Effect of 8-h time-restricted feeding on sleep quality and duration in adults with obesity

This study examined the effects of time-restricted feeding (TRF; 8-h feeding window/16-h fasting window daily) on sleep. Obese adults (n = 23) followed 8-h TRF for 12 weeks. Pittsburgh Sleep Quality Index (PSQI) total score was below 5 at week 1 (4.7 ± 0.5) and week 12 (4.8 ± 0.7), indicating good sleep quality throughout the trial. Subjective measures of wake time, bedtime, and sleep duration remained unchanged. Findings from this secondary analysis indicate that TRF does not alter sleep quality or duration in subjects with obesity. Novelty This study is the first to show that TRF (8-h feeding window/16-h fasting window daily) does not alter sleep quality or duration in subjects with obesity.

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Quality of sleep of the aged at home and in hospital

Texto & Contexto - Enfermagem ◽

10.1590/0104-07072014000190013 ◽

2014 ◽

Vol 23 (2) ◽

pp. 356-364

Author(s):

Natália Tonon Monteiro ◽

Maria Filomena Ceolim

Keyword(s):

Sleep Quality ◽

Quality Index ◽

Pittsburgh Sleep Quality Index ◽

The Elderly ◽

Poor Quality ◽

University Hospital ◽

Quality Of Sleep ◽

Good Sleep ◽

At Home

The objective of this study was to describe the quality of sleep of aged individuals at home and in hospital. Descriptive study, conducted in the wards of a university hospital in São Paulo, Brazil, with 160 individuals (57.5% men, mean age 69.8 years) admitted for a period between 48 hours to five days, who were able to answer the instruments. The Pittsburgh Sleep Quality Index was used at home and a visual analog scale of sleep in the hospital. This scale indicated satisfactory sleep quality and moderate daytime sleepiness. The Pittsburgh Sleep Quality Index indicated poor quality of sleep at home (69.4%), more particularly sleep fragmentation for the majority of subjects. Data indicating poor quality of sleep at home emphasize the need for assessing the quality of sleep of the elderly, especially its fragmentation, as well as the need for studies that give support to practices that promote good sleep quality during hospitalization, aiming at clinical recovery.

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Sleep Quality in the Withdrawal of Medical Members from Wuhan Using the Pittsburgh Sleep Quality Index

10.21203/rs.3.rs-76229/v1 ◽

2020 ◽

Author(s):

Chen Li ◽

Yang Liu ◽

Wei Xu ◽

Changjing Zhang ◽

Yezhou Shen ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Duration ◽

Quality Index ◽

Pittsburgh Sleep Quality Index ◽

Virus Disease ◽

Hubei Province ◽

Team Members ◽

Corona Virus

Abstract Objective: The main purpose of this paper is to investigate sleep quality in the withdrawal of medical members dispatched to control the Corona Virus Disease 2019(COVID-19) outbreak in Wuhan, Hubei province, China. Methods: Forty-seven medical members (including twenty medical members treating mild COVID-19, seventeen medical members treating severe COVID-19 and ten logistics team members) completed questionnaire using Pittsburgh Sleep Quality Index. Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality of the medical members. Results: A total of forty-seven medical members participated in the sleep quality survey. The PSQI total scores are 5.6±4.3, 11.0±5.0 and 3.4±2.0 in treating mild COVID-19, treating severe COVID-19 and logistics team members, respectively. Medical members treating patients with severe COVID-19 had significantly higher PSQI total scores than those who facing up to the patients with mild COVID-19 and logistics team members. (P<0.005). The components of PSQI such as sleep duration and sleep medications were significantly higher in medical members treating patients with severe COVID-19 than those who facing up to the patients with mild COVID-19 and logistics team members (P<0.005). The components of PSQI such as sleep quality and daytime dysfunction were worse in medical members treating patients with severe COVID-19 than logistics team members (P<0.005).Conclusions: Findings indicate that medical members treating patients with severe COVID-19 had worse sleep quality than who facing up to the patients with mild COVID-19 and logistics team members.

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Regular Practice of Competitive Sports Does Not Impair Sleep in Adolescents: DADOS Study

Pediatric Exercise Science ◽

10.1123/pes.2017-0129 ◽

2018 ◽

Vol 30 (2) ◽

pp. 229-236 ◽

Cited By ~ 5

Author(s):

María Reyes Beltran-Valls ◽

Enrique García Artero ◽

Ana Capdevila-Seder ◽

Alejandro Legaz-Arrese ◽

Mireia Adelantado-Renau ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Duration ◽

Quality Index ◽

Pittsburgh Sleep Quality Index ◽

Poor Quality ◽

Poor Sleep ◽

Short Sleep Duration ◽

Cross Sectional ◽

Sport Practice ◽

Sport Events

Purpose:To analyze differences in sleep quality and duration by athletic status and sex, and to examine the association between physical activity (PA) recommendation and sleep in adolescents.Methods:A total of 267 adolescents [13.9 (0.3) y] from Deporte, ADOlescencia y Salud (DADOS) study (129 girls) were included in this cross-sectional analysis. Athletes competed regularly in organized sport events and trained ≥3 days per week, but nonathletes did not compete. PA was assessed by GENEActiv accelerometer. PA values were dichotomized into inactive (<60 min/d of moderate and vigorous PA) and active (≥60 min/d of moderate and vigorous PA). Sleep quality was evaluated with the Spanish version of the Pittsburgh Sleep Quality Index. Pittsburgh Sleep Quality Index values were dichotomized into >5 (poor quality) or ≤5 (good quality). Sleep duration was objectively measured by accelerometer.Results:Sleep quality and duration were not statistically different between athletes [median (Mdn) = 4.0, interquartile range (IQR) = 3.0–6.0 and Mdn = 8.0, IQR = 7.4–8.6 h, respectively] and nonathletes (Mdn = 5.0, IQR = 3.0–7.0 and Mdn = 7.9; IQR = 7.3–8.6 h, respectively), P > .05. Nonathlete or inactive adolescents did not show higher risk for poor sleep quality or short sleep duration than athletes [odds ratio (OR) = 1.17; 95% confidence interval (CI), 0.68–2.00 and OR = 0.93; 95% CI, 0.56–1.55, respectively] or active peers (OR = 1.39; 95% CI, 0.66–2.89 and OR = 1.62; 95% CI, 0.78–3.37, respectively).Conclusions:In our group of adolescents, competitive sport practice did not alter sleep patterns. PA recommendations for adolescents may not discriminate between good and poor sleepers.

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Concepções e qualidade do sono entre pré-universitários

ARCHIVES OF HEALTH INVESTIGATION ◽

10.21270/archi.v8i8.4650 ◽

2019 ◽

Vol 8 (8) ◽

Author(s):

Juliana Irani Fratucci de Gobbi ◽

Ivan da Silva Beteto ◽

Alexandre Prata Martins ◽

Havy Alexssander Abrami Meirelles ◽

Silke Anna Tereza Weber

Keyword(s):

Risk Factor ◽

Sleep Quality ◽

Sleep Duration ◽

Daytime Sleepiness ◽

Rio De Janeiro ◽

Quality Index ◽

Pittsburgh Sleep Quality Index ◽

Sleep Hygiene ◽

Short Sleep Duration ◽

Short Sleep

Vários estudos apontam para uma relação entre má qualidade do sono e fatores de risco para doenças crônicas, como por exemplo, depressão e obesidade. Estudantes pré-universitários são mais susceptíveis ao estresse podendo impactar a qualidade do sono. Nosso objetivo foi avaliar conhecimentos prévios do senso comum sobre o sono, bem como a qualidade do sono em estudantes pré-universitários. A pesquisa foi aprovada pelo CEP local (parecer: 2.368.256). Para tanto foram empregados três questionários autoaplicáveis: 1) mitos e verdades sobre o sono, desenvolvido para o estudo, 2) escala de sonolência de Epworth e 3) índice de qualidade do sono de Pittsburgh. Esta pesquisa foi realizada antes das palestras e atividades de divulgação científica de um evento de extensão universitária para difusão sobre neurociêncais. Responderam aos questionários 112 estudantes. Os resultados demonstraram falta de conhecimentos adequados sobre o tema sono, sendo que 58,92% dos entrevistados entendem que bebidas alcóolicas ajudam no sono, um mito na nossa cultura. Em adição, 70% desta população apresenta qualidade ruim de sono. Desta forma, nossos resultados apontam que apesar de jovens esta faixa da população já apresenta problemas relacionados à qualidade do sono, e ignoram alguns conhecimentos sobre o tema. Nossa intenção foi despertar, através da divulgação de conhecimentos, a busca por alternativas que melhorem esta qualidade. Durante o evento foram disseminadas ideias sobre a higiene do sono para esta população.Descritores: Qualidade do Sono; Questionários; Neurociências; Difusão de Conhecimentos.ReferênciasBear MF, Connors BW, Paradiso M. A. Neurociências: desvendando o sistema nervoso. 3. ed. Porto Alegre: Artmed, 2007. 586-616p.Tufik S, Andersen ML, Pinto Jr LR. Sono e sonhos, In: Lent R (ed). Neurociência da mente e do comportamento. Rio de Janeiro: Guanabara Koogan; 2008.Riemann D, Voderholzer U. Primary insomnia: a risk factor to develop depression? J Affect Disord.2003;76(1-3):255-59Greenland P, Knoll MD, Stamler J, Neaton JD, Dyer AR, Garside DB et al. Major risk factors as antecedents of fatal and nonfatal coronary heart disease events. JAMA. 2003;290(7):891-97.Watanabe M, Kikuchi H, Tanaka K, Takahashi M. Association of short sleep duration with weight gain and obesity at 1-year follow-up: a large-scale prospective study. Sleep. 2010;33(2):161-67.Spiegel K, Knutson K, Leproult R, Tasali E, Van Cauter E. Sleep loss: a novel risk factor for insulin resistance and Type 2 diabetes. J Appl Physiol. 1985;99(5):2008-19.Vgontzas AN, Liao D, Bixler EO, Chrousos GP, Vela-Bueno A. Insomnia with objective short sleep duration is associated with a high risk for hypertension. Sleep. 2009;32(4):491-97.Fossum IN, Nordnes LT, Storemark SS, Bjorvatn B, Pallesen S. The association between use of electronic media in bed before going to sleep and insomnia symptoms, daytime sleepiness, morningness, and chronotype. Behav Sleep Med. 2014;12(5):343-57.Freitas CCM, Gozzoli ALDM, Konno JN, Fuess VLR. Relação entre uso do telefone celular antes de dormir, qualidade do sono e sonolência diurna. Rev Med (São Paulo). 2017;96(1):14-20.Poyares D, Tufik S. I Consenso Brasileiro de Insônia: introdução. Hypnos. 2003:5-45.Guilleminault C, Brooks SN. Exccessive daytime sleepness: a challenge for the practising neurologist. Brain. 2001;124(8):1482-91.Peruzzo AS, Cattani BC, Guimarães ER, Boechat L deC, Argimon II deL, Scarparo HBK. Estresse e vestibular como desencadeadores de somatizações em adolescentes e adultos jovens. Psicol Argum. 2008;26(55):319-27.Rodrigues DG, Pelisoli C. Ansiedade em vestibulandos: um estudo exploratório. Rev psiquiatr clín. 2008;35(5):171-77.Fragel-Madeira L, Aranha G. Divulgação e alfabetização científica: o papel do pesquisador na difusão do conhecimento científico. In: Aranha G, Sholl-Franco A (org). Caminhos da Neuroeducação. 2.ed: Rio de Janeiro: Ciências e Cognição. p.119-28; 2012.Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14(6):540-45.Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res.1989;28(2):193-213.Bertolazi AN, Fagondes SC, Hoff LS, Pedro VD, Mena Barreto SS, Johns MW et al. Validação da escala de sonolência de Epworth em português para uso no Brasil. J Bras Pneumol. 2009; 35(9):877-83.Bertolazi AN, Fagondes SC, Hoff LS, Dartora EG, Miozzo IC, de Barba ME. Validation of the Brazilian Portuguese version of the Pittsburgh Sleep Quality Index. Sleep Med. 2011;12(1):70-5.Morgenthaler T, Kramer M, Alessi C, Friedman L, Boehlecke B, Brown T et al. Practice parameters for the psychological and behavioral treatment of insomnia: An update. an American academy of sleep medicine report. Sleep. 2011;29(11):1415-19.Passos GS, Tufik S, Santana MG, Poyares D, Mello MT. Tratamento não farmacológico para a insônia crônica. Rev Bras Psiquiatr. 2007;29(3):279-82.Ebrahim IO, Shapiro CM, Williams AJ, Fenwick PB. Alcohol and sleep I: effects on normal sleep. Alcohol Clin Exp Res. 2013;37(4):539-49.Irish LA, Kline CE, Gunn HE, Buysse DJ, Hall MH. et al. The role of sleep hygiene in promoting public health: A review of empirical evidence. Sleep Med Rev. 2015;22:23-36.Carvalho TMCS, Silva Junior II, Siqueira PPS, Almeida JO, Soares AF, Lima AMJ. Qualidade do sono e sonolência diurna entre estudantes universitários de diferentes áreas. Rev Neurocienc. 2013;21(3):383-87.Corrêa CC, Oliveira FK, Pizamiglio DS, Ortolan EVP, Weber SAT. Qualidade de sono em estudantes de medicina: comparação das diferentes fases do curso. J Bras Pneumol. 2017;43(4):285-89.Vasconcelos HCA, Fragoso LVC, Marinho NBP, Araújo MFM, Freitas RWJF, Zanetti ML et al. Correlação entre indicadores antropométricos e a qualidade do sono universitários brasileiros. Rev Esc Enferm USP. 2013;47(4):852-59.Ferreira C, Ferreira H, Vieira MJ, Costeira M, Branco L, Dias A et al. Epidemiologia do uso de internet numa população adolescente e sua relação com hábitos de sono. Acta Med Port. 2017;30(7-8):524-33.Peter ID, Adamu H, Asani MO, Aliyu I, Sabo UA, Umar UI. Sleep pattern and sleep hygiene practices among nigerian schooling adolescents. Indian J Psychol Med. 2017;39(4):407-12.

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Validation of the Pittsburgh Sleep Quality Index Addendum for Posttraumatic Stress Disorder (PSQI-A) in U.S. Male Military Veterans

Journal of Traumatic Stress ◽

10.1002/jts.21793 ◽

2013 ◽

Vol 26 (2) ◽

pp. 192-200 ◽

Cited By ~ 35

Author(s):

Salvatore P. Insana ◽

Martica Hall ◽

Daniel J. Buysse ◽

Anne Germain

Keyword(s):

Posttraumatic Stress Disorder ◽

Sleep Quality ◽

Posttraumatic Stress ◽

Quality Index ◽

Stress Disorder ◽

Pittsburgh Sleep Quality Index ◽

Military Veterans

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621 Association of E-cigarette and Tobacco Use with Adolescent Sleep Quality

SLEEP ◽

10.1093/sleep/zsab072.619 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A244-A244

Author(s):

Clare Malhotra ◽

Deepti Gunge ◽

Ira Advani ◽

Shreyes Boddu ◽

Sedtavut Nilaad ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Duration ◽

Sleep Latency ◽

Depression Scale ◽

Mean Difference ◽

Dual Use ◽

Safe Alternative ◽

Wake Time ◽

Patient Health ◽

Targeted Marketing

Abstract Introduction Recently, targeted marketing has encouraged teen e-cigarette vaping. Although e-cigarettes are often presented as a safe alternative to conventional tobacco, their toxicity is unclear. In adults, we have previously observed a link between dual usage of e-cigarettes and tobacco with increased sleep latency. We hypothesized an association between dual usage and increased sleep latency. Methods Participants were recruited to complete social media surveys. We performed three surveys: Survey 1 (n=47) in 2018, Survey 2 (n=1198) in 2019, and Survey 3 (n=564) in 2020. Surveys 1 and 2 had three sections: past and current inhalant use, the Pittsburgh Sleep Quality Index (PSQI), and the Leicester Cough Questionnaire (LCQ). Survey 3 did not include the LCQ, instead including the Hospital Anxiety and Depression Scale (HADS) and Patient Health Questionnaire (PHQ9). The adolescent data (aged 13–20 years; n=609) were isolated. Results Adolescents reported an increase in sleep duration with increasing age by one-way ANOVA. Males reported no change with increasing age, while, by Tukey’s multiple comparisons test, females got significantly more sleep at ages 19 and 20 than at age 14(p<0.01). There was no significant correlation between inhalant use and sleep duration. When broken down by gender, female dual users slept more than female nonsmokers,(p=0.01; mean difference=43.8 minutes; CI=0.11 to 1.36), while there was no difference in males. We observed a significant association between inhalant use and sleep(p=0.0008), with dual use correlated with a longer sleep latency than nonsmokers (mean difference=6.27 minutes; CI=1.40 to 11.13. We saw no correlation between inhalant use and anxiety or depression, nor between inhalant use and cough severity and prevalence. Conclusion In female adolescents, we observed a peak in sleep hours at age 19 but significantly less sleep in fourteen-year olds. College-aged females may have a later wake time relative to middle-school and high-school aged females. Dual inhalant use in females was associated with a long sleep duration, raising concern for sleep disruption caused by dual use. Dual use’s association with increased sleep latency raises concern for nicotine-induced wakefulness. Further data are required in order to define public health strategies. Support (if any) LCA is supported by NIH.

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The effect of 4-h versus 6-h time restricted feeding on sleep quality, duration, insomnia severity and obstructive sleep apnea in adults with obesity

Nutrition and Health ◽

10.1177/02601060211002347 ◽

2021 ◽

pp. 026010602110023

Author(s):

Sofia Cienfuegos ◽

Kelsey Gabel ◽

Faiza Kalam ◽

Mark Ezpeleta ◽

Vicky Pavlou ◽

...

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Sleep Quality ◽

Sleep Onset ◽

Control Group ◽

Sleep Onset Latency ◽

Restricted Feeding ◽

Wake Time ◽

Obstructive Sleep ◽

Insomnia Severity

Background: Time restricted feeding (TRF) involves deliberately restricting the times during which energy is ingested. Preliminary findings suggest that 8–10-h TRF improves sleep. However, the effects of shorter TRF windows (4–6 h) on sleep, remain unknown. Aims: This study compared the effects of 4-h versus 6-h TRF on sleep quality, duration, insomnia severity and the risk of obstructive sleep apnea. Methods: Adults with obesity ( n = 49) were randomized into one of three groups: 4-h TRF (eating only between 3 and 7 p.m.), 6-h TRF (eating only between 1 and 7 p.m.), or a control group (no meal timing restrictions) for 8 weeks. Results: After 8 weeks, body weight decreased ( p < 0.001) similarly by 4-h TRF (–3.9 ± 0.4 kg) and 6-h TRF (–3.4 ± 0.4 kg), versus controls. Sleep quality, measured by the Pittsburgh Sleep Quality Index (PSQI), did not change by 4-h TRF (baseline: 5.9 ± 0.7; week 8: 4.8 ± 0.6) or 6-h TRF (baseline: 6.4 ± 0.8; week 8: 5.3 ± 0.9), versus controls. Wake time, bedtime, sleep duration and sleep onset latency also remained unchanged. Insomnia severity did not change by 4-h TRF (baseline: 4.4 ± 1.0; week 8: 4.7 ± 0.9) or 6-h TRF (baseline: 8.3 ± 1.2; week 8: 5.5 ± 1.1), versus controls. Percent of participants reporting obstructive sleep apnea symptoms did not change by 4-h TRF (baseline: 44%; week 8: 25%) or 6-h TRF (baseline: 47%; week 8: 20%), versus controls. Conclusion: These findings suggest that 4- and 6-h TRF have no effect on sleep quality, duration, insomnia severity, or the risk of obstructive sleep apnea.

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Availability of a Flavored Beverage and Impact on Children’s Hydration Status, Sleep, and Mood

Nutrients ◽

10.3390/nu13061757 ◽

2021 ◽

Vol 13 (6) ◽

pp. 1757

Author(s):

Michael R. Szymanski ◽

Gabrielle E. W. Giersch ◽

Margaret C. Morrissey ◽

Courteney L. Benjamin ◽

Yasuki Sekiguchi ◽

...

Keyword(s):

Sleep Quality ◽

Quality Index ◽

Pittsburgh Sleep Quality Index ◽

Intervention Group ◽

Urine Osmolality ◽

Urine Specific Gravity ◽

Hydration Status ◽

Control Group ◽

Profile Of Mood States ◽

Urine Color

Euhydration remains a challenge in children due to lack of access and unpalatability of water and to other reasons. The purpose of this study was to determine if the availability/access to a beverage (Creative Roots®) influences hydration in children and, therefore, sleep quality and mood. Using a crossover investigation, 46 participants were randomly assigned to a control group (CON) or an intervention group and received Creative Roots® (INT) for two-week periods. We recorded daily first morning and afternoon urine color (Ucol), thirst perception, and bodyweight of the two groups. Participants reported to the lab once per week and provided first morning urine samples to assess Ucol, urine specific gravity (USG), and urine osmolality (Uosmo). Participants also completed the questionnaires Profile of Mood States-Adolescents (POMS-a) and Pittsburgh Sleep Quality Index (PSQI). Dependent t-tests were used to assess the effects of the intervention on hydration, mood, and sleep quality. Uosmo was greater and Ucol was darker in the control group (mean ± SD) [Uosmo: INT = 828 ± 177 mOsm·kg−1, CON = 879 ± 184 mOsm·kg−1, (p = 0.037], [Ucol:INT = 5 ± 1, CON = 5 ± 1, p = 0.024]. USG, POMS-a, and PSQI were not significant between the groups. At-home daily afternoon Ucol was darker in the control group [INT = 3 ± 1, CON = 3 ± 1, p = 0.022]. Access to Creative Roots® provides a small, potentially meaningful hydration benefit in children. However, children still demonstrated consistent mild dehydration based on Uosmo, despite consuming the beverage.

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Clinical Efficacy of a New Robot-assisted Gait Training System for Acute Stroke Patients

Journal of Medical and Biological Engineering ◽

10.1007/s40846-020-00590-z ◽

2021 ◽

Author(s):

Andy Chien ◽

Fei-Chun Chang ◽

Nai-Hsin Meng ◽

Pei-Yu Yang ◽

Ching Huang ◽

...

Keyword(s):

Sleep Quality ◽

Acute Stroke ◽

Quality Index ◽

Pittsburgh Sleep Quality Index ◽

Gait Training ◽

Training System ◽

Control Group ◽

Stroke Patients ◽

Robot Assisted ◽

Significant Difference

Abstract Purpose Robot-assisted gait rehabilitation has been proposed as a plausible supplementary rehabilitation strategy in stroke rehabilitation in the last decade. However, its exact benefit over traditional rehabilitation remain sparse and unclear. It is therefore the purpose of the current study to comparatively investigate the clinical benefits of the additional robot-assisted training in acute stroke patients compared to standard hospital rehabilitation alone. Methods Ninety acute stroke patients (< 3 month) were recruited. All participants received the standard hospital neurorehabilitation comprises 45–60 min sessions daily for 3 weeks. Sixty patients also received an additional 30 min of robot-assisted gait training with the HIWIN MRG-P100 gait training system after each of the standard neurorehabilitation session. Outcome measures included: 1. Berg Balance Scale (BBS); 2. Brunnstrom Stage; 3. Pittsburgh Sleep Quality Index and 4. Taiwanese Depression Questionnaire (TDQ) which were assessed pre-treatment and then after every five training sessions. Results Both groups demonstrated significant improvement pre- and post-treatment for the BBS (robotic group p = 0.023; control group p = 0.033) but no significant difference (p > 0.1) between the groups were found. However, the robotic training group had more participants demonstrating larger BBS points of improvement as well as greater Brunnstrom stage of improvement, when compared to the control group. No significant within and between group statistical differences (p > 0.3) were found for Pittsburgh Sleep Quality Index and Taiwanese Depression Questionnaire. Conclusion The addition of robotic gait training on top of standard hospital neurorehabilitation for acute stroke patients appear to produce a slightly greater improvement in clinical functional outcomes, which is not transferred to psychological status.

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