Results 141 to 150 of about 162,798 (272)
Serum Cotinine and Chronic Pain: NHANES 2003-2004
Tobacco smoke exposure continues to be the leading preventable risk factor for many diseases and has the potential to be a risk factor for chronic pain. The purpose of this study is to determine the relationship of chronic pain with smoking, secondhand smoke exposure and non-smoking using serum cotinine (and self-report of living with someone who ...
openaire +2 more sources
J. Hollowell +6 more
semanticscholar +1 more source
Jialin Gu,1,2,* Hailan Wu,1,3,* Wanjing Diao,1,* Yi Ji,1 Jianyue Li,1 Jiege Huo1 1Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu ...
Gu J, Wu H, Diao W, Ji Y, Li J, Huo J
doaj
Food Insecurity or Poverty? Measuring Need-Related Dietary Adequacy [PDF]
We examine the extent to which food insecurity questions and the standard poverty measure are correlated with various dietary and physiologic outcomes. Our findings suggest that the correlations vary tremendously by age.
Janet Currie +2 more
core
Dongru Du,1– 3,* Jianjun Luo,1,4,* Weiling Cai,1,5 Jiangyue Qin,6 Yao Yang,1,2 Xueru Hu,1,2 Xiaohua Li,1,7 Fengming Luo,1– 3 Yongchun Shen1,2 1Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu ...
Du D +8 more
doaj
Objective: This study aimed to evaluate the association of conicity index (C-index), a marker of abdominal obesity, with hearing impairment (HI) in US adults using data from the National Health and Nutrition Examination Survey (NHANES).
Guifen Cai +3 more
doaj +1 more source
The contribution of health risk behaviors to excess mortality in American adults with chronic hepatitis C: a population cohort-study [PDF]
Amin +32 more
core +1 more source
Beyond BMI: The Value of More Accurate Measures of Fatness and Obesity in Social Science Research [PDF]
Virtually all social science research related to obesity uses body mass index (BMI), usually calculated using self-reported values of weight and height, or clinical weight classifications based on BMI.
John Cawley, Richard V. Burkhauser
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