Birth weight and perfluorooctane sulfonic acid: a random-effects meta-regression analysis

被引:20
|
作者
Dzierlenga, Michael W. [1 ]
Crawford, Lori [1 ]
Longnecker, Matthew P. [1 ]
机构
[1] Ramboll, Environm & Hlth, Raleigh, NC 27612 USA
关键词
Birth weight; Perfluorooctane sulfonic acid; Random effects; Meta-regression; Metaanalysis; PERFLUOROALKYL SUBSTANCES; CORD SERUM; PERFLUORINATED COMPOUNDS; PRENATAL EXPOSURE; FETAL-GROWTH; MATERNAL CONCENTRATIONS; POSTNATAL-GROWTH; NORWEGIAN MOTHER; BLOOD; PFOA;
D O I
10.1097/EE9.0000000000000095
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Perfluorooctane sulfonic acid (PFOS) is a ubiquitous environmental contaminant. Most people in developed countries have detectable serum concentrations. Lower birth weight has been associated with serum PFOS in studies world-wide, many of which have been published only recently. Methods: To facilitate a causal assessment of the birth weight and PFOS association, we updated previous meta-analyses of the association and employed a method that facilitated inclusion of all available data in one analysis. Our analysis was based on observations from 29 studies. Results: The random effects summary was -3.22g/ng/ml (95% confidence interval [CI] = -5.11, -1.33). In a subgroup analysis stratified by when in pregnancy the PFOS concentration was measured, the summary for the early group was -1.35 (95% CI = -2.33, -0.37) and for the later group was -7.17 (95% CI = -10.93, -3.41). In a meta-regression model including a term for timing of blood draw, the intercept was slightly positive but essentially zero (0.59g/ng/ml, 95% CI = -1.94, 3.11). In other words, the model indicated that when blood was drawn at the very beginning of pregnancy, there was essentially no relation of birth weight to PFOS. The results from the subgroup analyses differed from those from the model because the average gestational age at blood draw in the early group was 14 weeks, when bias would still be expected. A stronger inverse association in Asian studies was not completely explained by their blood draws being from later in pregnancy. Conclusions: The evidence was weakly or not supportive of a causal association.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Median bias reduction in random-effects meta-analysis and meta-regression
    Kyriakou, Sophia
    Kosmidis, Ioannis
    Sartori, Nicola
    [J]. STATISTICAL METHODS IN MEDICAL RESEARCH, 2019, 28 (06) : 1622 - 1636
  • [2] Multivariate random-effects meta-regression: Updates to mvmeta
    White, Ian R.
    [J]. STATA JOURNAL, 2011, 11 (02): : 255 - 270
  • [3] MetaDiff: differential isoform expression analysis using random-effects meta-regression
    Cheng Jia
    Weihua Guan
    Amy Yang
    Rui Xiao
    W. H. Wilson Tang
    Christine S. Moravec
    Kenneth B. Margulies
    Thomas P. Cappola
    Chun Li
    Mingyao Li
    [J]. BMC Bioinformatics, 16
  • [4] Fixed-effect versus random-effects model in meta-regression analysis
    Spineli, Loukia M.
    Pandis, Nikolaos
    [J]. AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 2020, 158 (05) : 770 - 772
  • [5] MetaDiff: differential isoform expression analysis using random-effects meta-regression
    Jia, Cheng
    Guan, Weihua
    Yang, Amy
    Xiao, Rui
    Tang, W. H. Wilson
    Moravec, Christine S.
    Margulies, Kenneth B.
    Cappola, Thomas P.
    Li, Mingyao
    Li, Chun
    [J]. BMC BIOINFORMATICS, 2015, 16
  • [6] On Estimating Residual Heterogeneity in Random-Effects Meta-Regression: A Comparative Study
    Panityakul, Thammarat
    Bumrungsup, Chinnaphong
    Knapp, Guido
    [J]. JOURNAL OF STATISTICAL THEORY AND APPLICATIONS, 2013, 12 (03): : 253 - 265
  • [7] Using the bayesmeta R package for Bayesian random-effects meta-regression
    Roever, Christian
    Friede, Tim
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2023, 229
  • [8] On Estimating Residual Heterogeneity in Random-Effects Meta-Regression: A Comparative Study
    Thammarat Panityakul
    Chinnaphong Bumrungsup
    Guido Knapp
    [J]. Journal of Statistical Theory and Applications, 2013, 12 (3): : 253 - 265
  • [9] On random-effects meta-analysis
    Zeng, D.
    Lin, D. Y.
    [J]. BIOMETRIKA, 2015, 102 (02) : 281 - 294
  • [10] metaan: Random-effects meta-analysis
    Kontopantelis, Evangelos
    Reeves, David
    [J]. STATA JOURNAL, 2010, 10 (03): : 395 - 407