Why Are Children Different in Their Daily Sedentariness? An Approach Based on the Mixed-Effects Location Scale Model

Thayse Natacha Gomes, Donald Hedeker, Fernanda Karina dos Santos, Sara Pereira, Peter T Katzmarzyk, José A R Maia, Thayse Natacha Gomes, Donald Hedeker, Fernanda Karina dos Santos, Sara Pereira, Peter T Katzmarzyk, José A R Maia

Abstract

This study aimed to investigate the between- and within-individual variability in sedentary time over seven days, using a mixed-effects location scale model. The sample comprised 686 Portuguese children (381 girls) aged 9-11 years, from 23 schools. Sedentary time was estimated by the Actigraph GT3X+ accelerometer, which was used 24 hours/day for 7 consecutive days; height, sitting height, and weight were measured, BMI was computed (WHO cut-points were used to classify subjects as normal weight or overweight/obese), and maturity offset was estimated. Information regarding the home environment was obtained by questionnaire. Results revealed that (i) children were more sedentary on Friday, but less so on Saturday and Sunday (compared to Monday), with significant variation between- and within-subjects (between-subject variance=0.800, within-subject variance=1.793, intra-subject correlation=0.308); (ii) there is a sex effect on sedentariness, with boys being less sedentary than girls (p<0.001), and the between-subject variance was 1.48 times larger for boys than girls; (iii) in terms of the within-subject variance, or erraticism, Tuesday, Wednesday and Friday have similar erraticism levels as Monday (Thursday has less, while Saturday and Sunday have more); in addition, girls (variance ratio=0.632, p<0.001), overweight/obese children (variance ratio=0.861, p=0.019), and those later mature (variance ratio=0.849, p=0.013) have less erraticism than their counterparts; (iv) the within-subject variance varied significantly across subjects (scale std dev=0.342±0.037, p<0.001); and (v) in the fixed part of the model, only biological maturation was positively related to sedentariness. This study demonstrated that there is significant between- and within-subject variability in sedentariness across a whole week. This implies that a focus on intra-individual variability, instead of only on mean values, would provide relevant information towards a more complete map of children's sedentary behaviour, which can be helpful when developing more efficient strategies to reduce sedentariness.

Conflict of interest statement

Competing Interests: ISCOLE was funded by The Coca-Cola Company. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1. Time spent in sedentary behaviour…
Fig 1. Time spent in sedentary behaviour over a week, for boys.
Fig 2. Time spent in sedentary behaviour…
Fig 2. Time spent in sedentary behaviour over a week, for girls.
Fig 3. WS differences in sedentariness along…
Fig 3. WS differences in sedentariness along a whole week, for 2 boys (up) and two girls (down), with same mean sedentariness time across the week.

References

    1. Gorely T, Marshall SJ, Biddle SJ, Cameron N. Patterns of sedentary behaviour and physical activity among adolescents in the United Kingdom: Project STIL. J Behav Med. 2007; 30: 521–531.
    1. Atkin AJ, Corder K, Ekelund U, Wijndaele K, Griffin SJ, van Sluijs EM. Determinants of change in children's sedentary time. PLoS One. 2013; 8: e67627 10.1371/journal.pone.0067627
    1. Vicente-Rodriguez G, Rey-Lopez JP, Martin-Matillas M, Moreno LA, Warnberg J, Redondo C, et al. Television watching, videogames, and excess of body fat in Spanish adolescents: the AVENA study. Nutrition. 2008; 24: 654–662. 10.1016/j.nut.2008.03.011
    1. Steele RM, Brage S, Corder K, Wareham NJ, Ekelund U. Physical activity, cardiorespiratory fitness, and the metabolic syndrome in youth. J Appl Physiol. 2008; 105: 342–351. 10.1152/japplphysiol.00072.2008
    1. Pate RR, Mitchell JA, Byun W, Dowda M. Sedentary behaviour in youth. Br J Sports Med. 2011; 45: 906–913. 10.1136/bjsports-2011-090192
    1. Uijtdewilligen L, Nauta J, Singh AS, van Mechelen W, Twisk JW, van der Horst K, et al. Determinants of physical activity and sedentary behaviour in young people: a review and quality synthesis of prospective studies. Br J Sports Med. 2011; 45: 896–905. 10.1136/bjsports-2011-090197
    1. Sallis JF, Prochaska JJ, Taylor WC. A review of correlates of physical activity of children and adolescents. Med Sci Sports Exerc. 2000; 32: 963–975.
    1. Zabinski MF, Norman GJ, Sallis JF, Calfas KJ, Patrick K. Patterns of sedentary behavior among adolescents. Health Psychol. 2007; 26: 113–120.
    1. Marshall SJ, Biddle SJH, Sallis JF, McKenzie TL, Conway TL. Clustering of sedentary behaviors and physical activity among youth: A cross-national study. Pediatr Exerc Sci. 2002; 14: 401–417.
    1. Van Der Horst K, Paw MJ, Twisk JW, Van Mechelen W. A brief review on correlates of physical activity and sedentariness in youth. Med Sci Sports Exerc. 2007; 39: 1241–1250.
    1. Brodersen NH, Steptoe A, Boniface DR, Wardle J. Trends in physical activity and sedentary behaviour in adolescence: ethnic and socioeconomic differences. Br J Sports Med. 2007; 41: 140–144.
    1. Brodersen NH, Steptoe A, Williamson S, Wardle J. Sociodemographic, developmental, environmental, and psychological correlates of physical activity and sedentary behavior at age 11 to 12. Ann Behav Med. 2005; 29: 2–11.
    1. Marques A, Sallis JF, Martins J, Diniz J, Carreiro Da Costa F. Correlates of urban children's leisure-time physical activity and sedentary behaviors during school days. Am J Hum Biol. 2014.
    1. Hinkley T, Salmon J, Okely AD, Trost SG. Correlates of sedentary behaviours in preschool children: a review. Int J Behav Nutr Phys Act. 2010; 7: 66 10.1186/1479-5868-7-66
    1. Biddle SJ, Gorely T, Marshall SJ, Cameron N. The prevalence of sedentary behavior and physical activity in leisure time: A study of Scottish adolescents using ecological momentary assessment. Prev Med. 2009; 48: 151–155. 10.1016/j.ypmed.2008.10.025
    1. Ridgers ND, Timperio A, Crawford D, Salmon J. What factors are associated with adolescents' school break time physical activity and sedentary time? PLoS One. 2013; 8: e56838 10.1371/journal.pone.0056838
    1. Leatherdale ST, Faulkner G, Arbour-Nicitopoulos K. School and student characteristics associated with screen-time sedentary behavior among students in grades 5–8, Ontario, Canada, 2007–2008. Prev Chronic Dis. 2010; 7: A128
    1. Gomes TN, dos Santos FK, Santos D, Pereira S, Chaves R, Katzmarzyk PT, et al. Correlates of sedentary time in children: a multilevel modelling approach. BMC Public Health. 2014; 14: 890 10.1186/1471-2458-14-890
    1. Van Cauwenberghe E, Jones RA, Hinkley T, Crawford D, Okely AD. Patterns of physical activity and sedentary behaviour in preschool children. Int J Behav Nutr Phys Act. 2012; 9: 138 10.1186/1479-5868-9-138
    1. Telford RM, Telford RD, Cunningham RB, Cochrane T, Davey R, Waddington G. Longitudinal patterns of physical activity in children aged 8 to 12 years: the LOOK study. Int J Behav Nutr Phys Act. 2013; 10: 81 10.1186/1479-5868-10-81
    1. Matthews CE, Hagstromer M, Pober DM, Bowles HR. Best practices for using physical activity monitors in population-based research. Med Sci Sports Exerc. 2012; 44: S68–76. 10.1249/MSS.0b013e3182399e5b
    1. Hedeker D, Mermelstein RJ, Demirtas H. An application of a mixed-effects location scale model for analysis of Ecological Momentary Assessment (EMA) data. Biometrics. 2008; 64: 627–634.
    1. Hedeker D, Mermelstein RJ, Demirtas H. Modeling between-subject and within-subject variances in ecological momentary assessment data using mixed-effects location scale models. Stat Med. 2012; 31: 3328–3336. 10.1002/sim.5338
    1. Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, et al. The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods. BMC Public Health. 2013; 13: 900 10.1186/1471-2458-13-900
    1. de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007; 85: 660–667.
    1. Tudor-Locke C, Barreira TV, Schuna JM Jr., Mire EF, Katzmarzyk PT. Fully automated waist-worn accelerometer algorithm for detecting children's sleep-period time separate from 24-h physical activity or sedentary behaviors. Appl Physiol Nutr Metab. 2014; 39: 53–57. 10.1139/apnm-2013-0173
    1. Barreira TV, Schuna JM Jr, Mire EF, Katzmarzyk PT, Chaput J-P, Leduc G, et al. Identifying children's nocturnal sleep using 24-hour waist accelerometry. Med Sci Sports Exerc. 2014; in press.
    1. Biddle S, Cavil N, Ekelund U, Gorely T, Griffiths M, Jago R, et al. (2010) Sedentary behaviour and obesity: Review of the current scientific evidence. Londo, UK: Department of Health. Department for Children, Schools and Families.
    1. Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008; 26: 1557–1565. 10.1080/02640410802334196
    1. Mirwald RL, Baxter-Jones AD, Bailey DA, Beunen GP. An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc. 2002; 34: 689–694.
    1. Carson V, Cliff DP, Janssen X, Okely AD. Longitudinal levels and bouts of sedentary time among adolescent girls. BMC Pediatr. 2013; 13: 173 10.1186/1471-2431-13-173
    1. Steele RM, van Sluijs EM, Sharp SJ, Landsbaugh JR, Ekelund U, Griffin SJ. An investigation of patterns of children's sedentary and vigorous physical activity throughout the week. Int J Behav Nutr Phys Act. 2010; 7: 88 10.1186/1479-5868-7-88
    1. Harrington DM, Dowd KP, Bourke AK, Donnelly AE. Cross-sectional analysis of levels and patterns of objectively measured sedentary time in adolescent females. Int J Behav Nutr Phys Act. 2011; 8: 120 10.1186/1479-5868-8-120
    1. Verloigne M, Van Lippevelde W, Maes L, Yildirim M, Chinapaw M, Manios Y, et al. Levels of physical activity and sedentary time among 10- to 12-year-old boys and girls across 5 European countries using accelerometers: an observational study within the ENERGY-project. Int J Behav Nutr Phys Act. 2012; 9: 34 10.1186/1479-5868-9-34
    1. Blatchford P, Baines E, Pellegrini A. The social context of school playground games: Sex and ethnic differences, and changes over time after entry to junior school. Br J Dev Psychol. 2003; 21: 481–505.
    1. Nilsson A, Anderssen SA, Andersen LB, Froberg K, Riddoch C, Sardinha LB, et al. Between- and within-day variability in physical activity and inactivity in 9- and 15-year-old European children. Scand J Med Sci Sports. 2009; 19: 10–18. 10.1111/j.1600-0838.2007.00762.x
    1. Hertzog C, Nesselroade JR. Assessing psychological change in adulthood: an overview of methodological issues. Psychol Aging. 2003; 18: 639–657.
    1. Epstein S. The stability of behavior: I. On predicting most of the people much of the time. J Pers Soc Psychol. 1979; 37: 1097–1126.
    1. Hamaker EL (2014) Why Researchers Should Think "Within-Person"—A Paradigmatic Rationale In: Mehl MR, Conner TS, editors. Handbook of Research Ethods for Studying Daily Life. New York: The Guilford Press; pp. 43–61.
    1. Machado Rodrigues AM, Coelho E Silva MJ, Mota J, Cumming SP, Sherar LB, Neville H, et al. Confounding effect of biologic maturation on sex differences in physical activity and sedentary behavior in adolescents. Pediatric Exercise Science. 2010; 22: 442–453.
    1. Sherar LB, Esliger DW, Baxter-Jones AD, Tremblay MS. Age and gender differences in youth physical activity: does physical maturity matter? Med Sci Sports Exerc. 2007; 39: 830–835.
    1. Cumming SP, Standage M, Gillison F, Malina RM. Sex differences in exercise behavior during adolescence: is biological maturation a confounding factor? J Adolesc Health. 2008; 42: 480–485. 10.1016/j.jadohealth.2007.10.005
    1. Thompson A, Baxter-Jones AD, Mirwald RL, Bailey DA. Comparison of physical activity in male and female children: does maturation matter? Med Sci Sports Exerc. 2003; 35: 1684–1690.
    1. Gomes TN, dos Santos FK, Zhu W, Eisenmann J, Maia JA. Multilevel analyses of school and children's characteristics associated with physical activity. J Sch Health. 2014; 84: 668–676. 10.1111/josh.12193
    1. Stone A, Shiffman S. Ecologial momentary assessment (EMA) in behavioral medicine. Ann Behav Med. 1994; 16: 199–202.
    1. Reis HT (2014) Why Researchers Should Think "Real-World". A Conceptual Rationale In: Mehl MR, Conner TS, editors. Handbook of Research Methods for Studying Daily Life. New Yourk: The Guilford Press.
    1. Sardinha LB, Santos R, Vale S, Silva AM, Ferreira JP, Raimundo AM, et al. Prevalence of overweight and obesity among Portuguese youth: a study in a representative sample of 10-18-year-old children and adolescents. Int J Pediatr Obes. 2011; 6: e124–128. 10.3109/17477166.2010.490263
    1. Fundação Francisco Manuel dos Santos (2013) PORDATA.

Source: PubMed

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