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This is the published version of a paper published in Acta Paediatrica.

Citation for the original published paper (version of record):

Norman, Å., Nyberg, G. (2021)

Sedentary activity bout length was associated with BMI and waist circumference in

Swedish children aged 5-7 years.

Acta Paediatrica

https://doi.org/10.1111/apa.15866

Access to the published version may require subscription.

N.B. When citing this work, cite the original published paper.

This is an open access article under the terms of the Creative Commons

Attribution-NonCommersial Licence, which permits use, distribution and reproduction in any medium,

provided the original work is properly cited and is not used for commercial purposes.

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Acta Paediatrica. 2021;00:1–7. wileyonlinelibrary.com/journal/apa

|

 1

R E G U L A R A R T I C L E

Sedentary activity bout length was associated with BMI and

waist circumference in Swedish children aged 5– 7 years

Åsa Norman

1,2

 | Gisela Nyberg

1,3

This is an open access article under the terms of the Creative Commons Attribution- NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

© 2021 The Authors. Acta Paediatrica published by John Wiley & Sons Ltd on behalf of Foundation Acta Paediatrica Abbreviations: BMI- sds, Body mass index standard deviation score; BMI, body mass index.

1Department of Global Public Health,

Karolinska Institutet, Stockholm, Sweden

2Department of Clinical Neuroscience,

Karolinska Institutet, Stockholm, Sweden

3The Swedish School of Sport and Health

Sciences, Stockholm, Sweden

Correspondence

Åsa Norman, Department of Global Public Health, Karolinska Institutet, Tomtebodavägen 18A, 171 77 Stockholm, Sweden.

Email: asa.norman@ki.se

Funding information

This study was funded by The Martin Rind Foundation and The Sven Jerring Foundation.

Abstract

Aim: This study examined the pattern of sedentary behaviour during the week and

on weekends and associations with health outcomes among children aged 5– 7 years in Sweden.

Methods: This cross- sectional study used data from 342 children, many of whom had

at least one parent born outside the Nordic region. Physical activity and sedentary time were measured by accelerometry. A sedentary bout was defined as 1– 4 and 5– 9 min. Diet, time in front of television or computer screen, sleep and physical activ-ity behaviour were measured via parental reports, and anthropometric data by re-search staff.

Results: The number of sedentary bouts was higher on weekends than on weekdays.

Compared to girls, boys had more 1– 4 min bouts on both weekdays and weekend days, and more 5– 9 min bouts on weekends. A higher number of 5– 9 min bouts was associated with a higher body mass index and waist circumference.

Conclusion: This study showed an association between sedentary activity and weight

status in children as young as 5– 7 years. Reducing time, especially longer bouts, spent in sedentary activities may encourage healthy weight development in children.

K E Y W O R D S

A Healthy School Start, diet, health promotion, physical activity, screen time Keynotes

• This study examined associations between sedentary time accumulated in bouts and health outcomes among young Swedish children.

• Sedentary bouts of 5– 9 min were associated with a higher body mass index and greater waist circumference.

• Reducing time in sedentary bouts may have important implications for weight development in children.

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    NORMAN ANd NYBERG

1  |  INTRODUCTION

Self- reported sedentary behaviour has been associated with several negative health effects and behaviours. These include decreased fitness, lower self- esteem, depressive symptoms, lower quality of life, unhealthy diet, decreased academic performance, unfavourable body composition and less pro- social behaviour among children.1,2

Sedentary time is often objectively measured with accelerometry, and a sedentary bout is defined as a period of uninterrupted seden-tary activity.3 There is limited evidence regarding the associations

between total time spent in sedentary activity, and the pattern of sedentary time, that is how it is accumulated in bouts, and health outcomes in children.4

Several international studies have shown that a higher num-ber of sedentary bouts has been associated with body mass index standard deviation score (BMI- SDS), waist circumference and car-diometabolic risk factors among children.5– 7 Conversely, other

studies have found no associations with health outcomes.6,8,9 It

is also unclear whether the length of the bouts is associated with health outcomes.4

Different patterns of sedentary bouts between weekdays and weekends have been observed among children.5,10 A higher number

of sedentary bouts was found on weekdays compared to weekends in children aged 9– 13 years.10,11 The opposite pattern was observed

by Carson et al,5 where a higher number of bouts was found on the

weekends compared to weekdays in children aged 11 years. More research is needed to investigate how sedentary ac-tivity is accumulated in bouts, and how this is related to health outcomes among children. This evidence is required to inform health promotion strategies and interventions. To our knowl-edge, no study on the patterns of sedentary activity in relation to health outcomes in young children has been conducted in Sweden.

The aim of this study was to examine the pattern of accelerometer- measured sedentary bouts among children aged 5– 7 years in Sweden, many of whom had at least one parent of non- Nordic ori-gin. In addition, the study also aimed to examine the cross- sectional associations between sedentary bouts and health outcomes.

2  |  METHODS

This study was a cross- sectional study using baseline data from The Healthy School Start II study, collected in 2012.12 The A Healthy

School Start II study was designed as a cluster- randomised con-trolled trial and has been implemented twice in different areas in Stockholm, Sweden.12,13 A Healthy School Start is a parental

sup-port programme aiming to promote healthy diet and physical activity behaviours, and to prevent overweight and obesity, among children aged 5– 7 years. In the Healthy School Start II study, a total of 378 children from disadvantaged areas participated. Informed consent was collected in writing from parents of all participating children.

Ethical approval was granted by the Regional Ethical Review Board in Stockholm, Sweden (2012/877- 31/5).

2.1  |  Data collection

Physical activity was objectively measured using accelerometry. Anthropometrical measurements were made by research staff. Other health behaviours were reported by a questionnaire, com-pleted by the parents.

Sedentary time was assessed using accelerometry which is con-sidered to be a valid and reliable instrument in children.14 Children

were asked to wear an Actigraph GT3 X+ accelerometer (Actigraph, LCC) during all waking hours for 7 consecutive days. They were to remove it during any water- based activity and when sleeping. The accelerometer was placed on a belt and worn on the right hip. The epoch length was set to 15 s. At least 500 min of registered activity per day on at least 2 days was required in order to be included in the analyses. Activity before 7 a.m. and after 9 p.m. was excluded. Non- wear time was defined as 10 or more minutes of consecutive zero counts and excluded from registered activity. Sedentary ac-tivity was defined as all acac-tivity under 100 counts per minute.15 A

sedentary bout was defined as a period of 1– 9 consecutive minutes of sedentary activity. These bouts were subdivided into two groups of 1– 4 min and 5– 9 min. Previous studies have shown that it is of interest to also look at sedentary bouts of 10– 14 min, 15– 19 min and more than 30 min.5,7 However, few bouts were longer than

10 min, and therefore, longer bouts were too scarce to be used in more in- depth analyses. Bouts of 10– 19 min are included in the de-scriptive analyses only. Sedentary bouts refer to the mean number of sedentary bouts occurring per day. The mean number of bouts per day was calculated between 7 a.m. and 9 p.m. for weekdays and weekend days. Moderate- to- vigorous physical activity was defined as all activity above 2000 counts per minute, which corresponds to a walking pace of approximately 4 km/h in children.16 Children's

mem-bership of sports clubs, and screen time, was measured via the pa-rental questionnaire. Parents responded yes or no to whether their child was active in a sports organisation and also reported how many minutes their child had spent in front of the television or computer the previous weekday.

The children's dietary intake was measured using The Eating and Physical Activity Questionnaire.17 Parents reported their

child's intake of a selected number of items during the previous weekday. The food items considered healthy were fruits and veg-etables. The food items considered unhealthy were crisps or salty snacks, sweets or chocolate, ice- cream, and cakes, buns or cookies. The drink items considered unhealthy were soft drinks, flavoured milk and fruit juice. The response scale for food items was whole servings from zero to five or more and for drink items whole serv-ings from zero to six or more. Examples of a serving size expressed as volume were provided for each item. For example, for drinks, it was 1.5 dl (a decilitre is 100 ml), and for vegetables, it was 2 dl of

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grated carrots or cabbage, or a big tomato, or 2– 3 broccoli stalks. The total intake of unhealthy foods, healthy foods and unhealthy drinks was calculated by summing the individual items. Only in-takes of fruit juice above one serving were included, as at the time of data collection national dietary guidelines from the Swedish Food Agency included up to 1 dl of fruit juice. An Australian val-idation of the Eating and Physical Activity Questionnaire against 24- h recall found significant correlations ranging between 0.57 and 0.88 for different items.17

2.2  |  Sleep

Sleep was measured via the questionnaire. Parents indicated the number of hours per night their child normally slept (6– 7 h, 7– 8 h, 8– 9 h, 9– 10 h, more than 10 h per night). The variable was dichot-omised as sleeping more or less than 9 h per night.

Weight, height and waist circumference were measured by two trained research assistants using a standardised protocol.18 Body

mass index (BMI) was calculated by weight in kilograms divided by height in meters2. Overweight and obesity were defined according

to the International Obesity Task Force.19 Swedish age and sex

spe-cific reference values were used to calculate BMI- SDS.20

Parents reported their highest attained level of education as either low (12 years or less of schooling) or high (more than 12 years of schooling). Parental level of education was calcu-lated at family level, where the highest self- reported educational level attained by either parent was used. Parental region of birth was also calculated at family level using a dichotomised variable, Nordic or non- Nordic. The family was categorised as being of non- Nordic origin if at least one parent was born outside the Nordic region, that is somewhere other than Sweden, Norway, Finland, Denmark or Iceland.

2.3  |  Statistics

The programme ActiLife version 6.11.5 (Actigraph, LCC, Pensacola, Florida, USA) was used to identify, calculate and summarise seden-tary bouts. Statistical analysis was done using IBM SPSS statistics for Windows version 22.0 (IBM Corp.). The level of significance was set to p < 0.05. A t test was performed to detect sex differences in sedentary behaviour, number of 1– 4 min bouts, 5– 9 min bouts and 10– 19 min bouts. One- way analysis of covariance (ANCOVA) was performed to explore sex differences in sedentary bouts across the week, both for 1– 4 min bouts and 5– 9 min bouts. A test for an in-teraction effect between sex and bouts was performed. To explore associations between sedentary bouts, both 1– 4 min bouts and 5– 9 min bouts, and other health behaviours and anthropometrical outcomes, linear regression was performed for continuous out-comes: BMI- SDS, waist circumference, time in front of television or computer, intake of unhealthy food and drink, and intake of healthy food. Logistic regression was performed for binary outcomes: sleep

and participation in sports clubs. All analyses were adjusted for sex, moderate- to- vigorous physical activity and accelerometer wear time.

3  |  RESULTS

The mean age of the children was 6.3 years of age. The mean BMI- SDS was 0.66. The majority (87%) of families were of non- Nordic origin (Table 1). This is relatively high as nationally the propor-tion of individuals residing in Sweden who were born outside the Nordic region was 17.5% in 2019 according to Statistics Sweden. Approximately 50% of the children came from families where both parents had 12 years or less of schooling. Of the participating chil-dren, 52% were girls and 25% had overweight or obesity. In total, 342 children had valid accelerometer data— defined as more than 2 days with valid accelerometer data— and provided on average 5.5 days of valid data. Almost all (88%) of the children reached the World Health Organization recommendation of at least 60 min per day of moderate- to- vigorous physical activity.21

TA B L E 1 Descriptive characteristics of children and parents

Mean (SD)/% n

Age (years) 6.3 (0.3) 342

Girls (%) 52.3 342

Low level of parental education (%)a 50.3 316

Non- Nordic parents (%) 87.0 322

Weight (kg) 24.4 (4.8) 342

Height (cm) 120.2 (5.4) 342

Waist circumference (cm) 56.3 (5.5) 342

BMI- SDSc 0.66 (1.3) 342

Normal weight (%dd 68.4 342

Overweight and obese (%)d 25.4 342

Underweight (%)d 6.1 342

Sedentary activity, all week (min) 321.8 (45) 327

Sedentary activity, weekends (min) 326.1 (64) 268

Child physically active in sports

club (yes) 49.1 269

Time in front of television or computer (min/day)

126 (71.5) 280

Sleep (<9 h/night) (%) 30.5 285

Unhealthy foode  (servings) 1.7 (2.0) 269

Unhealthy drinke  (servings) 0.6 (0.9) 277

Healthy foode  (servings) 2.8 (0.6) 251

aParental education— low, families where both parents had 12 years or

less of schooling and high, families where at least one parent had more than 12 years of schooling.

bNordic region encompasses the countries: Sweden, Norway, Denmark,

Finland, and Iceland.

cDefined according to Karlberg et al, 2001.20

dDefined according to Cole et al, 2012.19

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    NORMAN ANd NYBERG

3.1  |  Patterns of sedentary bouts

The children spent an average of 322 min per day in sedentary ac-tivity across all days of the week (Table 1). The mean number of sedentary bouts of 1– 4 min, 5– 9 min and 10– 19 min was highest at weekends for the whole group. Significant differences between girls and boys regarding sedentary bouts of 1– 4 min were seen, where boys had more bouts in 1– 4 min than girls on both weekdays and weekdays. Boys had more sedentary bouts in 5– 9 min than girls on weekends only. There were no differences between boys and girls regarding sedentary bouts of 10– 19 min (Table 2).

Regarding patterns of bouts across the week, the number of sedentary bouts was higher on the weekend for both boys and girls (Figure 1). A significant difference was seen in the pattern during the week (p < 0.001) but no significant interaction effect with sex was found (p = 0.06).

3.2  |  Associations between sedentary

behaviour and health outcomes

Regarding bouts of 1– 4 min on weekdays, a significant relationship was found between number of bouts and longer time spent in front of television or computer (0.7 min, p = 0.04) (Table 2). Regarding bouts of 1– 4 min on weekends, significant relationships were found between number of bouts and a higher waist circumference (0.38 centimetres, p = 0.02) and a lower intake of unhealthy foods (−0.2 servings, p = 0.02) (Table 3).

Regarding bouts of 5– 9 min on weekdays, significant relation-ships were found between number of bouts and a higher BMI- SDS (0.08 SDS, p = 0.05), higher waist circumference (0.48 centimetres, p = 0.002) and longer time spent in front of television or computer (7.7 min, p = 0.001) (Table 2). Regarding bouts of 5– 9 min on week-ends, a significant relationship was found between number of bouts and higher waist circumference (0.22 centimetres, p = 0.02). An

association was seen between bouts and BMI- SDS (0.05 SDS) but this was not significant (p = 0.07) (Table 3).

4  |  DISCUSSION

This study examined the patterns of sedentary activity during the week and the associations between sedentary bouts and health outcomes, among children aged 5– 7 years in Sweden from fami-lies with a high proportion of parents with a non- Nordic origin. This study found that the number of sedentary bouts was higher on weekends compared to weekdays. In addition, sedentary bouts of 5– 9 min were associated with a higher BMI and waist circumfer-ence, whereas shorter bouts of 1– 4 min were not associated with the health outcomes to the same extent. Interestingly, few of the bouts were 10 min or longer, in fact so few that it did not permit for statistical analysis of the relationship with health outcomes.

The results showed that the number of sedentary bouts of 1– 4 min, 5– 9 min and 10– 19 min were higher during weekends com-pared to weekdays. Similar results have been reported in a study by Carson et al5 who found that bouts of 5– 9 min were higher during the

weekends compare to weekdays in Canadian children aged 11 years (n = 787). In a study of European children aged 9– 13 years (n = 1057), the opposite was observed, and in a study with Belgian children aged 10– 12 years (n = 577), they showed that bouts of 5– 10 min and bouts of at least 10 min were higher on weekdays than on weekends.10,11

The length of sedentary time accumulated in sedentary bouts has varied largely between studies but children have generally been found to engage in short sedentary bouts of 2– 5 and 5– 10 min.11

In this current study, it was observed that sedentary bouts of 5– 9 min were more strongly associated with health outcomes com-pared to shorter bouts of 1– 4 min. Bouts of 5– 9 min on weekdays were significantly associated with a higher BMI (β = 0.08) and a higher waist circumference (β = 0.48), and bouts on weekends with a higher waist circumference (β = 0.22). The present results can

N

Total Boys (n = 163) Girls (n = 179)

p

Mean SD Mean SD Mean SD

Bouts 1– 4 min Weekendsa 279 58.6 21.2 61.6 20.8 55.9 21.2 0.02 Weekdaysb 342 48.1 14.9 50.1 14.9 46.3 14.7 0.02 Bouts 5– 9 min Weekendsa 279 4.6 3.5 4.7 3.4 4.6 3.6 0.80 Weekdaysb 342 3.3 1.9 3.6 2.0 3.1 1.8 0.02 Bouts 10– 19 min Weekendsa 279 0.48 0.75 0.45 0.70 0.52 0.80 0.44 Weekdaysb 342 0.35 0.39 0.35 0.38 0.34 0.40 0.81

Note: p— Difference between boys and girls.

aWeekends (Saturday and Sunday) between 7 a.m. and 9 p.m.

bWeekdays (Monday to Friday) between 7 a.m. and 9 p.m.

TA B L E 2 Mean number of sedentary

bouts on weekends and weekdays for the entire group and tested for differences between boys and girls

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be compared to a study with children aged 11 years where they found that bouts of 5– 9 min on weekdays and on weekends were associated with a higher BMI z- score (β = 0.25 and β = 0.13, respec-tively).5 Another study showed a negative association between

bouts of 5– 9 min and waist circumference (β = −0.355) in girls aged 8– 11 years and a positive association between bouts of 10– 14 min and BMI z- scores (β = 0.169) in boys.7 Conversely, there are other

studies that have not found any associations between bouts of this length and health outcomes.6,8,9 The comparability between studies

may be limited, as previous studies have applied different acceler-ometer data processing decisions for assessing sedentary time and

patterns in children.10 Earlier studies have shown that there seems

to be a difference between active and passive sedentary activities in relation to health and academic performance in children.22,23 Corder

et al reported that different sedentary activities showed varied re-lationships with academic performance. Objective measurement of sedentary time and time spent on homework and reading was related to higher academic scores, whereas screen time was asso-ciated with lower academic performance.22 In addition, the effects

of screen time on physical health, psychological and educational outcomes have been shown to be moderated by the type of screen time, where passive screen time had the most detrimental effects in

F I G U R E 1 Number of sedentary bouts

of 5– 9 min during the different days of the week, divided by boys (n = 55) and girls (n = 53)

Girls Boys Monday

TuesdayWednesdayThursday Friday Saturday Sunday Days 1,5 2,0 2,5 3,0 3,5 4,0 4,5 5,0 5,5 6,0 6,5 7,0 st uo bf or eb mu N

TA B L E 3 Associations between bouts of sedentary time and health outcomes

Weekdays Weekend

Bouts 1– 4 min Bouts 5– 9 min Bouts 1– 4 min Bouts 5– 9 min Anthropometry, diet, and screen

timea n b p b p n b p b p

BMI- SDS 342 −0.01 0.27 0.08 0.05 279 0.006 0.18 0.045 0.07

Waist circumference (cm) 342 0.01 0.73 0.48 0.002 279 0.38 0.02 0.22 0.02

Unhealthy foodc  (servings) 269 0.004 0.69 0.10 0.16 227 −0.016 0.02 −0.44 0.25

Unhealthy drinkc  (servings) 251 0.001 0.76 0.19 0.56 213 0.00 0.93 −0.17 0.38

Healthy foodc  (servings) 277 0.001 0.94 0.05 0.54 234 0.005 0.40 0.03 0.35

Time in front of television or computer (min)

280 0.66 0.04 7.69 0.001 237 0.34 0.15 1.8 0.20

Sleep and activityb n OR p OR p n OR p OR p

Sleep (<9 h/night) (%) 285 0.99 0.34 0.92 0.25 241 1.00 0.94 0.95 0.23

Child physically active in sports

club (%) 269 1.00 0.99 0.96 0.58 226 1.01 0.50 1.02 0.71

Abbreviations: b, Regression coefficient (beta); CI, 95% confidence interval; OR, odds ratios.

aResults of linear regression adjusted for sex, mean time in moderate- to- vigorous activity, mean accelerometer wear time.

bResults of logistic regression adjusted for sex, mean time in moderate- to- vigorous activity, mean accelerometer wear time.

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    NORMAN ANd NYBERG children.23 Therefore, the type of screen time may be important to

consider when formulating in health promotion messages in relation to sedentary behaviours.

Due to the low frequency of sedentary bouts of 10– 19 min in the sample, this study did not allow for investigation of the relationship between longer bouts and health outcomes. This is a topic which requires further study as longer periods of sedentary time could hy-pothetically have a stronger adverse effect on health than shorter periods. However, this study showed that even sedentary time in what can be considered shorter time periods, of 5– 9 min, was ad-versely associated with health in children as young as 5– 7 years.

The present results showed that there were positive associations between time spent in front of television or computer and bouts of 1– 4 min, but with a small estimate of less than a minute of time in front of television or computer (β = 0.66) and 5– 9 min (β = 7.69). Also, there was a negative association between bouts of 1– 4 min and an unhealthy dietary intake (β = −0.016) but no other associations be-tween sedentary bouts and diet, sleep and participation in a sports club were observed. The reason for the lack of associations may be due to the fact that the children in the present study were quite young and had few bouts of accumulated sedentary time, especially in bouts of 10 min or more. The results indicated that young children do not engage in prolonged sedentary time,

4.1  |  Strengths and limitations

One major strength of the present study was the objective measure-ment of sedentary time patterns. Limitations included the inability to adequately measure specific physical activities such as cycling and water- based activities, which are both popular activities among children. In addition, another limitation was the cross- sectional de-sign of the study.

5  |  CONCLUSION

This study showed that sedentary bouts were associated with a higher BMI and waist circumference in children as young as 5– 7 years. These results indicate that reducing time spent sedentary activity, especially in bouts of 5– 9 min may have important implica-tions for weight development in children.

ACKNOWLEDGEMENTS

We wish to thank all the families and who participated in this study.

CONFLIC T OF INTEREST

The authors declare no conflicts of interest.

ORCID

Åsa Norman https://orcid.org/0000-0002-0313-3066

Gisela Nyberg https://orcid.org/0000-0003-0004-8533

REFERENCES

1. Tremblay MS, LeBlanc AG, Kho ME, et al. Systematic review of sed-entary behaviour and health indicators in school- aged children and youth. Int J Behav Nutr Phys Act. 2011;8:98.

2. Stiglic N, Viner RM. Effects of screentime on the health and well- being of children and adolescents: a systematic review of reviews. BMJ Open. 2019;9(1):e023191.

3. Altenburg TM, Chinapaw MJ. Bouts and breaks in children's seden-tary time: currently used operational definitions and recommenda-tions for future research. Prev Med. 2015;77:1- 3.

4. Cliff DP, Hesketh KD, Vella SA, et al. Objectively measured sed-entary behaviour and health and development in children and adolescents: systematic review and meta- analysis. Obes Rev. 2016;17(4):330- 344.

5. Carson V, Stone M, Faulkner G. Patterns of sedentary behavior and weight status among children. Pediatr Exerc Sci. 2014;26(1):95- 102. 6. Colley RC, Garriguet D, Janssen I, et al. The association between

accelerometer- measured patterns of sedentary time and health risk in children and youth: results from the Canadian Health Measures Survey. BMC Public Health. 2013;13:200.

7. Saunders TJ, Tremblay MS, Mathieu ME, et al. Associations of sed-entary behavior, sedsed-entary bouts and breaks in sedsed-entary time with cardiometabolic risk in children with a family history of obe-sity. PLoS One. 2013;8(11):e79143.

8. Carson V, Janssen I. Volume, patterns, and types of sedentary be-havior and cardio- metabolic health in children and adolescents: a cross- sectional study. BMC Public Health. 2011;11:274.

9. Altenburg TM, de Niet M, Verloigne M, et al. Occurrence and du-ration of various opedu-rational definitions of sedentary bouts and cross- sectional associations with cardiometabolic health indica-tors: the ENERGY- project. Prev Med. 2015;71:101- 106.

10. Chinapaw MJ, de Niet M, Verloigne M, De Bourdeaudhuij I, Brug J, Altenburg TM. From sedentary time to sedentary patterns: accelerometer data reduction decisions in youth. PLoS One. 2014;9(11):e111205.

11. Verloigne M, Ridgers ND, Chinapaw M, et al. Patterns of objectively measured sedentary time in 10- to 12- year- old Belgian children: an observational study within the ENERGY- project. BMC Pediatr. 2017;17(1):147.

12. Nyberg G, Norman A, Sundblom E, Zeebari Z, Elinder LS. Effectiveness of a universal parental support programme to pro-mote health behaviours and prevent overweight and obesity in 6- year- old children in disadvantaged areas, the Healthy School Start Study II, a cluster- randomised controlled trial. Int J Behav Nutr Phys Act. 2016;13:4.

13. Nyberg G, Sundblom E, Norman A, Bohman B, Hagberg J, Elinder LS. Effectiveness of a universal parental support programme to promote healthy dietary habits and physical activity and to pre-vent overweight and obesity in 6- year- old children: the healthy school start study, a cluster- randomised controlled trial. PLoS One. 2015;10(2):e0116876.

14. de Vries SI, Bakker I, Hopman- Rock M, Hirasing RA, van Mechelen W. Clinimetric review of motion sensors in children and adoles-cents. J Clin Epidemiol. 2006;59(7):670- 680.

15. Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accel-erometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc. 2011;43(7):1360- 1368.

16. Trost SG, Ward DS, Moorehead SM, Watson PD, Riner W, Burke JR. Validity of the computer science and applications (CSA) activity monitor in children. Med Sci Sports Exerc. 1998;30(4):629- 633. 17. Bennett CA, de Silva- Sanigorski AM, Nichols M, Bell AC, Swinburn

BA. Assessing the intake of obesity- related foods and beverages in young children: comparison of a simple population survey with 24 hr- recall. Int J Behav Nutr Phys Act. 2009;6:71.

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18. Nyberg G, Sundblom E, Norman A, Elinder LS. A Healthy School Start - parental support to promote healthy dietary habits and physical activity in children: design and evaluation of a cluster- randomised intervention. BMC Public Health. 2011;11:185. 19. Cole TJ, Lobstein T. Extended international (IOTF) body mass

index cut- offs for thinness, overweight and obesity. Pediatr Obes. 2012;7(4):284- 294.

20. Karlberg J, Luo ZC, Albertsson- Wikland K. Body mass index ref-erence values (mean and SD) for Swedish children. Acta Paediatr. 2001;90(12):1427- 1434.

21. World Health Organization. Global Recommendations on Physical Activity for Health. Geneva, Switzerland: World Health Organization; 2010.

22. Corder K, Atkin AJ, Bamber DJ, et al. Revising on the run or study-ing on the sofa: prospective associations between physical activity,

sedentary behaviour, and exam results in British adolescents. Int J Behav Nutr Phys Act. 2015;12:106.

23. Sanders T, Parker PD, Del Pozo- Cruz B, Noetel M, Lonsdale C. Type of screen time moderates effects on outcomes in 4013 children: evidence from the Longitudinal Study of Australian Children. Int J Behav Nutr Phys Act. 2019;16(1):117.

How to cite this article: Norman Å, Nyberg G. Sedentary

activity bout length was associated with BMI and waist circumference in Swedish children aged 5– 7 years. Acta

References

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