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Author Garcia-Saenz, A.; Sanchez de Miguel, A.; Espinosa, A.; Valentin, A.; Aragones, N.; Llorca, J.; Amiano, P.; Martin Sanchez, V.; Guevara, M.; Capelo, R.; Tardon, A.; Peiro-Perez, R.; Jimenez-Moleon, J.J.; Roca-Barcelo, A.; Perez-Gomez, B.; Dierssen-Sotos, T.; Fernandez-Villa, T.; Moreno-Iribas, C.; Moreno, V.; Garcia-Perez, J.; Castano-Vinyals, G.; Pollan, M.; Aube, M.; Kogevinas, M. url  doi
openurl 
  Title Evaluating the Association between Artificial Light-at-Night Exposure and Breast and Prostate Cancer Risk in Spain (MCC-Spain Study) Type Journal Article
  Year 2018 Publication Environmental Health Perspectives Abbreviated Journal Environ Health Perspect  
  Volume 126 Issue 4 Pages 047011  
  Keywords Human Health; Remote Sensing; Adult; Aged; Aged, 80 and over; Breast Neoplasms/*epidemiology/etiology; Case-Control Studies; Circadian Rhythm; Female; Humans; Incidence; Light/*adverse effects; Lighting/*adverse effects; Male; Middle Aged; Prostatic Neoplasms/*epidemiology/etiology; Risk Factors; Spain/epidemiology; Young Adult  
  Abstract BACKGROUND: Night shift work, exposure to light at night (ALAN) and circadian disruption may increase the risk of hormone-dependent cancers. OBJECTIVES: We evaluated the association of exposure to ALAN during sleeping time with breast and prostate cancer in a population based multicase-control study (MCC-Spain), among subjects who had never worked at night. We evaluated chronotype, a characteristic that may relate to adaptation to light at night. METHODS: We enrolled 1,219 breast cancer cases, 1,385 female controls, 623 prostate cancer cases, and 879 male controls from 11 Spanish regions in 2008-2013. Indoor ALAN information was obtained through questionnaires. Outdoor ALAN was analyzed using images from the International Space Station (ISS) available for Barcelona and Madrid for 2012-2013, including data of remotely sensed upward light intensity and blue light spectrum information for each geocoded longest residence of each MCC-Spain subject. RESULTS: Among Barcelona and Madrid participants with information on both indoor and outdoor ALAN, exposure to outdoor ALAN in the blue light spectrum was associated with breast cancer [adjusted odds ratio (OR) for highest vs. lowest tertile, OR=1.47; 95% CI: 1.00, 2.17] and prostate cancer (OR=2.05; 95% CI: 1.38, 3.03). In contrast, those exposed to the highest versus lowest intensity of outdoor ALAN were more likely to be controls than cases, particularly for prostate cancer. Compared with those who reported sleeping in total darkness, men who slept in “quite illuminated” bedrooms had a higher risk of prostate cancer (OR=2.79; 95% CI: 1.55, 5.04), whereas women had a slightly lower risk of breast cancer (OR=0.77; 95% CI: 0.39, 1.51). CONCLUSION: Both prostate and breast cancer were associated with high estimated exposure to outdoor ALAN in the blue-enriched light spectrum. https://doi.org/10.1289/EHP1837.  
  Address IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0091-6765 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:29687979; PMCID:PMC6071739 Approved no  
  Call Number GFZ @ kyba @ Serial (down) 3044  
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Author Factors Influencing Quality of Sleep among Critically Ill Patients in Selected Hospitals in Western Kenya url  openurl
  Title Factors Influencing Quality of Sleep among Critically Ill Patients in Selected Hospitals in Western Kenya Type Journal Article
  Year 2018 Publication Journal of Health, Medicine and Nursing Abbreviated Journal  
  Volume 56 Issue Pages  
  Keywords Human Health  
  Abstract Sleep is essential for rest, repair, well-being, and survival of the patient. Sleep quality varies in critically ill patients and is measured by patient's satisfaction of the sleep experience, integrating aspects of sleep initiation, sleep maintenance, quantity of sleep and the refreshment upon awakening. Altered sleep is a common problem experienced by patients in critical care units. This alterations may lead to physiological and psychological dysfunctions that may affect recovery. Critically ill patients frequently experience poor sleep, characterized by frequent disruptions and loss of circadian rhythms. This study investigated factors influencing the quality of sleep among critically ill patients in hospitals in Western Kenya. A cross-sectional descriptive research design was used to examine these factors. A total of 142 patients above 18 years who were admitted to the Intensive Care Unit (ICU) and those transferred from the ICU to the general ward during the study period were conveniently selected for participation in the study. For triangulation, 10 nurses who worked in the ICU also participated in the study. A structured questionnaire was used to collect data from patients while a checklist was used to observe nursing interventions. Descriptive statistical techniques used were frequencies and percentages, while chi-square was used with the p-value set at 0.05 to test the association between factors and quality of sleep. The study results showed that frequent, nursing care activities 96.5% (n=137) noise from ventilator alarms 83.1% (n=118), feeling thirsty 57.7% (n= 82) and pain 52.8% (n=75) were among the major factors influencing the quality of sleep in ICU. A one-way analysis of variance (ANOVA) revealed patient factors significantly associated with quality sleep were age p=.006 and marital status p=.02, environmental factors significantly affecting sleep were presence of light at night with a p <0.0001 and noise from alarms p=.01. Physiological factors included feeling of thirst and hunger (p=0.03). This study recommends optimal use of analgesics and sedatives for pain management, adequate fluid replacement and hydration, noise reduction strategies, including minimizing monitor and ventilator alarms, reducing staff and telephone conversations and use of ear plugs for patients in ICU. Further, nurses should implement clustered procedures to reduce disruption of sleep among critically ill patients.  
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  Call Number IDA @ intern @ Serial (down) 2974  
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Author Beyer, R., Chhabra, E., Galdo, V., & Rama M. url  openurl
  Title Measuring Districts’ Monthly Economic Activity from Outer Space Type Journal Article
  Year 2018 Publication The World Bank Abbreviated Journal  
  Volume Issue Pages  
  Keywords Remote Sensing  
  Abstract Evening-hour luminosity observed using satellites is a good proxy for economic activity. The strengths of measuring economic activity using nightlight measurements include that the data capture informal activity, are available in near real-time, are cheap to obtain, and can be used to conduct very spatially granular analysis. This paper presents a measure of monthly economic activity at the district level based on cleaned Visible Infrared Imaging Radiometer Suite nightlight and rural population. The paper demonstrates that this new method can shed light on recent episodes in South Asia: first, the 2015 earthquake in Nepal; second, demonetization in India; and, third, violent conflict outbreaks in Afghanistan.  
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  Notes Approved no  
  Call Number IDA @ intern @ Serial (down) 2965  
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Author Zielinska-Dabkowska, K.M. url  doi
openurl 
  Title Make lighting healthier Type Journal Article
  Year 2018 Publication Nature Abbreviated Journal Nature  
  Volume 553 Issue 7688 Pages 274-276  
  Keywords Commentary; Lighting; Human Health  
  Abstract Artificial illumination can stop us sleeping and make us ill. We need fresh strategies and technologies, argues Karolina M. Zielinska-Dabkowska.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0028-0836 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial (down) 2932  
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Author Ehrlich, D.; Schiavina, M.; Pesaresi, M.; Kemper, T. url  doi
isbn  openurl
  Title Detecting spatial pattern of inequalities from remote sensing – Towards mapping of deprived communities and poverty Type Journal Article
  Year 2018 Publication EUR 29465 EN Abbreviated Journal  
  Volume Issue Pages JRC113941  
  Keywords Remote Sensing  
  Abstract Spatial inequalities across the globe are not easy to detect and satellite data have shown to be of use in this task. Earth Observation (EO) data combined with other information sources can provide complementary information to those derived from traditional methods. This research shows patterns of inequalities emerging by combining global night lights measured from Earth Observation, population density and built-up in 2015. The focus of the paper is to describe the spatial patterns that emerge by combing the three variables. This work focuses on processing EO data to derive information products, and in combining built-up- and population density with night-time lights emission. The built-up surface was derived entirely from remote sensing archives using artificial intelligence and pattern recognition techniques. The built-up was combined with population census data to derive population density. Also the night-time lights emission data were available from EO satellite sensors. The three layers are subsequently combined as three colour compositions based on the three primary colours (i.e. red, green and blue) to display the “spatial human settlement pattern” maps. These GHSL nightlights provide insights in inequalities across the globe. Many patterns seem to be associated with countries income. Typically, high income countries are very well lit at night, low income countries are poorly lit at night. All larger cities of the world are lit at night, those in low-income countries are often less well lit than cites in high-income countries. There are also important differences in nightlights emission in conflict areas, or along borders of countries. This report provides a selected number of patterns that are described at the regional, national and local scale. However, in depth analysis would be required to assess more precisely that relation between wealth access to energy and countries GDP, for example. This work also addresses regional inequality in GHSL nightlights in Slovakia. The country was selected to address the deprivation of the Roma minority community. The work aims to relate the information from the GHSL nightlights with that collected from field survey and census information conducted at the national level. Socio-economic data available at subnational level was correlated with nightlight. The analysis shows that despite the potential of GHSL nightlights in identifying deprived areas, the measurement scale of satellite derived nightlights at 375 x 375 m to 750 x 750 m pixel size is too coarse to capture the inequalities of deprived communities that occur at finer scale. In addition, in the European context, the gradient of inequality is not strong enough to produce strong evidence. Although there is a specific pattern of GHSL nightlights in settlements with high Roma presence, this cannot be used to identify such areas among the others. This work is part of the exploratory data analysis conducted within the GHSL team. The exploratory analysis will be followed by more quantitative assessments that will be available in future work.  
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  Publisher European Union Place of Publication Luxembourg Editor  
  Language Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN ISBN 978-92-79-97528-8 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial (down) 2821  
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