Physical Activity and Sedentary Behavior From 6 to 11 Years

Schwarzfischer, Phillipp; Gruszfeld, Dariusz; Stolarczyk, Anna; Ferré, Natàlia; Escribano, Joaquín; Rousseaux, Déborah; Moretti, Melissa; Mariani, Benedetta; Verduci, Elvira; Koletzko, Berthold; Grote, Veit

doi:10.1542/peds.2018-0994

Cited by 69 publications

(48 citation statements)

References 43 publications

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“…In the present study, we have not found decreasing in MVPA with time signi cantly. This is different from the previous study, which found that MVPA decreasing with age in children and adolescent [25][26][27].Maybe, this is the reason for overweight/obesity increasing after a 12-month follow-up. Nevertheless, two large-scale questionnaire investigation studies have shown that the proportion of students met the MVPA guideline from 29.9% in 2016 to 34% in 2017 in China [8,9].…”

Section: Discussioncontrasting

confidence: 98%

“…Our results manifested that boys were more physically active than girls, this has been identi ed by previous studies [28,29]. Meanwhile, children were more active than adolescents which consistent with many studies that MVPA was decreasing with age [27,30]. In the current study, this phenomenon can be explained partially by the attitude toward PA that children have a more positive attitude than adolescents, and attitude to PA was a mean contributor for the MVPA level.…”

Section: Discussionsupporting

confidence: 91%

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Determinants of student’s MVPA level in school and neighborhood environment changing with age: a 12-month follow-up study in Ningxia province

Huang¹,

Shi²,

Wang³

et al. 2020

Preprint

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Background The benefits of physical activity have been identified in children and adolescents. However, the prevalence of physical inactivity in school-aged children and adolescents was high in China. Most time of students spends in neighborhood and school, and these play an important role in student’s MVPA level. Therefore, we will investigate the impact of implementing the national health promotion policy on PA behavior in school-aged children and adolescents and the effects that influence the changes in PA behavior in this study. Methods This is a longitudinal study with a 12-month follow-up. The study sample came from 2016 and 2017 Physical Activity and Fitness in China—The Youth Study, total 1611 students (aged 7–18 years) from 31 primary, junior high, and high schools were included in this study. The physical and social environment in school and neighborhood were measured by questionnaire at baseline and after 12 months. Multiple logistic regression was used to examine the relationship of influential factors and moderate- and vigorous MVPA. Results There is no significant difference in MVPA level between 2016 and 2017. Student’s attitudes to PA, neighborhood facilities, and organizations were improved significantly after 12 months. The influential factors changed after 12 months. In 2016 the top three contributors were attitude to MVPA(OR 3.08 with 95% CL 1.22, 7.76), neighborhood PA facilities(OR 1.52, 95% CL 1.24, 1.86) and age(OR 1.38, 95% CL 1.13, 1.69), and in 2017 the top three factors were student’s attitude to PA(OR 4.28, 95%CL 1.788,10.245), school extra time for PA(OR 2.29, 95% CL 1.56, 3.36) and the frequency of sports events in neighborhood(OR 1.84, 95% CL 1.34, 2.53). Conclusions The single health policy is not effective for student’s MVPA promotion. There may be some factors mediate the relationship between neighborhood environment and MVPA level with age and grade increasing. In the future, more studies are needed to explore the change of influential factors and mediators with age. The findings of this study may provide some evidence for future policy-making.

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Section: Discussioncontrasting

confidence: 98%

Section: Discussionsupporting

confidence: 91%

Determinants of student’s MVPA level in school and neighborhood environment changing with age: a 12-month follow-up study in Ningxia province

Huang¹,

Shi²,

Wang³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Based on the review inclusion criteria and data availability, 521 studies were further excluded. Thus, 52 studies met the inclusion criteria and were included in the quantitative analysis representing a total sample of 22,091 children and adolescents (Figure ; PRISMA flow diagram). A subset of 31 studies with exactly 1 year of follow‐up data were included in the meta‐analysis.…”

Section: Resultsmentioning

confidence: 99%

Longitudinal changes in moderate‐to‐vigorous‐intensity physical activity in children and adolescents: A systematic review and meta‐analysis

et al. 2019

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Moderate-to-vigorous-intensity physical activity (MVPA) is important for childhood obesity prevention and treatment, yet declines with age. Timing and magnitude of the decline in MVPA in children and adolescents are unclear but important for informing effective obesity intervention development. This systematic review aimed to determine and compare the year-to-year changes in MVPA among children and adolescents. Longitudinal studies were identified by searching 10 relevant databases up to December 2018. Studies were eligible for inclusion if they reported accelerometer-assessed MVPA (min day −1 ) separately for boys and girls and had follow-up duration of at least 1 year. After screening 9,232 studies, 52 were included representing 22,091 aged 3 to 18 year olds (boys=8,857;girls=13,234). Pooled-analysis of the relative change in MVPA per year showed a decline of −3.4% (95% CI, −5.9 to −0.9) in boys and −5.3% (95% CI, −7.6 to −3.1) in girls, across all age groups. There were notable declines in MVPA at age 9 for both boys (−7.8%, 95% CI, −11.2 to −4.4) and girls (−10.2%, 95% CI, −14.2 to −6.3). The relative decline in MVPA affects both sexes from an early age; however, it is greater among girls. Interventions to promote MVPA should start before adolescence.

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“…When participants reported each EMA prompt, their response time (in 24 h), day of the week (weekends/weekdays), and the time difference (in minutes) between mothers' and child's EMA prompt for the same scheduled window were calculated. These basic demographic and temporal factors were included in the analysis as covariates based on their potential impact on daily physical activity and sedentary behavior patterns [30,[33][34][35]. Children also reported their social context using a multiple selection question during each EMA prompt ("Who were you with just before the phone went off?").…”

Section: Demographics Social and Temporal Factorsmentioning

confidence: 99%

Mother-child dyadic influences of affect on everyday movement behaviors: evidence from an ecological momentary assessment study

Yang

Huh

Mason

et al. 2020

Int J Behav Nutr Phys Act

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Background: Research has shown that affect is associated with everyday movement behaviors in children and adults. However, limited work to date has investigated dyadic influences of momentary affect on moderate-tovigorous physical activity (MVPA) and sedentary time among children and their mothers using ecological momentary assessment (EMA). Methods: Mothers and their children (eight to 12-years-old at baseline) from the Los Angeles metropolitan area participated in a longitudinal study with six semi-annual measurement waves across three years. During each measurement wave, mothers and children reported momentary negative and positive affect via a custom smartphonebased EMA application across seven days (randomly sampled up to eight times per day). Each dyad member's momentary affective states were used to predict their own and the other dyad member's accelerometer-measured MVPA and sedentary time in the prompt-matched 45-min time window. Multilevel modeling within the actor-partner interdependence model (APIM) framework was applied to accommodate the nested dyadic nature of the data. Results: At the within-subject level, when children had higher-than-usual positive affect, they engaged in greater MVPA and less sedentary time in the prompt-matched 45-min window (actor effects; ps < .001). When mothers experienced higher-than-usual positive affect, they engaged in more sedentary time in the same 45-min window (actor effect; p < .001). Children's higher-than-usual positive affect also predicted more MVPA time of their mothers (partner effect; p < .05). At the between-subjects level, for mothers who reported higher average negative affect than other mothers, their children overall had less MVPA and more sedentary time (partner effects ps < .05). Conclusions: This study extends the literature by demonstrating that mothers' and children's everyday physical activity and sedentary time are not only associated with their own affective states, but also may be influenced by the affective states of each other. Our findings suggest that affective states have the potential to influence movement behaviors in mother-child dyads' everyday lives. Affective underpinnings of physical activity and sedentary behaviors should be further studied in order to develop family-based intervention strategies to influence these behaviors.

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Physical Activity and Sedentary Behavior From 6 to 11 Years

Cited by 69 publications

References 43 publications

Determinants of student’s MVPA level in school and neighborhood environment changing with age: a 12-month follow-up study in Ningxia province

Determinants of student’s MVPA level in school and neighborhood environment changing with age: a 12-month follow-up study in Ningxia province

Longitudinal changes in moderate‐to‐vigorous‐intensity physical activity in children and adolescents: A systematic review and meta‐analysis

Mother-child dyadic influences of affect on everyday movement behaviors: evidence from an ecological momentary assessment study

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