Multicollinearity in associations between multiple environmental features and body weight and abdominal fat: Using matching techniques to assess whether the associations are separable

American Journal of Epidemiology

Volumn 175, Issue 11, 2012, Pages 1152-1162

  Leal, Cinira ^a,b,c   Bean, Kathy ^d   Thomas, Frédérique ^d   Chaix, Basile ^a,b  

^a INSERM   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c EHESP SCHOOL OF PUBLIC HEALTH   (France)

^d Centre d'Investigations Preventives et Cliniques   (France)

Author keywords

Body mass index; environment; epidemiologic methods; matching; residence characteristics; waist circumference

Indexed keywords

BODY MASS; COHORT ANALYSIS; DATA SET; ENVIRONMENTAL CONDITIONS; EPIDEMIOLOGY; FAT; NEIGHBORHOOD; NUMERICAL MODEL; RESIDENT POPULATION; SOCIOECONOMIC CONDITIONS; WEIGHT;

ABDOMINAL FAT; ADULT; ARTICLE; BODY WEIGHT; COHORT ANALYSIS; ENVIRONMENTAL EXPOSURE; FEMALE; FRANCE; FRUIT; HUMAN; MAJOR CLINICAL STUDY; MALE; OBESITY; SOCIAL INTERACTION; SOCIOECONOMICS; VEGETABLE; WAIST CIRCUMFERENCE;

ADULT; AGED; BODY MASS INDEX; CAUSALITY; COHORT STUDIES; CROSS-SECTIONAL STUDIES; DATA INTERPRETATION, STATISTICAL; ENVIRONMENT; EPIDEMIOLOGIC RESEARCH DESIGN; FEMALE; FRANCE; HEALTH SURVEYS; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; OBESITY; RESIDENCE CHARACTERISTICS; SOCIOECONOMIC FACTORS; WAIST CIRCUMFERENCE;

FRANCE; ILE DE FRANCE; PARIS; VILLE DE PARIS;

EID: 84862208869     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwr434     Document Type: Article

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