Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literature
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
6 authors.
Andrew W McHillSleep, Chronobiology, and Health Laboratory, School of Nursing, Oregon Health & Science University, Portland, OR 97239, USA.
Akane SanoDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA.
Laura K BargerDivision of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA.
Andrew J K PhillipsDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA.
Charles A CzeislerDivision of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA.
Elizabeth B KlermanDivision of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA.
Funding
Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
TRANSPLANTATION ANALYSIS OF CIRCADIAN RHYTHMS AND AGINGP01AG009975 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI CZEISLER, CHARLES A · 1991 to 2018
$23.1M
TRAINING IN SLEEP, CIRCADIAN &RESPIRATORY NEUROBIOLOGYT32HL007901 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Charles A Czeisler · 1998 to 2026
$18.5M
Influence of sleep regularity on circadian rhythms, learning, performance, and moodR01HL128538 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI KLERMAN, ELIZABETH B. · 2016 to 2019
$3.6M
Sleep duration required to restore performance during chronic sleep restrictionR01HL114088 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI KLERMAN, ELIZABETH B. · 2012 to 2015
$3.1M
Testing Effects of Melatonin on Uterine Contractions in WomenR01HD107064 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI KLERMAN, ELIZABETH B. · 2022 to 2025
$3.0M
Uncovering the Impact of Diet on the Human Circadian Timing SystemR01HL156948 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI MCHILL, ANDREW WILLIAM · 2022 to 2025
$2.5M
Multi-scale modeling of sleep behaviors in social networksR01GM105018 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI CZEISLER, CHARLES A, KLERMAN, ELIZABETH B. · 2013 to 2017
$2.4M
Sleep Duration Required to Restore Performance during Chronic Sleep RestrictionK24HL105664 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI KLERMAN, ELIZABETH B. · 2010 to 2019
$1.8M
Impact of sex and age on non-visual light input that affects sleep and circadian rhythmsR01HL166205 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI KLERMAN, ELIZABETH B. · 2023 to 2025
$1.6M
Integration of sleep/wake network models across multiple temporal and spatial scaR00HL119618 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI PHILLIPS, ANDREW JOHN · 2015 to 2017
$742k
Effects of Light and Melatonin on Contractions in Pregnant WomenR21HD086392 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI KLERMAN, ELIZABETH B. · 2016 to 2017
Adaptation of the circadian clock to the environment is essential for optimal health, well-being, and performance. Animal models demonstrate that a high-fat diet impairs circadian adaptation to advances of the light-dark cycle; it is unknown whether this occurs in humans. Utilizing a natural experiment that occurs when humans must advance their behaviors to an earlier hour for daylight saving time (DST), we measured the influence of diet on sleep/wake timing relative to dim-light melatonin onset time. Students with a lower-fat diet rapidly altered their sleep-wake timing to match the imposed time change, whereas those with a high-fat diet were slower to adapt to the time change. Moreover, a faster shift in timing after DST was associated with higher general health, lower body mass index, and higher grade point average. These data suggest that diet may influence the speed of sleep and circadian adaptation, which could have implications for health and performance.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Adaptation of sleep to daylight saving time is slower in people consuming a high-fat diet. · full record | OpenQuestion