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Physical Activity and Sedentary Time among Children with Disabilities at School

SIT, CINDY H. P.; MCKENZIE, THOMAS L.; CERIN, ESTER; CHOW, BIK C.; HUANG, WENDY Y.; YU, JIE

Medicine & Science in Sports & Exercise: February 2017 - Volume 49 - Issue 2 - p 292–297
doi: 10.1249/MSS.0000000000001097
Epidemiology

Purposes Physical activity (PA) is important for the development of children with disabilities, but rarely does this population meet the recommended standards. Schools are salient locations for PA, but little is known about how specific school settings affect the PA of children with diverse disabilities. We assessed PA and sedentary time (ST) of children with disabilities in three school settings (physical education, recess, lunchtime).

Methods Participants included 259 children from 13 Hong Kong special schools for five primary disabilities: visual impairments, hearing impairments, physical disabilities, intellectual disabilities, and social development problems. Children wore accelerometers at school for 3 d, and the time (min and %) they engaged in moderate-to-vigorous PA (MVPA) and ST was extracted for each school setting by sex. Analyses included multiple linear mixed models to determine differences in MVPA and ST by sex across disability types, adjusting for body mass index, grade level, and duration in each setting.

Results Overall, children spent 70% of their day at school being sedentary and accrued little MVPA (mean, 17 ± 4.2 min daily). Children with intellectual disabilities (severe) had especially low levels of MVPA. All three settings contributed significantly to both MVPA and ST, with recess contributing more to MVPA than physical education or lunchtime.

Conclusions This is the first study to examine MVPA and ST among different disability types at school using accelerometry. Given the low levels of PA, this population should receive priority in the development of cost-effective interventions to improve their PA opportunities.

1Department of Sports Science and Physical Education, the Chinese University of Hong Kong, HONG KONG; 2School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA; 3Institute for Health and Ageing, Australian Catholic University, Melbourne, AUSTRALIA; 4School of Public Health, The University of Hong Kong, HONG KONG; 5Department of Physical Education, Hong Kong Baptist University, HONG KONG

Address for correspondence: Cindy H. P. Sit, Ph.D., Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong; E-mail: sithp@cuhk.edu.hk.

Submitted for publication May 2016.

Accepted for publication September 2016.

Physical inactivity is a serious public health problem, and the association of physical inactivity with obesity and obesity-related chronic diseases in children is well documented (35). Healthy People 2020 reaffirms the importance of physical activity (PA) and identifies “Disability and Health” as one of the topic areas that require further investigation (33). Evidence indicates that children with disabilities do not meet the recommended 60 min·d−1 of moderate-to-vigorous PA (MVPA) (24). Compared with their typically developing peers, children with disabilities are much less physically active, tend to engage more in sedentary pursuits, and are at three to six times greater risk for obesity (18). Increasing PA in children with disabilities is therefore important for reducing the prevalence of obesity as well as a number of secondary conditions, and thus is a public health priority (33).

Social–ecological models of health behavior that focus on environmental influences on PA are becoming more widely used in research (15). Schools, for example, are important settings where children can engage in health-promoting PA during the day (21,35), and the Institute of Medicine's recent report suggests that schools should provide at least 50% of the 60 min of daily recommended MVPA (14,34). Sample standards or guidelines for PA at schools include having daily active physical education (PE) (i.e., at least 50% lesson time in MVPA) (21,32), daily recess of at least 20 min (17), and after school programs that engage children in any PA for at least 17% of the time (1). Previous studies suggest that PE contributes modestly to total daily MVPA and that recess and afterschool programs can contribute up to at least a third of the recommended levels (23,31).

In Hong Kong, the Education Bureau recommends that 5%–8% of the total school curriculum time be allocated to PE (equivalent to 70–80 min·wk−1) (7). There are no specific guidelines, however, for time allocations for recess or other PA settings in special schools. Meanwhile, direct observation studies indicate that Hong Kong children with disabilities accrue little PA during recess and PE (30), and that during recess and lunchtime, they may accrue more PA than during on campus before and after school periods (28). Additional research, especially using objective methods, needs to be conducted among children with disabilities to understand the contributions of structured settings to PA and sedentary behavior at school.

A recent study using accelerometers during PE and recess reported that the children with intellectual disabilities did not meet recommended levels for PA during these school settings (19). Other studies have also used accelerometers to examine PA and sedentary time (ST) with children with physical (22,26) and intellectual disabilities (10). Regardless of disability type, children tend to spend a small amount of school time in MVPA and a great amount in sedentary pursuits. For example, Bingham et al. (2) examined both MVPA and ST of children with autism, behavioral, and emotional challenges, and other special needs. They found those with behavioral and emotional needs were more active than others, but over 80% of the children failed to meet PA guidelines. Although these studies are important, additional investigations are needed to advance the understanding of PA and ST of children with diverse types of disabilities during school time. The purpose of the present study was to use accelerometry to objectively assess the PA and ST of boys and girls with different disability types in school PA settings including PE. A secondary purpose was to determine the relative contributions of the accrual of PA and ST in these settings to overall school MVPA and ST in children with disabilities.

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METHODS

Participants

During the 2013–2014 school year, 7834 children were enrolled in 60 Hong Kong special schools (excluding one English Foundation Special School) (9). With the exception of hospital schools, special schools for five main disability types were in operation: visual impairment (VI) (n = 2), hearing impairment (HI) (n = 2), physical disability (PD) (n = 7), intellectual disability (ID) (n = 41), and social development (SD) (n = 7). These schools typically housed grades 1–12 and provided educational services to one class of students per grade level composed of 10–15 students (except for children with VI). Our cross-sectional study, conducted between November 2013 and March 2014, included 313 Chinese boys and girls enrolled in 13 of the special schools selected using a purposive sampling method. These individual schools and their curricula were designed specifically for children with VI, HI, PD, ID (mild, moderate, severe), and SD problems. Written informed parental consent and child assent were obtained for each participant. The study complied with the principles of the Declaration of Helsinki and was approved by the Joint Chinese University of Hong Kong-New Territories East Cluster Clinical Research Ethics Committee.

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Measures

Children's PA levels were assessed using accelerometry (GT3X model; ActiGraph, Pensacola, FL), an objective and widely used measure of PA in children, including those with disabilities (4). With the assistance of trained research assistants and teachers, children wore the accelerometer on an elastic belt above the right hip at school during three normal weekdays spread over a 1-month period. Data were collected in a 15-s epoch, and the original counts were quantified into either ST (≤100 counts per minute) or MVPA (≥2296 counts per minute) based on the cutoff points suggested by Evenson et al. (11). Evenson cutpoints have been used and/or validated previously with children with disabilities (4–6). The amount of time children engaged in ST and MVPA were extracted from the times they participated in structured PA programs in six different settings (i.e., before school, regular PE classes, recess, lunchtime, after school, and rehabilitation sessions) during the three measurement days. Participants' height and weight were obtained from the schools, and body mass index (BMI) was calculated.

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Statistical analysis

Mean and standard deviations were calculated to describe time in each setting and total wear time. We examined MVPA and ST during overall school time and during three separate settings (PE, recess, and lunchtime). Of 13 schools, only five schools provided before and after activity programs or rehabilitation sessions, so these contexts were not analyzed separately. To compare children's MVPA and ST across disability types in different settings, linear mixed models (LMM) were performed. LMM were chosen because they can deal with incomplete data sets with repeated measures (i.e., three measurement days) and adjustments for school-level clustering. Children with ID of severe level were taken as a reference category in LMM. Models, adjusting for BMI, grade level, and duration of the specific school setting (PE, recess, and lunchtime) were estimated for boys and girls separately. The contribution of time–segment MVPA and ST for each of the three settings to overall school MVPA and ST by sex were further determined by LMM, adjusting for BMI, grade level, and wear time. Statistical analyses were performed using SPSS version 22.0, and P value was set at 0.05.

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RESULTS

Of the 313 students initially recruited to participate in the study, 23 were not categorized into a specific disability type, eight had missing gender information, 15 with PD needed walking assistance or were wheelchair bound, and eight students did not have valid accelerometer data for at least 1 d. They were excluded from all analyses, resulting in a final dataset of 259 students (mean age, 13.04 ± 4.45 yr; range, 6–23 yr), most of whom (71.8%) were children with ID (Table 1). The grade level and BMI of children excluded from data analyses did not differ from those retained. Table 2 shows that students wore the accelerometers at school for an average of 412.7 min·d−1 (6.9 h). Overall, they spent 17 min (4.2%) of the school day in MVPA, 106 min (25.8%) in light PA, and 289 min (70.0%) in ST. Specific to the three settings, children spent an average of 7.2 min (13.2%) engaging in MVPA during PE, 3.0 min (9.4%) during recess, and 2.9 min (4.5%) during lunchtime.

TABLE 1

TABLE 1

TABLE 2

TABLE 2

Table 3 compares the total daily MVPA and ST at school by sex across the disability types. After controlling for confounders, boys with mild ID, moderate ID, and SD problems were more physically active than boys with severe ID. Boys with severe ID were more sedentary than boys with other disability types. Among girls, there were no significant differences in MVPA across the disability types. Girls with VI, mild ID, and severe ID, however, were less sedentary than girls with severe ID.

TABLE 3

TABLE 3

Tables 4 to 6 compare MVPA and ST for boys and girls during PE lessons, recess, and lunch periods across the disability types, with adjustments for BMI, grade level, and specific school setting. Table 4 shows that, compared with boys with severe ID, boys with VI and SD problems had significantly more MVPA min (VI: b = 16.17; 95% confidence interval [CI], 7.05–25.05; SD problems: b = 18.00; 95% CI, 8.91–27.08) and less ST (VI: b = −30.84; 95% CI, −45.54 to −16.15; SD problems: b = −28.37; 95% CI, −42.96 to −13.78) during PE. Similar differences in MVPA and ST were not found for recess and lunchtime (Tables 5 and 6); boys with severe ID, however, were more sedentary during lunchtime than boys with other disability types (Table 6). Among girls, those with VI spent more time in MVPA (b = 15.49; 95% CI, 8.08–22.90) and less ST (b = −24.02; 95% CI, −47.86 to −0.19) during PE lessons than those with severe ID (Table 4). Similar to boys with severe ID, girls with severe ID were more sedentary during lunchtime than girls with other disability types (except moderate ID) (Table 6).

TABLE 4

TABLE 4

TABLE 5

TABLE 5

TABLE 6

TABLE 6

After adjusting for sex, BMI, grade level, and wear time, results indicated that all three school settings contributed significantly to both overall MVPA and ST during the school day. Specifically, recess contributed significantly more to both overall MVPA and ST than PE and lunchtime. Comparatively, a 1-min increase in MVPA during recess (b = 1.24; 95% CI, 0.99 to 1.49) was associated with 1.24-min increase in daily MVPA at school, whereas a 1-min increase during PE (b = 1.11; 95% CI, 0.92 to 1.29) and lunchtime (b = 1.04; 95% CI, 0.77 to 1.31) was associated with 1.11 and 1.04 min increases, respectively. Similar findings were also obtained for boys and girls, with recess being contributing the most to overall MVPA (boys: b = 1.34; 95% CI, 1.02–1.66; girls: b = 1.05; 95% CI, 0.51–1.58), followed by PE (boys: b = 1.05; 95% CI, 0.82–1.29; girls: b = 1.02; 95% CI, 0.76–1.29), and lunchtime (boys: b = 1.04; 95% CI, 0.60 to 1.49; girls: b = 1.00; 95% CI, 0.69–1.32).

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DISCUSSION

Given the important role of schools in promoting children's PA, the accurate identification and assessment of PA opportunities conducive to increasing children's PA is critical to developing suitable school-based PA promotion strategies (3,21). Children's PA is greatly influenced by the immediate environment, and in Hong Kong, it is the policy that children with disabilities are educated in schools designed to address specific disabilities. To investigate school settings using the socioecological approach, this study is the first to examine the accelerometer-assessed PA and ST of children with different disability types across PE, recess, and lunch periods in Hong Kong special schools while adjusting for potential confounders. In addition, we also examined the relative contributions of these settings to children's overall MVPA and ST in schools.

Consistent with previous studies (19,30), the present investigation showed that children with disabilities accrued little MVPA (about 17 min) during all day at school—an amount far short of recommendations (14). Meanwhile, the children spent more than 70% of their overall time at school being sedentary. Despite small amounts of MVPA, children could possible reach PA recommendations if other school or off campus PA opportunities were provided. After adjusting for confounding variables, all three school settings contributed statistically significant to children’s MVPA and ST at school. Recess, however, contributed more MVPA than PE or lunchtime, confirming previous evidence that recess at school accommodates more PA accrual than PE (12,30). Observations in these three settings suggest there is potential for increasing the amount PA provided there without increasing session length (e.g., via improved management and provision of loose equipment).

Previous studies have shown that PA levels vary as a function of both disability type and sex, with boys and children with hidden disabilities (e.g., SD problems) being more physically active than their counterparts (27,30). When compared with the total daily MVPA and ST at school across the disability types, boys with mild ID, moderate ID, and SD problems were found to be more active than boys with severe ID. The severity of disability relates to children's PA (27), and special schools that provide more social and environmental support for PA are likely to promote more PA (19,29). Meanwhile, children with severe ID, the least active group, should be considered to be at a greater risk for developing chronic diseases associated with physical inactivity and be a priority target group for PA interventions (16).

Children's MVPA and ST differed across the three school settings. During PE, boys with VI and SD problems had more MVPA and less ST than boys with severe ID. Similarly, girls with VI also had more MVPA and less ST than their female peers with severe ID. Compared with those with other disabilities, children with VI were found to be more active in the present study, contrary to earlier Sit et al. (30) findings. In Hong Kong, the special school for children with VI provides boarding facilities and specially adapted facilities and educational services. It implements student-oriented teaching, cross-level subject instruction, and individual education plans that are embedded into the school-based curricula especially designed to master the subjects and skill learning (8). It was also interesting to find that boys with VI were more active than their peers with severe ID during lunchtime. Determining what is exactly done to promote activity accrual for children with VI during PE and lunchtime periods in this school will require further investigation.

We had originally planned to analyze the data for all structured PA programs on the campuses, including those provided before/after school; schools, however, rarely provided PA sessions other than during PE, recess, and lunchtime. Not only did children have low MVPA and high ST across these three settings, they accrued only about 17 MVPA minutes throughout the school day. Thus, the entire school day needs to be targeted for intervention, not just the three specific settings. These interventions should focus on replacing ST with time spent moving, with higher intensity PA more likely to lead to greater health benefits (14).

There are numerous strengths to the study, including using accelerometry to objectively assess both the PA and ST of children with disabilities while controlling for confounders; separating the school day into three specific structured settings; and the recruitment of a large sample size representative of 22% of special school population in Hong Kong. Study limitations include a cross-sectional nature that prohibits detecting cause-and-effect relationships and the sample being from special schools only. Children attending mainstreamed/inclusive schools were not included, thus reducing generalizability of the results. Additionally, few structured before and after school PA programs and active rehabilitation sessions at the 13 schools prohibited an examination all the different possibilities where PA might occur at schools.

To the best of our knowledge, this is the first study to examine both the MVPA and ST of children among different disability types using accelerometry at schools. Overall children were very inactive at school, and an increase in their PA is much needed. Intervention studies to increase PA in schools among those with disabilities have not been conducted in Hong Kong, but changes in the school physical (e.g., increased play area usability and provision of equipment) and social (e.g., teacher support for PA) setting offer potential (13,20). We believe there is potential for the adaptation of evidence-based strategies shown to be effective with children without disabilities to those with special needs (25). Meanwhile, this segment of the population remains under-researched relative to sedentary-related problems, and we believe it should receive priority in the development and assessment of cost-effective, feasible interventions to improve their PA opportunities.

This study was supported by the General Research Fund (GRF) from the Research Grants Council (RGC) of the Government of the Hong Kong Special Administrative Region, China (GRF752712). The third author is supported by an Australian Research Council Future Fellowship (FT 140100085). We declare that the results of the study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation. The results do not constitute endorsement by the American College of Sports Medicine. The authors declare that they have no conflict of interest.

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REFERENCES

1. Beets MW, Beighle A, Erwin HE, Huberty JL. After-school program impact on physical activity and fitness: a meta-analysis. Am J Prev Med. 2009;36(6):527–37.
2. Bingham DD, Boddy LM, Ridgers ND, Stratton G. The physical activity levels and play behaviours of children with special needs: an exploratory cross-sectional study. Arch Exerc Health Dis. 2015;5(1–2):359–65.
3. Bocarro JN, Kanters MA, Cerin E, et al. School sport policy and school-based physical activity environments and their association with observed physical activity in middle school children. Health Place. 2012;18(1):31–8.
4. Capio CM, Sit CHP, Abernethy B. Physical activity measurement using MTI (Actigraph) among children With cerebral palsy. Arch Phys Med Rehabil. 2010;91(8):1283–90.
5. Capio CM, Sit CHP, Eguia KF, Abernethy B, Masters RSW. Fundamental movement skills training to promote physical activity in children with and without disability: a pilot study. J Sport Health Sci. 2015;4(3):235–43.
6. Clanchy KM, Tweedy SM, Boyd RN, Trost SG. Validity of accelerometry in ambulatory children and adolescents with cerebral palsy. Eur J Appl Physiol. 2011;111:2951–9.
7. Curriculum Development Council. Physical education: Key learning area curriculum guide (primary 1 to secondary 3). In. Hong Kong SAR: Education Bureau; 2002.
8. Ebenezer School [Internet]. Ebenezer School; [cited 2016 May 11]. Available from: http://www.ebenezer-es.edu.hk/EbenezerSchool/eng/learningNTeaching.asp.
9. Education Bureau. School Education Statistics Section. Student enrollment statistics, 2013/14. In. Hong Kong SAR: Education Bureau; 2014.
10. Einarsson IÓ, Olafsson Á, Hinriksdóttir G, Jóhannsson E, Daly D, Arngrímsson SÁ. Differences in physical activity among youth with and without intellectual disability. Med Sci Sports Exerc. 2015;47(2):411–8.
11. 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(14):1557–65.
12. Falson-Hodge J, Porretta DL. Physical activity levels of students with mental retardation and students without disabilities. Adapt Phys Activ Q. 2004;21(2):139–52.
13. Huberty JL, Beets MW, Beighle A, Saint-Maurice PF, Welk G. Effects of ready for recess, an environmental intervention, on physical activity in third-through sixth-grade children. J Phys Act Health. 2014;11(2):384–95.
14. Institute of Medicine. Educating the Student Body: Taking Physical Activity and Physical Education to School. Washington, DC: The National Academies Press; 2013. p. 366.
15. Langille JLD, Rodgers WM. Exploring the influence of a social ecological model on school-based physical activity. Health Educ Behav. 2010;37(6):879–94.
16. Lin JD, Lin PY, Lin LP, Chang YY, Wu SR, Wu JL. Physical activity and its determinants among adolescents with intellectual disabilities. Res Dev Disabil. 2010;31(1):263–9.
17. National Association for Sport and Physical Education [Internet]. Reston, VA: National Association for Sport and Physical Education; [cited 2016 Apr 30]. Available from: http://www.shapeamerica.org/advocacy/positionstatements/pa/upload/Recess-for-Elementary-School-Students.pdf.
18. Neter JE, Schokker DF, de Jong E, Renders CM, Seidell JC, Visscher TLS. The prevalence of overweight and obesity and its determinants in children with and without disabilities. J Pediatr. 2011;158(5):735–9.
19. Pan CY, Liu CW, Chung IC, Hsu PJ. Physical activity levels of adolescents with and without intellectual disabilities during physical education and recess. Res Dev Disabil. 2015;36:579–86.
20. Parrish AM, Okely AD, Stanley RM, Ridgers ND. The effect of school recess interventions on physical activity: a systematic review. Sports Med. 2013;43(4):287–99.
21. Pate RR, Davis MG, Robinson TN, et al. Promoting physical activity in children and youth: a leadership role for schools: a scientific statement from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism (Physical Activity Committee) in collaboration with the Councils on Cardiovascular Disease in the Young and Cardiovascular Nursing. Circulation. 2006;114(11):1214–24.
22. Rabani AS, Harries N, Namoora I, Al-Jarrah MD, Karniel A, Bar-Haim S. Duration and patterns of habitual physical activity in adolescents and young adults with cerebral palsy. Dev Med Child Neurol. 2014;56(7):673–80.
23. Ridgers ND, Stratton G, Fairclough SJ. Physical activity levels of children during school playtime. Sports Med. 2006;36(4):359–71.
24. Rimmer JH, Marques AC. Physical activity for people with disabilities. Lancet. 2012;380(9838):193–5.
25. Rimmer JH, Vanderbom KA, Bandini LG, et al. GRAIDs: a framework for closing the gap in the availability of health promotion programs and interventions for people with disabilities. Implement Sci. 2014;9:100.
26. Ryan JM, Forde C, Hussey JM, Gormley J. Comparison of patterns of physical activity and sedentary behavior between children with cerebral palsy and children with typical development. Phys Ther. 2015;95(12):1609–16.
27. Sit CHP, Lindner KJ, Sherrill C. Sport participation of Hong Kong Chinese children with disabilities in special schools. Adapt Phys Act Q. 2002;19(4):453–71.
28. Sit CHP, McKenzie TL, Cerin E, McManus A, Lian J. Physical activity for children in special school environment. Hong Kong Med J. 2013;19(4 Suppl):42–4.
29. Sit CHP, McKenzie TL, Lian JM, McManus A. Activity levels during physical education and recess in two special schools for children with mild intellectual disabilities. Adapt Phys Activ Q. 2008;25(3):247–59.
30. Sit CHP, McManus A, McKenzie TL, Lian J. Physical activity levels of children in special schools. Prev Med. 2007;45(6):424–31.
31. Trost SG, Rosenkranz RR, Dzewaltowski D. Physical activity levels among children attending after-school programs. Med Sci Sports Exerc. 2008;40(4):622–9.
32. U.S. Department of Health and Human Services [Internet]. Washington, DC: Physical activity guidelines for Americans midcourse report: Strategies to increase physical activity among youth; [cited 2016 May 15]. Available from: http://www.health.gov/paguidelines/midcourse/pag-mid-course-reportfinal.pdf.
33. U.S. Department of Health and Human Services [Internet]. Washington, DC: U.S. Department of Health and Human Services; [cited 2016 Apr 30]. Available from: https://www.healthypeople.gov/2020/topics-objectives.
34. World Health Organization [Internet]. Geneva (Switzerland): World Health Organization; [cited 2016 Apr 30]. Available from: http://whqlibdoc.who.int/hq/2003/WHO_NMH_NPH_PAH_03.2.pdf.
35. World Health Organization [Internet]. Geneva (Switzerland): World Health Organization; [cited 2016 Apr 30]. Available from: http://www.who.int/dietphysicalactivity/SPF-en-2008.pdf.
Keywords:

ACCELEROMETER; HEALTH; YOUTH; SPECIAL NEEDS; RECESS; PHYSICAL EDUCATION

© 2017 American College of Sports Medicine