Does obesity shorten life?: The importance of well-defined interventions to answer causal questions

被引:273
作者
Hernan, M. A. [1 ,2 ]
Taubman, S. L. [1 ,3 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[2] Harvard Mit Div Hlth Sci & Technol, Boston, MA USA
[3] Univ Penn, Sch Med, Ctr Clin Epidemiol & Biostat, Philadelphia, PA 19104 USA
关键词
causal effects; causal inference; interventions; confounding; body mass index;
D O I
10.1038/ijo.2008.82
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Many observational studies have estimated a strong effect of obesity on mortality. In this paper, we explicitly define the causal question that is asked by these studies and discuss the problems associated with it. We argue that observational studies of obesity and mortality violate the condition of consistency of counterfactual ( potential) outcomes, a necessary condition for meaningful causal inference, because ( 1) they do not explicitly specify the interventions on body mass index ( BMI) that are being compared and ( 2) different methods to modify BMI may lead to different counterfactual mortality outcomes, even if they lead to the same BMI value in a given person. Besides precluding the estimation of unambiguous causal effects, this violation of consistency affects the ability to address two additional conditions that are also necessary for causal inference: exchangeability and positivity. We conclude that consistency violations not only preclude the estimation of well- defined causal effects but also compromise our ability to estimate ill- defined causal effects. International Journal of Obesity
引用
收藏
页码:S8 / S14
页数:7
相关论文
共 12 条
  • [1] Annual deaths attributable to obesity in the United States
    Allison, DB
    Fontaine, KR
    Manson, JE
    Stevens, J
    VanItallie, TB
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1999, 282 (16): : 1530 - 1538
  • [2] Excess deaths associated with underweight, overweight, and obesity
    Flegal, KM
    Graubard, BI
    Williamson, DF
    Gail, MH
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2005, 293 (15): : 1861 - 1867
  • [3] Greenland S., 1998, MODERN EPIDEMIOLOGY, P47
  • [4] Epidemiologic measures and policy formulation: Lessons from potential outcomes
    Greenland S.
    [J]. Emerging Themes in Epidemiology, 2 (1):
  • [5] Estimating causal effects from epidemiological data
    Hernán, MA
    Robins, JM
    [J]. JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2006, 60 (07) : 578 - 586
  • [6] Invited commentary:: Hypothetical interventions to define causal effects -: Afterthought or prerequisite?
    Hernán, MA
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2005, 162 (07) : 618 - 620
  • [7] A definition of causal effect for epidemiological research
    Hernán, MA
    [J]. JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2004, 58 (04) : 265 - 271
  • [8] HOLLAND PW, 1986, J AM STAT ASSOC, V81, P945, DOI 10.2307/2289064
  • [9] Actual causes of death in the United States, 2000 (vol 291, pg 1238, 2004)
    Mokdad, AH
    Marks, JS
    Stroup, DF
    Gerberding, JL
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2005, 293 (03): : 293 - 294
  • [10] Actual causes of death in the United States, 2000
    Mokdad, AH
    Marks, JS
    Stroup, DF
    Gerberding, JL
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2004, 291 (10): : 1238 - 1245