Records |
Author |
Kaplan, K.A.; Mashash, M.; Williams, R.; Batchelder, H.; Starr-Glass, L.; Zeitzer, J.M. |
Title |
Effect of Light Flashes vs Sham Therapy During Sleep With Adjunct Cognitive Behavioral Therapy on Sleep Quality Among Adolescents: A Randomized Clinical Trial |
Type |
Journal Article |
Year |
2019 |
Publication |
JAMA Network Open |
Abbreviated Journal |
JAMA Netw Open |
Volume |
2 |
Issue |
9 |
Pages  |
e1911944 |
Keywords |
Human Health |
Abstract |
Importance: Owing to biological, behavioral, and societal factors, sleep duration in teenagers is often severely truncated, leading to pervasive sleep deprivation. Objective: To determine whether a novel intervention, using both light exposure during sleep and cognitive behavioral therapy (CBT), would increase total sleep time in teenagers by enabling them to go to sleep earlier than usual. Design, Setting, and Participants: This double-blind, placebo-controlled, randomized clinical trial, conducted between November 1, 2013, and May 31, 2016, among 102 adolescents enrolled full-time in grades 9 to 12, who expressed difficulty going to bed earlier and waking up early enough, was composed of 2 phases. In phase 1, participants were assigned to receive either 3 weeks of light or sham therapy and were asked to try to go to sleep earlier. In phase 2, participants received 4 brief CBT sessions in addition to a modified light or sham therapy. All analyses were performed on an intent-to-treat basis. Interventions: Light therapy consisted of receiving a 3-millisecond light flash every 20 seconds during the final 3 hours of sleep (phase 1) or final 2 hours of sleep (phase 2). Sham therapy used an identical device, but delivered 1 minute of light pulses (appearing in 20-second intervals, for a total of 3 pulses) per hour during the final 3 hours of sleep (phase 1) or 2 hours of sleep (phase 2). Light therapy occurred every night during the 4-week intervention. Cognitive behavioral therapy consisted of four 50-minute in-person sessions once per week. Main Outcomes and Measures: Primary outcome measures included diary-based sleep times, momentary ratings of evening sleepiness, and subjective measures of sleepiness and sleep quality. Results: Among the 102 participants (54 female [52.9%]; mean [SD] age, 15.6 [1.1] years), 72 were enrolled in phase 1 and 30 were enrolled in phase 2. Mixed-effects models revealed that light therapy alone was inadequate in changing the timing of sleep. However, compared with sham therapy plus CBT alone, light therapy plus CBT significantly moved sleep onset a mean (SD) of 50.1 (27.5) minutes earlier and increased nightly total sleep time by a mean (SD) of 43.3 (35.0) minutes. Light therapy plus CBT also resulted in a 7-fold greater increase in bedtime compliance than that observed among participants receiving sham plus CBT (mean [SD], 2.21 [3.91] vs 0.29 [0.76]), as well as a mean 0.55-point increase in subjective evening sleepiness as compared with a mean 0.48-point decrease in participants receiving sham plus CBT as measured on a 7-point sleepiness scale. Conclusions and Relevance: This study found that light exposure during sleep, in combination with a brief, motivation-focused CBT intervention, was able to consistently move bedtimes earlier and increase total sleep time in teenagers. This type of passive light intervention in teenagers may lead to novel therapeutic applications. Trial Registration: ClinicalTrials.gov identifier: NCT01406691. |
Address |
Stanford Center for Sleep Sciences and Medicine, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California |
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2574-3805 |
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PMID:31553469 |
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no |
Call Number |
GFZ @ kyba @ |
Serial |
2683 |
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Author |
Roman, M.O.; Stokes, E.C.; Shrestha, R.; Wang, Z.; Schultz, L.; Carlo, E.A.S.; Sun, Q.; Bell, J.; Molthan, A.; Kalb, V.; Ji, C.; Seto, K.C.; McClain, S.N.; Enenkel, M. |
Title |
Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria |
Type |
Journal Article |
Year |
2019 |
Publication |
PloS one |
Abbreviated Journal |
PLoS One |
Volume |
14 |
Issue |
6 |
Pages  |
e0218883 |
Keywords |
Remote Sensing |
Abstract |
A real-time understanding of the distribution and duration of power outages after a major disaster is a precursor to minimizing their harmful consequences. Here, we develop an approach for using daily satellite nighttime lights data to create spatially disaggregated power outage estimates, tracking electricity restoration efforts after disasters strike. In contrast to existing utility data, these estimates are independent, open, and publicly-available, consistently measured across regions that may be serviced by several different power companies, and inclusive of distributed power supply (off-grid systems). We apply the methodology in Puerto Rico following Hurricane Maria, which caused the longest blackout in US history. Within all of the island's settlements, we track outages and recovery times, and link these measures to census-based demographic characteristics of residents. Our results show an 80% decrease in lights, in total, immediately after Hurricane Maria. During the recovery, a disproportionate share of long-duration power failures (> 120 days) occurred in rural municipalities (41% of rural municipalities vs. 29% of urban municipalities), and in the northern and eastern districts. Unexpectedly, we also identify large disparities in electricity recovery between neighborhoods within the same urban area, based primarily on the density of housing. For many urban areas, poor residents, the most vulnerable to increased mortality and morbidity risks from power losses, shouldered the longest outages because they lived in less dense, detached housing where electricity restoration lagged. The approach developed in this study demonstrates the potential of satellite-based estimates of power recovery to improve the real-time monitoring of disaster impacts, globally, at a spatial resolution that is actionable for the disaster response community. |
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Harvard Humanitarian Initiative, Cambridge, Massachusetts, United States of America |
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1932-6203 |
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PMID:31251791 |
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no |
Call Number |
GFZ @ kyba @ |
Serial |
2564 |
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Author |
Andrade-Pacheco, R.; Savory, D.J.; Midekisa, A.; Gething, P.W.; Sturrock, H.J.W.; Bennett, A. |
Title |
Household electricity access in Africa (2000-2013): Closing information gaps with model-based geostatistics |
Type |
Journal Article |
Year |
2019 |
Publication |
PloS one |
Abbreviated Journal |
PLoS One |
Volume |
14 |
Issue |
5 |
Pages  |
e0214635 |
Keywords |
Remote Sensing |
Abstract |
Household electricity access data in Africa are scarce, particularly at the subnational level. We followed a model-based Geostatistics approach to produce maps of electricity access between 2000 and 2013 at a 5 km resolution. We collated data from 69 nationally representative household surveys conducted in Africa and incorporated nighttime lights imagery as well as land use and land cover data to produce maps of electricity access between 2000 and 2013. The information produced here can be an aid for understanding of how electricity access has changed in the region during this 14 year period. The resolution and the continental scale makes it possible to combine these data with other sources in applications in the socio-economic field, both at a local or regional level. |
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Malaria Elimination Initiative, Institute for Global Health Sciences, UCSF, San Francisco, CA, United States of America |
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1932-6203 |
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PMID:31042727; PMCID:PMC6493706 |
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no |
Call Number |
GFZ @ kyba @ |
Serial |
2531 |
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Author |
Bharti, N.; Tatem, A.J. |
Title |
Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria |
Type |
Journal Article |
Year |
2018 |
Publication |
Scientific Data |
Abbreviated Journal |
Sci Data |
Volume |
5 |
Issue |
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Pages  |
180256 |
Keywords |
Remote Sensing |
Abstract |
Dynamic measures of human populations are critical for global health management but are often overlooked, largely because they are difficult to quantify. Measuring human population dynamics can be prohibitively expensive in under-resourced communities. Satellite imagery can provide measurements of human populations, past and present, to complement public health analyses and interventions. We used anthropogenic illumination from publicly accessible, serial satellite nighttime images as a quantifiable proxy for seasonal population variation in five urban areas in Niger and Nigeria. We identified population fluxes as the mechanistic driver of regional seasonal measles outbreaks. Our data showed 1) urban illumination fluctuated seasonally, 2) corresponding population fluctuations were sufficient to drive seasonal measles outbreaks, and 3) overlooking these fluctuations during vaccination activities resulted in below-target coverage levels, incapable of halting transmission of the virus. We designed immunization solutions capable of achieving above-target coverage of both resident and mobile populations. Here, we provide detailed data on brightness from 2000-2005 for 5 cities in Niger and Nigeria and detailed methodology for application to other populations. |
Address |
WorldPop, Department of Geography and Environment, University of Southampton; Flowminder Foundation, Southampton, SO17 1BJ, UK |
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2052-4463 |
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PMID:30422123; PMCID:PMC6233255 |
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no |
Call Number |
GFZ @ kyba @ |
Serial |
2769 |
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Author |
Yonezawa, T.; Uchida, M.; Tomioka, M.; Matsuki, N. |
Title |
Lunar Cycle Influences Spontaneous Delivery in Cows |
Type |
Journal Article |
Year |
2016 |
Publication |
PloS one |
Abbreviated Journal |
PLoS One |
Volume |
11 |
Issue |
8 |
Pages  |
e0161735 |
Keywords |
Moonlight; Animals |
Abstract |
There is a popular belief that the lunar cycle influences spontaneous delivery in both humans and cattle. To assess this relationship, we investigated the synodic distribution of spontaneous deliveries in domestic Holstein cows. We used retrospective data from 428 spontaneous, full-term deliveries within a three-year period derived from the calving records of a private farm in Hokkaido, Japan. Spontaneous birth frequency increased uniformly from the new moon to the full moon phase and decreased until the waning crescent phase. There was a statistically significant peak between the waxing gibbous and full moon phases compared with those between the last quarter and the waning crescent. These changes were clearly observed in deliveries among multiparous cows, whereas they were not evident in deliveries among nulliparous cows. These data suggest the utility of dairy cows as models for bio-meteorological studies, and indicate that monitoring lunar phases may facilitate comprehensive understanding of parturition. |
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Department of Veterinary Medical Sciences, The University of Tokyo, Tokyo, Japan |
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1932-6203 |
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PMID:27580019; PMCID:PMC5006988 |
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GFZ @ kyba @ |
Serial |
2082 |
Permanent link to this record |