Applying a directed acyclic graph (DAG): Testosterone as a risk factor for development of type 2 diabetes mellitus in the study of health in pomerania (SHIP);Anwendungsbeispiel eines Directed Acyclic Graphs (DAG): Testosteron als Risikofaktor für die Entwicklung eines Typ-2-Diabetes mellitus in der Study of Health in Pomerania (SHIP)

Gesundheitswesen

Volumn 73, Issue 12, 2011, Pages 906-908

  Schipf, S ^a  

^a UNIVERSITY OF GREIFSWALD   (Germany)

Author keywords

causal diagrams; DAG; men; Study of Health in Pomerania; testosterone; type 2 diabetes

Indexed keywords

TESTOSTERONE;

ADULT; ALGORITHM; ARTICLE; BIOMETRY; BLOOD; COMPUTER GRAPHICS; EPIDEMIOLOGY; GERMANY; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS; PREVALENCE; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; RISK FACTOR; STATISTICAL ANALYSIS;

ADULT; ALGORITHMS; BIOMETRY; CAUSALITY; COMPUTER GRAPHICS; DATA INTERPRETATION, STATISTICAL; DIABETES MELLITUS, TYPE 2; GERMANY; HUMANS; MALE; MIDDLE AGED; PREVALENCE; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; RISK ASSESSMENT; RISK FACTORS; TESTOSTERONE; YOUNG ADULT;

EID: 84655161598     PISSN: 09413790     EISSN: 14394421     Source Type: Journal    
DOI: 10.1055/s-0031-1291193     Document Type: Article

References (11)

1. Ding E L, Song Y, Malik V S et al. Sex differences of endogenous sex hormones and risk of type 2 diabetes: a systematic review and meta-analysis. JAMA: 2006; 295 11 1288 1299
2. Schipf S, Haring R, Friedrich N et al. Low total testosterone is associated with increased risk of incident type 2 diabetes mellitus in men: results from the Study of Health in Pomerania (SHIP). Aging Male: 2011; 14 03 168 175
3. Glymour M M, Greenland S. Causal diagrams. In: Rothman K J, Greenland S, Lash TL. Modern Epidemiology. Philadelphia Wolters Kluwer, Lippincott Williams & Wilkins: 2008; 183 209
4. Glymour M M. Using causal diagrams to understand common problems in social epidemiology. In: Oakes J M, Kaufman J S. editors. Methods in social epidemiology. San Francisco Jossey-Bass, Wiley Imprint: 2006; 393 428
5. Pearl J. Causality: Models, reasoning and inference. 2. Aufl. New York Cambridge University Press: 2009
6. Greenland S, Pearl J, Robins J M. Causal diagrams for epidemiologic research. Epidemiology: 1999; 10 37 48 (Pubitemid 29014427)
7. World Health Organisation Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia Report of a WHO/IDF Consultation. WHO Document Production Services, Geneva, Switzerland. 2006; 1 46
8. Oh J Y, Barrett-Connor E, Wedick N M et al. Endogenous sex hormones and the development of type 2 diabetes in older men and women: the Rancho Bernardo study. Diabetes care: 2002; 25 01 55 60 (Pubitemid 41070783)
9. Svartberg J, von Muhlen D, Sundsfjord J et al. Waist circumference and testosterone levels in community dwelling men. The Tromso study. European journal of epidemiology: 2004; 19 07 657 663 (Pubitemid 41175133)
10. Knüppel S. DAG program. Nuthetal. Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DIfE): 2009; Online verfgbar http://epi.dife.de/dag/
11. Knüppel S, Stang A. DAG program: identifying minimal sufficient adjustment sets. Epidemiology: 2010; 21 01 159