Background: Previous studies on occupational exposures in parents and cancer risks in their children support a link between solvents and paints with childhood leukaemia. Few studies have focused specifically on benzene.
Objectives: To examine whether parental occupational exposure to benzene is associated with an increased cancer risk in a census-based cohort of children.
Methods: From a census-based cohort study in Switzerland, we included children aged <16years at national censuses (1990, 2000). We retrieved parental occupations reported at census and assessed exposure to benzene using a job exposure matrix. We identified incident cancer cases through record linkage with the Swiss Childhood Cancer Registry. We fitted Cox proportional-hazards models to assess associations between exposures and the following outcomes: any cancer, leukaemia, acute lymphoid leukaemia (ALL), acute myeloid leukaemia (AML), lymphoma, non-Hodgkin lymphoma, central nervous system (CNS) tumours, and glioma. We adjusted models for a range of socio-economic, perinatal and environmental factors.
Results: Analyses of maternal (paternal) exposure were based on 9.0 (13.2)millionperson years at risk and included 1004 (1520) cases of cancer, of which 285 (438) had leukaemia, 186 (281) lymphoma, 227 (339) a CNS tumour. Maternal exposure was associated with an increased risk of childhood leukaemia (hazard ratio 1.73, 95% CI 1.12-2.67) and ALL (1.88, 1.16-3.04). We found little evidence of an association for other outcomes or for paternal exposure. Adjusting for potential confounders did not materially affect the results.
Conclusions: This nationwide cohort study suggests an increased risk of leukaemia among children whose mothers were exposed to benzene at work.
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http://dx.doi.org/10.1016/j.envint.2017.07.022 | DOI Listing |
J Arthroplasty
October 2024
Rubin Institute of Advanced Orthopedics, Center for Joint Preservation and Replacement, Sinai Hospital of Baltimore, Baltimore, Maryland.
Background: The Area Deprivation Index (ADI) is a weighted index comprised of 17 census-based markers of material deprivation and poverty. The purpose of this study was to determine whether patients undergoing total hip arthroplasty (THA) in areas of high ADI (greater disadvantage) were associated with differences in 90 days: 1) medical complications; 2) emergency department (ED) utilizations; and 3) readmissions.
Methods: A nationwide database was queried for primary THA patients from 2010 to 2020.
Fertil Steril
October 2024
Fertility Clinic, Boston IVF, Waltham, Massachusetts; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts.
Objective: To examine the association between sociodemographic factors and utilization of infertility services by race and ethnicity in a state with a comprehensive infertility mandate.
Design: Retrospective cohort.
Setting: Academic-affiliated fertility center.
Forensic Sci Int Genet
January 2025
Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit - Unipex, School of Medicine, São Paulo State University - UNESP, Botucatu, São Paulo, Brazil; São Paulo State University (UNESP), Department of Pathology, School of Medicine, Botucatu, São Paulo, Brazil. Electronic address:
Insertion/deletion polymorphisms, or InDels, are widely present in the human genome. They have been considered as potential markers for forensic analysis because they can be genotyped using the CE platform and compatible typing techniques used in forensic laboratories. Additionally, InDels have lower mutation rates and often short amplicon sizes, making them ideal for detecting degraded samples.
View Article and Find Full Text PDFInt J Cancer
October 2024
Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
J Head Trauma Rehabil
August 2024
Author Affiliations: Department of Rehabilitation and Human Performance (Drs Kumar and Dams-O'Connor), Department of Population Health Science & Policy (Dr Delgado), Department of Emergency Medicine (Dr Taylor), Department of Neurology (Dr Dams-O'Connor), Icahn School of Medicine at Mount Sinai, New York, New York; Department of Physical Medicine and Rehabilitation (Drs Corrigan and Bogner), College of Medicine, The Ohio State University; Research Department, Craig Hospital, Englewood, Colorado(Drs Eagye and Whiteneck); Brain Injury Research Center, TIRR Memorial Hermann (Dr Juengst), Houston, Texas; Department of Physical Medicine and Rehabilitation (Dr Juengst), UT Health Sciences Center at Houston, Houston, Texas; Baylor Scott and White Institute for Rehabilitation (Dr Callender), Dallas, Texas; Department of Physical Medicine and Rehabilitation (Dr Pinto), University of Texas Southwestern Medical Center, Dallas, Texas; Moss Rehabilitation Research Institute (Drs Rabinowitz and Venkatesan), Elkins Park, Pennsylvania; Department of Rehabilitation Medicine (Drs Rabinowitz and Venkatesan), Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania; Central Virginia Veterans Affairs Health Care System (Dr Perrin), Richmond, Virginia; School of Data Science and Department of Psychology (Dr Perrin), University of Virginia, Charlottesville, Virginia; Kessler Foundation (Drs Botticello and Lequerica), East Hanover, New Jersey; Rutgers-New Jersey Medical School (Drs Botticello and Lequerica), Newark, New Jersey; Department of Physical Medicine and Rehabilitation (Dr Zafonte), Harvard Medical School, Boston, Massachusetts; Spaulding Rehabilitation Hospital (Dr Zafonte), Boston, Massachusetts; Massachusetts General Hospital (Dr Zafonte), Boston, Massachusetts; Brigham and Women's Hospital (Dr Zafonte), Boston, Massachusetts.
Objective: To create a census-based composite neighborhood socioeconomic deprivation index (NSDI) from geocoded residential addresses and to quantify how NSDI aligns with individual-level socioeconomic factors among people with traumatic brain injury (TBI).
Setting: Community.
Participants: People enrolled in the TBI Model Systems National Database (TBIMS NDB).
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