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Author Jan Stenvers, D.; Scheer, F.A.J.L.; Schrauwen, P.; la Fleur, S.E.; Kalsbeek, A. url  doi
openurl 
  Title Circadian clocks and insulin resistance Type Journal Article
  Year 2018 Publication Nature Reviews. Endocrinology Abbreviated Journal Nat Rev Endocrinol  
  Volume in press Issue Pages  
  Keywords Human Health; Review  
  Abstract Insulin resistance is a main determinant in the development of type 2 diabetes mellitus and a major cause of morbidity and mortality. The circadian timing system consists of a central brain clock in the hypothalamic suprachiasmatic nucleus and various peripheral tissue clocks. The circadian timing system is responsible for the coordination of many daily processes, including the daily rhythm in human glucose metabolism. The central clock regulates food intake, energy expenditure and whole-body insulin sensitivity, and these actions are further fine-tuned by local peripheral clocks. For instance, the peripheral clock in the gut regulates glucose absorption, peripheral clocks in muscle, adipose tissue and liver regulate local insulin sensitivity, and the peripheral clock in the pancreas regulates insulin secretion. Misalignment between different components of the circadian timing system and daily rhythms of sleep-wake behaviour or food intake as a result of genetic, environmental or behavioural factors might be an important contributor to the development of insulin resistance. Specifically, clock gene mutations, exposure to artificial light-dark cycles, disturbed sleep, shift work and social jet lag are factors that might contribute to circadian disruption. Here, we review the physiological links between circadian clocks, glucose metabolism and insulin sensitivity, and present current evidence for a relationship between circadian disruption and insulin resistance. We conclude by proposing several strategies that aim to use chronobiological knowledge to improve human metabolic health.  
  Address Netherlands Institute for Neuroscience (NIN), Royal Dutch Academy of Arts and Sciences (KNAW), Amsterdam, Netherlands. a.kalsbeek@nin.knaw.nl  
  Corporate Author (up) Thesis  
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  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1759-5029 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30531917 Approved no  
  Call Number GFZ @ kyba @ Serial 2133  
Permanent link to this record
 

 
Author O'Connell, H. A. url  openurl
  Title Streetlights in the city: understanding the distribution of Houston streetlights Type Journal Article
  Year 2017 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords Lighting; Society  
  Abstract There are at least 173,724 streetlights in the city of Houston, or about 15 streetlights per mile of roadway in the average Houston neighborhood. But there is wide variation in streetlight density across those neighborhoods. This report offers several important findings. First, black and Hispanic neighborhoods have higher concentrations of streetlights than white neighborhoods. Second, mixed-income neighborhoods tend to have higher concentrations of streetlights than the city’s wealthiest and poorest neighborhoods.

In the context of this discussion, we should consider the possibility that some areas of the city are overly lit in addition to being concerned about the places without enough lights. There may be a point at which having more lights actually becomes a negative. We need to get a better understanding of the lived consequences of the level of available lighting before making any further decisions regarding city streetlights.
 
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  Publisher Rice | Kinder Institute for urban research Place of Publication Editor  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2068  
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Author Penchalaiah, K., Kumari, A.V., Naik, R.S., Deepthi, M. url  doi
openurl 
  Title Paederus Dermatitis: A Clinical Study of 200 Cases Type Journal Article
  Year 2017 Publication Indian Journal of Applied Research Abbreviated Journal  
  Volume 7 Issue 4 Pages 65-67  
  Keywords Human Health  
  Abstract Introduction: Paederus dermatitis is peculiar irritant dermatitis seen in regions with warm, tropical and subtropical regions, like India, causes significant morbidity and can be misleading in diagnosis. The study was conducted to know the clinical profile of Paederus dermatitis and to create awareness among medical practitioners about this condition. Materials & Methods: All clinically diagnosed cases of Paederus dermatitis were included in the study. Detailed history was taken and a thorough clinical examination was conducted in all the cases. Results: A total of 200 cases comprising of 124 males and 76 females were studied. Morphology of lesions was mainly linear, but zosteriform, kissing and bizarre lesions were also observed. Conclusion: Paederus dermatitis should be included in differential diagnosis while examining erythemato– vesicular lesions of sudden onset, especially on exposed body parts during rainy and post rainy season. Awareness of this condition and its clinical features among the physicians and medical practitioners will prevent misdiagnosis.  
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  Call Number NC @ ehyde3 @ Serial 2069  
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Author Griepentrog, J.E.; Labiner, H.E.; Gunn, S.R.; Rosengart, M.R. url  doi
openurl 
  Title Bright environmental light improves the sleepiness of nightshift ICU nurses Type Journal Article
  Year 2018 Publication Critical Care (London, England) Abbreviated Journal Crit Care  
  Volume 22 Issue 1 Pages 295  
  Keywords Circadian; Light; Night shift; Nurse; Shift work sleep disorder  
  Abstract BACKGROUND: Shift work can disturb circadian homeostasis and result in fatigue, excessive sleepiness, and reduced quality of life. Light therapy has been shown to impart positive effects in night shift workers. We sought to determine whether or not prolonged exposure to bright light during a night shift reduces sleepiness and enhances psychomotor performance among ICU nurses.

METHODS: This is a single-center randomized, crossover clinical trial at a surgical trauma ICU. ICU nurses working a night shift were exposed to a 10-h period of high illuminance (1500-2000 lx) white light compared to standard ambient fluorescent lighting of the hospital. They then completed the Stanford Sleepiness Scale and the Psychomotor Vigilance Test. The primary and secondary endpoints were analyzed using the paired t test. A p value <0.05 was considered significant.

RESULTS: A total of 43 matched pairs completed both lighting exposures and were analyzed. When exposed to high illuminance lighting subjects experienced reduced sleepiness scores on the Stanford Sleepiness Scale than when exposed to standard hospital lighting: mean (sem) 2.6 (0.2) vs. 3.0 (0.2), p = 0.03. However, they committed more psychomotor errors: 2.3 (0.2) vs. 1.7 (0.2), p = 0.03.

CONCLUSIONS: A bright lighting environment for ICU nurses working the night shift reduces sleepiness but increases the number of psychomotor errors.

TRIAL REGISTRATION: ClinicalTrials.gov, NCT03331822 . Retrospectively registered on 6 November 2017.
 
  Address Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA. rosengartmr@upmc.edu  
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  Language English Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN 1364-8535 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30424793 Approved no  
  Call Number GFZ @ kyba @ Serial 2070  
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Author Chen, J.; Fan, W.; Li, K.; Liu, X.; Song, M. url  doi
openurl 
  Title Fitting Chinese cities’ population distributions using remote sensing satellite data Type Journal Article
  Year 2019 Publication Ecological Indicators Abbreviated Journal Ecological Indicators  
  Volume 98 Issue Pages 327-333  
  Keywords Remote Sensing  
  Abstract Remote sensing satellite data from 2012 to 2013 are used to fit the Chinese cities’ population distributions over the same period in order to verify the population distribution in China from a relatively objective perspective. Most scholars have used nighttime light data and vegetation indexes to fit the population distribution, but the fitting effect has not been satisfactory. In this paper, processed Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light data, net primary productivity of vegetation (NPP), and average slope data were used to fit the population distribution from the three dimensions of economic growth, ecological environment, and topographic factors, respectively. The fitting effect was significantly improved compared with other studies (R2 values of 0.9244 and 0.9253 in 2012 and 2013, respectively). Therefore, this method provides a practical and effective way to fit the population distribution for remote cities or areas lacking census data. Furthermore, there is important practical significance for the government to formulate its population policies rationally, optimize the spatial distribution of population, and improve the ecological quality of the city.  
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  Series Volume Series Issue Edition  
  ISSN 1470160X ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2071  
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