Literature DB >> 11700252

Simulation study of the effect of the early mortality exclusion on confounding of the exposure-mortality relation by preexisting disease.

P N Singh1, X Wang.   

Abstract

The authors conducted a simulation study to evaluate whether exclusion of the early mortality (deaths occurring during a prespecified period immediately after baseline) reduces confounding of the exposure-mortality relation by preexisting disease. The simulation specified an exposure that decreased mortality risk in the absence of confounding and then introduced confounding by preexisting disease that biased the "true" protective effect of exposure towards greater risk. In 2,000 cohorts, exclusion of the early mortality (deaths occurring during the first 25 months of a 60-month follow-up period) did not alter the mean hazard ratio for exposure under conditions of confounding by preexisting disease that produced a constant, threefold increase in mortality risk during follow-up (the mean hazard ratio was 1.72 for all subjects and 1.72 after exclusion of the early mortality). However, when the authors specified confounding by preexisting disease which produced a threefold increase in mortality risk that attenuated over time, exclusion of the early mortality consistently identified the "true" protective effect of exposure (the mean hazard ratio was 1.07 for all subjects and 0.31 after exclusion of the early mortality). Thus, under conditions of confounding by preexisting disease which produces an increase in mortality risk that attenuates over time--an effect that does have empirical support-the early mortality exclusion can be very effective in revealing the "true" exposure-mortality relation.

Mesh:

Year:  2001        PMID: 11700252     DOI: 10.1093/aje/154.10.963

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  12 in total

1.  Association of body mass index and weight change with all-cause mortality in the elderly.

Authors:  María M Corrada; Claudia H Kawas; Farah Mozaffar; Annlia Paganini-Hill
Journal:  Am J Epidemiol       Date:  2006-04-26       Impact factor: 4.897

2.  Defining cutoffs to diagnose obesity using the relative fat mass (RFM): Association with mortality in NHANES 1999-2014.

Authors:  Orison O Woolcott; Richard N Bergman
Journal:  Int J Obes (Lond)       Date:  2020-01-07       Impact factor: 5.095

3.  Dysmobility syndrome and mortality risk in US men and women age 50 years and older.

Authors:  A C Looker
Journal:  Osteoporos Int       Date:  2014-10-09       Impact factor: 4.507

4.  Obesity and life expectancy among long-lived Black adults.

Authors:  Pramil N Singh; Ralph W Clark; Patti Herring; Joan Sabaté; David Shavlik; Gary E Fraser
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-05-16       Impact factor: 6.053

5.  Associations of Daily Steps and Step Intensity With Incident Diabetes in a Prospective Cohort Study of Older Women: The OPACH Study.

Authors:  Alexis C Garduno; Andrea Z LaCroix; Michael J LaMonte; David W Dunstan; Kelly R Evenson; Guangxing Wang; Chongzhi Di; Benjamin T Schumacher; John Bellettiere
Journal:  Diabetes Care       Date:  2022-02-01       Impact factor: 17.152

6.  Estimating the Effects of Obesity and Weight Change on Mortality Using a Dynamic Causal Model.

Authors:  Bochen Cao
Journal:  PLoS One       Date:  2015-06-25       Impact factor: 3.240

Review 7.  Flawed methods and inappropriate conclusions for health policy on overweight and obesity: the Global BMI Mortality Collaboration meta-analysis.

Authors:  Katherine M Flegal; John P A Ioannidis; Wolfram Doehner
Journal:  J Cachexia Sarcopenia Muscle       Date:  2019-01-17       Impact factor: 12.910

8.  Accelerometer-measured physical activity and sedentary time in a cohort of US adults followed for up to 13 years: the influence of removing early follow-up on associations with mortality.

Authors:  Jakob Tarp; Bjørge Herman Hansen; Morten Wang Fagerland; Jostein Steene-Johannessen; Sigmund Alfred Anderssen; Ulf Ekelund
Journal:  Int J Behav Nutr Phys Act       Date:  2020-03-14       Impact factor: 6.457

9.  Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents.

Authors:  Emanuele Di Angelantonio; Shilpa Bhupathiraju; David Wormser; Pei Gao; Stephen Kaptoge; Amy Berrington de Gonzalez; Benjamin Cairns; Rachel Huxley; Chandra Jackson; Grace Joshy; Sarah Lewington; JoAnn Manson; Neil Murphy; Alpa Patel; Jonathan Samet; Mark Woodward; Wei Zheng; Maigen Zhou; Narinder Bansal; Aurelio Barricarte; Brian Carter; James Cerhan; George Smith; Xianghua Fang; Oscar Franco; Jane Green; Jim Halsey; Janet Hildebrand; Keum Jung; Rosemary Korda; Dale McLerran; Steven Moore; Linda O'Keeffe; Ellie Paige; Anna Ramond; Gillian Reeves; Betsy Rolland; Carlotta Sacerdote; Naveed Sattar; Eleni Sofianopoulou; June Stevens; Michael Thun; Hirotsugu Ueshima; Ling Yang; Young Yun; Peter Willeit; Emily Banks; Valerie Beral; Zhengming Chen; Susan Gapstur; Marc Gunter; Patricia Hartge; Sun Jee; Tai-Hing Lam; Richard Peto; John Potter; Walter Willett; Simon Thompson; John Danesh; Frank Hu
Journal:  Lancet       Date:  2016-07-13       Impact factor: 79.321

10.  Psychological Distress and All-Cause, Cardiovascular Disease, Cancer Mortality Among Adults with and without Diabetes.

Authors:  Wentao Huang; Dagfinn Aune; Gerson Ferrari; Lei Zhang; Yutao Lan; Jing Nie; Xiong Chen; Dali Xu; Yafeng Wang; Leandro F M Rezende
Journal:  Clin Epidemiol       Date:  2021-07-13       Impact factor: 4.790

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.