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Santos IS, Echevarria P, Tovo-Rodrigues L, Matijasevich A, Domingues MR, Hallal PC. Are nocturnal awakenings at age 1 predictive of sleep duration and efficiency at age 6: Results from two birth cohorts. Sleep Med X 2024; 7:100105. [PMID: 38312370 PMCID: PMC10837084 DOI: 10.1016/j.sleepx.2024.100105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 02/06/2024] Open
Abstract
Objective To investigate the association of nighttime awakenings at 12 months with the duration and efficiency of nighttime sleep at 6 years of age. Methods Data from two population-based prospective studies (The Pelotas 2004 and The Pelotas 2015 Birth Cohorts) were used. Information on nighttime awakenings was provided by mothers during the 12-month follow-up interview. Infants who awakened >3 times after sleep onset at 12 months were considered frequent wakeners. Sleep duration and sleep efficiency were obtained by actigraphy at the 6-year follow-up. Children wore the device at the wrist of the non-dominant arm continuously for 3-7 days, including at least one weekend day. Unadjusted and adjusted beta coefficients were obtained by linear regression for each cohort separately. Results 2500 children from the 2004 and 2793 from the 2015 cohort had full information on nighttime awakenings at 12 months and actigraphy at 6 years and were analyzed. Prevalence of frequent wakeners was 6.3 % and 5.9 % in the 2004 and 2015 cohort, respectively. Mean bedtime and wake-up time at 6 years were, respectively, 23:23 and 08:41 h in the 2004 cohort, and 00:10 and 09:00 h int the 2015 cohort. Nighttime sleep lasted on average 7.54 and 7.24 h respectively in the 2004 and the 2015 cohort, and the sleep efficiency was 81.1 and 82.5 % respectively. In adjusted analyses, no associations were found between awakening at 12 months and sleep duration or sleep efficiency at 6 years of age. Conclusion In both cohorts sleep duration and efficiency were below the recommendation for school-age children (respectively 9-11 h and 85 %). There was no relationship between the number of nighttime awakenings at 12 months and sleep duration or efficiency at 6 years.
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Affiliation(s)
- Ina S. Santos
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Brazil
| | - Priscila Echevarria
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Brazil
| | | | - Alicia Matijasevich
- Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de São Paulo, SP, Brazil
| | - Marlos R. Domingues
- Post-graduate Program in Physical Education, Federal University of Pelotas, Brazil
| | - Pedro C. Hallal
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Brazil
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Danilevicz IM, van Hees VT, van der Heide FCT, Jacob L, Landré B, Benadjaoud MA, Sabia S. Measures of fragmentation of rest activity patterns: mathematical properties and interpretability based on accelerometer real life data. BMC Med Res Methodol 2024; 24:132. [PMID: 38849718 DOI: 10.1186/s12874-024-02255-w] [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: 11/02/2023] [Accepted: 05/24/2024] [Indexed: 06/09/2024] Open
Abstract
Accelerometers, devices that measure body movements, have become valuable tools for studying the fragmentation of rest-activity patterns, a core circadian rhythm dimension, using metrics such as inter-daily stability (IS), intradaily variability (IV), transition probability (TP), and self-similarity parameter (named α ). However, their use remains mainly empirical. Therefore, we investigated the mathematical properties and interpretability of rest-activity fragmentation metrics by providing mathematical proofs for the ranges of IS and IV, proposing maximum likelihood and Bayesian estimators for TP, introducing the activity balance index (ABI) metric, a transformation of α , and describing distributions of these metrics in real-life setting. Analysis of accelerometer data from 2,859 individuals (age=60-83 years, 21.1% women) from the Whitehall II cohort (UK) shows modest correlations between the metrics, except for ABI and α . Sociodemographic (age, sex, education, employment status) and clinical (body mass index (BMI), and number of morbidities) factors were associated with these metrics, with differences observed according to metrics. For example, a difference of 5 units in BMI was associated with all metrics (differences ranging between -0.261 (95% CI -0.302, -0.220) to 0.228 (0.18, 0.268) for standardised TP rest to activity during the awake period and TP activity to rest during the awake period, respectively). These results reinforce the value of these rest-activity fragmentation metrics in epidemiological and clinical studies to examine their role for health. This paper expands on a set of methods that have previously demonstrated empirical value, improves the theoretical foundation for these methods, and evaluates their empirical use in a large dataset.
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Affiliation(s)
- Ian Meneghel Danilevicz
- Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France
| | | | - Frank C T van der Heide
- Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France
| | - Louis Jacob
- Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France
| | - Benjamin Landré
- Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France
| | - Mohamed Amine Benadjaoud
- Institut de Radioprotection et de Sûreté Nucléaire (IRSN), 31 Av Division Leclerc, 92260, Fontenay-Aux-Roses, France
| | - Séverine Sabia
- Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France.
- Department of Epidemiology and Public Health, University College London, London, UK.
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3
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Vinod V, Saegner K, Maetzler W, Warmerdam E, Romijnders R, Beyer T, Göder R, Hansen C, Stürner K. Objectively assessed sleep quality parameters in Multiple Sclerosis at home: Association to disease, disease severity and physical activity. Sleep Med 2024; 118:71-77. [PMID: 38613859 DOI: 10.1016/j.sleep.2024.03.025] [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: 11/28/2023] [Revised: 02/12/2024] [Accepted: 03/16/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Multiple Sclerosis (MS) is a chronic inflammatory autoimmune, neurodegenerative disease that affects regular mobility and leads predominantly to physical disability. Poor sleep quality, commonly reported in MS patients, impacts their physical activity (PA). Accelerometers monitor 24-h activity patterns, offering insights into disease progression in daily life. OBJECTIVE To test if the sleep quality variables of MS patients, as assessed with wrist-worn accelerometers, differ from those of controls and are associated with PA and disease severity variables. METHODS Seven-day raw accelerometer data collected from 40 MS patients and 24 controls was processed using an open-source GGIR package, from which variables of sleep quality (sleep efficiency, wake after sleep onset (WASO), sleep regularity index (SRI), intradaily variability (IV)) and PA (of different intensities: inactivity, light (LPA), moderate (MPA), vigorous (VPA)) were analyzed. The variables were compared between the two study groups and in MS patients, correlation tested associations among the variables of sleep quality, PA, and disease severity (assessed with the Expanded Disability Status Scale, EDSS). RESULTS Sleep efficiency was the only variable that differed significantly between MS patients and controls (lower in MS, p = 0.01). Both SRI (positively) and IV (negatively) correlated with the time spent in LPA and MPA. WASO correlated negatively with inactivity. CONCLUSION This is one of the few studies with a wrist-worn accelerometer that shows a difference in sleep efficiency between MS patients and controls and, in MS, an association of sleep quality variables with PA variables.
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Affiliation(s)
- Vaishali Vinod
- Department of Neurology, University Hospital Schleswig-Holstein, 24105, Kiel, Germany
| | - Karolina Saegner
- Department of Neurology, University Hospital Schleswig-Holstein, 24105, Kiel, Germany
| | - Walter Maetzler
- Department of Neurology, University Hospital Schleswig-Holstein, 24105, Kiel, Germany
| | - Elke Warmerdam
- Department of Neurology, University Hospital Schleswig-Holstein, 24105, Kiel, Germany
| | - Robbin Romijnders
- Department of Neurology, University Hospital Schleswig-Holstein, 24105, Kiel, Germany
| | - Thorben Beyer
- Department of Neurology, University Hospital Schleswig-Holstein, 24105, Kiel, Germany
| | - Robert Göder
- Department of Psychiatry and Psychotherapy, University Hospital Schleswig-Holstein, 24105, Kiel, Germany
| | - Clint Hansen
- Department of Neurology, University Hospital Schleswig-Holstein, 24105, Kiel, Germany.
| | - Klarissa Stürner
- Department of Neurology, University Hospital Schleswig-Holstein, 24105, Kiel, Germany
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Marmol-Perez A, Migueles JH, Ubago-Guisado E, Gil-Cosano JJ, Rodriguez-Solana A, Redondo-Tébar A, Llorente-Cantarero FJ, Labayen I, Ortega FB, Ruiz JR, Gracia-Marco L. Every Move Counts to Improve Bone Health at Clinical Sites in Young Pediatric Cancer Survivors: The iBoneFIT Project. Med Sci Sports Exerc 2024; 56:1085-1093. [PMID: 38306313 DOI: 10.1249/mss.0000000000003397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2024]
Abstract
PURPOSE We aimed to examine the associations of 24-h movement behaviors (moderate to vigorous physical activity [MVPA], light physical activity [LPA], sedentary behavior [SB], and sleep) with age-, sex-, and race-specific areal bone mineral density (aBMD) z -score parameters at clinical sites in young pediatric cancer survivors. METHODS This cross-sectional multicenter study was carried out within the iBoneFIT framework in which 116 young pediatric cancer survivors (12.1 ± 3.3 yr old; 42% female) were recruited. We obtained anthropometric and body composition data (i.e., body mass, stature, body mass index, and region-specific lean mass), time spent in movement behaviors over at least seven consecutive 24-h periods (wGT3x-BT accelerometer, ActiGraph), and aBMD z -score parameters (age-, sex-, and race-specific total at the body, total hip, femoral neck and lumbar spine). Survivors were classified according to somatic maturity (pre or peri/postpubertal depending on the estimated years from peak height velocity). The adjusted models' coefficients were used to predict the effect of reallocating time proportionally across behaviors on the outcomes. RESULTS In prepubertal young pediatric cancer survivors, reallocating time to MVPA from LPA, SB, and sleep was significantly associated with higher aBMD at total body ( B = 1.765, P = 0.005), total hip ( B = 1.709, P = 0.003), and lumbar spine ( B = 2.093, P = 0.001). In peri/postpubertal survivors, reallocating time to LPA from MVPA, SB, and sleep was significantly associated with higher aBMD at all sites ( B = 2.090 to 2.609, P = 0.003 to 0.038). Reallocating time to SB from MVPA or LPA was significantly associated with lower aBMD at most sites in prepubertal and peri/postpubertal survivors, respectively. Finally, reallocating time to sleep from MVPA, LPA, and SB was significantly associated with lower aBMD at total body ( B = -2.572, P = 0.036) and total hip ( B = -3.371, P = 0.015). CONCLUSIONS These findings suggest that every move counts and underline the benefits of increasing MVPA or LPA, when low MVPA levels are present, for bone regeneration after pediatric cancer treatment completion.
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Affiliation(s)
| | | | - Esther Ubago-Guisado
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, SPAIN
| | | | - Andrea Rodriguez-Solana
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, SPAIN
| | | | | | - Idoia Labayen
- IS (IS-FOOD), Navarra's Health Research Institute (IdiSNA), Department of Health Sciences, Public University of Navarra, Navarra, SPAIN
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5
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Poppele I, Ottiger M, Stegbauer M, Schlesinger T, Müller K. Device-assessed physical activity and sleep quality of post-COVID patients undergoing a rehabilitation program. BMC Sports Sci Med Rehabil 2024; 16:122. [PMID: 38811993 PMCID: PMC11134673 DOI: 10.1186/s13102-024-00909-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 05/20/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND An infection with SARS-CoV-2 can lead to persistent symptoms more than three months after the acute infection and has also an impact on patients' physical activity behaviour and sleep quality. There is evidence, that inpatient post-COVID rehabilitation can improve physical capacity and mental health impairments, but less is known about the change in physical behaviour and sleep quality. METHODS This longitudinal observational study used accelerometery to assess the level of physical activity and sleep quality before and after an inpatient rehabilitation program. The study sample consists of 100 post-COVID patients who acquired COVID-19 in the workplace. Group differences related to sex, age, COVID-19 severity, and pre-existing diseases were also analysed. RESULTS Level of physical activity and sleep quality didn't increase after rehabilitation. Overall, there is a high extent of inactivity time and poor sleep quality at both measurement points. Regarding group differences, male patients showed a significantly higher inactivity time before rehabilitation, and younger patients (< 55 years) spend significant more time in vigorous physical activity than older patients. Post-COVID patients with pre-existing cardiovascular, respiratory, and metabolic disease show slightly less physical activity than post-COVID patients without these comorbidities. Female patients and younger patients showed better sleep quality in some sleep parameters at both measurement points. However, no differences could be detected related to COVID-19 severity. CONCLUSIONS Ongoing strategies should be implemented to address the high amount of inactivity time and the poor sleep quality in post-COVID patients.
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Affiliation(s)
- Iris Poppele
- Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, 09107, Chemnitz, Germany.
| | - Marcel Ottiger
- Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, 09107, Chemnitz, Germany
| | - Michael Stegbauer
- BG Hospital for Occupational Disease Bad Reichenhall, 83435, Bad Reichenhall, Germany
| | - Torsten Schlesinger
- Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, 09107, Chemnitz, Germany
| | - Katrin Müller
- Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, 09107, Chemnitz, Germany
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6
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Witkowski S, White Q, Shreyer S, Garcia RL, Brown DE, Sievert LL. Acute increases in physical activity and temperature are associated with hot flash experience in midlife women. Menopause 2024:00042192-990000000-00330. [PMID: 38814193 DOI: 10.1097/gme.0000000000002373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2024]
Abstract
OBJECTIVE This study determined the association between acute changes in physical activity, temperature, and humidity and 24-hour subjective and objective hot flash experience. METHODS Data collection occurred during the cooler months of the year in Western Massachusetts (October-April). Women aged 45-55 across three menopause stages (n = 270) were instrumented with ambulatory monitors to continuously measure hot flashes, physical activity, temperature, and humidity for 24 hours. Objective hot flashes were assessed via sternal skin conductance, and subjective hot flashes were recorded by pressing an event marker and data logging. Physical activity was measured with wrist-worn accelerometers and used to define sleep and wake periods. Logistic multilevel modeling was used to examine the differences in physical activity, humidity, and temperature in the 10 minutes preceding a hot flash versus control windows when no hot flashes occurred. The odds of hot flashes were considered separately for objective and subjective hot flashes as well as for wake and sleep periods. RESULTS Data from 188 participants were included in the analyses. There was a significantly greater odds of a hot flash following acute increases in physical activity for objective waking hot flashes (odds ratio [OR], 1.31; 95% confidence interval [CI], 1.17-1.47; P < 0.001) and subjective waking hot flashes (OR, 1.16; 95% CI, 1.0-1.33; P = 0.03). Acute increases in the actigraphy signal were associated with significantly higher odds of having an objective (OR, 1.17; 95% CI, 1.03-1.35; P < 0.01) or subjective (OR, 1.72; 95% CI, 1.52-2.01; P < 0.001) sleeping hot flash. Increases in temperature were significantly related to the odds of subjective sleeping hot flashes only (OR, 1.38; 95% CI, 1.15-1.62; P < 0.001). There was no evidence for a relationship between humidity and odds of experiencing any hot flashes. CONCLUSION These results indicate that acute increases in physical activity increase the odds of hot flashes that are objectively measured and subjectively reported during waking and sleeping periods. Temperature increases were only related to subjectively reported nighttime hot flashes.
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Affiliation(s)
| | - Quinn White
- Statistical & Data Sciences, Smith College, Northampton, MA
| | - Sofiya Shreyer
- Department of Anthropology, University of Massachusetts, Amherst, MA
| | - Randi L Garcia
- Statistical & Data Sciences, Smith College, Northampton, MA
| | - Daniel E Brown
- Department of Anthropology, University of Hawaii at Hilo, Hilo, HI
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7
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Oh SY, Meaklim H, Nicholas CL, Cunnington D, Schenker M, Patrick CJ, Windred D, Phillips LJ. Perfect Enough to Sleep? Perfectionism and Actigraphy-Determined Markers of Insomnia. Behav Sleep Med 2024:1-16. [PMID: 38785108 DOI: 10.1080/15402002.2024.2355476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
OBJECTIVES Perfectionism is an important factor in insomnia development and maintenance. Previous studies exploring the relationship between perfectionism and insomnia have predominantly relied on self-reported sleep measures. Therefore, this study sought to assess whether actigraphy-measured sleep parameters were associated with perfectionism. METHODS Sixty adults (85% females, mean age 30.18 ± 11.01 years) were sampled from the Australian general population. Actigraphy-derived objective sleep measures, subjective sleep diary measures, the Frost Multidimensional Perfectionism Scale (FMPS), Hewitt-Flett Multidimensional Perfectionism Scale (HFMPS) and Depression, Anxiety and Stress Scale 21 (DASS-21) were collected. RESULTS High perfectionism levels were associated with poor sleep, but these relationships differed between objective and subjective measures. Perfectionism via FMPS total score and subscales of Concern over Mistakes, Doubts about Actions, Personal Standards and Self-oriented Perfectionism correlated with subjective sleep onset latency and sleep efficiency with moderate effects (r = .26 to .88). In contrast, perfectionism via HFMPS total score and subscales of Socially Prescribed Perfectionism and Parental Expectations predicted objective sleep onset latency and sleep efficiency. Additionally, stress mediated the relationships between objective sleep efficiency and Concern over Mistakes and Doubts about Actions. CONCLUSIONS Perfectionism demonstrated stronger associations with subjective than objective sleep measures. Higher Parental Expectations and Socially Prescribed Perfectionism may increase one's vulnerability to objectively measured poor sleep. Therefore, perfectionism may be important in preventing and treating insomnia.
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Affiliation(s)
- Susie Y Oh
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
- Turner Institute for Brain and Mental Health, Monash University Healthy Sleep Clinic, Monash University, Clayton, Australia
| | - Hailey Meaklim
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
- Institute for Breathing and Sleep, Austin Health, Victoria, Australia
| | - Christian L Nicholas
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
| | | | - Maya Schenker
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
| | - Cameron J Patrick
- Statistical Consulting Centre, School of Mathematics and Statistics, The University of Melbourne, Parkville, Australia
| | - Daniel Windred
- Turner Institute for Brain and Mental Health, Monash University Healthy Sleep Clinic, Monash University, Clayton, Australia
| | - Lisa J Phillips
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
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Shepherd AI, James TJ, Gould AAM, Mayes H, Neal R, Shute J, Tipton MJ, Massey H, Saynor ZL, Perissiou M, Montgomery H, Sturgess C, Makaronidis J, Murray AJ, Grocott MPW, Cummings M, Young-Min S, Rennell-Smyth J, McNarry MA, Mackintosh KA, Dent H, Robson SC, Corbett J. Impact of nocturnal hypoxia on glycaemic control, appetite, gut microbiota and inflammation in adults with type 2 diabetes mellitus: A single-blind cross-over trial. J Physiol 2024. [PMID: 38769692 DOI: 10.1113/jp285322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/22/2024] [Indexed: 05/22/2024] Open
Abstract
High altitude residents have a lower incidence of type 2 diabetes mellitus (T2DM). Therefore, we examined the effect of repeated overnight normobaric hypoxic exposure on glycaemic control, appetite, gut microbiota and inflammation in adults with T2DM. Thirteen adults with T2DM [glycated haemoglobin (HbA1c): 61.1 ± 14.1 mmol mol-1; aged 64.2 ± 9.4 years; four female] completed a single-blind, randomised, sham-controlled, cross-over study for 10 nights, sleeping when exposed to hypoxia (fractional inspired O2 [F I O 2 ${{F}_{{\mathrm{I}}{{{\mathrm{O}}}_{\mathrm{2}}}}}$ ] = 0.155; ∼2500 m simulated altitude) or normoxic conditions (F I O 2 ${{F}_{{\mathrm{I}}{{{\mathrm{O}}}_{\mathrm{2}}}}}$ = 0.209) in a randomised order. Outcome measures included: fasted plasma [glucose]; [hypoxia inducible factor-1α]; [interleukin-6]; [tumour necrosis factor-α]; [interleukin-10]; [heat shock protein 70]; [butyric acid]; peak plasma [glucose] and insulin sensitivity following a 2 h oral glucose tolerance test; body composition; appetite indices ([leptin], [acyl ghrelin], [peptide YY], [glucagon-like peptide-1]); and gut microbiota diversity and abundance [16S rRNA amplicon sequencing]. During intervention periods, accelerometers measured physical activity, sleep duration and efficiency, whereas continuous glucose monitors were used to assess estimated HbA1c and glucose management indicator and time in target range. Overnight hypoxia was not associated with changes in any outcome measure (P > 0.05 with small effect sizes) except fasting insulin sensitivity and gut microbiota alpha diversity, which exhibited trends (P = 0.10; P = 0.08 respectively) for a medium beneficial effect (d = 0.49; d = 0.59 respectively). Ten nights of overnight moderate hypoxic exposure did not significantly affect glycaemic control, gut microbiome, appetite, or inflammation in adults with T2DM. However, the intervention was well tolerated and a medium effect-size for improved insulin sensitivity and reduced alpha diversity warrants further investigation. KEY POINTS: Living at altitude lowers the incidence of type 2 diabetes mellitus (T2DM). Animal studies suggest that exposure to hypoxia may lead to weight loss and suppressed appetite. In a single-blind, randomised sham-controlled, cross-over trial, we assessed the effects of 10 nights of hypoxia (fractional inspired O2 ∼0.155) on glucose homeostasis, appetite, gut microbiota, inflammatory stress ([interleukin-6]; [tumour necrosis factor-α]; [interleukin-10]) and hypoxic stress ([hypoxia inducible factor 1α]; heat shock protein 70]) in 13 adults with T2DM. Appetite and inflammatory markers were unchanged following hypoxic exposure, but an increased insulin sensitivity and reduced gut microbiota alpha diversity were associated with a medium effect-size and statistical trends, which warrant further investigation using a definitive large randomised controlled trial. Hypoxic exposure may represent a viable therapeutic intervention in people with T2DM and particularly those unable or unwilling to exercise because barriers to uptake and adherence may be lower than for other lifestyle interventions (e.g. diet and exercise).
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Affiliation(s)
- Anthony I Shepherd
- Extreme Environments Laboratory, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
- Clinical Health and Rehabilitation Team, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
- Diabetes and Endocrinology Department, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | - Thomas J James
- Extreme Environments Laboratory, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
- Clinical Health and Rehabilitation Team, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Alex A M Gould
- Extreme Environments Laboratory, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Harry Mayes
- Extreme Environments Laboratory, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Rebecca Neal
- Department of Rehabilitation and Sport Sciences, Bournemouth University, Poole, UK
| | - Janis Shute
- School of Pharmacy and Biomedical Sciences, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Michael J Tipton
- Extreme Environments Laboratory, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Heather Massey
- Extreme Environments Laboratory, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Zoe L Saynor
- Clinical Health and Rehabilitation Team, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Maria Perissiou
- Clinical Health and Rehabilitation Team, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Hugh Montgomery
- Centre for Human Health and Performance, Dept Medicine, University College London, London, UK
| | - Connie Sturgess
- Centre for Human Health and Performance, Dept Medicine, University College London, London, UK
| | - Janine Makaronidis
- Centre for Obesity Research, University College London, London, UK
- National Institute for Health and Care Research, University College London Hospitals Biomedical Research Centre, London, UK
| | - Andrew J Murray
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Michael P W Grocott
- Perioperative and Critical Care Theme, NIHR Southampton Biomedical Research Centre, University Hospital Southampton & University of Southampton, Southampton, UK
| | - Michael Cummings
- Diabetes and Endocrinology Department, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | - Steven Young-Min
- Rheumatology Department, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | - Janet Rennell-Smyth
- Clinical Health and Rehabilitation Team, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
- Patient and public involvement member
| | - Melitta A McNarry
- School of Biological Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Kelly A Mackintosh
- School of Biological Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Hannah Dent
- School of Pharmacy and Biomedical Sciences, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
- Institute of Life Sciences and Healthcare, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Samuel C Robson
- School of Pharmacy and Biomedical Sciences, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, School of Sport and Exercise Sciences, Swansea University, Swansea, UK
- Institute of Life Sciences and Healthcare, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
| | - Jo Corbett
- Extreme Environments Laboratory, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK
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Crowe C, Barton J, O'Flynn B, Tedesco S. Association between wrist-worn free-living accelerometry and hand grip strength in middle-aged and older adults. Aging Clin Exp Res 2024; 36:108. [PMID: 38717552 PMCID: PMC11078825 DOI: 10.1007/s40520-024-02757-z] [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: 01/08/2024] [Accepted: 04/16/2024] [Indexed: 05/12/2024]
Abstract
INTRODUCTION Wrist-worn activity monitors have seen widespread adoption in recent times, particularly in young and sport-oriented cohorts, while their usage among older adults has remained relatively low. The main limitations are in regards to the lack of medical insights that current mainstream activity trackers can provide to older subjects. One of the most important research areas under investigation currently is the possibility of extrapolating clinical information from these wearable devices. METHODS The research question of this study is understanding whether accelerometry data collected for 7-days in free-living environments using a consumer-based wristband device, in conjunction with data-driven machine learning algorithms, is able to predict hand grip strength and possible conditions categorized by hand grip strength in a general population consisting of middle-aged and older adults. RESULTS The results of the regression analysis reveal that the performance of the developed models is notably superior to a simple mean-predicting dummy regressor. While the improvement in absolute terms may appear modest, the mean absolute error (6.32 kg for males and 4.53 kg for females) falls within the range considered sufficiently accurate for grip strength estimation. The classification models, instead, excel in categorizing individuals as frail/pre-frail, or healthy, depending on the T-score levels applied for frailty/pre-frailty definition. While cut-off values for frailty vary, the results suggest that the models can moderately detect characteristics associated with frailty (AUC-ROC: 0.70 for males, and 0.76 for females) and viably detect characteristics associated with frailty/pre-frailty (AUC-ROC: 0.86 for males, and 0.87 for females). CONCLUSIONS The results of this study can enable the adoption of wearable devices as an efficient tool for clinical assessment in older adults with multimorbidities, improving and advancing integrated care, diagnosis and early screening of a number of widespread diseases.
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Affiliation(s)
- Colum Crowe
- Tyndall National Institute, University College Cork, Lee Maltings, Prospect Row, Cork, T12R5CP, Ireland
| | - John Barton
- Tyndall National Institute, University College Cork, Lee Maltings, Prospect Row, Cork, T12R5CP, Ireland
| | - Brendan O'Flynn
- Tyndall National Institute, University College Cork, Lee Maltings, Prospect Row, Cork, T12R5CP, Ireland
| | - Salvatore Tedesco
- Tyndall National Institute, University College Cork, Lee Maltings, Prospect Row, Cork, T12R5CP, Ireland.
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10
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Narayan AJ, Downey LA, Rose S, Di Natale L, Hayley AC. Cannabidiol for moderate-severe insomnia: a randomized controlled pilot trial of 150 mg of nightly dosing. J Clin Sleep Med 2024; 20:753-763. [PMID: 38174873 PMCID: PMC11063694 DOI: 10.5664/jcsm.10998] [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: 08/28/2023] [Revised: 12/26/2023] [Accepted: 12/28/2023] [Indexed: 01/05/2024]
Abstract
STUDY OBJECTIVES Low-dose cannabidiol (CBD) has become readily available in numerous countries; however, little consensus exists on its efficacy as a sleep aid. This trial explored the efficacy of 150 mg of CBD (n = 15) compared with placebo (n = 15) as a sleep aid in primary insomnia. CBD supplementation was hypothesized to decrease insomnia symptoms and improve aspects of psychological health, relative to placebo. METHODS Using a randomized, placebo-controlled, parallel design featuring a single-blind placebo run-in week followed by a 2-week double-blind randomized dosing phase, participants consumed the assigned treatment sublingually 60 minutes before bed nightly. Wrist-actigraphy and sleep diaries measured daily sleep. Sleep quality, sleep effort, and well-being were measured weekly over 4 in-laboratory visits. Insomnia severity and trait anxiety were measured at screening and study conclusion. RESULTS Insomnia severity, self-reported sleep-onset latency, sleep efficiency, and wake after sleep onset did not differ between treatments throughout the trial (all P > .05). Compared with placebo, the CBD group reported greater well-being scores throughout the trial (trial end mean difference = 2.60; standard error: 1.20), transient elevated behavior following wakefulness scores after 1 week of treatment (mean difference = 3.93; standard error: 1.53), and had superior objective sleep efficiency after 2 weeks of treatment (mean difference = 6.85; standard error: 2.95) (all P < .05). No other significant treatment effects were observed. CONCLUSIONS Nightly supplementation of 150 mg CBD was similar to placebo regarding most sleep outcomes while sustaining greater well-being, suggesting more prominent psychological effects. Additional controlled trials examining varying treatment periods and doses are crucial. CLINICAL TRIAL REGISTRATION Registry: Australian New Zealand Clinical Trials Registry; Name: Cannabidiol (CBD) treatment for insomnia; URL: https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12620000070932; Identifier: ACTRN12620000070932. CITATION Narayan AJ, Downey LA, Rose S, Di Natale L, Hayley AC. Cannabidiol for moderate-severe insomnia: a randomized controlled pilot trial of 150 mg of nightly dosing. J Clin Sleep Med. 2024;20(5):753-763.
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Affiliation(s)
- Andrea J. Narayan
- Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Hawthorn, Australia
| | - Luke A. Downey
- Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Hawthorn, Australia
- Institute for Breathing and Sleep, Austin Hospital, Melbourne, Australia
| | - Sarah Rose
- Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Hawthorn, Australia
| | - Lauren Di Natale
- Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Hawthorn, Australia
| | - Amie C. Hayley
- Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Hawthorn, Australia
- Institute for Breathing and Sleep, Austin Hospital, Melbourne, Australia
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11
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Morrow EL, Mattis-Roesch H, Walsh K, Duff MC. Measurement of Sleep in Chronic Traumatic Brain Injury: Relationship Between Self-report and Actigraphy. J Head Trauma Rehabil 2024; 39:E132-E140. [PMID: 37702663 PMCID: PMC10927608 DOI: 10.1097/htr.0000000000000894] [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] [Indexed: 09/14/2023]
Abstract
OBJECTIVE To examine the relationship between self-report and actigraphy measurement of sleep in people with and without traumatic brain injury (TBI) by addressing 2 aims: (1) to assess the relationship between self-report and actigraphy for sleep quantity in people with and without TBI; and (2) to explore how self-report and actigraphy capture sleep quality in TBI. SETTING Participants completed the study over 2 weeks in their own homes. They wore activity monitors, day and night, throughout the experiment and completed morning sleep diaries while interacting with an experimenter on videoconference. PARTICIPANTS This project was embedded in a larger study on sleep and word learning in 100 adults: 50 with chronic, moderate-severe TBI and 50 demographically matched noninjured peers. Of the 100 participants who completed the larger study, 92 participants (45 with TBI and 47 noninjured peers) had sufficient actigraphy data for inclusion in the current study. DESIGN We used multilevel linear regression models and correlation analyses to assess how well participants' self-report corresponded to actigraphy measurement of sleep. MAIN MEASURES Actigraphy measures included nightly sleep duration and nighttime wakeups. Sleep diary measures included self-reported nightly sleep duration, nighttime wakeups, sleep quality, and morning fatigue. RESULTS People with and without TBI did not differ in the relationship between self-reported and actigraphy measurement of sleep quantity. Performance on a neuropsychological memory assessment did not correlate with the difference in self-reported and actigraphy-measured sleep in the TBI group. Sleep characteristics that were measured by actigraphy did not predict subjective experiences of sleep quality or fatigue. CONCLUSIONS Short-term self-report diaries capture accurate information about sleep quantity in individuals with TBI and may support self-report of other daily habits. Future research is needed to identify reliable metrics of sleep quality, and how they relate to other domains such as memory and mood, in the chronic phase of TBI.
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Affiliation(s)
- Emily L Morrow
- Departments of Hearing and Speech Sciences (Drs Morrow and Duff, Mss Mattis-Roesch and Walsh) and Medicine, Division of General Internal Medicine and Public Health (Dr Morrow), Vanderbilt University Medical Center, Nashville, Tennessee; and Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, Tennessee (Dr Morrow)
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12
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Witkowski S, White Q, Shreyer S, Brown DE, Sievert LL. The influence of habitual physical activity and sedentary behavior on objective and subjective hot flashes at midlife. Menopause 2024; 31:381-389. [PMID: 38530999 PMCID: PMC11052676 DOI: 10.1097/gme.0000000000002341] [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] [Indexed: 03/28/2024]
Abstract
OBJECTIVE The purpose of this study was to evaluate relationships between physical activity, sedentary time, and hot flashes during both waking and sleeping periods using concurrent objective and subjective measures of hot flashes in midlife women. METHODS Women aged 45 to 55 years (n = 196) provided self-reported data on physical activity and underwent 24 hours of hot flash monitoring using sternal skin conductance. Participants used event marking and logs to indicate when hot flashes were perceived. Wake and sleep periods were defined by actigraphy. Mean ambient temperature and humidity were recorded during the study period. Generalized linear regression modeling was used to evaluate the effect of physical activity types and sedentary time on hot flash outcomes. Isotemporal substitution modeling was used to study the effect of replacing sedentary time with activity variables on hot flash frequency. RESULTS Modeled results indicated that increasing sitting by 1 hour was associated with a 7% increase in the rate of objectively measured but not subjectively reported hot flashes during sleep. Replacing 1 hour of sitting with 1 hour of vigorous activity was associated with a 100% increase in subjectively reported but not objectively measured waking hot flashes. There was little evidence for an effect of temperature or humidity on any hot flash outcome. CONCLUSIONS These data provide support for relations between sedentary time, physical activity, and hot flashes and highlight the importance of using objective and subjective assessments to better understand the 24-hour hot flash experience.
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Affiliation(s)
- Sarah Witkowski
- From the Department of Exercise and Sport Studies, Smith College, Northampton, MA
| | - Quinn White
- From the Department of Exercise and Sport Studies, Smith College, Northampton, MA
| | - Sofiya Shreyer
- Department of Anthropology, University of Massachusetts, Amherst, MA
| | - Daniel E Brown
- Department of Anthropology, University of Hawaii at Hilo, Hilo, HI
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13
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Kocevska D, Trajanoska K, Mulder RH, Koopman-Verhoeff ME, Luik AI, Tiemeier H, van Someren EJW. Are some children genetically predisposed to poor sleep? A polygenic risk study in the general population. J Child Psychol Psychiatry 2024; 65:710-719. [PMID: 37936537 DOI: 10.1111/jcpp.13899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/22/2023] [Indexed: 11/09/2023]
Abstract
BACKGROUND Twin studies show moderate heritability of sleep traits: 40% for insomnia symptoms and 46% for sleep duration. Genome-wide association studies (GWAS) have identified genetic variants involved in insomnia and sleep duration in adults, but it is unknown whether these variants affect sleep during early development. We assessed whether polygenic risk scores for insomnia (PRS-I) and sleep duration (PRS-SD) affect sleep throughout early childhood to adolescence. METHODS We included 2,458 children of European ancestry (51% girls). Insomnia-related items of the Child Behavior Checklist were reported by mothers at child's age 1.5, 3, and 6 years. At 10-15 years, the Sleep Disturbance Scale for Children and actigraphy were assessed in a subsample (N = 975). Standardized PRS-I and PRS-SD (higher scores indicate genetic susceptibility for insomnia and longer sleep duration, respectively) were computed at multiple p-value thresholds based on largest GWAS to date. RESULTS Children with higher PRS-I had more insomnia-related sleep problems between 1.5 and 15 years (BPRS-I < 0.001 = .09, 95% CI: 0.05; 0.14). PRS-SD was not associated with mother-reported sleep problems. A higher PRS-SD was in turn associated with longer actigraphically estimated sleep duration (BPRS-SD < 5e08 = .05, 95% CI: 0.001; 0.09) and more wake after sleep onset (BPRS-SD < 0.005 = .25, 95% CI: 0.04; 0.47) at 10-15 years, but these associations did not survive multiple testing correction. CONCLUSIONS Children who are genetically predisposed to insomnia have more insomnia-like sleep problems, whereas those who are genetically predisposed to longer sleep have longer sleep duration, but are also more awake during the night in adolescence. This indicates that polygenic risk for sleep traits, based on GWAS in adults, affects sleep already in children.
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Affiliation(s)
- Desana Kocevska
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Generation R Study, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Rosa H Mulder
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Generation R Study, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Elisabeth Koopman-Verhoeff
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Generation R Study, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Annemarie I Luik
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Henning Tiemeier
- The Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Eus J W van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Public Health Research Institute and Amsterdam Neuroscience Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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14
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Wattelez G, Amon KL, Forsyth R, Frayon S, Nedjar-Guerre A, Caillaud C, Galy O. Self-reported and accelerometry measures of sleep components in adolescents living in Pacific Island countries and territories: Exploring the role of sociocultural background. Child Care Health Dev 2024; 50:e13272. [PMID: 38706418 DOI: 10.1111/cch.13272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 04/09/2024] [Accepted: 04/12/2024] [Indexed: 05/07/2024]
Abstract
OBJECTIVES The objective of this study is to assess the concordance and its association with sociocultural background of a four-question survey with accelerometry in a multiethnic adolescent population, regarding sleep components. Based on questions from the Pittsburgh Sleep Quality Index and adapted to a school context, the questionnaire focussed on estimating sleep onset time, wake-up time and sleep duration on both weekdays and weekends. This subjective survey was compared with accelerometry data while also considering the influence of sociocultural factors (sex, place of living, ethnic community and socio-economic status). METHODS Adolescents aged 10.5-16 years (n = 182) in New Caledonia completed the survey and wore an accelerometer for seven consecutive days. Accelerometry was used to determine sleep onset and wake-up time using validated algorithms. Based on response comparison, Bland-Altman plots provided agreement between subjective answers and objective measures. We categorized participants' answers to the survey into underestimated, aligned and overestimated categories based on time discrepancies with accelerometry data. Multinomial regressions highlighted the sociocultural factors associated with discrepancies. RESULTS Concordance between the accelerometer and self-reported assessments was low particularly during weekends (18%, 26% and 19% aligned for onset sleep time, wake-up time and sleep duration respectively) compared with weekdays (36%, 53% and 31% aligned, respectively). This means that the overall concordance was less than 30%. When considering the sociocultural factors, only place of living was associated with discrepancies in onset sleep time and wake-up time primarily on weekdays. Rural adolescents were more likely to overestimate both onset sleep time (B = -1.97, p < 0.001) and wake-up time (B = -1.69, p = 0.003). CONCLUSIONS The study found low concordance between self-assessment and accelerometry outputs for sleep components. This was particularly low for weekend days and for participants living in rural areas. While the adapted four-item questionnaire was useful and easy to complete, caution should be taken when making conclusions about sleep habits based solely on this measurement.
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Affiliation(s)
- Guillaume Wattelez
- Interdisciplinary Laboratory for Research in Education, EA7483, University of New Caledonia, Noumea, New Caledonia
| | - Krestina L Amon
- Biomedical Informatics and Digital Health Theme, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Cyberpsychology Research Group, The University of Sydney, Sydney, New South Wales, Australia
| | - Rowena Forsyth
- Biomedical Informatics and Digital Health Theme, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Cyberpsychology Research Group, The University of Sydney, Sydney, New South Wales, Australia
| | - Stéphane Frayon
- Interdisciplinary Laboratory for Research in Education, EA7483, University of New Caledonia, Noumea, New Caledonia
| | - Akila Nedjar-Guerre
- Interdisciplinary Laboratory for Research in Education, EA7483, University of New Caledonia, Noumea, New Caledonia
| | - Corinne Caillaud
- Biomedical Informatics and Digital Health Theme, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Olivier Galy
- Interdisciplinary Laboratory for Research in Education, EA7483, University of New Caledonia, Noumea, New Caledonia
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15
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Marmol-Perez A, Gil-Cosano JJ, Ubago-Guisado E, Llorente-Cantarero FJ, Pascual-Gázquez JF, Ness KK, Martinez-Vizcaino V, Ruiz JR, Gracia-Marco L. Muscle strength deficits are associated with low bone mineral density in young pediatric cancer survivors: The iBoneFIT project. JOURNAL OF SPORT AND HEALTH SCIENCE 2024; 13:419-427. [PMID: 38219958 PMCID: PMC11117007 DOI: 10.1016/j.jshs.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 11/16/2023] [Accepted: 12/18/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND Pediatric cancer survivors are at increased risk of muscle weakness and low areal bone mineral density (aBMD). However, the prevalence of muscle strength deficits is not well documented, and the associations of muscle strength with aBMD are unknown in this population. Therefore, this study aimed to investigate the prevalence of upper- and lower-body muscle strength deficits and to examine the associations of upper- and lower-body muscle strength with age-, sex, and race-specific aBMD Z-scores at the total body, total hip, femoral neck, and lumbar spine. METHODS This cross-sectional study included 116 pediatric cancer survivors (12.1 ± 3.3 years old, mean ± SD; 42.2% female). Upper- and lower-body muscle strength were assessed by handgrip and standing long jump test, respectively. Dual‑energy X‑ray absorptiometry was used to measure aBMD (g/cm2). Associations between muscle strength and aBMD were evaluated in multivariable linear regression models. Logistic regression was used to evaluate the contribution of muscle strength (1-decile lower) to the odds of having low aBMD (Z-score ≤ 1.0). All analyses were adjusted for time from treatment completion, radiotherapy exposure, and body mass index. RESULTS More than one-half of survivors were within the 2 lowest deciles for upper- (56.9%) and lower- body muscle strength (60.0%) in comparison to age- and sex-specific reference values. Muscle strength deficits were associated with lower aBMD Z-scores at all sites (B = 0.133-0.258, p = 0.001-0.032). Each 1-decile lower in upper-body muscle strength was associated with 30%-95% higher odds of having low aBMD Z-scores at all sites. Each 1-decile lower in lower-body muscle strength was associated with 35%-70% higher odds of having low aBMD Z-scores at total body, total hip, and femoral neck. CONCLUSION Muscle strength deficits are prevalent in young pediatric cancer survivors, and such deficits are associated with lower aBMD Z-scores at all sites. These results suggest that interventions designed to improve muscle strength in this vulnerable population may have the added benefit of improving aBMD.
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Affiliation(s)
- Andres Marmol-Perez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada 18011, Spain; Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Jose J Gil-Cosano
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada 18011, Spain; Department of Communication and Education, Loyola University Andalusia, Seville 41704, Spain
| | - Esther Ubago-Guisado
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada 18011, Spain; Biosanitary Research Institute, ibs.Granada, Granada 18012, Spain
| | - Francisco J Llorente-Cantarero
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba 14004, Spain; CIBEROBN, Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition, Carlos III Health Institute, Madrid 28029, Spain; Department of Specific Didactics, Faculty of Education, University of Cordoba, Cordoba 14071, Spain
| | - Juan Francisco Pascual-Gázquez
- Pediatric and adolescent hematology and oncology service, Pediatrics and Pediatric Surgery Clinical Management Unit, Virgen de las Nieves University Hospital, Granada 18014, Spain
| | - Kirsten K Ness
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | | | - Jonatan R Ruiz
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada 18011, Spain; Biosanitary Research Institute, ibs.Granada, Granada 18012, Spain; CIBEROBN, Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition, Carlos III Health Institute, Madrid 28029, Spain
| | - Luis Gracia-Marco
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada 18011, Spain; Biosanitary Research Institute, ibs.Granada, Granada 18012, Spain; CIBEROBN, Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition, Carlos III Health Institute, Madrid 28029, Spain.
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16
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Thomas DM, Knight R, Gilbert JA, Cornelis MC, Gantz MG, Burdekin K, Cummiskey K, Sumner SCJ, Pathmasiri W, Sazonov E, Gabriel KP, Dooley EE, Green MA, Pfluger A, Kleinberg S. Transforming Big Data into AI-ready data for nutrition and obesity research. Obesity (Silver Spring) 2024; 32:857-870. [PMID: 38426232 DOI: 10.1002/oby.23989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 12/15/2023] [Accepted: 12/26/2023] [Indexed: 03/02/2024]
Abstract
OBJECTIVE Big Data are increasingly used in obesity and nutrition research to gain new insights and derive personalized guidance; however, this data in raw form are often not usable. Substantial preprocessing, which requires machine learning (ML), human judgment, and specialized software, is required to transform Big Data into artificial intelligence (AI)- and ML-ready data. These preprocessing steps are the most complex part of the entire modeling pipeline. Understanding the complexity of these steps by the end user is critical for reducing misunderstanding, faulty interpretation, and erroneous downstream conclusions. METHODS We reviewed three popular obesity/nutrition Big Data sources: microbiome, metabolomics, and accelerometry. The preprocessing pipelines, specialized software, challenges, and how decisions impact final AI- and ML-ready products were detailed. RESULTS Opportunities for advances to improve quality control, speed of preprocessing, and intelligent end user consumption were presented. CONCLUSIONS Big Data have the exciting potential for identifying new modifiable factors that impact obesity research. However, to ensure accurate interpretation of conclusions arising from Big Data, the choices involved in preparing AI- and ML-ready data need to be transparent to investigators and clinicians relying on the conclusions.
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Affiliation(s)
- Diana M Thomas
- Department of Mathematical Sciences, United States Military Academy, West Point, New York, USA
| | - Rob Knight
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California, USA
| | - Jack A Gilbert
- Department of Pediatrics and Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Marilyn C Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Marie G Gantz
- Biostatics and Epidemiology Division, Research Triangle Institute International, Research Triangle Park, North Carolina, USA
| | - Kate Burdekin
- Biostatics and Epidemiology Division, Research Triangle Institute International, Research Triangle Park, North Carolina, USA
| | - Kevin Cummiskey
- Department of Mathematical Sciences, United States Military Academy, West Point, New York, USA
| | - Susan C J Sumner
- Department of Nutrition, Nutrition Research Institute, University of North Carolina Chapel Hill, Kannapolis, North Carolina, USA
| | - Wimal Pathmasiri
- Department of Nutrition, Nutrition Research Institute, University of North Carolina Chapel Hill, Kannapolis, North Carolina, USA
| | - Edward Sazonov
- Electrical and Computer Engineering Department, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Kelley Pettee Gabriel
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Erin E Dooley
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Mark A Green
- Department of Geography & Planning, University of Liverpool, Liverpool, UK
| | - Andrew Pfluger
- Department of Geography and Environmental Engineering, United States Military Academy, West Point, New York, USA
| | - Samantha Kleinberg
- Computer Science Department, Stevens Institute of Technology, Hoboken, New Jersey, USA
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Nilsson E, Delisle Nyström C, Migueles JH, Baurén H, Marin-Jimenez N, Henström M, Torres López LV, Löf M. Sleep patterns are associated with cardiometabolic risk factors in nine-year-old Swedish children. Acta Paediatr 2024. [PMID: 38676458 DOI: 10.1111/apa.17254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 04/05/2024] [Accepted: 04/16/2024] [Indexed: 04/29/2024]
Abstract
AIM Sleep duration and bedtime may play a role in children's cardiometabolic health, but research is lacking. This study examined associations between sleep patterns and cardiometabolic risk factors in Swedish nine-year-olds. METHODS This cross-sectional study used data from three studies, where identical outcome measures were conducted in 411 nine-year-olds, 51% boys, between 2016 and 2020. Sleep was assessed with wrist-worn accelerometers and sleep journals. Children were grouped based on meeting the sleep guidelines of 9-11 h and going to bed early or late based on the median bedtime. Analysis of covariance was used to examine associations between sleep patterns and cardiometabolic risk factors. RESULTS Meeting sleep guidelines and going to bed early were associated with lower metabolic syndrome score (-0.15 vs. 0.42, p = 0.029), insulin resistance (0.30 vs. 0.60, p = 0.025) and insulin levels (6.80 vs. 8.87 mIU/L, p = 0.034), compared with their peers who did not meet the guidelines and went to bed later. When adjusting for total sleep time, analyses still showed associations with the metabolic syndrome score (-0.19 vs. 0.50, p = 0.011). CONCLUSION The findings indicate that good sleep patterns could help mediate positive overall cardiometabolic health in children.
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Affiliation(s)
- Ellinor Nilsson
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | | | - Jairo H Migueles
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
- Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Hanna Baurén
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - Nuria Marin-Jimenez
- Sport and Health University Research Institute, University of Granada, Granada, Spain
- Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Cádiz, Spain
- The Institute for Biomedical Research and Innovation of Cádiz, Cádiz, Spain
| | - Maria Henström
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - Lucía V Torres López
- Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Sport and Health University Research Institute, University of Granada, Granada, Spain
| | - Marie Löf
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
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18
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Abdollahi AM, Li X, Merikanto I, Vepsäläinen H, Lehto R, Rahkola J, Nissinen K, Kanerva N, Roos E, Erkkola M. A tendency toward evening chronotype associates with less healthy diet among preschoolers: cross-sectional findings from the DAGIS study. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2024; 5:zpae026. [PMID: 38737796 PMCID: PMC11085840 DOI: 10.1093/sleepadvances/zpae026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 04/12/2024] [Indexed: 05/14/2024]
Abstract
Study Objectives Evidence suggests that adolescents and adults with a later chronotype have poorer sleep habits and are more susceptible to unhealthy behaviors, but little is known about these associations in younger children. The objective of the study was to (1) identify and compare individual chronotype tendencies among preschool-aged children and (2) investigate associations of sleep dimensions and chronotype with diet. Methods Participants were 636 3-6 years old (mean ± SD age: 4.74 ± 0.89 years, 49% girls) preschoolers from the cross-sectional Increased Health and Well-Being in Preschoolers (DAGIS) study in Finland. Sleep duration, sleep variability (in duration and midpoint), social jetlag, and midsleep on weekends adjusted for sleep debt (MSWEadj) were measured with 7-day actigraphy. Morning, intermediate, and evening chronotype tendencies were defined based on the lowest and highest 10th percentile cutoffs of MSWEadj. Food, energy, and macronutrient intake were assessed from 3-day records. Associations between sleep dimensions and diet were assessed with regression models. Results MSWEadj was 1:13 ± 14 minutes for morning (n = 64), 2:25 ± 28 minutes for intermediate (n = 560), and 3:38 ± 15 minutes for evening (n = 64) chronotype tendency. Children with an evening chronotype tendency had greater social jetlag and sleep variability. Having an evening chronotype tendency was associated with higher added sugar, higher sugary food consumption, and lower vegetable consumption compared to intermediate tendency types. A later chronotype (MSWEadj) was associated with higher sugary food consumption, as well as lower vegetable and fiber intake. Sleep duration, social jetlag, and sleep variability were not associated with diet. Conclusions Several less healthy sleep and diet behaviors were observed among children with later chronotypes. Future public health interventions aimed towards children would benefit from taking into account chronotype.
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Affiliation(s)
- Anna M Abdollahi
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Xinyue Li
- School of Data Science, City University of Hong Kong, Hong Kong SAR, China
| | - Ilona Merikanto
- Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Orton Orthopaedics Hospital, Helsinki, Finland
| | - Henna Vepsäläinen
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Reetta Lehto
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Folkhälsan, Helsinki, Finland
| | - Jenna Rahkola
- Folkhälsan Research Center, Folkhälsan, Helsinki, Finland
| | - Kaija Nissinen
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
- School of Food and Agriculture, Seinäjoki University of Applied Sciences, Seinäjoki, Finland
| | - Noora Kanerva
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Eva Roos
- Folkhälsan Research Center, Folkhälsan, Helsinki, Finland
- Department of Food Studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Maijaliisa Erkkola
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
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19
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Zhang R, Tomasi D, Shokri-Kojori E, Manza P, Demiral SB, Wang GJ, Volkow ND. Seasonality in regional brain glucose metabolism. Psychol Med 2024:1-9. [PMID: 38634486 DOI: 10.1017/s0033291724000436] [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] [Indexed: 04/19/2024]
Abstract
BACKGROUND Daylength and the rates of changes in daylength have been associated with seasonal fluctuations in psychiatric symptoms and in cognition and mood in healthy adults. However, variations in human brain glucose metabolism in concordance with seasonal changes remain under explored. METHODS In this cross-sectional study, we examined seasonal effects on brain glucose metabolism, which we measured using 18F-fluorodeoxyglucose-PET in 97 healthy participants. To maximize the sensitivity of regional effects, we computed relative metabolic measures by normalizing the regional measures to white matter metabolism. Additionally, we explored the role of rest-activity rhythms/sleep-wake activity measured with actigraphy in the seasonal variations of regional brain metabolic activity. RESULTS We found that seasonal variations of cerebral glucose metabolism differed across brain regions. Glucose metabolism in prefrontal regions increased with longer daylength and with greater day-to-day increases in daylength. The cuneus and olfactory bulb had the maximum and minimum metabolic values around the summer and winter solstice respectively (positively associated with daylength), whereas the temporal lobe, brainstem, and postcentral cortex showed maximum and minimum metabolic values around the spring and autumn equinoxes, respectively (positively associated with faster daylength gain). Longer daylength was associated with greater amplitude and robustness of diurnal activity rhythms suggesting circadian involvement. CONCLUSIONS The current findings advance our knowledge of seasonal patterns in a key indicator of brain function relevant for mood and cognition. These data could inform treatment interventions for psychiatric symptoms that peak at specific times of the year.
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Affiliation(s)
- Rui Zhang
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA
| | - Dardo Tomasi
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ehsan Shokri-Kojori
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA
| | - Peter Manza
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sukru Baris Demiral
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA
| | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA
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20
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de Zambotti M, Goldstein C, Cook J, Menghini L, Altini M, Cheng P, Robillard R. State of the science and recommendations for using wearable technology in sleep and circadian research. Sleep 2024; 47:zsad325. [PMID: 38149978 DOI: 10.1093/sleep/zsad325] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/21/2023] [Indexed: 12/28/2023] Open
Abstract
Wearable sleep-tracking technology is of growing use in the sleep and circadian fields, including for applications across other disciplines, inclusive of a variety of disease states. Patients increasingly present sleep data derived from their wearable devices to their providers and the ever-increasing availability of commercial devices and new-generation research/clinical tools has led to the wide adoption of wearables in research, which has become even more relevant given the discontinuation of the Philips Respironics Actiwatch. Standards for evaluating the performance of wearable sleep-tracking devices have been introduced and the available evidence suggests that consumer-grade devices exceed the performance of traditional actigraphy in assessing sleep as defined by polysomnogram. However, clear limitations exist, for example, the misclassification of wakefulness during the sleep period, problems with sleep tracking outside of the main sleep bout or nighttime period, artifacts, and unclear translation of performance to individuals with certain characteristics or comorbidities. This is of particular relevance when person-specific factors (like skin color or obesity) negatively impact sensor performance with the potential downstream impact of augmenting already existing healthcare disparities. However, wearable sleep-tracking technology holds great promise for our field, given features distinct from traditional actigraphy such as measurement of autonomic parameters, estimation of circadian features, and the potential to integrate other self-reported, objective, and passively recorded health indicators. Scientists face numerous decision points and barriers when incorporating traditional actigraphy, consumer-grade multi-sensor devices, or contemporary research/clinical-grade sleep trackers into their research. Considerations include wearable device capabilities and performance, target population and goals of the study, wearable device outputs and availability of raw and aggregate data, and data extraction, processing, and analysis. Given the difficulties in the implementation and utilization of wearable sleep-tracking technology in real-world research and clinical settings, the following State of the Science review requested by the Sleep Research Society aims to address the following questions. What data can wearable sleep-tracking devices provide? How accurate are these data? What should be taken into account when incorporating wearable sleep-tracking devices into research? These outstanding questions and surrounding considerations motivated this work, outlining practical recommendations for using wearable technology in sleep and circadian research.
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Affiliation(s)
- Massimiliano de Zambotti
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
- Lisa Health Inc., Oakland, CA, USA
| | - Cathy Goldstein
- Sleep Disorders Center, Department of Neurology, University of Michigan-Ann Arbor, Ann Arbor, MI, USA
| | - Jesse Cook
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - Luca Menghini
- Department of Psychology and Cognitive Science, University of Trento, Trento, Italy
| | - Marco Altini
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Philip Cheng
- Sleep Disorders and Research Center, Henry Ford Health, Detroit, MI, USA
| | - Rebecca Robillard
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
- Canadian Sleep Research Consortium, Canada
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21
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Cadenas-Sanchez C, Migueles JH, Torres-Lopez LV, Verdejo-Román J, Jiménez-Pavón D, Hillman CH, Catena A, Ortega FB. Sleep Behaviors and the Shape of Subcortical Brain Structures in Children with Overweight/Obesity: A Cross-Sectional Study. Indian J Pediatr 2024:10.1007/s12098-024-05094-1. [PMID: 38573449 DOI: 10.1007/s12098-024-05094-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 03/01/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVES To examine the relationship between sleep and subcortical brain structures using a shape analysis approach. METHODS A total of 98 children with overweight/obesity (10.0 ± 1.1 y, 59 boys) were included in the cross-sectional analyses. Sleep behaviors (i.e., wake time, sleep onset time, total time in bed, total sleep time, sleep efficiency, and wakening after sleep onset) were estimated with wrist-worn accelerometers. The shape of the subcortical brain structures was acquired by magnetic resonance imaging. A partial correlation permutation approach was used to examine the relationship between sleep behaviors and brain shapes. RESULTS Among all the sleep variables studied, only total time in bed was significantly related to pallidum and putamen structure, such that those children who spent more time in bed had greater expansions in the right and left pallidum (211-751 voxels, all p's <0.04) and right putamen (1783 voxels, p = 0.03). CONCLUSIONS These findings suggest that more time in bed was related to expansions on two subcortical brain regions in children with overweight/obesity.
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Affiliation(s)
- Cristina Cadenas-Sanchez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain.
| | - Jairo H Migueles
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Lucia V Torres-Lopez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Juan Verdejo-Román
- Department of Personality, Assessment & Psychological Treatment, Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain
| | - David Jiménez-Pavón
- MOVE-IT Research Group, Department of Physical Education, Faculty of Education Sciences University of Cádiz, Cádiz, Spain
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital University of Cádiz, Cádiz, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES) Madrid, Madrid, Spain
| | - Charles H Hillman
- Department of Psychology, Northeastern University, Boston, USA
- Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, USA
| | - Andrés Catena
- School of Psychology, University of Granada, Granada, Spain
| | - Francisco B Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain.
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
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22
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Maia J, Santos C, Pereira S, Hedeker D, Barreira TV, Garganta R, Farias C, Garbeloto F, Tani G, Cruz H, Chaput JP, Stodden DF, Katzmarzyk PT. A multivariate multilevel approach to unravel the associations between individual and school factors on children's motor performance in the REACT project. Am J Hum Biol 2024:e24080. [PMID: 38562064 DOI: 10.1002/ajhb.24080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/20/2024] [Accepted: 03/24/2024] [Indexed: 04/04/2024] Open
Abstract
OBJECTIVE The aim was to (1) estimate the relationship between physical fitness (PF) and object control fundamental movement skills (FMS), (2) identify child characteristics that relate with PF and FMS, and (3) examine associations between the school environment, PF, and FMS. METHODS The sample included 1014 Portuguese children aged 6-10 years from the REACT project. PF was assessed via running speed, shuttle run, standing long jump, handgrip, and the PACER test. Object control FMS were assessed with stationary dribble, kick, catch, overhand throw, and underhand roll. Test performances were transformed into z-scores, and their sum was expressed as overall PF and FMS. Child-level variables included body mass index (BMI) z-scores, accelerometer-measured sedentary time and moderate-to-vigorous physical activity, and socioeconomic status (SES). School size, physical education classes, practice areas, and equipment were also assessed. RESULTS Approximately, 90% of the variance in object control PF and FMS was at the child level, and 10% at the school level. The correlation between PF and object control FMS was .62, which declined to .43 with the inclusion of covariates. Older, more active, and higher SES children had higher object control PF and FMS, and boys outperformed girls. BMI was negatively associated with PF but not with object control FMS. Sedentary time and number of physical education classes were not significant predictors. Most school predictors did not jointly associate with PF and object control FMS. CONCLUSION PF and object control FMS z-scores were moderately related. Not all child characteristics were associated with both PF and object control FMS, and their effect sizes were different. School characteristics only explained 10% of the total variation in PF and object control FMS.
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Affiliation(s)
- José Maia
- Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal
| | - Carla Santos
- Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal
- Research Center in Sport, Physical Education, and Exercise and Health (CIDEFES), Faculty of Physical Education and Sports, Lusófona University, Lisboa, Portugal
| | - Sara Pereira
- Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal
- Research Center in Sport, Physical Education, and Exercise and Health (CIDEFES), Faculty of Physical Education and Sports, Lusófona University, Lisboa, Portugal
| | - Donald Hedeker
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Tiago V Barreira
- Department of Exercise Science, Syracuse University, Syracuse, New York, USA
| | - Rui Garganta
- Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal
| | - Cláudio Farias
- Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal
| | - Fernando Garbeloto
- Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal
- Motor Behavior Laboratory, School of Physical Education and Sports, University of São Paulo, São Paulo, Brazil
| | - Go Tani
- Motor Behavior Laboratory, School of Physical Education and Sports, University of São Paulo, São Paulo, Brazil
| | - Hugo Cruz
- Matosinhos City-Hall, Division of Innovation, Education and Pedagogy, Matosinhos, Portugal
| | - Jean-Philippe Chaput
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - David F Stodden
- Department of Educational and Developmental Sciences, University of South Carolina, Columbia, South Carolina, USA
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23
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Weaver RG, White JW, Finnegan O, Armstrong B, Beets MW, Adams EL, Burkart S, Dugger R, Parker H, von Klinggraeff L, Bastyr M, Zhu X, Bandeira AS, Reesor-Oyer L, Pfledderer CD, Moreno JP. Understanding Accelerated Summer Body Mass Index Gain by Tracking Changes in Children's Height, Weight, and Body Mass Index Throughout the Year. Child Obes 2024; 20:155-168. [PMID: 37083520 PMCID: PMC10979692 DOI: 10.1089/chi.2023.0029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
Background: Drivers of summer body mass index (BMI) gain in children remain unclear. The Circadian and Circannual Rhythm Model (CCRM) posits summer BMI gain is biologically driven, while the Structured Days Hypothesis (SDH) proposes it is driven by reduced structure. Objectives: Identify the mechanisms driving children's seasonal BMI gain through the CCRM and SDH. Methods: Children's (N = 147, mean age = 8.2 years) height and weight were measured monthly during the school year, and once in summer (July-August). BMI z-score (zBMI) was calculated using CDC growth charts. Behaviors were measured once per season. Mixed methods regression estimated monthly percent change in children's height (%HΔ), weight (%WΔ), and monthly zBMI for school year vs. summer vacation, seasonally, and during school months with no breaks vs. school months with a break ≥1 week. Results: School year vs. summer vacation analyses showed accelerations in children's %WΔ (Δ = 0.9, Standard Error (SE) = 0.1 vs. Δ = 1.4, SE = 0.1) and zBMI (Δ = -0.01, SE = 0.01 vs. Δ = 0.04, SE = 0.3) during summer vacation, but %HΔ remained relatively constant during summer vacation compared with school (Δ = 0.3, SE = 0.0 vs. Δ = 0.4, SE = 0.1). Seasonal analyses showed summer had the greatest %WΔ (Δ = 1.8, SE = 0.4) and zBMI change (Δ = 0.05, SE = 0.03) while %HΔ was relatively constant across seasons. Compared with school months without a break, months with a break showed higher %WΔ (Δ = 0.7, SE = 0.1 vs. Δ = 1.6, SE = 0.2) and zBMI change (Δ = -0.03, SE = 0.01 vs. Δ = 0.04, SE = 0.01), but %HΔ was constant (Δ = 0.4, SE = 0.0 vs. Δ = 0.3, SE = 0.1). Fluctuations in sleep timing and screen time may explain these changes. Conclusions: Evidence for both the CCRM and SDH was identified but the SDH may more fully explain BMI gain. Interventions targeting consistent sleep and reduced screen time during breaks from school may be warranted no matter the season.
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Affiliation(s)
- R. Glenn Weaver
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - James W. White
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Olivia Finnegan
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Bridget Armstrong
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Michael W. Beets
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Elizabeth L. Adams
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Sarah Burkart
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Roddrick Dugger
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Hannah Parker
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Lauren von Klinggraeff
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Meghan Bastyr
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Xuanxuan Zhu
- Arnold School of Public Health, Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina, USA
| | - Alexsandra S. Bandeira
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Layton Reesor-Oyer
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
| | - Christopher D. Pfledderer
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
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24
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Tigerstrand Grevnerts H, Delisle Nyström C, Migueles JH, Löf M. Longitudinal associations of meeting the WHO physical activity guidelines and physical fitness, from preschool to childhood. Scand J Med Sci Sports 2024; 34:e14624. [PMID: 38572847 DOI: 10.1111/sms.14624] [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: 11/07/2023] [Revised: 02/16/2024] [Accepted: 03/25/2024] [Indexed: 04/05/2024]
Abstract
There is a well-established relationship between physical activity (PA) and physical fitness in children, being the latter an important marker for present and future health; however, there is still insufficient knowledge for the transition from the preschool age to early childhood. Therefore, this study in Swedish children aimed to investigate the estimated effect of meeting the aerobic component of the PA guidelines at 4 and/or 9 years of age on physical fitness measured at 9 years of age. PA was assessed using a wrist-worn ActiGraph accelerometer and identical data processing in 217 healthy children in Sweden (114 boys and 103 girls). Physical fitness test included cardiorespiratory (20 m shuttle run test), motor (4 × 10 m shuttle run), and muscular fitness (hand grip strength and long jump). A linear mixed model was run, investigating the interaction between meeting the PA guidelines and time (either 4 or 9 years of age) and each fitness component (at 4 and 9). Interactions by sex were also checked. Meeting the PA guidelines consistently (at 4 and 9 years) was significantly associated to better performance in physical fitness parameters for motor fitness (-0.76 s, p < 0.001) and lower body muscular fitness (+4.6 cm; p < 0.001) at 9 years. There was an interaction between meeting the PA guidelines and time point, for cardiorespiratory fitness (+4.58 laps; p < 0.001). This study shows that meeting the PA guidelines at 4 and 9 years of age is associated to higher physical fitness at 9 years of age.
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Affiliation(s)
| | | | | | - Marie Löf
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
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25
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Loram G, Silk T, Ling M, Sciberras E. Examining the associations between attention-deficit/hyperactivity disorder, sleep problems, and other mental health conditions in adolescents. J Sleep Res 2024; 33:e13830. [PMID: 36907830 DOI: 10.1111/jsr.13830] [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: 08/16/2022] [Revised: 11/27/2022] [Accepted: 01/04/2023] [Indexed: 03/14/2023]
Abstract
Adolescents with attention-deficit/hyperactivity disorder (ADHD) often experience greater sleep difficulties compared to those without. However, findings are mixed, and other mental health conditions are often overlooked. This study aimed to examine the relationship between sleep problems, ADHD, and other mental health conditions in a sample of adolescents. Data from 373 adolescents aged 10-19 years was used as part of the wider 'Healthy Brain Network' study, which targets children and adolescents experiencing mental health and neurodevelopmental difficulties. Mental health conditions were assessed via a comprehensive assessment. Sleep was measured by self- and parent-report, as well as via up to a month of actigraphy data. Actigraphy data were analysed using mixed-methods modelling, while subjective sleep data were analysed using multiple regression. Subjectively-reported sleep was generally worse in adolescents who had ADHD and other mental health conditions compared to those with ADHD but no other conditions. There were no associations between ADHD status and objective sleep measures or self-reported measures, but a significant association was found between ADHD status and parent-reported sleep difficulties, even when accounting for other conditions. Parent-reported sleep problems were associated not only with ADHD, but also with anxiety, depression, and externalising disorders. The strength of association between ADHD and sleep problems is potentially not as strong as previously thought when considering the role of other mental health conditions. Clinicians should consider the role of other mental health conditions when sleep problems are present, and vice versa. The study also highlights the importance of comprehensive, multi-informant assessment of mental health conditions, including sleep.
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Affiliation(s)
- George Loram
- School of Psychology, Deakin University, Burwood, Victoria, Australia
| | - Tim Silk
- School of Psychology, Deakin University, Burwood, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Mathew Ling
- School of Psychology, Deakin University, Burwood, Victoria, Australia
- NEAMI National, Preston, Victoria, Australia
| | - Emma Sciberras
- School of Psychology, Deakin University, Burwood, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
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26
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Cristi-Montero C, Martínez-Flores R, Espinoza-Puelles JP, Favero-Ramirez L, Zurita-Corvalan N, Cañete IC, Leppe J, Ferrari G, Sadarangani KP, Cancino-López J, Hernandez-Jaña S, Farias TY, Lemes VB, Rodríguez-Rodríguez F, Brand C. Study protocol and rationale of "the UP project": evaluating the effectiveness of active breaks on health indicators in desk-based workers. Front Public Health 2024; 12:1363015. [PMID: 38566792 PMCID: PMC10985339 DOI: 10.3389/fpubh.2024.1363015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 03/07/2024] [Indexed: 04/04/2024] Open
Abstract
Background Excessive sedentary time has been negatively associated with several health outcomes, and physical activity alone does not seem to fully counteract these consequences. This panorama emphasizes the essential of sedentary time interruption programs. "The Up Project" seeks to assess the effectiveness of two interventions, one incorporating active breaks led by a professional and the other utilizing a computer application (self-led), of both equivalent duration and intensity. These interventions will be compared with a control group to evaluate their impact on physical activity levels, sedentary time, stress perception, occupational pain, and cardiometabolic risk factors among office workers. Methods This quasi-experimental study includes 60 desk-based workers from universities and educational institutes in Valparaiso, Chile, assigned to three groups: (a) booster breaks led by professionals, (b) computer prompts that are unled, and (c) a control group. The intervention protocol for both experimental groups will last 12 weeks (only weekdays). The following measurements will be performed at baseline and post-intervention: cardiometabolic risk based on body composition (fat mass, fat-free mass, and bone mass evaluated by DXA), waist circumference, blood pressure, resting heart rate, and handgrip strength. Physical activity and sedentary time will be self-reported and device-based assessed using accelerometry. Questionnaires will be used to determine the perception of stress and occupational pain. Discussion Governments worldwide are addressing health issues associated with sedentary behavior, particularly concerning individuals highly exposed to it, such as desk-based workers. Despite implementing certain strategies, there remains a noticeable gap in comprehensive research comparing diverse protocols. For instance, studies that contrast the outcomes of interventions led by professionals with those prompted by computers are scarce. This ongoing project is expected to contribute to evidence-based interventions targeting reduced perceived stress levels and enhancing desk-based employees' mental and physical well-being. The implications of these findings could have the capacity to lay the groundwork for future public health initiatives and government-funded programs.
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Affiliation(s)
- Carlos Cristi-Montero
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Ricardo Martínez-Flores
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | | | - Laura Favero-Ramirez
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Natalia Zurita-Corvalan
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Ignacio Castillo Cañete
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Jaime Leppe
- School of Physical Therapy Faculty of Medicine, Clínica Alemana, Universidad del Desarrollo, Santiago, Chile
| | - Gerson Ferrari
- Universidad de Santiago de Chile (USACH), Escuela de Ciencias de la Actividad Física, el Deporte y la Salud, Santiago, Chile
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Providencia, Santiago, Chile
| | - Kabir P. Sadarangani
- Universidad Autónoma de Chile, Santiago, Chile
- Escuela de Kinesiología, Facultad de Salud Y Odontología, Universidad Diego Portales, Santiago, Chile
| | - Jorge Cancino-López
- Laboratorio de Fisiología del Ejercicio y Metabolismo, Escuela de Kinesiología, Facultad de Medicina, Universidad Finis Terrae. Santiago, Santiago, Chile
| | - Sam Hernandez-Jaña
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | | | - Vanilson Batista Lemes
- Universidade Federal do Rio Grande do Sul, Escola de Educação Física, Fisioterapia e Dança, Porto Alegre, Brazil
| | | | - Caroline Brand
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
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Sansom K, Reynolds A, Windred D, Phillips A, Dhaliwal SS, Walsh J, Maddison K, Singh B, Eastwood P, McArdle N. The interrelationships between sleep regularity, obstructive sleep apnea, and hypertension in a middle-aged community population. Sleep 2024; 47:zsae001. [PMID: 38180870 PMCID: PMC10925954 DOI: 10.1093/sleep/zsae001] [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: 07/23/2023] [Revised: 12/20/2023] [Indexed: 01/07/2024] Open
Abstract
STUDY OBJECTIVES Little is known about the interrelationships between sleep regularity, obstructive sleep apnea (OSA) and important health markers. This study examined whether irregular sleep is associated with OSA and hypertension, and if this modifies the known association between OSA and hypertension. METHODS Six hundred and two adults (age mean(SD) = 56.96(5.51) years, female = 60%) from the Raine Study who were not evening or night shift workers were assessed for OSA (in-laboratory polysomnography; apnea-hypopnea index ≥ 15 events/hour), hypertension (doctor diagnosed, or systolic blood pressure ≥140 mmHg and/or diastolic ≥90 mmHg) and sleep (wrist actigraphy for ≥5 days). A sleep regularity index (SRI) was determined from actigraphy. Participants were categorized by tertiles as severely irregular, mildly irregular, or regular sleepers. Logistic regression models examined the interrelationships between SRI, OSA and hypertension. Covariates included age, sex, body mass index, actigraphy sleep duration, insomnia, depression, activity, alcohol, smoking, and antihypertensive medication. RESULTS Compared to regular sleepers, participants with mildly irregular (OR 1.97, 95% confidence intervals [CI] 1.20 to 3.27) and severely irregular (OR 2.06, 95% CI: 1.25 to 3.42) sleep had greater odds of OSA. Compared to those with no OSA and regular sleep, OSA and severely irregular sleep combined had the highest odds of hypertension (OR 2.34 95% CI: 1.07 to 5.12; p for interaction = 0.02) while those with OSA and regular/mildly irregular sleep were not at increased risk (p for interaction = 0.20). CONCLUSIONS Sleep irregularity may be an important modifiable target for hypertension among those with OSA.
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Affiliation(s)
- Kelly Sansom
- Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia
- Queen Elizabeth II Medical Centre, West Australian Sleep Disorders Research Institute, Nedlands, WA, Australia
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute - Sleep Health, Adelaide, SA, Australia
| | - Amy Reynolds
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute - Sleep Health, Adelaide, SA, Australia
| | - Daniel Windred
- School of Psychological Sciences, Monash University, Turner Institute for Brain and Mental Health, Clayton, VIC, Australia
| | - Andrew Phillips
- School of Psychological Sciences, Monash University, Turner Institute for Brain and Mental Health, Clayton, VIC, Australia
| | - Satvinder S Dhaliwal
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia
- Office of the Provost, Singapore University of Social Sciences, Clementi, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | - Jennifer Walsh
- Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia
- Queen Elizabeth II Medical Centre, West Australian Sleep Disorders Research Institute, Nedlands, WA, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Kathleen Maddison
- Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia
- Queen Elizabeth II Medical Centre, West Australian Sleep Disorders Research Institute, Nedlands, WA, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Bhajan Singh
- Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia
- Queen Elizabeth II Medical Centre, West Australian Sleep Disorders Research Institute, Nedlands, WA, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Peter Eastwood
- Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Nigel McArdle
- Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia
- Queen Elizabeth II Medical Centre, West Australian Sleep Disorders Research Institute, Nedlands, WA, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
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Saint-Maurice PF, Freeman JR, Russ D, Almeida JS, Shams-White MM, Patel S, Wolff-Hughes DL, Watts EL, Loftfield E, Hong HG, Moore SC, Matthews CE. Associations between actigraphy-measured sleep duration, continuity, and timing with mortality in the UK Biobank. Sleep 2024; 47:zsad312. [PMID: 38066693 PMCID: PMC10925955 DOI: 10.1093/sleep/zsad312] [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: 04/20/2023] [Revised: 11/23/2023] [Indexed: 01/12/2024] Open
Abstract
STUDY OBJECTIVES To examine the associations between sleep duration, continuity, timing, and mortality using actigraphy among adults. METHODS Data were from a cohort of 88 282 adults (40-69 years) in UK Biobank that wore a wrist-worn triaxial accelerometer for 7 days. Actigraphy data were processed to generate estimates of sleep duration and other sleep characteristics including wake after sleep onset (WASO), number of 5-minute awakenings, and midpoint for sleep onset/wake-up and the least active 5 hours (L5). Data were linked to mortality outcomes with follow-up to October 31, 2021. We implemented Cox models (hazard ratio, confidence intervals [HR, 95% CI]) to quantify sleep associations with mortality. Models were adjusted for demographics, lifestyle factors, and medical conditions. RESULTS Over an average of 6.8 years 2973 deaths occurred (1700 cancer, 586 CVD deaths). Overall sleep duration was significantly associated with risk for all-cause (p < 0.01), cancer (p < 0.01), and CVD (p = 0.03) mortality. For example, when compared to sleep durations of 7.0 hrs/d, durations of 5 hrs/d were associated with a 29% higher risk for all-cause mortality (HR: 1.29 [1.09, 1.52]). WASO and number of awakenings were not associated with mortality. Individuals with L5 early or late midpoints (<2:30 or ≥ 3:30) had a ~20% higher risk for all-cause mortality, compared to those with intermediate L5 midpoints (3:00-3:29; p ≤ 0.01; e.g. HR ≥ 3:30: 1.19 [1.07, 1.32]). CONCLUSIONS Shorter sleep duration and both early and late sleep timing were associated with a higher mortality risk. These findings reinforce the importance of public health efforts to promote healthy sleep patterns in adults.
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Affiliation(s)
- Pedro F Saint-Maurice
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Breast Unit, Champalimaud Clinical Center, Champalimaud Foundation, Lisbon, Portugal
| | - Joshua R Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Daniel Russ
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jonas S Almeida
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marissa M Shams-White
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shreya Patel
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, USA
| | - Dana L Wolff-Hughes
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Eleanor L Watts
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hyokyoung G Hong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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29
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Freeman JR, Saint-Maurice PF, Watts EL, Moore SC, Shams-White MM, Wolff-Hughes DL, Russ DE, Almeida JS, Caporaso NE, Hong HG, Loftfield E, Matthews CE. Actigraphy-derived measures of sleep and risk of prostate cancer in the UK Biobank. J Natl Cancer Inst 2024; 116:434-444. [PMID: 38013591 PMCID: PMC10919343 DOI: 10.1093/jnci/djad210] [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: 02/24/2023] [Revised: 08/02/2023] [Accepted: 10/08/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Studies of sleep and prostate cancer are almost entirely based on self-report, with limited research using actigraphy. Our goal was to evaluate actigraphy-measured sleep and prostate cancer and to expand on findings from prior studies of self-reported sleep. METHODS We prospectively examined 34 260 men without a history of prostate cancer in the UK Biobank. Sleep characteristics were measured over 7 days using actigraphy. We calculated sleep duration, onset, midpoint, wake-up time, social jetlag (difference in weekend-weekday sleep midpoints), sleep efficiency (percentage of time spent asleep between onset and wake-up time), and wakefulness after sleep onset. Cox proportional hazards models were used to estimate covariate-adjusted hazards ratios (HRs) and 95% confidence intervals (CIs). RESULTS Over 7.6 years, 1152 men were diagnosed with prostate cancer. Sleep duration was not associated with prostate cancer risk. Sleep midpoint earlier than 4:00 am was not associated with prostate cancer risk, though sleep midpoint of 5:00 am or later was suggestively associated with lower prostate cancer risk but had limited precision (earlier than 4:00 am vs 4:00-4:59 am HR = 1.00, 95% CI = 0.87 to 1.16; 5:00 am or later vs 4:00-4:59 am HR = 0.79, 95% CI = 0.57 to 1.10). Social jetlag was not associated with greater prostate cancer risk (1 to <2 hours vs <1 hour HR = 1.06, 95% CI = 0.89 to 1.25; ≥2 hours vs <1 hour HR = 0.90, 95% CI = 0.65 to 1.26). Compared with men who averaged less than 30 minutes of wakefulness after sleep onset per day, men with 60 minutes or more had a higher risk of prostate cancer (HR = 1.20, 95% CI = 1.00 to 1.43). CONCLUSIONS Of the sleep characteristics studied, higher wakefulness after sleep onset-a measure of poor sleep quality-was associated with greater prostate cancer risk. Replication of our findings between wakefulness after sleep onset and prostate cancer are warranted.
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Affiliation(s)
- Joshua R Freeman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Pedro F Saint-Maurice
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Eleanor L Watts
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Steven C Moore
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marissa M Shams-White
- Risk Factor Assessment Branch, Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Dana L Wolff-Hughes
- Risk Factor Assessment Branch, Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Daniel E Russ
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jonas S Almeida
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hyokyoung G Hong
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erikka Loftfield
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles E Matthews
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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30
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Padmapriya N, Fogel A, Tan SYX, Goh CMJL, Tan SL, Chia A, Chu AHY, Chong YS, Tan KH, Chan SY, Yap F, Godfrey KM, Lee YS, Eriksson JG, Tan CS, Bernard JY, Müller-Riemenschneider F. The cross-sectional and prospective associations of parental practices and environmental factors with 24-hour movement behaviours among school-aged Asian children. Int J Behav Nutr Phys Act 2024; 21:27. [PMID: 38438945 PMCID: PMC10913559 DOI: 10.1186/s12966-024-01574-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: 08/03/2023] [Accepted: 02/12/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Parental practices and neighbourhood environmental factors may influence children's movement behaviours. We aimed to investigate the cross-sectional and prospective associations of parental practices and neighbourhood environmental factors with accelerometer-measured 24-hour movement behaviours (24 h-MBs) among school-aged children in Singapore. METHODS The Growing Up in Singapore Towards healthy Outcomes (GUSTO) study collected information on dimensions of parental practices and neighbourhood environment at age 5.5 years. Confirmatory factor analyses were performed to generate latent variables and used to compute overall parental practices [involvement in PA + support for PA + control of screen viewing context] and environmental scores [facilities for active play + active mobility facilitators + barriers*-1]. Children wore an accelerometer on their non-dominant wrist for seven consecutive days at ages 5.5 and 8 years. The R-package GGIR 2.6 was used to derive moderate-to-vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), inactivity, and total-sleep (napping+night sleep) minutes per day. Associations were determined using compositional data analysis with multivariate linear regression models, taking into account potential confounders. RESULTS Among 425 children (48% girls, 59% Chinese), higher parental involvement in PA, parental support for PA and overall parental practices were associated with 24 h-MBs at ages 5.5 and 8 years, specifically with greater time spent in MVPA and less time being inactive relative to the remaining movement behaviours. The corresponding mean changes in the overall 24 h-MB for increasing parental practices from lowest to highest scores (- 2 to + 2 z-scores) indicated potential increases of up to 15-minutes in MVPA, 20-minutes in LPA, 5-minutes in sleep duration, and a reduction of 40-minutes in inactivity at age 5.5 years. At age 8 years, this could translate to approximately 15-minutes more of MVPA, 20-minutes more of LPA, a 20-minute reduction in sleep duration, and a 20-minute reduction in inactivity. Parental control of screen viewing contexts and neighbourhood environmental factors were not associated with 24 h-MBs. CONCLUSIONS Parental practices but not environmental factors were associated with higher MVPA and lower inactivity among Singaporean children, even at a later age. Further research may provide insights that support development of targeted public health strategies to promote healthier movement behaviours among children. STUDY REGISTRATION This study was registered on 4th August 2010 and is available online at ClinicalTrials.gov: NCT01174875.
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Affiliation(s)
- Natarajan Padmapriya
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Anna Fogel
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Sarah Yi Xuan Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | | | - Shuen Lin Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Airu Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Anne Hin Yee Chu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Fabian Yap
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jonathan Y Bernard
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, F-75004, France
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Digital Health Center, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Malheiros LE, da Costa BG, Lopes MV, Martins da Costa R, Chaput JP, Silva KS. Association of sleep timing and sleep variability with health-related outcomes in a sample of Brazilian adolescents. Behav Sleep Med 2024; 22:129-139. [PMID: 37154038 DOI: 10.1080/15402002.2023.2207699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
OBJECTIVES This cross-sectional study aimed to examine the relationships of sleep timing and sleep variability with depressive symptoms, health-related quality of life (HRQoL), daytime sleepiness, and body mass index (BMI) in adolescents. METHODS Adolescents from three schools (n = 571, 56% female, 16.3 ± 1.0 years) had their sleep examined by actigraphy, their anthropometrics assessed, and answered a survey. Sleep timing was examined by combining groups of median-dichotomized onset and wakeup times (early onset and early wakeup; early onset and late wakeup; later onset and early wakeup; later onset and later wakeup); sleep variability was based on within-participant standard deviations of onset and wakeup; and sleep duration as the length of time between onset and wakeup. The sleep variables were separated for weekdays and weekend. Mixed linear models were fitted to compare each sleep variable with health-related outcomes. RESULTS Higher values of daytime sleepiness were observed in adolescents from the late-early and late-late timing group during the week. Greater sleep midpoint and wakeup variability on weekdays were related with higher daytime sleepiness. Adolescents in the late-late and early-late groups showed higher daytime sleepiness. Increased of all sleep variability variables was related with greater daytime sleepiness. Higher depressive symptoms scores were found among adolescents in the late-early subgroup and with the increase of sleep variability. Participants with greater sleep onset variability and sleep midpoint variability reported less HRQoL. CONCLUSIONS Not only sleep duration, but sleep timing and variability also relate to health outcomes, and should be addressed by policies and interventions among adolescents.
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Affiliation(s)
- Luís Ea Malheiros
- Núcleo de Pesquisa em Atividade Física e Saúde, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Bruno Gg da Costa
- Núcleo de Pesquisa em Atividade Física e Saúde, Universidade Federal de Santa Catarina, Florianópolis, Brazil
- School of Physical and Health Education, Nipissing University, North Bay, Canada
| | - Marcus Vv Lopes
- Núcleo de Pesquisa em Atividade Física e Saúde, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Rafael Martins da Costa
- Núcleo de Pesquisa em Atividade Física e Saúde, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Jean-Philippe Chaput
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Kelly S Silva
- Núcleo de Pesquisa em Atividade Física e Saúde, Universidade Federal de Santa Catarina, Florianópolis, Brazil
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32
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Yuan H, Hill EA, Kyle SD, Doherty A. A systematic review of the performance of actigraphy in measuring sleep stages. J Sleep Res 2024:e14143. [PMID: 38384163 DOI: 10.1111/jsr.14143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/29/2023] [Accepted: 12/20/2023] [Indexed: 02/23/2024]
Abstract
The accuracy of actigraphy for sleep staging is assumed to be poor, but examination is limited. This systematic review aimed to assess the performance of actigraphy in sleep stage classification of adults. A systematic search was performed using MEDLINE, Web of Science, Google Scholar, and Embase databases. We identified eight studies that compared sleep architecture estimates between wrist-worn actigraphy and polysomnography. Large heterogeneity was found with respect to how sleep stages were grouped, and the choice of metrics used to evaluate performance. Quantitative synthesis was not possible, so we performed a narrative synthesis of the literature. From the limited number of studies, we found that actigraphy-based sleep staging had some ability to classify different sleep stages compared with polysomnography.
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Affiliation(s)
- Hang Yuan
- Big Data Institute, University of Oxford, Oxford, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Elizabeth A Hill
- Sir Jules Thorn Sleep and Circadian Neuroscience Institute, University of Oxford, Oxford, UK
| | - Simon D Kyle
- Sir Jules Thorn Sleep and Circadian Neuroscience Institute, University of Oxford, Oxford, UK
| | - Aiden Doherty
- Big Data Institute, University of Oxford, Oxford, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
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33
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Wendt A, Bielemann RM, Wehrmeister FC, Ricardo LIC, Müller WDA, Machado AKF, da Cruz MF, Bertoldi AD, Brage S, Ekelund U, Tovo-Rodrigues L, Crochemore-Silva I. Is rest-activity rhythm prospectively associated with all-cause mortality in older people regardless of sleep and physical activity level? The 'Como Vai?' Cohort study. PLoS One 2024; 19:e0298031. [PMID: 38363743 PMCID: PMC10871497 DOI: 10.1371/journal.pone.0298031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/16/2024] [Indexed: 02/18/2024] Open
Abstract
OBJECTIVE This study aims to test the association of rest-activity rhythm (intradaily variability and interdaily stability) with all-cause mortality in an older adult cohort in Brazil. It also assesses whether the amount of time spent at each intensity level (i.e., physical activity and nocturnal sleep) interferes with this association. METHODS This cohort study started in 2014 with older adults (≥60 years). We investigated deaths from all causes that occurred until April 2017. Rest-activity rhythm variables were obtained using accelerometry at baseline. Intradaily variability indicates higher rhythm fragmentation, while interdaily stability indicates higher rhythm stability. Cox proportional-hazard models were used to test the associations controlling for confounders. RESULTS Among the 1451 older adults interviewed in 2014, 965 presented valid accelerometry data. During the follow-up period, 80 individuals died. After adjusting the analysis for sociodemographic, smoking, morbidity score, and number of medicines, an increase of one standard deviation in interdaily stability decreased 26% the risk of death. The adjustment for total sleep time and inactivity did not change this association. On the other hand, the association was no longer significant after adjusting for overall physical activity and moderate to vigorous physical activity. CONCLUSION Rest-activity rhythm pattern was not associated with mortality when physical activity was considered, possibly because this pattern could be driven by regular exercise. Promoting physical activity remains a relevant strategy to improve population health.
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Affiliation(s)
- Andrea Wendt
- Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
| | - Renata Moraes Bielemann
- Post-Graduation Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- School of Nutrition, Federal University of Pelotas, Pelotas, Brazil
| | | | - Luiza I. C. Ricardo
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | | | | | | | - Andréa D. Bertoldi
- Post-Graduation Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Soren Brage
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Chronic diseases, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Inácio Crochemore-Silva
- Post-Graduation Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- Post-Graduation Program in Physical Education, Federal University of Pelotas, Pelotas, Brazil
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Flammer F, Paraschiv-Ionescu A, Marques-Vidal P. It needs more than a myocardial infarction to start exercising: the CoLaus|PsyCoLaus prospective study. BMC Cardiovasc Disord 2024; 24:102. [PMID: 38347464 PMCID: PMC10863136 DOI: 10.1186/s12872-024-03755-9] [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: 07/31/2023] [Accepted: 01/29/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Increased physical activity (PA) is recommended after an acute coronary event to prevent recurrences. Whether patients with acute coronary event actually increase their PA has not been assessed using objective methods such as accelerometer. We aimed to assess the subjectively and objectively measured physical activity (PA) levels of patients before and after an acute coronary event. METHODS Data from the three follow-up surveys of a prospective study conducted in Lausanne, Switzerland. Self-reported PA was assessed by questionnaire in the first (2009-2012) and second (2014-2017) follow-ups. Objective PA was assessed by a wrist-worn accelerometer in the second and third (2018-2021) follow-ups. Participants who developed an acute coronary event between each survey period were considered as eligible. PA levels were compared before and after the event, and changes in PA levels were also compared between participants who developed an acute event with three gender and age-matched healthy controls. RESULTS For self-reported PA, data from 43 patients (12 women, 64 ± 9 years) were used. No differences were found for all PA levels expressed in minutes/day before and after the event: moderate PA, median and [interquartile range] 167 [104-250] vs. 153 [109-240]; light PA: 151 [77-259] vs. 166 [126-222], and sedentary behaviour: 513 [450-635] vs. 535 [465-642] minutes/day. Comparison with gender- and age-matched healthy controls showed no differences regarding trends in reported PA. For accelerometer-assessed PA, data from 32 patients (16 women, 66 ± 9 years) were used. No differences were found for all PA levels expressed in minutes/day before and after the event: moderate PA: 159 [113-189] vs. 141 [111-189]; light PA: 95.8 [79-113] vs. 95.9 [79-117], and sedentary behaviour: 610 [545-659] vs. 602 [540-624]. Regarding the comparison with gender- and age-matched healthy controls, controls had an increase in accelerometer-assessed sedentary behaviour as % of day: multivariable adjusted average standard error 2.7 ± 0.6, while no increase was found for cases: 0.1 ± 1.1; no differences were found for the other PA levels. CONCLUSION Patients do not seem to change their PA levels after a first coronary event. Our results should be confirmed in larger samples.
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Affiliation(s)
- François Flammer
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, 46 rue du Bugnon, Lausanne, 1011, Switzerland
| | - Anisoara Paraschiv-Ionescu
- Laboratory of Movement Analysis and Measurement (LMAM), Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, 46 rue du Bugnon, Lausanne, 1011, Switzerland.
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Hormazábal-Aguayo I, Muñoz-Pardeza J, López-Gil JF, Huerta-Uribe N, Chueca-Guindulain MJ, Berrade-Zubiri S, Burillo Sánchez E, Izquierdo M, Ezzatvar Y, García-Hermoso A. Comprehensive management of children and adolescents with type 1 diabetes mellitus through personalized physical exercise and education using an mHealth system: The Diactive-1 study protocol. Front Endocrinol (Lausanne) 2024; 15:1354734. [PMID: 38379866 PMCID: PMC10877052 DOI: 10.3389/fendo.2024.1354734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 01/18/2024] [Indexed: 02/22/2024] Open
Abstract
Introduction The use of new technologies presents an opportunity to promote physical activity, especially among young people with type 1 diabetes (T1DM), who tend to be less active compared to their healthy counterparts. The aim of this study is to investigate the impact of a personalized resistance exercise program, facilitated by the Diactive-1 App, on insulin requirements among children and adolescents diagnosed with T1DM. Methods and analysis A minimum of 52 children and adolescents aged 8-18 years, who were diagnosed with T1DM at least 6 months ago, will be randomly assigned to either a group engaging in an individualized resistance exercise program at least 3 times per week over a 24-week period or a waiting-list control group. The primary outcome will be the daily insulin dose requirement. The secondary outcomes will include glycemic control, cardiometabolic profile, body composition, vascular function, physical fitness, 24-hour movement behaviors, diet, and psychological parameters. The usability of the app will also be assessed. Ethics and dissemination Ethical approval to conduct this study has been granted by the University Hospital of Navarra Research Board (PI_2020/140). Parents or legal guardians of minors participating in the study will provide written consent, while children and adolescents will sign an assent form to indicate their voluntary agreement. The trial's main findings will be shared through conference presentations, peer-reviewed publications, and communication directly with participating families. This study aims to offer valuable insights into the holistic management of children and adolescents with T1DM by utilizing personalized exercise interventions through an mHealth system. Trial registration NCT06048757.
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Affiliation(s)
- Ignacio Hormazábal-Aguayo
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
| | - Jacinto Muñoz-Pardeza
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
| | | | - Nidia Huerta-Uribe
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
| | | | - Sara Berrade-Zubiri
- Pediatric Endocrinology Unit, Hospital Universitario de Navarra (HUN), IdiSNA, Pamplona, Spain
| | | | - Mikel Izquierdo
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
| | - Yasmin Ezzatvar
- Department of Nursing, Universitat de València, Valencia, Spain
| | - Antonio García-Hermoso
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
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Abdollahi AM, Li X, Merikanto I, Leppänen MH, Vepsäläinen H, Lehto R, Ray C, Erkkola M, Roos E. Comparison of actigraphy-measured and parent-reported sleep in association with weight status among preschool children. J Sleep Res 2024; 33:e13960. [PMID: 37282765 DOI: 10.1111/jsr.13960] [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: 08/08/2022] [Revised: 04/07/2023] [Accepted: 05/18/2023] [Indexed: 06/08/2023]
Abstract
This study compared weekday and weekend actigraphy-measured and parent-reported sleep in relation to weight status among preschool-aged children. Participants were 3-6 years old preschoolers from the cross-sectional DAGIS-study with sleep data for ≥2 weekday and ≥2 weekend nights. Parents-reported sleep onset and wake-up times were gathered alongside 24 h hip-worn actigraphy. An unsupervised Hidden-Markov Model algorithm provided actigraphy-measured night time sleep without the guidance of reported sleep times. Waist-to-height ratio and age-and-sex-specific body mass index characterised weight status. Comparison of methods were assessed with consistency in quintile divisions and Spearman correlations. Associations between sleep and weight status were assessed with adjusted regression models. Participants included 638 children (49% girls) with a mean ± SD age of 4.76 ± 0.89. On weekdays, 98%-99% of actigraphy-measured and parent-reported sleep estimates were classified in the same or adjacent quintile and were strongly correlated (rs = 0.79-0.85, p < 0.001). On weekends, 84%-98% of actigraphy-measured and parent-reported sleep estimates were respectively classified and correlations were moderate to strong (rs = 0.62-0.86, p < 0.001). Compared with actigraphy-measured sleep, parent-reported sleep had consistently earlier onset, later wake-up, and greater duration. Earlier actigraphy-measured weekday sleep onset and midpoint were associated with a higher body mass index (respective β-estimates: -0.63, p < 0.01 and -0.75, p < 0.01) and waist-to-height ratio (-0.004, p = 0.03 and -0.01, p = 0.02). Though the sleep estimation methods were consistent and correlated, actigraphy measures should be favoured as they are more objective and sensitive to identifying associations between sleep timing and weight status compared with parent reports.
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Affiliation(s)
- Anna M Abdollahi
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Xinyue Li
- School of Data Science, City University of Hong Kong, Hong Kong SAR, China
| | - Ilona Merikanto
- Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Orton Orthopaedics Hospital, Helsinki, Finland
| | - Marja H Leppänen
- Folkhälsan Research Center, Helsinki, Finland
- Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Henna Vepsäläinen
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Reetta Lehto
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Carola Ray
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Maijaliisa Erkkola
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Eva Roos
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Food Studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden
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37
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Charman SJ, Blain AP, Okwose NC, Fuller AS, Alyahya AI, Hallsworth K, Eggett C, Luke P, Bailey K, MacGowan GA, Jakovljevic DG. Physical Activity, Inactivity and Sleep in Individuals with Hypertrophic Cardiomyopathy. Int J Sports Med 2024; 45:149-154. [PMID: 37890496 DOI: 10.1055/a-2166-3918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2023]
Abstract
Physical activity presents an important cornerstone in the management and care of individuals with hypertrophic cardiomyopathy (HCM). Twenty-one individuals with HCM (age: 52±15 years old, body mass index (BMI): 30±7 kg/m2) completed 7-day monitoring using wrist-worn triaxial accelerometers (GENEActiv, ActivInsights Ltd, UK) and were compared to age and sex-matched healthy controls (age: 51±14 years old, BMI: 25±4 kg/m2). For individuals with HCM, clinical parameters (left atrial diameter and volume, peak oxygen consumption, NTproBNP and Minnesota Living with Heart Failure (MLHF)) were correlated with accelerometry. After adjusting for BMI, individuals with HCM spent less time in moderate-vigorous physical activity (MVPA) (86 (55-138) vs. 140 (121-149) minutes/day, p<0.05) compared to healthy controls. Individuals with HCM engaged in fewer MVPA-5 min (6 (2-15) vs. 27 (23-37) minutes/day, p<0.01) and MVPA-10 min bouts (9 (0-19) vs. 35 (17-54) minutes/day, p<0.01) versus healthy controls. For HCM only, peak oxygen consumption was correlated with MVPA (r=0.60, p<0.01) and MVPA-5 min bouts (r=0.47, p<0.05). MLHF score was correlated with sleep duration (r=0.45, p<0.05). Individuals with HCM should be encouraged to engage in moderate-intensity physical activity bouts and reduce prolonged periods of inactivity in order to potentially improve exercise tolerance and reduce disease burden.
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Affiliation(s)
- Sarah J Charman
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Cardiology Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom of Great Britain and Northern Ireland
| | - Alasdair P Blain
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
| | - Nduka C Okwose
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Cardiology Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Clinical Sciences and Translational Medicine Research Theme, Research Centre for Health and Life Sciences, Institute of Health and Wellbeing, Faculty of Health and Life Science, Coventry University, Coventry, UK
| | - Amy S Fuller
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Cardiology Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Clinical Sciences and Translational Medicine Research Theme, Research Centre for Health and Life Sciences, Institute of Health and Wellbeing, Faculty of Health and Life Science, Coventry University, Coventry, UK
| | - Alaa I Alyahya
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Cardiology Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom of Great Britain and Northern Ireland
| | - Kate Hallsworth
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Newcastle upon Tyne Hospitals NHS Foundation Trust, NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Liver Unit, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom of Great Britain and Northern Ireland
| | - Christopher Eggett
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Echocardiography, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom of Great Britain and Northern Ireland
| | - Peter Luke
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Echocardiography, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom of Great Britain and Northern Ireland
| | - Kristian Bailey
- Cardiology Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom of Great Britain and Northern Ireland
| | - Guy A MacGowan
- Cardiology Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
| | - Djordje G Jakovljevic
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Cardiology Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom of Great Britain and Northern Ireland
- Clinical Sciences and Translational Medicine Research Theme, Research Centre for Health and Life Sciences, Institute of Health and Wellbeing, Faculty of Health and Life Science, Coventry University, Coventry, UK
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Rovero M, Preisig M, Marques-Vidal P, Strippoli MPF, Vollenweider P, Vaucher J, Berney A, Merikangas KR, Vandeleur CL, Glaus J. Subtypes of major depressive disorders and objectively measured physical activity and sedentary behaviors in the community. Compr Psychiatry 2024; 129:152442. [PMID: 38070447 DOI: 10.1016/j.comppsych.2023.152442] [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: 07/18/2023] [Revised: 11/24/2023] [Accepted: 12/03/2023] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND Lack of physical activity (PA) and high sedentary behavior (SB) may enhance mental health problems, including depression, and are associated with increased mortality. Aside from a large body of research on major depressive disorder (MDD) assessed as an entity and either PA or SB, few studies have examined associations among subtypes of MDD and both PA and SB simultaneously derived from wrist-worn accelerometers. Accordingly, our aim was to explore the associations among MDD subtypes (atypical, melancholic, combined atypical-melancholic and unspecified) and four actigraphy-derived behaviors combining the levels of PA and SB. METHODS The sample stemmed from CoLaus|PsyCoLaus, a population-based cohort study, consisting of 2375 participants (55.1% women; mean age: 62.4 years) who wore an accelorometer for 14 days after a physical exam and subsequently completed a semi-structured psychiatric interview. Activity behaviors were defined according to the combination of the levels of moderate-to-vigorous intensity PA and SB. Associations of remitted MDD subtypes, current MDD and physical inactivity behaviors were assessed using multinomial logistic regression, adjusted for socio-demographic characteristics, a history of anxiety, alcohol and drug use disorders and cardiovascular risk factors. RESULTS In the fully adjusted model, participants with the remitted combined atypical-melancholic subtype had a higher risk of being more physically inactive. CONCLUSIONS Our findings suggest that low PA and high SB are not restricted to the duration of depressive episodes in people with atypical and melancholic episodes. The lack of PA and high SB in this group of depressive patients exposes them to an additional long-term cardiovascular risk and measures to increase PA may be particularly fruitful in this MDD subgroup.
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Affiliation(s)
- Maulde Rovero
- Faculty of Medicine, University of Zurich, Switzerland
| | - Martin Preisig
- Center for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Marie-Pierre F Strippoli
- Center for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Julien Vaucher
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Switzerland; Department of Medicine and Specialties, Internal Medicine, Fribourg Hospital and University of Fribourg, Switzerland
| | - Alexandre Berney
- Department of Psychiatry, Psychiatric Liaison Service, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Kathleen R Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Caroline L Vandeleur
- Center for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland.
| | - Jennifer Glaus
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland
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Carpena MX, Barros AJ, Comelli EM, López-Domínguez L, Alves ED, Wendt A, Crochemore-Silva I, Bandsma RH, Santos IS, Matijasevich A, Borges MC, Tovo-Rodrigues L. Accelerometer-based sleep metrics and gut microbiota during adolescence: Association findings from a Brazilian population-based birth cohort. Sleep Med 2024; 114:203-209. [PMID: 38219656 DOI: 10.1016/j.sleep.2023.12.028] [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: 11/07/2023] [Revised: 12/27/2023] [Accepted: 12/29/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND Sleep and gut microbiota are emerging putative risk factors for several physical, mental, and cognitive conditions. Sleep deprivation has been shown to be linked with unhealthy microbiome environments in animal studies. However, in humans, the results are mixed. Epidemiological studies evaluating the effect of accelerometer-based sleep measures on gut microbiome are scarce. This study aims to explore the relationship between sleep duration and efficiency with the gut microbiota in adolescence. METHODS A subsample of 352 participants from the 2004 Pelotas (Brazil) Birth Cohort Study with sleep and fecal microbiota data available were included in the study. Sleep duration and sleep efficiency were obtained from actigraphy information at 11 years old whereas microbiota information from fecal samples was collected at 12 years. The fecal microbiota was analyzed via Illumina MiSeq (16S rRNA V3-V4 region) and the UNOISE pipeline. Alpha was assessed in QIIME2. Association measures for sleep variables and microbial α-diversity, and bacterial relative abundance were assessed through generalized models (linear and logistic regression), adjusting for maternal and child variables confounders. RESULTS Adjusted models showed that sleep duration was positively associated with Simpson index of α-diversity (β = 0.003; CI95 %: 0.00004; 0.01). Both sleep duration (OR = 0.43; CI95 % 0.25; 0.74) and efficiency (OR = 0.55; CI95 % 0.38; 0.78) were associated with lower Bacteroidetes abundance. CONCLUSION Our results suggest that sleep duration and efficiency are linked to gut microbiota diversity and composition even with 1-2 years gap from exposure to outcome. The findings support the role of sleep in the gut-brain axis as well as provide insights on how to improve microbiota health.
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Affiliation(s)
| | - Aluisio Jd Barros
- Postgraduate Program in Epidemiology, Federal University of Pelotas, RS, Brazil.
| | - Elena M Comelli
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, ON, Canada; Joannah and Brian Lawson Centre for Child Nutrition, Faculty of Medicine, University of Toronto, ON, Canada.
| | - Lorena López-Domínguez
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, ON, Canada; Translational Medicine Program, Hospital for Sick Children, Toronto, ON, Canada
| | - Etiene Dias Alves
- Postgraduate Program in Epidemiology, Federal University of Pelotas, RS, Brazil.
| | - Andrea Wendt
- Programa de Pós-Graduação Em Tecnologia Em Saúde, Pontifícia Universidade Católica Do Paraná, Curitiba, Brazil.
| | - Inacio Crochemore-Silva
- Postgraduate Program in Epidemiology, Federal University of Pelotas, RS, Brazil; Postgraduate Program in Physical Education, Federal University of Pelotas, RS, Brazil.
| | - Robert Hj Bandsma
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, ON, Canada; Translational Medicine Program, Hospital for Sick Children, Toronto, ON, Canada.
| | - Ina S Santos
- Postgraduate Program in Epidemiology, Federal University of Pelotas, RS, Brazil.
| | - Alicia Matijasevich
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil.
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
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Rauwerda NL, Kuut TA, Braamse AMJ, Csorba I, Nieuwkerk P, van Straten A, Knoop H. Insomnia and sleep characteristics in post COVID-19 fatigue: A cross-sectional case-controlled study. J Psychosom Res 2024; 177:111522. [PMID: 38113796 DOI: 10.1016/j.jpsychores.2023.111522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/07/2023] [Accepted: 10/11/2023] [Indexed: 12/21/2023]
Abstract
OBJECTIVE Following COVID-19 many patients report persistent fatigue and insomnia. Given the overlapping features, insomnia can be underdiagnosed in post-COVID-19 fatigue patients. This study aimed to determine insomnia severity, prevalence of clinical insomnia and sleep characteristics of post-COVID-19 fatigue patients. Data of post-COVID-19 fatigue patients were compared with those of patients with chronic fatigue syndrome (ME/CFS), a condition resembling post-COVID-19 fatigue. METHODS In this cross-sectional case-controlled study, insomnia severity, assessed with the Insomnia Severity Index (ISI), and prevalence of clinical insomnia (ISI score ≥ 10), were determined in patients with post-COVID-19 fatigue (n = 114) and compared with ME/CFS (n = 59) using ANCOVA and logistic regression, respectively. Linear regression analyses were used to evaluate whether mood, concentration problems, pain, fatigue (assessed with questionnaires) and diagnosis were associated with insomnia. Sleep characteristics were determined with a sleep diary and accelerometer in post-COVID-19 fatigue and compared with ME/CFS using ANCOVA. RESULTS In patients with post-COVID-19 fatigue mean (SD) insomnia severity was 11.46 (5.7) and 64% reported clinical insomnia. Insomnia severity was significantly associated with depressive symptoms (ß = 0.49, p = 0.006) and age (ß = 0.08, p = 0.04). The mean (SD) subjective sleep duration was 7.4 (1.0) hours with a sleep efficiency of 82 (11)%. Several subjective sleep characteristics of the post-COVID-19 fatigue patients differed from ME/CFS patients; only sleep duration, being significantly shorter in post-COVID-19 fatigue patients (p = 0.003), seemed clinically relevant (d = 0.58). CONCLUSION Insomnia severity and prevalence of clinical insomnia are high in patients with post-COVID-19 fatigue. Insomnia should be assessed and if present treated with insomnia focused therapy.
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Affiliation(s)
- Nynke L Rauwerda
- Department of Medical Psychology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, the Netherlands; Department of Medical Psychology, Hospital Gelderse Vallei, Ede, the Netherlands.
| | - Tanja A Kuut
- Department of Medical Psychology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, the Netherlands
| | - Annemarie M J Braamse
- Department of Medical Psychology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, the Netherlands
| | - Irene Csorba
- Department of Medical Psychology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, the Netherlands
| | - Pythia Nieuwkerk
- Department of Medical Psychology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands
| | - Annemieke van Straten
- Department of Clinical, Neuro and Developmental Psychology & Amsterdam Public Health Research Institute, VU University, Amsterdam, the Netherlands
| | - Hans Knoop
- Department of Medical Psychology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, the Netherlands
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Yiallourou SR, Cribb L, Cavuoto MG, Rowsthorn E, Nicolazzo J, Gibson M, Baril AA, Pase MP. Association of the Sleep Regularity Index With Incident Dementia and Brain Volume. Neurology 2024; 102:e208029. [PMID: 38165323 DOI: 10.1212/wnl.0000000000208029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Irregular sleep may increase the risk of cardiometabolic conditions, but its association with incident dementia is unclear. The aim of this study was to assess the association between sleep regularity, that is, the day-to-day consistency in sleep-wake patterns and the risk of incident dementia and related brain MRI endophenotypes. METHODS We used Cox proportional hazard models to investigate the relationships between sleep regularity and incident dementia in 88,094 UK Biobank participants. The sleep regularity index (SRI) was calculated as the probability of being in the same state (asleep/awake) at any 2 time points 24 hours apart, averaged over 7 days of accelerometry. RESULTS The mean age of the sample was 62 years (SD = 8), 56% were women, and the median SRI was 60 (SD = 10). There were 480 cases of incident dementia over a median 7.2 years of follow-up. Following adjustments for demographic, clinical, and genetic confounders (APOE ε4), there was a nonlinear association between the SRI and dementia hazard (p [global test of spline term] < 0.001) with hazard ratios (HRs) following a U-shape pattern. HRs, relative to the median SRI, were 1.53 (95% CI 1.24-1.89) for participants with SRI at the 5th percentile (SRI = 41) and 1.16 (95% CI 0.89-1.50) for those with SRI at the 95th percentile (SRI = 71). In a subset with brain MRI (n = 15,263), gray matter and hippocampal volume tended to be lowest at the extremes of the SRI. DISCUSSION Sleep regularity displayed a U-shaped association with risk of incident dementia. Irregular sleep may represent a novel dementia risk factor.
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Affiliation(s)
- Stephanie R Yiallourou
- From the Turner Institute for Brain and Mental Health (S.R.Y., L.C., M.G.C., E.R., J.N., M.G., M.P.P.), School of Psychological Science, Monash University; National Ageing Research Institute (M.G.C.), Melbourne, Australia; Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Lachlan Cribb
- From the Turner Institute for Brain and Mental Health (S.R.Y., L.C., M.G.C., E.R., J.N., M.G., M.P.P.), School of Psychological Science, Monash University; National Ageing Research Institute (M.G.C.), Melbourne, Australia; Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Marina G Cavuoto
- From the Turner Institute for Brain and Mental Health (S.R.Y., L.C., M.G.C., E.R., J.N., M.G., M.P.P.), School of Psychological Science, Monash University; National Ageing Research Institute (M.G.C.), Melbourne, Australia; Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Ella Rowsthorn
- From the Turner Institute for Brain and Mental Health (S.R.Y., L.C., M.G.C., E.R., J.N., M.G., M.P.P.), School of Psychological Science, Monash University; National Ageing Research Institute (M.G.C.), Melbourne, Australia; Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Jessica Nicolazzo
- From the Turner Institute for Brain and Mental Health (S.R.Y., L.C., M.G.C., E.R., J.N., M.G., M.P.P.), School of Psychological Science, Monash University; National Ageing Research Institute (M.G.C.), Melbourne, Australia; Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Madeline Gibson
- From the Turner Institute for Brain and Mental Health (S.R.Y., L.C., M.G.C., E.R., J.N., M.G., M.P.P.), School of Psychological Science, Monash University; National Ageing Research Institute (M.G.C.), Melbourne, Australia; Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Andrée-Ann Baril
- From the Turner Institute for Brain and Mental Health (S.R.Y., L.C., M.G.C., E.R., J.N., M.G., M.P.P.), School of Psychological Science, Monash University; National Ageing Research Institute (M.G.C.), Melbourne, Australia; Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Matthew P Pase
- From the Turner Institute for Brain and Mental Health (S.R.Y., L.C., M.G.C., E.R., J.N., M.G., M.P.P.), School of Psychological Science, Monash University; National Ageing Research Institute (M.G.C.), Melbourne, Australia; Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
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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:S2352-7218(23)00250-4. [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] [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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Keadle S, Hasanaj K, Leonard-Corzo K, Tolas A, Crosley-Lyons R, Pfisterer B, Legato M, Fernandez A, Lowell E, Hollingshead K, Yu TY, Phelan S, Phillips SM, Watson N, Hagobian T, Guastaferro K, Buman MP. StandUPTV: Preparation and optimization phases of a mHealth intervention to reduce sedentary screen time in adults. Contemp Clin Trials 2024; 136:107402. [PMID: 38000452 PMCID: PMC10922360 DOI: 10.1016/j.cct.2023.107402] [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: 08/28/2023] [Revised: 10/31/2023] [Accepted: 11/18/2023] [Indexed: 11/26/2023]
Abstract
Recreational sedentary screen time (rSST) is the most prevalent sedentary behavior for adults outside of work, school, and sleep, and is strongly linked to poor health. StandUPTV is a mHealth trial that uses the Multiphase Optimization Strategy (MOST) framework to develop and evaluate the efficacy of three theory-based strategies for reducing rSST among adults. This paper describes the preparation and optimization phases of StandUPTV within the MOST framework. We identified three candidate components based on previous literature: (a) rSST electronic lockout (LOCKOUT), which restricts rSST through electronic means; (b) adaptive prompts (TEXT), which provides adaptive prompts based on rSST behaviors; and (c) earning rSST through increased moderate-vigorous physical activity (MVPA) participation (EARN). We also describe the mHealth iterative design process and the selection of an optimization objective. Finally, we describe the protocol of the optimization randomized controlled trial using a 23 factorial experimental design. We will enroll 240 individuals aged 23-64 y who engage in >3 h/day of rSST. All participants will receive a target to reduce rSST by 50% and be randomized to one of 8 combinations representing all components and component levels: LOCKOUT (yes vs. no), TEXT (yes vs. no), and EARN (yes vs. no). Results will support the selection of the components for the intervention package that meet the optimization objective and are acceptable to participants. The optimized intervention will be tested in a future evaluation randomized trial to examine reductions in rSST on health outcomes among adults.
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Affiliation(s)
- Sarah Keadle
- Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA, United States of America
| | - Kristina Hasanaj
- College of Health Solutions, Arizona State University, Phoenix, AZ, United States of America
| | - Krista Leonard-Corzo
- College of Health Solutions, Arizona State University, Phoenix, AZ, United States of America
| | - Alexander Tolas
- Stanford School of Medicine, Stanford University, Palo Alto, CA, United States of America
| | - Rachel Crosley-Lyons
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Bjorn Pfisterer
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Maria Legato
- Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA, United States of America
| | - Arlene Fernandez
- College of Health Solutions, Arizona State University, Phoenix, AZ, United States of America
| | - Emily Lowell
- College of Health Solutions, Arizona State University, Phoenix, AZ, United States of America
| | - Kevin Hollingshead
- College of Health Solutions, Arizona State University, Phoenix, AZ, United States of America
| | - Tsung-Yen Yu
- College of Health Solutions, Arizona State University, Phoenix, AZ, United States of America
| | - Suzanne Phelan
- Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA, United States of America
| | - Siobhan M Phillips
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America
| | - Nicole Watson
- Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA, United States of America
| | - Todd Hagobian
- Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA, United States of America
| | - Kate Guastaferro
- School of Global Public Health, New York University, New York, NY, United States of America
| | - Matthew P Buman
- College of Health Solutions, Arizona State University, Phoenix, AZ, United States of America.
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Psihogios AM, King-Dowling S, Mitchell JA, McGrady ME, Williamson AA. Ethical considerations in using sensors to remotely assess pediatric health behaviors. AMERICAN PSYCHOLOGIST 2024; 79:39-51. [PMID: 38236214 PMCID: PMC10798216 DOI: 10.1037/amp0001196] [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] [Indexed: 01/19/2024]
Abstract
Sensors, including accelerometer-based and electronic adherence monitoring devices, have transformed health data collection. Sensors allow for unobtrusive, real-time sampling of health behaviors that relate to psychological health, including sleep, physical activity, and medication-taking. These technical strengths have captured scholarly attention, with far less discussion about the level of human touch involved in implementing sensors. Researchers face several subjective decision points when collecting health data via sensors, with these decisions posing ethical concerns for users and the public at large. Using examples from pediatric sleep, physical activity, and medication adherence research, we pose critical ethical questions, practical dilemmas, and guidance for implementing health-based sensors. We focus on youth given that they are often deemed the ideal population for digital health approaches but have unique technology-related vulnerabilities and preferences. Ethical considerations are organized according to Belmont principles of respect for persons (e.g., when sensor-based data are valued above the subjective lived experiences of youth and their families), beneficence (e.g., with sensor data management and sharing), and justice (e.g., with sensor access and acceptability among minoritized pediatric populations). Recommendations include the need to increase transparency about the extent of subjective decision making with sensor data management. Without greater attention to the human factors involved in sensor research, ethical risks could outweigh the scientific promise of sensors, thereby negating their potential role in improving child health and care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Alexandra M. Psihogios
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University
| | - Sara King-Dowling
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States
| | - Jonathan A. Mitchell
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania
| | - Meghan E. McGrady
- Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, United States
- Department of Pediatrics, University of Cincinnati College of Medicine
| | - Ariel A. Williamson
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania
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45
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Ryan JT, Day H, Egger MJ, Wu J, Depner CM, Shaw JM. Night-time sleep duration and postpartum weight retention in primiparous women. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2023; 5:zpad056. [PMID: 38314118 PMCID: PMC10838128 DOI: 10.1093/sleepadvances/zpad056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/27/2023] [Indexed: 02/06/2024]
Abstract
Objectives Approximately 75% of women weigh more at 1-year postpartum than pre-pregnancy. More than 47% retain >10 lbs at 1-year postpartum, which is associated with adverse health outcomes for mother and child. Disturbed sleep may contribute to risk of postpartum weight retention (PWR) as short sleep duration is associated with increased risk of obesity. Thus, we investigated whether night-time sleep duration is associated with risk for excessive PWR. We also explored night-time sleep duration and change in postpartum waist circumference. Methods This is an ancillary analysis from a prospective cohort study. Participants were healthy primiparous adults with a singleton birth. Excessive PWR at 1-year postpartum was defined as ≥7% of pre-pregnancy weight. Log-binomial and linear regression assessed associations between night-time sleep duration at 6 months postpartum and PWR at 1-year postpartum. Linear regression assessed the association between night-time sleep duration and change in postpartum waist circumference. Results Mean age of participants (N = 467) was 29.51 (SD ± 4.78) years. Night-time sleep duration by actigraphy or self-report was not associated with risk for excessive PWR (risk ratio 0.96, [95%CI 0.87-1.06]; risk ratio 0.95 [95%CI 0.83-1.07], respectively) or change in waist circumference. Conclusion Night-time sleep duration at 6 months postpartum was not associated with PWR at 1-year postpartum. Mixed findings among our results and previous research could be due to our focus on night-time sleep, and differences in sleep measurement methods and timeframes across studies. More comprehensively assessing sleep, including multiple sleep dimensions, may help advance our understanding of potential links between sleep and PWR. Trial Registration The parent study, Motherhood and Pelvic Health (MAP Study), is registered at https://clinicaltrials.gov/ct2/show/NCT02512016, NCT02512016.
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Affiliation(s)
- Jeanna T Ryan
- Department of Health and Kinesiology, University of Utah College of Health, Salt Lake City, UT, USA
| | - Heather Day
- Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Marlene J Egger
- Division of Public Health, Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Jiqiang Wu
- Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Christopher M Depner
- Department of Health and Kinesiology, University of Utah College of Health, Salt Lake City, UT, USA
| | - Janet M Shaw
- Department of Health and Kinesiology, University of Utah College of Health, Salt Lake City, UT, USA
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Goodman MO, Dashti HS, Lane JM, Windred DP, Burns A, Jones SE, Sofer T, Purcell SM, Zhu X, Ollila HM, Kyle SD, Spiegelhalder K, Peker Y, Huang T, Cain SW, Phillips AJK, Saxena R, Rutter MK, Redline S, Wang H. Causal Association Between Subtypes of Excessive Daytime Sleepiness and Risk of Cardiovascular Diseases. J Am Heart Assoc 2023; 12:e030568. [PMID: 38084713 PMCID: PMC10863774 DOI: 10.1161/jaha.122.030568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 10/03/2023] [Indexed: 12/20/2023]
Abstract
BACKGROUND Excessive daytime sleepiness (EDS), experienced in 10% to 20% of the population, has been associated with cardiovascular disease and death. However, the condition is heterogeneous and is prevalent in individuals having short and long sleep duration. We sought to clarify the relationship between sleep duration subtypes of EDS with cardiovascular outcomes, accounting for these subtypes. METHODS AND RESULTS We defined 3 sleep duration subtypes of excessive daytime sleepiness: normal (6-9 hours), short (<6 hours), and long (>9 hours), and compared these with a nonsleepy, normal-sleep-duration reference group. We analyzed their associations with incident myocardial infarction (MI) and stroke using medical records of 355 901 UK Biobank participants and performed 2-sample Mendelian randomization for each outcome. Compared with healthy sleep, long-sleep EDS was associated with an 83% increased rate of MI (hazard ratio, 1.83 [95% CI, 1.21-2.77]) during 8.2-year median follow-up, adjusting for multiple health and sociodemographic factors. Mendelian randomization analysis provided supporting evidence of a causal role for a genetic long-sleep EDS subtype in MI (inverse-variance weighted β=1.995, P=0.001). In contrast, we did not find evidence that other subtypes of EDS were associated with incident MI or any associations with stroke (P>0.05). CONCLUSIONS Our study suggests the previous evidence linking EDS with increased cardiovascular disease risk may be primarily driven by the effect of its long-sleep subtype on higher risk of MI. Underlying mechanisms remain to be investigated but may involve sleep irregularity and circadian disruption, suggesting a need for novel interventions in this population.
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Affiliation(s)
- Matthew O. Goodman
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Broad InstituteCambridgeMA
| | - Hassan S. Dashti
- Broad InstituteCambridgeMA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA
- Department of Anesthesia, Critical Care and Pain MedicineMassachusetts General HospitalBostonMA
| | - Jacqueline M. Lane
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Broad InstituteCambridgeMA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA
| | - Daniel P. Windred
- School of Psychological SciencesTurner Institute for Brain and Mental Health, Monash UniversityMelbourneVictoriaAustralia
| | - Angus Burns
- Broad InstituteCambridgeMA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA
- School of Psychological SciencesTurner Institute for Brain and Mental Health, Monash UniversityMelbourneVictoriaAustralia
| | - Samuel E. Jones
- Institute for Molecular Medicine Finland (FIMM)University of HelsinkiFinland
- University of Exeter Medical SchoolExeterUnited Kingdom
| | - Tamar Sofer
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Department of BiostatisticsHarvard T.H. Chan School of Public HealthBostonMA
| | - Shaun M. Purcell
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Broad InstituteCambridgeMA
- Department of PsychiatryBrigham and Women’s HospitalBostonMA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health SciencesCase Western Reserve UniversityClevelandOH
| | - Hanna M. Ollila
- Broad InstituteCambridgeMA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA
- Department of Anesthesia, Critical Care and Pain MedicineMassachusetts General HospitalBostonMA
- Institute for Molecular Medicine Finland (FIMM)University of HelsinkiFinland
| | - Simon D. Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical NeurosciencesUniversity of OxfordUnited Kingdom
| | - Kai Spiegelhalder
- Department of Psychiatry and PsychotherapyMedical Centre–University of Freiburg, Faculty of Medicine, University of FreiburgFreiburgGermany
| | - Yuksel Peker
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Department of Pulmonary MedicineKoç University School of MedicineIstanbulTurkey
- Sahlgrenska AcademyUniversity of GothenburgSweden
- Department of Clinical Sciences, Respiratory Medicine and Allergology, Faculty of MedicineLund UniversityLundSweden
- Division of Pulmonary, Allergy, and Critical Care MedicineUniversity of Pittsburgh School of MedicinePittsburghPA
| | - Tianyi Huang
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Channing Division of Network MedicineBrigham and Women’s Hospital, Harvard Medical SchoolBostonMA
| | - Sean W. Cain
- School of Psychological SciencesTurner Institute for Brain and Mental Health, Monash UniversityMelbourneVictoriaAustralia
| | - Andrew J. K. Phillips
- School of Psychological SciencesTurner Institute for Brain and Mental Health, Monash UniversityMelbourneVictoriaAustralia
| | - Richa Saxena
- Broad InstituteCambridgeMA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA
- Department of Anesthesia, Critical Care and Pain MedicineMassachusetts General HospitalBostonMA
| | - Martin K. Rutter
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and HealthUniversity of ManchesterManchesterUnited Kingdom
- Diabetes, Endocrinology and Metabolism CentreManchester University NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science CentreManchesterUnited Kingdom
| | - Susan Redline
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
| | - Heming Wang
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Broad InstituteCambridgeMA
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Corral-Pérez J, Casals C, Ávila-Cabeza-de-Vaca L, González-Mariscal A, Mier A, Espinar-Toledo M, García-Agua Soler N, Vázquez-Sánchez MÁ. Associations Between Physical Activity and Inactivity Levels on Physical Function and Sleep Parameters of Older Adults With Frailty Phenotype. J Appl Gerontol 2023:7334648231218095. [PMID: 38038169 DOI: 10.1177/07334648231218095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023] Open
Abstract
This study investigated the relationship between physical activity, inactivity, physical function, and sleep in older adults with a frailty phenotype. A total of 184 pre-frail/frail older adults were included. Physical activity, inactive behavior, and sleep parameters were assessed using a wrist-worn accelerometer. Participants were categorized into four groups based on their levels of inactivity and physical activity. The results showed that individuals with lower levels of inactivity had better lower body mean velocity and sleep regularity than those with higher levels of inactivity. Physically active older adults exhibited faster gait speed and performed better in lower body strength tests than physically inactive participants. Further analysis revealed that specific combinations of inactivity and physical activity were associated with varying levels of physical function. The findings highlight the importance of physical activity and the negative impact of inactivity on physical function and sleep in older adults with a frailty phenotype.
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Affiliation(s)
- Juan Corral-Pérez
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Spain
| | - Cristina Casals
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Spain
| | - Laura Ávila-Cabeza-de-Vaca
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Spain
| | - Andrea González-Mariscal
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Spain
| | - Alba Mier
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Spain
| | - Milagrosa Espinar-Toledo
- Rincón de la Victoria Clinical Management Unit, Malaga-Guadalhorce Health District, Malaga, Spain
| | - Nuria García-Agua Soler
- Department of Pharmacology, Institute of Biomedical Research in Malaga (IBIMA), University of Malaga, Spain
| | - María Á Vázquez-Sánchez
- Department of Nursing, Faculty of Health Sciences, PASOS Research Group, UMA REDIAS Network of Law and Artificial Intelligence Applied to Health and Biotechnology, University of Malaga, Spain
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Tan SYX, Padmapriya N, Bernard JY, Toh JY, Wee HL, Tan KH, Yap FKP, Lee YS, Chong YS, Godfrey K, Eriksson JG, Shek LPC, Tan CS, Chong MFF, Müller-Riemenschneider F. Cross-sectional and prospective associations between children's 24-h time use and their health-related quality of life: a compositional isotemporal substitution approach. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 41:100918. [PMID: 37842643 PMCID: PMC10570705 DOI: 10.1016/j.lanwpc.2023.100918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/26/2023] [Accepted: 09/12/2023] [Indexed: 10/17/2023]
Abstract
Background Promoting active, balanced lifestyles among children may be an important approach to optimising their health-related quality of life (HRQoL). However, the relationships between children's movement behaviours and HRQoL remain unclear. Methods We examined the associations between movement behaviours (sleep, inactivity, light and moderate-to-vigorous intensity physical activity) assessed using accelerometers at ages 8 and 10 years and self-reported HRQoL scores (overall, and physical and emotional well-being, self-esteem, relationship with family and friends, and school functioning domains) at age 10 years among 370 children in a local birth cohort using compositional isotemporal substitution techniques. Findings Cross-sectionally, light and moderate-to-vigorous intensity physical activities were associated with better self-esteem (β = 15.94 [2.71, 29.18]) and relationship with friends (β = 10.28 [3.81, 16.74]) scores respectively. Prospectively, inactivity was associated with lower overall HRQoL (β = -10.00 [-19.13, -0.87]), relationship with friends (β = -16.41 [-31.60, -1.23]) and school functioning (β = -15.30 [-29.16, -1.44]) scores, while sleep showed a positive trend with overall HRQoL (β = 10.76 [-1.09, 22.61]) and school functioning (β = 17.12 [-0.87, 35.10]) scores. Children's movement behaviours were not associated with their physical and emotional well-being, or relationship with family scores. The isotemporal substitution analyses suggest that increasing time spent in physical activity and/or sleep at the expense of inactivity may benefit children's HRQoL. Interpretation Our findings suggest that sleep and physical activity may be associated with better HRQoL, with the inverse for inactivity. However, the relationship between children's movement behaviours and HRQoL is complex and warrants further research. Funding Singapore National Research Foundation, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research.
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Affiliation(s)
- Sarah Yi Xuan Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Natarajan Padmapriya
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jonathan Y. Bernard
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
- Université Paris Cité and Université Sorbonne Paris Nord, Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, Inrae, F-75004, Paris, France
| | - Jia Ying Toh
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Hwee-Lin Wee
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Kok Hian Tan
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Fabian Kok Peng Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yap-Seng Chong
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Keith Godfrey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Johan Gunnar Eriksson
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Mary Foong-Fong Chong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Digital Health Centre, Berlin Institute of Health, Charité – Universitätsmedizin Berlin, Berlin, Germany
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Casals C, Ávila-Cabeza-de-Vaca L, González-Mariscal A, Marín-Galindo A, Costilla M, Ponce-Gonzalez JG, Vázquez-Sánchez MÁ, Corral-Pérez J. Effects of an educational intervention on frailty status, physical function, physical activity, sleep patterns, and nutritional status of older adults with frailty or pre-frailty: the FRAGSALUD study. Front Public Health 2023; 11:1267666. [PMID: 38098822 PMCID: PMC10720710 DOI: 10.3389/fpubh.2023.1267666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 11/09/2023] [Indexed: 12/17/2023] Open
Abstract
Introduction The prevalence of frailty is increasing worldwide, emphasizing the importance of prioritizing healthy ageing. To address this, cost-effective and minimally supervised interventions are being sought. This study aimed to assess the impact of an educational program on frailty status, physical function, physical activity, sleep patterns, and nutritional status in community-dwelling older adults with at least 1 Fried's frailty criteria. Methods A 6-month multicentre randomized controlled trial was conducted from March 2022 to February 2023 in 14 health centres located in Cadiz and Malaga, Spain. The educational intervention consisted of 4 group sessions and 6 follow-up phone calls spread over 6 months. The program focused on educating participants about frailty and its impact on health, providing guidelines for physical activity, healthy dietary habits, cognitive training, psychological well-being and social activities. A total of 163 participants, divided into control (n = 80) and educational groups (n = 83) were assessed before and after the intervention. Results The results showed a significant group-time interaction in the physical function evaluated with a large effect on Short Physical Performance Battery score (η2p = 0.179, -0.1 [-1.2-1.0] points for control group vs. 1.0 [0.0-3.0] points for educational group, p < 0.001), and an effect on the 4-meter gait test ((η2p = 0.122, 0.5 [0.1-0.0] s for control group vs. -0.4 [-0.5- -0.3] s for educational group, p < 0.001), and the 5-repetition sit-to-stand test (η2p = 0.136, 1.0 [0.0-1.2] s for control group vs. -4.3 [-7.0- -2.3] for educational group, p < 0.001). Additionally, the use of accelerometers to assess physical activity, inactivity, and sleep patterns revealed a significant small effect in the number of awakenings at night ((η2p = 0.040, 1.1 [-0.5-3.4] awakenings for control group vs. 0.0 [-2.2-0.0] awakenings for educational group, p = 0.009). The findings also highlighted a significant medium effect regarding malnutrition risk, which was assessed using the Mini-Nutritional Assessment score (η2p = 0.088, -0.7 [-2.3-1.5] points for control group vs. 1.5 [-0.5-3.0] points for educational group, p < 0.001). Discussion Thus, the 6-month educational program effectively improved physical function, sleep patterns, and nutritional status compared to usual healthcare attendance in community-dwelling older adults with frailty or pre-frailty. These findings underscore the potential of minimally supervised interventions in promoting a healthy lifestyle in this vulnerable population.
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Affiliation(s)
- Cristina Casals
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Cádiz, Spain
| | - Laura Ávila-Cabeza-de-Vaca
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Cádiz, Spain
| | - Andrea González-Mariscal
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Cádiz, Spain
| | - Alberto Marín-Galindo
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Cádiz, Spain
| | - Manuel Costilla
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Cádiz, Spain
| | - Jesus G. Ponce-Gonzalez
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Cádiz, Spain
| | - María Ángeles Vázquez-Sánchez
- Department of Nursing, PASOS Research Group, Faculty of Health Sciences, UMA REDIAS Network of Law and Artificial Intelligence Applied to Health and Biotechnology, University of Malaga, Málaga, Spain
| | - Juan Corral-Pérez
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, Cádiz, Spain
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Burkart S, Beets MW, Pfledderer CD, von Klinggraeff L, Zhu X, St Laurent CW, van Hees VT, Armstrong B, Weaver RG, Adams EL. Are parent-reported sleep logs essential? A comparison of three approaches to guide open source accelerometry-based nocturnal sleep processing in children. J Sleep Res 2023:e14112. [PMID: 38009378 PMCID: PMC11128474 DOI: 10.1111/jsr.14112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 10/30/2023] [Accepted: 11/10/2023] [Indexed: 11/28/2023]
Abstract
We examined the comparability of children's nocturnal sleep estimates using accelerometry data, processed with and without a sleep log. In a secondary analysis, we evaluated factors associated with disagreement between processing approaches. Children (n = 722, age 5-12 years) wore a wrist-based accelerometer for 14 days during Autumn 2020, Spring 2021, and/or Summer 2021. Outcomes included sleep period, duration, wake after sleep onset (WASO), and timing (onset, midpoint, waketime). Parents completed surveys including children's nightly bed/wake time. Data were processed with parent-reported bed/wake time (sleep log), the Heuristic algorithm looking at Distribution of Change in Z-Angle (HDCZA) algorithm (no log), and an 8 p.m.-8 a.m. window (generic log) using the R-package 'GGIR' (version 2.6-4). Mean/absolute bias and limits of agreement were calculated and visualised with Bland-Altman plots. Associations between child, home, and survey characteristics and disagreement were examined with tobit regression. Just over half of nights demonstrated no difference in sleep period between sleep log and no log approaches. Among all nights, the sleep log approach produced longer sleep periods (9.3 min; absolute mean bias [AMB] = 28.0 min), shorter duration (1.4 min; AMB = 14.0 min), greater WASO (11.0 min; AMB = 15.4 min), and earlier onset (13.4 min; AMB = 17.4 min), midpoint (8.8 min; AMB = 15.3 min), and waketime (3.9 min; AMB = 14.8 min) than no log. Factors associated with discrepancies included smartphone ownership, bedroom screens, nontraditional parent work schedule, and completion on weekend/summer nights (range = 0.4-10.2 min). The generic log resulted in greater AMB among sleep outcomes. Small mean differences were observed between nights with and without a sleep log. Discrepancies existed on weekends, in summer, and for children with smartphones and screens in the bedroom.
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Affiliation(s)
- Sarah Burkart
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - Michael W Beets
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - Christopher D Pfledderer
- University of Texas Health Science Center (UTHealth) at Houston, School of Public Health in Austin, Austin, Texas, USA
- Michael and Susan Dell Center for Healthy Living, UTHealth School of Public Health in Austin, Austin, Texas, USA
| | - Lauren von Klinggraeff
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - Xuanxuan Zhu
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - Christine W St Laurent
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | | | - Bridget Armstrong
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - R Glenn Weaver
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - Elizabeth L Adams
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
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