Overweight, obesity, steps, and moderate to vigorous physical activity in children

Luis Carlos Oliveira Gerson Luis de Moraes Ferrari Timóteo Leandro Araújo Victor Matsudo About the authors

ABSTRACT

OBJECTIVE

The objective of this study is to establish cutoff points for the number of steps/day and minutes/day of moderate to vigorous physical activity in relation to the risk of childhood overweight and obesity and their respective associations. In addition, we aim to identify the amount of steps/day needed to achieve the recommendation of moderate to vigorous physical activity in children from São Caetano do Sul.

METHODS

In total, 494 children have used an accelerometer to monitor steps/day and the intensity of physical activity (min/day). The moderate to vigorous physical activity has been categorized according to the public health recommendation (≤ 60 versus > 60 min/day). Overweight or obesity is defined as body mass index > +1 SD, based on reference data from the World Health Organization. The data on family income, education of parents, screen time, diet pattern, and sedentary time have been collected by questionnaires. Logistic regression and Receiver Operating Characteristic curves have been constructed.

RESULTS

On average, boys walked more steps/day (1,850) and performed more min/day of moderate to vigorous physical activity (23.1) than girls. Overall, 51.4% of the children have been classified as eutrophic and 48.6% as overweight or obese. Eutrophic boys walked 1,525 steps/day and performed 18.6 minutes/day more of moderate to vigorous physical activity than those with overweight/obesity (p < 0.05). The same has not been found in girls (p > 0.05). The cutoff points to prevent overweight and obesity in boys and girls were 10,500 and 8,500 steps/day and 66 and 46 min/day of moderate to vigorous physical activity, respectively. The walking of 9,700 steps/day for boys and 9,400 steps/day for girls ensures the scope of the recommendation of moderate to vigorous physical activity.

CONCLUSIONS

In boys, steps/day and moderate to vigorous physical activity have been negatively associated with body mass index, regardless of race, family income, education of parents, screen time, diet pattern, and sedentary time. We suggest, for steps/day and moderate to vigorous physical activity, studies with different ages and populations, with different designs, so as to inform the cause and effect relationship with various health parameters.

Child; Walking, classification; Motor Activity; Overweight, prevention & control; Pediatric Overweight, prevention & control

INTRODUCTION

The increasing prevalence of overweight and obesity in children around the world is a critical public health problem that has encouraged Governments to consider different strategies to reduce obesity in the population11. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384(9945):766-81. https://doi.org/10.1016/S0140-6736(14)60460-8.
https://doi.org/10.1016/S0140-6736(14)60...
. The National Survey of School Health (2010) has reported that 33.5% of Brazilian children were overweight, and 16.6% of boys and 11.8% of the girls were obese22. Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares (POF) 2008-2009: antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro: IBGE; 2010 [citado 16 fev 2017]. Disponível em: http://biblioteca.ibge.gov.br/visualizacao/livros/liv45419.pdf
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.

The beneficial effect of regular physical activity on the health of children is well established33. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247-57. https://doi.org/10.1016/S0140-6736(12)60646-1.
https://doi.org/10.1016/S0140-6736(12)60...
,44. Ekelund U, Luan J, Sherar LB, Esliger DW, Griew P, Cooper A, et al. Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA. 2012;307(7):704-12. https://doi.org/10.1001/jama.2012.156.
https://doi.org/10.1001/jama.2012.156...
. Increased physical activity has been associated with improvements in cardiovascular risk factors44. Ekelund U, Luan J, Sherar LB, Esliger DW, Griew P, Cooper A, et al. Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA. 2012;307(7):704-12. https://doi.org/10.1001/jama.2012.156.
https://doi.org/10.1001/jama.2012.156...
. Therefore, the objective measurement of physical activity using accelerometers is important, both for surveillance purposes and in the evaluation of the effectiveness of public health interventions, because it provides detailed data, such as the number of steps/day and moderate to vigorous physical activity (MVPA). The use of accelerometers has become more common in research studies on physical activity in childhood in high-income countries33. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247-57. https://doi.org/10.1016/S0140-6736(12)60646-1.
https://doi.org/10.1016/S0140-6736(12)60...
,55. 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. https://doi.org/10.1186/1471-2458-13-900.
https://doi.org/10.1186/1471-2458-13-900...
. On the other hand, there are relatively few studies that have used this technology in low-and middle-income countries, such as Brazil66. Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, et al. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in Brazilian children. Pediatr Exerc Sci. 2015;27(3):380-9. https://doi.org/10.1123/pes.2014-0150.
https://doi.org/10.1123/pes.2014-0150...
.

A cumulative record of steps and minutes performed throughout the day are adequate markers to control the accumulation of daily physical activity in youth, as it has been the focus of public health guidelines33. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247-57. https://doi.org/10.1016/S0140-6736(12)60646-1.
https://doi.org/10.1016/S0140-6736(12)60...
,77. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
http://apps.who.int/iris/bitstream/10665...
,88. Tudor-Locke C, Craig CL, Beets MW, Belton S, Cardon GM, Duncan S, et al. How many steps/day are enough? for children and adolescents. Int J Behav Nutr Phys Act. 2011;8:78. https://doi.org/10.1186/1479-5868-8-78.
https://doi.org/10.1186/1479-5868-8-78...
. The recommendations establish that children and adolescents of both genders should walk at least 12,000 steps/day99. Colley RC, Janssen I, Tremblay MS. Daily step target to measure adherence to physical activity guidelines in children. Med Sci Sports Exerc. 2012;44(5):977-82. https://doi.org/10.1249/MSS.0b013e31823f23b1.
https://doi.org/10.1249/MSS.0b013e31823f...
or accumulate at least 60 min/day of MVPA77. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
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. In addition, Tudor-Locke et al.1010. Tudor-Locke C, Pangrazi RP, Corbin CB, Rutherford WJ, Vincent SD, Raustorp A, et al. BMI-referenced standards for recommended pedometer-determined steps/day in children. Prev Med. 2004;38(6):857-64. https://doi.org/10.1016/j.ypmed.2003.12.018.
https://doi.org/10.1016/j.ypmed.2003.12....
have proposed different values for boys (15,000 steps/day) and girls (12,000 steps/day) in order to prevent childhood overweight and obesity, measured by body mass index (BMI).

Evidence shows negative association between steps/day and MVPA (objectively measured) and adiposity66. Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, et al. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in Brazilian children. Pediatr Exerc Sci. 2015;27(3):380-9. https://doi.org/10.1123/pes.2014-0150.
https://doi.org/10.1123/pes.2014-0150...
,1111. Jimenez-Pavón D, Kelly J, Reilly JJ. Associations between objectively measured habitual physical activity and adiposity in children and adolescents: systematic review. Int J Pediatr Obes. 2010;5(1):3-18. https://doi.org/10.3109/17477160903067601.
https://doi.org/10.3109/1747716090306760...
,1212. Basterfield L, Pearce MS, Adamson AJ, Frary JK, Parkinson KN, Wright CM, et al. Physical activity, sedentary behavior, and adiposity in English children. Am J Prev Med. 2012;42(5):445-51. https://doi.org/10.1016/j.amepre.2012.01.007.
https://doi.org/10.1016/j.amepre.2012.01...
. Several research studies66. Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, et al. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in Brazilian children. Pediatr Exerc Sci. 2015;27(3):380-9. https://doi.org/10.1123/pes.2014-0150.
https://doi.org/10.1123/pes.2014-0150...
,1212. Basterfield L, Pearce MS, Adamson AJ, Frary JK, Parkinson KN, Wright CM, et al. Physical activity, sedentary behavior, and adiposity in English children. Am J Prev Med. 2012;42(5):445-51. https://doi.org/10.1016/j.amepre.2012.01.007.
https://doi.org/10.1016/j.amepre.2012.01...
,1313. Michalopoulou M, Gourgoulis V, Kourtessis T, Kambas A, Dimitrou M, Gretziou H. Step counts and body mass index among 9-14 years old greek schoolchildren. J Sports Sci Med. 2011 [citado 14 fev 2017];10(1):215-21. Disponível em: http://www.jssm.org/researchjssm-10-215.xml.xml
http://www.jssm.org/researchjssm-10-215....
have found negative relationship between steps/day and BMI and body fat percentage (%BF). Basterfield et al.1212. Basterfield L, Pearce MS, Adamson AJ, Frary JK, Parkinson KN, Wright CM, et al. Physical activity, sedentary behavior, and adiposity in English children. Am J Prev Med. 2012;42(5):445-51. https://doi.org/10.1016/j.amepre.2012.01.007.
https://doi.org/10.1016/j.amepre.2012.01...
have reported greater time spent in MVPA in boys than in girls (28 versus 21 min/day). In addition, the authors have found associations between MVPA and fat mass index and BMI in boys; however, in girls, the authors have found no association. Jimenez-Pavon et al., in a systematic review, have concluded that MVPA was associated with variables of body composition more consistently in boys than in girls1111. Jimenez-Pavón D, Kelly J, Reilly JJ. Associations between objectively measured habitual physical activity and adiposity in children and adolescents: systematic review. Int J Pediatr Obes. 2010;5(1):3-18. https://doi.org/10.3109/17477160903067601.
https://doi.org/10.3109/1747716090306760...
.

Nevertheless, the question about how many steps/day and min/day of MVPA are required to prevent overweight and obesity in children of low- and middle-income countries remains to be elucidated, since research studies that use objective instruments to measure physical activity in Brazilian children are still scarce. In a literature review, Tudor-Locke et al.88. Tudor-Locke C, Craig CL, Beets MW, Belton S, Cardon GM, Duncan S, et al. How many steps/day are enough? for children and adolescents. Int J Behav Nutr Phys Act. 2011;8:78. https://doi.org/10.1186/1479-5868-8-78.
https://doi.org/10.1186/1479-5868-8-78...
have found no Brazilian study that has used objective methods to quantify the steps/day necessary to attain the MVPA guidelines77. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
http://apps.who.int/iris/bitstream/10665...
. Therefore, the objectives of this study were: 1) to establish cutoff points for the number of steps/day and min/day of MVPA in relation to the risk of overweight and obesity and their respective associations, and 2) to identify the amount of steps/day needed to achieve the recommendation of MVPA77. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
http://apps.who.int/iris/bitstream/10665...
in children from São Caetano do Sul.

METHODS

This study is part of the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) carried out in twelve countries, involving the five major geographical regions of the world. Details of the protocol and sampling calculation of the ISCOLE are described in another publication55. 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. https://doi.org/10.1186/1471-2458-13-900.
https://doi.org/10.1186/1471-2458-13-900...
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This study focuses on data collected by ISCOLE Brazil, carried out in the city of São Caetano do Sul, State of São Paulo, Brazil, with a territorial area of 15.3 km2. In 2013, the population of the municipality aged 10 years consisted of 1,557 children (812 boys)1414. Instituto Brasileiro de Geografia e Estatística. Indicadores sociais municipais: uma análise dos resultados do universo do censo demográfico 2010. Rio de Janeiro: IBGE; 2011 [citado 25 jun 2012]. (Estudos e Pesquisas. Informação Demográfica e Socioeconômica, 28). Disponível em: http://biblioteca.ibge.gov.br/visualizacao/livros/liv54598.pdf
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. Initially, the Municipal Education Department was contacted and, upon approval, the project was implemented in schools, and children in the fifth grade of the elementary school were invited to be part of the study.

Data collection took place between March 2012 and April 2013 and all evaluations were performed during one full week per school. All activities of data collection and management were carried out and monitored by the coordinating center of ISCOLE55. 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. https://doi.org/10.1186/1471-2458-13-900.
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For the selection of schools, we generated random lists of public and private schools of the municipality, and we selected schools from each list in the proportion of four public schools to one private school. In the case of refusal to participate in the project by the school, it was replaced by the following school in the list. In total, sixteen public and four particular schools participated in the research, with a sample of 25-30 children per school.

In total, 564 children (277 boys) were evaluated and met the following inclusion criteria: (a) being aged between nine and eleven years, (b) being regularly enrolled in a school of the municipality, and (c) having no clinical or functional conditions that limited the practice of daily physical activity. The exclusion criteria adopted were: invalid data of the accelerometry and anthropometry. The parents or guardians signed the informed consent and the study was approved by the Ethics Committee of the Universidade Federal de São Paulo (Process 332,529, July 12, 2013).

The accelerometer Actigraph GT3X was used to monitor objectively the steps/day, the MVPA, and the sedentary time. The accelerometer was used in the waist in an elastic belt, in the axillary line on the right side. Participants were encouraged to use the accelerometer 24 hours/day for at least seven days (plus one day of initial familiarization and on the morning of the last day), including two days in the weekend. The minimum amount of accelerometer data considered as acceptable was four days (including at least one weekend day), with at least 10 hours/day of use, after removing for sleep1515. Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc. 2011;43(7):1360-8. https://doi.org/10.1249/MSS.0b013e318206476e.
https://doi.org/10.1249/MSS.0b013e318206...
,1616. Colley R, Connor Gorber S, Tremblay MS. Quality control and data reduction procedures for accelerometry-derived measures of physical activity. Health Rep. 2010 [citado 16 fev 2017];21(1):63-9. Disponível em: http://www.statcan.gc.ca/pub/82-003-x/2010001/article/11066-eng.pdf
http://www.statcan.gc.ca/pub/82-003-x/20...
. Blocks of 20 consecutive minutes with zero count were considered as non-use of the equipment and removed from the analyses.

After the last day of data collection, the team went to the school to remove the accelerometers. We used the software Actilife, version 5.6. Nine participants who did not provide sufficient data for the initial monitoring used the accelerometer in the second week to ensure that the minimum data requirements were met. The data were collected at a sampling rate of 80 Hz, downloaded in periods of one second, and aggregated for periods of 15 seconds1717. 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. https://doi.org/10.1080/02640410802334196.
https://doi.org/10.1080/0264041080233419...
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We used counts for the cutoff points of accelerometers established by Evenson et al.1717. 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. https://doi.org/10.1080/02640410802334196.
https://doi.org/10.1080/0264041080233419...
for periods of 15 seconds. We use the cutoff point of ≤ 25 counts/15 seconds for sedentary time and ≥ 574 counts/15 seconds for MVPA1717. 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. https://doi.org/10.1080/02640410802334196.
https://doi.org/10.1080/0264041080233419...
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Height, body weight, and BMI were measured according to previously standardized procedures55. 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. https://doi.org/10.1186/1471-2458-13-900.
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. Height was measured with the children without shoes using a portable stadiometer, Seca 213, with the head facing the Frankfurt plane. Body mass was measured using a scale, Tanita SC-240, portable analyzer of body composition, after removing heavy items from pockets, shoes, and socks1818. Barreira TV, Staiano AE, Katzmarzyk PT. Validity assessment of a portable bioimpedance scale to estimate body fat percentage in white and African-American children and adolescents. Pediatric Obes. 2013;8(2):e29-32. https://doi.org/10.1111/j.2047-6310.2012.00122.x.
https://doi.org/10.1111/j.2047-6310.2012...
. Two measurements were obtained, and the average was used for analysis. If the first two measurements had a difference greater than 0.5 kg or 2% of body mass, a third measurement was carried out.

The BMI was obtained by dividing body weight in kilograms (kg) by height in meters squared (m2). The BMI of the children from the study was compared to the BMI of growth curves of the World Health Organization (WHO) made for children and adolescents according to age and gender, and converted into standard deviation (SD) of the median1919. 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(9):660-7. https://doi.org/10.2471/BLT.07.043497.
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. With this, the values proposed by the WHO were used as classification criteria and participants were classified into eutrophic (< +1 SD) and overweight or obese (≥ +1 SD)1919. 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(9):660-7. https://doi.org/10.2471/BLT.07.043497.
https://doi.org/10.2471/BLT.07.043497...
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A parent or legal guardian was invited to fill in the Neighborhood and Home Environment Questionnaire, which included questions related to the health history of the child, annual household income, and the educational level of the parents55. 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. https://doi.org/10.1186/1471-2458-13-900.
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. Annual family income (R$) was classified into four categories that represent increasing levels of income. The level of combined education of the parents (highest level of any of the parents) was used from the combination of both responses of the parents.

The Diet and Lifestyle Questionnaire was used to collect data related to food consumption, sedentary behaviors, and screen time of the children55. 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. https://doi.org/10.1186/1471-2458-13-900.
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. The children completed the questionnaire related to the consumption of 23 food items in a regular week. To identify existing food patterns, we conducted a principal component analysis (PCA), considering the food items as input variables. The PCA was performed with the varimax orthogonal transformation to force the non-correlation and to improve interpretation. Two factors were identified: unhealthy diet pattern (fast food, French fries, ice cream, pastries, pies, sweets, among others) and standard healthy diet (vegetables, orange, fruit juice, fruits, among others). Both scores were considered separately and addressed as continuous variables. The highest values for each score represent an unhealthy or healthy diet pattern, respectively.

The children were asked how many hours they usually watch TV, play video games, or use the computer during the week and in the weekend55. 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. https://doi.org/10.1186/1471-2458-13-900.
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. Total screen time was calculated by adding the time for TV and video or computer games.

We performed a descriptive analysis, and the Kolmogorov-Smirnov test was used to evaluate the distribution of the data. We used Student’s t-test for independent samples and chi-square test for categorical variables.

The predictive power and the cutoff points of steps/day and MVPA (min/day) for the prevention of overweight and obesity were identified using the Receiver Operating Characteristic (ROC) curves. Initially, we identified the total area under the ROC curve between the number of steps/day, MVPA (min/day), and the prevention of overweight and obesity. The bigger the area under the ROC curve the greater the discriminatory power, and we also used a 95% confidence interval (95%CI). The calculation of the 95%CI determines whether the predictive capability is not due to chance, and its limit must be greater than 0.502020. Schisterman EF, Faraggi D, Reiser B, Trevisan M. Statistical inference for the area under the receiver operating characteristic curve in the presence of random measurement error. Am J Epidemiol. 2001;154(2):174-9. https://academic.oup.com/aje/article-lookup/doi/10.1093/aje/154.2.174.
https://academic.oup.com/aje/article-loo...
. Then, we calculated sensitivity and specificity, as well as cutoff points for the number of steps/day and MVPA for the prevention of overweight and obesity. We also present the areas under the ROC curve for the identification of the steps/day needed to achieve the recommendation of MVPA (≤ 60 versus > 60 min/day)77. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
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.

The cutoff points found for the number of steps/day and MVPA (min/day) were used to create new dichotomous variables (below and above the cutoff point). These variables were considered as independent variables in logistic regression models, to quantify the effect that the number of steps and minutes of MVPA above the cutoff points have on the risk of overweight and obesity. Models were made separated by gender, unadjusted and adjusted for race, income, education of parents, screen time, unhealthy and healthy diet, and sedentary time. The effects of the regression models were evaluated by odds ratio (OR) and their 95%CI. We used the Statistical Package for the Social Sciences (SPSS, version 22.0) for the analyses, considering a significance level of 5%2121. Field A. Descobrindo a estatistica usando o SPSS. 2. ed. Porto Alegre: Artmed; 2009..

RESULTS

The sample consisted of 494 children (242 boys). There was no difference between the genders for average age and race. On average, boys used the accelerometer 14 min/day more than girls (p < 0.05). However, we found no significant differences between the genders in the number of days of use of the accelerometer. For the total number of steps/day and MVPA, the boys walked on average 1,850 steps/day and performed 23.1 min/day more of MVPA than girls (p < 0.05). Regarding sedentary time, boys had on average 15.2 min/day more than girls (Table 1).

Table 1
Descriptive analysis of accelerometry, anthropometry, family income, education of parents, screen time, and diet pattern of children from São Caetano do Sul, State of São Paulo, Brazil.

We found significant differences in average body mass and BMI according to gender: boys showed higher values than the girls. Almost half (48.6%) of the children were overweight or obese. As for height, no significant differences were observed (Table 1).

Most of the families had annual income of less than R$19,620.00 (38.4%) and parents who had completed high school or college (53.8%). For these variables, no significant differences were found (Table 1).

On average, boys had more total screen time (26.4 min/day) and video/computer games (24.6 min/day) than girls. No difference was found between genders for TV time. The unhealthy diet pattern of boys was, on average, statistically higher than the pattern of girls. The same did not occur for the healthy diet pattern (Table 1).

On average, boys classified as eutrophic walked 1,525 steps/day and performed 18.6 minutes/day of MVPA more than boys with overweight or obesity. Among the girls, the eutrophic ones walked, on average, 500 steps/day and performed 3.82 minutes/day of MVPA more than girls with overweight or obesity, but the differences were not significant (Table 2).

Table 2
Comparison (n, average, and SD) of the number of steps/day and moderate to vigorous physical activity (min/day) according to school children classified as eutrophic and overweight/obese.

In boys, the area under the ROC curve shows that the number of steps has good capacity to discriminate eutrophic boys from those with overweight or obesity. The cutoff point for steps/day found (10,502) ensures a sensitivity of 66.7% and a specificity of 64.8%. In girls, the discriminatory capacity was lower and the cutoff point found (8,540) indicates low values of sensitivity (58.1%) and specificity (55.1%).

The MVPA (min/day) had better ability to discriminate boys classified as eutrophic from those with overweight or obesity with a cutoff point of 66.70 min/day, showing sensitivity of 65.3% and specificity of 63.6%. In girls, the ability to discriminate girls classified as eutrophic from those with overweight or obesity was smaller, with cutoff of 46.59 min/day, sensitivity of 55.6%, and specificity of 54.6%, respectively.

Table 3 shows the results of the logistic regression models, with the dichotomous variables as the independent variables from the cutoff points of Figure 1, and the BMI as the dependent variable. Only in boys the number of steps/day and the min/day of MVPA had significant effect on the classification of BMI.

Table 3
Logistic regression models for the study of the influence of the number of steps/day and moderate to vigorous physical activity (min/day) in overweight/obesity (dependent variable: 0 = eutrophic, 1 = overweight or obese).

Figure 1
Area under the ROC curve, 95%CI, cutoff points, sensitivity, and specificity for overweight/obesity from the number of steps/day (A: boys; B: girls) and moderate to vigorous physical activity (min/day; C: boys; D: girls) of children. São Caetano do Sul, State of São Paulo, Brazil.

Boys with more than 10,502 steps/day were 79.3% less likely to be classified as overweight or obese, regardless of race, income, education of parents, screen time, diet pattern, and sedentary time. As for MVPA (min/day), considering the adjusted effect, boys were 67.2% less likely to be classified as overweight or obese (Table 3).

In Figure 2, we present the areas under the ROC curve for the identification of the number of steps/day needed to achieve the recommendation of 60 min/day of MVPA77. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
http://apps.who.int/iris/bitstream/10665...
. In both genders, the amount of steps/day has an excellent ability to discriminate those who comply from those who do not comply with the recommendation of MVPA77. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
http://apps.who.int/iris/bitstream/10665...
. In the case of boys, 9,703 steps/day ensures over 60 min/day of MVPA. In girls, 9,445 steps/day ensures 60 min/day of MVPA.

Figure 2
Area under the ROC curve, 95%CI, cutoff points, sensitivity, and specificity of the number of steps/day as the discriminator for the recommendation of MVPA (≤ 60 versus > 60 min/day)7 of children. São Caetano do Sul, State of São Paulo, Brazil.

DISCUSSION

Based on the objectives proposed, we could establish cutoff points for the number of steps/day and min/day of MVPA in relation to the risk of overweight and obesity and their respective associations, as well identify the amount of steps/day needed to achieve the recommendation of MVPA77. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
http://apps.who.int/iris/bitstream/10665...
in children from São Caetano do Sul. The results showed a good discriminatory power for the number of steps/day and MVPA for the prevention of overweight/obesity in boys. Boys who reached the cutoff points (10,502 steps/day and 66.70 min/day of MVPA) had lower risks of being classified as overweight/obese. In girls, the numbers of steps/day and MVPA revealed low discriminatory power, leading to the identification of a cutoff point (8,540 steps/day and 46.59 min/day) with low sensitivity and specificity. In addition, we show a negative association between steps/day and MVPA with overweight/obesity in boys. In both genders, the amount of steps/day has an excellent ability to discriminate those who comply from those who do not comply with the recommendation of MVPA88. Tudor-Locke C, Craig CL, Beets MW, Belton S, Cardon GM, Duncan S, et al. How many steps/day are enough? for children and adolescents. Int J Behav Nutr Phys Act. 2011;8:78. https://doi.org/10.1186/1479-5868-8-78.
https://doi.org/10.1186/1479-5868-8-78...
. In the case of boys, we found a cutoff point of 9,703 steps/day and for girls 9,445 steps/day.

The relevance of these results in the promotion of the physical activity and health of children is justified by several factors, such as the well-known effect of physical activity on cardiovascular risk of children44. Ekelund U, Luan J, Sherar LB, Esliger DW, Griew P, Cooper A, et al. Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA. 2012;307(7):704-12. https://doi.org/10.1001/jama.2012.156.
https://doi.org/10.1001/jama.2012.156...
and specifically on childhood obesity1313. Michalopoulou M, Gourgoulis V, Kourtessis T, Kambas A, Dimitrou M, Gretziou H. Step counts and body mass index among 9-14 years old greek schoolchildren. J Sports Sci Med. 2011 [citado 14 fev 2017];10(1):215-21. Disponível em: http://www.jssm.org/researchjssm-10-215.xml.xml
http://www.jssm.org/researchjssm-10-215....
. In a cross-sectional study with children from Greece and using pedometers to measure steps/day, Michalopoulou et al.1313. Michalopoulou M, Gourgoulis V, Kourtessis T, Kambas A, Dimitrou M, Gretziou H. Step counts and body mass index among 9-14 years old greek schoolchildren. J Sports Sci Med. 2011 [citado 14 fev 2017];10(1):215-21. Disponível em: http://www.jssm.org/researchjssm-10-215.xml.xml
http://www.jssm.org/researchjssm-10-215....
have found that eutrophic children of both genders walked more steps per day than those overweight1313. Michalopoulou M, Gourgoulis V, Kourtessis T, Kambas A, Dimitrou M, Gretziou H. Step counts and body mass index among 9-14 years old greek schoolchildren. J Sports Sci Med. 2011 [citado 14 fev 2017];10(1):215-21. Disponível em: http://www.jssm.org/researchjssm-10-215.xml.xml
http://www.jssm.org/researchjssm-10-215....
.

The cutoff points identified in this study for steps/day are below those proposed recently in other populations1010. Tudor-Locke C, Pangrazi RP, Corbin CB, Rutherford WJ, Vincent SD, Raustorp A, et al. BMI-referenced standards for recommended pedometer-determined steps/day in children. Prev Med. 2004;38(6):857-64. https://doi.org/10.1016/j.ypmed.2003.12.018.
https://doi.org/10.1016/j.ypmed.2003.12....
. In addition to BMI, the method used in this study, %BF has also been used to establish the cutoff point of steps/day. Duncan et al.2222. Duncan JS, Schofield G, Duncan EK. Step count recommendations for children based on body fat. Prev Med. 2007;44(1):42-4. https://doi.org/10.1016/j.ypmed.2006.08.009.
https://doi.org/10.1016/j.ypmed.2006.08....
have analyzed children from New Zealand, Polynesia, and Asia using %BF to classify children with overweight and they have found greater cutoff point values (16,000 steps/day for boys and 13,000 for girls) than our study. Tudor-Locke et al.1010. Tudor-Locke C, Pangrazi RP, Corbin CB, Rutherford WJ, Vincent SD, Raustorp A, et al. BMI-referenced standards for recommended pedometer-determined steps/day in children. Prev Med. 2004;38(6):857-64. https://doi.org/10.1016/j.ypmed.2003.12.018.
https://doi.org/10.1016/j.ypmed.2003.12....
and Duncan et al.2222. Duncan JS, Schofield G, Duncan EK. Step count recommendations for children based on body fat. Prev Med. 2007;44(1):42-4. https://doi.org/10.1016/j.ypmed.2006.08.009.
https://doi.org/10.1016/j.ypmed.2006.08....
have used pedometers to quantify the cutoff point of steps/day to prevent overweight and obesity. Despite the difference between pedometers and accelerometers, both have high values of concordance and validation2323. Barriera TV, Tudor-Locke C, Champagne CM, Broyles ST, Johnson WD, Katzmarzyk PT. Comparison of GT3X accelerometer and YAMAX pedometer steps/day in a free-living sample of overweight and obese adults. J Phys Act Health. 2013;10(2):263-70. https://doi.org/10.1123/jpah.10.2.263.
https://doi.org/10.1123/jpah.10.2.263...
to measure steps/day. Pedometers are inexpensive, reliable, and easy to use and interpret, providing only the amount of steps/day88. Tudor-Locke C, Craig CL, Beets MW, Belton S, Cardon GM, Duncan S, et al. How many steps/day are enough? for children and adolescents. Int J Behav Nutr Phys Act. 2011;8:78. https://doi.org/10.1186/1479-5868-8-78.
https://doi.org/10.1186/1479-5868-8-78...
,1010. Tudor-Locke C, Pangrazi RP, Corbin CB, Rutherford WJ, Vincent SD, Raustorp A, et al. BMI-referenced standards for recommended pedometer-determined steps/day in children. Prev Med. 2004;38(6):857-64. https://doi.org/10.1016/j.ypmed.2003.12.018.
https://doi.org/10.1016/j.ypmed.2003.12....
. On the other hand, accelerometers provide different intensities of physical activity and sedentary time33. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247-57. https://doi.org/10.1016/S0140-6736(12)60646-1.
https://doi.org/10.1016/S0140-6736(12)60...
,66. Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, et al. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in Brazilian children. Pediatr Exerc Sci. 2015;27(3):380-9. https://doi.org/10.1123/pes.2014-0150.
https://doi.org/10.1123/pes.2014-0150...
,1515. Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc. 2011;43(7):1360-8. https://doi.org/10.1249/MSS.0b013e318206476e.
https://doi.org/10.1249/MSS.0b013e318206...
.

The average of steps/day in children from other countries1010. Tudor-Locke C, Pangrazi RP, Corbin CB, Rutherford WJ, Vincent SD, Raustorp A, et al. BMI-referenced standards for recommended pedometer-determined steps/day in children. Prev Med. 2004;38(6):857-64. https://doi.org/10.1016/j.ypmed.2003.12.018.
https://doi.org/10.1016/j.ypmed.2003.12....
(15,118 and 12,552 steps/day in eutrophic and overweight boys, respectively; 12,290 and 11,217 steps/day in eutrophic and overweight girls, respectively) was superior to that found in our study (11,539 and 9,623 steps/day in eutrophic and overweight boys, respectively; and 8,925 and 8,491 steps/day in eutrophic and overweight girls, respectively). However, both studies have shown that eutrophic children of both genders walked, on average, more steps/day than those who were overweight. Negative association between MVPA and BMI has also been found previously by Ferrari et al.66. Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, et al. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in Brazilian children. Pediatr Exerc Sci. 2015;27(3):380-9. https://doi.org/10.1123/pes.2014-0150.
https://doi.org/10.1123/pes.2014-0150...

Regarding the comparison of steps/day and MVPA between boys and girls, our results (10,570 versus 8,720 steps/day; 71.33 versus 48.23 min/day) corroborate several studies66. Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, et al. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in Brazilian children. Pediatr Exerc Sci. 2015;27(3):380-9. https://doi.org/10.1123/pes.2014-0150.
https://doi.org/10.1123/pes.2014-0150...
,1010. Tudor-Locke C, Pangrazi RP, Corbin CB, Rutherford WJ, Vincent SD, Raustorp A, et al. BMI-referenced standards for recommended pedometer-determined steps/day in children. Prev Med. 2004;38(6):857-64. https://doi.org/10.1016/j.ypmed.2003.12.018.
https://doi.org/10.1016/j.ypmed.2003.12....
,1313. Michalopoulou M, Gourgoulis V, Kourtessis T, Kambas A, Dimitrou M, Gretziou H. Step counts and body mass index among 9-14 years old greek schoolchildren. J Sports Sci Med. 2011 [citado 14 fev 2017];10(1):215-21. Disponível em: http://www.jssm.org/researchjssm-10-215.xml.xml
http://www.jssm.org/researchjssm-10-215....
in which boys walked more steps/day and performed more MVPA than girls. Michalopoulou et al.1313. Michalopoulou M, Gourgoulis V, Kourtessis T, Kambas A, Dimitrou M, Gretziou H. Step counts and body mass index among 9-14 years old greek schoolchildren. J Sports Sci Med. 2011 [citado 14 fev 2017];10(1):215-21. Disponível em: http://www.jssm.org/researchjssm-10-215.xml.xml
http://www.jssm.org/researchjssm-10-215....
have used pedometers to evaluate steps/day and have noticed that boys walked on average more steps/day than girls (14,069 versus 11,536 steps/day)1313. Michalopoulou M, Gourgoulis V, Kourtessis T, Kambas A, Dimitrou M, Gretziou H. Step counts and body mass index among 9-14 years old greek schoolchildren. J Sports Sci Med. 2011 [citado 14 fev 2017];10(1):215-21. Disponível em: http://www.jssm.org/researchjssm-10-215.xml.xml
http://www.jssm.org/researchjssm-10-215....
.

Based on our findings, boys and girls should do at least 67.69 and 45.59 of MVPA (min/day) to have lower risks of overweight and obesity. The results of this study are in accordance with the findings of research studies66. Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, et al. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in Brazilian children. Pediatr Exerc Sci. 2015;27(3):380-9. https://doi.org/10.1123/pes.2014-0150.
https://doi.org/10.1123/pes.2014-0150...
,2424. Stabelini Neto A, Campos W, Santos GC, Mazzardo Junior O. Metabolic syndrome risk score and time expended in moderate to vigorous physical activity in adolescents. BMC Pediatr. 2014;14:42. https://doi.org/10.1186/1471-2431-14-42.
https://doi.org/10.1186/1471-2431-14-42...
performed previously regarding the negative association of steps/day and MVPA with anthropometry in boys. In girls, similar results were not found. Stabelini Neto et al.2424. Stabelini Neto A, Campos W, Santos GC, Mazzardo Junior O. Metabolic syndrome risk score and time expended in moderate to vigorous physical activity in adolescents. BMC Pediatr. 2014;14:42. https://doi.org/10.1186/1471-2431-14-42.
https://doi.org/10.1186/1471-2431-14-42...
, using accelerometers, recommend that Brazilian children should do 88 min/day of MVPA to avoid the risk of metabolic syndrome.

Physical activity guidelines are expressed in frequency, time, and intensity77. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
http://apps.who.int/iris/bitstream/10665...
. No published information can be found with Brazilian children concerning the amount of steps/day needed to achieve the recommendation of MVPA. In addition, the identification of the amount of steps/day walked in daily life helps in the recommendation of the amount of moderate physical activity, also included in the physical activity guidelines77. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
http://apps.who.int/iris/bitstream/10665...
,88. Tudor-Locke C, Craig CL, Beets MW, Belton S, Cardon GM, Duncan S, et al. How many steps/day are enough? for children and adolescents. Int J Behav Nutr Phys Act. 2011;8:78. https://doi.org/10.1186/1479-5868-8-78.
https://doi.org/10.1186/1479-5868-8-78...
. To represent a total amount of 60 min/day of MVPA, Rowlands and Eston2525. Rowlands AV, Eston RG. Comparison of accelerometer and pedometer measures of physical activity in boys and girls, ages 8-10 years. Res Q Exerc Sports. 2005;76(3):251-7. https://doi.org/10.1080/02701367.2005.10599296
https://doi.org/10.1080/02701367.2005.10...
have used accelerometers to evaluate the MVPA of children from the United Kingdom and they have arrived to 13,000 steps/day for boys and 12,000 steps/day for girls.

This study expands the existing literature concerning the amount of steps/day, min/day of MVPA, and overweight and obesity in children aged between nine and eleven years. The study has some strong points: objective measure of steps/day and MVPA by accelerometer, a modern method that evaluates physical activity and which requires technological knowledge, a rare approach in Brazil, since most studies use a questionnaire to evaluate physical activity; and control, in the analysis, of the effect of race, annual household income, education level of parents, screen time, and diet of the children. On the other hand, this study also presents some limitations: a) as it is cross-sectional, the cause and effect relationship is limited. We have also not ruled out a possible reverse causality in which children who are not overweight or obese may have more willingness and ability to have a greater amount of steps/day and min/day of MVPA above the proposed values in the study than those overweight or obese; b) the non-representativeness of the sample prevents the extrapolation of the data to Brazilian children and even to the municipality of São Caetano do Sul in itself. In addition, São Caetano do Sul has a high human development index (0.86)2626. Programa das Nações Unidas para o Desenvolvimento – PNUD. O Índice de desenvolvimento humano municipal brasileiro. Brasília (DF): PNUD, IPEA, FJV; 2013 [citado 14 fev 20217]. (Série Atlas do Desenvolvimento Humano no Brasil). Disponível em: http://www.ipea.gov.br/portal/images/stories/PDFs/130729_AtlasPNUD_2013.pdf
http://www.ipea.gov.br/portal/images/sto...
in relation to other cities in Brazil and other countries. Thus, the degree of generalization of the results for other regions is not yet known; c) the analysis carried out with children aged from nine to eleven years limits the extrapolation of the results to younger or older children; d) seasonal factors, such as rainfall and temperature, were not controlled.

This study shows that, in boys, steps/day and MVPA are negatively associated with BMI, regardless of race, annual family income, education of parents, screen time, diet pattern, and sedentary time.

The cutoff point values identified are useful in the monitoring and prescription of steps/day and MVPA in boys, aiming at achieving adequate levels of BMI. At least 10,502 steps/day or 66.70 min/day of MVPA are suggested for boys, in order to maintain an appropriate BMI. In girls, at least 8,540 steps/day or 46.59 min/day of MVPA are suggested. However, this value should be viewed with caution, since, in girls, the study showed low discriminatory power.

The walking of 9,703 steps/day for boys and 9,445 steps/day for girls ensures that the children will achieve the recommendation of MVPA of 60 min/day. We suggest, for steps/day and MVPA, studies with different ages and populations, with different designs, so as to inform the cause and effect relationship with various health parameters.

REFERENCES

  • 1
    Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384(9945):766-81. https://doi.org/10.1016/S0140-6736(14)60460-8
    » https://doi.org/10.1016/S0140-6736(14)60460-8
  • 2
    Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares (POF) 2008-2009: antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro: IBGE; 2010 [citado 16 fev 2017]. Disponível em: http://biblioteca.ibge.gov.br/visualizacao/livros/liv45419.pdf
    » http://biblioteca.ibge.gov.br/visualizacao/livros/liv45419.pdf
  • 3
    Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247-57. https://doi.org/10.1016/S0140-6736(12)60646-1
    » https://doi.org/10.1016/S0140-6736(12)60646-1
  • 4
    Ekelund U, Luan J, Sherar LB, Esliger DW, Griew P, Cooper A, et al. Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA. 2012;307(7):704-12. https://doi.org/10.1001/jama.2012.156
    » https://doi.org/10.1001/jama.2012.156
  • 5
    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. https://doi.org/10.1186/1471-2458-13-900
    » https://doi.org/10.1186/1471-2458-13-900
  • 6
    Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, et al. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in Brazilian children. Pediatr Exerc Sci. 2015;27(3):380-9. https://doi.org/10.1123/pes.2014-0150
    » https://doi.org/10.1123/pes.2014-0150
  • 7
    World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010 [citado 16 fev 2017]. Disponível em: http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
    » http://apps.who.int/iris/bitstream/10665/44399/1/9789241599979_eng.pdf
  • 8
    Tudor-Locke C, Craig CL, Beets MW, Belton S, Cardon GM, Duncan S, et al. How many steps/day are enough? for children and adolescents. Int J Behav Nutr Phys Act 2011;8:78. https://doi.org/10.1186/1479-5868-8-78
    » https://doi.org/10.1186/1479-5868-8-78
  • 9
    Colley RC, Janssen I, Tremblay MS. Daily step target to measure adherence to physical activity guidelines in children. Med Sci Sports Exerc. 2012;44(5):977-82. https://doi.org/10.1249/MSS.0b013e31823f23b1
    » https://doi.org/10.1249/MSS.0b013e31823f23b1
  • 10
    Tudor-Locke C, Pangrazi RP, Corbin CB, Rutherford WJ, Vincent SD, Raustorp A, et al. BMI-referenced standards for recommended pedometer-determined steps/day in children. Prev Med. 2004;38(6):857-64. https://doi.org/10.1016/j.ypmed.2003.12.018
    » https://doi.org/10.1016/j.ypmed.2003.12.018
  • 11
    Jimenez-Pavón D, Kelly J, Reilly JJ. Associations between objectively measured habitual physical activity and adiposity in children and adolescents: systematic review. Int J Pediatr Obes. 2010;5(1):3-18. https://doi.org/10.3109/17477160903067601
    » https://doi.org/10.3109/17477160903067601
  • 12
    Basterfield L, Pearce MS, Adamson AJ, Frary JK, Parkinson KN, Wright CM, et al. Physical activity, sedentary behavior, and adiposity in English children. Am J Prev Med. 2012;42(5):445-51. https://doi.org/10.1016/j.amepre.2012.01.007
    » https://doi.org/10.1016/j.amepre.2012.01.007
  • 13
    Michalopoulou M, Gourgoulis V, Kourtessis T, Kambas A, Dimitrou M, Gretziou H. Step counts and body mass index among 9-14 years old greek schoolchildren. J Sports Sci Med. 2011 [citado 14 fev 2017];10(1):215-21. Disponível em: http://www.jssm.org/researchjssm-10-215.xml.xml
    » http://www.jssm.org/researchjssm-10-215.xml.xml
  • 14
    Instituto Brasileiro de Geografia e Estatística. Indicadores sociais municipais: uma análise dos resultados do universo do censo demográfico 2010. Rio de Janeiro: IBGE; 2011 [citado 25 jun 2012]. (Estudos e Pesquisas. Informação Demográfica e Socioeconômica, 28). Disponível em: http://biblioteca.ibge.gov.br/visualizacao/livros/liv54598.pdf
    » http://biblioteca.ibge.gov.br/visualizacao/livros/liv54598.pdf
  • 15
    Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc. 2011;43(7):1360-8. https://doi.org/10.1249/MSS.0b013e318206476e
    » https://doi.org/10.1249/MSS.0b013e318206476e
  • 16
    Colley R, Connor Gorber S, Tremblay MS. Quality control and data reduction procedures for accelerometry-derived measures of physical activity. Health Rep. 2010 [citado 16 fev 2017];21(1):63-9. Disponível em: http://www.statcan.gc.ca/pub/82-003-x/2010001/article/11066-eng.pdf
    » http://www.statcan.gc.ca/pub/82-003-x/2010001/article/11066-eng.pdf
  • 17
    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. https://doi.org/10.1080/02640410802334196
    » https://doi.org/10.1080/02640410802334196
  • 18
    Barreira TV, Staiano AE, Katzmarzyk PT. Validity assessment of a portable bioimpedance scale to estimate body fat percentage in white and African-American children and adolescents. Pediatric Obes. 2013;8(2):e29-32. https://doi.org/10.1111/j.2047-6310.2012.00122.x
    » https://doi.org/10.1111/j.2047-6310.2012.00122.x
  • 19
    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(9):660-7. https://doi.org/10.2471/BLT.07.043497
    » https://doi.org/10.2471/BLT.07.043497
  • 20
    Schisterman EF, Faraggi D, Reiser B, Trevisan M. Statistical inference for the area under the receiver operating characteristic curve in the presence of random measurement error. Am J Epidemiol. 2001;154(2):174-9. https://academic.oup.com/aje/article-lookup/doi/10.1093/aje/154.2.174
    » https://academic.oup.com/aje/article-lookup/doi/10.1093/aje/154.2.174
  • 21
    Field A. Descobrindo a estatistica usando o SPSS. 2. ed. Porto Alegre: Artmed; 2009.
  • 22
    Duncan JS, Schofield G, Duncan EK. Step count recommendations for children based on body fat. Prev Med. 2007;44(1):42-4. https://doi.org/10.1016/j.ypmed.2006.08.009
    » https://doi.org/10.1016/j.ypmed.2006.08.009
  • 23
    Barriera TV, Tudor-Locke C, Champagne CM, Broyles ST, Johnson WD, Katzmarzyk PT. Comparison of GT3X accelerometer and YAMAX pedometer steps/day in a free-living sample of overweight and obese adults. J Phys Act Health. 2013;10(2):263-70. https://doi.org/10.1123/jpah.10.2.263
    » https://doi.org/10.1123/jpah.10.2.263
  • 24
    Stabelini Neto A, Campos W, Santos GC, Mazzardo Junior O. Metabolic syndrome risk score and time expended in moderate to vigorous physical activity in adolescents. BMC Pediatr. 2014;14:42. https://doi.org/10.1186/1471-2431-14-42
    » https://doi.org/10.1186/1471-2431-14-42
  • 25
    Rowlands AV, Eston RG. Comparison of accelerometer and pedometer measures of physical activity in boys and girls, ages 8-10 years. Res Q Exerc Sports. 2005;76(3):251-7. https://doi.org/10.1080/02701367.2005.10599296
    » https://doi.org/10.1080/02701367.2005.10599296
  • 26
    Programa das Nações Unidas para o Desenvolvimento – PNUD. O Índice de desenvolvimento humano municipal brasileiro. Brasília (DF): PNUD, IPEA, FJV; 2013 [citado 14 fev 20217]. (Série Atlas do Desenvolvimento Humano no Brasil). Disponível em: http://www.ipea.gov.br/portal/images/stories/PDFs/130729_AtlasPNUD_2013.pdf
    » http://www.ipea.gov.br/portal/images/stories/PDFs/130729_AtlasPNUD_2013.pdf

  • Funding: The research project ISCOLE Brazil has been funded by the Coca-Cola Company.

Publication Dates

  • Publication in this collection
    27 Apr 2017

History

  • Received
    17 Oct 2015
  • Accepted
    9 May 2016
Faculdade de Saúde Pública da Universidade de São Paulo São Paulo - SP - Brazil
E-mail: revsp@org.usp.br