Skip to main content
Obesity Facts logoLink to Obesity Facts
. 2020 Dec 22;14(1):32–44. doi: 10.1159/000511263

Physical Activity, Screen Time, and Sleep Duration of Children Aged 6–9 Years in 25 Countries: An Analysis within the WHO European Childhood Obesity Surveillance Initiative (COSI) 2015–2017

Stephen Whiting a,b,*, Marta Buoncristiano a, Peter Gelius c, Karim Abu-Omar c, Mary Pattison a, Jolanda Hyska d, Vesselka Duleva e, Sanja Musić Milanović f, Hana Zamrazilová g, Tatjana Hejgaard h, Mette Rasmussen i, Eha Nurk j, Lela Shengelia k, Cecily C Kelleher l, Mirjam M Heinen l, Angela Spinelli m, Paola Nardone m, Akbota Abildina n, Shynar Abdrakhmanova n, Gulmira Aitmurzaeva o, Zhamyila Usuopva o, Iveta Pudule p, Aušra Petrauskiene q, Victoria Farrugia Sant'Angelo r, Enisa Kujundzic s, Stevo Popovic t, Anne-Siri Fismen u, Ingunn Holden Bergh v, Anna Fijalkowska w, Ana Isabel Rito x, Alexandra Cucu y, Lacramioara Aurelia Brinduse z, Valentina Peterkova A, Andrea Gualtieri B, Marta García-Solano C, Enrique Gutiérrez-González C, Zulfinissio Abdurrahmonova D, Khadichamo Boymatova E, Nazan Yardim F, Maya Tanrygulyyeva G, Daniel Weghuber H, Karin Schindler I, Dragana Stojisavljević J, Aida Filipović Hadžiomeragić, K, Eliza Markidou Ionnaidu L, Wolfgang Ahrens M, Maria Hassapidou N, Viktoria Anna Kovacs O, Sergej M Ostojic P, Lubica Ticha Q, Gregor Starc R, Kenisha Russell Jonsson S, Igor Spiroski T, Harry Rutter U, Romeu Mendes a,b, Julianne Williams a, Ivo Rakovac a, João Breda a
PMCID: PMC7983588  PMID: 33352575

Abstract

Background

Children are becoming less physically active as opportunities for safe active play, recreational activities, and active transport decrease. At the same time, sedentary screen-based activities both during school and leisure time are increasing.

Objectives

This study aimed to evaluate physical activity (PA), screen time, and sleep duration of girls and boys aged 6–9 years in Europe using data from the WHO European Childhood Obesity Surveillance Initiative (COSI).

Method

The fourth COSI data collection round was conducted in 2015–2017, using a standardized protocol that included a family form completed by parents with specific questions about their children's PA, screen time, and sleep duration.

Results

Nationally representative data from 25 countries was included and information on the PA behaviour, screen time, and sleep duration of 150,651 children was analysed. Pooled analysis showed that: 79.4% were actively playing for >1 h each day, 53.9% were not members of a sport or dancing club, 50.0% walked or cycled to school each day, 60.2% engaged in screen time for <2 h/day, and 84.9% slept for 9–11 h/night. Country-specific analyses of these behaviours showed pronounced differences, with national prevalences in the range of 61.7–98.3% actively playing for >1 h/day, 8.2–85.6% were not members of a sport or dancing club, 17.7–94.0% walked or cycled to school each day, 32.3–80.0% engaged in screen time for <2 h/day, and 50.0–95.8% slept for 9–11 h/night.

Conclusions

The prevalence of engagement in PA and the achievement of healthy screen time and sleep duration are heterogenous across the region. Policymakers and other stakeholders, including school administrators and parents, should increase opportunities for young people to participate in daily PA as well as explore solutions to address excessive screen time and short sleep duration to improve the overall physical and mental health and well-being of children.

Keywords: Physical inactivity; Surveillance; Sedentary behaviour; Active transport, active play

Background

During childhood, adequate levels of physical activity (PA) are fundamental for the development of basic cognitive, motor, and social skills, as well as musculoskeletal, cardiovascular, and metabolic health [1]. PA is an important determinant in the prevention and treatment of childhood obesity and early metabolic risk factors [2, 3]. Childhood obesity is associated with many serious health problems [4, 5] including psychosocial consequences [6, 7, 8, 9] and it increases the risk for noncommunicable diseases (NCDs) later in life [10]. PA levels during childhood also tend to track into adolescence and adulthood [10, 11], so establishing healthy PA behaviours during childhood can reap dividends in later life [12].

The World Health Organisation (WHO), through the Global Action Plan for Physical Activity 2018–2030 [13] and the Physical Activity Strategy for the WHO European Region 2016–2025 [14], provides guidance and support for countries to promote regular PA as a preventative measure to help reduce a wide variety of health risk factors across all ages, genders, ethnicities, and socioeconomic subgroups. Current WHO recommendations for children and adolescents aged 5–17 years are to accumulate at least 60 min of moderate/vigorous-intensity PA (MVPA) per day to maintain good physical and mental health and well-being [1]. Active play (unstructured, outdoor physical activity in children's free time), active transport (cycling or walking) and participating in sports are the major contributors to total PA among children.

It is important that, as children grow and develop, in addition to high levels of PA, they also achieve low levels of sedentary behaviour (SB) and get enough sleep each day. Time spent using screen-based devices increases SB which has been linked with a higher intake of energy-dense snacks and drinks and fast foods, and an overall higher energy intake [15]. Short sleep duration has also been linked with the development of obesity [16] and high blood pressure in children [17] as well as with overall well-being [18]. In recent years and based on evidence of the importance of SB and sleep to health, several countries have shifted to providing integrated guidance for movement behaviours across the whole day (i.e., a 24-h period) including recommendations for PA, screen time, and sleep duration [19, 20, 21].

The COSI (Childhood Obesity Surveillance Initiative) system is unique as it involves taking standardised weight and height measurements of children, providing nationally representative data for participating countries and a large region-wide dataset for analysing the determinants of childhood overweight and obesity. It includes a questionnaire that measures the PA, screen time, and sleep duration of children, a voluntary element for the participating countries, which is completed by a child's family member (usually a parent). Comparable data on PA-related behaviours among children in Europe is limited as countries use a range of approaches, including parent/caregiver report measures (e.g., questionnaires) and objective measures (e.g., accelerometers). While there are weaknesses to using parent/caregiver report questionnaires, one of their strengths is the collection of a wide range of sociodemographic and health-related behaviours of study participants by means of a single tool from large nationally representative samples. Objective measures of PA have thus far not been integrated with the COSI system due to the costs involved for the participating countries as well as the added complication to the implementation of a survey where the primary outcome is nationally representative data on childhood overweight and obesity; information on PA, screen time, and sleep are just 3 of many secondary outcomes.

This study aimed to describe overall and cross-national comparisons of PA, screen time, and sleep duration of girls and boys aged 6–9 years using data collected as part of the COSI study in 2015–2017 in 25 countries of the WHO European Region. An analysis of this unique dataset provides new insights and includes many countries where there is currently limited data on these behaviours.

Methods

The fourth COSI (COSI round 4) data collection was conducted in 36 countries in the school years 2015/2016 and 2016/2017 (2017/2018 for Kyrgyzstan). Information on children's PA, screen time, and sleep duration was collected via a paper questionnaire (i.e., the COSI family form) that was completed by a parent or caregiver [22]. Use of the family form is an optional part of the study and, of the 36 countries that participated, 24 included it in their national protocol which provided the data used in this study. One additional country, Estonia, did not use the family form but collected data by asking the children directly. The Estonian data is thus presented here but was not included in the pooled estimates.

Study Design and Sampling

The data collection followed a standard protocol developed in 2007 by the WHO Regional Office for Europe, together with its member states, which was then slightly amended for the COSI rounds 2, 3, and 4 [23, 24, 25, 26]. The COSI data collections have followed the International Ethics Guidelines for Biomedical Research Involving Human Subjects [27] and national ethics committees approved all national study protocols.

According to the COSI protocol, countries could choose ≥1 of the following age groups: 6.0–6.9, 7.0–7.9, 8.0–8.9, and 9.0–9.9 years. Most of the countries targeted only the 7-year-olds, or also ≥1 other age group. In almost all countries, the participating children were enrolled in primary school and were then randomly selected to create a nationally representative sample. More details on the main characteristics of the study design in each country are provided in the online supplementary Table 1 (for all online suppl. material, see www.karger.com/doi/10.1159/000511263) and elsewhere [28].

Data Elaboration

Information from the COSI family form included the following 5 behaviours: transportation to and from school, membership of a sport or dancing club and time spent practising these, time spent actively playing, time spent watching TV or using electronic devices, and the number of hours of sleep per night.

Table 1 shows the questions of interest and their predefined answer options for each of the categorical variables included in the analysis. In some cases, answer options were collapsed into broader categories to facilitate comparisons between countries. The WHO Regional Office for Europe collected data from all countries using a common format and carried out a data-cleaning process to detect and correct inaccurate information (e.g., incoherent and/or out-of-range values, outliers, etc.) using the same procedures for all countries. After this process, the country datasets were merged together for the purpose of running inter-country analyses.

Table 1.

PA, screen time, and sleep duration data collected by means of the 4th COSI family form (COSI/WHO Europe round 4 2015–2017)

Questions Answer options Categorization of responses
Transportation to and from schoola
How does your child usually get to and from school?
Please tick one option that he or she uses the most
Walking or cycling;
Motorized vehicles;
A combination of walking/cycling and motorised vehicles
Walking or cycling;
Motorized vehicles;
A combination of walking/cycling and motorized vehicles

Time spent practising sportsb
Is your child a member of one or more sports clubs or dancing courses (e.g., football, soccer, running, hockey, swimming, tennis, basketball, gymnastics, ballet, fitness, ballroom dancing)?
Over a typical week (including weekends), how many hours does your child spend on sports and physical activities with these sport clubs or dancing courses?
Yes/No (if yes, continue to the next question) None;
1 h/week; 2 h/week;
3 h/week; 4 h/week;
5 h/week, 6 h/week;
7 h/week; 8 h/week, 9 h/week;
10 h/week; 11 h/week or more
No membership at sport/dancing clubs;
1–3 h a week spent on sports;
4 or more hours a week spent on sports

Time spent on actively/vigorously playingc
In his/her free time, about how many hours per day is your child usually playing actively/vigorously (e.g., running and jumping outside, or moving and fitness games inside)?
Please tick one box for weekdays and one box for weekend
Weekdays/Weekend;
Not at all;
Less than 1 h/day;
About 1 h/day;
About 2/day;
About 3 or more hours/day
Not at all or less than 1 h/day;
1–2 h/day;
More than 2 h/dayd

Time spent watching TV or using electronic devicese
Outside school lessons, how much time does your child usually spend watching TV or using electronic devices such as a computer, tablet, or smartphone (not including moving or fitness games), either at home or outside the home (e.g., at an Internet cafe, game centre, etc.)? Please tick one for the weekdays and one for the weekend
Weekdays/Weekend;
Not at all;
− Number of hours/day
Not at all or less than 1 h/day;
About 1 h/day;
About 2 h/day;
About 3 h/day or moref

Hours of sleep per nightg
At what time does your child usually go to bed on school days (weekdays)? At what time does your child usually wake up on school days (weekdays)?
hour/minute;
hour/minute
At least 9 h per night;
At least 10 h per night;
At least 11 h per night

COSI, Childhood Obesity Surveillance Initiative.

a

Data on transportation to and from school was not available for Italy and San Marino.

b

For France, Ireland, Italy, and San Marino, information about children's membership at sports/dancing clubs was available, but there was no data on time spent practising sports in these clubs.

c

Data on time spent playing actively/vigorously were not collected in Estonia and France. In Italy and San Marino, only the information about children never playing or playing for < 1 h/day was available.

d

Numerical values are assigned to the items “playing actively/vigorously on a weekday” and “playing actively/vigorously on a weekend day,” enabling the conversion of this item to a numerical scale (“never” = 0; < 1 h/day = 0.5; about 1 h/day = 1; about 2 h/day = 2; about ≥3/day = 3). Usual play time per day is calculated weighing weekday (5/7) and weekend hours (2/7) accordingly.

e

Data on time spent watching TV or using electronic devices was not available for Estonia and Ireland.

f

Number of hours per day is calculated weighing weekday (5/7) and weekend hours (2/7) accordingly.

g

Data on hours of sleep per night was not available for Estonia and France.

Statistical Analysis

The percentage distribution of children by each variable of interest was estimated for boys and girls separately and collectively. To determine differences in distributions by a child's sex, we employed the two-tailed Pearson χ2 test corrected with the Rao-Scott method. A p value of 0.05 was used to define statistical significance. Data analysis was conducted at the country level and by pooling data from all countries. Pooled estimates were calculated and included one target age group per country. This was done to balance the contribution of each country to the pooled estimates, while limiting the differences in age groups included between countries. For the pooled analysis, the 7-year-old age group was used if the country targeted this age group. Otherwise, the nearest target age group was included.

Pooled estimates on PA, screen time, and sleep duration were then calculated. Data from all countries that strictly followed the COSI protocol was included in the pooled estimates, except for the data obtained in Moscow as this was not representative of the whole country.

Post-stratification weights to adjust for sampling design, over­sampling, and non-response were available for all countries that applied a sampling approach; Lithuania was excluded. These weights were used in all analyses to infer the results from the sample to the population. For Lithuania, an unweighted analysis was carried out. In the pooled analysis, an adjusting factor was applied to the post-stratification weights to take into consideration differences between country population sizes. The adjusting factor was calculated based on the number of children belonging to the targeted age group according to Eurostat figures or official national statistics for 2016. All analyses took account of the complex nature of the survey (i.e., multiple stages, cluster, and stratification).

All statistical analyses were performed using the software package STATA v15.1 (StataCorp. 2017. Stata Statistical Software: Release 15. College Station, TX, USA).

Results

Table 2 shows that 150,651 children were eligible for inclusion in the analysis out of >198,000 invited to participate from the 25 countries. The number of children included varied between countries, from <1,000 in Denmark, Ireland, and San Marino to >10,000 in Estonia, Italy, Spain, and Turkey. These substantial differences between countries were due to differences in the number of age groups that each country targeted, the characteristics of the national school system, and a country's willingness to produce estimates at sub-national levels. There were also considerable differences between countries in the proportion of children whose parents completed the questionnaires. Turkmenistan, Italy, Tajikistan, and San Marino had the highest family participation rate (approx. 95%), while Denmark and Ireland had the lowest (30 and 32%, respectively).

Table 2.

The number of children invited to participate in COSI/WHO Europe round 4 2015/2017, the proportions whose parents completed the family forms, the number of children included in the final analysis, and their demographic characteristics by country

Countrya Children invited to participateb
Children included in the analysisc
Distribution of children by sex and aged, %
Total, n family form completed, % boys, n girls, n total, n boys 6 years 7 years 8 years 9 years
ALB 7,113 36.2 1,315 1,212 2,527 52.5 0.1 24.2 52.0 23.7
BUL 4,090 83.1 1,702 1,698 3,400 51.5 0.0 100 0.0 0.0
CROe 7,220 76.0 1,318 1,333 2,651 51.1 0.0 0.0 100 0.0
CZH n.a. n.a. 670 736 1,406 50.7 49.5 50.5 0.0 0.0
DEN 3,202 29.9 511 446 957 52.7 27.4 70.2 2.4 0.0
EST 14,038 91.9 6,598 6,246 12,844 51.4 0.2 48.9 49.8 1.1
FRA 7,094 75.6 2,649 2,669 5,318 50.0 5.5 36.6 43.7 14.1
GEO 4,143 78.4 1,667 1,579 3,246 51.2 1.6 85.1 13 0.3
IRE 2,704 32.4 438 436 874 52.6 38.2 60.2 1.6 0.0
ITA 50,902 95.2 22,425 21,271 43,696 51.5 0.0 0.6 66.3 33.1
KAZ 6,026 82.3 2,149 2,162 4,311 50.6 0.0 0.4 51 48.6
KGZ 8,773 86.6 3,798 3,769 7,567 50.7 10.5 43.5 39.5 6.5
LTU 5,527 69.8 1,930 1,882 3,812 50.6 0.4 66.4 33 0.2
LVA 8,143 71.5 2,752 2,955 5,707 48.2 7.9 43.8 9.1 39.3
MAT 4,329 73.4 1,589 1,590 3,179 50.0 0.1 69.7 30.1 0.1
MNE 4,094 66.8 1,441 1,295 2,736 52.8 31.2 48.4 20.1 0.2
POL 3,828 76.9 1,451 1,494 2,945 50.2 0.0 0.0 100.0 0.0
POR 7,475 85.6 3,167 3,224 6,391 50.7 25.2 49.0 24.0 1.7
ROM 9,094 73.6 3,312 3,298 6,610 49.1 0.4 28.4 47.5 23.8
RUS 3,900 52.6 1,006 1,046 2,052 50.2 18.8 72.8 8.3 0.1
SMR 329 93.6 138 168 306 45.1 0.0 0.0 64.7 35.3
SPA 14,908 70.1 5,290 5,163 10,453 50.9 25.4 25.2 24.9 24.6
TJK 3,502 93.5 1,623 1,647 3,270 51.6 7.7 90.8 1.4 0.2
TKM 4,085 95.3 1,944 1,947 3,891 49.9 0.0 79.9 20.1 0.0
TUR 14,164 81.7 5,335 5,167 10,502 50.9 11.4 82.3 6.0 0.3

Total 198,683 79.5 76,218 74,433 150,651 51,3 0.0 45.7 48.6 5.7

n.a., not available.

a

Figures refer to primary school children from: Albania (ALB); Bulgaria (BUL); Croatia (CRO); Czechia (CZH); Denmark (DEN); France (FRA) Georgia (GEO); Italy (ITA); Kazakhstan (KAZ); Kyrgyzstan (KGZ); Lithuania (LTU); Latvia (LVA); Malta (MAT); Montenegro (MNE); Poland (POL); Portugal (POR); Romania (ROM); Moscow city (RUS); San Marino (SMR); Spain (SPA); Tajikistan (TJK); Turkmenistan (TKM) and Turkey (TUR).

b

Total figures were calculated including only countries with available information about the number of children invited to participate in the surveillance. The Estonian percentage refers to the proportion of child's form filled in, as the family form was not used in the 4th round of COSI and questions about PA patterns were put to children directly, not to parents/caregivers.

c

All children with complete information on sex, aged 6–9 years, and with information about physical activity, sedentary behaviour, and sleep duration from the family form.

d

Pooled values were estimated including the following age groups/countries: 7-year-olds from Bulgaria, Czechia, Denmark, Estonia, Kyrgyzstan, Georgia, Ireland, Latvia, Lithuania, Malta, Montenegro, Portugal, Spain, Tajikistan, Turkey, and Turkmenistan; 8-year-olds from Albania, Croatia, Italy, France, Poland, Romania, and San Marino; and 9-year-olds from Kazakhstan. The figures were estimated by applying post-stratification weights.

e

For Croatia, only data on 8-year-olds was available for comparison at the European level. The proportion of children whose parents or caregivers filled in the family form was calculated in the whole sample (i.e., not only for 8-year-olds).

Active Play

On average, around 4 in 5 children spent at least 1 h/day in active play. This figure varied between countries. While almost all children in Montenegro and Czechia spent at least 1 h/day actively playing, the corresponding figure was <2 out of 3 in Malta and Tajikistan (Fig. 1). In 5 countries, at least 60% spent >2 h/day in active play, namely, Czechia, Kyrgyzstan, Lithuania, Montenegro, and Romania. At the other end of the scale, lower proportions were registered in Denmark, Kazakhstan, Malta, Poland, Spain, and Tajikistan, (approx. ≤25%). Pooled and country-specific distributions of children by time dedicated to active play are presented in online supplementary Table 1.

Fig. 1.

Fig. 1

Pooled and country-specific estimates (along with their 95% confidence intervals) of the percentage of children actively playing for at least 1 h/day (COSI/WHO Europe round 4 2015–17).

Sport Participation

On average, 53.9% children were not a member of a sport or dancing club, and 30.2% spent 1–3 h and 15.9% spent ≥4 h per week practising sports. At the country level, these figures varied greatly. In Denmark, Latvia, Italy, and San Marino, at least 80% of children were members of a sport or dancing club whereas in Kyrgyzstan, Tajikistan, Turkmenistan, and Turkey, most were not (>80%) (Fig. 2). These latter countries also recorded the lowest proportions of children practising sports for ≥4/week (<10%) whereas Latvia showed the highest value (41.1%), followed by the Moscow area (36.1%), and Croatia (33.4%). More than 4 in 10 children practised 1–3 h/week in 6 countries, namely, Denmark, Estonia, Spain, Czechia, Malta, and Poland; all other countries showed lower proportions. Pooled and country-specific distributions of children by the time they dedicated to practising sports or dancing are presented in online Supplementary Table 2.

Fig. 2.

Fig. 2

Pooled and country-specific estimates (along with their 95% confidence intervals) of the percentage of children who were not members of sports/dancing clubs or did not do sports or dance at all (COSI/WHO Europe round 4 2015–17).

Active Transport

On average, 1 in 2 children used active means/transport, i.e., they walked or cycled, to get to and from school (50.0%), and 1 in 10 used a combination of active transport and motorised vehicles. However, there were substantial differences between countries. The proportion of children using active transport ranged from most of the children in Tajikistan (94.0%) to only around 20% in Portugal, Malta, and Ireland (Fig. 3); in these 3 countries, most children (>70%) travelled to school by motorised vehicle, but in Tajikistan, very few did (approx. 3%). In the other central Asian countries, the proportion of children travelling by active transport to school was also high (80.5% in Turkmenistan, 71.5% in Kyrgyzstan, and 70.9% in Kazakhstan). In Croatia, Estonia, and Montenegro, around 1 in 4 children travelled to school by a combination of active transport and motorised vehicles. Pooled and country-specific distributions of children by transportation to and from school are presented in online supplementary Table 3.

Fig. 3.

Fig. 3

Pooled and country-specific estimates (along with their 95% confidence intervals) of the percentage of children who used active transport (walking or cycling) to get to and from school (COSI/WHO Europe round 4 2015–17).

Screen Time

On average, 60.2% of children were reported to be engaged in screen time for <2 h, 25.2% for 2–3 h, and 14.6% for ≥3 h per day, respectively. These figures varied greatly between countries. The proportion less engaged in screen time (i.e, for <2 h/day) ranged from 32.3% in Italy to 80.0% in Spain (Fig. 4). Between around one-quarter (26.5%) and more than half (58.9%) of children had approximately 1 h/day of screen time and between 16.8 and 41.6% of children spent around 2 h/day at a screen. Pooled and country-specific distributions of children by screen time are presented in online supplementary Table 4.

Fig. 4.

Fig. 4

Pooled and country-specific estimates (along with their 95% confidence intervals) of the percentage of children with <2 h of screen time per day (COSI/WHO Europe round 4 2015–17).

Sleep Duration

On average, 84.9% of children slept for 9–11 h/night, with heterogeneity among countries. The lowest proportion was recorded in Ireland where half of children met the recommended number of hours of sleep per night whilst the other half slept >11 h (Fig. 5). In Portugal and Spain, >95% of children slept for 9–11 h. On average, around 5% of children slept for <9 h, with country-specific values ranging from virtually none in Denmark and Ireland to >15% in Bulgaria, Kazakhstan, Kyrgyzstan, and Tajikistan. Pooled and country-specific distributions of children by sleep duration are presented in online supplementary Table 5.

Fig. 5.

Fig. 5

Pooled and country-specific estimates (along with their 95% confidence intervals) of the percentage of children who slept for 9–11 h per night(COSI/WHO Europe round 4 2015–17).

Differences by Sex

Girls compared to boys were slightly less engaged in active play in 10 countries, with >5 percentage points of difference recorded between girls and boys in San Marino, Spain, and Turkey. In most of the countries, girls were less engaged in practising sports than boys. On average, a higher proportion of girls were not members of a sport or dancing club than boys (56.3 vs. 51.8%), and a lower proportion (11.8 %) spent ≥4/week practising compared to boys (19.7%). Pooled estimates and country-specific data showed no major differences in the proportions of girls and boys walking or cycling to school. In most countries, a higher proportion of boys than girls watched TV or used electronic devices for >3 h/day. Pooled estimates did not show a statistically significant difference in sleep duration between boys and girls.

Discussion

This study describes the prevalence of PA behaviours, screen time, and sleep duration among children aged 6–9 years from 25 countries in the WHO European Region. Comparable, nationally representative data showed pronounced differences in prevalence estimates for the various behaviours between the countries included. According to an ecological model [29], the differences observed could arise from a multitude of factors, including the policy, social, built and cultural environment, setting-specific characteristics, or differences in the natural environment.

Our results show that most children across the region engaged in active play for at least 60 min/day. There were variations across the countries included, which has been noted previously [30]. While active play is likely to be predominantly made up of light-intensity PA, for children in this age range active play can contribute substantially to total PA levels while reducing SB [31]. It is likely that opportunities for children to engage in active play depend on the physical environment, such as access to local parks and a recreational infrastructure [32]. The variation between the countries included in our study may also be influenced by differences in the relationship between the length of the day (the number of hours of daylight) and the weather conditions with PA levels, shown to differ between settings [33]. Different cultural values toward active play and SB may explain some variations, both between countries and for boys versus girls; it may influence determinants for PA and SB, such as parental support [34]. The lower levels of active play among girls compared to boys in certain countries could also be explained by differing socioecological influences at the levels of the family, school, and environment [35]. The effect of the social environment on PA for boys and girls in playgrounds, for example, has also been shown to contribute to these gender differences in relation to active play [36].

Depending on the national context, sports organisations may function as an essential facilitator for PA and sport participation among children. Across the region, we found that around half of both boys and girls were members of a sport or dancing club; this was lower than the prevalence of sport participation found in similar studies [30, 37]. However, the COSI questionnaire asks specifically about membership of a sports or dancing club rather than participation, and this could explain why the prevalence we recorded was lower than in other studies that also captured informal sports participation (especially in Eastern Europe and Central Asia where formal grassroot sports organisations are less common). The proportion of girls participating in sport for ≥4 h/week was generally around half that of boys; this may be due to a lack of a variety of activities to better suit the preferences of girls [38].

Active transport to school can produce important health benefits [39]. There was substantial variation between countries in the prevalence of children actively travelling to school, which aligns with previous findings [30]. In the countries of Central Asia, where active transport may be a necessity, it was shown that >3 out of 4 children walked or cycled to school; in Portugal and Malta, where travelling to school by car may be more of a cultural norm, this proportion was <1 out of 5. This has also been noted previously [30]. Other factors influencing whether children walk, cycle, use public transport, or are driven to school by car are: the length of the school day and timetable, the availability of safe walking or cycling paths, access to free public transport, the location of elementary schools within communities, road safety, and weather conditions [32].

It is recommended that children in this age group spend <2 h/day engaging in recreational screen to avoid negative health outcomes [19, 20, 21]. Across the region, we found that more than half the children met this recommendation, which was much higher than recorded by previous studies that used self-reporting [40] and objective methods [41] to estimate screen time. It has been noted previously that parents underestimate screen time compared to children's self-reports [42], as they may be unaware of how much their children are using screen-based devices throughout the entire day. As with the other behaviours measured in our study, the differences between countries may have been due to variations in social/cultural and physical environments which are important in determining SB among children [43]. Across the region, longer screen time per day was more prevalent among boys than girls, in line with previous findings [44].

Sleep plays a vital role in health. It is recommended that children aged 6–9 years sleep for 9–11 h/night [19, 20, 21], and short sleep duration can be detrimental to physical and mental health and well-being [45]. We found that, across the region, most children achieved the recommended 9–11 h of sleep, a much higher proportion than found in other studies that used objective measurements to estimate sleep duration [40]. There were substantial differences between countries, which aligns with previous findings where children in more northerly countries generally slept the longest, likely due to different cultural and environmental characteristics [46]. For some of the countries that did not meet the recommendations, short sleep duration was not the issue; rather, the lower prevalence was due to the higher proportion of children recorded as sleeping for >11 h/night.

A key strength of this study is the use of systematic, nationally representative data collected via the COSI system. In many of the countries included, these are the first-ever national estimates available of PA behaviours, screen time, and sleep duration of school-aged children. Another strength is the large sample size which increases confidence in the findings and limits the impact of outliers. There are, however, some limitations which must be mentioned. Due to the way the variables were operationalised, we were unable to calculate total PA according to WHO recommendations by combining active transport, active play, and sport participation. There may also be substantial discrepancies between the results of parent/caregiver reporting and other methods of measuring PA, screen time, and sleep, meaning that all results should be viewed with caution. Reporting of PA and SB might also have been vulnerable to differences in the terminology used across countries to describe these behaviours [47, 48]; the social desirability and attitudes related to higher PA levels and SB among children may also have varied across countries and influenced the responses. Finally, there is potential for selection bias, with the families that allowed their children to participate and were willing to complete the family form not necessarily representing those that did not give their consent.

Conclusion

An analysis of the results of the WHO COSI 2015–2017 study provides a unique overview of the PA behaviours, screen time, and sleep duration of children aged 6–9 years in the WHO European Region. The heterogeneity in the prevalence between countries shows that there are opportunities for national policymakers to learn from experiences across the region and adopt what seems to be working. These results can help countries to prioritise actions to address specific PA behaviours that may be more effective in increasing overall PA levels and reducing SB. Local action is needed to address the lack of engagement in PA and the overuse of screen-based devices as well as to ensure the benefits of enough sleep. Further development of national procedures for monitoring these and other risk factors for NCDs are needed. Evaluations of existing prevention and management strategies targeting young people could be utilised to design and implement more effective interventions.

Statement of Ethics

The WHO COSI study protocol was approved by international ethics guidelines for biomedical research involving human subjects, and all procedures were also approved by local ethics committees in each country. Furthermore, the children's parents or guardians gave their written informed consent.

Ethics approval was provided by the following countries: Albania (Scientific Committee of Institute of Public Health, decision No. 953, 13/07/2015), Bulgaria (Commission of Medical Ethics at the National Center of Public Health and Analyses, Sofia, Bulgaria, Project identification code − 060 − MΠ 325 −68 COSI, 25.02.2016), Croatia (Ethics Committee of the Croatian Institute for Public Health, registry No. 80–2660/1–15, 25.9.2015), Czechia (Ethics Committee of the Institute of Endocrinology, Prague, Czech Republic, AZV MZČR 17–31670 A, 20/06/2016), Denmark (Research and Innovation Organization, SDU, 10.829, 27/06/2016), Estonia (Tallinn Medical Research Ethics Committee, TMEK decision No. 1376, 28/03/2016), Georgia (Bioethics Council at National Center for Disease Control and Public Health of Georgia, project identification code: 2019–52, 4 November, 2019), Ireland (University College Dublin Human Research Ethics Committee − Sciences, Project identification code: LS-15–43-Heinen-Kelleher, date of approval: 26 August 2015), Italy (National Institute of Health, Prot. PRE − 739/15, 10 November 2015), Kazakhstan (Scientific and technical program “Development and implementation of modern technologies for healthy lifestyle promotion and prevention of diseases based on the study of non-medical determinants of health among children,” 2015), Kyrgyzstan (The Ethics Committee on compliance of research to ethical norms for medical research, project identification code: No. 1/1, Date of approval: 22 February 2018), Latvia (Central Medical Ethics Committee, project identification code: 01–29.1/6, date of approval: 25.09.2015), Lithuania (Lithuanian Bioethics Committee (Lietuvos bioetikos komitetas); project identification code: 08–02–19; 19 February, 2008. After the approval we received renewal of a bioethics authorization in 2010 (on 2010–01–04), 2013 (on 2013–01–09) and 2019 (on 2019–03–12), Montenegro (Ethics Committee of the Institute of Public Health of Montenegro Project identification code: WHO 2016/627456–0, date of approval: 28th April 20), Poland (Bioethics Committee of the Institute of Mother and Child, Warsaw, Poland, project identification No. 22/2015, date of approval: 26 November 2015), Portugal (National Commission of Data Protection; Aut n°5418/2016 for all rounds of COSI Portugal, 7 June 2016), Romania (Intern Ethics Committee of the National Institute of Public Health, Romania, project identification code: WHO 2016/650301–0, date of approval: 6 April 2016), Russian Federation (National Institute of Health., Prot. PRE − 739/15, November 2015 National Institute of Health, Prot. PRE − 739/15, November 2015), Tajikistan (Ministry of Health and Social Protection of Tajikistan, project identification code: #858, date of approval: 18 November 2016), Turkey (Kecioren Training and Research Hospital, Clinical Researches Ethics Committee; approval date: 26.10.2016, project identification code: Health System Strengthening and Support Project, LN: 8531-TR, date of approval 2015: L.2.12. Obesity Fighting Project, subcomponent 1.1, L.2.11). In Turkmenistan, ethics approval was granted from the Ministry of Healthcare and Medical Industry (MOHMI). Malta did not go through an ethics committee as all the work involved in COSI data collection and analysis is part and parcel of the existing School Health Service, which is an ongoing process. Data for COSI in Spain was collected as part of the ALADINO Spanish study, which did not ask for an ethics committee approval, since this is not mandatory in Spain. However, the principal investigators confirm that the study was conducted in accordance with the Declaration of Helsinki and all parents/guardians of subjects participating in the 4 rounds gave their informed consent for inclusion before they participated in the study.

Conflict of Interest Statement

The authors declare no conflicts of interest. The funders had no role in the design of the study, collection, analyses, or interpretation of data, writing of the manuscript, or the decision to publish the results.

The writing group takes sole responsibility for the content of this article, and the content of this article reflects the views of the authors only. S.W, I.R. J.B. and J.W. are staff members of the WHO and M.B. and R.M. are WHO consultants. The WHO is not liable for any use that may be made of the information contained herein.

Funding Sources

The authors gratefully acknowledge support from a grant from the Russian Government in the context of the WHO European Office for the Prevention and Control of NCDs.

Data collection in the following countries was made possible through funding. Albania: WHO through the Joint Programme on Children, Food Security and Nutrition “Reducing Malnutrition in Children” (the Millennium Development Goals Achievement Fund) and the Institute of Public Health; Bulgaria: Ministry of Health, National Centre of Public Health and Analyses, WHO Regional Office for Europe; Croatia: Ministry of Health, Croatian Institute of Public Health and WHO Regional Office for Europe; Czechia: grants AZV MZČR 17–31670 A and MZČR − RVO EÚ 00023761; Denmark: Danish Ministry of Health; Estonia: Ministry of Social Affairs, Ministry of Education and Research (IUT 42–2), WHO Country Office, and National Institute for Health Development; France: Sante Publique France, the French Agency for Public Health; Georgia: WHO; Ireland: Health Service Executive; Italy: Ministry of Health and Italian National Institute of Health; Kazakhstan: Ministry of Health of the Republic of Kazakhstan and WHO Country Office; Kyrgyzstan: WHO; Latvia: Ministry of Health, Centre for Disease Prevention and Control; Lithuania: Science Foundation of Lithuanian University of Health Sciences and Lithuanian Science Council and WHO; Malta: Ministry of Health; Montenegro: WHO and Institute of Public Health of Montenegro; Poland: National Health Programme, Ministry of Health; Portugal: Ministry of Health Institutions, the National Institute of Health, Directorate General of Health, Regional Health Directorates and the kind technical support from the Center for Studies and Research on Social Dynamics and Health (CEIDSS); Romania: Ministry of Health; San Marino: Health Ministry, Educational Ministry, Social Security Institute and Health Authority; Spain: Spanish Agency for Food Safety and Nutrition (AESAN); Turkmenistan: WHO Country Office in Turkmenistan and Ministry of Health; Turkey: Turkish Ministry of Health and the World Bank.

Author Contributions

S.W., M.B. and J.B. conceptualized the manuscript. S.W., M.B., M.P., K.A.O., and P.G. drafted the manuscript. M.B. conducted all analyses. J.B. made substantial contribution to drafts of both the manuscript and the COSI study protocol as well as interpretation of the results. J.H., V.D., S.M.M., H.Z., T.H., E.N., L.S., C.C.K., M.H., A.S., P.N., A.A., S.A., G.A., Z.U., I.P., A.P., V.F.S., E.K., S.P., A.F., A.R., M.A.C., L.A.B., V.P., A.G., M.G.S., E.G.G., Z.A., N.Y. and M.T. commented on drafts of the paper and contributed with data collection and data cleaning. D.W., K.S., D.S., A.F.H., E.M.I., M.H., V.A.K., S.O., L.T., G.S., K.R.J., I.S., J.W., I.R., R.M., H.R., A.S.F., I.H.B., M.R. and W.A. contributed to drafts of the manuscript. All authors contributed to and approved the paper.

Supplementary Material

Supplementary data

Supplementary data

Supplementary data

Supplementary data

Supplementary data

Acknowledgements

We gratefully acknowledge all participating children, and the parents, schoolteachers, and school principals for kindly volunteering to collaborate in the study. We also thank the examiners and regional and local supervisors/coordinators who collected the data in each country. Furthermore, we would like to acknowledge the contribution of other researchers and/or principal investigators who contributed to the COSI study or the interpretation of the results, namely: Bianca Fuchs-Nehold, Adelheid Weber, Isabelle Moyersoen, Marie Kunesova, Päivi Mäki, Tiina Laatikainen, Valikhan Akhmetov, Dorothy Zammit, Svetlana Cociu, Constanta Huidumac, Elena Bogova, Elena Sacchini, Višnja Đorđić, Britt Eriksson, Sanavba Rakhmatulloeave, María Ángeles Dal Re, Dilorom Akhmedova, Barno Abdusamatova, Benoit Salanave, Julie Malherbe, Else Karin Grøholt, Natalia Silitrari, Vladislav Zbanatsky, Dilorom Akhmedova, Tue Kristensen, Jolanda Boer, and Andrea Horvath.

References

  • 1.WHO . Geneva: World Health Organization; 2010. Global recommendations on physical activity for health. [PubMed] [Google Scholar]
  • 2.Kuzik N, Carson V, Andersen LB, Sardinha LB, Grøntved A, Hansen BH, et al. International Children's Accelerometry Database (ICAD) Collaborators Physical Activity and Sedentary Time Associations with Metabolic Health Across Weight Statuses in Children and Adolescents. Obesity (Silver Spring) 2017 Oct;25((10)):1762–9. doi: 10.1002/oby.21952. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Moore JB, Beets MW, Brazendale K, Blair SN, Pate RR, Andersen LB, et al. Associations of Vigorous-Intensity Physical Activity with Biomarkers in Youth. Med Sci Sports Exerc. 2017 Jul;49((7)):1366–74. doi: 10.1249/MSS.0000000000001249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Freedman DS, Khan LK, Serdula MK, Dietz WH, Srinivasan SR, Berenson GS. The relation of childhood BMI to adult adiposity: the Bogalusa Heart Study. Pediatrics. 2005 Jan;115((1)):22–7. doi: 10.1542/peds.2004-0220. [DOI] [PubMed] [Google Scholar]
  • 5.Li C, Ford ES, Zhao G, Mokdad AH. Prevalence of pre-diabetes and its association with clustering of cardiometabolic risk factors and hyperinsulinemia among U.S. adolescents: National Health and Nutrition Examination Survey 2005-2006. Diabetes Care. 2009 Feb;32((2)):342–7. doi: 10.2337/dc08-1128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Schwimmer JB, Burwinkle TM, Varni JW. Health-related quality of life of severely obese children and adolescents. JAMA. 2003 Apr;289((14)):1813–9. doi: 10.1001/jama.289.14.1813. [DOI] [PubMed] [Google Scholar]
  • 7.Janicke DM, Marciel KK, Ingerski LM, Novoa W, Lowry KW, Sallinen BJ, et al. Impact of psychosocial factors on quality of life in overweight youth. Obesity (Silver Spring) 2007 Jul;15((7)):1799–807. doi: 10.1038/oby.2007.214. [DOI] [PubMed] [Google Scholar]
  • 8.Tsiros MD, Olds T, Buckley JD, Grimshaw P, Brennan L, Walkley J, et al. Health-related quality of life in obese children and adolescents. Int J Obes. 2009 Apr;33((4)):387–400. doi: 10.1038/ijo.2009.42. [DOI] [PubMed] [Google Scholar]
  • 9.Brixval CS, Rayce SL, Rasmussen M, Holstein BE, Due P. Overweight, body image and bullying—an epidemiological study of 11- to 15-years olds. Eur J Public Health. 2012 Feb;22((1)):126–30. doi: 10.1093/eurpub/ckr010. [DOI] [PubMed] [Google Scholar]
  • 10.Dietz WH, Robinson TN. Clinical practice. Overweight children and adolescents. N Engl J Med. 2005 May;352((20)):2100–9. doi: 10.1056/NEJMcp043052. [DOI] [PubMed] [Google Scholar]
  • 11.Kristensen PL, Møller NC, Korsholm L, Wedderkopp N, Andersen LB, Froberg K. Tracking of objectively measured physical activity from childhood to adolescence: the European youth heart study. Scand J Med Sci Sports. 2008 Apr;18((2)):171–8. doi: 10.1111/j.1600-0838.2006.00622.x. [DOI] [PubMed] [Google Scholar]
  • 12.Telama R. Tracking of physical activity from childhood to adulthood: a review. Obes Facts. 2009;2((3)):187–95. doi: 10.1159/000222244. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.WHO . Geneva: WHO; 2019. Global Action Plan for Physical Activity 2018-2030: more active people for healthier world. [Google Scholar]
  • 14.World Health Organization, Regional Office for Europe . Copenhagen: World Health Organisation Regional Office for Europe; 2016. Physical activity strategy for the WHO European Region 2016-2025. [Google Scholar]
  • 15.Pearson N, Biddle SJ. Sedentary behavior and dietary intake in children, adolescents, and adults. A systematic review. Am J Prev Med. 2011 Aug;41((2)):178–88. doi: 10.1016/j.amepre.2011.05.002. [DOI] [PubMed] [Google Scholar]
  • 16.Miller MA, Kruisbrink M, Wallace J, Ji C, Cappuccio FP. Sleep duration and incidence of obesity in infants, children, and adolescents: a systematic review and meta-analysis of prospective studies. Sleep (Basel) 2018 Apr;41((4)) doi: 10.1093/sleep/zsy018. [DOI] [PubMed] [Google Scholar]
  • 17.Sparano S, Lauria F, Ahrens W, Fraterman A, Thumann B, Iacoviello L, et al. Sleep duration and blood pressure in children: analysis of the pan-European IDEFICS cohort. J Clin Hypertens (Greenwich) 2019 May;21((5)):572–8. doi: 10.1111/jch.13520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Thumann BF, Börnhorst C, Michels N, Veidebaum T, Solea A, Reisch L, et al. IDEFICS and I. Family consortia Cross-sectional and longitudinal associations between psychosocial well-being and sleep in European children and adolescents. J Sleep Res. 2019 Apr;28((2)):e12783. doi: 10.1111/jsr.12783. [DOI] [PubMed] [Google Scholar]
  • 19.Tremblay MS, Carson V, Chaput JP, Connor Gorber S, Dinh T, Duggan M, et al. Canadian 24-Hour Movement Guidelines for Children and Youth: An Integration of Physical Activity, Sedentary Behaviour, and Sleep. Appl Physiol Nutr Metab. 2016 Jun;41((6 Suppl 3)):S311–27. doi: 10.1139/apnm-2016-0151. [DOI] [PubMed] [Google Scholar]
  • 20.Department of Health . Canberra: Department of Health; 2019. Australian Government. Australian 24-Hour Movement Guidelines for Children and Young People (5-17 years): an integration of physical activity, sedentary behaviour and sleep. [Google Scholar]
  • 21.Ministry of Health, New Zealand Government . Wellington: Ministry of Health, New Zealand Government; 2017. Physical Activity Guidelines for Children and Young People. [Google Scholar]
  • 22.WHO Regional Office for Europe . Copenhagen: WHO/Europe; 2016. WHO European Childhood Obesity Surveillance Initiative. Data collection procedures, 2016. [Google Scholar]
  • 23.Wijnhoven T, Branca F. Copenhagen: WHO/Europe; 2008. WHO European Childhood Obesity Surveillance Initiative. Protocol, version January 2008. [Google Scholar]
  • 24.WHO Regional Office for Europe . Copenhagen: WHO/Europe; 2010. WHO European Childhood Obesity Surveillance Initiative. Protocol, version August 2010. [Google Scholar]
  • 25.WHO Regional Office for Europe . Copenhagen: WHO/Europe; 2012. WHO European Childhood Obesity Surveillance Initiative. Protocol, version October 2012. [Google Scholar]
  • 26.WHO Regional Office for Europe . Copenhagen: WHO/Europe; 2016. WHO European Childhood Obesity Surveillance Initiative. Protocol, 2016. [Google Scholar]
  • 27.World Health Organization, Council for International Organizations of Medical Sciences . Geneva: CIOMS; 2017. International ethical guidelines for health-related research involving humans. [Google Scholar]
  • 28.Spinelli A, Buoncristiano M, Kovacs VA, Yngve A, Spiroski I, Obreja G, et al. Prevalence of Severe Obesity among Primary School Children in 21 European Countries. Obes Facts. 2019;12((2)):244–58. doi: 10.1159/000500436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Sallis JF, Cervero RB, Ascher W, Henderson KA, Kraft MK, Kerr J. An ecological approach to creating active living communities. Annu Rev Public Health. 2006;27((1)):297–322. doi: 10.1146/annurev.publhealth.27.021405.102100. [DOI] [PubMed] [Google Scholar]
  • 30.Tremblay MS, Gray CE, Akinroye K, Harrington DM, Katzmarzyk PT, Lambert EV, et al. Physical activity of children: a global matrix of grades comparing 15 countries. J Phys Act Health. 2014 May;11((s1 Suppl 1)):S113–25. doi: 10.1123/jpah.2014-0177. [DOI] [PubMed] [Google Scholar]
  • 31.Brockman R, Jago R, Fox KR. The contribution of active play to the physical activity of primary school children. Prev Med. 2010 Aug;51((2)):144–7. doi: 10.1016/j.ypmed.2010.05.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Davison KK, Lawson CT. Do attributes in the physical environment influence children's physical activity? A review of the literature. Int J Behav Nutr Phys Act. 2006 Jul;3((1)):19. doi: 10.1186/1479-5868-3-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Harrison F, Goodman A, van Sluijs EM, Andersen LB, Cardon G, Davey R, et al. on behalf the ICAD collaborators Weather and children's physical activity; how and why do relationships vary between countries? Int J Behav Nutr Phys Act. 2017 May;14((1)):74. doi: 10.1186/s12966-017-0526-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Sallis JF, Prochaska JJ, Taylor WC. A review of correlates of physical activity of children and adolescents. Med Sci Sports Exerc. 2000 May;32((5)):963–75. doi: 10.1097/00005768-200005000-00014. [DOI] [PubMed] [Google Scholar]
  • 35.Telford RM, Telford RD, Olive LS, Cochrane T, Davey R. Why Are Girls Less Physically Active than Boys? Findings from the LOOK Longitudinal Study. PLoS One. 2016 Mar;11((3)):e0150041. doi: 10.1371/journal.pone.0150041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Reimers AK, Schoeppe S, Demetriou Y, Knapp G. Physical Activity and Outdoor Play of Children in Public Playgrounds-Do Gender and Social Environment Matter? Int J Environ Res Public Health. 2018 Jun;15((7)):1356. doi: 10.3390/ijerph15071356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Kokko S, Martin L, Geidne S, Van Hoye A, Lane A, Meganck J, et al. Does sports club participation contribute to physical activity among children and adolescents? A comparison across six European countries. Scand J Public Health. 2019 Dec;47((8)):851–8. doi: 10.1177/1403494818786110. [DOI] [PubMed] [Google Scholar]
  • 38.Karsten L. Children's Use of Public Space: The Gendered World of the Playground. Childhood. 2003 Nov;10((4)):457–73. [Google Scholar]
  • 39.Larouche R, Saunders TJ, Faulkner G, Colley R, Tremblay M. Associations between active school transport and physical activity, body composition, and cardiovascular fitness: a systematic review of 68 studies. J Phys Act Health. 2014 Jan;11((1)):206–27. doi: 10.1123/jpah.2011-0345. [DOI] [PubMed] [Google Scholar]
  • 40.Roman-Viñas B, Chaput JP, Katzmarzyk PT, Fogelholm M, Lambert EV, Maher C, et al. ISCOLE Research Group Proportion of children meeting recommendations for 24-hour movement guidelines and associations with adiposity in a 12-country study. Int J Behav Nutr Phys Act. 2016 Nov;13((1)):123. doi: 10.1186/s12966-016-0449-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Atkin AJ, Sharp SJ, Corder K, van Sluijs EM, International Children's Accelerometry Database (ICAD) Collaborators Prevalence and correlates of screen time in youth: an international perspective. Am J Prev Med. 2014 Dec;47((6)):803–7. doi: 10.1016/j.amepre.2014.07.043. [DOI] [PubMed] [Google Scholar]
  • 42.Wood CT, Skinner AC, Brown JD, Brown CL, Howard JB, Steiner MJ, et al. Concordance of Child and Parent Reports of Children's Screen Media Use. Acad Pediatr. 2019 Jul;19((5)):529–33. doi: 10.1016/j.acap.2019.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Hidding LM, Altenburg TM, van Ekris E, Chinapaw MJ. Why Do Children Engage in Sedentary Behavior? Child- and Parent-Perceived Determinants. Int J Environ Res Public Health. 2017 Jun;14((7)):E671. doi: 10.3390/ijerph14070671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.LeBlanc AG, Broyles ST, Chaput JP, Leduc G, Boyer C, Borghese MM, et al. Correlates of objectively measured sedentary time and self-reported screen time in Canadian children. Int J Behav Nutr Phys Act. 2015 Mar;12((1)):38. doi: 10.1186/s12966-015-0197-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Chaput JP, Gray CE, Poitras VJ, Carson V, Gruber R, Olds T, et al. Systematic review of the relationships between sleep duration and health indicators in school-aged children and youth. Appl Physiol Nutr Metab. 2016 Jun;41((6 Suppl 3)):S266–82. doi: 10.1139/apnm-2015-0627. [DOI] [PubMed] [Google Scholar]
  • 46.Hense S, Barba G, Pohlabeln H, De Henauw S, Marild S, Molnar D, et al. Factors that influence weekday sleep duration in European children. Sleep (Basel) 2011 May;34((5)):633–9. doi: 10.1093/sleep/34.5.633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Tremblay MS, Aubert S, Barnes JD, Saunders TJ, Carson V, Latimer-Cheung AE, et al. SBRN Terminology Consensus Project Participants Sedentary Behavior Research Network (SBRN) - Terminology Consensus Project process and outcome. Int J Behav Nutr Phys Act. 2017 Jun;14((1)):75. doi: 10.1186/s12966-017-0525-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Thivel D, Tremblay A, Genin PM, Panahi S, Rivière D, Duclos M. Physical Activity, Inactivity, and Sedentary Behaviors: Definitions and Implications in Occupational Health. Front Public Health. 2018 Oct;6:288. doi: 10.3389/fpubh.2018.00288. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data

Supplementary data

Supplementary data

Supplementary data

Supplementary data


Articles from Obesity Facts are provided here courtesy of Karger Publishers

RESOURCES