Littoral Environnement et Sociétés (LIENSs), UMR 7266, CNRS-Université de La Rochelle, 2 Rue Olympe de Gouges, 17042, La Rochelle Cedex 01, France. tamas.malkocs@gmail.com.
Pál Juhász-Nagy Doctoral School of Biology and Environmental Sciences, University of Debrecen, Egyetem tér 1, 4032, Debrecen, Hungary. tamas.malkocs@gmail.com.
Institute of Biology and Ecology, University of Debrecen, Egyetem tér 1, 4032, Debrecen, Hungary. tamas.malkocs@gmail.com.
Institute of Aquatic Ecology, Centre for Ecological Research, 4026, Debrecen, Hungary. tamas.malkocs@gmail.com.
Ctedra Diversidad Animal I and Laboratorio de Virologa y Gentica Molecular; Facultad de Ciencias Naturales y Ciencias de la Salud; Universidad Nacional de la Patagonia San Juan Bosco; 9 de Julio y Belgrano s/n; 9100 Trelew; Chubut; ARGENTINA. jgloreley@gmail.com.
Museo Argentino de Ciencias Naturales Bernardino Rivadavia; Av. ngel Gallardo 470; C1405DJR Ciudad Autnoma de Buenos Aires; ARGENTINA. gpastorino@macn.gov.ar.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: gsmedley@iastate.edu.
Department of Zoology, University of São Paulo, Rua do Matão, Travessa 14, n. 101, 05508-090 São Paulo, SP, Brazil. Electronic address: jorgeaudino@ib.usp.br.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: courtney.grula@ndsu.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: aporathk@umn.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: apairett@iastate.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: aalejand@whittier.edu.
Faculty of Science, Health, Education, and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland 4558, Australia. Electronic address: felicity.masters@research.usc.edu.au.
Faculty of Science, Health, Education, and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland 4558, Australia. Electronic address: pduncan@usc.edu.au.
Department of Invertebrate Zoology, National Museum of National History, Smithsonian Institution, 10th and Constitution Ave NW, Washington, DC 20560, USA. Electronic address: StrongE@si.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: serb@iastate.edu.
Rates of poor sleep and hypertension are alarming worldwide. In this study, we investigate the association between sleeping difficulties and sleep duration with hypertension risk in women....
Sixty-six thousand one hundred twenty-two participants of the Nurses' Health Study 2, who were free of hypertension at baseline (2001), were followed prospectively for 16 years and incident hypertensi...
During follow-up, we documented 25 987 incident cases of hypertension. After controlling for demographic and lifestyle risk factors, compared with women who slept 7 to 8 hours, women with shorter slee...
Difficulty falling or staying asleep and short sleep duration were associated with higher risk of hypertension among women in our study. Screening for poor sleep could be useful in identifying people ...
To review the literature examining the relationship between sleep and cognition, specifically examining the sub-domain of executive function. We explore the impact of sleep deprivation and the importa...
Sleep duration and executive function display a quadratic relationship. This suggests an optimal amount of sleep is required for daily cognitive processes. Poor sleep efficiency and sleep fragmentatio...
Current evidence points to the importance of sleep for adolescent physical and mental health. To date, most studies have examined the association between sleep duration/quality and health in adolescen...
We aimed to establish the optimal cutoffs of sleep timing and duration to assess obesity, hypertension (HTN), diabetes mellitus (DM), dyslipidemia (DL), and metabolic syndrome (MetS) using data from t...
In this cross-sectional study, data from 18,677 participants (8,107 men and 10,570 women) aged 19 or over were used. A receiver operating characteristic (ROC) curve adjusted for potential confounding ...
Bedtime between 9:00 PM to 0:30 AM for men and 10:00 PM to 11:00 PM for women is appropriate for assessing obesity, HTN, DM, DL, and MetS. The cutoff range was 9:00 PM to 11:00 PM for men ≥65 years an...
Bedtime between 10:00 PM to 11:00 PM, early MSFsc, and short sleep durations were appropriate for assessing CVD risk factors....
Sleep characteristics may potentially affect the hormonal environment related to follicular degeneration. The present study aimed to examine the association between sleep duration and the onset of men...
We conducted a prospective study among 3,090 premenopausal Japanese women aged 35 to 56 years derived from participants in the Takayama Study. Habitual sleep duration was determined by a self-administ...
During the 10 follow-up years, 1,776 women experienced natural menopause. Sleep duration of ≤6 hours was significantly associated with decreased hazard ratio of menopause (0.88; 95% confidence interva...
The data suggest that short sleep duration is associated with later onset of menopause....
To determine whether longitudinal trajectories of nighttime sleep duration and daytime napping duration are related to subsequent multimorbidity risk. To explore whether daytime napping can compensate...
The current study included 5262 participants from China Health and Retirement Longitudinal Study. Self-reported nighttime sleep duration and daytime napping duration were collected from 2011 to 2015. ...
During 6.69 years of follow-up, we observed multimorbidity in 785 participants. Three nighttime sleep duration trajectories and three daytime napping duration trajectories were identified. Participant...
In this study, persistent short nighttime sleep duration trajectory was associated with subsequent multimorbidity risk. Daytime napping could compensate for the risk of insufficient night sleep....
This cross-sectional study aimed to evaluate whether weekday sleep duration, weekend catch-up sleep, and risk of obstructive sleep apnea are individually and in combination associated with handgrip st...
Data from the Korea National Health and Nutrition Examination Survey 2019, including weekday sleep duration, weekend catch-up sleep, STOP-BANG scores, relative handgrip strength (handgrip strength div...
After adjusting for other sleep parameters and confounding variables, each adequate sleep parameter individually and collectively was associated with high relative handgrip strength (adjusted odds rat...
Adequate weekday sleep duration, weekend catch-up sleep, and low obstructive sleep apnea risk were individually and in combination associated with high handgrip strength....
Depressive symptoms have become one of the most common mental health problems in adolescents. Identifying potential factors associated with adolescent depressive symptoms could be practical and essent...
A total of 7330 participants aged 10-19 years were included in this study. Sleep duration was categorized into <7 h, 7-8 h, 8-9 h, and ≥ 9 h per day. The Chinese version of the Center for Epidemiology...
Thirty-four percent of the participants suffered from depressive symptoms. The prevalence of depressive symptoms in adolescents with sleep durations of <7 h, 7-8 h, 8-9 h, and ≥9 h per day was 52.66 %...
Long sleep duration is independently associated with a decreased risk of depressive symptoms in Chinese adolescents....
Insomnia with objective short sleep duration has been proposed as the most biologically severe phenotype of the disorder associated with cardiometabolic morbidity in population-based samples. In this ...
Several recent global events may have impacted adolescent sleep and exacerbated pre-existing disparities by social positions (i.e., social roles, identity or sociodemographic factors, and/or group mem...
Cross-sectional analyses were conducted using self-reported data collected during 2020-2021 (the first full school year after the COVID-19 pandemic onset) from 52,138 students (mean [SD] age = 14.9 [1...
Females reported a mean [95% CI] difference of -1.7 [-3.7, 0.4] min/day less sleep on weekdays than males, but 7.1 [4.5, 9.6] min/day more sleep on weekends, resulting in no difference in average dail...
Differences in sleep duration and quality were most profound among adolescents from the lowest and highest SES. Racial disparities were more evident on weekdays. Compensatory weekend sleep appears mor...
