Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32827
Title: Environmental exposures and health behavior in association with mental health: a study design
Authors: HAUTEKIET, Pauline 
NAWROT, Tim 
Demarest, Stefaan
Van der Heyden, Johan
Van Overmeire, Ilse
De Clercq, Eva M.
SAENEN, Nelly 
Issue Date: 2020
Publisher: BMC
Source: Archives of public health, 78 (1) (Art N° 105)
Abstract: Background Air pollution, green space and smoking are known to affect human health. However, less is known about their underlying biological mechanisms. One of these mechanisms could be biological aging. In this study, we explore the mediation of biomarkers of exposure and biological aging to explain the associations between environmental exposures, health behavior and mental health. Methods The study population of this cross-sectional study (n = 1168) is a subsample of the Belgian 2018 Health Interview Survey (BHIS). Mental health indicators including psychological and severe psychological distress, life satisfaction, vitality, eating disorders, suicidal ideation, subjective health and depressive and anxiety disorders, demographics and health behavior such as smoking are derived from the BHIS. Urine and blood samples are collected to measure respectively the biomarkers of exposure (urinary black carbon (BC) and (hydroxy)cotinine) and the biomarkers of biological aging (mitochondrial DNA content (mtDNAc) and telomere length (TL)). Recent and chronic exposure (mu g/m(3)) to nitrogen dioxide (NO2), particulate matter <= 2.5 mu m (PM2.5) and <= 10 mu m (PM10) and BC at the participants' residence are modelled using a high resolution spatial temporal interpolation model. Residential green space is defined in buffers of different size (50 m - 5000 m) using land cover data in ArcGIS 10 software. For the statistical analysis multivariate linear and logistic regressions as well as mediation analyses are used taking into account a priori selected covariates and confounders. Results As this study combined data of BHIS and laboratory analyses, not all data is available for all participants. Therefore, data analyses will be conducted on different subsets. Data on air pollution and green space exposure is available for all BHIS participants. Questions on smoking and mental health were answered by respectively 7829 and 7213 BHIS participants. For biomarker assessment, (hydroxy) cotinine, urinary BC and the biomarkers of biological aging are measured for respectively 1130, 1120 and 985 participants. Conclusion By use of personal markers of air pollution and smoking, as well as biological aging, we will gain knowledge about the association between environmental exposures, health behavior, and the mental health status. The results of the study can provide insights on the health of the Belgian population, making it a nationwide interesting study.
Notes: Saenen, ND (corresponding author), Sciensano, Brussels, Belgium.; Saenen, ND (corresponding author), Hasselt Univ, Ctr Environm Sci, Agoralaan Gebouw D, B-3590 Hasselt, Belgium.
nelly.saenen@uhasselt.be
Other: Saenen, ND (corresponding author), Sciensano, Brussels, Belgium. nelly.saenen@uhasselt.be
Keywords: Biomarkers;Air pollution;Green space;Smoking;Mental health;Biological aging;Belgium
Document URI: http://hdl.handle.net/1942/32827
ISSN: 0778-7367
e-ISSN: 2049-3258
DOI: 10.1186/s13690-020-00477-0
ISI #: WOS:000580553600001
Rights: © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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