Exposure to placental microplastic and placental and umbilical cord blood telomere length by Shuo Zhang, Huiyue Chen, Long Li, Zhipeng Li, Dan Wang

“…Microplastic concentrations in placental samples were quantified using LD-IR chemical imaging, while TL in umbilical cord blood and placental tissues was measured using qRT-PCR. Adjusted multivariable regression models, stratified analysis, and mixture analyses, including Bayesian Kernel Machine Regression (BKMR) and quantile g-computation, were employed to assess associations and interactions. …”
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Serum level of dioxin-like polychlorinated biphenyls and blood pressure in primary school children by Chuangang Cheng, Xiang Li, Baogang Wu, Bingnan Liu, Li Li, Yang Yu

“…Statistical analysis included multivariable linear regression, stratified by sex, and mixture analysis using Bayesian Kernel Machine Regression (BKMR), generalized quantile g-computation (g-comp), and generalized weighted quantile sum regression (gWQS). …”
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Exposure to microplastics during pregnancy and fetal liver function by Chuanzhuo Wang, Hua Chang, Huan Wang, Hui Li, Silu Ding, Fang Ren

“…Associations were assessed via multivariable regression models adjusting for maternal and socioeconomic confounders. …”
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Water source, latrine type, and rainfall are associated with detection of non-optimal and enteric bacteria in the vaginal microbiome: a prospective observational cohort study neste... by Anna E Czapar, Souvik Paul, Garazi Zulaika, Fredrick Otieno, Walter Agingu, Adit Chaudhary, Runa Bhaumik, Anna Maria van Eijk, Stefan J Green, Elizabeth Nyothach, Penelope A Phillips-Howard, Supriya D. Mehta

“…We analyzed how self-reported water source and latrine type at home related to VMB over 18-months, examining community state type I (CST-I, L. crispatus dominant) vs. other CST; alpha diversity; targeted taxa (coliform and other water-related pathogens); and non-targeted taxa via machine learning approaches. Mixed effects multivariable longitudinal models were adjusted for intervention arm, age, socioeconomic status, sexual activity, and cluster-level school WASH and rainfall (in millimeters). …”
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Trace elements and risk of diabetes-related vascular complications: results from the EPIC-Potsdam cohort study by Barbaros Eroglu, Fabian Eichelmann, Olga Kuxhausf, Anna P. Kipp, Tanja Schwerdtle, Hajo Haase, Lutz Schomburg, Matthias B. Schulze

“…To investigate the interactions and nonlinear associations between TEs and risk of diabetes-related complications, we applied Bayesian kernel machine regression (BKMR). Results In multivariable models, higher iodine levels were associated with higher risk of developing total vascular complications (HR per SD, 95% CI: 1.16, 1.02–1.31) and microvascular complications (1.18, 1.03–1.35). …”
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Blood essential trace elements and Alzheimer’s disease biomarkers in midlife by Xin Wang, Kelly M. Bakulski, Kelly M. Bakulski, Carrie A. Karvonen-Gutierrez, Sung Kyun Park, Sung Kyun Park, David Morgan, Brian P. Jackson, Roger L. Albin, Roger L. Albin, Roger L. Albin, Henry L. Paulson, Henry L. Paulson

“…Serum levels of trace elements were measured using inductively coupled plasma-mass spectrometry, and AD biomarkers were quantified using single molecule array assays. Multivariable linear regression models assessed potential associations and Bayesian kernel machine regression (BKMR) was used to account for complex co-exposures and non-linear relationships.ResultsIn the multivariable linear regression models, a doubling of serum molybdenum level was associated with 9.4% higher Aβ42/40 ratio (95% CI: 0.8, 18.6%; p = 0.03), and a doubling of serum cobalt level with 17.5% higher p-tau181 level (95% CI: 3.1, 33.8%; p = 0.02). …”
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Preoperative submaximal cardiopulmonary exercise testing and its association with early postoperative complications by Zyad J. Carr, Jean Charchaflieh, Andres Brenes-Bastos, Hugo He, Hung-Mo Lin, Amanda Jankelovits, Emily Gu, Jill Zafar, Fed Ghali, Wei S. Tan, Paul Heerdt

“…Adjusted multivariable regression models were used to identify significance. …”
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Association between parental exposure to metal mixture and preterm birth: A prospective birth cohort study by Bo Yang, Yiyuan Chen, Haowen Zhang, Yuxin Liu, Cong Liu, Hong Lv, Tao Jiang, Rui Qin, Shiyao Tao, Xin Xu, Yuanyan Dou, Kang Ke, Tianyu Sun, Yue Jiang, Bo Xu, Kun Zhou, Jiaping Chen, Guangfu Jin, Hongxia Ma, Hongbing Shen, Yuan Lin, Jiangbo Du, Zhibin Hu

“…These findings suggested that higher concentrations of Cu and Sb are associated with an increased risk of preterm birth. The Bayesian Kernel Machine Regression (BKMR) models revealed a positive joint effect on preterm birth that intensified across increasing quantiles of parental mixture concentrations. …”
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Association of gambling activities and modalities with problem gambling in Japan: A nationwide cross-sectional online survey-based study by Takashi Yoshioka, Ryuhei So, Tatsuya Noda, Moritoshi Kido, Chieko Ito, Tomoki Nakaya, Satoshi Funada, Shiori Tsutsumi, Takahiro Tabuchi

“…To estimate the association between gambling engagement and the prevalence of PG, multivariable logistic regression models were fitted after adjusting for 13 confounding factors representing demographic, socioeconomic, health-related, and geographic characteristics. …”
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Comparing methods for glomerular filtration rate estimation by Xiaoqian Zhu, Tariq Shafi, Keith C. Norris, Jeannette Simino, Srishti Shrestha, Thomas H. Mosley, Michael E. Griswold, Seth T. Lirette

“…Few studies have evaluated whether advanced modeling techniques enhance their performance. Methods: Using multivariable fractional polynomials (MFP), generalized additive models (GAM), random forests (RF), and gradient boosted machines (GBM), we developed four SCr-based GFR-estimating equations in a pooled data set from four cohorts (n = 4665). …”
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