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Day DB, LeWinn KZ, Karr CJ, Loftus CT, Carroll KN, Bush NR, Zhao Q, Barrett ES, Swan SH, Nguyen RHN, Trasande L, Moore PE, Adams Ako A, Ji N, Liu C, Szpiro AA, Sathyanarayana S. Subpopulations of children with multiple chronic health outcomes in relation to chemical exposures in the ECHO-PATHWAYS consortium. Environ Int 2024; 185:108486. [PMID: 38367551 PMCID: PMC10961192 DOI: 10.1016/j.envint.2024.108486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 02/01/2024] [Accepted: 02/05/2024] [Indexed: 02/19/2024]
Abstract
A multimorbidity-focused approach may reflect common etiologic mechanisms and lead to better targeting of etiologic agents for broadly impactful public health interventions. Our aim was to identify clusters of chronic obesity-related, neurodevelopmental, and respiratory outcomes in children, and to examine associations between cluster membership and widely prevalent chemical exposures to demonstrate our epidemiologic approach. Early to middle childhood outcome data collected 2011-2022 for 1092 children were harmonized across the ECHO-PATHWAYS consortium of 3 prospective pregnancy cohorts in six U.S. cities. 15 outcomes included age 4-9 BMI, cognitive and behavioral assessment scores, speech problems, and learning disabilities, asthma, wheeze, and rhinitis. To form generalizable clusters across study sites, we performed k-means clustering on scaled residuals of each variable regressed on study site. Outcomes and demographic variables were summarized between resulting clusters. Logistic weighted quantile sum regressions with permutation test p-values associated odds of cluster membership with a mixture of 15 prenatal urinary phthalate metabolites in full-sample and sex-stratified models. Three clusters emerged, including a healthier Cluster 1 (n = 734) with low morbidity across outcomes; Cluster 2 (n = 192) with low IQ and higher levels of all outcomes, especially 0.4-1.8-standard deviation higher mean neurobehavioral outcomes; and Cluster 3 (n = 179) with the highest asthma (92 %), wheeze (53 %), and rhinitis (57 %) frequencies. We observed a significant positive, male-specific stratified association (odds ratio = 1.6; p = 0.01) between a phthalate mixture with high weights for MEP and MHPP and odds of membership in Cluster 3 versus Cluster 1. These results identified subpopulations of children with co-occurring elevated levels of BMI, neurodevelopmental, and respiratory outcomes that may reflect shared etiologic pathways. The observed association between phthalates and respiratory outcome cluster membership could inform policy efforts towards children with respiratory disease. Similar cluster-based epidemiology may identify environmental factors that impact multi-outcome prevalence and efficiently direct public policy efforts.
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Affiliation(s)
- Drew B Day
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, 1920 Terry Avenue, Seattle, Washington 98101, USA.
| | - Kaja Z LeWinn
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, 675 18th Street, San Francisco, CA 94143, USA
| | - Catherine J Karr
- Department of Environmental and Occupational Health, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA; Department of Epidemiology, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA; Department of Pediatrics, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA
| | - Christine T Loftus
- Department of Environmental and Occupational Health, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA
| | - Kecia N Carroll
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, 675 18th Street, San Francisco, CA 94143, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Qi Zhao
- Department of Preventive Medicine, Division of Preventive Medicine, University of Tennessee Health Science Center, 66 North Pauline Street, Memphis, TN 38163, USA
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, 683 Hoes Lane West, Piscataway, NJ 08854, USA; Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ 08854, USA
| | - Shanna H Swan
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Ruby H N Nguyen
- Department of Epidemiology and Community Health, University of Minnesota, 420 Delaware Street Southeast, Minneapolis, Minnesota 55455, USA
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, 550 First Avenue, New York, NY 10016, USA
| | - Paul E Moore
- Division of Allergy, Immunology, and Pulmonary Medicine, Department of Pediatrics, Vanderbilt University Medical Center, 2200 Children's Way, Nashville, TN 37232, USA
| | - Ako Adams Ako
- Department of Pediatrics, Children's Hospital at Montefiore, 3415 Bainbridge Avenue, Bronx, NY 10467, USA
| | - Nan Ji
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Chang Liu
- Department of Psychology, Washington State University, Johnson Tower, Pullman, WA 99164, USA
| | - Adam A Szpiro
- Department of Biostatistics, University of Washington, 3980 15th Avenue NE, Seattle, WA 98195, USA
| | - Sheela Sathyanarayana
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, 1920 Terry Avenue, Seattle, Washington 98101, USA; Department of Environmental and Occupational Health, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA; Department of Epidemiology, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA; Department of Pediatrics, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA
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Ako AA, Michael YL, Robinson LF, Wactawski-Wende J, Shadyab AH, Garcia L, Nriagu BN, Saquib N, Nassir R, Liu S, Wallace RB. Gallbladder Disease and Risk of Type 2 Diabetes in Postmenopausal Women: A Women's Health Initiative Study. Am J Epidemiol 2022; 191:1374-1382. [PMID: 35434732 PMCID: PMC9989352 DOI: 10.1093/aje/kwac074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 03/17/2022] [Accepted: 04/12/2022] [Indexed: 01/28/2023] Open
Abstract
Studies have suggested that adults with gallbladder disease have increased risk of type 2 diabetes. This prospective cohort study assessed the risk of type 2 diabetes in postmenopausal women with gallbladder disease. Data from women enrolled in the Women's Health Initiative from 1993 to 2005, aged 50-79 years (mean = 63.2; standard deviation, 7.2), were analyzed. Cox proportional hazards regression models were used to estimate the risk of type 2 diabetes associated with gallbladder disease. There were 8,896 new cases of type 2 diabetes after 1,025,486 person-years of follow-up. Gallbladder disease was significantly associated with type 2 diabetes (hazard ratio = 1.52; 95% confidence interval (CI): 1.38,1.67). The observed risk of type 2 diabetes in women with both gallbladder disease and central obesity was 37% higher than expected (relative excess risk due to interaction = 0.37, 95% CI: 0.11,0.63) on the additive scale. The hazard ratios for type 2 diabetes associated with gallbladder disease were 1.25 (95% CI: 1.19,1.32) and 1.48 (95% CI: 1.34,1.63) in women with and without central obesity, respectively, on the multiplicative scale. Results of this study support further studies to determine whether interventions in older women with gallbladder disease would reduce type 2 diabetes risk, especially among those with central obesity. Future research should examine the pathophysiological basis of the association between gallbladder disease and type 2 diabetes.
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Affiliation(s)
- Ako Adams Ako
- Correspondence to Dr. Ako Adams Ako, Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104 (e-mail: )
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