Martin Röösli - Academia.edu (original) (raw)

Papers by Martin Röösli

International journal of public health, Jan 8, 2015

To investigate the associations between problematic mobile phone use and mental health and behavi... more To investigate the associations between problematic mobile phone use and mental health and behavioural problems in 412 Swiss adolescents owning a mobile phone while controlling for amount of mobile phone use. Problematic mobile phone use was determined by the MPPUS-10 (Mobile Phone Problem Use Scale) and related to health and behavioural problems by means of multivariable regression modelling. MPPUS-10 was 4.7 (95 % CI 1.8, 7.6) units higher in girls than in boys, increased significantly with age and was significantly decreased with increasing educational level of the parents. Furthermore, problematic mobile phone use was associated with impaired psychological well-being, impaired parent and school relationships and more behavioural problems but was not related to peer support and social acceptance. Our study indicates that problematic mobile phone use is associated with external factors such as worse home and school environment and internal factors such as impaired mental health an...

International Journal of Environmental Research and Public Health, 2015

Exposure assessment is a crucial part in studying potential effects of RF-EMF. Using data from th... more Exposure assessment is a crucial part in studying potential effects of RF-EMF. Using data from the HERMES study on adolescents, we developed an integrative exposure surrogate combining near-field and far-field RF-EMF exposure in a single brain and whole-body exposure measure. Contributions from far-field sources were modelled by propagation modelling and multivariable regression modelling using personal measurements. Contributions from near-field sources were assessed from both, questionnaires and mobile phone operator records. Mean cumulative brain and whole-body doses were 1559.7 mJ/kg and 339.9 mJ/kg per day, respectively. 98.4% of the brain dose originated from near-field sources, mainly from GSM mobile phone calls (93.1%) and from DECT phone calls (4.8%). Main contributors to the whole-body dose were GSM mobile phone calls (69.0%), use of computer, laptop and tablet connected to WLAN (12.2%) and data traffic on the mobile phone via WLAN (6.5%). The exposure from mobile phone base stations contributed 1.8% to the whole-body dose, while uplink exposure from other people's mobile phones contributed 3.6%. In conclusion, the proposed approach is considered useful to combine near-field and far-field exposure to an integrative exposure surrogate for exposure assessment in epidemiologic studies. However, substantial uncertainties remain about exposure contributions from various near-field and far-field sources.

Journal of Exposure Science and Environmental Epidemiology, 2015

Most environmental epidemiology studies model health effects of noise by regressing on acoustic e... more Most environmental epidemiology studies model health effects of noise by regressing on acoustic exposure metrics that are based on the concept of average energetic dose over longer time periods (i.e. the Leq and related measures). Regarding noise effects on health and wellbeing, average measures often cannot satisfactorily predict annoyance and somatic health effects of noise, particularly sleep disturbances. It has been hypothesized that effects of noise can be better explained when also considering the variation of the level over time and the frequency distribution of event-related acoustic measures, such as for example, the maximum sound pressure level. However, it is unclear how this is best parametrized in a metric that is not correlated with the Leq, but takes into account the frequency distribution of events and their emergence from background. In this paper, a calculation method is presented that produces a metric which reflects the intermittency of road, rail and aircraft noise exposure situations. The metric termed intermittency ratio (IR) expresses the proportion of the acoustical energy contribution in the total energetic dose that is created by individual noise events above a certain threshold. To calculate the metric, it is shown how to estimate the distribution of maximum pass-by levels from information on geometry (distance and angle), traffic flow (number and speed) and single-event pass-by levels per vehicle category. On the basis of noise maps that simultaneously visualize Leq, as well as IR, the differences of both metrics are discussed.Journal of Exposure Science and Environmental Epidemiology advance online publication, 9 September 2015; doi:10.1038/jes.2015.56.

PLOS ONE, 2015

Many adolescents tend to leave their mobile phones turned on during night, accepting that they ma... more Many adolescents tend to leave their mobile phones turned on during night, accepting that they may be awakened by an incoming text message or call. Using self-reported and objective operator recorded mobile phone use data, we thus aimed to analyze how being awakened during night by mobile phone affects adolescents' perceived health and cognitive functions. In this cross-sectional study, 439 adolescents completed questionnaires about their mobile phone use during night, health related quality of life and possible confounding factors. Standardized computerized cognitive tests were performed to assess memory and concentration capacity. Objective operator recorded mobile phone use data was further collected for 233 study participants. Data were analyzed by multivariable regression models adjusted for relevant confounders including amount of mobile phone use. For adolescents reporting to be awakened by a mobile phone during night at least once a month the odds ratio for daytime tiredness and rapid exhaustibility were 1.86 (95% CI: 1.02-3.39) and 2.28 (95% CI: 0.97-5.34), respectively. Similar results were found when analyzing objective operator recorded mobile phone use data (tiredness: 1.63, 95% CI: 0.94-2.82 and rapid exhaustibility: 2.32, 95% CI: 1.01-5.36). The cognitive tests on memory and concentration capacity were not related to mobile phone use during night. Overall, being awakened during night by mobile phone was associated with an increase in health symptom reports such as tiredness, rapid exhaustibility, headache and physical ill-being, but not with memory and concentration capacity. Prevention strategies should focus on helping adolescents set limits for their accessibility by mobile phone, especially during night.

Carcinogenesis, Jan 25, 2015

The role of genetic polymorphisms in pediatric brain tumor (PBT) etiology is poorly understood. W... more The role of genetic polymorphisms in pediatric brain tumor (PBT) etiology is poorly understood. We hypothesized that single nucleotide polymorphisms (SNPs) identified in genome-wide association studies (GWAS) on adult glioma would also be associated with PBT risk. The study is based on the Cefalo study, a population-based multicenter case-control study. Saliva DNA from 245 cases and 489 controls, aged 7-19 years at diagnosis/reference date, was extracted and genotyped for 29 SNPs reported by GWAS to be significantly associated with risk of adult glioma. Data were analyzed using unconditional logistic regression. Stratified analyses were performed for two histological subtypes: astrocytoma alone and the other tumor types combined. The results indicated that four SNPs, CDKN2BAS rs4977756 (p=0.036), rs1412829 (p=0.037), rs2157719 (p=0.018), and rs1063192 (p=0.021), were associated with an increased susceptibility to PBTs, whereas the TERT rs2736100 was associated with a decreased risk ...

International Journal of Hygiene and Environmental Health, 2015

There is growing evidence that chronic exposure to transportation related noise and air pollution... more There is growing evidence that chronic exposure to transportation related noise and air pollution affects human health. However, health burden to a country of these two pollutants have been rarely compared. As an input for external cost quantification, we estimated the cardiorespiratory health burden from transportation related noise and air pollution in Switzerland, incorporating the most recent findings related to the health effects of noise. Spatially resolved noise and air pollution models for the year 2010 were derived for road, rail and aircraft sources. Average day-evening-night sound level (Lden) and particulate matter (PM10) were selected as indicators, and population-weighted exposures derived by transportation source. Cause-specific exposure-response functions were derived from a meta-analysis for noise and literature review for PM10. Years of life lost (YLL) were calculated using life table methods; population attributable fraction was used for deriving attributable cases for hospitalisations, respiratory illnesses, visits to general practitioners and restricted activity days. The mean population weighted exposure above a threshold of 48dB(A) was 8.74dB(A), 1.89dB(A) and 0.37dB(A) for road, rail and aircraft noise. Corresponding mean exposure contributions were 4.4, 0.54, 0.12μg/m(3) for PM10. We estimated that in 2010 in Switzerland transportation caused 6000 and 14,000 YLL from noise and air pollution exposure, respectively. While there were a total of 8700 cardiorespiratory hospital days attributed to air pollution exposure, estimated burden due to noise alone amounted to 22,500 hospital days. YLL due to transportation related pollution in Switzerland is dominated by air pollution from road traffic, whereas consequences for morbidity and indicators of quality of life are dominated by noise. In terms of total external costs the burden of noise equals that of air pollution.

absorb radiofrequency (RF) energy from wireless phones. Epidemiology and in vivo studies were eva... more absorb radiofrequency (RF) energy from wireless phones. Epidemiology and in vivo studies were evaluated according to an agreed protocol; quality criteria were used to evaluate the studies for narrative synthesis but not for meta-analyses or pooling of results. The epidemiology study results were heterogeneous, with sparse data on long-term use (10 years). Meta-analyses of the epidemiology studies showed no statistically significant increase in risk (defined as P < 0.05) for adult brain cancer or other head tumors from wireless phone use. Analyses of the in vivo oncogenicity, tumor promotion, and genotoxicity studies also showed no statistically significant relationship between exposure to RF fields and genotoxic damage to brain cells, or the incidence of brain cancers or other tumors of the head. Assessment of the review results using the Hill criteria did not support a causal relationship between wireless phone use and the incidence of adult cancers in the areas of the head that most absorb RF energy from the use of wireless phones. There are insufficient data to make any determinations about longer-term use (10 years).

Environmental research, Jan 10, 2015

There is a growing body of evidence that exposure to transportation related noise can adversely a... more There is a growing body of evidence that exposure to transportation related noise can adversely affect health and wellbeing. More recently, research on cardiovascular disease has specifically explored the hypothesis that exposure to transportation noise increases the risk for ischemic heart disease (IHD). Our objective was to review and conduct a meta-analysis to obtain an overall exposure-response association. We conducted a systematic review and retained published studies on incident cases of IHD using sources of transportation noise as exposure. Study-specific results were transformed into risk estimates per 10dB increase in exposure. Subsequently we conducted a random effects meta-analysis to pool the estimates. We identified 10 studies on road and aircraft noise exposure conducted since the mid-1990s, providing a total of 12 risk estimates. Pooled relative risk for IHD was 1.06 (1.03-1.09) per 10dB increase in noise exposure with the linear exposure-response starting at 50dB. B...

Exposure to air pollution increases the risk of Sudden Infant Death Syndrome and thus potentially... more Exposure to air pollution increases the risk of Sudden Infant Death Syndrome and thus potentially influences control of breathing. This raises the question of whether tidal breathing parameters related to the control of breathing are influenced by atmospheric conditions and air pollution on the day of measurement (DOM).

Somnologie, 2005

Objectives The studies reported here investigated the association between health complaints and t... more Objectives The studies reported here investigated the association between health complaints and the vicinity to the short wave transmitter Schwarzenburg, and looked for evidence for a relationship between magnetic field exposure and sleep disturbances. Subjects and Methods Between 1992 and 1998 two cross-sectional and two panel studies were performed in the area of Schwarzenburg. In each cross-sectional survey about 400 adults living in differently exposed areas were asked about somatic and psycho-vegetative symptoms including sleep disturbances as well as possible confounding factors. Exposure was estimated based on 2621 measurements of magnetic field strength made in 56 locations. In the panel studies, sleep quality and melatonin excretion was studied when the transmission was interrupted or definitively shut down, respectively. Results In both surveys, prevalence of difficulties of falling asleep and in particular, maintaining sleep, increased with increasing radio frequency electromagnetic field exposure (RF-EMF). Sleep quality improved after interruption of exposure. A chronic change of melatonin excretion following RF-EMF exposure could not be shown, but a parallel study of salivary samples in cows showed a temporary increase after a short latency period following interruption of exposure.

Environmental Health, 2008

Background: Exposure to intermittent magnetic fields of 16 Hz has been shown to reduce heart rate... more Background: Exposure to intermittent magnetic fields of 16 Hz has been shown to reduce heart rate variability, and decreased heart rate variability predicts cardiovascular mortality. We examined mortality from cardiovascular causes in railway workers exposed to varying degrees to intermittent 16.7 Hz magnetic fields.

Environmental health : a global access science source, 2010

The development of new wireless communication technologies that emit radio frequency electromagne... more The development of new wireless communication technologies that emit radio frequency electromagnetic fields (RF-EMF) is ongoing, but little is known about the RF-EMF exposure distribution in the general population. Previous attempts to measure personal exposure to RF-EMF have used different measurement protocols and analysis methods making comparisons between exposure situations across different study populations very difficult. As a result, observed differences in exposure levels between study populations may not reflect real exposure differences but may be in part, or wholly due to methodological differences. The aim of this paper is to develop a study protocol for future personal RF-EMF exposure studies based on experience drawn from previous research. Using the current knowledge base, we propose procedures for the measurement of personal exposure to RF-EMF, data collection, data management and analysis, and methods for the selection and instruction of study participants. We have...

Journal of the National Cancer Institute, 2014

Science of The Total Environment, 2011

Noise and Health, 2014

Women sleep differently and report differently about sleep disturbances than men. However, it is ... more Women sleep differently and report differently about sleep disturbances than men. However, it is unclear whether the sleep of women and men is affected differently by traffic noise exposure. We aimed to address gender specific noise effects by using objective and subjective exposure measures as well as objective and subjective outcome data. In a questionnaire survey conducted in 2008 including 733 women and 533 men from Basel, Switzerland, with follow-up 1 year later, we collected data on subjective sleep disturbances and annoyance to road traffic noise. Objective noise exposure data was obtained using validated propagation models. In a nested diary study with 119 participants, objective sleep efficiency and sleep duration was measured by means of actigraphic devices for 1551 nights. Data were analyzed using random intercept mixed-effects multilevel regression models adjusted for relevant confounding factors. Objectively measured sleep duration in highly exposed men (&amp;amp;amp;gt;55 dB) was reduced by 1.5 h (95% confidence interval [CI]: 2.3-0.8 h) compared with low exposed men (&amp;amp;amp;lt;30 dB). No noise effect on sleep duration was observed in women. The association of modeled noise exposure with self-reported sleep quality rating was also more pronounced in men (-0.8 unit, 95% CI: -1.4 to -0.2) than in women (-0.3 unit, 95% CI: -0.8 to 0.2). However, in highly annoyed women reduction in sleep quality and well-being rating tended to be stronger than in highly annoyed men. Our study provides some indications that noise exposure affects men&amp;amp;amp;#39;s sleep differently than women&amp;amp;amp;#39;s sleep, which may have distinct long-term health consequences.

Science of The Total Environment, 2009

Radio frequency electromagnetic fields (RF-EMF) Mobile phone base station Wireless LAN (W-LAN) DE... more Radio frequency electromagnetic fields (RF-EMF) Mobile phone base station Wireless LAN (W-LAN) DECT cordless phone Radio and television broadcast Radio frequency electromagnetic fields (RF-EMF) in our daily life are caused by numerous sources such as fixed site transmitters (e.g. mobile phone base stations) or indoor devices (e.g. cordless phones). The objective of this study was to develop a prediction model which can be used to predict mean RF-EMF exposure from different sources for a large study population in epidemiological research. We collected personal RF-EMF exposure measurements of 166 volunteers from Basel, Switzerland, by means of portable exposure meters, which were carried during one week. For a validation study we repeated exposure measurements of 31 study participants 21 weeks after the measurements of the first week on average. These second measurements were not used for the model development. We used two data sources as exposure predictors: 1) a questionnaire on potentially exposure relevant characteristics and behaviors and 2) modeled RF-EMF from fixed site transmitters (mobile phone base stations, broadcast transmitters) at the participants' place of residence using a geospatial propagation model. Relevant exposure predictors, which were identified by means of multiple regression analysis, were the modeled RF-EMF at the participants' home from the propagation model, housing characteristics, ownership of communication devices (wireless LAN, mobile and cordless phones) and behavioral aspects such as amount of time spent in public transports. The proportion of variance explained (R 2 ) by the final model was 0.52. The analysis of the agreement between calculated and measured RF-EMF showed a sensitivity of 0.56 and a specificity of 0.95 (cut-off: 90th percentile). In the validation study, the sensitivity and specificity of the model were 0.67 and 0.96, respectively. We could demonstrate that it is feasible to model personal RF-EMF exposure. Most importantly, our validation study suggests that the model can be used to assess average exposure over several months.

… ARC-Report ARC- …, 2008

The authors gratefully acknowledge the Swiss Research Fundation on Mobile Communication for spons... more The authors gratefully acknowledge the Swiss Research Fundation on Mobile Communication for sponsoring this project and Satimo (Antennessa) for many valuable discussions and information on the function of exposimeters.

Science of The Total Environment, 2014

High reproducibility of mobile phone base station exposure levels • Portable devices are suitable... more High reproducibility of mobile phone base station exposure levels • Portable devices are suitable for monitoring trends in the everyday environment.

Radiation Research, 2010

Effects of Everyday Radiofrequency Electromagnetic-Field Exposure on Sleep Quality: A Cross-Secti... more Effects of Everyday Radiofrequency Electromagnetic-Field Exposure on Sleep Quality: A Cross-Sectional Study.

Progress in Biophysics and Molecular Biology, 2011

A growing body of literature addresses possible health effects of mobile phone use in children an... more A growing body of literature addresses possible health effects of mobile phone use in children and adolescents by relying on the study participants&amp;amp;amp;amp;amp;amp;amp;amp;amp;#39; retrospective reconstruction of mobile phone use. In this study, we used data from the international case-control study CEFALO to compare self-reported with objectively operator-recorded mobile phone use. The aim of the study was to assess predictors of level of mobile phone use as well as factors that are associated with overestimating own mobile phone use. For cumulative number and duration of calls as well as for time since first subscription we calculated the ratio of self-reported to operator-recorded mobile phone use. We used multiple linear regression models to assess possible predictors of the average number and duration of calls per day and logistic regression models to assess possible predictors of overestimation. The cumulative number and duration of calls as well as the time since first subscription of mobile phones were overestimated on average by the study participants. Likelihood to overestimate number and duration of calls was not significantly different for controls compared to cases (OR=1.1, 95%-CI: 0.5 to 2.5 and OR=1.9, 95%-CI: 0.85 to 4.3, respectively). However, likelihood to overestimate was associated with other health related factors such as age and sex. As a consequence, such factors act as confounders in studies relying solely on self-reported mobile phone use and have to be considered in the analysis.