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Šuc A, Einfalt L, Šarabon N, Kastelic K. Validity and reliability of self-reported methods for assessment of 24-h movement behaviours: a systematic review. Int J Behav Nutr Phys Act 2024; 21:83. [PMID: 39095778 PMCID: PMC11295502 DOI: 10.1186/s12966-024-01632-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 07/23/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Time spent in sleep, sedentary behaviour (SB), and physical activity are exhaustive and mutually exclusive parts of a 24-h day that need to be considered in a combination. The aim of this study was to identify validated self-reported tools for assessment of movement behaviours across the whole 24-h day, and to review their attributes and measurement properties. METHODS The databases PubMed, Scopus, and SPORTDiscus were searched until September 2023. Inclusion criteria were: (i) published in English language, (ii) per-reviewed paper, (iii) assessment of self-reported time spent in sleep, SB, and physical activity, (iv) evaluation of measurement properties of all estimates across the full 24-h day, and (v) inclusion of adolescents, adults, or older adults. The methodological quality of included studies was assessed using the Consensus-based Standards for the selection of health Measurement Instruments checklist. RESULTS Our search returned 2064 records. After studies selection, we included 16 articles that reported construct validity and/or test-retest reliability of 12 unique self-reported tools - eight questionnaires, three time-use recalls, and one time-use diary. Most tools enable assessment of time spent in sleep, and domain-specific SB and physical activity, and account that sum of behaviours should be 24 h. Validity (and reliability) correlation coefficients for sleep ranged between 0.22 and 0.69 (0.41 and 0.92), for SB between 0.06 and 0.57 (0.33 and 0.91), for light-intensity physical activity between 0.18 and 0.46 (0.55 and 0.94), and for moderate- to vigorous-intensity physical activity between 0.38 and 0.56 (0.59 and 0.94). The quality of included studies being mostly fair-to-good. CONCLUSIONS This review found that only a limited number of validated self-reported tools for assessment of 24-h movement behaviours are currently available. Validity and reliability of most tools are generally adequate to be used in epidemiological studies and population surveillance, while little is known about adequacy for individual level assessments and responsiveness to behavioural change. To further support research, policy, and practice, there is a need to develop new tools that resonate with the emerging 24-h movement paradigm and to evaluate measurement properties by using compositional data analysis. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42022330868.
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Affiliation(s)
- Anja Šuc
- Faculty of Health Sciences, University of Primorska, Izola, Slovenia
| | - Lea Einfalt
- Faculty of Health Sciences, University of Primorska, Izola, Slovenia
| | - Nejc Šarabon
- Faculty of Health Sciences, University of Primorska, Izola, Slovenia
- InnoRenew CoE, Izola, Slovenia
| | - Kaja Kastelic
- InnoRenew CoE, Izola, Slovenia.
- Andrej Marušič Institute, University of Primorska, Koper, Slovenia.
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Sobol M, Błachnio A, Meisner M, Szyszkowska J, Jankowski KS. Sleep, circadian activity patterns and postpartum depression: A systematic review and meta-analysis of actigraphy studies. J Sleep Res 2024; 33:e14116. [PMID: 38095248 DOI: 10.1111/jsr.14116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/15/2023] [Accepted: 11/14/2023] [Indexed: 01/16/2024]
Abstract
Transition to motherhood is a period full of challenges and demands. In this review, we focused on the associations of sleep and circadian activity patterns during and after pregnancy with postpartum mental health factors. A systematic review and meta-analysis were conducted (PROSPERO reference 316,505). A search for articles was performed using PsycARTICLES, PsycINFO, PubMed, MEDLINE, Scopus, Cochrane, DARE, hand search, and citation tracking. The search was meant to identify peer-reviewed, experimental and observational studies reporting on women over 18 years old that assessed sleep and circadian activity patterns during pregnancy or postpartum using actigraphy, and investigated postpartum mental health factors. Nineteen relevant publications were selected. Postpartum total sleep at night was the indicator that was most closely related to the psychological functioning of women after childbirth. The results of the systematic review indicated that postpartum total sleep at night was related to postpartum fatigue, and the results of the meta-analysis suggested that total sleep at night was most strongly linked with postpartum depression. More studies are needed to estimate the associations of sleep-wake rhythm during pregnancy and in the postpartum period with postpartum mental health factors.
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Affiliation(s)
| | - Agata Błachnio
- Department of Psychology, Catholic University of Lublin, Lublin, Poland
| | - Michał Meisner
- Department of Psychology, University of Warsaw, Warsaw, Poland
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Zhao M, You Y, Gao X, Li L, Li J, Cao M. The effects of a web-based 24-hour movement behavior lifestyle education program on mental health and psychological well-being in parents of children with autism spectrum disorder: A randomized controlled trial. Complement Ther Clin Pract 2024; 56:101865. [PMID: 38824831 DOI: 10.1016/j.ctcp.2024.101865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/29/2024] [Accepted: 05/29/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND AND PURPOSE Compared with parents of neurotypical children or children diagnosed with other disabilities, parents of children with autism spectrum disorder (ASD) often experience poorer mental health, greater stress, and more depression and anxiety symptoms. This study aimed to assess the effects of a web-based 24-h movement behavior lifestyle education program on mental health and psychological well-being in parents of children with ASD. METHODS This study employed a randomized controlled trial utilizing the Health Action Process Approach (HAPA) as a theoretical framework. A total of 318 parents of children with ASD were enrolled and randomly assigned to the experimental or control group. The experimental group received an 8-week web-based 24-h movement behavior lifestyle education program, while the control group followed their usual routine. Two instruments, the Depression Anxiety and Stress Scale (DASS-21) and the Satisfaction With Life Scale (SWLS), were used to measure mental health and psychological well-being, respectively. The data were collected at two time points-at the beginning and the end of the intervention. RESULTS Compared with the baseline and control groups, the experimental group demonstrated significant improvements in all outcome measures (p < 0.01). There were significant differences in the DASS-21 and SWLS scores between the two groups before and after the intervention (p ≤ 0.01). CONCLUSION This study represents the first randomized controlled trial involving a web-based 24-h movement behavior lifestyle education program specifically designed to address the mental health and psychological well-being of parents of children with ASD. The findings confirm the potential impact of 24-h movement behavior lifestyle education as a functional and effective strategy for parents of children with ASD.
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Affiliation(s)
- Mengxian Zhao
- School of Physical Education, Shenzhen University, Shenzhen, 518060, China
| | - Yonghao You
- Department of Sports Science, Hefei Normal University, Hefei, 230061, China
| | - Xinsong Gao
- School of Physical Education, Shenzhen University, Shenzhen, 518060, China
| | - Linlin Li
- School of Sports Social Science, Shandong Sport University, Jinan, 250102, China
| | - Jiayun Li
- School of Physical Education, Shenzhen University, Shenzhen, 518060, China
| | - Meng Cao
- School of Physical Education, Shenzhen University, Shenzhen, 518060, China.
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Shigaki L, Cardoso LDO, Silva-Costa A, Barreto SM, Giatti L, Fonseca MDJMD, Griep RH. [Is socioeconomic residential segregation associated with sleep problems? Insights from ELSA-Brasil]. CAD SAUDE PUBLICA 2024; 40:e00111323. [PMID: 39082497 PMCID: PMC11290826 DOI: 10.1590/0102-311xpt111323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 12/21/2023] [Accepted: 01/29/2024] [Indexed: 08/02/2024] Open
Abstract
Several factors influence sleep, which is essential for health. While the role of neighborhood socioeconomic context on sleep health has been studied in recent years, results are inconsistent. The study aimed to investigate the association between socioeconomic residential segregation and sleep problems, using data from the second evaluation (2012-2014) of 9,918 public servants participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Socioeconomic residential segregation was assessed using the Getis-Ord Local Gi* statistic. Sleep duration and deprivation, complaints of insomnia, and daytime sleepiness were obtained through interviews. Binomial and multinomial logistic regression models were used to estimate the odds ratio (OR). Regarding sleep, 49% had short duration and 3% long duration, 23% reported complaints of insomnia, 45% sleep deprivation, 42% daytime sleepiness, and 48% reported ≥ 2 sleep problems. In the model adjusted for demographic and socioeconomic variables, there was an association between high socioeconomic residential segregation and short sleep duration (OR = 1.22; 95%CI: 1.07; 1.40), sleep deprivation (OR = 1.20; 95%CI: 1.05; 1.37), daytime sleepiness (OR = 1.17; 95%CI: 1.03; 1.34) and ≥ 2 associated sleep problems (OR = 1.24; 95%CI: 1.08; 1.41). Individuals living in neighborhoods with high socioeconomic residential segregation are more likely to have short sleep duration, sleep deprivation, daytime sleepiness, and ≥ 2 associated sleep problems. This information reinforces that public policy measures to reduce socioeconomic inequalities can improve the population's sleep health.
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Affiliation(s)
- Leonardo Shigaki
- Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil
| | | | | | - Sandhi Maria Barreto
- Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brasil
| | - Luana Giatti
- Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brasil
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Baljak GR, Marnie C, Clarke J, Peters MD, Matricciani L. Extent, range, and nature of studies examining sleep in nurses: a scoping review protocol. JBI Evid Synth 2024:02174543-990000000-00328. [PMID: 38956973 DOI: 10.11124/jbies-23-00281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
OBJECTIVE This scoping review aims to comprehensively map the extent, range, and nature of studies that examine the various dimensions of nurses' sleep across all health care settings or countries. INTRODUCTION Over the past 2 decades, the importance of sleep for nurses has gained increasing attention from health care administrators, researchers, and policymakers. Despite growing research in the area, it remains unclear as to how research on sleep in nurses aligns with emerging concepts in sleep medicine more broadly, particularly in terms of how outcomes and predictors are associated with different dimensions of sleep. INCLUSION CRITERIA This review will include primary studies that examine nurses' sleep. All dimensions of sleep (eg, duration, timing, variability, quality, and common disorders) and all nurses, irrespective of career stage, will be considered for inclusion. METHODS This review will utilize the JBI methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRIMSA-ScR). Databases to be searched include MEDLINE (Ovid), Emcare, Embase, PsycINFO, and Scopus. A 3-step search strategy will be undertaken to identify primary studies published in English with no date limit. The data extracted will include specific details about the nursing population, sleep dimension, outcome measures, methodology, and key findings. Figurative, tabular, and accompanying narrative synthesis will be used to present the results in line with the review questions. REVIEW REGISTRATION Open Science Framework https://osf.io/rzc4m.
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Affiliation(s)
- Gabriele Raine Baljak
- Rosemary Bryant AO Research Centre, UniSA Clinical and Health Sciences, The University of South Australia, Adelaide, SA, Australia
- Clinical and Health Sciences, The University of South Australia, Adelaide, SA, Australia
| | - Casey Marnie
- Rosemary Bryant AO Research Centre, UniSA Clinical and Health Sciences, The University of South Australia, Adelaide, SA, Australia
- National Policy Research Unit, Australian Nursing and Midwifery Federation (Federal Office), Adelaide, SA, Australia
| | - Jarrod Clarke
- Rosemary Bryant AO Research Centre, UniSA Clinical and Health Sciences, The University of South Australia, Adelaide, SA, Australia
- National Policy Research Unit, Australian Nursing and Midwifery Federation (Federal Office), Adelaide, SA, Australia
| | - Micah Dj Peters
- Rosemary Bryant AO Research Centre, UniSA Clinical and Health Sciences, The University of South Australia, Adelaide, SA, Australia
- National Policy Research Unit, Australian Nursing and Midwifery Federation (Federal Office), Adelaide, SA, Australia
- Health Evidence Synthesis, Recommendations and Impact (HESRI), School of Public Health, The University of Adelaide, Adelaide, SA, Australia
- School of Nursing, Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
- The Centre for Evidence-based Practice South Australia (CEPSA): A JBI Centre of Excellence, The University of Adelaide, Adelaide, South Australia, Australia
| | - Lisa Matricciani
- Rosemary Bryant AO Research Centre, UniSA Clinical and Health Sciences, The University of South Australia, Adelaide, SA, Australia
- Clinical and Health Sciences, The University of South Australia, Adelaide, SA, Australia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), The University of South Australia, Adelaide, SA, Australia
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Kuriyama K. Social determinants of sleep quality: association between sleep quality and living environment among older individuals. Sleep Biol Rhythms 2024; 22:301-302. [PMID: 38962797 PMCID: PMC11217249 DOI: 10.1007/s41105-024-00533-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Affiliation(s)
- Kenichi Kuriyama
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo 187-8553 Japan
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Matricciani L, Dumuid D, Stanford T, Maher C, Bennett P, Bobrovskaya L, Murphy A, Olds T. Time use and dimensions of healthy sleep: A cross-sectional study of Australian children and adults. Sleep Health 2024; 10:348-355. [PMID: 38199899 DOI: 10.1016/j.sleh.2023.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 09/12/2023] [Accepted: 10/24/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND Sleep is increasingly recognized as a multidimensional construct that occurs within the 24-hour day. Despite advances in our understanding, studies continue to consider the relationship between sleep, sedentary time and physical activity separately, and not as part of the 24-hour day. AIMS To determine the association between the 24-hour activity composition and dimensions of healthy sleep. METHODS This study examined data on 1168 children (mean age 12years; 49% female) and 1360 adults (mean age 44years; 87% female) collected as part of the Child Health CheckPoint study. Participants were asked to wear a GENEActiv monitor (Activinsights, Cambs, UK) on their nondominant wrist for eight consecutive days to measure 24-hour time-use. Compositional data analysis was used to examine the association between time use (actigraphy-derived sleep duration, sedentary time, light physical activity and moderate-vigorous physical activity) and dimensions of healthy sleep. Healthy sleep was conceptualized in terms of continuity/efficiency, timing, alertness/sleepiness, satisfaction/quality, and regularity. Time allocations were also examined. RESULTS The 24-hour activity composition was significantly associated with all objectively measured and self-report dimensions of healthy sleep in both children and adults. Allocating more time to sleep was associated with earlier sleep onsets, later sleep offsets, less efficient and more consistent sleep patterns for both children and adults. CONCLUSION This study highlights the integral relationship between daily activities and dimensions of sleep. Considering sleep within the 24-hour day activity composition framework may help inform lifestyle decisions to improve sleep health.
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Affiliation(s)
- Lisa Matricciani
- Clinical & Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Rosemary Bryant AO Research Centre, University of South Australia, Adelaide, South Australia, Australia.
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Allied Health and Human Performance (AHHP), University of South Australia, Adelaide, South Australia, Australia; Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Ty Stanford
- Clinical & Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia
| | - Carol Maher
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Allied Health and Human Performance (AHHP), University of South Australia, Adelaide, South Australia, Australia
| | - Paul Bennett
- School of Nursing and Midwifery, Griffith Health, Griffith University, Brisbane, Queensland, Australia
| | - Larisa Bobrovskaya
- Health and Biomedical Innovation, Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Andrew Murphy
- Allied Health and Human Performance (AHHP), University of South Australia, Adelaide, South Australia, Australia
| | - Tim Olds
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Allied Health and Human Performance (AHHP), University of South Australia, Adelaide, South Australia, Australia; Murdoch Children's Research Institute, Parkville, Victoria, Australia
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Li Z, Zhou Y, Zhou G. A dual fusion recognition model for sleep posture based on air mattress pressure detection. Sci Rep 2024; 14:11084. [PMID: 38744916 PMCID: PMC11094194 DOI: 10.1038/s41598-024-61267-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 05/03/2024] [Indexed: 05/16/2024] Open
Abstract
In order to solve the difficult portability problem of traditional non-invasive sleeping posture recognition algorithms arising from the production cost and computational cost, this paper proposes a sleeping posture recognition model focusing on human body structural feature extraction and integration of feature space and algorithms based on a specific air-spring mattress structure, called SPR-DE (SPR-DE is the Sleep Posture Recognition-Data Ensemble acronym form). The model combines SMR (SMR stands for Principle of Spearman Maximal Relevance) with horizontal and vertical division based on the barometric pressure signals in the human body's backbone region to reconstruct the raw pressure data into strongly correlated non-image features of the sleep postures in different parts and directions and construct the feature set. Finally, the recognit-ion of the two sleep postures is accomplished using the AdaBoost-SVM integrated classifier. SPR-DE is compared with the base and integrated classifiers to verify its performance. The experimental results show that the amount of significant features helps the algorithm to classify different sleeping patterns more accurately, and the f1 score of the SPR-DE model determined by the comparison experiments is 0.998, and the accuracy can reach 99.9%. Compared with other models, the accuracy is improved by 2.9% ~ 7.7%, and the f1-score is improved by 0.029 ~ 0.076. Therefore, it is concluded that the SMR feature extraction strategy in the SPR-DE model and the AdaBoost-SVM can achieve high accuracy and strong robustness in the task of sleep posture recognition in a small area, low-density air-pressure mattress, taking into account the comfort of the mattress structural design and the sleep posture recognition, integrated with the mattress adaptive adjustment system.
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Affiliation(s)
- Zebo Li
- College of Information Science and Technology & College of Artificial Intelligence, Nanjing Forestry University, No.159 Longpan Road, Nanjing, 210037, Jiangsu, People's Republic of China
| | - Yipeng Zhou
- College of Information Science and Technology & College of Artificial Intelligence, Nanjing Forestry University, No.159 Longpan Road, Nanjing, 210037, Jiangsu, People's Republic of China
| | - Guoping Zhou
- College of Information Science and Technology & College of Artificial Intelligence, Nanjing Forestry University, No.159 Longpan Road, Nanjing, 210037, Jiangsu, People's Republic of China.
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Ylinen J, Häkkinen A, Kautiainen H, Multanen J. Preferences and Avoidance of Sleeping Positions Among Patients With Chronic Low Back Pain: A Cross-Sectional Study. Cureus 2024; 16:e59772. [PMID: 38846227 PMCID: PMC11153877 DOI: 10.7759/cureus.59772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/05/2024] [Indexed: 06/09/2024] Open
Abstract
Background Chronic low back pain (CLBP) is a common issue among the working-age population. Sleeping position may affect CLBP, with the prone position commonly suggested to be avoided. This study aims to examine the relationship between preferred and avoided sleeping positions and to explore the frequency of increased pain in various sleeping positions among patients with nonspecific CLBP and pain and disability levels. Methods This cross-sectional study included all adult patients referred for specialist consultation for CLBP at the outpatient clinic of the Central Hospital of Central Finland's spine department. Pain intensity was measured using a visual analog scale (VAS), and disability was assessed with the Oswestry Disability Index (ODI). Patients completed a questionnaire detailing the main sleeping positions and positions avoided due to low back pain (LBP). Results The study enrolled 375 consecutive patients, with a mean age of 51 ± 17 years; 64% (n=240) were female. The mean VAS score was 63 ± 24, and the mean Oswestry Index was 38 ± 18%. The majority of patients (87%, n=327) reported sleeping in a side-lying position, followed by supine (47%, n=176) and prone (22%, n=82) positions. A negative correlation was found between age and the preference for sleeping in the prone position. No significant gender differences in sleep positions were observed (p=0.69). Sleep was disturbed in 77% of patients (n=289) due to LBP, and 87% (n=327) reported difficulties due to LBP when getting up. Overall, 92% of participants (n=345) experienced difficulties sleeping or getting up in the morning due to LBP. Many patients avoided certain positions due to pain: 42% (n=157) avoided the prone position, 35% (n=131) the back, 15% (n=56) the left side, and 13% (n=49) the right side. Although the prone position was most commonly linked with pain, especially among women, our findings suggest that any sleeping position could potentially exacerbate pain in individuals with CLBP. Conclusions This study highlights the variability in how sleeping positions affect pain in patients with nonspecific CLBP. While the prone position is most frequently associated with increased pain, individual preferences and responses vary significantly, and often sidelying and supine positions provoke pain. The diversity in sleeping positions that exacerbate pain highlights the need for tailored advice in the management of patients with CLBP.
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Affiliation(s)
- Jari Ylinen
- Physical Therapy, Nova, Central Hospital of Central Finland, Jyväskylä, FIN
| | - Arja Häkkinen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FIN
| | | | - Juhani Multanen
- Health and Welfare, South-Eastern Finland University of Applied Sciences, Savonlinna, FIN
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Salinas-Roca B, Sánchez E, Bermúdez-López M, Valdivielso JM, Farràs-Sallés C, Pamplona R, Torres G, Mauricio D, Castro E, Fernández E, Hernández M, Rius F, Lecube A. Association between adherence to the mediterranean diet, physical activity, and sleep apnea-hypopnea syndrome (SAHS) in a middle-aged population with cardiovascular risk: Insights from the ILERVAS cohort. Sleep Med 2024; 116:19-26. [PMID: 38408422 DOI: 10.1016/j.sleep.2024.02.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/31/2024] [Accepted: 02/19/2024] [Indexed: 02/28/2024]
Abstract
INTRODUCTION Sleep Apnea-Hypopnea Syndrome (SAHS) is a common sleep disorder influenced by factors like age, gender, and obesity. The Mediterranean Diet (MedDiet) and physical activity have shown health benefits in lung diseases, but their effects on SAHS remain underexplored. METHODS In a cross-sectional analysis of 678 middle-aged individuals with low-to-moderate cardiovascular risk from the ILERVAS cohort, we assessed adherence to the MedDiet and physical activity levels using validated tools. Sleep parameters, SAHS severity, and excessive daytime sleepiness were evaluated through non-attended cardiorespiratory polygraphy and the Epworth Sleepiness Scale. Multinomial logistic regression models were employed to assess the relationship between MedDiet adherence, physical activity, and SAHS severity. RESULTS The prevalence of severe, moderate, and mild SAHS was 15.5%, 23.2% and 36.1%, respectively. We found no significant associations between adherence to the MedDiet, physical activity levels, and the presence or severity of SAHS. However, we noted a significant interaction between MedDiet and physical activity with minimum SpO2 values (p = 0.049). Notably, consuming more than one serving of red meat per day was independently associated with a higher risk of moderate SAHS [OR = 2.65 (1.29-5.44), p = 0.008]. CONCLUSION Individually, MedDiet adherence and physical activity did not show independent correlations with SAHS. However, when considered together, a minimal but significant effect on minimum SpO2 was observed. Additionally, red meat consumption was associated with a moderate risk of SAHS. Further research is necessary to comprehend the intricate connections between lifestyle factors and sleep-breathing disorders, with a focus on personalized approaches for high-risk populations.
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Affiliation(s)
- Blanca Salinas-Roca
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida. University of Lleida, Lleida, Spain; Facultat de Ciències de la Salut-Universitat Ramón Llull Blanquerna, Barcelona, Spain
| | - Enric Sánchez
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida. University of Lleida, Lleida, Spain
| | - Marcelino Bermúdez-López
- Vascular and Renal Translational Research Group, IRBLleida. Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), Lleida, Spain; Department of Experimental Medicine, IRBLleida, University of Lleida, Lleida, Spain
| | - José Manuel Valdivielso
- Vascular and Renal Translational Research Group, IRBLleida. Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), Lleida, Spain
| | - Cristina Farràs-Sallés
- Centre d'Atenció Primària Cappont. Gerència Territorial de Lleida, Institut Català de la Salut. Research Support Unit Lleida, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gorina (IDIAPJGol), Barcelona, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, IRBLleida, University of Lleida, Lleida, Spain
| | - Gerard Torres
- Respiratory Medicine Department, University Hospital Arnau de Vilanova and Santa María. Group of Translational Research in Respiratory Medicine, IRBLleida. University of Lleida, Lleida, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Dídac Mauricio
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau. Sant Pau Biomedical Research Institute (IIB Sant Pau). Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII). Madrid, Spain
| | - Eva Castro
- Vascular and Renal Translational Research Group, IRBLleida. Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), Lleida, Spain
| | - Elvira Fernández
- Vascular and Renal Translational Research Group, IRBLleida. Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), Lleida, Spain
| | - Marta Hernández
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida. University of Lleida, Lleida, Spain
| | - Ferran Rius
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida. University of Lleida, Lleida, Spain
| | - Albert Lecube
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida. University of Lleida, Lleida, Spain.
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Sutanto CN, Xia X, Heng CW, Tan YS, Lee DPS, Fam J, Kim JE. The impact of 5-hydroxytryptophan supplementation on sleep quality and gut microbiota composition in older adults: A randomized controlled trial. Clin Nutr 2024; 43:593-602. [PMID: 38309227 DOI: 10.1016/j.clnu.2024.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/26/2023] [Accepted: 01/12/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND & AIMS Sleep quality is a pivotal part of health and there is growing evidence on the association between gut microbiota composition and sleep quality. 5-Hydroxytryptophan (5-HTP) is known as a precursor of the sleep regulating neurotransmitter and hormone. However, efficacy of 5-HTP supplementation for improving sleep quality in older adults is unclear. Hence, the aim of this study is to assess the impact of 5-HTP supplementation on sleep quality and gut microbiota composition in older adults. METHODS This is a single-blinded, 12-week parallel randomized controlled trial. Thirty older adults (66 ± 3 years) in Singapore were randomly assigned to either consume or not consume 100 mg 5-HTP daily. Every 4 weeks, sleep quality was assessed via both subjective (Pittsburg Sleep Quality Index) and objective (actigraphy watch) measures. A global sleep score (GSS) was obtained from the PSQI, where a GSS>5 defines as poor sleeper while a GSS≤5 defines as good sleeper. Blood serotonin level, urine melatonin concentration, gut microbiota composition and stool short chain fatty acids (SCFA) content were assessed at week 0 and 12. This study was registered in clinicaltrials.gov as NCT04078724 (https://clinicaltrials.gov/ct2/show/NCT04078724). RESULTS 5-HTP supplementation showed an overall favorable effect on certain sleep quality components and an increase in serum serotonin concentration. In particular, at week 12, not good sleepers but poor sleepers with 5-HTP supplementation were able to significantly improve subjective GSS (ΔSL5-HTP: -2.80 ± 1.10 min, p-value = 0.005). In addition, they showed an increase in microbiota diversity (Simpson5-HTP vs. SimpsonControl: 0.037 ± 0.032 a.u. vs. -0.007 ± 0.022 a.u.; pinteraction: 0.013) and relative abundance of SCFA producing bacteria in the gut. CONCLUSIONS 5-HTP supplementation can improve certain sleep quality components in older adults and this benefit was more prominently observed in poor sleepers. 5-HTP was also able to improve the gut microbiota composition in poor sleepers.
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Affiliation(s)
- Clarinda Nataria Sutanto
- Department of Food Science and Technology, Faculty of Science, National University of Singapore, Science Drive 2, Singapore 117542, Singapore.
| | - Xuejuan Xia
- Department of Food Science and Technology, Faculty of Science, National University of Singapore, Science Drive 2, Singapore 117542, Singapore.
| | - Chin Wee Heng
- Department of Food Science and Technology, Faculty of Science, National University of Singapore, Science Drive 2, Singapore 117542, Singapore.
| | - Yue Shuian Tan
- Department of Food Science and Technology, Faculty of Science, National University of Singapore, Science Drive 2, Singapore 117542, Singapore.
| | - Delia Pei Shan Lee
- Department of Food Science and Technology, Faculty of Science, National University of Singapore, Science Drive 2, Singapore 117542, Singapore.
| | - Johnson Fam
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, 1E Kent Ridge Road Level 11, Singapore 119228, Singapore; Department of Psychiatry, Singapore General Hospital, Singhealth Academia Level 3, 20 College Road, Singapore 169856, Singapore.
| | - Jung Eun Kim
- Department of Food Science and Technology, Faculty of Science, National University of Singapore, Science Drive 2, Singapore 117542, Singapore.
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Haas A, Chung J, Kent C, Mills B, McCoy M. Vertebral Subluxation and Systems Biology: An Integrative Review Exploring the Salutogenic Influence of Chiropractic Care on the Neuroendocrine-Immune System. Cureus 2024; 16:e56223. [PMID: 38618450 PMCID: PMC11016242 DOI: 10.7759/cureus.56223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2024] [Indexed: 04/16/2024] Open
Abstract
In this paper we synthesize an expansive body of literature examining the multifaceted influence of chiropractic care on processes within and modulators of the neuroendocrine-immune (NEI) system, for the purpose of generating an inductive hypothesis regarding the potential impacts of chiropractic care on integrated physiology. Taking a broad, interdisciplinary, and integrative view of two decades of research-documented outcomes of chiropractic care, inclusive of reports ranging from systematic and meta-analysis and randomized and observational trials to case and cohort studies, this review encapsulates a rigorous analysis of research and suggests the appropriateness of a more integrative perspective on the impact of chiropractic care on systemic physiology. A novel perspective on the salutogenic, health-promoting effects of chiropractic adjustment is presented, focused on the improvement of physical indicators of well-being and adaptability such as blood pressure, heart rate variability, and sleep, potential benefits that may be facilitated through multiple neurologically mediated pathways. Our findings support the biological plausibility of complex benefits from chiropractic intervention that is not limited to simple neuromusculoskeletal outcomes and open new avenues for future research, specifically the exploration and mapping of the precise neural pathways and networks influenced by chiropractic adjustment.
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Affiliation(s)
- Amy Haas
- Research, Foundation for Vertebral Subluxation, Kennesaw, USA
| | - Jonathan Chung
- Research, Foundation for Vertebral Subluxation, Kennesaw, USA
| | - Christopher Kent
- Research, Sherman College, Spartanburg, USA
- Research, Foundation for Vertebral Subluxation, Kennesaw, USA
| | - Brooke Mills
- Research, Foundation for Vertebral Subluxation, Kennesaw, USA
| | - Matthew McCoy
- Research, Foundation for Vertebral Subluxation, Kennesaw, USA
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13
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Wang Y, Chen P, Wang J, Lin Q, Li H, Izci-Balserak B, Yuan J, Zhao R, Zhu B. Sleep health predicted glucose metabolism among pregnant women: A prospective cohort study. Diabetes Res Clin Pract 2024; 209:111570. [PMID: 38341040 DOI: 10.1016/j.diabres.2024.111570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/23/2024] [Accepted: 02/05/2024] [Indexed: 02/12/2024]
Abstract
AIMS To examine whether sleep health in the first trimester could predict glucose metabolism in the second trimester. METHODS Pregnant women (N = 127) during the first trimester were recruited (August 2022 to March 2023). Overall sleep health was assessed by the Sleep Health Index. Various dimensions of sleep health were measured using a 7-day sleep diary and questionnaires. The outcomes, including diagnosis of gestational diabetes mellitus (GDM) and HbA1c, were obtained from the medical records in the second trimester. Poisson regression analysis and multiple linear regression were used for data analysis. RESULTS The average age of the participants was 32.6 years. The incidence of GDM was 28.3 % and the mean HbA1c was 5.2 % (33 mmol/mol). Sleep duration regularity (RR = 1.808; 95 %CI 1.023, 3.196) was associated with GDM after controlling for confounders. SHI total score (β = -0.278; 95 %CI -0.022, -0.005) and sleep duration regularity (β = 0.243; 95 %CI 0.057, 0.372) were associated with HbA1c. CONCLUSIONS Worse sleep health, particularly lower sleep regularity, predicted worse glucose metabolism among pregnant women. Healthcare professional may consider adding sleep-related assessment to prenatal care. Maintaining regular sleep should be encouraged. Studies examining the impact of sleep intervention on glucose metabolism among pregnant women are warranted.
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Affiliation(s)
- Yueying Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Pei Chen
- College of Nursing, University of Illinois Chicago, Chicago, IL, USA
| | - Jinle Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Qin Lin
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hong Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | | | - Jinjin Yuan
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Ruru Zhao
- Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Bingqian Zhu
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China.
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Paz V, Wilcox H, Goodman M, Wang H, Garfield V, Saxena R, Dashti HS. Associations of a multidimensional polygenic sleep health score and a sleep lifestyle index on health outcomes and their interaction in a clinical biobank. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.06.24302416. [PMID: 38370718 PMCID: PMC10871384 DOI: 10.1101/2024.02.06.24302416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Sleep is a complex behavior regulated by genetic and environmental factors, and is known to influence health outcomes. However, the effect of multidimensional sleep encompassing several sleep dimensions on diseases has yet to be fully elucidated. Using the Mass General Brigham Biobank, we aimed to examine the association of multidimensional sleep with health outcomes and investigate whether sleep behaviors modulate genetic predisposition to unfavorable sleep on mental health outcomes. First, we generated a Polygenic Sleep Health Score using previously identified single nucleotide polymorphisms for sleep health and constructed a Sleep Lifestyle Index using data from self-reported sleep questions and electronic health records; second, we performed phenome-wide association analyses between these indexes and clinical phenotypes; and third, we analyzed the interaction between the indexes on prevalent mental health outcomes. Fifteen thousand eight hundred and eighty-four participants were included in the analysis (mean age 54.4; 58.6% female). The Polygenic Sleep Health Score was associated with the Sleep Lifestyle Index (β=0.050, 95%CI=0.032, 0.068) and with 114 disease outcomes spanning 12 disease groups, including obesity, sleep, and substance use disease outcomes (p<3.3×10-5). The Sleep Lifestyle Index was associated with 458 disease outcomes spanning 17 groups, including sleep, mood, and anxiety disease outcomes (p<5.1×10-5). No interactions were found between the indexes on prevalent mental health outcomes. These findings suggest that favorable sleep behaviors and genetic predisposition to healthy sleep may independently be protective of disease outcomes. This work provides novel insights into the role of multidimensional sleep on population health and highlights the need to develop prevention strategies focused on healthy sleep habits.
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Affiliation(s)
- Valentina Paz
- Instituto de Psicología Clínica, Facultad de Psicología, Universidad de la República, Montevideo, Uruguay
- MRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, London, United Kingdom
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Hannah Wilcox
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Matthew Goodman
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Heming Wang
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Victoria Garfield
- MRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Richa Saxena
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute, Cambridge, Massachusetts, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Hassan S. Dashti
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute, Cambridge, Massachusetts, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Nutrition, Harvard Medical School, Boston, Massachusetts, United States of America
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15
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Wang M, Flexeder C, Harris CP, Thiering E, Koletzko S, Bauer CP, Schulte-Körne G, von Berg A, Berdel D, Heinrich J, Schulz H, Schikowski T, Peters A, Standl M. Accelerometry-assessed sleep clusters and cardiometabolic risk factors in adolescents. Obesity (Silver Spring) 2024; 32:200-213. [PMID: 37873587 DOI: 10.1002/oby.23918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/07/2023] [Accepted: 08/18/2023] [Indexed: 10/25/2023]
Abstract
OBJECTIVE This study aimed to identify sleep clusters based on objective multidimensional sleep characteristics and test their associations with adolescent cardiometabolic health. METHODS The authors included 1090 participants aged 14.3 to 16.4 years (mean = 15.2 years) who wore 7-day accelerometers during the 15-year follow-up of the German Infant Study on the influence of Nutrition Intervention PLUS environmental and genetic influences on allergy development (GINIplus) and the Influence of Lifestyle factors on the development of the Immune System and Allergies in East and West Germany (LISA) birth cohorts. K-means cluster analysis was performed across 12 sleep characteristics reflecting sleep quantity, quality, schedule, variability, and regularity. Cardiometabolic risk factors included fat mass index (FMI), blood pressure, triglycerides, high-density lipoprotein cholesterol, high-sensitivity C-reactive protein, and insulin resistance (n = 505). Linear and logistic regression models were examined. RESULTS Five sleep clusters were identified: good sleep (n = 337); delayed sleep phase (n = 244); sleep irregularity and variability (n = 108); fragmented sleep (n = 313); and prolonged sleep latency (n = 88). The "prolonged sleep latency" cluster was associated with increased sex-scaled FMI (β = 0.39, 95% CI: 0.15-0.62) compared with the "good sleep" cluster. The "sleep irregularity and variability" cluster was associated with increased odds of high triglycerides only in male individuals (odds ratio: 9.50, 95% CI: 3.22-28.07), but this finding was not confirmed in linear models. CONCLUSIONS The prolonged sleep latency cluster was associated with higher FMI in adolescents, whereas the sleep irregularity and variability cluster was specifically linked to elevated triglycerides (≥1.7 mmol/L) in male individuals.
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Affiliation(s)
- Mingming Wang
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany
| | - Claudia Flexeder
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Carla P Harris
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany
| | - Sibylle Koletzko
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany
- Department of Pediatrics, Gastroenterology and Nutrition, School of Medicine Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
| | | | - Gerd Schulte-Körne
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Hospital of the Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
| | - Andrea von Berg
- Research Institute, Department of Pediatrics, Marien-Hospital Wesel, Wesel, Germany
| | - Dietrich Berdel
- Research Institute, Department of Pediatrics, Marien-Hospital Wesel, Wesel, Germany
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Holger Schulz
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Tamara Schikowski
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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16
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Mason L, Connolly J, Devenney LE, Lacey K, O’Donovan J, Doherty R. Sleep, Nutrition, and Injury Risk in Adolescent Athletes: A Narrative Review. Nutrients 2023; 15:5101. [PMID: 38140360 PMCID: PMC10745648 DOI: 10.3390/nu15245101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/01/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
This narrative review explores the impact of sleep and nutrition on injury risk in adolescent athletes. Sleep is viewed as essential to the recuperation process and is distinguished as an active participant in recovery through its involvement in growth, repair, regeneration, and immunity. Furthermore, the literature has shown that the sleep of athletes impacts elements of athletic performance including both physical and cognitive performance, recovery, injury risk, and mental well-being. For sleep to have a restorative effect on the body, it must meet an individual's sleep needs whilst also lasting for an adequate duration and being of adequate quality, which is age-dependent. The literature has suggested that athletes have increased sleep needs compared to those of the general population and thus the standard recommendations may not be sufficient for athletic populations. Therefore, a more individualised approach accounting for overall sleep health may be more appropriate for addressing sleep needs in individuals including athletes. The literature has demonstrated that adolescent athletes achieve, on average, ~6.3 h of sleep, demonstrating a discrepancy between sleep recommendations (8-10 h) and actual sleep achieved. Sleep-wake cycles undergo development during adolescence whereby adaptation occurs in sleep regulation during this phase. These adaptations increase sleep pressure tolerance and are driven by the maturation of physiological, psychological, and cognitive functioning along with delays in circadian rhythmicity, thus creating an environment for inadequate sleep during adolescence. As such, the adolescent period is a phase of rapid growth and maturation that presents multiple challenges to both sleep and nutrition; consequently, this places a significant burden on an adolescent athletes' ability to recover, thus increasing the likelihood of injury. Therefore, this article aims to provide a comprehensive review of the available literature on the importance of sleep and nutrition interactions in injury risk in adolescent athletes. Furthermore, it provides foundations for informing further investigations exploring the relation of sleep and nutrition interactions to recovery during adolescence.
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Affiliation(s)
- Lorcán Mason
- Sports Lab North West, Atlantic Technological University Donegal, Port Road, F92 FC93 Letterkenny, Ireland (R.D.)
| | - James Connolly
- Department of Computing, Atlantic Technological University Donegal, Port Road, F92 FC93 Letterkenny, Ireland
| | - Lydia E. Devenney
- Faculty of Arts & Social Sciences, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK
| | - Karl Lacey
- Sports Lab North West, Atlantic Technological University Donegal, Port Road, F92 FC93 Letterkenny, Ireland (R.D.)
| | - Jim O’Donovan
- DCU Glasnevin Campus, Dublin City University, Collins Avenue Extension, Dublin 9, D09 Y8VX Dublin, Ireland
- Sport Ireland Institute, National Sport Campus, Abbotstown, Dublin 15, D15 Y52H Dublin, Ireland
| | - Rónán Doherty
- Sports Lab North West, Atlantic Technological University Donegal, Port Road, F92 FC93 Letterkenny, Ireland (R.D.)
- Sport Ireland Institute, National Sport Campus, Abbotstown, Dublin 15, D15 Y52H Dublin, Ireland
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17
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Elumn JE, Saeed GJ, Aminawung J, Horton N, Lin HJ, Yaggi HK, Wang EA. The sleep justice study - a prospective cohort study assessing sleep as a cardiometabolic risk factor after incarceration: a protocol paper. BMC Public Health 2023; 23:2107. [PMID: 37884957 PMCID: PMC10605958 DOI: 10.1186/s12889-023-16985-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/13/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND An estimated 11 million individuals are released from U.S. jails and prisons each year. Individuals with a history of incarceration have higher rates of cardiovascular disease (CVD) events and mortality compared to the general population, especially in the weeks following release from carceral facilities. Healthy sleep, associated with cardiovascular health, is an underexplored factor in the epidemiology of CVD in this population. Incarcerated people may have unique individual, environmental, and institutional policy-level reasons for being sleep deficient. The social and physical environment within carceral facilities and post-release housing may synergistically affect sleep, creating disparities in sleep and cardiovascular health. Since carceral facilities disproportionately house poor and minoritized groups, population-specific risk factors that impact sleep may also contribute to inequities in cardiovascular outcomes. METHODS This study is ancillary to an ongoing prospective cohort recruiting 500 individuals with known cardiovascular risk factors within three months of release from incarceration, the Justice-Involved Individuals Cardiovascular Disease Epidemiology (JUSTICE) study. The Sleep Justice study will measure sleep health among participants at baseline and six months using three validated surveys: the Pittsburgh Sleep Quality Index (PSQI), the STOP-Bang, and the Brief Index of Sleep Control. In a subsample of 100 individuals, we will assess sleep over the course of one week using wrist actigraphy, a validated objective measure of sleep that collects data on rest-activity patterns, sleep, and ambient light levels. Using this data, we will estimate and compare sleep health and its association with CVD risk factor control in individuals recently released from carceral facilities. DISCUSSION The incarceration of millions of poor and minoritized groups presents an urgent need to understand how incarceration affects CVD epidemiology. This study will improve our understanding of sleep health among people released from carceral facilities and its potential relationship to CVD risk factor control. Using subjective and objective measures of sleep will allow us to identify unique targets to improve sleep health and mitigate cardiovascular risk in an otherwise understudied population.
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Affiliation(s)
- Johanna E Elumn
- SEICHE Center for Health and Justice, Yale School of Medicine, New Haven, CT, USA.
- Department of Internal Medicine, Section of General Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
| | - Gul Jana Saeed
- Department of Internal Medicine, Roger Williams Medical Center, Providence, RI, USA
| | - Jenerius Aminawung
- SEICHE Center for Health and Justice, Yale School of Medicine, New Haven, CT, USA
- Department of Internal Medicine, Section of General Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Nadine Horton
- SEICHE Center for Health and Justice, Yale School of Medicine, New Haven, CT, USA
- Department of Internal Medicine, Section of General Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Hsiu-Ju Lin
- Department of Social Work, University of Connecticut, Storrs, CT, USA
| | - H Klar Yaggi
- Section Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- VA CT Clinical Epidemiology Research Center (CERC), West Haven, CT, USA
| | - Emily A Wang
- SEICHE Center for Health and Justice, Yale School of Medicine, New Haven, CT, USA
- Department of Internal Medicine, Section of General Internal Medicine, Yale School of Medicine, New Haven, CT, USA
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18
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Matricciani L, Dumuid D, Paquet C, Lushington K, Olds T. Branched-chain amino acids and sleep: a population-derived study of Australian children aged 11-12 years and their parents. J Sleep Res 2023; 32:e13855. [PMID: 36815545 PMCID: PMC10909564 DOI: 10.1111/jsr.13855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 12/07/2022] [Accepted: 01/25/2023] [Indexed: 02/24/2023]
Abstract
Micronutrients, particularly amino acids, are thought to play an important role in sleep regulation and maintenance. While tryptophan is a known predictor of sleep, less is known about branched-chain amino acids (BCAAs), which compete with tryptophan for transport across the blood-brain barrier. The aim of this study was to determine the association between BCAAs and actigraphy-derived sleep duration, timing and efficiency, and self-reported trouble sleeping. This study examined data on children and adults collected as part of the Child Health CheckPoint study. Linear mixed models, adjusted for geographic clustering, were used to determine the association between BCAAs and sleep characteristics. Complete-case analysis was conducted for 741 children aged 11-12 years old (51% females) and 941parents (87% mothers). While BCAAs were significantly associated with children's sleep duration, timing and self-reported trouble sleeping, no associations were observed in adults, in fully adjusted models. In children, higher levels of BCAAs are associated with shorter sleep duration, delayed sleep timing, and more frequent reports of trouble sleeping.
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Affiliation(s)
- Lisa Matricciani
- Clinical & Health SciencesUniversity of South AustraliaAdelaideAustralia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideAustralia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideAustralia
- Allied Health and Human Performance (AHHP)University of South AustraliaAdelaideAustralia
- Murdoch Children's Research InstituteParkvilleVictoriaAustralia
| | - Catherine Paquet
- Allied Health and Human Performance (AHHP)University of South AustraliaAdelaideAustralia
- Faculté des Sciences AdministrativesUniversité LavalQuebec CityQuebecCanada
- Centre Nutrition, santé et société (NUTRISS), INAFUniversité LavalQuebec CityQuebecCanada
- Centre de Recherche, Centre Hospitalier Universitaire de Québec – Université LavalQuebec CityQuebecCanada
| | - Kurt Lushington
- Centre for Behaviour‐Brain‐Body: Justice and Society UnitUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Tim Olds
- Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideAustralia
- Allied Health and Human Performance (AHHP)University of South AustraliaAdelaideAustralia
- Murdoch Children's Research InstituteParkvilleVictoriaAustralia
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Asbee J, Slavish D, Taylor DJ, Dietch JR. Using a frequentist and Bayesian approach to examine video game usage, substance use, and sleep among college students. J Sleep Res 2023; 32:e13844. [PMID: 36814416 PMCID: PMC10442460 DOI: 10.1111/jsr.13844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 09/26/2022] [Accepted: 01/16/2023] [Indexed: 02/24/2023]
Abstract
Video games are a popular form of entertainment. However, there is mixed evidence for the association between video game usage and poor sleep quality, short sleep duration, or delayed sleep timing. The current study examined associations between daily sleep behaviours and video game usage via a Bayesian and frequentist statistical approach. Caffeine and alcohol consumption were also assessed as moderators, as these behaviours may co-occur with video game usage and poor sleep. 1032 (72% female) undergraduate students were recruited between 2006-2007. Participants completed questionnaires examining video game and substance use, as well as sleep diaries for 1 week. Frequentist analyses revealed that video game usage was related to increased variability in the total sleep time, and a later average sleep midpoint, but not sleep efficiency. Alcohol use moderated the relationships between video game usage and both average and variability in total sleep time. Caffeine use was related to shorter average total sleep time and more variability in sleep efficiency. Alcohol consumption was related to more variability in the total sleep time and sleep midpoint, and a later average sleep midpoint. Bayesian models suggested strong evidence that video game playing was associated with later average sleep midpoint. Like the frequentist approach, alcohol consumption moderated the relationship between video game usage and both average and variability in total sleep time, but the evidence was weak. The effect sizes for both approaches tended to be small. Using a rigorous statistical approach and a large sample, this study provides robust evidence that video game usage may not be strongly associated with poor sleep among undergraduate students.
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Affiliation(s)
- Justin Asbee
- University of North Texas, Denton, Texas, USA
- University of Arkansas, Fayetteville, Arkansas, USA
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20
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Song TA, Chowdhury SR, Malekzadeh M, Harrison S, Hoge TB, Redline S, Stone KL, Saxena R, Purcell SM, Dutta J. AI-Driven sleep staging from actigraphy and heart rate. PLoS One 2023; 18:e0285703. [PMID: 37195925 PMCID: PMC10191307 DOI: 10.1371/journal.pone.0285703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 05/02/2023] [Indexed: 05/19/2023] Open
Abstract
Sleep is an important indicator of a person's health, and its accurate and cost-effective quantification is of great value in healthcare. The gold standard for sleep assessment and the clinical diagnosis of sleep disorders is polysomnography (PSG). However, PSG requires an overnight clinic visit and trained technicians to score the obtained multimodality data. Wrist-worn consumer devices, such as smartwatches, are a promising alternative to PSG because of their small form factor, continuous monitoring capability, and popularity. Unlike PSG, however, wearables-derived data are noisier and far less information-rich because of the fewer number of modalities and less accurate measurements due to their small form factor. Given these challenges, most consumer devices perform two-stage (i.e., sleep-wake) classification, which is inadequate for deep insights into a person's sleep health. The challenging multi-class (three, four, or five-class) staging of sleep using data from wrist-worn wearables remains unresolved. The difference in the data quality between consumer-grade wearables and lab-grade clinical equipment is the motivation behind this study. In this paper, we present an artificial intelligence (AI) technique termed sequence-to-sequence LSTM for automated mobile sleep staging (SLAMSS), which can perform three-class (wake, NREM, REM) and four-class (wake, light, deep, REM) sleep classification from activity (i.e., wrist-accelerometry-derived locomotion) and two coarse heart rate measures-both of which can be reliably obtained from a consumer-grade wrist-wearable device. Our method relies on raw time-series datasets and obviates the need for manual feature selection. We validated our model using actigraphy and coarse heart rate data from two independent study populations: the Multi-Ethnic Study of Atherosclerosis (MESA; N = 808) cohort and the Osteoporotic Fractures in Men (MrOS; N = 817) cohort. SLAMSS achieves an overall accuracy of 79%, weighted F1 score of 0.80, 77% sensitivity, and 89% specificity for three-class sleep staging and an overall accuracy of 70-72%, weighted F1 score of 0.72-0.73, 64-66% sensitivity, and 89-90% specificity for four-class sleep staging in the MESA cohort. It yielded an overall accuracy of 77%, weighted F1 score of 0.77, 74% sensitivity, and 88% specificity for three-class sleep staging and an overall accuracy of 68-69%, weighted F1 score of 0.68-0.69, 60-63% sensitivity, and 88-89% specificity for four-class sleep staging in the MrOS cohort. These results were achieved with feature-poor inputs with a low temporal resolution. In addition, we extended our three-class staging model to an unrelated Apple Watch dataset. Importantly, SLAMSS predicts the duration of each sleep stage with high accuracy. This is especially significant for four-class sleep staging, where deep sleep is severely underrepresented. We show that, by appropriately choosing the loss function to address the inherent class imbalance, our method can accurately estimate deep sleep time (SLAMSS/MESA: 0.61±0.69 hours, PSG/MESA ground truth: 0.60±0.60 hours; SLAMSS/MrOS: 0.53±0.66 hours, PSG/MrOS ground truth: 0.55±0.57 hours;). Deep sleep quality and quantity are vital metrics and early indicators for a number of diseases. Our method, which enables accurate deep sleep estimation from wearables-derived data, is therefore promising for a variety of clinical applications requiring long-term deep sleep monitoring.
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Affiliation(s)
- Tzu-An Song
- University of Massachusetts Amherst, Amherst, MA, United States of America
| | | | - Masoud Malekzadeh
- University of Massachusetts Amherst, Amherst, MA, United States of America
| | - Stephanie Harrison
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Terri Blackwell Hoge
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Susan Redline
- Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Richa Saxena
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Shaun M. Purcell
- Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Joyita Dutta
- University of Massachusetts Amherst, Amherst, MA, United States of America
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Kyytsönen M, Vehko T, Anttila H, Ikonen J. Factors associated with use of wearable technology to support activity, well-being, or a healthy lifestyle in the adult population and among older adults. PLOS DIGITAL HEALTH 2023; 2:e0000245. [PMID: 37163490 PMCID: PMC10171588 DOI: 10.1371/journal.pdig.0000245] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 04/03/2023] [Indexed: 05/12/2023]
Abstract
The use of wearable technology, which is often acquired to support well-being and a healthy lifestyle, has become popular in Western countries. At the same time, healthcare is gradually taking the first steps to introduce wearable technology into patient care, even though on a large scale the evidence of its' effectiveness is still lacking. The objective of this study was to identify the factors associated with use of wearable technology to support activity, well-being, or a healthy lifestyle in the Finnish adult population (20-99) and among older adults (65-99). The study utilized a cross-sectional population survey of Finnish adults aged 20 and older (n = 6,034) to analyse non-causal relationships between wearable technology use and the users' characteristics. Logistic regression models of wearable technology use were constructed using statistically significant sociodemographic, well-being, health, benefit, and lifestyle variables. Both in the general adult population and among older adults, wearable technology use was associated with getting aerobic physical activity weekly according to national guidelines and with marital status. In the general adult population, wearable technology use was also associated with not sleeping enough and agreeing with the statement that social welfare and healthcare e-services help in taking an active role in looking after one's own health and well-being. Younger age was associated with wearable technology use in the general adult population but for older adults age was not a statistically significant factor. Among older adults, non-use of wearable technology went hand in hand with needing guidance in e-service use, using a proxy, or not using e-services at all. The results support exploration of the effects of wearable technology use on maintaining an active lifestyle among adults of all ages.
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Affiliation(s)
- Maiju Kyytsönen
- Health and Social Service System Research, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Tuulikki Vehko
- Health and Social Service System Research, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Heidi Anttila
- Functioning and Service Needs, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jonna Ikonen
- Monitoring, Finnish Institute for Health and Welfare, Helsinki, Finland
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22
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Wang Y, Yuan J, Lin Q, Wang J, Li H, Zhu B. Psychometric evaluation of the Chinese version of Sleep Health Index in pregnant women. Midwifery 2023; 122:103703. [PMID: 37119671 DOI: 10.1016/j.midw.2023.103703] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 04/18/2023] [Accepted: 04/21/2023] [Indexed: 05/01/2023]
Abstract
OBJECTIVE The aim of this study was to investigate the psychometric properties of the Chinese version of the Sleep Health Index (SHI-C) among pregnant women. DESIGN Cross-sectional design. SETTING Outpatient clinic of three hospitals in China. PARTICIPANTS Pregnant women (N = 264) aged between 18 and 45 years were recruited via convenience sampling. METHODS The Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS) and Insomnia Severity Index (ISI) were used to measure sleep quality, daytime sleepiness, and insomnia, respectively. The Fatigue Assessment Scale (FAS) and the Edinburgh Postnatal Depression Scale (EPDS) were used to measure fatigue and depression, respectively. Structural validity was assessed via confirmatory factor analysis (CFA). Concurrent and convergent validity were assessed using bivariate correlation analyses. Known-group validity was assessed by comparing the SHI-C score between different groups. Cronbach's α was calculated for reliability. FINDINGS The average sample age was 30.6 years old and their average score of SHI-C was 86.4 (SD 8.2). Based on PSQI, ISI, and ESS, 43.6%, 32.2%, and 26.9% had poor sleep quality, insomnia, and excessive daytime sleepiness, respectively. The SHI-C total and sleep quality sub-index scores had moderate to strong correlations with both PSQI (r=-0.542, p<0.01; r=-0.648, p<0.01) and ISI (r=-0.692, p<0.01; r=-0.752, p<0.01). The SHI-C total and sleep quality sub-index scores were significantly associated with ESS, FAS, and EPDS (r=-0.171 to -0.276; p<0.01). The SHI-C total score was higher in the second trimester and among those who were working, never drank coffee, or took a nap every day. The Cronbach's α of the SHI-C total and the sleep quality sub-index were 0.723 and 0.806, respectively. The Cronbach's α of sleep duration and disordered sleep sub-indices were 0.594 and 0.545, respectively. KEY CONCLUSIONS Overall, the SHI-C has good validity and acceptable reliability among the pregnant population in China. It can be a useful tool for the assessment of sleep health. More research is warranted to refine the sleep duration and disordered sleep sub-indices. IMPLICATIONS FOR PRACTICE The use of SHI-C would facilitate the assessment of sleep health among pregnant women, which could contribute to the promotion of perinatal care.
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Affiliation(s)
- Yueying Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Jinjin Yuan
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Qin Lin
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinle Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Hong Li
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bingqian Zhu
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China.
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23
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Chen Y, Zhou E, Wang Y, Wu Y, Xu G, Chen L. The past, present, and future of sleep quality assessment and monitoring. Brain Res 2023; 1810:148333. [PMID: 36931581 DOI: 10.1016/j.brainres.2023.148333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 03/09/2023] [Accepted: 03/12/2023] [Indexed: 03/17/2023]
Abstract
Sleep quality is considered to be an individual's self-satisfaction with all aspects of the sleep experience. Good sleep not only improves a person's physical, mental and daily functional health, but also improves the quality-of-life level to some extent. In contrast, chronic sleep deprivation can increase the risk of diseases such as cardiovascular diseases, metabolic dysfunction and cognitive and emotional dysfunction, and can even lead to increased mortality. The scientific evaluation and monitoring of sleep quality is an important prerequisite for safeguarding and promoting the physiological health of the body. Therefore, we have compiled and reviewed the existing methods and emerging technologies commonly used for subjective and objective evaluation and monitoring of sleep quality, and found that subjective sleep evaluation is suitable for clinical screening and large-scale studies, while objective evaluation results are more intuitive and scientific, and in the comprehensive evaluation of sleep, if we want to get more scientific monitoring results, we should combine subjective and objective monitoring and dynamic monitoring.
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Affiliation(s)
- Yanyan Chen
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China
| | - Enyuan Zhou
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China
| | - Yu Wang
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China
| | - Yuxiang Wu
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China
| | - Guodong Xu
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China
| | - Lin Chen
- School of Physical Education, Jianghan University, Wuhan Hubei, 430056, China.
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24
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Sabot D, Lovegrove R, Stapleton P. The association between sleep quality and telomere length: A systematic literature review. Brain Behav Immun Health 2023; 28:100577. [PMID: 36691437 PMCID: PMC9860369 DOI: 10.1016/j.bbih.2022.100577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 12/20/2022] [Indexed: 01/10/2023] Open
Abstract
Several sleep parameters present an elevated risk for processes that contribute to cellular aging. Short sleep duration, sleep apnoea, and insomnia are significantly associated with shorter telomeres, a biological marker of cellular aging. However, there has been no review or analysis of studies that have examined the association between the psychological construct of sleep quality and telomere length. The present study aimed to provide a systematic review of the association between sleep quality and telomere length. A systematic review of English articles was conducted using MEDLINE/PubMed, PsycINFO, Google Scholar, and Web of Science electronic databases, with the final search conducted on 3rd September 2021. Search terms included sleep quality, poor sleep, insomnia, sleep difficulties, sleep issue*, non-restorative sleep, telomere*, cellular aging, and immune cell telomere length. Study eligibility criteria included human participants aged 18 years or older and a reproducible methodology. Study appraisal and synthesis were completed using a systematic search in line with a PICOS approach (P = Patient, problem, or population; I = Intervention, prognostic factor, exposure; C = Comparison, control, or comparator; O = Outcomes; S = Study designs). Twenty-two studies met review inclusion criteria. Qualitative synthesis of the literature indicated insufficient evidence overall to support a significant association between sleep quality and telomere length. Limitations across studies were addressed, such as the assessment of examined constructs. Findings highlight important targets for future research, including the standardised operationalisation of the sleep quality construct and experimental study designs. Research in this area has clinical significance by identifying possible mechanisms that increase the risk for age-related disease and mortality. PROSPERO Registration No.: CRD 42021233139.
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Affiliation(s)
- Debbie Sabot
- Corresponding author. School of Psychology, Faculty of Society and Design, Bond University, Robina, QLD, 4227, Australia.
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25
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Matricciani L, Paquet C, Dumuid D, Lushington K, Olds T. Multidimensional Sleep and Cardiometabolic Risk Factors for Type 2 Diabetes: Examining Self-Report and Objective Dimensions of Sleep. DIABETES EDUCATOR 2022; 48:533-545. [DOI: 10.1177/26350106221137896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Purpose: The purpose of the study was to determine the association between objective and self-report measures of sleep and cardiometabolic risk factors for type 2 diabetes. Methods: This study examines data on Australian adults, collected as part of the Child Health CheckPoint study. Sleep was examined in terms of actigraphy-derived sleep duration, timing, efficiency and variability; and self-report trouble sleeping. Cardiometabolic risk factors for type 2 diabetes were examined in terms of body mass index and biomarkers of inflammation and dyslipidemia. Generalized estimating equations, adjusted for geographic clustering, were used to determine the association between measures of sleep and cardiometabolic risk factors. Results: Complete case analysis was conducted for 1017 parents (87% mothers). Both objective and self-report measures of sleep were significantly but weakly associated with cardiometabolic risk factors. Conclusion: Both objective and self-report measures of sleep are significantly associated with cardiometabolic risk factors for type 2 diabetes. Self-report troubled sleep is associated with poorer cardiometabolic health, independent of actigraphy-derived sleep parameters.
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Affiliation(s)
- Lisa Matricciani
- Clinical & Health Sciences, University of South Australia, Adelaide, Australia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, Australia
| | - Catherine Paquet
- Faculté des Sciences Administratives, Université Laval; Centre Nutrition, santé et société (NUTRISS), INAF, Université Laval; Centre de Recherche, Centre Hospitalier Universitaire de Québec - Université Laval
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, Australia
- Allied Health and Human Performance (AHHP), University of South Australia, Adelaide, Australia
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
| | - Kurt Lushington
- Discipline of Psychology, Justice and Society Unit, University of South Australia
| | - Tim Olds
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, Australia
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
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Abstract
PURPOSE OF REVIEW We discuss the relationship between sleep and circadian factors with cardiovascular disease (CVD) risk, including physiologic, behavioral, and psychological mechanisms along this pathway. RECENT FINDINGS The relationship between short and long sleep duration, as well as insomnia, with CVD risk is well-established. Recent work has highlighted how other sleep factors, such as sleep regularity (i.e., consistency of sleep timing), multidimensional sleep health, and circadian factors like chronotype and social jetlag, relate to CVD risk. Sleep-focused interventions (e.g., cognitive behavioral therapy for insomnia and sleep extension) may be effective to reduce CVD risk and disease burden. Sleep is increasingly recognized as an integral component of cardiovascular health. This was underscored by the recent inclusion of sleep duration as a health behavior in the American Heart Association's Life's Essential 8 for defining optimal cardiovascular health.
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Affiliation(s)
- Joseph Belloir
- School of Nursing, Columbia University, New York, NY, USA
| | - Nour Makarem
- Department of Epidemiology, Mailman School of Public Health Columbia University Irving Medical Center, New York, NY, USA
| | - Ari Shechter
- Center for Behavioral Cardiovascular Health, Department of Medicine, Columbia University Irving Medical Center, 622 West 168th Street, 9th Floor, New York, NY, 10032, USA.
- Center of Excellence for Sleep & Circadian Research, Columbia University Irving Medical Center, New York, NY, USA.
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27
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Najafi A, Akbarpour S, Najafi F, Safari-Faramani R, Sadeghniiat-Haghighi K, Aghajani F, Asgari S, Aleebrahim F, Nakhostin-Ansari A. Prevalence of short and long sleep duration: Ravansar NonCommunicable Disease (RaNCD) cohort study. BMC Public Health 2022; 22:1631. [PMID: 36038891 PMCID: PMC9422113 DOI: 10.1186/s12889-022-14061-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 08/25/2022] [Indexed: 11/14/2022] Open
Abstract
Background Prevalence of short and long sleep duration varies in different countries and changes over time. There are limited studies on Iranians’ sleep duration, and we aimed to evaluate the prevalence of short and long sleep duration and associated factors among people living in Kermanshah, Iran. Methods This population-based cross-sectional study was conducted between November 2014 and February 2017. Data was collected from 10,025 adults aged 35 to 65 years using census sampling, and we evaluated the short and long sleep duration (≤ 6 and ≥ 9 h, respectively) and its relation with the socio-demographic factors and health-related status of the participants. Results Mean age of participants was 48.1 years (standard deviation = 8.2), and 47.4% of participants were male. Of our participants, 11.6% had short, and 21.9% had long sleep duration. Age ≥ 50 years, female gender, being single, mobile use for longer than 8 h per day, working in night shifts, moderate and good levels of physical activity, BMI ≥ 30, past smoking, and alcohol use were associated with short sleep duration (P < 0.05). Female gender and living in rural areas were associated with long sleep duration (P < 0.05). Conclusion In the Ravansar population, short and long sleep duration are prevalent, with long sleep duration having higher prevalence. People at risk, such as night shift workers, as well as modifiable factors, such as mobile phone use, can be targeted with interventions to improve sleep hygiene. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-14061-4.
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Affiliation(s)
- Arezu Najafi
- Occupational Sleep Research Center, Tehran University of Medical Sciences, Tehran, Iran.,Sleep Breathing Disorders Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Samaneh Akbarpour
- Occupational Sleep Research Center, Tehran University of Medical Sciences, Tehran, Iran.,Sleep Breathing Disorders Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farid Najafi
- Department of Epidemiology, School of Health, Research Center for Environmental Determinants of Health, Research Institute for Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Roya Safari-Faramani
- Department of Epidemiology, School of Health, Research Center for Environmental Determinants of Health, Research Institute for Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Khosro Sadeghniiat-Haghighi
- Occupational Sleep Research Center, Tehran University of Medical Sciences, Tehran, Iran.,Sleep Breathing Disorders Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Faezeh Aghajani
- Research Development Center, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Samaneh Asgari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Forugh Aleebrahim
- School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Amin Nakhostin-Ansari
- Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran. .,Neuromusculoskeletal Research Center, Iran University of Medical Sciences, Tehran, Iran.
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28
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Spanish version of Jenkins Sleep Scale in physicians and nurses: psychometric properties from a Peruvian nationally representative sample. J Psychosom Res 2022; 157:110759. [PMID: 35358746 DOI: 10.1016/j.jpsychores.2022.110759] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 02/02/2022] [Accepted: 02/05/2022] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To evaluate the psychometric properties of the Spanish version of Jenkins Sleep Scale with 4 items (JSS-4) of the Peruvian health system's (PHS) nurses and physicians. METHODS We carried out a psychometric study based on secondary analysis in a sample from a nationally representative survey that used acomplex sampling design. The participants were physicians and nurses aged 18-65 years, working in PHS private and public facilities, who have fulfilled all JSS-4 items. We performed a confirmatory factor analysis. Reliability was evaluated via two estimates - classic alpha (α) and categorical omega (ω) coefficients. Also, we tested the invariance across groups of variables. The convergent validity was evaluated based on the relation between JSS-4 and PHQ-2 using Pearson's correlation coefficient and effect size (Cohen's d). Also, we designed normative values based on percentiles. RESULTS We included 2100 physicians and 2826 nurses in the analysis. We observed that the unidimensional model has adequate goodness-of-fit indices and values of α and ω coefficients. No measurement invariance was found between the groups of professionals and age groups; however, invariance was achieved between sex, monthly income, work-related illness, and chronic illness groups. Regarding the relation with other variables, the JSS-4 has a small correlation with PHQ-2. Also, profession and age-specific normative values were proposed. CONCLUSION JSS-4 Spanish version has adequate psychometric properties in PHS nurses and physicians.
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29
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Wallace ML, Kissel N, Hall MH, Germain A, Matthews KA, Troxel WM, Franzen PL, Buysse DJ, Reynolds C, Monk T, Roecklein KA, Gunn HE, Hasler BP, Goldstein TR, McMakin DL, Szigethy E, Soehner AM. Age Trends in Actigraphy and Self-Report Sleep Across the Life Span: Findings From the Pittsburgh Lifespan Sleep Databank. Psychosom Med 2022; 84:410-420. [PMID: 35100181 PMCID: PMC9064898 DOI: 10.1097/psy.0000000000001060] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Sleep changes over the human life span, and it does so across multiple dimensions. We used individual-level cross-sectional data to characterize age trends and sex differences in actigraphy and self-report sleep dimensions across the healthy human life span. METHODS The Pittsburgh Lifespan Sleep Databank consists of harmonized participant-level data from sleep-related studies conducted at the University of Pittsburgh (2003-2019). We included data from 1065 (n = 577 female; 21 studies) Pittsburgh Lifespan Sleep Databank participants aged 10 to 87 years without a major psychiatric, sleep, or medical condition. All participants completed wrist actigraphy and the self-rated Pittsburgh Sleep Quality Index. Main outcomes included actigraphy and self-report sleep duration, efficiency, and onset/offset timing, and actigraphy variability in midsleep timing. RESULTS We used generalized additive models to examine potentially nonlinear relationships between age and sleep characteristics and to examine sex differences. Actigraphy and self-report sleep onset time shifted later between ages 10 and 18 years (23:03-24:10 [actigraphy]; 21:58-23:53 [self-report]) and then earlier during the 20s (00:08-23:40 [actigraphy]; 23:50-23:34 [self-report]). Actigraphy and self-report wake-up time also shifted earlier during the mid-20s through late 30s (07:48-06:52 [actigraphy]; 07:40-06:41 [self-report]). Self-report, but not actigraphy, sleep duration declined between ages 10 and 20 years (09:09-07:35). Self-report sleep efficiency decreased over the entire life span (96.12-93.28), as did actigraphy variability (01:54-01:31). CONCLUSIONS Awareness of age trends in multiple sleep dimensions in healthy individuals-and explicating the timing and nature of sex differences in age-related change-can suggest periods of sleep-related risk or resilience and guide intervention efforts.
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Affiliation(s)
- Meredith L. Wallace
- Department of Psychiatry, University of Pittsburgh School of Medicine
- Departments of Statistics and Biostatistics, University of Pittsburgh
| | | | - Martica H. Hall
- Department of Psychiatry, University of Pittsburgh School of Medicine
- Departments of Psychology, University of Pittsburgh
| | - Anne Germain
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Karen A. Matthews
- Department of Psychiatry, University of Pittsburgh School of Medicine
- Departments of Psychology, University of Pittsburgh
| | | | - Peter L. Franzen
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Daniel J. Buysse
- Department of Psychiatry, University of Pittsburgh School of Medicine
- Department Clinical & Translational Science, University of Pittsburgh
| | - Charles Reynolds
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Timothy Monk
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | | | | | - Brant P. Hasler
- Department of Psychiatry, University of Pittsburgh School of Medicine
- Departments of Psychology, University of Pittsburgh
- Department Clinical & Translational Science, University of Pittsburgh
| | - Tina R. Goldstein
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | | | - Eva Szigethy
- Department of Medicine, University of Pittsburgh
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30
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Collings PJ, Grøntved A, Jago R, Kriemler S, Northstone K, Puder JJ, Salmon J, Sardinha LB, Steene-Johannessen J, van Sluijs EMF, Sherar LB, Esliger DW, Ekelund U. Cross-sectional and prospective associations of sleep duration and bedtimes with adiposity and obesity risk in 15 810 youth from 11 international cohorts. Pediatr Obes 2022; 17:e12873. [PMID: 34851038 DOI: 10.1111/ijpo.12873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 10/22/2021] [Accepted: 11/01/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To investigate associations of bedtimes and sleep durations with adiposity levels in children and adolescents. METHODS Individual data were pooled for 12 247 children (5819 with follow-up adiposity at 2.3 ± 1.4 years post-baseline) and 3563 adolescents from 11 international studies. Associations between questionnaire-based sleep durations, bedtimes and four groups of combined bedtimes and sleep lengths (later-shorter [reference]/earlier-shorter/later-longer/earlier-longer) with measured adiposity (body mass index [BMI] and waist circumference z-scores) and weight status, were investigated. RESULTS In children, longer sleep durations were consistently associated with lower adiposity markers, and earlier bedtimes were related to lower BMI z-score. Compared to sleeping <10 h, longer baseline sleep duration favourably predicted Δwaist z-score in girls (≥10 and <11 h (β-coefficient (95% confidence interval [CI])): -0.06 (-0.12 to -0.01)) and boys (≥11 h: -0.10 [-0.18 to -0.01]). Combined groups that were defined by longer sleep (later-longer and earlier-longer sleep patterns) were associated with lower adiposity, and later-longer sleep favourably predicted Δwaist z-score in girls (-0.09 [-0.15 to -0.02]). In adolescents, longer sleep durations and earlier bedtimes were associated with lower BMI z-score in the whole sample, and also with lower waist z-score in boys. Combined groups that were characterized by earlier bedtimes were associated with the same outcomes. For example, earlier-shorter (-0.22 (-0.43 to -0.01) and earlier-longer (-0.16 (-0.25 to -0.06) sleep were both associated with lower BMI z-score. CONCLUSIONS If the associations are causal, longer sleep duration and earlier bedtimes should be targeted for obesity prevention, emphasizing longer sleep for children and earlier bedtimes for adolescents.
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Affiliation(s)
- Paul J Collings
- Department of Health Sciences, University of York, York, UK.,Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Anders Grøntved
- Department of Sports Science and Clinical Biomechanics, Research Unit for Exercise Epidemiology, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark
| | - Russell Jago
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Susi Kriemler
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Kate Northstone
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jardena J Puder
- Obstetric Service, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland
| | - Jo Salmon
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Luís B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | | | | | - Lauren B Sherar
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Dale W Esliger
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
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31
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Sutanto CN, Loh WW, Toh DWK, Lee DPS, Kim JE. Association Between Dietary Protein Intake and Sleep Quality in Middle-Aged and Older Adults in Singapore. Front Nutr 2022; 9:832341. [PMID: 35356724 PMCID: PMC8959711 DOI: 10.3389/fnut.2022.832341] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 02/04/2022] [Indexed: 12/14/2022] Open
Abstract
Poor sleep has been associated with the increased risk of developing detrimental health conditions. Diet and certain nutrients, such as dietary protein (PRO) may improve sleep. This cross-sectional study aimed to investigate the relationship between PRO intake, their amino acid components, and sources with sleep quality in middle-aged and older adults residing in Singapore. A dataset of 104 healthy subjects between the age of 50 and 75 years old were used. Collected data included 3-day food record and sleep quality [sleep duration, global sleep score (GSS), sleep latency (SL), and sleep efficiency (SE)]. The collected 3-day food records were extracted for PRO, tryptophan (Trp), and large neutral amino acid (LNAA) intake. PRO intake was further categorized into plant and animal PRO. A multivariate multiple linear regression (MLR) was performed to assess the association between PRO intake and sleep quality. Dietary Trp:LNAA ratio was positively associated with sleep duration (βtotal: 108.234 h; p: 0.005) after multiple covariates adjustment. Similarly, plant Trp (βplant: 2.653 h/g; p: 0.020) and plant Trp:LNAA (βplant: 54.006 h; p: 0.008) was positively associated with sleep duration. No significant associations were observed for both SL and SE. Sleep duration in middle-aged and older Singaporean adults was positively associated with dietary Trp and Trp:LNAA, especially when obtained from plant sources.
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Evaluation of a Single-Channel EEG-Based Sleep Staging Algorithm. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19052845. [PMID: 35270548 PMCID: PMC8910622 DOI: 10.3390/ijerph19052845] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/06/2022] [Accepted: 02/22/2022] [Indexed: 12/17/2022]
Abstract
Sleep staging is the basis of sleep assessment and plays a crucial role in the early diagnosis and intervention of sleep disorders. Manual sleep staging by a specialist is time-consuming and is influenced by subjective factors. Moreover, some automatic sleep staging algorithms are complex and inaccurate. The paper proposes a single-channel EEG-based sleep staging method that provides reliable technical support for diagnosing sleep problems. In this study, 59 features were extracted from three aspects: time domain, frequency domain, and nonlinear indexes based on single-channel EEG data. Support vector machine, neural network, decision tree, and random forest classifier were used to classify sleep stages automatically. The results reveal that the random forest classifier has the best sleep staging performance among the four algorithms. The recognition rate of the Wake phase was the highest, at 92.13%, and that of the N1 phase was the lowest, at 73.46%, with an average accuracy of 83.61%. The embedded method was adopted for feature filtering. The results of sleep staging of the 11-dimensional features after filtering show that the random forest model achieved 83.51% staging accuracy under the condition of reduced feature dimensions, and the coincidence rate with the use of all features for sleep staging was 94.85%. Our study confirms the robustness of the random forest model in sleep staging, which also represents a high classification accuracy with appropriate classifier algorithms, even using single-channel EEG data. This study provides a new direction for the portability of clinical EEG monitoring.
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33
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Shrestha N, Parker A, Jurakic D, Biddle SJH, Pedisic Z. Improving Practices of Mental Health Professionals in Recommending More Physical Activity and Less Sedentary Behaviour to Their Clients: An Intervention Trial. Issues Ment Health Nurs 2022; 43:258-264. [PMID: 34529551 DOI: 10.1080/01612840.2021.1972189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
We investigated the effects of increasing physical activity (PA) and reducing sedentary behaviour (SB) of mental health professionals on their attitudes towards and practices in recommending more PA and less SB to their clients. A 4-week pre-post intervention trial was conducted involving 17 mental health professionals. The participants who increased their own physical activity during the intervention increased the frequency of recommending more PA (p = 0.009) and less SB (p = 0.005) to their clients. A relatively simple, low-cost intervention, consisting of group behaviour change counselling, goal setting and positive feedback, may improve the practices of mental health professionals.Supplemental data for this article is available online at https://doi.org/10.1080/01612840.2021.1972189 .
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Affiliation(s)
- Nipun Shrestha
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Alexandra Parker
- Institute for Health and Sport, Victoria University, Melbourne, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Danijel Jurakic
- Faculty of Kinesiology, University of Zagreb, Zagreb, Croatia
| | - Stuart J H Biddle
- Physically Active Lifestyles Research Group (USQ-PALs), Centre for Health Research, University of Southern Queensland, Springfield Central, Australia
| | - Zeljko Pedisic
- Institute for Health and Sport, Victoria University, Melbourne, Australia
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34
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Chan CS, Hazan H. The Health Hexagon Model: Postulating a holistic lifestyle approach to mental health for times and places of uncertainty. SSM - MENTAL HEALTH 2022. [DOI: 10.1016/j.ssmmh.2022.100071] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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35
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Wang W, Wang X, Liu L, Liu Z, Han T, Sun C, Yang X. Dietary tryptophan and the risk of obesity and type 2 diabetes: Total effect and mediation effect of sleep duration. Obesity (Silver Spring) 2022; 30:515-523. [PMID: 35088560 DOI: 10.1002/oby.23343] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/29/2021] [Accepted: 11/02/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The aims of this study were to examine the effects of tryptophan consumption on obesity and type 2 diabetes (T2D) risk and whether sleep duration mediates these effects. METHODS Overall, data of 7,908 participants were obtained from the China Health and Nutrition Survey (1997-2011). A total of 6,373 and 4,398 participants who reported sleep duration and had blood samples, respectively, were incorporated into subgroup analyses. Multivariate Cox regression models were used to assess the associations between tertiles of tryptophan intake with obesity and T2D. General linear regression models were used to evaluate the effect of tryptophan on sleep time and plasma biomarkers. RESULTS Dietary tryptophan was significantly associated with decreased risk of obesity and T2D risk (hazard ratio tertile 3 to tertile 1 : 0.602 [95% CI: 0.500-0.724]; 0.693 [95% CI: 0.565-0.850]). Sleep duration was significantly higher, and hemoglobin A1c, total cholesterol, low-density lipoprotein cholesterol, and apolipoprotein B-100 (APO-B) were lower in the high tertile of tryptophan compared with the low tertile (p < 0.05). In addition, mediation effects on the associations of tryptophan intake with obesity and T2D risk were observed for sleep duration (estimated mediation percentage: 31.902% and 37.391%). CONCLUSIONS Dietary tryptophan showed advantageous effects on obesity and T2D risk. Furthermore, sleep duration potentially mediated for these effects.
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Affiliation(s)
- Weiqi Wang
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Xinyue Wang
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Lin Liu
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Zengjiao Liu
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Tianshu Han
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Changhao Sun
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
| | - Xue Yang
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, People's Republic of China
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36
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Smith CE, Lee S. Identifying diverse forms of (un)healthy sleep: Sleep profiles differentiate adults' psychological and physical well-being. Soc Sci Med 2021; 292:114603. [PMID: 34875579 DOI: 10.1016/j.socscimed.2021.114603] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/20/2021] [Accepted: 11/22/2021] [Indexed: 01/07/2023]
Abstract
RATIONALE Sleep health is best described by the co-occurrence of various dimensions (e.g., regularity, daytime alertness, satisfaction, efficiency, duration) but is rarely measured this way. Information is needed regarding common within-person patterns of sleep characteristics among adults and their relative healthiness. OBJECTIVE To deepen understanding of healthy and unhealthy sleep, the present study aimed to uncover multidimensional sleep profiles in adults and their associations with a variety of psychological and physical well-being outcomes. METHODS Survey data from 4622 adults who participated in the Midlife in the United States (MIDUS) project was used to identify latent sleep profiles across five core sleep dimensions. Adjusting for individual sleep dimensions and sociodemographic covariates, General Linear Models were used to test the associations of sleep profile membership with hedonic and eudemonic well-being and chronic physical conditions. RESULTS Four latent sleep profiles were revealed, good sleepers, sufficient but irregular sleepers, nappers, and short, dissatisfied, and inefficient sleepers. The profiles differentially related to well-being outcomes above and beyond individual sleep dimensions and sociodemographic covariates. Good sleepers generally reported the best outcomes, and short, dissatisfied, and inefficient sleepers generally reported the worst outcomes. CONCLUSION Four common sleep profiles describe adults' holistic sleep experiences and predict a variety of well-being outcomes beyond other known predictors. In adulthood, healthy sleep may involve sufficient sleep across all dimensions whereas unhealthy sleep may involve insufficient sleep across three key dimensions: duration, satisfaction, and efficiency.
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Affiliation(s)
- Claire E Smith
- School of Aging Studies, University of South Florida, 4202 East Fowler Avenue, Tampa, FL, 33620, USA; Department of Psychology, Bowling Green State University, 822 East Merry Avenue, Bowling Green, OH, 43403, USA.
| | - Soomi Lee
- School of Aging Studies, University of South Florida, 4202 East Fowler Avenue, Tampa, FL, 33620, USA
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37
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Appleton SL, Melaku YA, Reynolds AC, Gill TK, de Batlle J, Adams RJ. Multidimensional sleep health is associated with mental well-being in Australian adults. J Sleep Res 2021; 31:e13477. [PMID: 34622511 DOI: 10.1111/jsr.13477] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 07/13/2021] [Accepted: 08/21/2021] [Indexed: 01/18/2023]
Abstract
The few studies assessing the relationship between mental health and a multidimensional measure of sleep have been conducted in samples of almost exclusively women. In the present study, we therefore assessed associations of multidimensional sleep health with mental well-being in Australian adults. A cross-sectional, national online survey of sleep health was conducted in 2019 in 2,044 community dwelling adults aged 18-90 years. Composite scores of self-reported healthy sleep were based on Ru-SATED (R-SATED) dimensions of satisfaction, alertness, timing, efficiency and duration scored 0 (never/rarely), 1 (sometimes) or 2 (usually/always), and regularity (social jet lag) was scored 0 (≥1 hr) or 1 (<1 hr). Mental well-being was identified by a report of no problem on the EuroQol (European quality of life) five dimension five level scale (EQ-5D-5L) anxiety/depression scale, as well as absence of six chronic depressive symptoms. Ordinal logistic regression analyses determined associations of mental well-being with sleep dimensions, and total R-SATED (range 0-11) and SATED scores (0-10), adjusted for sociodemographic and health factors. In males and females, healthy categories of SATED dimensions (but not regularity) were associated with mental well-being. A 1 unit increase in the total SATED score (mean [SD] 6.6 [2.1]) was associated with less problems on the EQ-5D-5L (odds ratio [OR] 1.11, 95% confidence interval [CI] 1.08-1.14) and fewer chronic depressive symptoms (OR 1.20, 95% CI 1.17-1.23). These estimates did not differ when the total R-SATED score was considered. Sleep health promotion focussing solely on traditional messaging around healthy sleep duration may limit mental health gains. Rather, a more holistic approach to public health messaging to improve sleep health literacy may be beneficial for mental well-being.
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Affiliation(s)
- Sarah L Appleton
- Flinders Health and Medical Research Institute (FHMRI) Sleep (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Yohannes Adama Melaku
- Flinders Health and Medical Research Institute (FHMRI) Sleep (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Amy C Reynolds
- Flinders Health and Medical Research Institute (FHMRI) Sleep (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Tiffany K Gill
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | - Jordi de Batlle
- Group of Translational Research in Respiratory Medicine, Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain.,Centre for Biomedical Network Research in Respiratory Diseases (CIBERES), Madrid, Spain
| | - Robert J Adams
- Flinders Health and Medical Research Institute (FHMRI) Sleep (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
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38
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Evidence of an Association of Obstructive Sleep Apnea with Diabetes and Diabetic Complications. CURRENT SLEEP MEDICINE REPORTS 2021. [DOI: 10.1007/s40675-021-00217-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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39
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Myllyntausta S, Kronholm E, Pulakka A, Pentti J, Vahtera J, Virtanen M, Stenholm S. Association of job strain with accelerometer-based sleep duration and timing of sleep among older employees. J Sleep Res 2021; 31:e13498. [PMID: 34590757 DOI: 10.1111/jsr.13498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 08/18/2021] [Accepted: 09/15/2021] [Indexed: 10/20/2022]
Abstract
Job strain has been associated with poor sleep quality and could lead to changes in duration and timing of sleep as well. This study examined the association of job strain with sleep duration, bedtimes and awakening times among public sector employees close to their retirement age. Differences in these sleep parameters between workdays and free days across job strain groups were examined. Duration and timing of sleep were measured repeatedly with accelerometers among 466 public sector employees in Finland (mean age 63 years, 86% women), who contributed to 759 measurements in total. Job demands (low/high) and control (low/high) measured by self-reports and job exposure matrix were used to identify low strain (low demand, high control), passive (low, low), active (high, high) and high strain (high, low) jobs. No differences in sleep duration were observed on workdays, whereas on free days those in the high strain group had longer sleep duration than those in the low strain and passive job groups. The high strain group also extended their sleep from workdays to free days more, the extension being on average 59 min (95% CI 42 min-75 min) when adjusted for several sociodemographic, work and health factors. This extension of sleep duration resulted mostly from a greater delay of awakening times from workdays to free days. Psychosocial work factors, such as job strain, need to be considered when promoting sufficient sleep duration among older employees, as those with job strain may have a greater need for recovery and sleep.
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Affiliation(s)
- Saana Myllyntausta
- School of Educational Sciences and Psychology, Psychology, University of Eastern Finland, Joensuu, Finland.,Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland.,Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Erkki Kronholm
- Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland
| | - Anna Pulakka
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jaana Pentti
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.,Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jussi Vahtera
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Marianna Virtanen
- School of Educational Sciences and Psychology, Psychology, University of Eastern Finland, Joensuu, Finland.,Division of Insurance Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Sari Stenholm
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
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40
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De Francesco D, Sabin CA, Winston A, Rueschman MN, Doyle ND, Anderson J, Vera JH, Boffito M, Sachikonye M, Mallon PWG, Haddow L, Post FA, Redline S, Kunisaki KM. Sleep health and cognitive function among people with and without HIV: the use of different machine learning approaches. Sleep 2021; 44:zsab035. [PMID: 33592094 PMCID: PMC8361343 DOI: 10.1093/sleep/zsab035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 01/06/2021] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES We investigated associations between actigraphy-assessed sleep measures and cognitive function in people with and without HIV using different analytical approaches to better understand these associations and highlight differences in results obtained by these approaches. METHODS Cognitive and 7-day/night actigraphy data were collected from people with HIV (PWH) and lifestyle-similar HIV-negative individuals from HIV and sexual health clinics in the United Kingdom/Ireland. A global cognitive T-score was obtained averaging the standardized individual cognitive test scores accounting for sociodemographics. Average and SD of 11 sleep measures over 7 days/nights were obtained. Rank regression, partial least-squares (PLS) regression, random forest, sleep dimension construct, and latent class analysis (LCA) were applied to evaluate associations between global T-scores and sleep measures. RESULTS In 344 PWH (median age 57 years, 86% males), average sleep duration, efficiency, and wake after sleep onset were not associated with global T-scores according to rank regression (p = 0.51, p = 0.09, p = 0.16, respectively). In contrast, global T-scores were associated with average and SD of length of nocturnal awakenings, SD of maintenance efficiency, and average out-of-bed time when analyzed by PLS regression and random forest. No associations were found when using sleep dimensions or LCA. Overall, findings observed in PWH were similar to those seen in HIV-negative individuals (median age 61 years, 67% males). CONCLUSIONS Using multivariable analytical approaches, measures of sleep continuity, timing, and regularity were associated with cognitive performance in PWH, supporting the utility of newer methods of incorporating multiple standard and novel measures of sleep-wake patterns in the assessment of health and functioning.
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Affiliation(s)
| | - Caroline A Sabin
- Institute for Global Health, University College London, London, UK
| | - Alan Winston
- Department of Infectious Disease, Imperial College London, London, UK
| | - Michael N Rueschman
- Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Harvard University, Boston, MA, USA
| | - Nicki D Doyle
- Department of Infectious Disease, Imperial College London, London, UK
| | | | - Jaime H Vera
- Brighton and Sussex Medical School, Brighton, UK
| | - Marta Boffito
- Chelsea and Westminster Healthcare NHS Foundation Trust, London, UK
| | | | | | - Lewis Haddow
- Institute for Global Health, University College London, London, UK
- Kingston Hospital NHS Foundation Trust, London, UK
| | - Frank A Post
- King’s College Hospital NHS Foundation Trust, London, UK
| | - Susan Redline
- Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Harvard University, Boston, MA, USA
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Ken M Kunisaki
- Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA
- University of Minnesota, Minneapolis, MN, USA
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41
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Matricciani L, Paquet C, Fraysse F, Grobler A, Wang Y, Baur L, Juonala M, Nguyen MT, Ranganathan S, Burgner D, Wake M, Olds T. Sleep and cardiometabolic risk: a cluster analysis of actigraphy-derived sleep profiles in adults and children. Sleep 2021; 44:6124580. [PMID: 33515457 DOI: 10.1093/sleep/zsab014] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 12/21/2020] [Indexed: 12/16/2022] Open
Abstract
STUDY OBJECTIVES Sleep plays an important role in cardiometabolic health. Although the importance of considering sleep as a multidimensional construct is widely appreciated, studies have largely focused on individual sleep characteristics. The association between actigraphy-derived sleep profiles and cardiometabolic health in healthy adults and children has not been examined. METHODS This study used actigraphy-measured sleep data collected between February 2015 and March 2016 in the Child Health CheckPoint study. Participants wore actigraphy monitors (GENEActiv Original, Cambs, UK) on their nondominant wrist for 7 days and sleep characteristics (period, efficiency, timing, and variability) were derived from raw actigraphy data. Actigraphy-derived sleep profiles of 1,043 Australian children aged 11-12 years and 1,337 adults were determined using K-means cluster analysis. The association between cluster membership and biomarkers of cardiometabolic health (blood pressure, body mass index, apolipoproteins, glycoprotein acetyls, composite metabolic syndrome severity score) were assessed using Generalized Estimating Equations, adjusting for geographic clustering, with sex, socioeconomic status, maturity stage (age for adults, pubertal status for children), and season of data collection as covariates. RESULTS Four actigraphy-derived sleep profiles were identified in both children and adults: short sleepers, late to bed, long sleepers, and overall good sleepers. The overall good sleeper pattern (characterized by adequate sleep period time, high efficiency, early bedtime, and low day-to-day variability) was associated with better cardiometabolic health in the majority of comparisons (80%). CONCLUSION Actigraphy-derived sleep profiles are associated with cardiometabolic health in adults and children. The overall good sleeper pattern is associated with more favorable cardiometabolic health.
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Affiliation(s)
- Lisa Matricciani
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA, Australia
| | - Catherine Paquet
- Australian Centre for Precision Health, University of South Australia, Adelaide, SA, Australia.,Faculté des Sciences de l'Administration, Université Laval, Québec, QC, Canada
| | - François Fraysse
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA, Australia
| | - Anneke Grobler
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia.,Murdoch Children's Research Institute, Parkville, VIC,Australia
| | - Yichao Wang
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia.,Murdoch Children's Research Institute, Parkville, VIC,Australia
| | - Louise Baur
- The University of Sydney, Sydney, NSW,Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland and Division of Medicine, Turku University Hospital, Turku, Finland
| | - Minh Thien Nguyen
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia.,Murdoch Children's Research Institute, Parkville, VIC,Australia
| | - Sarath Ranganathan
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia.,Murdoch Children's Research Institute, Parkville, VIC,Australia.,Respiratory Medicine, Royal Children's Hospital, Parkville, VIC, Australia
| | - David Burgner
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia.,Murdoch Children's Research Institute, Parkville, VIC,Australia.,Department of General Medicine, Royal Children's Hospital, Parkville, VIC, Australia.,Department of Paediatrics, Monash University, Clayton, VIC, Australia
| | - Melissa Wake
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia.,The University of Auckland, Grafton, Auckland, New Zealand.,Murdoch Children's Research Institute, Parkville, VIC,Australia
| | - Tim Olds
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA, Australia
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Akutay S, Yilmaz M. The relationship between pain severity and sleep quality: Posttube thoracostomy. Nurs Forum 2021; 56:860-868. [PMID: 34263967 DOI: 10.1111/nuf.12630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 06/18/2021] [Accepted: 06/19/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND The presence of a chest tube is a factor significantly associated with pain and pain posttube thoracostomy that negatively affects sleep quality (SQ). AIM To determine the relationship between the pain severity and SQ of patients who underwent the tube thoracostomy (TT). METHODS This was a descriptive and cross-sectional survey conducted from May 1, 2018, to December 30, 2018, in the thoracic surgery department of Sivas Cumhuriyet University Hospital in Central Anatolia/Turkey. Data were collected using a questionnaire form, a Numerical Rating Scale to determine pain severity, and the Richard-Campbell Sleep Questionnaire to assess SQ. RESULTS The study was carried out with 102 patients who underwent the TT. The mean age of the participants were 48.94 years. The mean scores for the scale items indicated that during the procedure and on the first day of post-TT, the pain severity of the patients was very high, their SQ was low. Pain level decreased gradually in the following days, and the SQ increased. There was a positive, strong correlation between the post-TT first day pain and first night SQ (r = 0.380, p = 0.000), second day pain and second night SQ (r = -0.537, p = 0.000), and third day pain and third night SQ (r = -0.507, p = 0.000). CONCLUSION The results of this study highlight that the pain severity of post-TT significantly affect the quality of the patients' night sleep.
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Affiliation(s)
- Seda Akutay
- Division of Nursing, Department of Surgical Nursing, Faculty of Health Sciences, Erciyes University, Kayseri, Turkey
| | - Meryem Yilmaz
- Division of Nursing, Department of Surgical Nursing, Faculty of Health Sciences, Sivas Cumhuriyet University, Sivas, Turkey
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Huang WY, Ho RST, Tremblay MS, Wong SHS. Relationships of physical activity and sedentary behaviour with the previous and subsequent nights' sleep in children and youth: A systematic review and meta-analysis. J Sleep Res 2021; 30:e13378. [PMID: 34235808 DOI: 10.1111/jsr.13378] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 04/01/2021] [Accepted: 04/12/2021] [Indexed: 01/11/2023]
Abstract
The interrelationships between sleep and daytime movement behaviours have been examined at interindividual level. Studies of within-person, temporal relationships of daytime physical activity (PA) and sedentary behaviour with the previous and subsequent nights' sleep are increasing. The present systematic review and meta-analysis synthesised the results of studies in school-aged children and youth. Eight databases (MEDLINE, PsycINFO, EMBASE, Global Health, PubMed, Web of Science, SPORTDiscus, and CINAHL) were searched for peer-reviewed articles that examined the association between daytime movement behaviours (including PA, sedentary time, or sedentary recreational screen time) and night-time sleep on the same day, or the association between night-time sleep and daytime movement behaviours the next day, in children and youth. A total of 11 studies comprising 9,622 children and youth aged 5-15 years met the inclusion criteria. Sedentary time was negatively associated with the subsequent night's sleep duration (r = -0.12, 95% confidence interval -0.23 to -0.00; I2 = 93%; p = .04). Positive relationships between PA and the previous or subsequent night's sleep duration were observed only for studies that adjusted for accelerometer wear time. There was some evidence suggesting that a longer sleep duration was associated with less sedentary time and a higher proportion of the daytime spent being physically active and vice versa, although the association was weak and based on a limited number of studies. From a clinical perspective, promotion of either sleep hygiene or daytime PA should be planned with considerations of the virtuous or vicious circle between these behaviours and monitor concurrent effects on the others.
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Affiliation(s)
- Wendy Yajun Huang
- Centre for Health and Exercise Science Research, Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China
| | - Robin Sze-Tak Ho
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China
| | - Mark S Tremblay
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada
| | - Stephen Heung-Sang Wong
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China
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Naito R, Yun Low W, Wan Yuen C. Sleep Deprivation and Its Associated Factors Among Undergraduate Students in Malaysia. Asia Pac J Public Health 2021; 33:530-538. [PMID: 34137287 DOI: 10.1177/10105395211019930] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This cross-sectional study examines the prevalence of sleep deprivation and its associated factors among 1017 undergraduate students in Malaysia. Sociodemographic and lifestyle factors such as smoking, alcohol, dietary habits, Internet/smartphone use, physical activity, and sedentary behavior were assessed. Sleep deprivation was defined as sleeping less than 7 hours in a day. There were almost equal proportions of females (51.0%) and males (49.0%), and the average age was 20.71 ± 1.47 years. Prevalence of sleep deprivation was 58.1% and its associated factors were students in Year 3 (adjusted odds ratio [AOR] = 0.52, 95% confidence interval [CI] = 0.35-0.77) and Year 4 (AOR = 0.65, 95% CI = 0.45-0.95), Chinese ethnicity (AOR = 0.44, 95% CI = 0.34-0.59), Indian ethnicity (AOR = 0.49, 95% CI = 0.25-0.96), and consuming fast food more than once a week (AOR = 0.69, 95% CI = 0.51-0.93). Understanding the associated lifestyle factors with sleep deprivation among young generation will be beneficial to develop public health policies and programs to tackle the issue.
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Affiliation(s)
- Rika Naito
- École des Hautes Études en Santé Publique, Paris, France
| | - Wah Yun Low
- Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.,Asia-Europe Institute, University of Malaya, Kuala Lumpur, Malaysia
| | - Choo Wan Yuen
- Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
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45
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Gallego-Gómez JI, González-Moro MTR, González-Moro JMR, Vera-Catalán T, Balanza S, Simonelli-Muñoz AJ, Rivera-Caravaca JM. Relationship between sleep habits and academic performance in university Nursing students. BMC Nurs 2021; 20:100. [PMID: 34140029 PMCID: PMC8212524 DOI: 10.1186/s12912-021-00635-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 06/10/2021] [Indexed: 11/25/2022] Open
Abstract
Background Sleep disorders are composed of a group of diseases of increasing prevalence and with social-health implications to be considered a public health problem. Sleep habits and specific sleep behaviors have an influence on the academic success of students. However, the characteristics of sleep and sleep habits of university students as predictors of poor academic performance have been scarcely analyzed. In the present study, we aimed to investigate sleep habits and their influence on academic performance in a cohort of Nursing Degree students. Methods This was a cross-sectional and observational study. An anonymous and self-administered questionnaire was used, including different scales such as the ‘Morningness and Eveningness scale’, an author-generated sleep habit questionnaire, and certain variables aimed at studying the socio-familial and academic aspects of the Nursing students. The association of sleep habits and other variables with poor academic performance was investigated by logistic regression. The internal consistency and homogeneity of the ‘sleep habits questionnaire’ was assessed with the Cronbach’s alpha test. Results Overall, 401 students (mean age of 22.1 ± 4.9 years, 74.8 % females) from the Nursing Degree were included. The homogeneity of the ‘sleep habits questionnaire’ was appropriate (Cronbach’s alpha = 0.710). Nursing students were characterized by an evening chronotype (20.2 %) and a short sleep pattern. 30.4 % of the Nursing students had bad sleep habits. Regarding the academic performance, 47.9 % of the students showed a poor one. On multivariate logistic regression analysis, a short sleep pattern (adjusted OR = 1.53, 95 % CI 1.01–2.34), bad sleep habits (aOR = 1.76, 95 % CI 1.11–2.79), and age < 25 years (aOR = 2.27, 95 % CI 1.30–3.98) were independently associated with a higher probability of poor academic performance. Conclusions Almost 1/3 of the Nursing students were identified as having bad sleep habits, and these students were characterized by an evening chronotype and a short sleep pattern. A short sleep pattern, bad sleep habits, and age < 25 years, were independently associated with a higher risk of poor academic performance. This requires multifactorial approaches and the involvement of all the associated actors: teachers, academic institutions, health institutions, and the people in charge in university residences, among others. Supplementary Information The online version contains supplementary material available at 10.1186/s12912-021-00635-x.
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Affiliation(s)
| | | | | | - Tomás Vera-Catalán
- Faculty of Health Sciences, Catholic University of Murcia, 30107, Murcia, Spain
| | - Serafín Balanza
- Faculty of Health Sciences, Catholic University of Murcia, 30107, Murcia, Spain
| | - Agustín Javier Simonelli-Muñoz
- Department of Nursing, Physiotherapy and Medicine, Faculty of Health Sciences,, University of Almería, Ctra. Sacramento, s/n 04120 La Cañada de San Urbano, 04007, Almería, Spain.
| | - José Miguel Rivera-Caravaca
- Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), CIBERCV, 30120, Murcia, Spain
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46
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Kastelic K, Pedišić Ž, Lipovac D, Kastelic N, Chen ST, Šarabon N. Associations of meeting 24-h movement guidelines with stress and self-rated health among adults: is meeting more guidelines associated with greater benefits? BMC Public Health 2021; 21:929. [PMID: 34001090 PMCID: PMC8127279 DOI: 10.1186/s12889-021-10979-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 04/28/2021] [Indexed: 01/24/2023] Open
Abstract
Background Several countries have recently issued 24-h movement guidelines that include quantitative recommendations for moderate-to-vigorous physical activity (MVPA), sedentary behaviour (SB), and sleep. This study explored the associations of meeting the 24-h movement guidelines with stress and self-rated health among adults, and whether the likelihood of favourable outcomes increases with the number of guidelines met. Methods A total of 2476 adults aged 18 years and over completed a questionnaire on their time spent in MVPA, SB and sleep, frequency of stress (never, very rarely, occasionally, often, every day), self-rated health (very good, good, fair, bad, very bad), sociodemographic characteristics, and lifestyle variables. Results In an ordinal logistic regression analysis adjusted for age, sex, body mass index, education, socio-economic status, employment, place of residence, living with or without partner, and smoking, lower odds of higher frequency of stress were found for those meeting the combined 24-h movement guidelines (adjusted odds ratio [OR] = 0.45; 95% confidence interval [CI]: 0.32, 0.63; p < 0.001), any combination of two guidelines (OR range: 0.48–0.63; p < 0.05 for all), and sleep guideline only (OR = 0.51; 95% CI: 0.35, 0.75; p = 0.001). Higher odds of better self-rated health were found for those meeting the combined 24-h movement guidelines (OR = 2.94; 95% CI: 2.07, 4.19; p < 0.001), combination of MVPA and SB guidelines (OR = 2.33; 95% CI: 1.57, 3.44; p < 0.001), combination of MVPA and sleep guidelines (OR = 1.78; 95% CI: 1.23, 2.59; p = 0.002), and MVPA guideline only (OR = 2.24; 95% CI: 1.50, 3.36; p < 0.001). Meeting more guidelines was associated with greater odds of favourable outcomes (p for linear trend < 0.001). Conclusion Adults who meet the sleep guideline, any combination of two guidelines, or all three guidelines experience stress less frequently. Meeting the MVPA guideline alone or in combination with any other movement behaviour guideline was associated with better self-rated health. The likelihood of less frequent stress and better self-rated health increases with the number of guidelines met. Adults should be encouraged to meet as many movement behaviour guidelines as possible.
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Affiliation(s)
- Kaja Kastelic
- University of Primorska, Andrej Marušič Institute, Koper, Slovenia.,InnoRenew CoE, Izola, Slovenia
| | - Željko Pedišić
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Dean Lipovac
- University of Primorska, Andrej Marušič Institute, Koper, Slovenia.,InnoRenew CoE, Izola, Slovenia
| | - Nika Kastelic
- Health Centre Murska Sobota, Murska Sobota, Slovenia
| | - Si-Tong Chen
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Nejc Šarabon
- InnoRenew CoE, Izola, Slovenia. .,University of Primorska, Faculty of Health Sciences, Izola, Slovenia.
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47
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Jalbrzikowski M, Hayes RA, Scully KE, Franzen PL, Hasler BP, Siegle GJ, Buysse DJ, Dahl RE, Forbes EE, Ladouceur CD, McMakin DL, Ryan ND, Silk JS, Goldstein TR, Soehner AM. Associations between brain structure and sleep patterns across adolescent development. Sleep 2021; 44:6273224. [PMID: 33971013 PMCID: PMC8503824 DOI: 10.1093/sleep/zsab120] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/21/2021] [Indexed: 01/05/2023] Open
Abstract
STUDY OBJECTIVES Structural brain maturation and sleep are complex processes that exhibit significant changes over adolescence and are linked to many physical and mental health outcomes. We investigated whether sleep-gray matter relationships are developmentally invariant (i.e. stable across age) or developmentally specific (i.e. only present during discrete time windows) from late childhood through young adulthood. METHODS We constructed the Neuroimaging and Pediatric Sleep Databank from eight research studies conducted at the University of Pittsburgh (2009-2020). Participants completed a T1-weighted structural MRI scan (sMRI) and 5-7 days of wrist actigraphy to assess naturalistic sleep. The final analytic sample consisted of 225 participants without current psychiatric diagnoses (9-25 years). We extracted cortical thickness and subcortical volumes from sMRI. Sleep patterns (duration, timing, continuity, regularity) were estimated from wrist actigraphy. Using regularized regression, we examined cross-sectional associations between sMRI measures and sleep patterns, as well as the effects of age, sex, and their interaction with sMRI measures on sleep. RESULTS Shorter sleep duration, later sleep timing, and poorer sleep continuity were associated with thinner cortex and altered subcortical volumes in diverse brain regions across adolescence. In a discrete subset of regions (e.g. posterior cingulate), thinner cortex was associated with these sleep patterns from late childhood through early-to-mid adolescence but not in late adolescence and young adulthood. CONCLUSIONS In childhood and adolescence, developmentally invariant and developmentally specific associations exist between sleep patterns and gray matter structure, across brain regions linked to sensory, cognitive, and emotional processes. Sleep intervention during specific developmental periods could potentially promote healthier neurodevelopmental outcomes.
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Affiliation(s)
- Maria Jalbrzikowski
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Rebecca A Hayes
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Kathleen E Scully
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Peter L Franzen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA,Department of Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Greg J Siegle
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA,Department of Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA,Department of Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Ronald E Dahl
- Department of Public Health, University of California, Berkeley, CA
| | - Erika E Forbes
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA,Department of Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, PA,Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Cecile D Ladouceur
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Dana L McMakin
- Department of Psychology, Florida International University, Miami, FL
| | - Neal D Ryan
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Jennifer S Silk
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA
| | - Tina R Goldstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Adriane M Soehner
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA,Corresponding author. Adriane Soehner, Department of Psychiatry, University of Pittsburgh, Loeffler Building, Room 304, 121 Meyran Ave, Pittsburgh, PA 15213, USA.
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48
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Sutanto CN, Loh WW, Kim JE. The impact of tryptophan supplementation on sleep quality: a systematic review, meta-analysis, and meta-regression. Nutr Rev 2021; 80:306-316. [PMID: 33942088 DOI: 10.1093/nutrit/nuab027] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 02/09/2021] [Accepted: 03/13/2021] [Indexed: 11/13/2022] Open
Abstract
CONTEXT L-tryptophan (Trp) has been documented to aid sleep, but a systematic compilation of its effect on sleep quality is still limited. OBJECTIVE We assessed the effect of Trp supplementation on sleep quality via meta-analysis and meta-regression. The effects of daily Trp dose (<1 g and ≥1 g) were also assessed. DATA SOURCES A database search was done in PubMed, Medline (Ovid), Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Cochrane and a total of 18 articles were collected. DATA EXTRACTION Extracted data from 4 articles were also analyzed using random-effect meta-analysis and meta-regression. Standardized mean difference (SMD) was used in meta-analysis. DATA ANALYSIS Results from the study suggested that Trp supplementation can shorten wake after sleep onset (-81.03 min/g, P = 0.017; SMD, -1.08 min [95%CI, -1.89 to -0.28]). In addition, the group receiving ≥1 g Trp supplementation had a shorter wake after sleep onset than the group with Trp < 1g supplementation (Trp <1 g vs Trp ≥1 g: 56.55 vs 28.91 min; P = 0.001). However, Trp supplementation did not affect other sleep components. CONCLUSION Trp supplementation, especially at ≥1 g can help improve sleep quality.
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Affiliation(s)
- Clarinda N Sutanto
- C.N. Sutanto, W.W. Loh, and J.E. Kim are with Department of Food Science and Technology, Faculty of Science, National University of Singapore, Singapore
| | - Wen Wei Loh
- C.N. Sutanto, W.W. Loh, and J.E. Kim are with Department of Food Science and Technology, Faculty of Science, National University of Singapore, Singapore
| | - Jung Eun Kim
- C.N. Sutanto, W.W. Loh, and J.E. Kim are with Department of Food Science and Technology, Faculty of Science, National University of Singapore, Singapore
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Fangupo LJ, Haszard JJ, Reynolds AN, Lucas AW, McIntosh DR, Richards R, Camp J, Galland BC, Smith C, Taylor RW. Do sleep interventions change sleep duration in children aged 0-5 years? A systematic review and meta-analysis of randomised controlled trials. Sleep Med Rev 2021; 59:101498. [PMID: 34029803 DOI: 10.1016/j.smrv.2021.101498] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 04/12/2021] [Accepted: 04/22/2021] [Indexed: 11/25/2022]
Abstract
This review investigated whether randomised controlled trials attempting to improve sleep or prevent sleep problems in 0-5 year olds influenced nocturnal sleep duration, day-time naps, or 24-h sleep. Medline (Ovid), EMBASE, and CINAHL were searched from inception until 9 July 2020 and supplemented with hand searching. Search results were screened, eligible data were extracted, and risk of bias was assessed by at least two reviewers. Of 8571 publications considered, 32 trials which used a variety of subjective and objective sleep measurements were included in generic inverse variance random effects meta-analysis of nocturnal (n = 24), day-time (n = 14), and 24-h (n = 13) sleep duration. Overall, sleep interventions increased nocturnal sleep duration by a mean of 9 min (95% CI 4.1 to 13.8, I228%) per night when compared with no sleep intervention. Increases were predominantly seen in sleep-only, rather than multi-component interventions. Total 24-h sleep duration tended to increase by a similar amount (8.6 min (95% CI -2.7 to 19.8, I2 = 59%)), but this was mainly only seen in studies that assessed sleep using diaries. There was no evidence that interventions changed day-time sleep duration. Future studies should involve sleep-only rather than multi-component interventions, and use objective sleep measures (reviewregistry857).
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Affiliation(s)
| | | | | | - Albany W Lucas
- Centre for Pacific Health, University of Otago, New Zealand
| | | | | | - Justine Camp
- Department of Medicine, University of Otago, New Zealand
| | - Barbara C Galland
- Department of Women and Children's Health, University of Otago, New Zealand
| | - Claire Smith
- Department of Human Nutrition, University of Otago, New Zealand
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50
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Kline CE, Chasens ER, Bizhanova Z, Sereika SM, Buysse DJ, Imes CC, Kariuki JK, Mendez DD, Cajita MI, Rathbun SL, Burke LE. The association between sleep health and weight change during a 12-month behavioral weight loss intervention. Int J Obes (Lond) 2021; 45:639-649. [PMID: 33414489 PMCID: PMC7914147 DOI: 10.1038/s41366-020-00728-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 10/20/2020] [Accepted: 12/09/2020] [Indexed: 01/29/2023]
Abstract
BACKGROUND Prior research on the relationship between sleep and attempted weight loss failed to recognize the multidimensional nature of sleep. We examined the relationship between a composite measure of sleep health and change in weight and body composition among adults in a weight loss intervention. METHODS Adults (N = 125) with overweight or obesity (50.3 ± 10.6 years, 91% female, 81% white) participated in a 12-month behavioral weight loss intervention, with assessments of sleep, weight, fat mass, and fat-free mass at baseline, 6 months, and 12 months. Six sleep dimensions (regularity, satisfaction, alertness, timing, efficiency, and duration) were categorized as "good" or "poor" using questionnaires and actigraphy. A composite score was calculated by summing the number of "good" dimensions. Obstructive sleep apnea (OSA) was assessed in a subsample (n = 117), using the apnea-hypopnea index (AHI) to determine OSA severity. Linear mixed modeling was used to examine the relationships between sleep health and outcomes of percent weight, fat mass, or fat-free mass change during the subsequent 6-month interval, adjusting for age, sex, bed partner, and race; an additional model adjusted for AHI. RESULTS Mean baseline and 6-month sleep health was 4.5 ± 1.1 and 4.5 ± 1.2, respectively. Mean weight, fat mass, and fat-free mass changes from 0 to 6 months were -9.3 ± 6.1%, -16.9 ± 13.5%, and -3.4 ± 3.4%, respectively, and 0.4 ± 4.8%, -0.3 ± 10.3%, and 0.7 ± 4.1% from 6 to 12 months. Better sleep health was associated with greater subsequent weight loss (P = 0.016) and fat loss (P = 0.006), but not fat-free mass loss (P = 0.232). Following AHI adjustment, the association between sleep health and weight loss was attenuated (P = 0.102) but remained significant with fat loss (P = 0.040). Regularity, satisfaction, timing, and efficiency were each associated with weight and/or fat loss (P ≤ 0.041). CONCLUSIONS Better sleep health was associated with greater weight and fat loss, with associations attenuated after accounting for OSA severity. Future studies should explore whether improving sleep health, OSA, or the combination improves weight loss.
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Affiliation(s)
- Christopher E. Kline
- Department of Health and Human Development, University of Pittsburgh, Pittsburgh, PA
| | | | - Zhadyra Bizhanova
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA
| | - Susan M. Sereika
- School of Nursing, University of Pittsburgh, Pittsburgh, PA;,Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA;,Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA
| | - Daniel J. Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | | | | | - Dara D. Mendez
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA
| | - Mia I. Cajita
- Department of Biobehavioral Health Science, University of Illinois, Chicago, IL
| | - Stephen L. Rathbun
- Department of Epidemiology & Biostatistics, University of Georgia, Athens, GA
| | - Lora E. Burke
- School of Nursing, University of Pittsburgh, Pittsburgh, PA;,Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA
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