Exposure misclassification due to residential mobility during pregnancy

Hodgson, Susan; Lurz, Peter W. W.; Shirley, Mark; Bythell, Mary; Rankin, Judith

doi:10.1016/j.ijheh.2015.03.007

Cited by 44 publications

(22 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This limitation is addressable in future pregnancy cohort studies by retrospective assessment of residential histories at recruitment. In some settings, residential histories can be more objectively ascertained via linkage to national health surveillance systems 26 . However, these systems tend to record residential location at the time of health service contact, not the time of the move.…”

Section: Discussionmentioning

confidence: 99%

“…In a New York cohort, whole pregnancy exposure to particulate matter with aerodynamic diameter ≤10 μm (PM 10 ) was essentially unchanged when based on residence recorded by maternal interviews (20.11 μg.m −3 ) compared to that based on the residential location recorded at delivery (20.09 μg.m −3 ) 5 . In a UK cohort, annual PM 10 derived using the residential location at delivery was highly correlated with that derived using residential locations throughout pregnancy (Pearson r=0.88) 10 . In contrast, in another study, estimated PM 10 exposure based on address at delivery compared to complete residential history differed by more than one standard deviation in 16% of pregnancies 10 .…”

Section: Introductionmentioning

confidence: 95%

“…In a UK cohort, annual PM 10 derived using the residential location at delivery was highly correlated with that derived using residential locations throughout pregnancy (Pearson r=0.88) 10 . In contrast, in another study, estimated PM 10 exposure based on address at delivery compared to complete residential history differed by more than one standard deviation in 16% of pregnancies 10 . Consequently, it remains unclear as to whether final effect estimates on preterm birth and fetal growth restriction are biased by ignoring residential mobility in the derivation of PM 10 exposure 5, 11–15 .…”

Section: Introductionmentioning

confidence: 95%

See 2 more Smart Citations

Particulate air pollution, fetal growth and gestational length: The influence of residential mobility in pregnancy

Pereira

Bracken

Bell

2016

Environmental Research

View full text Add to dashboard Cite

Background It remains unclear as to whether neglecting residential mobility during pregnancy introduces bias in studies investigating air pollution and adverse perinatal outcomes, as most studies assess exposure based on residence at birth. The aim of this study was to ascertain whether such bias can be observed in a study on the effects of PM10 on risk of preterm birth and fetal growth restriction. Methods This was a retrospective study using four pregnancy cohorts of women recruited in Connecticut, USA (N=10,025). We ascertained associations with PM10 exposure calculated using first recorded maternal address, last recorded address, and full address histories. We used a discrete time-to-event model for preterm birth, and logistic regression to investigate associations with small for gestational age (SGA) and term low birth weight (LBW). Results Pregnant women tended to move to areas with lower levels of PM10. For all outcomes, there was negligible difference between effect sizes corresponding to exposures calculated with first, last and full address histories. For LBW, associations were observed for exposure in second trimester (OR 1.09; 95% CI: 1.04 – 1.14 per 1μg/m3 PM10) and whole pregnancy (OR 1.08; 95% CI: 1.02 – 1.14). For SGA, associations were observed for elevated exposure in second trimester (OR 1.02; 95% CI: 1.00 – 1.04) and whole pregnancy (OR 1.03; 95% CI: 1.01 – 1.05). There was insufficient evidence for association with preterm birth. Conclusion PM10 was associated with both SGA and term LBW. However, there was negligible benefit in accounting for residential mobility in pregnancy in this study.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 95%

See 1 more Smart Citation

Particulate air pollution, fetal growth and gestational length: The influence of residential mobility in pregnancy

Pereira

Bracken

Bell

2016

Environmental Research

View full text Add to dashboard Cite

show abstract

“…Previous studies examining residential mobility found relatively high agreement between prenatal air pollution exposure estimates calculated using this method and estimates using complete residential history data. 1, 3, 13 One of these studies found little impact of not accounting for this mobility on effect estimates. 1 However, the geographic resolution of assigned air pollution exposure in these studies varied substantially, ranging from 1 to 19,968 square kilometers (km), and the spatial resolution of pollutant concentrations is a major determinant of the impact of residential mobility on assigned exposure.…”

Section: Introductionmentioning

confidence: 99%

Measurement error in mobile source air pollution exposure estimates due to residential mobility during pregnancy

Pennington

Strickland

Klein

et al. 2016

J Expo Sci Environ Epidemiol

View full text Add to dashboard Cite

Prenatal air pollution exposure is frequently estimated using maternal residential location at the time of delivery as a proxy for residence during pregnancy. We describe residential mobility during pregnancy among 19,951 children from the Kaiser Air Pollution and Pediatric Asthma Study, quantify measurement error in spatially-resolved estimates of prenatal exposure to mobile source fine particulate matter (PM2.5) due to ignoring this mobility, and simulate the impact of this error on estimates of epidemiologic associations. Two exposure estimates were compared, one calculated using complete residential histories during pregnancy (weighted average based on time spent at each address) and the second calculated using only residence at birth. Estimates were computed using annual averages of primary PM2.5 from traffic emissions modeled using a research line-source dispersion model (RLINE) at 250 meter resolution. In this cohort, 18.6% of children were born to mothers who moved at least once during pregnancy. Mobile source PM2.5 exposure estimates calculated using complete residential histories during pregnancy and only residence at birth were highly correlated (rS>0.9). Simulations indicated that ignoring residential mobility resulted in modest bias of epidemiologic associations toward the null, but varied by maternal characteristics and prenatal exposure windows of interest (ranging from −2% to −10% bias).

show abstract

“…However, such measures lack information regarding cumulative environmental exposures at the individual level. Thus, reliance on these measures as proxy for cumulative environmental exposure can result in exposure misclassification [1–3]. …”

Section: Introductionmentioning

confidence: 99%

The utility of EMR address histories for assessing neighborhood exposures

Hughes

Pruitt

2017

Annals of Epidemiology

View full text Add to dashboard Cite

Purpose Electronic medical records (EMR) include residential address histories, which may alleviate exposure misclassification caused by exclusion of patient spatiotemporal location. EMR data are increasingly available but rarely leveraged as a measure of cumulative environmental exposure, in part due to limited understanding of the validity of EMR-derived address histories. Methods We compared EMR address histories to self-reported histories among 100 patients of a safety-net healthcare system completing a telephone survey. We assessed agreement and compared 7 neighborhood-level environmental exposures as assessed using both data sources. Results While 17.1% of respondents did not live at the most recent EMR-derived address during the survey, nearly all (98%) lived there at some point. For respondents with >1 EMR-derived address (N=64), 87.5% had once lived at the previous EMR address. Of these, 30.4% lived at ≥1 additional residences between the two most recent EMR address. For all measures, neighborhood-level environmental exposures did not differ when using EMR-derived vs. self-report addresses. Conclusions More recent EMR-derived addresses are more accurate and differences compared to self-reported addresses in neighborhood-level exposures are negligible. EMR-derived address histories are incomplete and likely suffer from collection bias; future research should further assess their validity and reliability.

show abstract

Exposure misclassification due to residential mobility during pregnancy

Abstract: To meaningfully explore the subtle associations between environmental exposures and health, consideration must be given to error introduced by residential mobility.

Cited by 44 publications

References 26 publications

Particulate air pollution, fetal growth and gestational length: The influence of residential mobility in pregnancy

Particulate air pollution, fetal growth and gestational length: The influence of residential mobility in pregnancy

Measurement error in mobile source air pollution exposure estimates due to residential mobility during pregnancy

The utility of EMR address histories for assessing neighborhood exposures

Contact Info

Product

Resources

About