High Cigarette and Poly-Tobacco Use Among Workers in a Dusty Industry: New Jersey Quarry Workers

Judith M Graber1, Karen Worthington, Kirsten S Almberg

  • 1Rutgers, The State University of New Jersey, Environmental and Occupational Health Sciences Institute, Piscataway (Dr Graber); Consumer Environment and Occupational Health Service, New Jersey Department of Health and Senior Services, Communicable Disease Service, New Jersey Department of Health, Trenton (Worthington); Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago (Almberg); Department of Environmental & Occupational Health, School of Public Health, Rutgers, The State University of New Jersey, Piscataway (Dr Meng); Department of Medicine, National Jewish Health and University of Colorado, Denver (Dr Rose); Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago (Dr Cohen).

Abstract

Related Concept Videos

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.2K