Turning the analysis of obesity-mortality associations upside down: Modeling years of life lost through conditional distributions

Obesity

Volumn 21, Issue 2, 2013, Pages 398-404

  Robertson, Henry T ^a   De Los Campos, Gustavo ^a   Allison, David B ^a  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ARTICLE; BODY MASS; DISEASE ASSOCIATION; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; LONGEVITY; MAJOR CLINICAL STUDY; MALE; MORTALITY; NORMAL DISTRIBUTION; OBESITY; PARAMETRIC TEST; POPULATION RESEARCH; PROPORTIONAL HAZARDS MODEL; RISK FACTOR; SURVIVAL;

AFRICAN CONTINENTAL ANCESTRY GROUP; BODY MASS INDEX; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; HUMANS; LIFE EXPECTANCY; LOGISTIC MODELS; MALE; MODELS, THEORETICAL; OBESITY; PROPORTIONAL HAZARDS MODELS; RISK FACTORS; SURVIVAL ANALYSIS;

EID: 84876247028     PISSN: 19307381     EISSN: 1930739X     Source Type: Journal    
DOI: 10.1002/oby.20019     Document Type: Article

References (18)

1. van Dijk PC. The analysis of survival data in nephrology: basic concepts and methods of Cox regression. Kidney Int 2008;74:705-709.
2. Klein JP, Moeschburger ML. Survival Analysis: Techniques for Censored and Truncated Data. Springer, 2005. p 74.
3. Fontaine KR, Redden DT, Wang C, Westfall AO, Allison DB. Years of life lost due to obesity. J Am Med Assoc 2003;289:187-193. (Pubitemid 36068706)
4. Juckett DA, Rosenberg B. Comparison of the Gompertz and Weibull functions as descriptors for human mortality distributions and their intersections. Mech Ageing Dev 1993;69:1-31.
5. Gage TB, Mode CJ. Some laws of mortality: how well do they fit? Hum Biol 1993; 65:445-461.
6. Prabhakar C, Chicken E, McGee D. Time scales in epidemiological analysis: an empirical comparison. Stat Med 2009:1-13.
7. SAS Institute Inc. SAS 9.2 Help and Documentation. Cary, NC, 2002-2010.
8. UCLA: Academic Technology Services, Statistical Consulting Group. Introduction to SPSS. Available from: http://www.ats.ucla.edu/stat/spss/ examples/asa2/chap8.htm (accessed October 6, 2011).
9. R Foundation for Statistical Computing, Vienna, Austria (2011).
10. StataCorp. 2011. Stata Statistical Software: Release 12. College Station, TX: Stata-Corp LP.
11. Robertson HT, Allison DB. A novel generalized normal distribution for modeling human longevity and other negatively skewed data. PLos One 2012, in press.
12. Kannisto V. Mode and dispersion of the length of life. Population: an English selection. Biodemographic Perspectives on Human Longevity 2001;13:159-171.
13. National Health and Nutrition Examination Survey. Centers for Disease Control and Prevention, National Center for Health Statistics [Internet] [accessed 2011-08-02]. Available from: http://www.cdc.gov/nchs/.
14. National Center for Health Statistics. Atlanta, GA: Centers for Disease Control and Prevention; 2010. 2009 National Health Interview Survey (NHIS) Public Use Data Release: NHIS Survey Description URL: ftp://ftp.cdc.gov/pub/ Health-Statistics/NCHS/Dataset-Documentation/NHIS/2009/srvydesc [accessed 2011-08-02].
15. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators. Am J Epidemiol 1989;129:687-702.
16. Heo M, Faith MS, Mott J, Gorman BS, Redden DT, Allison DB. Development of natural growth curves for body mass index in obese adults: an illustration of hierarchical linear models. Stat Med 2003;22:1911-1942. (Pubitemid 36603563)
17. Gelber RP, Kurth T, Manson JE, Buring JE, Gaziano JM. Body mass index and mortality in men: evaluating the shape of the association. Int J Obes 2007;31: 1240-1247. (Pubitemid 47179723)
18. Garrison RJ, Feinleib M, Castelli WP, McNamara PM. Cigarette smoking as a confounder of the relationship between relative weight and long-term mortality. The Framingham Heart Study. J Am Med Assoc 1983;249:2199-2203. (Pubitemid 13118677)