Outcome-wide Epidemiology

被引:132
作者
VanderWeele, Tyler J. [1 ]
机构
[1] Harvard T H Chan Sch Publ Hlth, Dept Epidemiol, 677 Huntington Ave, Boston, MA 02115 USA
关键词
MENTAL-HEALTH; BIRTH-WEIGHT; BIAS; ALCOHOL; ASSOCIATIONS; METAANALYSIS; MORTALITY; SELECTION; COLLIDER; SMOKING;
D O I
10.1097/EDE.0000000000000641
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The author proposes that epidemiologic studies should more often assess the associations of a single exposure with multiple outcomes simultaneously. Such "outcome-wide epidemiology" will be especially important for exposures that may be beneficial for some outcomes but harmful for others. Outcome-wide epidemiology may also be helpful in prioritizing public health recommendations. Methodologically, the conduct of outcome-wide epidemiology will generally be more straightforward than recent proposals for exposure-wide epidemiologic studies, in which the associations between a single outcome and many exposures are assessed simultaneously. Such exposure-wide studies are likely to be subject to numerous biases because of the inability to make simultaneous confounding control and because exposures are likely to affect, and mediate the effects of, other exposures. These problems simplify considerably in an outcome-wide approach when a single exposure is being considered. Moreover, outcome-wide approaches will generally be more useful than exposure-wide approaches in shaping public health recommendations.
引用
收藏
页码:399 / 402
页数:4
相关论文
共 30 条
[1]  
[Anonymous], 2015, EXPLANATION CAUSAL I
[2]  
[Anonymous], 2009, CAUSALITY MODELS REA
[3]   Identifying Priorities for Mental Health Interventions in War-Affected Youth: A Longitudinal Study [J].
Betancourt, Theresa S. ;
Gilman, Stephen E. ;
Brennan, Robert T. ;
Zahn, Ista ;
VanderWeele, Tyler J. .
PEDIATRICS, 2015, 136 (02) :E344-E350
[4]   Alcohol and injuries: a review of international emergency room studies since 1995 [J].
Cherpitel, Cheryl J. .
DRUG AND ALCOHOL REVIEW, 2007, 26 (02) :201-214
[5]   Illustrating bias due to conditioning on a collider [J].
Cole, Stephen R. ;
Platt, Robert W. ;
Schisterman, Enrique F. ;
Chu, Haitao ;
Westreich, Daniel ;
Richardson, David ;
Poole, Charles .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2010, 39 (02) :417-420
[6]   Alcohol dosing and total mortality in men and women - An updated meta-analysis of 34 prospective studies [J].
Di Castelnuovo, Augusto ;
Costanzo, Simona ;
Bagnardi, Vincenzo ;
Donati, Maria Benedetta ;
Iacoviello, Licia ;
de Gaetano, Giovanni .
ARCHIVES OF INTERNAL MEDICINE, 2006, 166 (22) :2437-2445
[7]   To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias [J].
Ding, Peng ;
Miratrix, Luke W. .
JOURNAL OF CAUSAL INFERENCE, 2015, 3 (01) :41-57
[8]  
Fryer RG, 2011, HBK ECON, V4, P855, DOI 10.1016/S0169-7218(11)02408-7
[9]   Quantifying biases in causal models:: Classical confounding vs collider-stratification bias [J].
Greenland, S .
EPIDEMIOLOGY, 2003, 14 (03) :300-306
[10]   A structural approach to selection bias [J].
Hernán, MA ;
Hernández-Díaz, S ;
Robins, JM .
EPIDEMIOLOGY, 2004, 15 (05) :615-625