Expected impact of a public health intervention in the presence of synergistic risk factors

被引:0
作者
Charvat, Hadrien [1 ,2 ,3 ]
Gueyffier, Francois [1 ,2 ,3 ,4 ]
Belot, Aurelien [1 ,2 ,3 ,5 ]
Roy, Pascal [1 ,2 ,3 ]
机构
[1] Univ Paris 01, F-69100 Villeurbanne, France
[2] CNRS, UMR5558, Lab Biometrie & Biol Evolut, Equipe Biostat Sante, F-69100 Villeurbanne, France
[3] Hosp Civils Lyon, Serv Biostat, F-69003 Lyon, France
[4] INSERM, Ctr Invest Clin 201, F-69500 Bron, France
[5] Inst Veille Sanit, Dept Malad Chron & Traumatismes, F-94410 St Maurice, France
关键词
Hypertension; Population attributable fraction; Risk assessment; Risk factors; Stroke; Synergy; ATTRIBUTABLE RISK; BLOOD-PRESSURE; GLOBAL BURDEN; DISEASE; FRACTIONS; HYPERTENSION; PROPORTION;
D O I
10.1016/j.jclinepi.2012.11.004
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective: Elaborate and test a method to extrapolate the population attributable fraction (benefit of an intervention to reduce the exposure of a given population to a given risk factor) to another population allowing for effects of synergistic factors. Study Design and Setting: Using data from the Systolic Hypertension in the Elderly Program, the present study investigated the impact of a reduction of blood pressure on the occurrence of stroke accounting for the age of the targeted population. Results: A reduction of blood pressure in populations differing by their age distributions showed that the preventable proportion of strokes increased with age. A 20-mm Hg reduction of blood pressure in a population with mean age 60 years was associated with a 14% reduction of strokes and 18% in a population with mean age 70 years. The difference between these two proportions can be interpreted as the proportion of cases due to the synergistic actions of age and high blood pressure on the occurrence of stroke. Conclusion: The presented example illustrates how the method may be used by public health practitioners to transpose the potential benefits of interventions estimated in a study population to other populations with different exposures to synergistic risk factors. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:445 / 452
页数:8
相关论文
共 34 条
[1]   Statistics notes - The cost of dichotomising continuous variables [J].
Altman, DG ;
Royston, P .
BRITISH MEDICAL JOURNAL, 2006, 332 (7549) :1080-1080
[2]   A review of adjusted estimators of attributable risk [J].
Benichou, J .
STATISTICAL METHODS IN MEDICAL RESEARCH, 2001, 10 (03) :195-216
[3]   Apparent effect on blood pressure is only partly responsible for the risk reduction due to antihypertensive treatments [J].
Boissel, JP ;
Gueyffier, F ;
Boutitie, F ;
Pocock, S ;
Fagard, R .
FUNDAMENTAL & CLINICAL PHARMACOLOGY, 2005, 19 (05) :579-584
[4]   RATIONALE AND DESIGN [J].
BORHANI, NO ;
APPLEGATE, WB ;
CUTLER, JA ;
DAVIS, BR ;
FURBERG, CD ;
LAKATOS, E ;
PAGE, L ;
PERRY, HM ;
SMITH, WM ;
PROBSTFIELD, JL .
HYPERTENSION, 1991, 17 (03) :2-15
[5]   ESTIMATING THE POPULATION ATTRIBUTABLE RISK FOR MULTIPLE RISK-FACTORS USING CASE-CONTROL DATA [J].
BRUZZI, P ;
GREEN, SB ;
BYAR, DP ;
BRINTON, LA ;
SCHAIRER, C .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 1985, 122 (05) :904-913
[6]   Estimating the generalized impact fraction from case-control data [J].
Drescher, K ;
Becher, H .
BIOMETRICS, 1997, 53 (03) :1170-1176
[7]   SEQUENTIAL AND AVERAGE ATTRIBUTABLE FRACTIONS AS AIDS IN THE SELECTION OF PREVENTIVE STRATEGIES [J].
EIDE, GE ;
GEFELLER, O .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1995, 48 (05) :645-655
[8]   Attributable fractions: fundamental concepts and their visualization [J].
Eide, GE ;
Heuch, I .
STATISTICAL METHODS IN MEDICAL RESEARCH, 2001, 10 (03) :159-193
[9]   THE EXTRAPOLATION OF ATTRIBUTABLE RISK TO NEW POPULATIONS [J].
ELLENBERG, JH .
STATISTICS IN MEDICINE, 1988, 7 (06) :717-725
[10]   ISOLATED SYSTOLIC HYPERTENSION AND MORTALITY AFTER AGE 60 YEARS - A PROSPECTIVE POPULATION-BASED STUDY [J].
GARLAND, C ;
BARRETTCONNOR, E ;
SUAREZ, L ;
CRIQUI, MH .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 1983, 118 (03) :365-376