Oskar G. Jenni

ORCID: 0000-0002-4561-6277
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About
Contact & Profiles
Research Areas
  • Sleep and Wakefulness Research
  • Sleep and related disorders
  • Infant Development and Preterm Care
  • Infant Health and Development
  • Children's Physical and Motor Development
  • Neuroscience of respiration and sleep
  • Circadian rhythm and melatonin
  • Child Nutrition and Feeding Issues
  • Child and Adolescent Health
  • Early Childhood Education and Development
  • EEG and Brain-Computer Interfaces
  • Obesity, Physical Activity, Diet
  • Cerebral Palsy and Movement Disorders
  • Health and Medical Studies
  • Child and Adolescent Psychosocial and Emotional Development
  • Attention Deficit Hyperactivity Disorder
  • Genetics and Neurodevelopmental Disorders
  • Cognitive Abilities and Testing
  • Neural dynamics and brain function
  • Neonatal Respiratory Health Research
  • Sociology and Education Studies
  • Birth, Development, and Health
  • Functional Brain Connectivity Studies
  • Neonatal and fetal brain pathology
  • Child and Animal Learning Development

University Children's Hospital Zurich
2015-2024

Child Development Center
2011-2024

University of Zurich
2012-2024

Deutsche Akademie für Kinder- und Jugendmedizin
2024

Metropolitan University
2023

Swiss Integrative Center for Human Health
2009-2019

Boston Children's Hospital
2005-2018

Ostschweizer Kinderspital
2017

ETH Zurich
2016

University of Fribourg
2016

Objective. The main purpose of the present study was to calculate percentile curves for total sleep duration per 24 hours, nighttime and daytime from early infancy late adolescence illustrate developmental course age-specific variability these variables among subjects.Methods. A 493 subjects Zurich Longitudinal Studies were followed using structured sleep-related questionnaires at 1, 3, 6, 9, 12, 18, months after birth then annual intervals until 16 years age. Gaussian percentiles ages 3...

10.1542/peds.111.2.302 article EN PEDIATRICS 2003-02-01

To examine the effects of total sleep deprivation on adolescent and electroencephalogram (EEG) to study aspects homeostasis.Subjects were studied during baseline recovery after 36 hours wakefulness.Four-bed research laboratory.Seven prepubertal or early pubertal children (pubertal stage Tanner 1 2 = 1/2; mean age 11.9 years, SD +/- 0.8, boys) 6 mature adolescents (Tanner 5; 14.2 1.4, boys).Thirty-six deprivation.All-night polysomnography was performed. EEG power spectra (C3/A2) calculated...

10.1093/sleep/28.11.1446 article EN SLEEP 2005-11-01

Evidence that electroencephalography (EEG) slow-wave activity (SWA) (EEG spectral power in the 1–4.5 Hz band) during non-rapid eye movement sleep (NREM) reflects plastic changes is increasing (Tononi and Cirelli, 2006). Regional assessment of gray matter development from neuroimaging studies reveals a posteroanterior trajectory cortical maturation first three decades life (Shaw et al., 2008). Our aim was to test whether this regional reflected SWA. We evaluated all-night high-density EEG...

10.1523/jneurosci.2532-10.2010 article EN cc-by-nc-sa Journal of Neuroscience 2010-10-06

<h3>Objectives</h3> To describe sleep-wake patterns in kindergarten children by measures derived from questionnaire, diary, and actigraphy to report rates of agreement between methods according Bland Altman. <h3>Design</h3> Cross-sectional study, data 7 nights actigraph recordings sleep diary a questionnaire. <h3>Setting</h3> Children studied their homes. <h3>Participants</h3> Fifty children, aged 4 years. <h3>Main Outcome Measures</h3> Sleep start, end, assumed sleep, actual time, nocturnal...

10.1001/archpedi.162.4.350 article EN Archives of Pediatrics and Adolescent Medicine 2008-04-01

PurposeAdolescents prefer sleep and wake times that are considerably delayed compared with younger children or adults. Concomitantly, multimedia use in the evening is prevalent among teenagers involves light exposure, particularly blue-wavelength range to which biological clock its associated arousal promotion system most sensitive. We investigated whether of blue light–blocking glasses (BB) during evening, while sitting front a light-emitting diode (LED) computer screen, favors initiating...

10.1016/j.jadohealth.2014.08.002 article EN other-oa Journal of Adolescent Health 2014-10-04

Deep (slow wave) sleep shows extensive maturational changes from childhood through adolescence, which is reflected in a decrease of depth measured as the activity electroencephalographic (EEG) slow waves. This paralleled by massive synaptic remodeling during adolescence observed anatomical studies, supports notion that represents sensitive period for cortical maturation. To assess relationship between slow-wave (SWA) and maturation, we acquired EEG magnetic resonance imaging data children...

10.1093/cercor/bhq129 article EN Cerebral Cortex 2010-07-12

Sleep tendency (latency to sleep onset) was examined during extended waking in prepubertal and mature adolescents determine whether pressure is lower near bedtime the latter group. Participants were nine (pubertal stage Tanner 1, mean age 11.1 years, SD+/-1.3 five males) 11 pubertally (Tanner 5, 13.9+/-1.2 three males). They spent 10 nights at home on an identical fixed 10-h schedule followed by a 36-h constant routine with latency tests 2-h intervals using standard polysomnography. Saliva...

10.1111/j.1365-2869.2005.00467.x article EN Journal of Sleep Research 2005-08-25

Objective. To study age trends, long-term course and secular changes of bed-sharing practices, sleep problems among Swiss families. Methods. A total 493 children were longitudinally followed between 1974 2001 by using structured sleep-related interviews at 1, 3, 6, 9, 12, 18, 24 months after birth annual intervals thereafter until 10 years age. Parents queried about bed sharing, night wakings, bedtime resistance, sleep-onset difficulties during the 3 before each follow-up interview. Results....

10.1542/peds.2004-0815e article EN PEDIATRICS 2005-01-01

To describe developmental changes of the human sleep electroencephalogram (EEG) during adolescence using EEG spectral analysis and specifically to compare nocturnal dynamics slow-wave activity (EEG power 0.6-4.6 Hz, a marker for homeostatic pressure) in prepubertal mature adolescents. After 10 nights on fixed 10-hour schedule without daytime naps, participants were studied baseline night. Data collected 4-bed research laboratory. Eight children (pubertal stage Tanner 1; mean age 11.3 years,...

10.1093/sleep/27.4.774 article EN SLEEP 2004-06-01

Individual differences in circadian phase preference ("chronotype") are linked to sleep schedule variability, psychosocial functioning, and specific properties of the clock. While much is known about development, distribution, variability chronotype adolescents adults, assessment prepubertal children has been hindered by a lack appropriate, reliable, valid measures. This study presents detailed description children's Children's ChronoType Questionnaire (CCTQ). The CCTQ parent-report, 27-item...

10.1080/07420520903044505 article EN Chronobiology International 2009-01-01

The development of nocturnal sleep and the electroencephalogram (EEG) was investigated in a longitudinal study during infancy. All-night polysomnographic recordings were obtained at home 2 wk 2, 4, 6, 9 mo after birth (analysis 7 infants). Total time percentage quiet or non-rapid eye movement (QS/NREMS) increased with age, whereas active rapid (AS/REMS) decreased. Spectral power EEG higher QS/NREMS than AS/REMS over large part 0.75- to 25-Hz frequency range. In both AS/REMS, age range <10 Hz...

10.1152/ajpregu.00503.2003 article EN AJP Regulatory Integrative and Comparative Physiology 2004-02-04

Adolescent Sleep Patterns: Biological, Social, and Psychological Influences edited by Mary A. Carskadon, Cambridge University Press, 2002, 297 pp, $60.00 (hardcover). A consequence of the growth sleep medicine research is number textbooks that attempt to describe complexity diversity sleep, a behavioral state takes up one third our lives. Far fewer books, however, have dealt with during development. Patterns Dr. Director E. P. Bradley Hospital Research Laboratory in Providence, Rhode Island,...

10.1097/00004703-200310000-00013 article EN Journal of Developmental & Behavioral Pediatrics 2003-10-01

OBJECTIVE. Our goal was to describe the variability of sleep duration (time in bed per 24 hours) healthy children from 1 10 years age comparison with growth measures. METHODS. A total 305 were followed structured sleep-related interviews and measurements height weight 12, 18, months after birth then at annual intervals until age. SD scores calculated, smooth curves fitted by smoothing splines through scores. The long-term channel within (units score) defined as difference between maximum...

10.1542/peds.2006-3300 article EN PEDIATRICS 2007-10-01

Slow waves, a major electrophysiological characteristic of non-rapid eye movement sleep, undergo prominent changes across puberty. This study provides detailed description sleep slow waves prepubertal children and mature adolescents to better understand the mechanisms underlying decrease activity in slow-wave frequency range All-night electroencephalographic recordings were performed for baseline after deprivation. N/A. Eight (Tanner 1/2, 11.9 ± 0.8 years, 3 boys) 6 4/5,14.3 1.4 boys)....

10.1093/sleep/33.4.475 article EN SLEEP 2010-04-01

To investigate the within-subject stability in sleep EEG and association between intellectual abilities 9- to 12-year-old children.Intellectual ability (WISC-IV, full scale, fluid, verbal IQ, working memory, speed of processing) were examined all-night polysomnography was performed (2 nights per subject).Sleep laboratory.Fourteen healthy children (mean age 10.5 ± 1.0 years; 6 girls).Spectral analysis on artifact-free NREM epochs (C3/A2). determine intra-individual inter-individual...

10.1093/sleep/34.2.181 article EN SLEEP 2011-02-01

Identifying ways to promote physical activity and decrease sedentary time during childhood is a key public health issue. Research on the putative influences preschool children's (PA) behavior (SB) limited has yielded inconsistent results. Our aim was identify correlates of PA SB in children. Cross-sectional data were drawn from Swiss Preschoolers' Health Study (SPLASHY), population-based cohort study. Of 476 two six year old children, 394 (54% boys) had valid assessed by accelerometry....

10.1186/s12966-016-0456-9 article EN cc-by International Journal of Behavioral Nutrition and Physical Activity 2017-01-05

<h3>Importance</h3> Although negative associations of COVID-19 pandemic high school closures with adolescents' health have been demonstrated repeatedly, some research has reported a beneficial association these sleep. The present study was, to our knowledge, the first combine both perspectives. <h3>Objective</h3> To investigate between sleep and health-related characteristics during in Switzerland. <h3>Design, Setting, Participants</h3> This survey used cross-sectional online surveys...

10.1001/jamanetworkopen.2021.42100 article EN cc-by-nc-nd JAMA Network Open 2022-01-05
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