1
|
Bartoskova Polcrova A, Dalecka A, Szabo D, Gonzalez Rivas JP, Bobak M, Pikhart H. Social and environmental stressors of cardiometabolic health. Sci Rep 2024; 14:14179. [PMID: 38898083 PMCID: PMC11187061 DOI: 10.1038/s41598-024-64847-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 06/13/2024] [Indexed: 06/21/2024] Open
Abstract
Exposures to social and environmental stressors arise individual behavioural response and thus indirectly affect cardiometabolic health. The aim of this study was to investigate several social and environmental stressors and the paths of their influence on cardiometabolic health. The data of 2154 participants (aged 25-64 years) from the cross-sectional population-based study were analysed. The composite score of metabolic disorders (MS score) was calculated based on 5 biomarkers: waist circumference, blood pressure, fasting blood glucose, HDL-cholesterol, triglycerides. The effects of social stressors (education level, income), environmental stressors (NO2, noise) and behavioural factors (unhealthy diet, smoking, alcohol consumption, sedentary behaviours) on MS score were assessed using a structural model. We observed a direct effect of education on MS score, as well as an indirect effect mediated via an unhealthy diet, smoking, and sedentary behaviours. We also observed a significant indirect effect of income via sedentary behaviours. The only environmental stressor predicting MS was noise, which also mediated the effect of education. In summary, the effect of social stressors on the development of cardiometabolic risk had a higher magnitude than the effect of the assessed environmental factors. Social stressors lead to an individual's unhealthy behaviour and might predispose individuals to higher levels of environmental stressors exposures.
Collapse
Affiliation(s)
| | - Andrea Dalecka
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
| | - Daniel Szabo
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
| | - Juan Pablo Gonzalez Rivas
- International Clinical Research Centre (ICRC), St Anne's University Hospital Brno (FNUSA), Brno, Czech Republic
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Martin Bobak
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Hynek Pikhart
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- Department of Epidemiology and Public Health, University College London, London, UK
| |
Collapse
|
2
|
Gui SY, Wu KJ, Sun Y, Chen YN, Liang HR, Liu W, Lu Y, Hu CY. Traffic noise and adiposity: a systematic review and meta-analysis of epidemiological studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:55707-55727. [PMID: 35320480 DOI: 10.1007/s11356-022-19056-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 02/01/2022] [Indexed: 06/14/2023]
Abstract
Traffic noise has attracted much attention as a significant and intractable public health threat. This study was designed as a systematical review to explore the association of traffic noise with different indicators of obesity, thus providing updated quantitative estimates for the pooled effect estimates of the existing literature. We conducted an extensive search for epidemiological studies that investigated the association of traffic noise with obesity in three electronic databases till February 23, 2021. We used random-effects meta-analysis to calculate the summary effect estimates for each 10-dB(A) increase in noise and compared the highest with the lowest category of noise in relation to seven obesity indicators. Meanwhile, we assessed the risk of bias and the overall quality of the evidence of each study as well as the level of evidence for each exposure-outcome pair. The initial search identified 30 studies, 13 of which were ultimately included. The meta-analysis for the highest versus the lowest category of noise exposure was generally associated with higher waist circumfluence (WC) ranging from 0.326 cm (95% confidence interval (CI) = 0.078, 0.574) to 0.705 cm (95% CI = 0.071, 1.340) and higher odds of central obesity ranging from 1.055 (95% CI = 1.000, 1.109) to 1.167 (95% CI = 1.037, 1.298). When the continuous exposure (each 10 dB(A) increase in noise) was introduced, similar results were found. This study indicated positive associations of traffic noise with WC and central obesity. However, in consideration of some limitations, there is an urgent need for future studies to increase the sample size, discriminate the etiological differences in different noise and obesity indicators, and thoroughly consider socioeconomic status.
Collapse
Affiliation(s)
- Si-Yu Gui
- Department of Ophthalmology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Ke-Jia Wu
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Yue Sun
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Yue-Nan Chen
- Department of Clinical Pharmacy, School of Pharmacy, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Huan-Ru Liang
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Wen Liu
- Department of Clinical Medicine, The First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Yao Lu
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China.
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
| | - Cheng-Yang Hu
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
| |
Collapse
|
3
|
Mai X, Zhou H, Li Y, Huang X, Yang T. Associations between ambient fine particulate (PM 2.5) exposure and cardiovascular disease: findings from the China Health and Retirement Longitudinal Study (CHARLS). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:13114-13121. [PMID: 34570321 DOI: 10.1007/s11356-021-16541-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 09/10/2021] [Indexed: 06/13/2023]
Abstract
The evidence regarding the association between long-term fine particulate (PM2.5) exposure and cardiovascular disease (CVD) in developing countries is limited. This study investigated the association between long-term exposure to PM2.5 and the prevalence of CVD among middle-aged and older adults. A total of 13,484 adults ≥ 45 years of age were surveyed in China, and logistic regression models were used to examine the association between PM2.5 and the prevalence of CVD. Furthermore, stratified analyses were conducted to explore potential effect modifiers. In addition, the burden of CVD attributable to PM2.5 was estimated. The analyses revealed that PM2.5 was associated with CVD, with an adjusted odds ratio (OR) of 1.18 (95% confidence interval [CI]: 1.12, 1.26) for each 10 μg/m3 increment in ambient PM2.5. Stratified analyses found that the elderly may be a vulnerable population. It was further estimated that approximately 20.27% (95% CI: 11.86%, 29.96%) of CVD cases could be attributable to PM2.5. This nationwide study confirmed that long-term exposure to PM2.5 was associated with an increased prevalence of CVD in China.
Collapse
Affiliation(s)
- Xiaowei Mai
- Department of Emergency, Panyu Central Hospital, No. 8, Fuyu East Road, Panyu District, Guangzhou, 510006, Guangdong Province, China
| | - Houfeng Zhou
- Department of Emergency, Panyu Central Hospital, No. 8, Fuyu East Road, Panyu District, Guangzhou, 510006, Guangdong Province, China
| | - Yangyang Li
- Department of Emergency, Panyu Central Hospital, No. 8, Fuyu East Road, Panyu District, Guangzhou, 510006, Guangdong Province, China
| | - Xin Huang
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Tao Yang
- Department of Emergency, Panyu Central Hospital, No. 8, Fuyu East Road, Panyu District, Guangzhou, 510006, Guangdong Province, China.
| |
Collapse
|
4
|
Michaud D, Sivakumaran K, Ritonja J, Waseem H, AlShenaiber L, Morgan E, Ahmadi S, Denning A, Morgan R. Impact of Noise Exposure on Risk of Developing Stress-Related Metabolic Effects: A Systematic Review and Meta-Analysis. Noise Health 2022; 24:215-230. [PMID: 36537446 PMCID: PMC10088431 DOI: 10.4103/nah.nah_21_22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Background Exposure to noise can increase biological stress reactions, which may increase adverse health effects, including metabolic disorders; however, the certainty in the association between exposure to noise and metabolic outcomes has not been widely explored. The objective of this review is to evaluate the evidence between noise exposures and metabolic effects. Materials and Methods A systematic review of English and comparative studies available in PubMed, Cochrane Central, EMBASE, and CINAHL databases between January 1, 1980 and December 29, 2021 was performed. Risk of Bias of Nonrandomized Studies of Exposures was used to assess risk of bias of individual studies and certainty of the body of evidence for each outcome was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Results Fifty-six primary studies reporting on cortisol, cholesterol levels, waist circumference, glucose levels, and adrenaline and/or noradrenaline were identified. Although meta-analyses suggested that there may be an increase in waist circumference and adrenaline with increased noise exposure, the certainty in the evidence is very low. Overall, the certainty in the evidence of an effect of increased noise on all the outcomes were low to very low due to concerns with risk of bias, inconsistency across exposure sources, populations, and studies, and imprecision in the estimates of effects. Conclusions The certainty of the evidence of increased noise on metabolic effects was low to very low, which likely reflects the inability to compare across the totality of the evidence for each outcome. The findings from this review may be used to inform policies involving noise reduction and mitigation strategies, and to direct further research in areas that currently have limited evidence available.
Collapse
|
5
|
Cai Y, Zijlema WL, Sørgjerd EP, Doiron D, de Hoogh K, Hodgson S, Wolffenbuttel B, Gulliver J, Hansell AL, Nieuwenhuijsen M, Rahimi K, Kvaløy K. Impact of road traffic noise on obesity measures: Observational study of three European cohorts. ENVIRONMENTAL RESEARCH 2020; 191:110013. [PMID: 32805247 DOI: 10.1016/j.envres.2020.110013] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/23/2020] [Accepted: 07/24/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Environmental stressors such as transport noise may contribute to development of obesity through increased levels of stress hormones, sleep deprivation and endocrine disruption. Epidemiological evidence supporting an association of road traffic noise with obesity markers is still relatively scant and confined to certain geographical regions. We aimed to examine the cross-sectional associations between road traffic noise and obesity markers in three large European cohorts involving nearly 500,000 individuals. METHODS Three population-based cohorts (UK Biobank, Lifelines, HUNT3) were established between 2006 and 2013 in the UK, the Netherlands and Norway respectively. For all three cohorts, residential 24-h road traffic noise (Lden) for 2009 was modelled from a standardised European noise assessment framework. Residential exposures to NO2 for 2007 and PM2.5 for 2010 were estimated from Europe-wide land use regression models. Obesity markers including body mass index and waist circumference were measured at recruitment. Obesity and central obesity status were subsequently derived. Regression models were fitted in each cohort, adjusting for a harmonised set of demographic and lifestyle covariates, with further adjustments for air pollution in the main model. RESULTS The main analyses included 412,934 participants of UK Biobank, 61,032 of Lifelines and 30,305 of HUNT3, with a mean age of 43-56 years and Lden ranging 42-89 dB(A) across cohorts. In UK Biobank, per 10 dB(A) higher of Lden: BMI was higher by 0.14kg/m2 (95%CI: 0.11-0.18), waist circumference higher by 0.27 cm (95%CI: 0.19-0.35), odds of obesity was 1.06 (95%CI: 1.04-1.08) and of central obesity was 1.05 (95%CI: 1.04-1.07). These associations were robust to most other sensitivity analyses but attenuated by further adjustment of PM2.5 or area-level socioeconomic status. Associations were more pronounced among women, those with low physical activity, higher household income or hearing impairment. In HUNT3, associations were observed for obesity or central obesity status among those exposed to Lden greater than 55 dB(A). In contrast, no or negative associations were observed in the Lifelines cohort. CONCLUSIONS This largest study to date providing mixed findings on impacts of long-term exposure to road traffic noise on obesity, which necessitates future analyses using longitudinal data to further investigate this potentially important epidemiological link.
Collapse
Affiliation(s)
- Yutong Cai
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK; Deep Medicine Programme, Oxford Martin School, University of Oxford, Oxford, UK; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
| | - Wilma L Zijlema
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain
| | - Elin Pettersen Sørgjerd
- Department of Public Health and Nursing, HUNT Research Centre, Norwegian University of Science and Technology, Levanger, Norway; Department of Endocrinology, St.Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Dany Doiron
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Susan Hodgson
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Bruce Wolffenbuttel
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - John Gulliver
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - Anna L Hansell
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain
| | - Kazem Rahimi
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK; Deep Medicine Programme, Oxford Martin School, University of Oxford, Oxford, UK
| | - Kirsti Kvaløy
- Department of Public Health and Nursing, HUNT Research Centre, Norwegian University of Science and Technology, Levanger, Norway; Department of Research and Development, Levanger Hospital, Nord-Trøndelag Hospital Trust, Norway
| |
Collapse
|
6
|
Eze IC, Foraster M, Schaffner E, Vienneau D, Pieren R, Imboden M, Wunderli JM, Cajochen C, Brink M, Röösli M, Probst-Hensch N. Incidence of depression in relation to transportation noise exposure and noise annoyance in the SAPALDIA study. ENVIRONMENT INTERNATIONAL 2020; 143:105960. [PMID: 32763645 DOI: 10.1016/j.envint.2020.105960] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 06/10/2020] [Accepted: 07/05/2020] [Indexed: 05/24/2023]
Abstract
Prospective evidence on the risk of depression in relation to transportation noise exposure and noise annoyance is limited and mixed. We aimed to investigate the associations of long-term exposure to source-specific transportation noise and noise annoyance with incidence of depression in the SAPALDIA (Swiss cohort study on air pollution and lung and heart diseases in adults) cohort. We investigated 4,581 SAPALDIA participants without depression in the year 2001/2002. Corresponding one-year mean road, railway and aircraft day-evening-night noise (Lden) was calculated at the most exposed façade of the participants' residential floors, and transportation noise annoyance was assessed on an 11-point scale. Incident cases of depression were identified in 2010/2011, and comprised participants reporting physician diagnosis, intake of antidepressant medication or having a short form-36 mental health score < 50. We used robust Poisson regressions to estimate the mutually adjusted relative risks (RR) and 95% confidence intervals (CI) of depression, independent of traffic-related air pollution and other potential confounders. Incidence of depression was 11 cases per 1,000 person-years. In single exposure models, we observed positive but in part, statistically non-significant associations (per 10 dB) of road traffic Lden [RR: 1.06 (0.93, 1.22)] and aircraft Lden [RR: 1.19 (0.93, 1.53)], and (per 1-point difference) of noise annoyance [RR: 1.05 (1.02, 1.08)] with depression risk. In multi-exposure model, noise annoyance effect remained unchanged, with weaker effects of road traffic Lden [(RR: 1.02 (0.89, 1.17)] and aircraft Lden [(RR: 1.17 (0.90, 1.50)]. However, there were statistically significant indirect effects of road traffic Lden [(β: 0.02 (0.01, 0.03)] and aircraft Lden [β: 0.01 (0.002, 0.02)] via noise annoyance. There were no associations with railway Lden in the single and multi-exposure models [(RRboth models: 0.88 (0.75, 1.03)]. We made similar findings among 2,885 non-movers, where the effect modification and cumulative risks were more distinct. Noise annoyance effect in non-movers was stronger among the insufficiently active (RR: 1.09; 95%CI: 1.02, 1.17; pinteraction = 0.07) and those with daytime sleepiness [RR: 1.07 (1.02, 1.12); pinteraction = 0.008]. Cumulative risks of Lden in non-movers showed additive tendencies for the linear cumulative risk [(RRper 10dB of combined sources: 1.31 (0.90, 1.91)] and the categorical cumulative risk [(RRtriple- vs. zero-source ≥45 dB: 2.29 (1.02, 5.14)], and remained stable to noise annoyance. Transportation noise level and noise annoyance may jointly and independently influence the risk of depression. Combined long-term exposures to noise level seems to be most detrimental, largely acting via annoyance. The moderation of noise annoyance effect by daytime sleepiness and physical activity further contribute to clarifying the involved mechanisms. More evidence is needed to confirm these findings for effective public health control of depression and noise exposure burden.
Collapse
Affiliation(s)
- Ikenna C Eze
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Maria Foraster
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; ISGlobal, Barcelona Institute for Global Health, University Pompeu Fabra, Barcelona, Spain; CIBER Epidemiologia y Salud Publica, Madrid, Spain; Blanquerna School of Health Science, Universitat Ramon Llull, Barcelona, Spain
| | - Emmanuel Schaffner
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Reto Pieren
- Empa, Laboratory for Acoustics/Noise Control, Swiss Federal Laboratories for Material Science and Technology, Dübendorf, Switzerland
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Jean-Marc Wunderli
- Empa, Laboratory for Acoustics/Noise Control, Swiss Federal Laboratories for Material Science and Technology, Dübendorf, Switzerland
| | - Christian Cajochen
- Center for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
| | - Mark Brink
- Federal Office for the Environment, Bern, Switzerland
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| |
Collapse
|
7
|
Hennig F, Moebus S, Reinsch N, Budde T, Erbel R, Jöckel KH, Lehmann N, Hoffmann B, Kälsch H. Investigation of air pollution and noise on progression of thoracic aortic calcification: results of the Heinz Nixdorf Recall Study. Eur J Prev Cardiol 2019; 27:965-974. [PMID: 31189380 PMCID: PMC7272124 DOI: 10.1177/2047487319854818] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Aims Air pollution and noise are potential risk factors for subclinical
atherosclerosis. Longitudinal analyses, especially on the interplay of these
environmental factors, are scarce and inconsistent. Hence we investigated
long-term traffic-related exposure to air pollution and noise with the
development and progression of thoracic aortic calcification, a marker of
subclinical atherosclerosis. Methods We used baseline (2000–2003) and follow-up (2006–2008) data from the German
Heinz Nixdorf Recall cohort study, including 4814 middle-aged adults.
Residence-based air pollution (PM2.5 (aerodynamic
diameter ≤ 2.5 µm), PM10, nitrogen dioxide and particle number),
and noise was assessed with dispersion models. Thoracic aortic calcification
was quantified from non-contrast enhanced electron beam computed tomography.
The presence and extent of thoracic aortic calcification progression were
analysed with multiple logistic and linear regression models, respectively,
adjusting for age, sex, lifestyle variables, socioeconomic status and
respective co-exposure. Results We observed no association in the full study sample
(n = 3155, mean age 59.1 (±7.6) years, 52.8% women). While
an interquartile range in particle number and night-time noise yielded odds
ratios of 1.20 (1.03, 1.40) and 1.21 (1.00, 1.46) for binary thoracic aortic
calcification progression, and 0.02 (–0.01, 0.05) and 0.04 (0.00, 0.07)
higher growth rates of thoracic aortic calcification in participants with
baseline thoracic aortic calcification less than 10, negative findings were
observed in those with baseline thoracic aortic calcification of 10 or
greater. Results were similar for other pollutants and daytime noise. Conclusion Our study shows no overall associations. Subgroup analyses suggest
independent associations of traffic-related air pollution and noise with the
development and progression of subclinical atherosclerosis in participants
with no or minor thoracic aortic calcification at baseline, in contrast to
negative findings in those with advanced calcification.
Collapse
Affiliation(s)
- Frauke Hennig
- Institute of Occupational, Social and Environmental Medicine, Heinrich-Heine University Düsseldorf, Germany
| | - Susanne Moebus
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Germany
| | - Nico Reinsch
- Alfried Krupp Hospital Essen, Department of Cardiology, Germany.,Medical Department, University Witten/Herdecke, Germany
| | - Thomas Budde
- Alfried Krupp Hospital Essen, Department of Cardiology, Germany
| | - Raimund Erbel
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Germany
| | - Nils Lehmann
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Germany
| | - Barbara Hoffmann
- Institute of Occupational, Social and Environmental Medicine, Heinrich-Heine University Düsseldorf, Germany
| | - Hagen Kälsch
- Alfried Krupp Hospital Essen, Department of Cardiology, Germany.,Medical Department, University Witten/Herdecke, Germany
| | | |
Collapse
|
8
|
Vienneau D, Héritier H, Foraster M, Eze IC, Schaffner E, Thiesse L, Rudzik F, Habermacher M, Köpfli M, Pieren R, Brink M, Cajochen C, Wunderli JM, Probst-Hensch N, Röösli M. Façades, floors and maps - Influence of exposure measurement error on the association between transportation noise and myocardial infarction. ENVIRONMENT INTERNATIONAL 2019; 123:399-406. [PMID: 30622064 DOI: 10.1016/j.envint.2018.12.015] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2018] [Revised: 12/07/2018] [Accepted: 12/08/2018] [Indexed: 05/20/2023]
Abstract
BACKGROUND Epidemiological research on transportation noise uses different exposure assessment strategies based on façade point estimates or regulatory noise maps. The degree of exposure measurement error and subsequent potentially biased risk estimates related to exposure definition is unclear. We aimed to evaluate associations between transportation noise exposure and myocardial infarction (MI) mortality considering: assumptions about residential floor, façade point selection (loudest, quietest, nearest), façade point vs. noise map estimates, and influence of averaging exposure at coarser spatial scales (e.g. in ecological health studies). METHODS Lden from the façade points were assigned to >4 million eligible adults in the Swiss National Cohort for the best match residential floor (reference), middle floor, and first floor. For selected floors, the loudest and quietest exposed façades per dwelling, plus the nearest façade point to the residential geocode, were extracted. Exposure was also assigned from 10 × 10 m noise maps, using "buffers" from 50 to 500 m derived from the maps, and by aggregating the maps to larger areas. Associations between road traffic and railway noise and MI mortality were evaluated by multi-pollutant Cox regression models, adjusted for aircraft noise, NO2 and socio-demographic confounders, following individuals from 2000 to 2008. Bias was calculated to express differences compared to the reference. RESULTS Hazard ratios (HRs) for the best match residential floor were 1.05 (1.02-1.07) and 1.03 (1.01-1.05) per IQR (11.3 and 15.0 dB) for road traffic and railway noise, respectively. In most situations, comparing the alternative exposure definitions to this reference resulted in attenuated HRs. For example, assuming everyone resided on the middle or everyone on first floor introduced little bias (%Bias in excess risk: -1.9 to 4.4 road traffic and -4.4 to 10.7 railway noise). Using the noise grids generated a bias of approximately -26% for both sources. Averaging the maps at a coarser spatial scale led to bias from -19.4 to -105.1% for road traffic and 17.6 to -34.3% for railway noise and inflated the confidence intervals such that some HRs were no longer statistically significant. CONCLUSION Changes in spatial scale introduced more bias than changes in residential floor. Use of noise maps to represent residential exposure may underestimate noise-induced health effects, in particular for small-scale heterogeneously distributed road traffic noise in urban settings.
Collapse
Affiliation(s)
- Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Harris Héritier
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Maria Foraster
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; ISGlobal, Barcelona, Spain
| | - Ikenna C Eze
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Emmanuel Schaffner
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Laurie Thiesse
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Switzerland
| | - Franziska Rudzik
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Switzerland
| | | | | | - Reto Pieren
- Empa, Laboratory for Acoustics/Noise control, Swiss Federal Laboratories for Materials Science and Technology, Dubendorf, Switzerland
| | - Mark Brink
- Federal Office for the Environment, Bern, Switzerland
| | - Christian Cajochen
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Switzerland
| | - Jean Marc Wunderli
- Empa, Laboratory for Acoustics/Noise control, Swiss Federal Laboratories for Materials Science and Technology, Dubendorf, Switzerland
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| |
Collapse
|
9
|
An R, Wang J, Ashrafi SA, Yang Y, Guan C. Chronic Noise Exposure and Adiposity: A Systematic Review and Meta-analysis. Am J Prev Med 2018; 55:403-411. [PMID: 30122217 DOI: 10.1016/j.amepre.2018.04.040] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 03/28/2018] [Accepted: 04/13/2018] [Indexed: 12/12/2022]
Abstract
CONTEXT Noise is a key environmental stressor affecting millions of people worldwide on a daily basis. Chronic exposure to noise may elevate the risk of adiposity through sleep deprivation and heightened stress level. EVIDENCE ACQUISITION A literature search was conducted in the PubMed, Web of Science, and Cochrane Library for articles published until February 20, 2018, that assessed the relationship between noise and adiposity. A standardized data extraction form was used to collect methodologic and outcome variables from each included study. EVIDENCE SYNTHESIS Eleven studies were identified, among which seven reported a positive association between chronic exposure to noise and adiposity. Compared with their counterparts exposed to a lower noise level, adults chronically exposed to a noise level above 55-60 dBA were associated with a higher waist circumference by 7.5 mm per year (95% CI=3.6, 11.4, I2=0.0%). An increase in chronic exposure to noise by 10 dBA was found to be associated with a higher waist circumference by 7.0 mm per year (95% CI=2.5, 11.6, I2=93.9%) in the random effect model but not the inverse variance heterogeneity model. Chronic noise exposure was not found to be associated with BMI. CONCLUSIONS Noise tends to be positively associated with waist circumference but not BMI in adults, but current evidence remains limited. Future studies should assess the impact of noise on adiposity in alternative settings and across population subgroups and geographic areas, examine different sources of noise, and elucidate the biomedical and psychosocial pathways linking noise to adiposity.
Collapse
Affiliation(s)
- Ruopeng An
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois.
| | - Junjie Wang
- Department of Kinesiology, Dalian University of Technology, Dalian, Liaoning, China
| | | | - Yan Yang
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Chenghua Guan
- School of Economics and Resource Management, Beijing Normal University, Beijing, China
| |
Collapse
|