The “Goldilocks Day” for Children's Skeletal Health: Compositional Data Analysis of 24-Hour Activity Behaviors

Dumuid, Dorothea; Simm, Peter; Wake, Melissa; Burgner, David; Juonala, Markus; Wu, Feitong; Magnussen, Costan G.; Olds, Tim

doi:10.1002/jbmr.4143

Cited by 21 publications

(18 citation statements)

References 58 publications

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“…Результати досліджень Dorothea Dumuid et al показали, що ідеальний баланс діяльності дитини віком 11-13 років протягом 24 год для максимального здоров'я та розвитку включає: 1,5 год помірних та енергійних фізичних навантажень (спорт, біг); 3,4 год легких фізичних навантажень (ходьба, виконання домашніх справ); 8,2 год сидячого часу (навчання, читання); 10,9 год сну [6]. Також зауважено, що сон важливіший для здоров'я та формування кісткового скелета хлопчиків, ніж для дівчаток, тому хлопчикам потрібно додатково 2,4 год сну на день.…”

Section: результати й обговоренняunclassified

Нове У Дослідженні Розладів Сну

Mazur¹

2021

BMBR

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Резюме. Сон, як і харчування та фізична активність, є найважливішим фактором, що визначає стан здоров'я та добробуту. Мета дослідження – проаналізувати останні літературні джерела щодо розладів сну. Матеріали і методи. У повідомленні проаналізовано доступні літературні джерела з проблематики розладів сну в мережі «Internet». Результати. Результати останніх досліджень свідчать про те, що дорослі з найкращим режимом сну мали нижчий ризик серцевої недостатності. Генетична мутація змінює (подовжує) хронометраж біологічних годин, викликаючи загальний синдром порушення сну, який називається порушенням повільної фази – стадії глибокого сну. Генетичні варіації, що змінюють годинникові білки, можуть змінити час годинника та спричинити порушення фази сну. Ідеальний баланс діяльності дитини віком 11–13 років протягом 24 год для максимального здоров’я та розвитку включає: 1,5 год помірних та енергійних фізичних навантажень; 3,4 год легких фізичних навантажень; 8,2 год сидячого часу; 10,9 год сну. Дослідження Das et al. показало, що COVID-19 спричиняв збільшення тривалості сну. Висновки. Дослідження розладів сну є актуальним завданням медичних працівників різних спеціальностей, оскільки порушення сну спостерігається у 30– 45 % дорослого населення, для половини з них інсомнія є значущою клінічною проблемою.

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Section: результати й обговоренняunclassified

Нове У Дослідженні Розладів Сну

Mazur¹

2021

BMBR

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“…More recently, given that compositions of behaviors may have differential benefits on various health outcomes, a novel use of compositional data analysis is to explore 'optimal' daily combinations of behaviors for different measures [49,50]. Studies in older children that have used this approach have found variations in best 24-h movement behavior compositions for physical, skeletal, mental, and cognitive health [51][52][53]. Therefore, the purpose of the present study was to determine if movement behaviors were associated with measures of cognitive and social-emotional health in early childhood.…”

Section: Introductionmentioning

confidence: 99%

Associations of activity, sedentary, and sleep behaviors with cognitive and social-emotional health in early childhood

Laurent

Rasmussen

Holmes

et al. 2023

JASSB

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Background Early childhood is important for cognitive and social-emotional development, and a time in which to promote healthy movement behaviors (sedentary behavior, physical activity, and sleep). Movement behaviors may have interactive influences on cognition and social-emotional factors in young children, but most previous research has explored them independently. The purpose of this study was to determine if movement behaviors are associated with measures of cognitive and social-emotional health in young children and if so, to describe optimal compositions of movement behaviors of a daily cycle for such outcomes. Methods Children (n = 388, 33 to 70 months, 44.6% female) from a clinical trial (ClinicalTrials.gov ID: NCT03285880, first posted September 18, 2017) wore accelerometers on their wrists for 24-h for 9.56 ± 3.3 days. Movement behavior compositions consisted of time spent in sedentary behaviors, light intensity physical activity, moderate to vigorous intensity physical activity (MVPA), and sleep. Outcomes were cognitive (receptive vocabulary, declarative and procedural memory, and executive attention) and social-emotional measures (temperament and behavioral problems). Compositional linear regression models with isometric log ratios were used to investigate the relations between the movement behavior composition and the cognitive and social-emotional health measures. If a significant association was found between the composition and an outcome, we further explored the “optimal” 24-h time-use for said outcome. Results Movement behavior compositions were associated with receptive vocabulary. The composition associated with the predicted top five percent of vocabulary scores consisted of 12.1 h of sleep, 4.7 h of sedentary time, 5.6 h of light physical activity, and 1.7 h of MVPA. Conclusions While behavior compositions are related to vocabulary ability in early childhood, our findings align with the inconclusiveness of the current evidence regarding other developmental outcomes. Future research exploring activities within these four movement behaviors, that are meaningful to cognitive and social-emotional development, may be warranted.

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“…One such approach is compositional data analysis, which allows co-dependent time-use estimates of 24-hour movement behaviours to be analysed as movement behaviour compositions in relation to health outcomes (13). In youth, crosssectional and longitudinal associations have been reported between 24-hour movement behaviour compositional time-use and adiposity (14), tness (14), skeletal health (15), cognitive function (16), mental health (16), and psychosocial outcomes (17). Moreover, it was recently shown that the optimal time-use compositions for favourable physical health and mental health outcomes had relatively higher moderate-to-vigorous physical activity (MVPA) and sleep (and relatively less ST), respectively (18).…”

Section: Introductionmentioning

confidence: 99%

Characteristics of 24-hour movement behaviours and their associations with mental health in children and adolescents

Fairclough

Clifford

Brown

et al. 2023

Preprint

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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 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’s aims were 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. An analytical sample of 301 children and adolescents 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, sleep quality, 24-hour activity rhythmicity, and directly measured acceleration. Linear mixed models and compositional data analysis with adjustment for covariates were used to analyse the data in alignment with the study aims. Results. Children were significantly more physically active, less sedentary, slept longer (p = .02-.01), and had lower sleep efficiency than adolescents (p = .001). Boys were significantly more active than girls (p < .001) who in turn accrued more time in sleep (p = .02). Children and boys had significantly higher most active 10-hours, mesor and, amplitude values (p = .01-<.001), while timing of acrophase 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-.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.

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The “Goldilocks Day” for Children's Skeletal Health: Compositional Data Analysis of 24-Hour Activity Behaviors

Cited by 21 publications

References 58 publications

Нове У Дослідженні Розладів Сну

Нове У Дослідженні Розладів Сну

Associations of activity, sedentary, and sleep behaviors with cognitive and social-emotional health in early childhood

Characteristics of 24-hour movement behaviours and their associations with mental health in children and adolescents

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