Literature DB >> 23327275

Important considerations in conducting statistical mediation analyses.

Osvaldo F Morera1, Felipe González Castro.   

Abstract

An investigator wishes to examine mediation in a randomized control trial of the effectiveness of an intervention, which consists of a computerized decision aid for promoting colorectal cancer screening. Mediation is a naturally occurring process, and in any given instance, research investigators seek to ascertain whether it has occurred. In the case of a prevention intervention for a specific chain of events, mediation occurs (1) when the prevention intervention effects a change on a targeted intermediate condition: a mediator, for example, a person's intentions to get a colorectal screening examination; and (2) when, at a later point in time, this condition effects a change on a targeted outcome, for example, the actual behavior of getting a colorectal screening exam. Full mediation is said to occur when the effectiveness of the intervention on the targeted outcome only takes place through the intermediate condition and does not directly affect the targeted outcome. Partial mediation is said to occur when the intervention causes changes in both the intermediate condition and the targeted outcome. The assessment of mediation is important because conclusions about the efficacy of a public health intervention may depend on how these indirect influences are assessed.

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Year:  2013        PMID: 23327275      PMCID: PMC3673508          DOI: 10.2105/AJPH.2012.301047

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  7 in total

1.  A comparison of methods to test mediation and other intervening variable effects.

Authors:  David P MacKinnon; Chondra M Lockwood; Jeanne M Hoffman; Stephen G West; Virgil Sheets
Journal:  Psychol Methods       Date:  2002-03

2.  Required sample size to detect the mediated effect.

Authors:  Matthew S Fritz; David P Mackinnon
Journal:  Psychol Sci       Date:  2007-03

3.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models.

Authors:  Kristopher J Preacher; Andrew F Hayes
Journal:  Behav Res Methods       Date:  2008-08

4.  Effect size measures for mediation models: quantitative strategies for communicating indirect effects.

Authors:  Kristopher J Preacher; Ken Kelley
Journal:  Psychol Methods       Date:  2011-06

5.  Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods.

Authors:  David P Mackinnon; Chondra M Lockwood; Jason Williams
Journal:  Multivariate Behav Res       Date:  2004-01-01       Impact factor: 5.923

6.  RMediation: an R package for mediation analysis confidence intervals.

Authors:  Davood Tofighi; David P MacKinnon
Journal:  Behav Res Methods       Date:  2011-09

7.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.

Authors:  R M Baron; D A Kenny
Journal:  J Pers Soc Psychol       Date:  1986-12
  7 in total
  4 in total

1.  Childhood sexual abuse and depression in Latino men who have sex with men: Does resilience protect against nonadherence to antiretroviral therapy?

Authors:  John A Sauceda; John S Wiebe; Jane M Simoni
Journal:  J Health Psychol       Date:  2014-08-25

2.  Racial/Ethnic Disparities in Influenza Vaccination of Chronically Ill US Adults: The Mediating Role of Perceived Discrimination in Health Care.

Authors:  William K Bleser; Patricia Y Miranda; Muriel Jean-Jacques
Journal:  Med Care       Date:  2016-06       Impact factor: 2.983

3.  Mediation effects of a culturally generic substance use prevention program for Asian American adolescents.

Authors:  Lin Fang; Steven P Schinke
Journal:  Asian Am J Psychol       Date:  2014-06-01

4.  The frequency of interleukin-1β-producing monocytes is significantly associated with varicella-zoster responses of nursing home residents.

Authors:  E Picard; D M E Bowdish; J E McElhaney; G Pawelec; M Loeb; C P Verschoor
Journal:  Clin Exp Immunol       Date:  2021-04-04       Impact factor: 5.732

  4 in total

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