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Li D, Chua T, Chen M, Li X, Chia M. Effects of replacing sedentary time with alterations in physical activity or sleep on mood states in Chinese young adults during the pandemic. BMC Public Health 2024; 24:2184. [PMID: 39135153 PMCID: PMC11320779 DOI: 10.1186/s12889-024-19714-0] [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: 12/03/2023] [Accepted: 08/07/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Poor mood states pose the most frequent mental health, creating a considerable burden to global public health. Sedentary behavior is an essential factor affecting mood states, however, previous measures to reduce sedentary time in Chinese young adults have focused only on increasing physical activity (PA). Sedentary, PA, and sleep make up a person's day from the standpoint of time use. It is not known whether reallocating sedentary time to different types of PA (e.g. daily PA and structured PA) or sleep during an epidemic has an effect on mood states. Therefore, this study aimed to examine the association between replacing sedentary time with different types of PA or sleep during the pandemic and the mood states of Chinese young adults and to further examine whether this association varies across sleep populations and units of replacement time. METHOD 3,579 young adults aged 18 to 25 years living in China and self-isolating at home during the COVID-19 outbreak were invited to complete an online questionnaire between February from 23 to 29, 2020. Subjects' PA, sedentary time, and mood states were assessed using the International Physical Activity Questionnaire and the Chinese version of the Profile of Mood States, respectively. Participants also reported sleep duration and some sociodemographic characteristics. Participants were divided into short sleepers (< 7 h/d), normal sleepers (7-9 h/d), and long sleepers (> 9 h/d) based upon their reported sleep duration. Relevant data were analyzed using Pearson correlation analysis and isotemporal substitution model (ISM). RESULTS Sedentary time was negatively associated with mood states in Chinese young adults during the pandemic (r = 0.140) and correlated strongest among short sleepers (r = 0.203). Substitution of sedentary time with structured PA was associated with good mood states (β=-0.28, 95% CI: -0.49, -0.08). Additionally, substituting sedentary time with daily PA (e.g. occupational PA, household PA) was also associated with good mood states among normal sleepers (β=-0.24, 95% CI: -0.46, -0.02). The substitution of sedentary time with sleep could bring mood benefits (β=-0.35, 95% CI: -0.47, -0.23). This benefit was particularly prominent among short sleepers. Furthermore, for long sleepers, replacing sedentary time with sleep time also resulted in significant mood benefits (β=-0.41, 95% CI: -0.69, -0.12). The longer the duration of replacing sedentary behavior with different types of PA or sleep, the greater the mood benefits. CONCLUSIONS A reallocation of as little as 10 min/day of sedentary time to different types of PA or sleep is beneficial for the mood states of young adults. The longer the reallocation, the greater the benefit. Our results demonstrate a feasible and practical behavior alternative for improving mood states of Chinese young adults.
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Affiliation(s)
- Dan Li
- School of Physical Education, Hunan Normal University, 529 Lushan South Road, Changsha, 410012, China
| | - Terence Chua
- National Institute of Education, Nanyang Technological University, Singapore, 637616, Singapore
| | - Meiyuan Chen
- College of Physical Education & Health, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, China
| | - Xianxiong Li
- School of Physical Education, Hunan Normal University, 529 Lushan South Road, Changsha, 410012, China.
| | - Michael Chia
- National Institute of Education, Nanyang Technological University, Singapore, 637616, Singapore.
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Zhao T, Liu R, Han Q, Han X, Ren J, Mao M, Lu J, Cong L, Wang Y, Tang S, Du Y, Qiu C. Associations of 24-hour movement behaviors with depressive symptoms in rural-dwelling older adults: a compositional data analysis. Aging Clin Exp Res 2024; 36:165. [PMID: 39120630 PMCID: PMC11315720 DOI: 10.1007/s40520-024-02827-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 08/01/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND We aimed to explore the association of sleep duration with depressive symptoms among rural-dwelling older adults in China, and to estimate the impact of substituting sleep with sedentary behavior (SB) and physical activity (PA) on the association with depressive symptoms. METHODS This population-based cross-sectional study included 2001 rural-dwelling older adults (age ≥ 60 years, 59.2% female). Sleep duration was assessed using the Pittsburgh Sleep Quality Index. We used accelerometers to assess SB and PA, and the 15-item Geriatric Depression Scale to assess depressive symptoms. Data were analyzed using restricted cubic splines, compositional logistic regression, and isotemporal substitution models. RESULTS Restricted cubic spline curves showed a U-shaped association between daily sleep duration and the likelihood of depressive symptoms (P-nonlinear < 0.001). Among older adults with sleep duration < 7 h/day, reallocating 60 min/day spent on SB and PA to sleep were associated with multivariable-adjusted odds ratio (OR) of 0.81 (95% confidence interval [CI] = 0.78-0.84) and 0.79 (0.76-0.82), respectively, for depressive symptoms. Among older adults with sleep duration ≥ 7 h/day, reallocating 60 min/day spent in sleep to SB and PA, and reallocating 60 min/day spent on SB to PA were associated with multivariable-adjusted OR of 0.78 (0.74-0.84), 0.73 (0.69-0.78), and 0.94 (0.92-0.96), respectively, for depressive symptoms. CONCLUSIONS Our study reveals a U-shaped association of sleep duration with depressive symptoms in rural older adults and further shows that replacing SB and PA with sleep or vice versa is associated with reduced likelihoods of depressive symptoms depending on sleep duration.
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Affiliation(s)
- Tong Zhao
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
| | - Rui Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
| | - Qi Han
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, P.R. China
| | - Xiaolei Han
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, P.R. China
| | - Juan Ren
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
| | - Ming Mao
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
| | - Jie Lu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, P.R. China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, P.R. China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China.
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, P.R. China.
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China.
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, P.R. China.
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Aging Research Center, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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Šuc A, Einfalt L, Šarabon N, Kastelic K. Validity and reliability of self-reported methods for assessment of 24-h movement behaviours: a systematic review. Int J Behav Nutr Phys Act 2024; 21:83. [PMID: 39095778 PMCID: PMC11295502 DOI: 10.1186/s12966-024-01632-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 07/23/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Time spent in sleep, sedentary behaviour (SB), and physical activity are exhaustive and mutually exclusive parts of a 24-h day that need to be considered in a combination. The aim of this study was to identify validated self-reported tools for assessment of movement behaviours across the whole 24-h day, and to review their attributes and measurement properties. METHODS The databases PubMed, Scopus, and SPORTDiscus were searched until September 2023. Inclusion criteria were: (i) published in English language, (ii) per-reviewed paper, (iii) assessment of self-reported time spent in sleep, SB, and physical activity, (iv) evaluation of measurement properties of all estimates across the full 24-h day, and (v) inclusion of adolescents, adults, or older adults. The methodological quality of included studies was assessed using the Consensus-based Standards for the selection of health Measurement Instruments checklist. RESULTS Our search returned 2064 records. After studies selection, we included 16 articles that reported construct validity and/or test-retest reliability of 12 unique self-reported tools - eight questionnaires, three time-use recalls, and one time-use diary. Most tools enable assessment of time spent in sleep, and domain-specific SB and physical activity, and account that sum of behaviours should be 24 h. Validity (and reliability) correlation coefficients for sleep ranged between 0.22 and 0.69 (0.41 and 0.92), for SB between 0.06 and 0.57 (0.33 and 0.91), for light-intensity physical activity between 0.18 and 0.46 (0.55 and 0.94), and for moderate- to vigorous-intensity physical activity between 0.38 and 0.56 (0.59 and 0.94). The quality of included studies being mostly fair-to-good. CONCLUSIONS This review found that only a limited number of validated self-reported tools for assessment of 24-h movement behaviours are currently available. Validity and reliability of most tools are generally adequate to be used in epidemiological studies and population surveillance, while little is known about adequacy for individual level assessments and responsiveness to behavioural change. To further support research, policy, and practice, there is a need to develop new tools that resonate with the emerging 24-h movement paradigm and to evaluate measurement properties by using compositional data analysis. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42022330868.
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Affiliation(s)
- Anja Šuc
- Faculty of Health Sciences, University of Primorska, Izola, Slovenia
| | - Lea Einfalt
- Faculty of Health Sciences, University of Primorska, Izola, Slovenia
| | - Nejc Šarabon
- Faculty of Health Sciences, University of Primorska, Izola, Slovenia
- InnoRenew CoE, Izola, Slovenia
| | - Kaja Kastelic
- InnoRenew CoE, Izola, Slovenia.
- Andrej Marušič Institute, University of Primorska, Koper, Slovenia.
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Smit DJM, Burgers LJGC, van Oostrom SH, Vähä-Ypyä H, Husu P, Verswijveren SJJM, Proper KI. Exploring Associations Between Device-Based Occupational Sedentary Behavior and Need for Recovery in White Collar Workers: A Compositional Data-Analysis. Int J Public Health 2024; 69:1607322. [PMID: 39135914 PMCID: PMC11317241 DOI: 10.3389/ijph.2024.1607322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 07/15/2024] [Indexed: 08/15/2024] Open
Abstract
Objectives White collar workers spend an increasing amount of time in occupational sedentary behavior (OSB) and are thereby at risk for adverse health outcomes. Nevertheless, the association between OSB and the need for recovery (NFR), an important indicator of wellbeing, is unknown and therefore examined. Methods Baseline data from a cluster randomized controlled trial was used. A subgroup of 89 white collar workers wore a triaxial accelerometer for 7 days. NFR was measured using the Questionnaire on the Experience and Evaluation of Work. Compositional data analysis was applied to determine the composition of different OSB bouts (short, medium and long) and occupational physical activity (OPA) (light, moderate and vigorous and standing). Linear regression analyses were performed to explore the associations between occupational compositions and NFR. Results Relatively more time spent in long OSB bouts was associated with a lower NFR (β: -11.30, 95% CI: -20.2 to -2.4). Short and medium OSB bouts and OPA were not associated with NFR. Conclusion Associations between OSB bouts, OPA and NFR hinted at contrasting trends, suggesting the need to consider different bout lengths of OSB in future studies.
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Affiliation(s)
- Denise J. M. Smit
- Centre for Prevention, Lifestyle and Health, Department Behavior and Health, National Institute for Public Health and the Environment, Bilthoven, Netherlands
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Vrije Universiteit (VU) Medical Center, Amsterdam, Netherlands
| | - Laura J. G. C. Burgers
- Centre for Prevention, Lifestyle and Health, Department Behavior and Health, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Sandra H. van Oostrom
- Centre for Prevention, Lifestyle and Health, Department Behavior and Health, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Henri Vähä-Ypyä
- The UKK-Institute for Health Promotion Research, Tampere, Finland
| | - Pauliina Husu
- The UKK-Institute for Health Promotion Research, Tampere, Finland
| | - Simone J. J. M. Verswijveren
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
| | - Karin I. Proper
- Centre for Prevention, Lifestyle and Health, Department Behavior and Health, National Institute for Public Health and the Environment, Bilthoven, Netherlands
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Vrije Universiteit (VU) Medical Center, Amsterdam, Netherlands
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5
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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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6
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Skarpsno ES. Causal overstatements in modern physical activity research. Br J Sports Med 2024; 58:697-699. [PMID: 38702184 DOI: 10.1136/bjsports-2023-108031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2024] [Indexed: 05/06/2024]
Affiliation(s)
- Eivind Schjelderup Skarpsno
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology and Clinical Neurophysiology, St. Olav's University Hospital, Trondheim, Norway
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7
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Haszard JJ, Jackson R, Morrison S, Meredith-Jones KA, Galland BC, Beebe DW, Elder DE, Taylor RW. Losing sleep influences dietary intake in children: a longitudinal compositional analysis of a randomised crossover trial. Int J Behav Nutr Phys Act 2024; 21:61. [PMID: 38835084 PMCID: PMC11149344 DOI: 10.1186/s12966-024-01607-5] [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: 09/24/2023] [Accepted: 05/20/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND Although inadequate sleep increases the risk of obesity in children, the mechanisms remain unclear. The aims of this study were to assess how sleep loss influenced dietary intake in children while accounting for corresponding changes in sedentary time and physical activity; and to investigate how changes in time use related to dietary intake. METHODS A randomized crossover trial in 105 healthy children (8-12 years) with normal sleep (~ 8-11 h/night) compared sleep extension (asked to turn lights off one hour earlier than usual for one week) and sleep restriction (turn lights off one hour later) conditions, separated by a washout week. 24-h time-use behaviors (sleep, wake after sleep onset, physical activity, sedentary time) were assessed using waist-worn actigraphy and dietary intake using two multiple-pass diet recalls during each intervention week. Longitudinal compositional analysis was undertaken with mixed effects regression models using isometric log ratios of time use variables as exposures and dietary variables as outcomes, and participant as a random effect. RESULTS Eighty three children (10.2 years, 53% female, 62% healthy weight) had 47.9 (SD 30.1) minutes less sleep during the restriction week but were also awake for 8.5 (21.4) minutes less at night. They spent this extra time awake in the day being more sedentary (+ 31 min) and more active (+ 21 min light physical activity, + 4 min MVPA). After adjusting for all changes in 24-h time use, losing 48 min of sleep was associated with consuming significantly more energy (262 kJ, 95% CI:55,470), all of which was from non-core foods (314 kJ; 43, 638). Increases in sedentary time were related to increased energy intake from non-core foods (177 kJ; 25, 329) whereas increases in MVPA were associated with higher intake from core foods (72 kJ; 7,136). Changes in diet were greater in female participants. CONCLUSION Loss of sleep was associated with increased energy intake, especially of non-core foods, independent of changes in sedentary time and physical activity. Interventions focusing on improving sleep may be beneficial for improving dietary intake and weight status in children. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ANZCTR ACTRN12618001671257, Registered 10th Oct 2018, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367587&isReview=true.
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Affiliation(s)
| | - Rosie Jackson
- Department of Medicine, University of Otago, PO Box 56, Dunedin, 9016, New Zealand
| | - Silke Morrison
- Department of Medicine, University of Otago, PO Box 56, Dunedin, 9016, New Zealand
| | - Kim A Meredith-Jones
- Department of Medicine, University of Otago, PO Box 56, Dunedin, 9016, New Zealand
| | - Barbara C Galland
- Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand
| | - Dean W Beebe
- Department of Pediatrics, Division of Behavioral Medicine and Clinical Psychology, University of Cincinnati College of Medicine, Cincinnati Children's Hospital Medical Centre, Cincinnati, OH, USA
| | - Dawn E Elder
- Department of Paediatrics and Child Health, University of Otago, Wellington, New Zealand
| | - Rachael W Taylor
- Department of Medicine, University of Otago, PO Box 56, Dunedin, 9016, New Zealand.
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Matricciani L, Dumuid D, Stanford T, Maher C, Bennett P, Bobrovskaya L, Murphy A, Olds T. Time use and dimensions of healthy sleep: A cross-sectional study of Australian children and adults. Sleep Health 2024; 10:348-355. [PMID: 38199899 DOI: 10.1016/j.sleh.2023.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 09/12/2023] [Accepted: 10/24/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND Sleep is increasingly recognized as a multidimensional construct that occurs within the 24-hour day. Despite advances in our understanding, studies continue to consider the relationship between sleep, sedentary time and physical activity separately, and not as part of the 24-hour day. AIMS To determine the association between the 24-hour activity composition and dimensions of healthy sleep. METHODS This study examined data on 1168 children (mean age 12years; 49% female) and 1360 adults (mean age 44years; 87% female) collected as part of the Child Health CheckPoint study. Participants were asked to wear a GENEActiv monitor (Activinsights, Cambs, UK) on their nondominant wrist for eight consecutive days to measure 24-hour time-use. Compositional data analysis was used to examine the association between time use (actigraphy-derived sleep duration, sedentary time, light physical activity and moderate-vigorous physical activity) and dimensions of healthy sleep. Healthy sleep was conceptualized in terms of continuity/efficiency, timing, alertness/sleepiness, satisfaction/quality, and regularity. Time allocations were also examined. RESULTS The 24-hour activity composition was significantly associated with all objectively measured and self-report dimensions of healthy sleep in both children and adults. Allocating more time to sleep was associated with earlier sleep onsets, later sleep offsets, less efficient and more consistent sleep patterns for both children and adults. CONCLUSION This study highlights the integral relationship between daily activities and dimensions of sleep. Considering sleep within the 24-hour day activity composition framework may help inform lifestyle decisions to improve sleep health.
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Affiliation(s)
- Lisa Matricciani
- Clinical & Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Rosemary Bryant AO Research Centre, University of South Australia, Adelaide, South Australia, Australia.
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Allied Health and Human Performance (AHHP), University of South Australia, Adelaide, South Australia, Australia; Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Ty Stanford
- Clinical & Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia
| | - Carol Maher
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Allied Health and Human Performance (AHHP), University of South Australia, Adelaide, South Australia, Australia
| | - Paul Bennett
- School of Nursing and Midwifery, Griffith Health, Griffith University, Brisbane, Queensland, Australia
| | - Larisa Bobrovskaya
- Health and Biomedical Innovation, Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Andrew Murphy
- Allied Health and Human Performance (AHHP), University of South Australia, Adelaide, South Australia, Australia
| | - Tim Olds
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Allied Health and Human Performance (AHHP), University of South Australia, Adelaide, South Australia, Australia; Murdoch Children's Research Institute, Parkville, Victoria, Australia
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9
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Wullems JA, Degens H, Morse CI, Onambélé-Pearson GL. Evaluating the effects of hormone therapy termination on skeletal muscle and physical independence in postmenopausal women. Menopause 2024; 31:546-555. [PMID: 38713886 DOI: 10.1097/gme.0000000000002356] [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: 05/09/2024]
Abstract
OBJECTIVE In women, the age-related decline in skeletal muscle structure and function is accelerated after menopause, which implicates the role of decreased circulating estrogen levels. Indeed, boosting estrogen, by means of postmenopausal hormone therapy (HT), generally proves beneficial to skeletal muscle. The evidence regarding whether these benefits persist even after cessation of HT is limited, nor is it clear how physical behavior (PB) impacts on benefits. Hence, this exploratory study focused on the interplay between HT administration/cessation, PB and in vivo skeletal muscle structure and function. METHODS Fifty healthy women (≥60 y) were included; 19 had an HT administration history (≥9 mo, with now ~8-y hiatus in treatment) and 31 no such history. On seven continuous days, PB data were collected using triaxial accelerometry and analyzed using compositional data analysis. Gastrocnemius medialis muscle volume, architecture, and function were determined using ultrasonography, electromyography, dual x-ray absorptiometry, and dynamometry. Current serum estradiol levels were measured using ELISA. RESULTS Only fascicle length and duration of HT administration were positively associated. With respect to PB levels, we found a pattern suggesting greater vitality (higher physical activity and lower sedentarism) in previous HT users, compared with nonusers, despite the two groups currently no longer exhibiting significantly different levels of circulating estradiol. CONCLUSIONS After an 8-year hiatus in treatment, HT provides limited advantages in gastrocnemius medialis muscle properties. Interestingly, it perhaps enhances vitality despite prolonged cessation, which in the longer term would facilitate greater physical independence, especially considering the association of sedentary behavior with greater frailty.
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Affiliation(s)
- Jorgen Antonin Wullems
- From the Department of Sport and Exercise Sciences, Institute of Sport, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK
| | | | - Christopher Ian Morse
- From the Department of Sport and Exercise Sciences, Institute of Sport, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK
| | - Gladys Leopoldine Onambélé-Pearson
- From the Department of Sport and Exercise Sciences, Institute of Sport, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK
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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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11
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Islam MR, Nyström CD, Kippler M, Kajantie E, Löf M, Rahman SM, Ekström EC. Accelerometer-Measured Physical Activity, Fitness and Indicators of Cardiometabolic Risk among Rural Adolescents: A Cross-Sectional Study at 15-Year Follow-up of the MINIMat Cohort. J Epidemiol Glob Health 2024:10.1007/s44197-024-00245-1. [PMID: 38771489 DOI: 10.1007/s44197-024-00245-1] [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: 09/29/2023] [Accepted: 05/12/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Little is known about the relationship of physical activity (PA) and fitness with cardiometabolic risk among rural adolescents in low- and middle-income countries. Thus, we examined the associations of PA and fitness with selected cardiometabolic indicators along with potential gender-based differences in a birth cohort of rural adolescents from southeast Bangladesh. METHODS We utilized data from the 15-year follow-up of Maternal and Infant Nutrition Interventions in Matlab (MINIMat) cohort (n = 2253). Wrist-worn ActiGraph wGT3x-BT accelerometers were used to estimate sedentary time (ST) and PA. Fitness was assessed using: handgrip strength, standing long jump, and Chester Step Test. Anthropometric parameters, systolic blood pressure (SBP), and fasting lipid, insulin and glucose levels were measured. We calculated insulin resistance using the Homeostasis Model Assessment equation (HOMA-IR). Linear regression and isotemporal substitution models were fitted. RESULTS The adolescents spent 64 min/day (inter-quartile range: 50-81) in moderate-to-vigorous physical activity (MVPA). A 10-minute-per-day higher vigorous PA (VPA) was associated with: 4.9% (95% confidence interval (CI): 2.9-6.8%) lower waist circumference (WC), 3.2 mmHg (95% CI: 1.5-4.8) lower SBP, 10.4% (95% CI: 2.9-17.3%) lower TG, and 24.4% (95% CI: 11.3-34.9%) lower HOMA-IR. MVPA showed similar associations of notably smaller magnitude. Except for WC, the associations were more pronounced among the boys. Substituting ST with VPA of equal duration was associated with lower WC, SBP, triglyceride and HOMA-IR. Grip strength was favorably associated with all indicators, displaying considerably large effect sizes. CONCLUSION Our findings indicated beneficial roles of PA- particularly VPA- and muscular fitness in shaping cardiometabolic profile in mid-adolescence. VPA and grip strength may represent potential targets for preventive strategies tailored to adolescents in resource-limited settings.
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Affiliation(s)
| | | | - Maria Kippler
- Institute of Environmental Medicine, Unit of Metals and Health, Karolinska Institutet, Stockholm, Sweden
| | - Eero Kajantie
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- PEDEGO Research Unit, MRC Oulu, Oulu University Hospital & University of Oulu, Oulu, Finland
| | - Marie Löf
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Syed Moshfiqur Rahman
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
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12
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Lohne FK, Fimland MS, Rasmussen CL, Liaset IF, Fischer H, Redzovic S. Is patients' activities of daily living self-care score in Norwegian home care a proxy for workers standing at work? BMC Health Serv Res 2024; 24:565. [PMID: 38724977 PMCID: PMC11080116 DOI: 10.1186/s12913-024-10897-1] [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: 04/27/2023] [Accepted: 03/25/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Prolonged standing at work may contribute to increased risk of musculoskeletal pain in home care workers. Patients' activities of daily living (ADL) score may be a proxy for home care workers' standing time at work. The objective of the present study was to investigate the association between patients' ADL self-care score, and workers standing time. METHODS This cross-sectional study measured time spent standing, sitting and in physical activity for seven days using thigh-worn accelerometers, among 14 home care workers. Patients' ADL self-care scores are routinely adjusted by home care nurses, and time intervals of home care visits are stored in home care services electronic patient journal. We collected ADL self-care scores and start and end time points of visits, and categorized ADL self-care scores as low (ADL ≤ 2.0), medium (ADL > 2.0 to 3.0) or high (ADL > 3.0). Physical behavior data were transformed to isometric log-ratios and a mixed-effect model was used to investigate differences in physical behavior between the three ADL self-care score categories. RESULTS We analyzed 931 patient visits and found that high ADL self-care scores were associated with longer standing times relative to sitting and physical activity, compared to low ADL score (0.457, p = 0.001). However, no significant differences in time spent standing were found between high and medium ADL patient visits (0.259, p = 0.260), nor medium and low (0.204, p = 0.288). High ADL score patients made up 33.4% of the total care time, despite only making up 7.8% of the number of patients. CONCLUSION Our findings suggest that caring for patients with high ADL self-care score requires workers to stand for longer durations and that this group of patients constitute a significant proportion of home care workers' total work time. The findings of this study can inform interventions to improve musculoskeletal health among home care workers by appropriate planning of patient visits.
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Affiliation(s)
- Fredrik Klæboe Lohne
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
| | - Marius Steiro Fimland
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Unicare Helsefort Rehabilitation Centre, Rissa, Norway
| | | | - Ingeborg Frostad Liaset
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Heike Fischer
- Trondheim municipality, Bergheim home care service, Postboks 2300 Torgarden, Trondheim, 7004, Norway
| | - Skender Redzovic
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
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13
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Boudreaux BD, Frederick GM, O'Connor PJ, Evans EM, Schmidt MD. Harmonization of three different accelerometers to classify the 24 h activity cycle. Physiol Meas 2024; 45:045003. [PMID: 38530322 DOI: 10.1088/1361-6579/ad37ed] [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: 08/04/2023] [Accepted: 03/26/2024] [Indexed: 03/27/2024]
Abstract
Increasing interest in measuring key components of the 24 h activity cycle (24-HAC) [sleep, sedentary behavior (SED), light physical activity (LPA), and moderate to vigorous physical activity (MVPA)] has led to a need for better methods. Single wrist-worn accelerometers and different self-report instruments can assess the 24-HAC but may not accurately classify time spent in the different components or be subject to recall errors.Objective. To overcome these limitations, the current study harmonized output from multiple complimentary research grade accelerometers and assessed the feasibility and logistical challenges of this approach.Approach. Participants (n= 108) wore an: (a) ActiGraph GT9X on the wrist, (b) activPAL3 on the thigh, and (c) ActiGraph GT3X+ on the hip for 7-10 d to capture the 24-HAC. Participant compliance with the measurement protocol was compared across devices and an algorithm was developed to harmonize data from the accelerometers. The resulting 24-HAC estimates were described within and across days.Main results. Usable data for each device was obtained from 94.3% to 96.7% of participants and 89.4% provided usable data from all three devices. Compliance with wear instructions ranged from 70.7% of days for the GT3X+ to 93.2% of days for the activPAL3. Harmonized estimates indicated that, on average, university students spent 34% of the 24 h day sleeping, 41% sedentary, 21% in LPA, and 4% in MVPA. These behaviors varied substantially by time of day and day of the week.Significance. It is feasible to use three accelerometers in combination to derive a harmonized estimate the 24-HAC. The use of multiple accelerometers can minimize gaps in 24-HAC data however, factors such as additional research costs, and higher participant and investigator burden, should also be considered.
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Affiliation(s)
- Benjamin D Boudreaux
- Columbia University Irving Medical Center, New York, NY 10032-3784, United States of America
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14
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Aagaard KM, Barkin SL, Burant CF, Carnell S, Demerath E, Donovan SM, Eneli I, Francis LA, Gilbert-Diamond D, Hivert MF, LeBourgeois MK, Loos RJF, Lumeng JC, Miller AL, Okely AD, Osganian SK, Ramirez AG, Trasande L, Van Horn LV, Wake M, Wright RJ, Yanovski SZ. Understanding risk and causal mechanisms for developing obesity in infants and young children: A National Institutes of Health workshop. Obes Rev 2024; 25:e13690. [PMID: 38204366 DOI: 10.1111/obr.13690] [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: 11/10/2022] [Revised: 10/02/2023] [Accepted: 11/21/2023] [Indexed: 01/12/2024]
Abstract
Obesity in children remains a major public health problem, with the current prevalence in youth ages 2-19 years estimated to be 19.7%. Despite progress in identifying risk factors, current models do not accurately predict development of obesity in early childhood. There is also substantial individual variability in response to a given intervention that is not well understood. On April 29-30, 2021, the National Institutes of Health convened a virtual workshop on "Understanding Risk and Causal Mechanisms for Developing Obesity in Infants and Young Children." The workshop brought together scientists from diverse disciplines to discuss (1) what is known regarding epidemiology and underlying biological and behavioral mechanisms for rapid weight gain and development of obesity and (2) what new approaches can improve risk prediction and gain novel insights into causes of obesity in early life. Participants identified gaps and opportunities for future research to advance understanding of risk and underlying mechanisms for development of obesity in early life. It was emphasized that future studies will require multi-disciplinary efforts across basic, behavioral, and clinical sciences. An exposome framework is needed to elucidate how behavioral, biological, and environmental risk factors interact. Use of novel statistical methods may provide greater insights into causal mechanisms.
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Affiliation(s)
- Kjersti M Aagaard
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine, Houston, Texas, USA
- Department of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Shari L Barkin
- Department of Pediatrics, Children's Hospital of Richmond, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Charles F Burant
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Susan Carnell
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ellen Demerath
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Sharon M Donovan
- Division of Nutritional Sciences, University of Illinois, Urbana-Champaign, Illinois, USA
- Department of Food Science and Human Nutrition, University of Illinois, Urbana-Champaign, Illinois, USA
| | - Ihuoma Eneli
- Center for Healthy Weight and Nutrition, Department of Pediatrics, Nationwide Children's Hospital, Columbus, Ohio, USA
- Center of Nutrition, Department of Pediatrics, University of Colorado, Aurora, Colorado, USA
| | - Lori A Francis
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Diane Gilbert-Diamond
- Department of Epidemiology, Medicine and Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Monique K LeBourgeois
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Ruth J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Julie C Lumeng
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Alison L Miller
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Anthony D Okely
- School of Health and Society, Faculty of Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia
- llawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia
- Department of Sport, Food, and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Stavroula K Osganian
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Amelie G Ramirez
- Department of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Leonardo Trasande
- Department of Pediatrics, New York University (NYU) School of Medicine, New York, New York, USA
- Department of Environmental Medicine, New York University (NYU) School of Medicine, New York, New York, USA
- Department of Population Health, New York University (NYU) School of Medicine, New York, New York, USA
| | - Linda V Van Horn
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois, USA
| | - Melissa Wake
- Population Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, Kravis Children's Hospital, New York, New York, USA
| | - Susan Z Yanovski
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
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Neville RD, Hopkins WG, McArthur BA, Draper CE, Madigan S. Associations Between Changes in 24-Hour Movement Behaviors in Children and Adolescents During the COVID-19 Pandemic: A Systematic Review and Mediation-Based Meta-Analysis. J Phys Act Health 2024; 21:323-332. [PMID: 38194951 DOI: 10.1123/jpah.2023-0346] [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: 07/08/2023] [Revised: 11/25/2023] [Accepted: 12/11/2023] [Indexed: 01/11/2024]
Abstract
BACKGROUND Although 24-hour movement behaviors are known to be interconnected, limited knowledge exists about whether change in one behavior during the COVID-19 pandemic (eg, increased screen time) was associated with change in another (eg, reduced physical activity or sleep). This review estimates mediational associations between changes in children's physical activity, screen time, and sleep during the COVID-19 pandemic. METHODS We included studies published between January 1, 2020 and June 27, 2022, in the PubMed/MEDLINE, Embase, PsycINFO, SPORTDiscus, and Web of Science databases. Summary data were extracted from included studies and analyzed with random-effects meta-regression. RESULTS This review included 26 studies representing 18,959 children across 18 mid-high-income countries (53% male; mean age, 11.5 [2.9] y). There was very good evidence of decreased total daily physical activity (factor change, 0.62; 90% CI, 0.47-0.81) and strong evidence of increased screen time (1.56; 90% CI, 1.38-1.77). There was very good evidence of decreased moderate to vigorous physical activity (0.75; 90% CI, 0.62-0.90) and weak evidence of increased sleep (1.02; 90% CI, 1.00-1.04). Mediational analysis revealed strong evidence that most of the reduction in total daily physical activity from before, to during, the pandemic was associated with increased screen time (0.53; 90% CI, 0.42-0.67). We observed no further mediational associations. CONCLUSION Increased reliance on and use of screen-based devices during the COVID-19 pandemic can be linked with reduced child and adolescent physical activity. This finding links COVID-related restrictions to potential displacement effects within child and adolescent 24-hour movement behavior.
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Affiliation(s)
- Ross D Neville
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - William G Hopkins
- Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
| | - Brae Anne McArthur
- Department of Psychology, University of Calgary, Calgary, AL, Canada
- Alberta Children's Hospital Research Institute, Calgary, AL, Canada
| | - Catherine E Draper
- South African Medical Research Council Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sheri Madigan
- Department of Psychology, University of Calgary, Calgary, AL, Canada
- Alberta Children's Hospital Research Institute, Calgary, AL, Canada
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16
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Silva DAS, Duncan MJ, Kuzik N, Tremblay MS. Race/Ethnicity Inequities in the Association Between Movement Behaviors and Suicidal Thoughts/Ideation Among Adolescents. J Pediatr Psychol 2024; 49:166-174. [PMID: 37978856 DOI: 10.1093/jpepsy/jsad085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 10/24/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023] Open
Abstract
OBJECTIVE We aimed to analyze the associations between movement behaviors (physical activity, screen time, and sleep), independently and jointly, and suicidal thoughts/ideation among Brazilian adolescents according to race/ethnicity. METHODS This cross-sectional study surveyed 4,081 adolescents aged 15-19 years (49.9% females) across all Brazilian geographic regions. Data were collected using a self-administered questionnaire. Within the sample, 31.0% (n = 1,264) self-reported as White and 69.0% (n = 2,817) as Black. Adolescents who declared one or more times/week suicidal thoughts/ideation were considered as a risk group. Accruing moderate-to-vigorous physical activity during leisure time, reduced recreational screen time, and good sleep quality were the exposures investigated. We evaluated both additive and multiplicative interactions between race/ethnicity and movement behaviors. Binary logistic regression was used to estimate the odds ratio (OR), marginal means effects, and 95% confidence intervals (95% CIs). RESULTS Black adolescents who met 1 (OR: 0.34; [95% CI: 0.22-0.52]), 2 (OR: 0.17 [0.11-0.27]), or 3 (OR: 0.13 [0.07-0.26]), and White adolescents who met 1 (OR: 0.35 [0.21-0.57]), 2 (OR: 0.14 [0.08-0.26]), or 3 (OR: 0.11 [0.04-0.31]) of the movement behavior targets had lower odds of suicidal thoughts/ideation than Black adolescents who did not meet any of the movement behavior targets. Black adolescents who did not meet any of the movement behavior targets had higher suicidal thoughts/ideation odds than the other adolescent's groups. CONCLUSIONS We identified an inverse association between meeting individuals and combinations of movement behavior targets with suicidal thoughts/ideation. Among Black adolescents who did not meet any targets, these associations were more evident.
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Affiliation(s)
| | - Markus Joseph Duncan
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Nicholas Kuzik
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Mark S Tremblay
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- Department of Pediatrics, University of Ottawa, Ottawa, Ontario, Canada
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17
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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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18
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Badon SE, Ferrara A, Gabriel KP, Dooley EE, Quesenberry CP, Avalos LA, Hedderson MM. Behavior reallocations within 24-h movement profiles and change in cardiometabolic biomarkers during pregnancy. Obesity (Silver Spring) 2024; 32:623-632. [PMID: 38282117 PMCID: PMC10922563 DOI: 10.1002/oby.23971] [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: 09/06/2023] [Revised: 10/27/2023] [Accepted: 11/24/2023] [Indexed: 01/30/2024]
Abstract
OBJECTIVE The goal of this study was to investigate associations of reallocations within 24-h movement profiles and changes in cardiometabolic biomarkers from early to late pregnancy. METHODS In 137 individuals with prepregnancy overweight/obesity, waking movement was measured using wrist-worn accelerometers, sleep was self-reported, and biomarkers were measured in fasting serum samples at 12 and 32 weeks' gestation. We used compositional isotemporal substitution models. RESULTS On average, biomarkers increased 21%-83% across pregnancy. For those with guideline-recommended moderate/vigorous-intensity physical activity (MVPA) in early pregnancy, reallocating 30 min from MVPA to sleep, sedentary behavior, or light-intensity physical activity (LPA) was associated with a 0.6 mmol/L greater increase in total cholesterol (95% CI: -0.1 to 1.2) and a 0.7 mmol/L greater increase in low-density lipoprotein (LDL) cholesterol (95% CI: 0.1 to 1.3) from early to late pregnancy. For those with low MVPA in early pregnancy, reallocating 30 min from sleep, sedentary behavior, or LPA to MVPA was associated with a 0.6 mmol/L lower increase in total cholesterol (95% CI: -1.3 to 0.1) and a 0.8 mmol/L lower increase in LDL cholesterol (95% CI: -1.4 to -0.1) from early to late pregnancy. There were no associations with change in glucose, insulin, homeostatic model assessment for insulin resistance, very low-density lipoprotein, or high-density lipoprotein cholesterol, triglycerides, or free fatty acids. CONCLUSIONS Maintaining or achieving a 24-h movement profile with guideline-recommended amounts of MVPA may be beneficial for reducing pregnancy-induced increases in total and LDL cholesterol.
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Affiliation(s)
- Sylvia E Badon
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
- Kaiser Permanente Northern California Center for Upstream Prevention of Adiposity and Diabetes Mellitus (UPSTREAM), Oakland, California, USA
| | - Assiamira Ferrara
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
- Kaiser Permanente Northern California Center for Upstream Prevention of Adiposity and Diabetes Mellitus (UPSTREAM), Oakland, California, USA
| | - Kelley Pettee Gabriel
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Erin E Dooley
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Charles P Quesenberry
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Lyndsay A Avalos
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
- Kaiser Permanente Northern California Center for Upstream Prevention of Adiposity and Diabetes Mellitus (UPSTREAM), Oakland, California, USA
| | - Monique M Hedderson
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
- Kaiser Permanente Northern California Center for Upstream Prevention of Adiposity and Diabetes Mellitus (UPSTREAM), Oakland, California, USA
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19
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Wullems JA, Degens H, Verschueren SMP, Morse CI, Grant DM, Onambélé-Pearson GL. Sedentary behaviour (especially accumulation pattern) has an independent negative impact on skeletal muscle size and architecture in community-dwelling older adults. PLoS One 2024; 19:e0294555. [PMID: 38394127 PMCID: PMC10889859 DOI: 10.1371/journal.pone.0294555] [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: 11/21/2022] [Accepted: 11/03/2023] [Indexed: 02/25/2024] Open
Abstract
Prolonged sedentary behaviour (SB) i.e. longer bouts, is suggested to have a range of negative health effects, independent of habitual light and medium-to-vigorous physical activity (LIPA or MVPA). Any effect on musculoskeletal size, architecture or morphology has seldom been reported in older adults. Moreover, no study has yet determined if any association would persist following adjustment for covariates. Therefore, the aim of the present study was to investigate the associations between SB, and properties of the Gastrocnemius Medialis (GM) muscle, in a cross-sectional sample of older adults using compositional data analysis. 105 healthy older adults (73±6y) wore a thigh mounted tri-axial accelerometer for seven consecutive days, and underwent ultrasound [e.g. muscle length (Lm), anatomical cross-sectional area (ACSA), muscle volume (VM), fascicle length (LF), & physiological cross-sectional area (PCSA)], body composition (e.g. DEXA) and health (e.g. medical history) assessments. In-unadjusted models, SB time was negatively associated with ACSA at 75% of Lm (R2adj = 0.085), VM (R2adj = 0.020), and PCSA (R2adj = 0.039). Standing was positively associated with pennation angle (R2adj = 0.110), which persisted following co-variate adjustment (R2adj = 0.296). In fully adjusted models, both SB & LIPA time were associated with ACSA at 75% of Lm (Both R2adj = 0.393). Standing and light activity time were also associated with LF, VM, & PCSA (R2adj 0.116-0.573). In fully adjusted models, SB pattern parameters (i.e. the manner in which sedentary behaviour is accumulated daily throughout waking hours such as the timing, duration and frequency of sedentary bouts), were associated with GM muscle properties (R2adj 0.156-0.564) including LM, LF, and VM. The pattern, rather than accumulated daily SB time, was associated with the size and architecture of the GM. Our results suggest that regardless of co-existing habitual physical activities, SB bouts should be kept short and frequently interrupted to offset some of the deleterious ageing-related muscle architecture characteristics changes.
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Affiliation(s)
- Jorgen A. Wullems
- Department of Sport and Exercise Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom
- Musculoskeletal Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Hans Degens
- Department of Life Sciences, Manchester Metropolitan University, Manchester, United Kingdom
- Lithuanian Sports University, Kaunas, Lithuania
| | - Sabine M. P. Verschueren
- Musculoskeletal Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Christopher I. Morse
- Department of Sport and Exercise Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom
| | - Dale M. Grant
- Department of Sport and Exercise Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom
| | - Gladys L. Onambélé-Pearson
- Department of Sport and Exercise Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom
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20
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Ezeugwu VE, Manns PJ. Compositional associations between movement-related behaviours and functional outcomes post-stroke. Disabil Rehabil 2024:1-7. [PMID: 38372048 DOI: 10.1080/09638288.2024.2317995] [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: 07/20/2023] [Accepted: 02/07/2024] [Indexed: 02/20/2024]
Abstract
PURPOSE To examine the associations between the composition of movement-related behaviours (sedentary behaviour, sleep, standing, and stepping) and functional outcomes post-stroke. METHODS This study included 34 adults with stroke (mean age: 64.6 ± 12.5 years; time since stroke: 3.5 ± 1.1 months) who underwent an 8-week sedentary behaviour intervention. Functional outcomes were assessed using the timed up and go (TUG) and gait speed tests. Compositional data analysis was used to investigate the relationships between movement-related behaviours and functional outcomes. RESULTS The baseline composition of movement-related behaviours showed significant associations with changes in TUG (F = 4.28, p = 0.01) and gait speed (F = 4.63, p = 0.01) after the 8-week reducing sedentary behaviour intervention. Reallocating ≥ 30 min/day to stepping, while proportionally decreasing other movement-related behaviours, was associated with a significant change in TUG. Similarly, a relative reallocation of ≥ 40 min/day to stepping was associated with a clinically meaningful change in gait speed. CONCLUSIONS This study highlights the importance of considering movement-related behaviours in relation to functional outcomes post-stroke. Reallocating at least 30 min per day to stepping, relative to a reduction in other movement-related behaviours, is associated with significant and meaningful change in functional outcomes.
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Affiliation(s)
- Victor E Ezeugwu
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
| | - Patricia J Manns
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
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21
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Verhavert Y, Deliens T, Van Cauwenberg J, Van Hoof E, Matthys C, de Vries J, Clarys P, De Martelaer K, Zinzen E. Associations of lifestyle with burnout risk and recovery need in Flemish secondary schoolteachers: a cross-sectional study. Sci Rep 2024; 14:3268. [PMID: 38332138 PMCID: PMC10853556 DOI: 10.1038/s41598-024-53044-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/27/2024] [Indexed: 02/10/2024] Open
Abstract
Teacher burnout and high recovery need are a topic of concern for educational institutions. This cross-sectional study assesses the association between lifestyle (including physical activity (PA), sedentary behavior (SB), dietary behavior and sleep), burnout risk and recovery need in 1878 secondary schoolteachers in Flanders. In September-October 2019, an online-questionnaire assessing burnout (i.e., emotional exhaustion, depersonalization, personal accomplishment), recovery need, PA-domains, SB-domains, dietary behavior (including fruit and vegetable intake and diet quality) and sleep during the week and the weekend was completed. Multiple linear regression models were applied. More emotional exhaustion was associated with more domestic and garden PA, work-related SB and sleep during the weekend, whereas higher scores of emotional exhaustion were associated with lower fruit intake, diet quality and less sleep during the week. More depersonalization was associated with more leisure-time PA and work-related SB and with lower fruit intake. Teachers showing more recovery need, showed more domestic and garden PA and work-related SB, but less leisure-time PA and sleep during the week. Future research should use longitudinal or experimental designs to get more insight into causality. Despite the low effect sizes, education networks and schools might benefit from promoting and facilitating a healthy lifestyle in secondary schoolteachers.
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Affiliation(s)
- Yanni Verhavert
- Department of Movement and Sport Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium.
| | - Tom Deliens
- Department of Movement and Sport Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
| | - Jelle Van Cauwenberg
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Research Foundation - Flanders (FWO), Leuvenseweg 38, 1000, Brussels, Belgium
| | | | - Christophe Matthys
- Department of Endocrinology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Juriena de Vries
- Department of Health, Medical and Neuropyschology, University of Leiden, Wassenaarseweg 52, 2333 AK, Leiden, The Netherlands
| | - Peter Clarys
- Department of Movement and Sport Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
| | - Kristine De Martelaer
- Department of Movement and Sport Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
| | - Evert Zinzen
- Department of Movement and Sport Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
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22
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Baldanzi G, Sayols-Baixeras S, Ekblom-Bak E, Ekblom Ö, Dekkers KF, Hammar U, Nguyen D, Ahmad S, Ericson U, Arvidsson D, Börjesson M, Johanson PJ, Smith JG, Bergström G, Lind L, Engström G, Ärnlöv J, Kennedy B, Orho-Melander M, Fall T. Accelerometer-based physical activity is associated with the gut microbiota in 8416 individuals in SCAPIS. EBioMedicine 2024; 100:104989. [PMID: 38301483 PMCID: PMC10844941 DOI: 10.1016/j.ebiom.2024.104989] [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: 08/01/2023] [Revised: 12/19/2023] [Accepted: 01/15/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Previous population-based studies investigating the relationship between physical activity and the gut microbiota have relied on self-reported activity, prone to reporting bias. Here, we investigated the associations of accelerometer-based sedentary (SED), moderate-intensity (MPA), and vigorous-intensity (VPA) physical activity with the gut microbiota using cross-sectional data from the Swedish CArdioPulmonary bioImage Study. METHODS In 8416 participants aged 50-65, time in SED, MPA, and VPA were estimated with hip-worn accelerometer. Gut microbiota was profiled using shotgun metagenomics of faecal samples. We applied multivariable regression models, adjusting for sociodemographic, lifestyle, and technical covariates, and accounted for multiple testing. FINDINGS Overall, associations between time in SED and microbiota species abundance were in opposite direction to those for MPA or VPA. For example, MPA was associated with lower, while SED with higher abundance of Escherichia coli. MPA and VPA were associated with higher abundance of the butyrate-producers Faecalibacterium prausnitzii and Roseburia spp. We observed discrepancies between specific VPA and MPA associations, such as a positive association between MPA and Prevotella copri, while no association was detected for VPA. Additionally, SED, MPA and VPA were associated with the functional potential of the microbiome. For instance, MPA was associated with higher capacity for acetate synthesis and SED with lower carbohydrate degradation capacity. INTERPRETATION Our findings suggest that sedentary and physical activity are associated with a similar set of gut microbiota species but in opposite directions. Furthermore, the intensity of physical activity may have specific effects on certain gut microbiota species. FUNDING European Research Council, Swedish Heart-Lung Foundation, Swedish Research Council, Knut and Alice Wallenberg Foundation.
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Affiliation(s)
- Gabriel Baldanzi
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Sergi Sayols-Baixeras
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden; CIBER Cardiovascular Diseases (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Elin Ekblom-Bak
- Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - Örjan Ekblom
- Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - Koen F Dekkers
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Ulf Hammar
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Diem Nguyen
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Shafqat Ahmad
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Preventive Medicine Division, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States
| | - Ulrika Ericson
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Daniel Arvidsson
- Center for Health and Performance, Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg, Sweden
| | - Mats Börjesson
- Center for Lifestyle Intervention, Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden; Department of Medicine, Geriatric and Acute Medicine Östra, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Peter J Johanson
- Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Occupational and Environmental Medicine, Uppsala University Hospital, Uppsala, Sweden
| | - J Gustav Smith
- The Wallenberg Laboratory/Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and the Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden; Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund University, Lund, Sweden
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Clinical Physiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - Lars Lind
- Clinical Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Johan Ärnlöv
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Huddinge, Sweden; School of Health and Social Studies, Dalarna University, Falun, Sweden
| | - Beatrice Kennedy
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | | | - Tove Fall
- Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
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23
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Mellow ML, Dumuid D, Olds T, Stanford T, Dorrian J, Wade AT, Fripp J, Xia Y, Goldsworthy MR, Karayanidis F, Breakspear MJ, Smith AE. Cross-sectional associations between 24-hour time-use composition, grey matter volume and cognitive function in healthy older adults. Int J Behav Nutr Phys Act 2024; 21:11. [PMID: 38291446 PMCID: PMC10829181 DOI: 10.1186/s12966-023-01557-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 12/28/2023] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Increasing physical activity (PA) is an effective strategy to slow reductions in cortical volume and maintain cognitive function in older adulthood. However, PA does not exist in isolation, but coexists with sleep and sedentary behaviour to make up the 24-hour day. We investigated how the balance of all three behaviours (24-hour time-use composition) is associated with grey matter volume in healthy older adults, and whether grey matter volume influences the relationship between 24-hour time-use composition and cognitive function. METHODS This cross-sectional study included 378 older adults (65.6 ± 3.0 years old, 123 male) from the ACTIVate study across two Australian sites (Adelaide and Newcastle). Time-use composition was captured using 7-day accelerometry, and T1-weighted magnetic resonance imaging was used to measure grey matter volume both globally and across regions of interest (ROI: frontal lobe, temporal lobe, hippocampi, and lateral ventricles). Pairwise correlations were used to explore univariate associations between time-use variables, grey matter volumes and cognitive outcomes. Compositional data analysis linear regression models were used to quantify associations between ROI volumes and time-use composition, and explore potential associations between the interaction between ROI volumes and time-use composition with cognitive outcomes. RESULTS After adjusting for covariates (age, sex, education), there were no significant associations between time-use composition and any volumetric outcomes. There were significant interactions between time-use composition and frontal lobe volume for long-term memory (p = 0.018) and executive function (p = 0.018), and between time-use composition and total grey matter volume for executive function (p = 0.028). Spending more time in moderate-vigorous PA was associated with better long-term memory scores, but only for those with smaller frontal lobe volume (below the sample mean). Conversely, spending more time in sleep and less time in sedentary behaviour was associated with better executive function in those with smaller total grey matter volume. CONCLUSIONS Although 24-hour time use was not associated with total or regional grey matter independently, total grey matter and frontal lobe grey matter volume moderated the relationship between time-use composition and several cognitive outcomes. Future studies should investigate these relationships longitudinally to assess whether changes in time-use composition correspond to changes in grey matter volume and cognition.
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Affiliation(s)
- Maddison L Mellow
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Timothy Olds
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Ty Stanford
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Jillian Dorrian
- Behaviour-Brain-Body Research Centre, Justice and Society, University of South Australia, Adelaide, Australia
| | - Alexandra T Wade
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Jurgen Fripp
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, Queensland, Australia
| | - Ying Xia
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, Queensland, Australia
| | - Mitchell R Goldsworthy
- Behaviour-Brain-Body Research Centre, Justice and Society, University of South Australia, Adelaide, Australia
- School of Biomedicine, University of Adelaide, Adelaide, Australia
- Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
| | - Frini Karayanidis
- Functional Neuroimaging Laboratory, School of Psychological Sciences, College of Engineering, Science and the Environment, University of Newcastle, Callaghan, Australia
| | - Michael J Breakspear
- Functional Neuroimaging Laboratory, School of Psychological Sciences, College of Engineering, Science and the Environment, University of Newcastle, Callaghan, Australia
- Discipline of Psychiatry, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
| | - Ashleigh E Smith
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
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24
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Kim Y, Jang H, Wang M, Shi Q, Strain T, Sharp SJ, Yeung SLA, Luo S, Griffin S, Wareham NJ, Wijndaele K, Brage S. Replacing device-measured sedentary time with physical activity is associated with lower risk of coronary heart disease regardless of genetic risk. J Intern Med 2024; 295:38-50. [PMID: 37614046 PMCID: PMC10953003 DOI: 10.1111/joim.13715] [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: 08/25/2023]
Abstract
BACKGROUND Excess sedentary time (ST) is recognized as an important modifiable risk factor for coronary heart disease (CHD). However, whether the associations of genetic susceptibility with CHD incidence can be modified by replacing wearable-device-measured ST with physical activity (PA) is unknown. OBJECTIVES To examine the associations of wearable-device-measured ST replaced by PA with incident CHD across strata of genetic susceptibility. METHODS This study included 77,500 White British (57% female) with valid wrist-worn accelerometry and without prevalent CHD/stroke from UK Biobank. Genetic susceptibility to CHD was quantified through weighted polygenic risk scores for CHD based on 300 single-nucleotide polymorphisms. Wrist-worn accelerometer data were used to derive ST, light PA, and moderate-to-vigorous PA (MVPA). RESULTS Reallocation of 60 min/day of ST into the same amount of MVPA was associated with approximately 9% lower relative risk of CHD for all participants and across strata of genetic risk: replacement of 1 min/day of ST associated with <1% lower relative risk of CHD. No evidence of interaction (p: 0.784) was found between genetic risk and ST for CHD risk. Reallocating 60 min/day of ST into the same MVPA time was associated with greater absolute CHD risk reductions at high genetic risk (0.27%) versus low genetic risk (0.15%). CONCLUSIONS Replacing any amount of ST with an equal amount of MVPA time is associated with a lower relative risk of CHD, irrespective of genetic susceptibility to CHD. Reductions in CHD absolute risk for replacing ST with MVPA are greater at high genetic risk versus low genetic risk.
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Affiliation(s)
- Youngwon Kim
- School of Public HealthThe University of Hong Kong Li Ka Shing Faculty of MedicinePokfulamHong Kong
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUnited Kingdom
| | - Haeyoon Jang
- School of Public HealthThe University of Hong Kong Li Ka Shing Faculty of MedicinePokfulamHong Kong
| | - Mengyao Wang
- School of Public HealthThe University of Hong Kong Li Ka Shing Faculty of MedicinePokfulamHong Kong
| | - Qiaoxin Shi
- School of Public HealthThe University of Hong Kong Li Ka Shing Faculty of MedicinePokfulamHong Kong
| | - Tessa Strain
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUnited Kingdom
| | - Stephen J Sharp
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUnited Kingdom
| | - Shiu Lun Au Yeung
- School of Public HealthThe University of Hong Kong Li Ka Shing Faculty of MedicinePokfulamHong Kong
| | - Shan Luo
- School of Public HealthThe University of Hong Kong Li Ka Shing Faculty of MedicinePokfulamHong Kong
| | - Simon Griffin
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUnited Kingdom
| | - Nicholas J. Wareham
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUnited Kingdom
| | - Katrien Wijndaele
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUnited Kingdom
| | - Soren Brage
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical MedicineCambridgeUnited Kingdom
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25
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Volpato LA, Costa JC, Lopes WA, Sasaki JE, Romanzini CLP, Ronque ERV, Romanzini M. Time Reallocations From Sedentary Behavior to Physical Activity and Cardiovascular Risk Factors in Children and Adolescents: A Systematic Review. J Phys Act Health 2023; 20:1084-1091. [PMID: 37704195 DOI: 10.1123/jpah.2022-0471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 07/15/2023] [Accepted: 07/24/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Recent statistical approaches have allowed consideration of the integrated relationships between sedentary behavior (SB) and physical activity (PA) with different health outcomes. The present paper aimed to systematically review the literature and synthesize evidence about associations between hypothetical reallocations from SB to different PA intensities and cardiovascular risk factors in youth. METHODS A systematic search of 8 databases was performed. Observational studies with a population of children and/or adolescents and based on statistical analysis that investigated the associations between time reallocations from SB to PA and cardiovascular risk factors were included. RESULTS Twenty-eight studies met the inclusion criteria. Level of evidence (derived from cross-sectional studies) indicated that the reallocation from SB to moderate to vigorous PA was beneficially associated with adiposity, cardiorespiratory fitness, and cardiometabolic biomarkers in youth. Reallocation from SB to light PA was not associated with the analyzed outcomes. Associations derived from longitudinal studies were mostly inconclusive. CONCLUSION Cardiovascular risk factors could be improved by increasing moderate to vigorous PA at the expense of time spent in SB in pediatric populations. Prospective studies or studies investigating the effects of reallocating sedentary bouts to PA are needed.
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Affiliation(s)
- Leonardo Alex Volpato
- Laboratory of Physical Activity and Health, Center of Physical Education and Sports, State University of Londrina-UEL, Londrina, PR, Brazil
| | - Julio Cesar Costa
- Laboratory of Physical Activity and Health, Center of Physical Education and Sports, State University of Londrina-UEL, Londrina, PR, Brazil
| | - Wendell Arthur Lopes
- Department of Physical Education, Health Sciences Center, State University of Maringá-UEM, Maringá, PR, Brazil
| | - Jeffer Eidi Sasaki
- Department of Sports Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Catiana Leila Possamai Romanzini
- Laboratory of Physical Activity and Health, Center of Physical Education and Sports, State University of Londrina-UEL, Londrina, PR, Brazil
| | - Enio Ricardo Vaz Ronque
- Laboratory of Physical Activity and Health, Center of Physical Education and Sports, State University of Londrina-UEL, Londrina, PR, Brazil
| | - Marcelo Romanzini
- Laboratory of Physical Activity and Health, Center of Physical Education and Sports, State University of Londrina-UEL, Londrina, PR, Brazil
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Olds T, Singh B, Miatke A, Eglitis E, Maher C, Dumuid D. The Association Between Socioeconomic Status and Use of Time in Australian Children and Adolescents. J Adolesc Health 2023; 73:1068-1076. [PMID: 37665307 DOI: 10.1016/j.jadohealth.2023.07.007] [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: 09/09/2022] [Revised: 06/26/2023] [Accepted: 07/03/2023] [Indexed: 09/05/2023]
Abstract
PURPOSE There are well-known socioeconomic status (SES) gradients in children and adolescents' health which may be associated with time use. Our aim was to evaluate the association between Australian children's 24-hour time use and SES using four separate surveys from 2005 to 2021. METHODS Time use was assessed in 4526 8-19-year-olds from the 2005 Health of Young Victorians, 2007 National Children's Nutrition and Physical Activity, 2015 Child Health CheckPoint, and 2019-21 Life on Holidays study. Each survey used the same reliable, valid, 24-hour recall instrument. SES was quantified using tertiles of household income, education, and postcode-level measures. Compositional data analysis was used to compare 24-hour time use between SES categories, adjusting for age, sex, and puberty. RESULTS Time-use compositions differed significantly by SES in each survey. Relative to the lowest SES, children from the highest SES accumulated on average 31 min/day more School-related time, 6 min/day more Passive Transport and 6 min/day more Self-care. Conversely, they accumulated 30 min/day less Screen Time (which included computer time), 11 min/day less sleep, and spent 7 min/day less in Domestic/Social activities. There were only small differences in Quiet Time and Physical Activity. DISCUSSION SES-related differences in time use were robust across ages 8-19, a 16-year timespan, diverse Australian geographical regions, and using different SES metrics. The exchange of about 30 min/day between School-related activities and Screen Time amounts to >180 hours extra exposure to School-related activities annually in the highest SES category relative to the lowest, equivalent to >6 weeks of school time per year.
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Affiliation(s)
- Timothy Olds
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Centre for Adolescent Health, Murdoch Children's Research Centre, Royal Children's Hospital, Parkville, Melbourne, Victoria, Australia
| | - Ben Singh
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia.
| | - Aaron Miatke
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Centre for Adolescent Health, Murdoch Children's Research Centre, Royal Children's Hospital, Parkville, Melbourne, Victoria, Australia
| | - Emily Eglitis
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia
| | - Carol Maher
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia
| | - Dorothea Dumuid
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Centre for Adolescent Health, Murdoch Children's Research Centre, Royal Children's Hospital, Parkville, Melbourne, Victoria, Australia
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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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Telford DM, Meiring RM, Gusso S. Moving beyond moderate-to-vigorous physical activity: the role of light physical activity during adolescence. Front Sports Act Living 2023; 5:1282482. [PMID: 38022771 PMCID: PMC10652412 DOI: 10.3389/fspor.2023.1282482] [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: 09/03/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Regular physical activity is an important component of a healthy lifestyle for young people. However, an estimated 80% of adolescents globally are insufficiently active. Traditionally, health benefits were attributed only to physical activity of at least moderate intensity, and recommendations focused on achieving a threshold of moderate-to-vigorous physical activity, without consideration of other aspects of movement within the 24 h cycle. Recently, the overall daily balance of active and sedentary behaviours has gained recognition as an important determinant of health. However, the relationship between light intensity physical activity and health has not been fully explored. In this perspective paper, we discuss key challenges in defining, measuring and analysing light physical activity which have hindered the advancement of knowledge in this area. Next, we suggest three ways in which light physical activity may enhance adolescent wellbeing: firstly, by replacing sedentary behaviours to increase daily movement; secondly, by supporting the accumulation of higher intensities of physical activity; and thirdly, by providing positive experiences to facilitate lifelong engagement with physical activity. In highlighting the importance of light physical activity during adolescence, we aim to encourage critical reflection and the exploration of new approaches towards physical activity within public health and beyond.
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Affiliation(s)
- Deborah M. Telford
- Department of Exercise Sciences, University of Auckland, Auckland, New Zealand
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López-Gil JF, Tapia-Serrano MA, Sevil-Serrano J, Sánchez-Miguel PA, García-Hermoso A. Are 24-hour movement recommendations associated with obesity-related indicators in the young population? A meta-analysis. Obesity (Silver Spring) 2023; 31:2727-2739. [PMID: 37726964 DOI: 10.1002/oby.23848] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/08/2023] [Accepted: 06/04/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVE This study aimed to determine the relationship between meeting all three 24-hour movement recommendations (i.e., physical activity, sleep duration, and screen time) and obesity-related indicators among young people. METHODS Four databases were systematically searched (PubMed, Scopus, Web of Science, and Cochrane Library). RESULTS Meeting the 24-hour movement recommendations was cross-sectionally associated with lower overall obesity-related indicators (r = -0.09, 95% CI: -0.11 to -0.06), but no longitudinal association was found. Regarding each obesity-related indicator separately, meeting all three recommendations was related to lower odds of overweight/obesity (odds ratio = 0.65, 95% CI: 0.56 to 0.76) and obesity alone (odds ratio = 0.28, 95% CI: 0.16 to 0.50). An inverse relationship between meeting 24-hour movement recommendations and BMI, BMI z score, waist circumference, and body fat was also found. Regarding subgroup analysis, the association between 24-hour movement recommendations and overall obesity-related indicators was similar regardless of sex, comparison used (meeting all three vs. not meeting [i.e., those who met zero to two of the movement behaviors] or meeting all three vs. none), and type of measure to assess 24-hour movement recommendations (i.e., self-reported or accelerometer-based measures). CONCLUSIONS Meeting all 24-hour movement recommendations may be a crucial factor in maintaining a healthy weight status in the young population.
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Affiliation(s)
- José Francisco López-Gil
- Navarrabiomed, Hospital Universitario de Navarra, Universidad Pública de Navarra, IdiSNA, Pamplona, Spain
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts, USA
- One Health Research Group, Universidad de Las Américas, Quito, Ecuador
| | - Miguel Angel Tapia-Serrano
- Department of Didactics of Musical, Plastic and Body Expression, Faculty of Teaching Training, University of Extremadura, Avenida de la Universidad, Cáceres, Spain
| | - Javier Sevil-Serrano
- Department of Didactics of Musical, Plastic and Body Expression, Faculty of Teaching Training, University of Extremadura, Avenida de la Universidad, Cáceres, Spain
| | - Pedro Antonio Sánchez-Miguel
- Department of Didactics of Musical, Plastic and Body Expression, Faculty of Teaching Training, University of Extremadura, Avenida de la Universidad, Cáceres, Spain
| | - Antonio García-Hermoso
- Navarrabiomed, Hospital Universitario de Navarra, Universidad Pública de Navarra, IdiSNA, Pamplona, Spain
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Delisle Nyström C, Migueles JH, Henriksson P, Löf M. Physical Activity and Cardiovascular Risk Factors in Children from 4 to 9 Years of Age. SPORTS MEDICINE - OPEN 2023; 9:99. [PMID: 37874410 PMCID: PMC10597983 DOI: 10.1186/s40798-023-00647-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 10/10/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Physical activity guidelines for children encourage moderate-to-vigorous intensity activities (MVPA); however, some studies have found that only vigorous intensity activities (VPA) might promote health benefits in young children. Thus, the aim of this study is to investigate cross-sectional and 5-year longitudinal associations of VPA and MVPA with cardiovascular disease (CVD) risk factors in childhood using compositional data analysis. RESULTS This study utilized data from the SPINACH study (n = 411). Physical activity was measured with accelerometers at 4- and 9-years of age. CVD risk factors were measured at 9-years of age, and included blood pressure (BP), lipid metabolism, and glucose metabolism biomarkers, as well as a continuous metabolic syndrome risk score (MetS). Cross-sectional and longitudinal linear regression models were built using compositional data analysis standards. Cross-sectionally, reallocating time to VPA from lower-intensity behaviours at 9-years was associated with lower waist circumference (B = - 3.219, P = 0.002), diastolic BP (B = - 1.836, P = 0.036), triglycerides (B = - 0.214, P < 0.001), glucose (B = - 0.189, P = 0.033), insulin (B = - 2.997, P < 0.001), and HOMA-IR (B = - 0.778, P < 0.001). Similarly, reallocating time to VPA at 4-years was associated with lower MetS (B = - 0.831, P = 0.049), waist circumference (B = - 4.211, P = 0.015), systolic BP (B = - 5.572, P = 0.015), diastolic BP (B = - 2.931, P = 0.044), triglycerides (B = - 0.229, P = 0.034), glucose (B = - 0.325, P = 0.032), insulin (B = - 5.114, P = 0.001), and HOMA-IR (B = - 0.673, P = 0.001) at 9-years. Reallocations of time to MVPA at 4- or 9-years were not associated with CVD risk factors at 9-years. CONCLUSIONS VPA was associated with CVD risk factors in children both cross-sectionally (9-years) and longitudinally (at 4- and 9-years). MVPA seemed not to be a stimulus of enough intensity to trigger these potential cardiometabolic benefits in healthy children. Thus, these findings suggest the importance of higher intensity activities, i.e., VPA already in early childhood for cardiometabolic health.
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Affiliation(s)
- Christine Delisle Nyström
- Group MLÖ, Department of Biosciences and Nutrition, NEO, Karolinska Institutet, 141 83 Huddinge, Sweden
| | - Jairo H. Migueles
- Group MLÖ, Department of Biosciences and Nutrition, NEO, Karolinska Institutet, 141 83 Huddinge, Sweden
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Pontus Henriksson
- Department of Health, Medicine and Caring Sciences, Linköping University, 581 83 Linköping, Sweden
| | - Marie Löf
- Group MLÖ, Department of Biosciences and Nutrition, NEO, Karolinska Institutet, 141 83 Huddinge, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, 581 83 Linköping, Sweden
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31
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Silva DAS, Duncan MJ, Kuzik N, Tremblay MS. Associations between anxiety disorders and depression symptoms are related to 24-hour movement behaviors among Brazilian adolescents. J Affect Disord 2023; 339:280-292. [PMID: 37437739 DOI: 10.1016/j.jad.2023.07.004] [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: 03/23/2023] [Revised: 05/26/2023] [Accepted: 07/08/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND We tested whether 24-hour movement behaviors modified the effect of the association between anxiety and depression symptoms among adolescents. METHODS This cross-sectional study included 4141 adolescents aged 15 to 19 years (50.0 % females) across all Brazilian geographic regions. Using self-reported data, 4.4 % (n = 180) reported having been diagnosed with anxiety disorders. We used the Patient Health Questionnaire (PHQ-9) to evaluate depressive symptoms. Accruing moderate-vigorous physical activity during leisure time, <3 h/day of recreational screen, and good sleep quality were the exposures investigated. We evaluated interactions between anxiety and movement behaviors in the association with depression symptoms adjusted by covariates. RESULTS Adolescents diagnosed with anxiety who met two (B: -4.93; 95%CI: -6.43; -3.44) or three (B: -5.71; 95%CI: -7.85; -3.57) movement behavior targets, and adolescents without diagnosis of anxiety who met one (B: -6.97; 95%CI: -8.15; -5.79), two (B: -8.21; 95%CI: -9.38; -7.03), or three (B: -8.46; 95%CI: -9.66; -7.27) of the movement behavior targets had lower PHQ-9 scores for depression symptoms than adolescents with anxiety who did not meet any of the movement behaviors. There was a significant interaction (B: -1.89; 95%CI: -3.24; -0.55) between anxiety disorders status and meeting the movement behavior targets. LIMITATIONS The cross-sectional design is a limitation. CONCLUSIONS Variations in meeting movement behaviors modified the effect of the association between anxiety disorders status and depressive symptoms, with favourable modifications seen in adolescents without anxiety who met one, two or three of the movement behavior targets and in adolescents with anxiety who met two or three of the behaviors.
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Affiliation(s)
| | - Markus Joseph Duncan
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario K1H 8L1, Canada
| | - Nicholas Kuzik
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario K1H 8L1, Canada
| | - Mark S Tremblay
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario K1H 8L1, Canada; Department of Pediatrics, University of Ottawa, Ottawa, Ontario K1H 6N5, Canada
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Bellos I, Marinaki S, Lagiou P, Boletis IN, Stehouwer CDA, van Greevenbroek MMJ, Eussen SJPM, de Galan BE, Savelberg HHCM, Koster A, Wesselius A, Benetou V. Association of physical activity with endothelial dysfunction among adults with and without chronic kidney disease: The Maastricht Study. Atherosclerosis 2023; 383:117330. [PMID: 37837705 DOI: 10.1016/j.atherosclerosis.2023.117330] [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: 05/13/2023] [Revised: 09/10/2023] [Accepted: 10/03/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND AND AIMS Physical activity (PA) constitutes an established protective factor while sedentary behavior (SB) an emerging independent risk factor for cardiovascular diseases. This study evaluated the association of PA and SB with endothelial dysfunction (ED) depending on kidney function status. METHODS Cross-sectional data from the prospective, population-based Maastricht Study were used. PA and SB were measured using the ActivPAL3 accelerometer 24h/day for eight consecutive days. ED was evaluated by plasma levels of soluble vascular cell adhesion protein-1, intercellular adhesion molecule-1, E-selectin and von Willebrand factor, which were combined into an ED score with higher values depicting higher ED. RESULTS Overall, 2,668 participants, 323 with chronic kidney disease, were included. In normal kidney function individuals, the ED score presented a significant negative association with total, lower-intensity and moderate-to-vigorous PA duration and a positive association with total sedentary time, sedentary breaks and sedentary bout duration. In participants with chronic kidney disease, a significant negative association of ED score with total [β: -4.42, 95% confidence intervals (95% CI): -7.98; -0.87] and lower-intensity (β: -7.08, 95% CI: -13.41; -0.74) PA duration, as well as a positive association of ED score with sedentary bout duration (β: 43.72, 95% CI: 9.85; 77.59) were noted. The strength of associations did not significantly differ across kidney function subgroups (p > 0.05). CONCLUSIONS This analysis showed that PA duration is inversely associated with ED both among patients with normal kidney function and chronic kidney disease. In chronic kidney disease, longer sedentary bouts were associated with greater endothelial dysfunction.
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Affiliation(s)
- Ioannis Bellos
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Greece; Department of Nephrology and Renal Transplantation, Laiko General Hospital, National and Kapodistrian University of Athens, Greece.
| | - Smaragdi Marinaki
- Department of Nephrology and Renal Transplantation, Laiko General Hospital, National and Kapodistrian University of Athens, Greece
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Greece
| | - Ioannis N Boletis
- Department of Nephrology and Renal Transplantation, Laiko General Hospital, National and Kapodistrian University of Athens, Greece
| | - Coen D A Stehouwer
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, 6229ER, Netherlands; Department of Internal Medicine, Maastricht University Medical Center+, Maastricht, 6229HX, Netherlands
| | - Marleen M J van Greevenbroek
- Department of Human Biology and Movement Science, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, PO Box 616, 6200, MD, Maastricht, the Netherlands; CAPRHI Care and Public Health Research Institute, Maastricht University, Netherlands
| | - Simone J P M Eussen
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, 6229ER, Netherlands; CAPRHI Care and Public Health Research Institute, Maastricht University, Netherlands; Department of Epidemiology, Maastricht University, Maastricht, 6229ER, Netherlands
| | - Bastiaan E de Galan
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands; Department of Human Biology and Movement Science, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, PO Box 616, 6200, MD, Maastricht, the Netherlands; CAPRHI Care and Public Health Research Institute, Maastricht University, Netherlands
| | | | - Annemarie Koster
- CAPRHI Care and Public Health Research Institute, Maastricht University, Netherlands; Department of Social Medicine, Maastricht University, Netherlands
| | - Anke Wesselius
- Department of Epidemiology, Maastricht University, Maastricht, 6229ER, Netherlands; School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, 6229ER, Netherlands
| | - Vassiliki Benetou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Greece
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Jašková P, Palarea-Albaladejo J, Gába A, Dumuid D, Pedišić Ž, Pelclová J, Hron K. Compositional functional regression and isotemporal substitution analysis: Methods and application in time-use epidemiology. Stat Methods Med Res 2023; 32:2064-2080. [PMID: 37590096 PMCID: PMC10563378 DOI: 10.1177/09622802231192949] [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: 08/19/2023]
Abstract
The distribution of time that people spend in physical activity of various intensities has important health implications. Physical activity (commonly categorised by the intensity into light, moderate and vigorous physical activity), sedentary behaviour and sleep, should not be analysed separately, because they are parts of a time-use composition with a natural constraint of 24 h/day. To find out how are relative reallocations of time between physical activity of various intensities associated with health, herewith we describe compositional scalar-on-function regression and a newly developed compositional functional isotemporal substitution analysis. Physical activity intensity data can be considered as probability density functions, which better reflects the continuous character of their measurement using accelerometers. These probability density functions are characterised by specific properties, such as scale invariance and relative scale, and they are geometrically represented using Bayes spaces with the Hilbert space structure. This makes possible to process them using standard methods of functional data analysis in the L 2 space, via centred logratio (clr) transformation. The scalar-on-function regression with clr transformation of the explanatory probability density functions and compositional functional isotemporal substitution analysis were applied to a dataset from a cross-sectional study on adiposity conducted among school-aged children in the Czech Republic. Theoretical reallocations of time to physical activity of higher intensities were found to be associated with larger and more progressive expected decreases in adiposity. We obtained a detailed insight into the dose-response relationship between physical activity intensity and adiposity, which was enabled by using the compositional functional approach.
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Affiliation(s)
- Paulína Jašková
- Faculty of Science, Palacký University Olomouc, Olomoucký, Czech Republic
| | - Javier Palarea-Albaladejo
- Department of Computer Science, Applied Mathematics and Statistics, University of Girona, Catalunya, Spain
| | - Aleš Gába
- Faculty of Physical Culture, Palacký University Olomouc, Olomoucký, Czech Republic
| | - Dorothea Dumuid
- Alliance for Research in Exercice, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
- Centre for Adolescent Health, Murdoch Children’s Research Institute, Parkville, VC, Australia
| | - Željko Pedišić
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Jana Pelclová
- Faculty of Physical Culture, Palacký University Olomouc, Olomoucký, Czech Republic
| | - Karel Hron
- Faculty of Science, Palacký University Olomouc, Olomoucký, Czech Republic
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Cavallo FR, Toumazou C. Personalised lifestyle recommendations for type 2 diabetes: Design and simulation of a recommender system on UK Biobank Data. PLOS DIGITAL HEALTH 2023; 2:e0000333. [PMID: 37647301 PMCID: PMC10468058 DOI: 10.1371/journal.pdig.0000333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 07/18/2023] [Indexed: 09/01/2023]
Abstract
Mobile health applications, which employ wireless technology for healthcare, can aid behaviour change and subsequently improve health outcomes. Mobile health applications have been developed to increase physical activity, but are rarely grounded on behavioural theory and employ simple techniques for personalisation, which has been proven effective in promoting behaviour change. In this work, we propose a theoretically driven and personalised behavioural intervention delivered through an adaptive knowledge-based system. The behavioural system design is guided by the Behavioural Change Wheel and the Capability-Opportunity-Motivation behavioural model. The system exploits the ever-increasing availability of health data from wearable devices, point-of-care tests and consumer genetic tests to issue highly personalised physical activity and sedentary behaviour recommendations. To provide the personalised recommendations, the system firstly classifies the user into one of four diabetes clusters based on their cardiometabolic profile. Secondly, it recommends activity levels based on their genotype and past activity history, and finally, it presents the user with their current risk of developing cardiovascular disease. In addition, leptin, a hormone involved in metabolism, is included as a feedback biosignal to personalise the recommendations further. As a case study, we designed and demonstrated the system on people with type 2 diabetes, since it is a chronic condition often managed through lifestyle changes, such as physical activity increase and sedentary behaviour reduction. We trained and simulated the system using data from diabetic participants of the UK Biobank, a large-scale clinical database, and demonstrate that the system could help increase activity over time. These results warrant a real-life implementation of the system, which we aim to evaluate through human intervention.
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Affiliation(s)
- Francesca Romana Cavallo
- Centre for Bio-inspired Technology, Electrical and Electronic Engineering Department, Imperial College, London, United Kingdom
| | - Christofer Toumazou
- Centre for Bio-inspired Technology, Electrical and Electronic Engineering Department, Imperial College, London, United Kingdom
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Voinier D, Neogi T, Arbeeva L, Voinier S, Master H, Thoma LM, Brunette M, Jakiela JT, White DK. Association of physical activity with loss of knee joint space width over two years: a compositional data analysis in the Osteoarthritis Initiative. Osteoarthritis Cartilage 2023; 31:1091-1100. [PMID: 36822497 PMCID: PMC10523474 DOI: 10.1016/j.joca.2022.12.012] [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: 07/01/2022] [Revised: 11/18/2022] [Accepted: 12/15/2022] [Indexed: 02/25/2023]
Abstract
OBJECTIVE There is continued debate as to how engaging in physical activity (PA), including moderate-to-vigorous PA (MVPA), light PA (LPA), and sedentary time (SED), affects one's risk for knee osteoarthritis (OA). Traditional regression methods do not account for the codependence of these categories of PA, whereby when one category increases, the others must decrease. Thus, we used compositional data analysis (CoDA) to examine time spent in each category of PA, or PA composition, and its association with loss of knee joint space width (JSW), a common indicator of knee OA progression. METHODS We performed a secondary analysis of data from a subset of participants in the Osteoarthritis Initiative. These participants had minute-by-minute activity data collected over 7 days at baseline; we then categorized each minute as MVPA, LPA, or SED. Our exposure, PA composition, represented min/day spent in each category. Our outcome, medial JSW loss, was the difference in medial tibiofemoral JSW from baseline to 2 years later. We employed CoDA, using an isometric log-ratio transformation, to examine the association of PA composition with medial JSW loss over 2 years, adjusting for potential confounders. RESULTS We included 969 participants (age: 64.5 years, 56% female, body mass index [BMI]: 28.8 kg/m2). Mean PA composition was: MVPA 9.1 min/day, LPA 278 min/day, SED 690 min/day. Per adjusted regression models, higher MVPA was not associated with greater medial JSW loss (β = -0.0005, P = 0.97), nor was LPA (β = 0.06, P = 0.27) or SED (β = -0.06, P = 0.21). CONCLUSION Using CoDA, PA composition was not associated with medial JSW loss over 2 years.
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Affiliation(s)
- D Voinier
- Department of Physical Therapy, University of Delaware, Newark, DE, USA.
| | - T Neogi
- Department of Medicine, Section of Rheumatology, Boston University School of Medicine, Boston, MA, USA.
| | - L Arbeeva
- University of North Carolina at Chapel Hill, Thurston Arthritis Research Center, Chapel Hill, NC, USA.
| | - S Voinier
- Department of Mechanical Engineering, University of Delaware, Newark, DE, USA.
| | - H Master
- Vanderbilt University Medical Center, Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
| | - L M Thoma
- University of North Carolina at Chapel Hill, Division of Physical Therapy, Chapel Hill, NC, USA.
| | - M Brunette
- Evidation Health Inc, San Mateo, CA, USA.
| | - J T Jakiela
- Department of Physical Therapy, University of Delaware, Newark, DE, USA.
| | - D K White
- Department of Physical Therapy, University of Delaware, Newark, DE, USA.
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Salway R, Augustin NH, Armstrong MEG. Tortoise or Hare? The Associations between Physical Activity Volume and Intensity Distribution and the Risk of All-Cause Mortality: A Large Prospective Analysis of the UK Biobank. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6401. [PMID: 37510633 PMCID: PMC10378963 DOI: 10.3390/ijerph20146401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/23/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023]
Abstract
Analysis methods to determine the optimal combination of volume and intensity of objectively measured physical activity (PA) with prospective outcomes are limited. Participants in UK Biobank were recruited in the UK between 2006 and 2010. We linked the questionnaire and accelerometer with all-cause mortality data from the NHS Information Centre and NHS Central Register up to April 2021. We developed a novel method, extending the penalized spline model of Augustin et al. to a smooth additive Cox model for survival data, and estimated the prospective relationship between intensity distribution and all-cause mortality, adjusting for the overall volume of PA. We followed 84,166 men and women (aged 40-69) for an average of 6.4 years (range 5.3-7.9), with an observed mortality rate of 22.2 deaths per 1000. Survival rates differed by PA volume quartile, with poorer outcomes for the lowest PA volumes. Participants with more sedentary to light intensity PA (<100 milligravities (mg)) and/or less vigorous intensity PA (>250 mg) than average for a given volume of PA, had higher mortality rates than vice versa. Approximate hazard ratios were 0.83 (95% credible interval [CI]: 0.79, 0.88) for an average-risk profile compared to a high-risk profile and 0.80 (95% CI: 0.74, 0.87) for a low-risk profile compared to an average-risk profile. A high- versus low-risk profile has the equivalent of 15 min more slow walking, but 10 min less moderate walking. At low PA volumes, increasing overall volume suggests the most benefit in reducing all-cause mortality risk. However, at higher overall volumes, substituting lighter with more vigorous intensity activity suggests greater benefit.
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Affiliation(s)
- Ruth Salway
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol BS8 1TZ, UK
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Barbieri DF, Brusaca LA, Mathiassen SE, Oliveira AB, Srinivasan D. Do Sit-Stand Tables Affect Physical Behavior and Body Composition Similarly in Normal-Weight and Overweight Office Workers? A Pilot Study. IISE Trans Occup Ergon Hum Factors 2023; 11:81-93. [PMID: 37982162 DOI: 10.1080/24725838.2023.2281964] [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: 08/12/2023] [Accepted: 11/07/2023] [Indexed: 11/21/2023]
Abstract
OCCUPATIONAL APPLICATIONSSedentary behavior is a significant health concern among office workers. We completed the same 6-month sit-stand table intervention at work for groups of normal-weight and overweight workers, and compared it to not having sit-stand tables. The intervention caused the intended decrease in sitting time in both groups and a corresponding increase in standing. We did not find compensation effects on physical behavior outside of work. Furthermore, the intervention did not change the composition of fat, lean, and bone mass in either group. Thus, strategies including initiatives to increase physical activity are likely needed to have effects on body composition; and an intervention needs to be sustained for longer than six months for any changes in body composition to be observed.
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Affiliation(s)
- Dechristian França Barbieri
- Department of Industrial Engineering, Clemson University, Clemson, SC, USA
- Laboratory of Clinical and Occupational Kinesiology, Department of Physical Therapy, Federal University of São Carlos, São Carlos, Brazil
| | - Luiz Augusto Brusaca
- Laboratory of Clinical and Occupational Kinesiology, Department of Physical Therapy, Federal University of São Carlos, São Carlos, Brazil
| | - Svend Erik Mathiassen
- Department of Occupational Health Sciences and Psychology, Centre for Musculoskeletal Research, University of Gävle, Gävle, Sweden
| | - Ana Beatriz Oliveira
- Laboratory of Clinical and Occupational Kinesiology, Department of Physical Therapy, Federal University of São Carlos, São Carlos, Brazil
| | - Divya Srinivasan
- Department of Industrial Engineering, Clemson University, Clemson, SC, USA
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Segura-Jiménez V, Pedišić Ž, Gába A, Dumuid D, Olds T, Štefelová N, Hron K, Gómez-Martínez S, Marcos A, Castro-Piñero J. Longitudinal reallocations of time between 24-h movement behaviours and their associations with inflammation in children and adolescents: the UP&DOWN study. Int J Behav Nutr Phys Act 2023; 20:72. [PMID: 37322451 DOI: 10.1186/s12966-023-01471-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 05/27/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND While there is evidence that physical activity, sedentary behaviour (SB) and sleep may all be associated with modified levels of inflammatory markers in adolescents and children, associations with one movement behaviour have not always been adjusted for other movement behaviours, and few studies have considered all movement behaviours in the 24-hour day as an exposure. PURPOSE The aim of the study was to explore how longitudinal reallocations of time between moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), SB and sleep are associated with changes in inflammatory markers in children and adolescents. METHODS A total of 296 children/adolescents participated in a prospective cohort study with a 3-year follow-up. MVPA, LPA and SB were assessed by accelerometers. Sleep duration was assessed using the Health Behavior in School-aged Children questionnaire. Longitudinal compositional regression models were used to explore how reallocations of time between movement behaviours are associated with changes in inflammatory markers. RESULTS Reallocations of time from SB to sleep were associated with increases in C3 levels (difference for 60 min/d reallocation [d60] = 5.29 mg/dl; 95% confidence interval [CI] = 0.28, 10.29) and TNF-α (d60 = 1.81 mg/dl; 95% CI = 0.79, 15.41) levels. Reallocations from LPA to sleep were also associated with increases in C3 levels (d60 = 8.10 mg/dl; 95% CI = 0.79, 15.41). Reallocations from LPA to any of the remaining time-use components were associated with increases in C4 levels (d60 ranging from 2.54 to 3.63 mg/dl; p < 0.05), while any reallocation of time away from MVPA was associated with unfavourable changes in leptin (d60 ranging from 3088.44 to 3448.07 pg/ml; p < 0.05). CONCLUSIONS Reallocations of time between 24-h movement behaviours are prospectively associated with some inflammatory markers. Reallocating time away from LPA appears to be most consistently unfavourably associated with inflammatory markers. Given that higher levels of inflammation during childhood and adolescence are associated with an increased risk of chronic diseases in adulthood, children and adolescents should be encouraged to maintain or increase the level of LPA to preserve a healthy immune system.
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Affiliation(s)
- Víctor Segura-Jiménez
- UGC Medicina Física y Rehabilitación, Hospital de Neurotraumatología y Rehabilitación, Hospital Universitario Virgen de las Nieves, Granada, Spain.
- Instituto de Investigación Biosanitaria ibs.GRANADA, Avda. de Madrid, 15, Granada, 18012, Spain.
- GALENO research group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Av. República Saharaui, 12, Puerto Real, Cádiz, 11519, Spain.
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital, Cádiz, Spain.
| | - Željko Pedišić
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Aleš Gába
- Faculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, Adelaide, Australia
- Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, Australia
| | - Timothy Olds
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, Adelaide, Australia
| | - Nikola Štefelová
- Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacký University Olomouc, Olomouc, Czech Republic
- Czech Advanced Technology and Research Institute, Palacký University, Olomouc, Czech Republic
| | - Karel Hron
- Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacký University Olomouc, Olomouc, Czech Republic
| | - Sonia Gómez-Martínez
- Immunonutrition Group, Department of Metabolism and Nutrition, Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - Ascensión Marcos
- Immunonutrition Group, Department of Metabolism and Nutrition, Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - José Castro-Piñero
- GALENO research group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Av. República Saharaui, 12, Puerto Real, Cádiz, 11519, Spain.
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital, Cádiz, Spain.
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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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Heron L, Tully MA, Kee F, O'Neill C. Inpatient care utilisation and expenditure associated with objective physical activity: econometric analysis of the UK Biobank. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2023; 24:489-497. [PMID: 35750963 PMCID: PMC10175475 DOI: 10.1007/s10198-022-01487-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 05/31/2022] [Indexed: 05/12/2023]
Abstract
BACKGROUND Physical inactivity increases the risk of chronic disease and mortality. The high prevalence of physical inactivity in the UK is likely to increase financial pressure on the National Health Service. The UK Biobank Study offered an opportunity to assess the impact of physical inactivity on healthcare use and spending using individual-level data and objective measures of physical activity. The objective of this study was to assess the associations between objectively measured physical activity levels and future inpatient days and costs in adults in the UK Biobank study. METHODS We conducted an econometric analysis of the UK Biobank study, a large prospective cohort study. The participants (n = 86,066) were UK adults aged 43-79 who had provided sufficient valid accelerometer data. Hospital inpatient days and costs were discounted and standardised to mean monthly values per person to adjust for the variation in follow-up times. Econometric models adjusted for BMI, long-standing illness, and other sociodemographic factors. RESULTS Mean follow-up time for the sample was 28.11 (SD 7.65) months. Adults in the most active group experienced 0.037 fewer days per month (0.059-0.016) and 14.1% lower inpatient costs ( - £3.81 [ - £6.71 to - £0.91] monthly inpatient costs) compared to adults in the least active group. The relationship between physical activity and inpatient costs was stronger in women compared to men and amongst those in the lowest income group compared to others. The findings remained significant across various sensitivity analyses. CONCLUSIONS Increasing physical activity levels in the UK may reduce inpatient hospitalisations and costs, especially in women and lower-income groups.
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Affiliation(s)
- Leonie Heron
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, CH-3012, Bern, Switzerland.
- Centre for Public Health, Queen's University Belfast, Institute of Clinical Science, Block A, Royal Victoria Hospital, Belfast, BT12 6BA, UK.
| | - Mark A Tully
- School of Medicine, Ulster University, Londonderry, BT48 7JL, UK
| | - Frank Kee
- Centre for Public Health, Queen's University Belfast, Institute of Clinical Science, Block A, Royal Victoria Hospital, Belfast, BT12 6BA, UK
| | - Ciaran O'Neill
- Centre for Public Health, Queen's University Belfast, Institute of Clinical Science, Block A, Royal Victoria Hospital, Belfast, BT12 6BA, UK
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Asano Y, Nagata K, Shibuya K, Fujii Y, Kitano N, Okura T. Association of 24-h movement behaviors with phase angle in community-dwelling older adults: a compositional data analysis. Aging Clin Exp Res 2023:10.1007/s40520-023-02425-8. [PMID: 37247128 DOI: 10.1007/s40520-023-02425-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 04/24/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND Phase angle (PhA) is an indicator of cellular conditions. Recent studies have suggested that PhA supports healthy aging. Identifying modifiable lifestyle factors for PhA is important. The associations of PhA in 24-h movement behaviors, including physical activity (PA), sedentary behavior (SB), and sleep, have not been studied in older adults. OBJECTIVES We investigated the cross-sectional associations between 24-h movement behaviors and PhA in community-dwelling older adults while appropriately considering the co-dependent nature of daily time use using compositional data analysis. METHODS The participants were 113 healthy older adults. PhA was measured using a bioelectrical impedance device. Time spent in light-intensity PA (LPA), moderate- to vigorous-intensity PA (MVPA), and SB was measured using a tri-axial accelerometer. Sleep duration information was self-reported in a questionnaire. Compositional multiple linear regression and compositional isotemporal substitution were performed to examine the associations of 24-h movement behaviors with PhA and hypothetical time reallocation in movement behaviors with PhA, respectively. RESULTS Even after adjusting for potential confounders, relative to other behaviors more time spent in MVPA was significantly associated with higher PhA (p < 0.001). The 30 min/day of time reallocation from the other behaviors (SB, LPA, and sleep) to MVPA was predicted to be 0.12 higher PhA (corresponding to 2.3% increase; 95% CI 0.01, 0.24). CONCLUSIONS Our results suggest that increasing or maintaining the daily time spent in MVPA is important for managing PhA in older adults, regardless of the other behaviors time consumed instead.
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Affiliation(s)
- Yujiro Asano
- Doctoral Program in Physical Education, Health and Sport Science, Graduate School of Comprehensive Human Sciences, Degree Programs in Comprehensive Human SciencesUniversity of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8574, Japan
| | - Koki Nagata
- Doctoral Program in Public Health, Graduate School of Comprehensive Human Sciences, Degree Programs in Comprehensive Human Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8574, Japan
| | - Kyohei Shibuya
- R&D Center for Tailor-Made QOL, University of Tsukuba, 1-2 Kasuga, Tsukuba, Ibaraki, 305-8550, Japan
| | - Yuya Fujii
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, 150 Tobuki, Hachioji, Tokyo, 192-0001, Japan
| | - Naruki Kitano
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, 150 Tobuki, Hachioji, Tokyo, 192-0001, Japan.
| | - Tomohiro Okura
- R&D Center for Tailor-Made QOL, University of Tsukuba, 1-2 Kasuga, Tsukuba, Ibaraki, 305-8550, Japan
- Faculty of Health and Sport Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8574, Japan
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Zahran S, Janssen I. Compositional associations of time spent in sleep, screen time, and physical activity with polysubstance use in adolescents. Addict Behav 2023; 144:107755. [PMID: 37247594 DOI: 10.1016/j.addbeh.2023.107755] [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: 12/02/2022] [Revised: 03/05/2023] [Accepted: 05/16/2023] [Indexed: 05/31/2023]
Abstract
This study of grade 6-10 students used compositional analysis to examine the relationship between the movement behavior composition (time in sleep, screen time, and physical activity) and polysubstance use (frequency of using cigarettes, alternative tobacco products, alcohol, cannabis, and illicit drugs). In grades 6-8 students and grades 9-10 girls: 1) sleep was negatively associated with polysubstance use, 2) screen time was positively associated with polysubstance use, and 3) reallocating physical activity or screen time into sleep was associated with lower polysubstance use. In grades 9-10 boys, reallocating 60 min/day from physical activity into screen time or sleep was associated with greater polysubstance use.
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Affiliation(s)
- Samah Zahran
- School of Kinesiology and Health Studies, Queen's University, Kingston, Canada
| | - Ian Janssen
- School of Kinesiology and Health Studies, Queen's University, Kingston, Canada; Department of Public Health Sciences, Queen's University, Kingston, Canada.
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Dooley EE, Winkles JF, Colvin A, Kline CE, Badon SE, Diaz KM, Karvonen-Gutierrez CA, Kravitz HM, Sternfeld B, Thomas SJ, Hall MH, Gabriel KP. Method for Activity Sleep Harmonization (MASH): a novel method for harmonizing data from two wearable devices to estimate 24-h sleep-wake cycles. JOURNAL OF ACTIVITY, SEDENTARY AND SLEEP BEHAVIORS 2023; 2:8. [PMID: 37694170 PMCID: PMC10492590 DOI: 10.1186/s44167-023-00017-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/02/2023] [Indexed: 09/12/2023]
Abstract
Background Daily 24-h sleep-wake cycles have important implications for health, however researcher preferences in choice and location of wearable devices for behavior measurement can make 24-h cycles difficult to estimate. Further, missing data due to device malfunction, improper initialization, and/or the participant forgetting to wear one or both devices can complicate construction of daily behavioral compositions. The Method for Activity Sleep Harmonization (MASH) is a process that harmonizes data from two different devices using data from women who concurrently wore hip (waking) and wrist (sleep) devices for ≥ 4 days. Methods MASH was developed using data from 1285 older community-dwelling women (ages: 60-72 years) who concurrently wore a hip-worn ActiGraph GT3X + accelerometer (waking activity) and a wrist-worn Actiwatch 2 device (sleep) for ≥ 4 days (N = 10,123 days) at the same time. MASH is a two-tiered process using (1) scored sleep data (from Actiwatch) or (2) one-dimensional convolutional neural networks (1D CNN) to create predicted wake intervals, reconcile sleep and activity data disagreement, and create day-level night-day-night pairings. MASH chooses between two different 1D CNN models based on data availability (ActiGraph + Actiwatch or ActiGraph-only). MASH was evaluated using Receiver Operating Characteristic (ROC) and Precision-Recall curves and sleep-wake intervals are compared before (pre-harmonization) and after MASH application. Results MASH 1D CNNs had excellent performance (ActiGraph + Actiwatch ROC-AUC = 0.991 and ActiGraph-only ROC-AUC = 0.983). After exclusions (partial wear [n = 1285], missing sleep data proceeding activity data [n = 269], and < 60 min sleep [n = 9]), 8560 days were used to show the utility of MASH. Of the 8560 days, 46.0% had ≥ 1-min disagreement between the devices or used the 1D CNN for sleep estimates. The MASH waking intervals were corrected (median minutes [IQR]: -27.0 [-115.0, 8.0]) relative to their pre-harmonization estimates. Most correction (-18.0 [-93.0, 2.0] minutes) was due to reducing sedentary behavior. The other waking behaviors were reduced a median (IQR) of -1.0 (-4.0, 1.0) minutes. Conclusions Implementing MASH to harmonize concurrently worn hip and wrist devices can minimizes data loss and correct for disagreement between devices, ultimately improving accuracy of 24-h compositions necessary for time-use epidemiology.
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Affiliation(s)
- Erin E. Dooley
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - J. F. Winkles
- Epidemiology Data Center, The University of Pittsburgh, Pittsburgh, PA, USA
| | - Alicia Colvin
- Department of Epidemiology, The University of Pittsburgh, Pittsburgh, PA, USA
| | - Christopher E. Kline
- Department of Health and Human Development, The University of Pittsburgh, Pittsburgh, PA, USA
| | - Sylvia E. Badon
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Keith M. Diaz
- Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY, USA
| | | | - Howard M. Kravitz
- Department of Psychiatry and Behavioral Sciences and Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Barbara Sternfeld
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - S. Justin Thomas
- Department of Psychiatry and Behavioral Neurobiology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Martica H. Hall
- Department of Psychiatry, School of Medicine, The University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelley Pettee Gabriel
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA
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44
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Wu Y, Rosenberg DE, Greenwood-Hickman MA, McCurry SM, Proust-Lima C, Nelson JC, Crane PK, LaCroix AZ, Larson EB, Shaw PA. Analysis of the 24-h activity cycle: An illustration examining the association with cognitive function in the Adult Changes in Thought study. Front Psychol 2023; 14:1083344. [PMID: 37057157 PMCID: PMC10087899 DOI: 10.3389/fpsyg.2023.1083344] [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: 11/08/2022] [Accepted: 02/07/2023] [Indexed: 03/30/2023] Open
Abstract
The 24-h activity cycle (24HAC) is a new paradigm for studying activity behaviors in relation to health outcomes. This approach inherently captures the interrelatedness of the daily time spent in physical activity (PA), sedentary behavior (SB), and sleep. We describe three popular approaches for modeling outcome associations with the 24HAC exposure. We apply these approaches to assess an association with a cognitive outcome in a cohort of older adults, discuss statistical challenges, and provide guidance on interpretation and selecting an appropriate approach. We compare the use of the isotemporal substitution model (ISM), compositional data analysis (CoDA), and latent profile analysis (LPA) to analyze 24HAC. We illustrate each method by exploring cross-sectional associations with cognition in 1,034 older adults (Mean age = 77; Age range = 65-100; 55.8% female; 90% White) who were part of the Adult Changes in Thought (ACT) Activity Monitoring (ACT-AM) sub-study. PA and SB were assessed with thigh-worn activPAL accelerometers for 7-days. For each method, we fit a multivariable regression model to examine the cross-sectional association between the 24HAC and Cognitive Abilities Screening Instrument item response theory (CASI-IRT) score, adjusting for baseline characteristics. We highlight differences in assumptions and the scientific questions addressable by each approach. ISM is easiest to apply and interpret; however, the typical ISM assumes a linear association. CoDA uses an isometric log-ratio transformation to directly model the compositional exposure but can be more challenging to apply and interpret. LPA can serve as an exploratory analysis tool to classify individuals into groups with similar time-use patterns. Inference on associations of latent profiles with health outcomes need to account for the uncertainty of the LPA classifications, which is often ignored. Analyses using the three methods did not suggest that less time spent on SB and more in PA was associated with better cognitive function. The three standard analytical approaches for 24HAC each have advantages and limitations, and selection of the most appropriate method should be guided by the scientific questions of interest and applicability of each model's assumptions. Further research is needed into the health implications of the distinct 24HAC patterns identified in this cohort.
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Affiliation(s)
- Yinxiang Wu
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Dori E. Rosenberg
- Investigative Sciences Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
| | | | - Susan M. McCurry
- School of Nursing, University of Washington, Seattle, WA, United States
| | | | - Jennifer C. Nelson
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
| | - Paul K. Crane
- Department of Medicine, University of Washington, Seattle, WA, United States
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, CA, United States
| | - Eric B. Larson
- Department of Medicine, University of Washington, Seattle, WA, United States
| | - Pamela A. Shaw
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
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45
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Pulsford RM, Brocklebank L, Fenton SAM, Bakker E, Mielke GI, Tsai LT, Atkin AJ, Harvey DL, Blodgett JM, Ahmadi M, Wei L, Rowlands A, Doherty A, Rangul V, Koster A, Sherar LB, Holtermann A, Hamer M, Stamatakis E. The impact of selected methodological factors on data collection outcomes in observational studies of device-measured physical behaviour in adults: A systematic review. Int J Behav Nutr Phys Act 2023; 20:26. [PMID: 36890553 PMCID: PMC9993720 DOI: 10.1186/s12966-022-01388-9] [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: 08/09/2022] [Accepted: 11/25/2022] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND Accelerometer measures of physical behaviours (physical activity, sedentary behaviour and sleep) in observational studies offer detailed insight into associations with health and disease. Maximising recruitment and accelerometer wear, and minimising data loss remain key challenges. How varying methods used to collect accelerometer data influence data collection outcomes is poorly understood. We examined the influence of accelerometer placement and other methodological factors on participant recruitment, adherence and data loss in observational studies of adult physical behaviours. METHODS The review was in accordance with the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA). Observational studies of adults including accelerometer measurement of physical behaviours were identified using database (MEDLINE (Ovid), Embase, PsychINFO, Health Management Information Consortium, Web of Science, SPORTDiscus and Cumulative Index to Nursing & Allied Health Literature) and supplementary searches to May 2022. Information regarding study design, accelerometer data collection methods and outcomes were extracted for each accelerometer measurement (study wave). Random effects meta-analyses and narrative syntheses were used to examine associations of methodological factors with participant recruitment, adherence and data loss. RESULTS 123 accelerometer data collection waves were identified from 95 studies (92.5% from high-income countries). In-person distribution of accelerometers was associated with a greater proportion of invited participants consenting to wear an accelerometer (+ 30% [95% CI 18%, 42%] compared to postal distribution), and adhering to minimum wear criteria (+ 15% [4%, 25%]). The proportion of participants meeting minimum wear criteria was higher when accelerometers were worn at the wrist (+ 14% [ 5%, 23%]) compared to waist. Daily wear-time tended to be higher in studies using wrist-worn accelerometers compared to other wear locations. Reporting of information regarding data collection was inconsistent. CONCLUSION Methodological decisions including accelerometer wear-location and method of distribution may influence important data collection outcomes including recruitment and accelerometer wear-time. Consistent and comprehensive reporting of accelerometer data collection methods and outcomes is needed to support development of future studies and international consortia. Review supported by the British Heart Foundation (SP/F/20/150002) and registered (Prospero CRD42020213465).
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Affiliation(s)
- Richard M Pulsford
- Faculty of Health and Life Sciences, University of Exeter, St Lukes Campus. EX12LU, Exeter, UK
| | - Laura Brocklebank
- Department of Behavioural Science and Health, University College London, London, WC1E 7HB, UK
| | - Sally A M Fenton
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Esmée Bakker
- Radboud University Medical Centre, 6500 HB, Nijmegen, The Netherlands
| | - Gregore I Mielke
- School of Public Health, The University of Queensland, ST Lucia qld, Australia
| | - Li-Tang Tsai
- Center On Aging and Mobility, University Hospital Zurich, Zurich City Hospital - Waid and University of Zurich, Zurich , Switzerland.,Department of Aging Medicine and Aging Research, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Andrew J Atkin
- Norwich Epidemiology Centre, University of East Anglia, Norwich, UK.,School of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, NR47TJ, UK
| | - Danielle L Harvey
- School of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, NR47TJ, UK
| | - Joanna M Blodgett
- Institute of Sport Exercise and Health, Division of Surgery and Interventional Science, University College London, London, W1T 7HA, UK
| | - Matthew Ahmadi
- Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Le Wei
- Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Alex Rowlands
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4PW, UK.,NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK.,Alliance for Research in Exercise, Nutrition and Activity (ARENA), Division of Health Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, Australia
| | - Aiden Doherty
- Big Data Institute, Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Vegar Rangul
- Department of Public Health and Nursing, HUNT Research Centre, Norwegian University of Science and Technology, Levanger, Norway
| | - Annemarie Koster
- Department of Social Medicine, CAPHRI, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Lauren B Sherar
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, LE113TU, UK
| | - Andreas Holtermann
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Mark Hamer
- Institute of Sport Exercise and Health, Division of Surgery and Interventional Science, University College London, London, W1T 7HA, UK.
| | - Emmanuel Stamatakis
- Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
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46
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García-Hermoso A, Ezzatvar Y, Alonso-Martinez AM, Ramírez-Vélez R, Izquierdo M, López-Gil JF. Twenty-four-hour movement guidelines during adolescence and its association with obesity at adulthood: results from a nationally representative study. Eur J Pediatr 2023; 182:1009-1017. [PMID: 36542161 PMCID: PMC10023604 DOI: 10.1007/s00431-022-04760-w] [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: 04/20/2022] [Revised: 11/16/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022]
Abstract
To determine the association between adherence to the 24-h movement guidelines during adolescence with obesity at adulthood 14 years later in a nationally representative cohort. We analyzed data from 6984 individuals who participated in Waves I (1994-1995) and IV (2008-2009) of the National Longitudinal Study of Adolescent Health (Add Health) in the USA. Obesity was defined by the International Obesity Task Force cut-off points at Wave I and adult cut-points at Wave IV (body mass index [BMI]≥30 kg/m2 and waist circumference [WC]≥102 cm in male and 88 cm in female). Physical activity, screen time and sleep duration were self-reported. Adolescents who met screen time recommendation alone (β = -1.62 cm, 95%CI -2.68 cm to -0.56), jointly with physical activity (β = -2.25 cm, 95%CI -3.75 cm to -0.75 cm), and those who met all three recommendations (β = -1.92 cm, 95%CI -3.81 cm to -0.02 cm) obtained lower WC at Wave IV than those who did not meet any of these recommendations. Our results also show that meeting with screen time recommendations (IRR [incidence rate ratio] = 0.84, 95%CI 0.76 to 0.92) separately and jointly with physical activity recommendations (IRR = 0.86, 95%CI 0.67 to 0.97) during adolescence is associated with lower risk of abdominal obesity at adulthood. In addition, adolescents who met all 24-h movement recommendations had lower risk of abdominal obesity later in life (IRR = 0.76, 95%CI 0.60 to 0.97). CONCLUSION Promoting the adherence to the 24-h movement guidelines from adolescence, especially physical activity and screen time, seems to be related with lower risk of abdominal obesity later in life, but not for BMI. WHAT IS KNOWN • Some studies have shown a relationship between adherence to 24-h movement guidelines and adiposity or obesity markers in youth. However, most of these studies have a cross-sectional design or a short follow-up. WHAT IS NEW • This is the first study which determined the association between adherence to the 24-h movement guidelines during adolescence with obesity at adulthood 14 years later in a nationally representative US cohort. • Meeting the 24-h movement guidelines from adolescence seems to be related with lower risk of abdominal obesity later in life, but not for body mass index.
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Affiliation(s)
- Antonio García-Hermoso
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain.
| | - Yasmin Ezzatvar
- Department of Nursing, Universitat de València, Valencia, Spain
| | - Alicia M Alonso-Martinez
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
- Department of Health Sciences, Public University of Navarra, CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Pamplona, Navarra, Spain
| | - Robinson Ramírez-Vélez
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
- Department of Health Sciences, Public University of Navarra, CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Pamplona, Navarra, Spain
| | - Mikel Izquierdo
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
- Department of Health Sciences, Public University of Navarra, CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Pamplona, Navarra, Spain
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47
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Lim R, Dumuid D, Parfitt G, Stanford T, Post D, Bilton R, Kalisch Ellett LM, Pratt N, Roughead EE. Using wrist-worn accelerometers to identify the impact of medicines with anticholinergic or sedative properties on sedentary time: A 12-month prospective analysis. Maturitas 2023; 172:9-14. [PMID: 37054659 DOI: 10.1016/j.maturitas.2023.03.006] [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: 08/15/2022] [Revised: 03/06/2023] [Accepted: 03/19/2023] [Indexed: 04/03/2023]
Abstract
INTRODUCTION Studies have shown that use of medicines with sedative or anticholinergic properties is associated with a decline in physical function; however, the effects have not been quantified, and it is not known how and which specific physical movements are affected. This prospective study quantified the impact of a change in sedative or anticholinergic load over time on 24-hour activity composition. METHODS This study used data collected from a randomised trial assessing an ongoing pharmacist service in residential aged care. The 24-hour activity composition of sleep, sedentary behaviour, light-intensity physical activity, and moderate to vigorous physical activity was derived from 24-hour accelerometry bands. Mixed effect linear models were used to regress the multivariate outcome of 24-hour activity composition on medication load at baseline and at 12 months. A fixed effect interaction between trial stage and medication load was included to test for differing sedative or anticholinergic load effects at the two trial stages. RESULTS Data for 183 and 85 participants were available at baseline and 12 months respectively. There was a statistically significant interaction between medication load and time point on the multivariate outcome of 24-hour activity composition (sedative F = 7.2, p < 0.001 and anticholinergic F = 3.2, p = 0.02). A sedative load increase from 2 to 4 over the 12-month period was associated with an average increase in daily sedentary behaviour by an estimated 24 min. CONCLUSION As sedative or anticholinergic load increased, there was an increase in sedentary time. Our findings suggest wearable accelerometry bands are a possible tool for monitoring the effects on physical function of sedative and anticholinergic medicines. TRIAL REGISTRATION The ReMInDAR trial was registered on the Australian and New Zealand Trials Registry ACTRN12618000766213.
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Affiliation(s)
- Renly Lim
- Quality Use of Medicines and Pharmacy Research Centre, UniSA Clinical and Health Sciences, University of South Australia, Adelaide 5000, Australia.
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, UniSA Allied Health and Human Performance, University of South Australia, Adelaide 5000, Australia
| | - Gaynor Parfitt
- Alliance for Research in Exercise, Nutrition and Activity, UniSA Allied Health and Human Performance, University of South Australia, Adelaide 5000, Australia
| | - Tyson Stanford
- Alliance for Research in Exercise, Nutrition and Activity, UniSA Allied Health and Human Performance, University of South Australia, Adelaide 5000, Australia
| | - Dannielle Post
- Alliance for Research in Exercise, Nutrition and Activity, UniSA Allied Health and Human Performance, University of South Australia, Adelaide 5000, Australia
| | - Rebecca Bilton
- Quality Use of Medicines and Pharmacy Research Centre, UniSA Clinical and Health Sciences, University of South Australia, Adelaide 5000, Australia
| | - Lisa M Kalisch Ellett
- Quality Use of Medicines and Pharmacy Research Centre, UniSA Clinical and Health Sciences, University of South Australia, Adelaide 5000, Australia
| | - Nicole Pratt
- Quality Use of Medicines and Pharmacy Research Centre, UniSA Clinical and Health Sciences, University of South Australia, Adelaide 5000, Australia
| | - Elizabeth E Roughead
- Quality Use of Medicines and Pharmacy Research Centre, UniSA Clinical and Health Sciences, University of South Australia, Adelaide 5000, Australia
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48
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Sharma C, Ahuja KDK, Kulkarni B, Byrne NM, Hills AP. Life course research in physical activity: Pathway to Global Action Plan 2030. Obes Rev 2023; 24:e13554. [PMID: 36815214 DOI: 10.1111/obr.13554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 11/13/2022] [Accepted: 01/13/2023] [Indexed: 02/24/2023]
Abstract
Current global trends in physical activity levels demonstrate that the world is not on track to achieve the 2030 target set by the Global Action Plan. The Action Plan posited that physical activity should be an integral component of "daily lives" of all individuals "across the life course." Potential contributions to achieve global physical activity goals include the utilization of compositional data analysis and life course epidemiology to provide a framework for the composite nature of physical activity and complex life course relationships. Combining these two traditionally disconnected fields represents a paradigm shift in physical activity research. Here, we discuss how these combined fields enable a reinterpretation of previous research findings and explore their impact on policy and potential advantages and challenges. Careful consideration needs to be given to the implications of both fields remaining disconnected and the alternate option of consolidation to realize ambitions.
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Affiliation(s)
- Chitra Sharma
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Kiran D K Ahuja
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Bharati Kulkarni
- Division of Reproductive Biology Maternal and Child Health and Nutrition, Indian Council of Medical Research, Ansari Nagar, New Delhi, India
| | - Nuala M Byrne
- Division of Reproductive Biology Maternal and Child Health and Nutrition, Indian Council of Medical Research, Ansari Nagar, New Delhi, India
| | - Andrew P Hills
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Tasmania, Australia
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49
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Brayton RP, Price AM, Jones C, Ellis C, Burkhart S, Knell G. Prospective evaluation of 24-hour movement behaviors among adolescents recovering from a sport-related concussion. APPLIED NEUROPSYCHOLOGY. CHILD 2023:1-9. [PMID: 36809228 DOI: 10.1080/21622965.2023.2181082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
This study aimed to describe the 24-hour composition of movement behaviors, including sleep, sedentary behavior, and physical activity (PA), among pediatric sports-related concussion (SRC) patients over their recovery period, assess the association between movement compositions and recovery time, and understand feasibility of 24-hour accelerometry in the study population. A cohort of 50 pediatric SRC patients were asked to wear a wrist-worn accelerometer continuously for the duration of their recovery. Among all enrolled participants, the sample was primarily 14 or 15 years of age (65%), female (55%), and recovered in under 28 days (88%). Accelerometer compliance was moderate; 35 participants (70%) were compliant with the protocol. Compositional analysis was used to address time-use objectives in 33 participants who provided adequate data for inclusion. Overall, participants spent an average of 50% of their 24-hour day sedentary, 33% sleeping, 11% in light intensity PA, and 6% in moderate or vigorous intensity PA. The 24-hour composition of movement behaviors was not associated with recovery time (p = .09-.99). However, the limited sample size may have contributed to null findings. Given recent evidence supporting the effects of sedentary behavior and PA on concussion recovery, future studies should aim to further validate these findings in a larger sample.
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Affiliation(s)
- Riley P Brayton
- Research Staff, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Dallas, Texas, USA
| | - August M Price
- Concussion Program Director, Sports Neuropsychology, Bellapianta Orthopaedics and Sports Medicine, Montclair, New Jersey, USA
| | - Carrie Jones
- Certified Athletic Trainer, Sport Neuropsychology, Children's Health Andrews Institute for Orthopedics and Sports Medicine, Plano, Texas, USA
| | - Christine Ellis
- Pediatric Nurse Practitioner, Sport Neuropsychology, Children's Health Andrews Institute for Orthopedics and Sports Medicine, Plano, Texas, USA
| | - Scott Burkhart
- Senior Program Director, Sport Neuropsychology, Children's Health Andrews Institute for Orthopedics and Sports Medicine, Plano, TX, USA
| | - Gregory Knell
- Assistant Professor, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Dallas, Texas, USA
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50
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Migueles JH, Delisle Nyström C, Dumuid D, Leppänen MH, Henriksson P, Löf M. Longitudinal associations of movement behaviours with body composition and physical fitness from 4 to 9 years of age: structural equation and mediation analysis with compositional data. Int J Behav Nutr Phys Act 2023; 20:11. [PMID: 36750838 PMCID: PMC9903529 DOI: 10.1186/s12966-023-01417-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 01/27/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND The associations of movement behaviours (physical activity [PA], sedentary behaviour [SB], and sleep) with body composition and physical fitness from pre-school to childhood, as well as the direction of the associations, could provide important information for healthy lifestyle promotion in children. This study investigated the longitudinal and bidirectional associations of movement behaviours with body composition and physical fitness measured at 4 and 9 years of age. METHODS This longitudinal study included baseline (n = 315, 4.5 [SD = 0.1] years) and follow-up data (n = 231, 9.6 [SD = 0.1] years) from the MINISTOP study. Movement behaviours were measured for 7 days using wrist-worn accelerometers, body composition with air-displacement plethysmography, and physical fitness with the ALPHA health-related fitness test battery. Cross-lagged panel models and mediation analyses were performed in combination with compositional data analysis. RESULTS We did not observe direct associations of the movement behaviours at 4 years with either body composition or physical fitness at 9 years (all P > 0.05). However, fat mass index at 4 years was negatively associated with vigorous PA (VPA), relative to remaining behaviours (VPA, β = - 0.22, P = 0.002) and light PA (LPA), relative to SB and sleep (β = - 0.19, P = 0.016) at 9 years. VPA (relative to remaining), moderate PA (MPA) (relative to LPA, SB, and sleep), and SB (relative to sleep) tracked from 4 to 9 years (all β ≥ 0.17, all P < 0.002), and these behaviours shared variance with fat mass index (all|β| ≥ 0.19, all P < 0.019), and aerobic, motor, and muscular fitness (all|β| ≥ 0.19, all P < 0.014) at 9 years. Mediation analysis suggested that the tracking of VPA (relative to remaining behaviours) from 4 to 9 years was negatively associated with fat mass index (β ≥ - 0.45, P = 0.012), and positively with aerobic fitness at 9 years (β ≥ 1.64, P = 0.016). CONCLUSION PA and SB tracked from the pre-school years into childhood. Fat mass index at 4 years of age was negatively associated with VPA (relative to remaining behaviours) and LPA (relative to SB and sleep) at 9 years of age. The tracking of VPA was associated with lower fat mass index and higher aerobic fitness at 9 years of age. These findings suggest that higher levels of VPA in pre-school age, if maintained throughout childhood, may support the development of healthy body composition and aerobic fitness levels in later childhood.
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Affiliation(s)
- Jairo H. Migueles
- grid.4714.60000 0004 1937 0626Department of Biosciences and Nutrition, Karolinska Institutet, 141 52 Huddinge, Sweden ,grid.4489.10000000121678994PROFITH “PROmoting FITness and Health through physical activity” research group, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Christine Delisle Nyström
- grid.4714.60000 0004 1937 0626Department of Biosciences and Nutrition, Karolinska Institutet, 141 52 Huddinge, Sweden
| | - Dorothea Dumuid
- grid.1026.50000 0000 8994 5086Alliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, Adelaide, SA Australia ,grid.1026.50000 0000 8994 5086University of South Australia, Adelaide, SA Australia
| | - Marja H. Leppänen
- grid.9681.60000 0001 1013 7965Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland ,grid.428673.c0000 0004 0409 6302Folkhälsan Research Center, Helsinki, Finland
| | - Pontus Henriksson
- grid.5640.70000 0001 2162 9922Department of Health, Medicine and Caring Sciences, Linköping University, 581 83 Linköping, Sweden
| | - Marie Löf
- grid.4714.60000 0004 1937 0626Department of Biosciences and Nutrition, Karolinska Institutet, 141 52 Huddinge, Sweden ,grid.5640.70000 0001 2162 9922Department of Health, Medicine and Caring Sciences, Linköping University, 581 83 Linköping, Sweden
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