroke) identified by a directed acyclic graph (DAG), no significant association could be shown. CONCLUSION: Associations between specific ECG findings and disability were found in unadjusted analysis and logistic models adjusted for age and sex. However, when adjusting for other possible confounders identified by the DAG, all these associations were no longer significant. It is important to adequately identify confounding in such settings.
			
			
				
			
		 
		
			
				
					
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        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
        Typ der Hochschulschrift
        
    
 
    
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        Schlagwörter
        Aged; Cross-sectional study; Directed acyclic graph (DAG); Disability evaluation; ECG abnormalities; Electrocardiography; Subclinical Cardiovascular-disease; Causal-diagrams; Hdl-cholesterol; Blood-pressure; Oldest-old; Health; Epidemiology; Limitations; Impact; Cohort
    
 
    
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        englisch
    
 
    
        Veröffentlichungsjahr
        2014
    
 
    
        Prepublished im Jahr 
        2013
    
 
    
        HGF-Berichtsjahr
        2013
    
 
    
    
        ISSN (print) / ISBN
        0895-4356
    
 
    
        e-ISSN
        0895-4356
    
 
    
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	    Band: 67,  
	    Heft: 2,  
	    Seiten: 199-206 
	    Artikelnummer: ,  
	    Supplement: ,  
	
    
 
  
        
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            Elsevier
        
 
        
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        Peer reviewed
    
 
     
    
        POF Topic(s)
        30205 - Bioengineering and Digital Health
30202 - Environmental Health
    
 
    
        Forschungsfeld(er)
        Enabling and Novel Technologies
Genetics and Epidemiology
    
 
    
        PSP-Element(e)
        G-505500-003
G-504000-002
G-504090-001
    
 
    
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        Erfassungsdatum
        2013-11-15