Rémy Hurdiel

Rémy Hurdiel

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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PBPauline Baron
Pauline Baron
Eric HermandEric Hermand
Eric Hermand
VBvalentin bourlois
valentin bourlois
TPThierry Pezé
Thierry Pezé
CAChristophe Aron
Christophe Aron
RHRémy Hurdiel
Rémy Hurdiel
Background: Exercise represents a viable non-pharmacological intervention to help treating insomnia but the interaction mechanisms between sleep and physical activity still remain poorly understood. The aim of this study was to investigate the effect of a aerobic exercise training intervention on sleep and core temperature. Methods: Twenty-four adult women suffering from insomnia participated in this study. They were randomized into an exercise group and a control group. Aerobic exercise training consisted in moderate to vigorous aerobic exercise training for 12 weeks. Outcome measures included both subjective (Insomnia Severity Index, ISI) and objective (actigraphy recordings) sleep quality assessments, and core body temperature continuously recorded for a minimum 24 h. Results: The exercise group showed a decrease in ISI (p < 0.001) and in various objective sleep parameters. The core temperature batyphase value was lowered (p = 0.037) whereas its amplitude was larger (p = 0.002). We also found a tight correlation between the evolution of insomnia and the evolution of mean night-time core temperature and batyphase values. Conclusions: A moderate to vigorous aerobic exercise program appears to be an effective non-drug therapy for improving sleep in women with insomnia. In addition, exercise programs should aim to increase core body temperature during practice to induce sleep-promoting adaptations and rebound.

3 July 2018 in Research in Sports Medicine
Verified
Journal Article
Closed access
RHRémy Hurdiel
Rémy Hurdiel
SRSamantha M. Riedy
Samantha M. Riedy
GMGregoire P. Millet
Gregoire P. Millet
BMBenoit Mauvieux
Benoit Mauvieux
TPThierry Pezé
Thierry Pezé
GDGrégory Dupont
Grégory Dupont
Ninety-two runners completed the study during a 168 km mountain ultramarathon (MUM). Sleepiness, self-reported sleep duration, and cognitive performance were assessed the day before the race and up to eight checkpoints during the race. Sleepiness was assessed using the Karolinska Sleepiness Scale. Cognitive performance was also assessed using the Digital Symbol Substitution Task (DSST). Runner reported 23.40 ± 22.20 minutes of sleep (mean ± SD) during the race (race time: 29.38 to 46.20 hours). Sleepiness and cognitive performance decrements increased across this race, and this was modulated by time-of-day with higher sleepiness and greater performance decrements occurring during the early morning hours. Runners who slept on the course prior to testing had poorer cognitive performance, which may suggest that naps on the course were taken due to extreme exertion. This study provides evidence that cognitive performance deficits and sleepiness in MUM are sensitive to time into race and time-of-day.

IBIrina Brumboiu
Irina Brumboiu
Alessandro PorrovecchioAlessandro Porrovecchio
Alessandro Porrovecchio
TPThierry Peze
Thierry Peze
RHRémy Hurdiel
Rémy Hurdiel
IIIrina Iaru
Irina Iaru
MTMarie Pierre Tavolacci
Marie Pierre Tavolacci
This cross-sectional study aimed to determine the use of neuroenhancers, the motivations and factors associated with their use in French and Romanian university students. Students from two universities in France (Rouen and Opal Coast University) and one in Romania (Cluj-Napoca) were asked to complete a self-administered anonymous questionnaire, either online or on paper, about the use of three different categories of substance: Prescription drugs (methylphenidate, modafinil, and beta-blockers), drugs of abuse (alcohol, cannabis, cocaine, and amphetamines), and soft enhancers (coffee, vitamins, caffeine tablets, and energy drinks). In total, 1110 students were included: The users were 2.2% for prescription drugs, 4.3% for drugs of abuse, and 55.0% for soft enhancers. Students used neuroenhancement to stay awake for study (69.3%), to improve concentration (55.5%), to decrease stress (40.9%), and to improve memory (39.6%). Neuroenhancement was considered to meet expectations by 74.4% of users. The factors associated with the use of drugs of abuse were frequent binge drinking (Adjusted Odds Ratio—AOR: 6.49 [95% CI: 2.53–16.6]), smoking (AOR: 5.50 [95% CI: 2.98–10.14]), having a student job (AOR: 2.42 [95% CI 1.13–5.17]), and being male (AOR: 2.23 [95% CI:1.21–4.11]). No significant associations with eating disorders were detected for any of the three categories of substances. University students reported neuroenhancement with prescription drugs, drugs of abuse, and mainly soft enhancers. These substances were used mainly to increase the waking hours. Educational programs in universities seem to be required in order to increase student awareness of the problems caused by neuroenhancements, and to decrease the associated risks by changing students’ attitudes and beliefs.

1 February 2026 in Journal of Sleep Research
Verified
Journal Article
Open access
RHRémy Hurdiel
Rémy Hurdiel
CKCourtney Kurinec
Courtney Kurinec
TPThierry Pezé
Thierry Pezé
CBCharlotte Bonduelle
Charlotte Bonduelle
VBValentin Bourlois
Valentin Bourlois
For athletes in endurance sports, who compete over several days and in unpredictable conditions, managing sleep–wake rhythms is critical to ensure optimal performance and minimise the risks to safety. Despite its growing popularity, the role of sleep management on ultracycling performance has received little attention. We analysed the sleep strategies of ultracyclists to better understand (1) how sleep strategies and durations are related to race time and (2) how sleep debt and circadian timing are related to subjective sleepiness and cognitive performance. Twenty‐three cyclists completed the study. To track cyclists' sleep, participants wore a wrist‐worn accelerometer throughout a long‐distance endurance cycling competition. From before the race start until the end, participants rated their sleepiness every 4 h. They also completed a cognitive task at basecamp on five occasions (before start, 620 km, 1438 km, 2066 km and after crossing the finish line). We observed that participants with higher mean sleep times per 24 h finished with higher race rankings. Perceived sleepiness was greater for those who slept less than 5.29 h per day on average, showing a distinct 24 h rhythm. In addition, cognitive performance was worse and response times were slower for those who slept less across days. The findings from this study demonstrate that sleep duration and timing are imperative for preserving physical and cognitive well‐being during ultracycling races. Adopting sleep timing strategies, particularly ones that align sleep with homeostatic and circadian drives for sleep, may improve athletes' ultracycling performance.