Differential recall bias, intermediate confounding, and mediation analysis in life course epidemiology: An analytic framework with empirical example.

The mechanisms by which childhood socioeconomic status (CSES) affects adult mental health, general health, and well-being are not clear. Moreover, the analytical assumptions employed when assessing mediation in social and psychiatric epidemiology are rarely explained. The aim of this paper was to ex...

Full description

Bibliographic Details
Main Authors: Mashhood Ahmed Sheikh, Birgit Abelsen, Jan Abel Olsen
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-11-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01828/full
id doaj-159190b83e994b09b1b67da4a2400ab4
record_format Article
spelling doaj-159190b83e994b09b1b67da4a2400ab42020-11-24T23:50:53ZengFrontiers Media S.A.Frontiers in Psychology1664-10782016-11-01710.3389/fpsyg.2016.01828226338Differential recall bias, intermediate confounding, and mediation analysis in life course epidemiology: An analytic framework with empirical example.Mashhood Ahmed Sheikh0Birgit Abelsen1Jan Abel Olsen2University of TromsøUniversity of TromsøUniversity of TromsøThe mechanisms by which childhood socioeconomic status (CSES) affects adult mental health, general health, and well-being are not clear. Moreover, the analytical assumptions employed when assessing mediation in social and psychiatric epidemiology are rarely explained. The aim of this paper was to explain the intermediate confounding assumption, and to quantify differential recall bias in the association between CSES, childhood abuse, and mental health (SCL-10), general health (EQ-5D), and subjective well-being (SWLS). Furthermore, we assessed the mediating role of psychological and physical abuse in the association between CSES and mental health, general health, and well-being; and the influence of differential recall bias in the estimation of total effects, direct effects, and proportion of mediated effects. The assumptions employed when assessing mediation are explained with reference to a causal diagram. Poisson regression models (relative risk, RR and 99% CI) were used to assess the association between CSES and psychological and physical abuse in childhood. Mediation analysis (difference method) was used to assess the indirect effect of CSES (through psychological and physical abuse in childhood) on mental health, general health, and well-being. Psychological abuse and physical abuse mediated the association between CSES and adult mental health, general health, and well-being (6-16% among men and 7-14% among women, p<0.001). The results suggest that up to 27% of the association between CSES and childhood abuse, 23% of the association between childhood abuse, and mental health, general health, and well-being, and 44% of the association between CSES and mental health, general health, and well-being is driven by differential recall bias. Assessing mediation with cross-sectional data (exposure, mediator, and outcome measured at the same time) showed that the total effects and direct effects were vastly overestimated (biased upwards). Consequently, the proportion of mediated effects were underestimated (biased downwards). The findings suggest that associations between childhood adversity and present mental health, general health, and well-being, based on cross-sectional analyses, are overestimated (biased upwards). If there is a true (unobserved) direct or indirect effect, and the direction of the differential recall bias is predictable, then the results of cross-sectional analyses should be discussed in light of that.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01828/fullChild AbuseMemoryMental HealthLongitudinalmoodMediation
collection DOAJ
language English
format Article
sources DOAJ
author Mashhood Ahmed Sheikh
Birgit Abelsen
Jan Abel Olsen
spellingShingle Mashhood Ahmed Sheikh
Birgit Abelsen
Jan Abel Olsen
Differential recall bias, intermediate confounding, and mediation analysis in life course epidemiology: An analytic framework with empirical example.
Frontiers in Psychology
Child Abuse
Memory
Mental Health
Longitudinal
mood
Mediation
author_facet Mashhood Ahmed Sheikh
Birgit Abelsen
Jan Abel Olsen
author_sort Mashhood Ahmed Sheikh
title Differential recall bias, intermediate confounding, and mediation analysis in life course epidemiology: An analytic framework with empirical example.
title_short Differential recall bias, intermediate confounding, and mediation analysis in life course epidemiology: An analytic framework with empirical example.
title_full Differential recall bias, intermediate confounding, and mediation analysis in life course epidemiology: An analytic framework with empirical example.
title_fullStr Differential recall bias, intermediate confounding, and mediation analysis in life course epidemiology: An analytic framework with empirical example.
title_full_unstemmed Differential recall bias, intermediate confounding, and mediation analysis in life course epidemiology: An analytic framework with empirical example.
title_sort differential recall bias, intermediate confounding, and mediation analysis in life course epidemiology: an analytic framework with empirical example.
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2016-11-01
description The mechanisms by which childhood socioeconomic status (CSES) affects adult mental health, general health, and well-being are not clear. Moreover, the analytical assumptions employed when assessing mediation in social and psychiatric epidemiology are rarely explained. The aim of this paper was to explain the intermediate confounding assumption, and to quantify differential recall bias in the association between CSES, childhood abuse, and mental health (SCL-10), general health (EQ-5D), and subjective well-being (SWLS). Furthermore, we assessed the mediating role of psychological and physical abuse in the association between CSES and mental health, general health, and well-being; and the influence of differential recall bias in the estimation of total effects, direct effects, and proportion of mediated effects. The assumptions employed when assessing mediation are explained with reference to a causal diagram. Poisson regression models (relative risk, RR and 99% CI) were used to assess the association between CSES and psychological and physical abuse in childhood. Mediation analysis (difference method) was used to assess the indirect effect of CSES (through psychological and physical abuse in childhood) on mental health, general health, and well-being. Psychological abuse and physical abuse mediated the association between CSES and adult mental health, general health, and well-being (6-16% among men and 7-14% among women, p<0.001). The results suggest that up to 27% of the association between CSES and childhood abuse, 23% of the association between childhood abuse, and mental health, general health, and well-being, and 44% of the association between CSES and mental health, general health, and well-being is driven by differential recall bias. Assessing mediation with cross-sectional data (exposure, mediator, and outcome measured at the same time) showed that the total effects and direct effects were vastly overestimated (biased upwards). Consequently, the proportion of mediated effects were underestimated (biased downwards). The findings suggest that associations between childhood adversity and present mental health, general health, and well-being, based on cross-sectional analyses, are overestimated (biased upwards). If there is a true (unobserved) direct or indirect effect, and the direction of the differential recall bias is predictable, then the results of cross-sectional analyses should be discussed in light of that.
topic Child Abuse
Memory
Mental Health
Longitudinal
mood
Mediation
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01828/full
work_keys_str_mv AT mashhoodahmedsheikh differentialrecallbiasintermediateconfoundingandmediationanalysisinlifecourseepidemiologyananalyticframeworkwithempiricalexample
AT birgitabelsen differentialrecallbiasintermediateconfoundingandmediationanalysisinlifecourseepidemiologyananalyticframeworkwithempiricalexample
AT janabelolsen differentialrecallbiasintermediateconfoundingandmediationanalysisinlifecourseepidemiologyananalyticframeworkwithempiricalexample
_version_ 1725478490753466368