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Ji Y, Atakan MM, Yan X, Wu J, Kuang J, Peng L. Reallocating just 10 min to moderate-to-vigorous physical activity from other components of 24-hour movement behaviors improves cardiovascular health in adults. BMC Public Health 2024; 24:1768. [PMID: 38961409 PMCID: PMC11221122 DOI: 10.1186/s12889-024-19255-6] [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: 01/15/2024] [Accepted: 06/24/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND As components of a 24-hour day, sedentary behavior (SB), physical activity (PA), and sleep are all independently linked to cardiovascular health (CVH). However, insufficient understanding of components' mutual exclusion limits the exploration of the associations between all movement behaviors and health outcomes. The aim of this study was to employ compositional data analysis (CoDA) approach to investigate the associations between 24-hour movement behaviors and overall CVH. METHODS Data from 581 participants, including 230 women, were collected from the 2005-2006 wave of the US National Health and Nutrition Examination Survey (NHANES). This dataset included information on the duration of SB and PA, derived from ActiGraph accelerometers, as well as self-reported sleep duration. The assessment of CVH was conducted in accordance with the criteria outlined in Life's Simple 7, encompassing the evaluation of both health behaviors and health factors. Compositional linear regression was utilized to examine the cross-sectional associations of 24-hour movement behaviors and each component with CVH score. Furthermore, the study predicted the potential differences in CVH score that would occur by reallocating 10 to 60 min among different movement behaviors. RESULTS A significant association was observed between 24-hour movement behaviors and overall CVH (p < 0.001) after adjusting for potential confounders. Substituting moderate-to-vigorous physical activity (MVPA) for other components was strongly associated with favorable differences in CVH score (p < 0.05), whether in one-for-one reallocations or one-for-remaining reallocations. Allocating time away from MVPA consistently resulted in larger negative differences in CVH score (p < 0.05). For instance, replacing 10 min of light physical activity (LPA) with MVPA was related to an increase of 0.21 in CVH score (95% confidence interval (95% CI) 0.11 to 0.31). Conversely, when the same duration of MVPA was replaced with LPA, CVH score decreased by 0.67 (95% CI -0.99 to -0.35). No such significance was discovered for all duration reallocations involving only LPA, SB, and sleep (p > 0.05). CONCLUSIONS MVPA seems to be as a pivotal determinant for enhancing CVH among general adult population, relative to other movement behaviors. Consequently, optimization of MVPA duration is an essential element in promoting overall health and well-being.
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Affiliation(s)
- Yemeng Ji
- Physical Education College, Southwest University, Chongqing, 400715, China
| | - Muhammed M Atakan
- Division of Nutrition and Metabolism in Exercise, Faculty of Sport Sciences, Hacettepe University, Ankara, 06800, Turkey
| | - Xu Yan
- Institute for Health and Sport, Victoria University, Melbourne, 14428, Australia
| | - Jinlong Wu
- Physical Education College, Southwest University, Chongqing, 400715, China
| | - Jujiao Kuang
- Institute for Health and Sport, Victoria University, Melbourne, 14428, Australia
| | - Li Peng
- Physical Education College, Southwest University, Chongqing, 400715, China.
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Brailey G, Metcalf B, Price L, Cumming S, Rowlands A, Olds T, Simm P, Wake M, Stiles V. Improving the identification of bone-specific physical activity using wrist-worn accelerometry: A cross-sectional study in 11-12-year-old Australian children. Eur J Sport Sci 2024; 24:987-998. [PMID: 38956788 PMCID: PMC11235707 DOI: 10.1002/ejsc.12122] [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: 11/24/2023] [Revised: 04/03/2024] [Accepted: 04/24/2024] [Indexed: 07/04/2024]
Abstract
Physical activity (PA) during childhood and adolescence is important for the accrual of maximal peak bone mass. The precise dose that benefits bone remains unclear as methods commonly used to analyze PA data are unsuitable for measuring bone-relevant PA. Using improved accelerometry methods, this study identified the amount and intensity of PA most strongly associated with bone outcomes in 11-12-year-olds. Participants (n = 770; 382 boys) underwent tibial peripheral quantitative computed tomography to assess trabecular and cortical density, endosteal and periosteal circumference and polar stress-strain index. Seven-day wrist-worn raw acceleration data averaged over 1-s epochs was used to estimate time accumulated above incremental PA intensities (50 milli-gravitational unit (mg) increments from 200 to 3000 mg). Associations between time spent above each 50 mg increment and bone outcomes were assessed using multiple linear regression, adjusted for age, sex, height, weight, maturity, socioeconomic position, muscle cross-sectional area and PA below the intensity of interest. There was a gradual increase in mean R2 change across all bone-related outcomes as the intensity increased in 50 mg increments from >200 to >700 mg. All outcomes became significant at >700 mg (R2 change = 0.6%-1.3% and p = 0.001-0.02). Any further increases in intensity led to a reduction in mean R2 change and associations became non-significant for all outcomes >1500 mg. Using more appropriate accelerometry methods (1-s epochs; no a priori application of traditional cut-points) enabled us to identify that ∼10 min/day of PA >700 mg (equivalent to running ∼10 km/h) was positively associated with pQCT-derived measures of bone density, geometry and strength in 11-12-year-olds.
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Affiliation(s)
- Gemma Brailey
- Department of Public Health and Sport SciencesFaculty of Health and Life SciencesUniversity of ExeterExeterUK
| | - Brad Metcalf
- Department of Public Health and Sport SciencesFaculty of Health and Life SciencesUniversity of ExeterExeterUK
| | - Lisa Price
- Department of Public Health and Sport SciencesFaculty of Health and Life SciencesUniversity of ExeterExeterUK
| | | | - Alex Rowlands
- Diabetes Research CentreLeicester General HospitalUniversity of LeicesterLeicesterUK
- National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC)University Hospitals of Leicester NHS Trust and the University of LeicesterLeicesterUK
| | - Timothy Olds
- Alliance for Research in Exercise, Nutrition, and ActivityUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- Murdoch Children's Research InstituteRoyal Children's HospitalParkvilleVictoriaAustralia
| | - Peter Simm
- Murdoch Children's Research InstituteRoyal Children's HospitalParkvilleVictoriaAustralia
- Department of Endocrinology and DiabetesRoyal Children's HospitalParkvilleVictoriaAustralia
- Department of PaediatricsUniversity of MelbourneParkvilleVictoriaAustralia
| | - Melissa Wake
- Murdoch Children's Research InstituteRoyal Children's HospitalParkvilleVictoriaAustralia
- Department of PaediatricsUniversity of MelbourneParkvilleVictoriaAustralia
| | - Victoria Stiles
- Department of Public Health and Sport SciencesFaculty of Health and Life SciencesUniversity of ExeterExeterUK
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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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Lund Rasmussen C, Gába A, Stanford T, Dygrýn J, Dumuid D, Janda D, Hron K. The Goldilocks Day for healthy adiposity measures among children and adolescents. Front Public Health 2023; 11:1158634. [PMID: 37841713 PMCID: PMC10569221 DOI: 10.3389/fpubh.2023.1158634] [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: 02/04/2023] [Accepted: 09/12/2023] [Indexed: 10/17/2023] Open
Abstract
Background The optimal balance of time spent on daily movement behaviors ("The Goldilocks Day") associated with childhood obesity remains unknown. Objective To estimate the optimal durations of sleep, sedentary behavior (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MPVA) associated with excess adiposity in a paediatric population. Methods Accelerometer-measured 24-h movement behaviors were obtained from 659 Czech children and adolescents (8-18-year-olds). Adiposity indicators were body mass index z-score, fat mass percentage, fat-free mass index, and visceral adipose tissue. Excess adiposity was defined as exceeding the 85th percentile for an adiposity indicator. Compositional regression analyses were used investigate the associations between movement behaviors and adiposity indicators and estimating "The Goldilocks Day." Results The movement behavior composition was associated with visceral adipose tissue (Fdf1 = 3,df2 = 317 = 3.672, p = 0.013) and fat mass percentage (Fdf1 = 3,df2 = 289 = 2.733, p = 0.044) among children and adolescents. The Goldilocks Day consisted of 8.5 h of sleep, 10.8 h of SB, 3.9 h of LPA, and 0.8 h of MVPA among children and 7.5 h of sleep, 12.4 h of SB, 3.6 h of LPA, and 0.5 h of MVPA among adolescents. Conclusion Optimizing the time spent sleeping, and in sedentary and physical activities appears to be important in the prevention of excess adiposity.
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Affiliation(s)
- Charlotte Lund Rasmussen
- Faculty of Physical Culture, Palacký University Olomouc, Olomouc, Czechia
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- School of Allied Health, Curtin University, Perth, WA, Australia
| | - Aleš Gába
- Faculty of Physical Culture, Palacký University Olomouc, Olomouc, Czechia
| | - Tyman Stanford
- Alliance for Research in Exercise, Nutrition, and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - Jan Dygrýn
- Faculty of Physical Culture, Palacký University Olomouc, Olomouc, Czechia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition, and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - David Janda
- Faculty of Physical Culture, Palacký University Olomouc, Olomouc, Czechia
| | - Karel Hron
- Department of Mathematical Analysis and Applications of Mathematics, Palacký University Olomouc, Olomouc, Czechia
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Fairclough SJ, Clifford L, Brown D, Tyler R. Characteristics of 24-hour movement behaviours and their associations with mental health in children and adolescents. JOURNAL OF ACTIVITY, SEDENTARY AND SLEEP BEHAVIORS 2023; 2:11. [PMID: 38013786 PMCID: PMC10234795 DOI: 10.1186/s44167-023-00021-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 04/09/2023] [Indexed: 11/29/2023]
Abstract
Background Time-use estimates are typically used to describe 24-hour movement behaviours. However, these behaviours can additionally be characterised by other easily measured metrics. These include sleep quality (e.g., sleep efficiency), 24-hour rest-activity rhythmicity (e.g., between-day rhythm variability), and directly measured acceleration metrics (e.g., intensity gradient). Associations between these characteristics and youth mental health are unclear. This study aimed to [1] compare 24-hour movement behaviour characteristics by sex and age groups, [2] determine which movement behaviour characteristics were most strongly associated with mental health outcomes, and [3] investigate the optimal time-use behaviour compositions for different mental health outcomes. Methods Three-hundred-and-one children and adolescents (age 9-13 y; 60% girls) wore accelerometers for 24-hours/day over 7-days. Overall mental health, externalising, and internalising problems were self-reported using the Strengths and Difficulties Questionnaire. 24-hour movement behaviour characteristics were categorised as time-use estimates, sleep quality, 24-hour activity rhythmicity, and directly measured acceleration. Linear mixed models and compositional data analysis were used to analyse the data in alignment with the study aims. Results Time-use estimates, directly measured accelerations, and 24-hour rest-activity rhythm metrics indicated that children were significantly more physically active (p = .01-<0.001) than adolescents. Children were also less sedentary (p < .01), slept longer (p = .02-0.01), and had lower sleep efficiency. Boys were significantly more active than girls (p < .001) who in turn accrued more time in sleep (p = .02). The timing of peak activity was significantly later among adolescents (p = .047). Overall mental health and externalising problems were significantly associated with sleep, sedentary time, sleep efficiency, amplitude, and inter-daily stability (p = .04-0.01). The optimal time-use compositions were specific to overall mental health and externalising problems and were characterised by more sleep, light and vigorous physical activity, and less sedentary time and moderate physical activity than the sample's mean time-use composition. Conclusions Extracting and examining multiple movement behaviour characteristics from 24-hour accelerometer data can provide a more rounded picture of the interplay between different elements of movement behaviours and their relationships with mental health than single characteristics alone, such as time-use estimates. Applying multiple movement behaviour characteristics to the translation of research findings may enhance the impact of the data for research users. Supplementary Information The online version contains supplementary material available at 10.1186/s44167-023-00021-9.
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Affiliation(s)
- Stuart J. Fairclough
- Movement Behaviours, Health, Wellbeing, and Nutrition Research Group, Department of Sport and Physical Activity, Edge Hill University, St Helens Road, Ormskirk, Lancashire, L39 4QP UK
| | - Lauren Clifford
- Movement Behaviours, Health, Wellbeing, and Nutrition Research Group, Department of Sport and Physical Activity, Edge Hill University, St Helens Road, Ormskirk, Lancashire, L39 4QP UK
| | - Denver Brown
- Department of Psychology, The University of Texas at San Antonio, San Antonio, TX 78249 USA
| | - Richard Tyler
- Movement Behaviours, Health, Wellbeing, and Nutrition Research Group, Department of Sport and Physical Activity, Edge Hill University, St Helens Road, Ormskirk, Lancashire, L39 4QP UK
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St. Laurent CW, Rasmussen CL, Holmes JF, Cremone-Caira A, Kurdziel LBF, Desrochers PC, Spencer RMC. Associations of activity, sedentary, and sleep behaviors with cognitive and social-emotional health in early childhood. JOURNAL OF ACTIVITY, SEDENTARY AND SLEEP BEHAVIORS 2023; 2:7. [PMID: 38798902 PMCID: PMC11116218 DOI: 10.1186/s44167-023-00016-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 01/27/2023] [Indexed: 05/29/2024]
Abstract
Background Early childhood is important for cognitive and social-emotional development, and a time in which to promote healthy movement behaviors (sedentary behavior, physical activity, and sleep). Movement behaviors may have interactive influences on cognition and social-emotional factors in young children, but most previous research has explored them independently. The purpose of this study was to determine if movement behaviors are associated with measures of cognitive and social-emotional health in young children and if so, to describe optimal compositions of movement behaviors of a daily cycle for such outcomes. Methods Children (n = 388, 33 to 70 months, 44.6% female) from a clinical trial (ClinicalTrials.gov ID: NCT03285880, first posted September 18, 2017) wore accelerometers on their wrists for 24-h for 9.56 ± 3.3 days. Movement behavior compositions consisted of time spent in sedentary behaviors, light intensity physical activity, moderate to vigorous intensity physical activity (MVPA), and sleep. Outcomes were cognitive (receptive vocabulary, declarative and procedural memory, and executive attention) and social-emotional measures (temperament and behavioral problems). Compositional linear regression models with isometric log ratios were used to investigate the relations between the movement behavior composition and the cognitive and social-emotional health measures. If a significant association was found between the composition and an outcome, we further explored the "optimal" 24-h time-use for said outcome. Results Movement behavior compositions were associated with receptive vocabulary. The composition associated with the predicted top five percent of vocabulary scores consisted of 12.1 h of sleep, 4.7 h of sedentary time, 5.6 h of light physical activity, and 1.7 h of MVPA. Conclusions While behavior compositions are related to vocabulary ability in early childhood, our findings align with the inconclusiveness of the current evidence regarding other developmental outcomes. Future research exploring activities within these four movement behaviors, that are meaningful to cognitive and social-emotional development, may be warranted. Supplementary Information The online version contains supplementary material available at 10.1186/s44167-023-00016-6.
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Affiliation(s)
- Christine W. St. Laurent
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, 135 Hicks Way, Tobin Hall, Amherst, MA 01003 USA
| | - Charlotte Lund Rasmussen
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
- Faculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic
| | - Jennifer F. Holmes
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, 135 Hicks Way, Tobin Hall, Amherst, MA 01003 USA
| | | | | | - Phillip C. Desrochers
- Sensing, Perception, and Applied Robotics Division, Charles River Analytics, Cambridge, MA USA
| | - Rebecca M. C. Spencer
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, 135 Hicks Way, Tobin Hall, Amherst, MA 01003 USA
- Institute for Applied Life Sciences, University of Massachusetts Amherst, Amherst, MA USA
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Hedayatrad L, Stewart T, Paine SJ, Marks E, Walker C, Duncan S. Sociodemographic differences in 24-hour time-use behaviours in New Zealand children. Int J Behav Nutr Phys Act 2022; 19:131. [PMID: 36195954 PMCID: PMC9531491 DOI: 10.1186/s12966-022-01358-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/25/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The time that children spend in physical activity, sedentary behaviour, and sleep each day (i.e., 24-h time-use behaviours), is related to physical and mental health outcomes. Currently, there is no comprehensive evidence on New Zealand school-aged children's 24-h time-use behaviours, adherence to the New Zealand 24-h Movement Guidelines, and how these vary among different sociodemographic groups. METHODS This study utilises data from the 8-year wave of the Growing Up in New Zealand longitudinal study. Using two Axivity AX3 accelerometers, children's 24-h time-use behaviours were described from two perspectives: activity intensity and activity type. Compositional data analysis techniques were used to explore the differences in 24-h time-use compositions across various sociodemographic groups. RESULTS Children spent on average, 31.1%, 22.3%, 6.8%, and 39.8% of their time in sedentary, light physical activity, moderate-to-vigorous physical activity, and sleep, respectively. However, the daily distribution of time in different activity types was 33.2% sitting, 10.8% standing, 7.3% walking, 0.4% running, and 48.2% lying. Both the activity intensity and activity type compositions varied across groups of child ethnicity, gender, and household income or deprivation. The proportion of children meeting each of the guidelines was 90% for physical activity, 62.5% for sleep, 16% for screen time, and 10.6% for the combined guidelines. Both gender and residence location (i.e., urban vs. rural) were associated with meeting the physical activity guideline, whereas child ethnicity, mother's education and residence location were associated with meeting the screen time guideline. Child ethnicity and mother's education were also significantly associated with the adherence to the combined 24-h Movement Guidelines. CONCLUSIONS This study provided comprehensive evidence on how New Zealand children engage in 24-h time-use behaviours, adherence to the New Zealand 24-h Movement Guidelines, and how these behaviours differ across key sociodemographic groups. These findings should be considered in designing future interventions for promoting healthy time-use patterns in New Zealand children.
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Affiliation(s)
- Leila Hedayatrad
- School of Sport and Recreation, Department of Behavioural Nutrition and Physical Activity, Auckland University of Technology, Auckland, New Zealand.
| | - Tom Stewart
- School of Sport and Recreation, Department of Behavioural Nutrition and Physical Activity, Auckland University of Technology, Auckland, New Zealand
| | - Sarah-Jane Paine
- Te Kupenga Hauora Māori, University of Auckland, Auckland, New Zealand
| | - Emma Marks
- Growing Up in New Zealand, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Caroline Walker
- Growing Up in New Zealand, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Scott Duncan
- School of Sport and Recreation, Department of Behavioural Nutrition and Physical Activity, Auckland University of Technology, Auckland, New Zealand
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Abstract
PURPOSE OF REVIEW Review recent literature investigating the relationship between bone health and sleep/circadian disruptions (e.g., abnormal sleep duration, night shift work). RECENT FINDINGS Short and long sleep are associated with low bone mineral density (BMD). Recent data from observational studies identified an increased risk of fracture in women with short sleep. Studies suggest that age, sex, weight change, and concurrent circadian misalignment may modify the effects of sleep restriction on bone metabolism. Interventional studies demonstrate alterations in bone metabolism and structure in response to circadian disruption that could underlie the increased fracture risk seen with night shift work. The effects of sleep and circadian disruption during adolescence may have lifelong skeletal consequences if they adversely impact bone modeling. Data suggest that short sleep and night shift work negatively impact bone metabolism and health. Rigorous studies of prevalent sleep and circadian disruptions are needed to determine mechanisms and develop prevention strategies to optimize lifelong skeletal health.
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Affiliation(s)
- Christine Swanson
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, 12801 E. 17th Ave., Mail Stop 8106, Aurora, CO, 80045, USA.
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How are combinations of physical activity, sedentary behaviour and sleep related to cognitive function in older adults? A systematic review. Exp Gerontol 2022; 159:111698. [PMID: 35026335 DOI: 10.1016/j.exger.2022.111698] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 12/12/2021] [Accepted: 01/05/2022] [Indexed: 01/17/2023]
Abstract
The relationships between cognitive function and each of physical activity, sleep and sedentary behaviour in older adults are well documented. However, these three "time use" behaviours are co-dependent parts of the 24-hour day (spending time in one leaves less time for the others), and their best balance for cognitive function in older adults is still largely unknown. This systematic review summarises the existing evidence on the associations between combinations of two or more time-use behaviours and cognitive function in older adults. Embase, Pubmed, PsycInfo, Medline and Emcare databases were searched in March 2020 and updated in May 2021, returning a total of 25,289 papers for screening. A total of 23 studies were included in the synthesis, spanning >23,000 participants (mean age 71 years). Findings support previous evidence that spending more time in physical activity and limiting sedentary behaviour is broadly associated with better cognitive outcomes in older adults. Higher proportions of moderate-vigorous physical activity in the day were most frequently associated with better cognitive function. Some evidence suggests that certain types of sedentary behaviour may be positively associated with cognitive function, such as reading or computer use. Sleep duration appears to share an inverted U-shaped relationship with cognition, as too much or too little sleep is negatively associated with cognitive function. This review highlights considerable heterogeneity in methodological and statistical approaches, and encourages a more standardised, transparent approach to capturing important daily behaviours in older adults. Investigating all three time-use behaviours together against cognitive function using suitable statistical methodology is strongly recommended to further our understanding of optimal 24-hour time-use for brain function in aging.
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Abstract
PURPOSE OF REVIEW This review briefly summarizes the growing body of literature addressing the skeletal consequences of sleep and circadian disruption. RECENT FINDINGS The most recent data in the field suggest that the diurnal variation in bone turnover markers are because of endogenous circadian rhythmicity linked to clock genes in all bone cells; in a small human intervention study, cumulative sleep restriction with concurrent circadian disruption negatively alter bone turnover markers in a way that could explain the lower BMD and increased fracture risk identified in some prior night shift work studies; abnormal sleep duration and obstructive sleep apnea are associated with low BMD and increased fracture risk in some but not all studies. SUMMARY Normal physiology and some animal and human intervention studies suggest that sleep and circadian disruptions, such as night shift work, abnormal sleep durations and obstructive sleep apnea are detrimental to skeletal health. However, additional research in this area is needed to determine which sleep/circadian disturbances are most detrimental to skeletal health, the reversibility of such impairments, and underlying mechanisms.
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Affiliation(s)
- Christine M Swanson
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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Dumuid D, Wake M, Burgner D, Tremblay MS, Okely AD, Edwards B, Dwyer T, Olds T. Balancing time use for children's fitness and adiposity: Evidence to inform 24-hour guidelines for sleep, sedentary time and physical activity. PLoS One 2021; 16:e0245501. [PMID: 33465128 PMCID: PMC7815105 DOI: 10.1371/journal.pone.0245501] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 01/04/2021] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Daily time spent on one activity cannot change without compensatory changes in others, which themselves may impact on health outcomes. Optimal daily activity combinations may differ across outcomes. We estimated optimal daily activity durations for the highest fitness and lowest adiposity. METHODS Cross-sectional Child Health CheckPoint data (1182 11-12-year-olds; 51% boys) from the population-based Longitudinal Study of Australian Children were used. Daily activity composition (sleep, sedentary time, light physical activity [LPA], moderate-to-vigorous physical activity [MVPA]) was from 8-day, 24-hour accelerometry. We created composite outcomes for fitness (VO2max; standing long jump) and adiposity (waist-to-height ratio; body mass index; fat-to-fat-free log-ratio). Adjusted compositional models regressed activity log-ratios against each outcome. Best activity compositions (optimal time-use zones) were plotted in quaternary tetrahedrons; the overall optimal time-use composition was the center of the overlapping area. RESULTS Time-use composition was associated with fitness and adiposity (all measures p<0.001). Optimal time use differed for fitness and adiposity. While both maximized MVPA and minimized sedentary time, optimal fitness days had higher LPA (3.4 h) and shorter sleep (8.25 h), but optimal adiposity days had lower LPA (1.0 h) and longer sleep (10.9 h). Balancing both outcomes, the overall optimal time-use composition was (mean [range]): 10.2 [9.5; 10.5] h sleep, 9.9 [8.8; 11.2] h sedentary time, 2.4 [1.8; 3.2] h LPA and 1.5 [1.5; 1.5] h MVPA. CONCLUSION Optimal time use for children's fitness and adiposity involves trade-offs. To best balance both outcomes, estimated activity durations for sleep and LPA align with, but for MVPA exceed, 24-h guidelines.
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Affiliation(s)
- Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Melissa Wake
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - David Burgner
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Mark S. Tremblay
- Children’s Hospital of Eastern Ontario Research Institute and Department of Pediatrics, University of Ottawa, Ottawa, Ontario, Canada
| | - Anthony D. Okely
- Early Start, Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia
- Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia
| | - Ben Edwards
- Centre for Social Research and Methods, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Terence Dwyer
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Oxford Martin School, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Women’s & Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Timothy Olds
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, Australia
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