Association of cardiorespiratory fitness, physical activity level, and sedentary behavior with overweight in adolescents

Associação da aptidão cardiorrespiratória, do nível atividade física e do comportamento sedentário com o estado nutricional de adolescentes

Abstract

Physical activity and sedentary behavior promote opposite effects on overweight and obesity, in adolescents; however little is known of their combined impact on these outcomes. We aimed to investigate if there were any associations between overweight, and physical activity level, cardiorespiratory fitness, and sedentary behavior, both as isolated variables and in combination. Data of 1,015students from two public and four private schools from the metropolitan area of Rio de Janeiro, Brazil were analyzed. Overweight was classified according to body mass index, whereas physical activity level was assessed by the International Physical Activity Questionnaire (IPAQ), cardiorespiratory fitness by a 9-minute test (T9), and sedentary behavior by a self-completed questionnaire, considering the time spent watching television as the main indicator. Associations were examined by binary logistic regression analysis. Odds ratios (ORs) and 95% confidence intervals (95%CIs) were used to measure the magnitude of the associations. IBM SPSS Statistics version 20 was used for all statistical analyses. Adolescents with poor cardiorespiratory fitness (OR=3.71; 95%CI=1.30-10.6) and a high degree of sedentary behavior (OR=1.73; 95%CI=1.24-2.42) had a bigger chance of being overweight. However the combination of these two categories in the same individual was not statistically associated with overweight. The study indicates that both sedentary behavior and poor performance on cardiorespiratory fitness test are significantly independent associated with overweight in adolescents.

Key words
Obesity; Physical fitness; Sedentary behavior

Resumo

A atividade física e o comportamento sedentário promovem efeitos opostos no sobrepeso e obesidade em adolescentes. Contudo, pouco se sabe sobre seu efeito combinado sobre estes desfechos. Objetivou-se investigar a associação entre sobrepeso e o nível de atividade física, aptidão cardiorrespiratória e comportamento sedentário, isoladamente e de forma combinada. Dados de 1015 estudantes de duas escolas públicas e quatro particulares da região metropolitana do Rio de Janeiro foram analisados. O sobrepeso foi classificado segundo o índice de massa corporal. O nível de atividade física foi avaliado pela forma curta do questionário internacional de atividade física (IPAQ), a aptidão cardiorrespiratória pelo teste de corrida e caminhada de 9 minutos (T9) e o comportamento sedentário pelo tempo do uso de televisão. As associações foram calculadas por regressão logística binária. A magnitude das associações foi avaliada pela odds ratio (OR) e intervalo de confiança de 95% (IC95%). Os cálculos estatísticos foram realizados em IBM SPSS statistical versão 20. Adolescentes com baixa aptidão cardiorrespiratória (OR=3,71; IC95%=1,30-10,6) e com alto nível de comportamento sedentário (OR=1,73; IC95%=1,24-2,42) apresentaram maior chance sobrepeso. Todavia, a coexistência destas duas categorias no mesmo indivíduo não se associou significativamente ao sobrepeso. O estudo indica que tanto o comportamento sedentário quanto o baixo desempenho no teste de aptidão cardiorrespiratória estão associados de forma independente ao sobrepeso em adolescentes.

Palavras-chave
Adolescente; Aptidão física; Comportamento sedentário; Obesidade

INTRODUCTION

The prevalence of overweight and obesity among adolescents increased significantly, over the past few decades, in Brazil¹ as well as in several other countries² leading them to serious health issues. Sedentary lifestyles³ and inadequate food habits⁴ have been considered as the main causes of these conditions⁵.

Physical activity not only brings metabolic benefits and bone health, but also cardiorespiratory fitness, and body composition⁶. Besides it improves social skills, self-esteem, cognition and school performance, and prevents from developing depression and anxiety⁷. Sedentary behavior is considered the major cause for the increase in the prevalence of overweight and obesity, among other related chronic diseases⁸.

The presence of physical activity or sedentary behavior would suggest the absence of the other⁹. Nevertheless, there are evidences stating that these behaviors coexist regardless of the other¹⁰ and have different effects on an individual’s health.

While several studies investigated the isolated associations of physical activity¹¹ or sedentary behavior¹² with overweight and obesity among adolescents, few studies have took into consideration the influence of both actions on these outcomes. Furthermore, scientific knowledge concerning to the relationship between physical activity and sedentary behavior on individuals’ health remains controversial: some studies report that the presence of one behavior would imply the absence of the other⁹, while some other studies attest the coexistence of active and sedentary behavior promoting different effects on individuals’ health¹⁰,¹³.

It has been hypothesized that the protective effect offered by physical activity that is performed for a short period, daily, is attenuated by the risk associated with participation in sedentary behaviors for long periods, during the day⁹,¹³.

In this context, the objective of this research is to study the association between physical activity level or cardiorespiratory fitness and sedentary behavior, and a combination of both, with overweight among adolescents. We hope that these findings should clarify how physical activity, cardiorespiratory fitness and sedentary behavior are related to adolescents being overweight, as well as contribute to the formulation of intervention proposals on physical activity practice and sedentary behavior to prevent and treat excessive weight gain.

METHOD

In this cross-sectional study, data from the baseline of the Adolescent Nutritional Assessment Longitudinal Study (ELANA) pertaining to first year high school students from two public and four private schools, located in the metropolitan region of Rio de Janeiro, Brazil, were analyzed. The ELANA’s sampling, recruiting methodology, and data collection have been previously described by Moreira et al.¹⁴. Disabled and pregnant adolescents, as well as those who were undergoing any obesity drug treatment were excluded from the ELANA sample.

Of the 1131 eligible students, 92 did not took part in this study due to not showing interest, not obtaining parent consent, or not being present on the data collection day. Furthermore, 24 students were excluded due to missing anthropometric data, resulting in a final sample of 1015 students (89.7% of the eligible adolescents).

Data collection was performed between February and August, 2010 by a trained team. Weight was measured using an electronic portable scale (Kratos-Cas Electronic Scales, Brazil) with a 150 kg capacity and 50 g resolution. Height was measured in duplicate, using a portable stadiometer (Alturexata, Brazil) in 0.1 cm graduations. A maximum variation of 0.5 cm was allowed between the two measurements, and the mean value was considered in the analysis. For both, weight and height measurements, adolescents were barefoot, wearing light clothes and no accessories. Body mass index (BMI) was calculated as weight/ (height)².

Physical activity level was assessed using the short version of the International Physical Activity Questionnaire (IPAQ), validated for Brazilian adolescents aged from 14 to 18 years or older¹⁵. This instrument assesses the physical activity performed by adolescents during the week preceding data collection, according to its intensity, weekly frequency and time spent in each activity per day.

It is important to consider the ability of the evaluation method used for physical activity. The IPAQ, the most commonly used instrument to investigate physical activity in epidemiological studies, is based on the memory and auto-perception of individuals and, therefore, is subject to memory bias and subjectivity¹⁶. It has been showed that cardiorespiratory fitness tests present positive correlation with physical activity tests once people who report higher levels of physical activity have better cardiorespiratory fitness scores¹⁷. Besides that, it has been already showed that cardiorespiratory fitness is a good indicator of health risk and mortality in adults¹⁸. Therefore, cardiorespiratory fitness was used as an alternative exposure variable to verify the association with overweight in adolescents as previously studied¹⁹.

Cardiorespiratory fitness was assessed using the 9-minute test (T9) according to the protocol proposed by Gaya and Silva²⁰. Adolescents were told to run for as long as possible, until they heard the signal to stop. Walking was allowed when necessary. The distance covered by the adolescent in the test was calculated by multiplying the perimeter of the lane by the number of laps performed plus the distance traveled between the last turn and the location of the student at the moment the test was completed.

Sedentary behavior was assessed using a self-administered questionnaire regarding the frequency and hours spent, daily, watching television (TV) or using a computer or playing video games, based on the following questions: a) Do you watch TV [(1) never or almost never, (2) 1 to 2 times weekly, (3) 3 to 4 times weekly, (4) 5 to 6 times weekly, and (5) daily]? ; b) How many hours a day do you watch TV? The same questions were proposed regarding the use of computers or videogames. The total daily hours spent on each of these activities was calculated by multiplying the reported number of hours per day and weekly frequency divided by 7 days, as follows: daily hours spent on sedentary behaviors = (number of hours per day) x (weekly frequency) / 7 days.

Data Analysis

BMI, as the dependent variable, was analyzed as a categorical variable through which adolescents were classified in the descriptive analysis as: low weight (Z score<-2), normal weight (Z score -2 ≤ to< 1), overweight (Z score 1≤ to < 2) and obese (Z score ≥ 2) according to the age and sex specific cut off points recommended by the WHO²¹. In the association analysis, adolescents were classified as: overweight (BMI ≥ 1 Z score), and not overweight (BMI <1 Z score).

The independent variables were: a) physical activity level, according to IPAQ data, with the adolescents classified as “physically active” when they participated >=60min of moderate or vigorous physical activity during the day, and “insufficiently active” when they participated <60min/day of this kind of activity according to the WHO’s recommendation²² ; b) cardiorespiratory fitness, as a categorical variable, classified as “risk” and “desired” according to cardiorespiratory fitness health classification proposed by Projeto Esporte Brasil (PROESP)²⁰ ; c) sedentary behavior classified as “absent” ( watching <2h of TV/day) and “present” (≥2h of TV/day), as proposed by the American Academy of Pediatrics (AAPC)²³. The time spent watching TV or using computers and videogames were also analyzed as a continuous variables (hours/day).

The other independent variables were created by the combination of physical activity level and cardiorespiratory fitness with sedentary behavior, based only on the hours spent watching TV because this is the most commonly used variable as a marker of sedentary behavior⁸. These variables were categorized as follows:

$$\begin{array}{c}\mathrm{Physical}\mathrm{activity}\mathrm{level}+\mathrm{sedentary}\mathrm{behavior}:\\ 1.‘\ge 60\min /\mathrm{day}+<2\mathrm{h}\mathrm{of}\mathrm{TV}/\mathrm{day}’;\\ 1.‘\ge 60\min /\mathrm{day}+<2\mathrm{h}\mathrm{of}\mathrm{TV}/\mathrm{day}’;\\ 1.‘\ge 60\min /\mathrm{day}+<2\mathrm{h}\mathrm{of}\mathrm{TV}/\mathrm{day}’;\\ 1.‘\ge 60\min /\mathrm{day}+<2\mathrm{h}\mathrm{of}\mathrm{TV}/\mathrm{day}’;\\ \\ \mathrm{Cardiorespiratory}\mathrm{fitness}+\mathrm{Sedentary}\mathrm{behavior}:\\ 1.‘\mathrm{desired}+<2\mathrm{h}\mathrm{of}\mathrm{TV}/\mathrm{day}’;\\ 2.‘\mathrm{desired}+\ge 2\mathrm{h}\mathrm{of}\mathrm{TV}/\mathrm{day}’;\\ 3.‘\mathrm{risk}+<2\mathrm{h}\mathrm{of}\mathrm{TV}/\mathrm{day}’;\\ 4.‘\mathrm{risk}+\ge 2\mathrm{h}\mathrm{of}\mathrm{TV}/\mathrm{day}’.\end{array}$$

The frequencies of the categorical variables were presented according to sex and school type, in the descriptive analysis. The comparison of the frequencies between the groups was performed by a Qui-Square test. Continuous variables ‘hours of TV/day’ and ‘hours of computer and videogames/day’ are presented by median and minimum and maximum values, considering their non-normal distributions verified by Kolmogorov Smirnov test. The comparison of medians between the groups was performed by a Mann-Whitney U test.

The strength of the association between dependent and independent variables was assessed by logistic regression, estimating the odds ratios (ORs) and 95% CIs. Multivariate analyses were performed, estimating the ORs and 95%Cis adjusted by sex (male and female), age (continuous variable), type of school (public or private) and dietary energy intake (continuous variable). The evaluation of dietary energy intake was assessed by a qualitative food consumption frequency questionnaire, validated for teenagers²⁴.

The Box 1 summarizes all statistical procedures performed in this study.

Box 1
Demonstrative chart of statistical analysis

Objectives	Variables	Typeofvariable	Statisticalanalysis
			ortest
Descriptive analysis with Comparison between groups (sex and type of school)	Body mass index	Categorical variable	Qui Square test
	Physical activity level (PA)
	Cardiorespiratory fitness (CF)
	Sedentary behavior (SB)
	PA x SB (combined)
	CF x SB (combined)
	Daily time watching TV	Continuous variable	Mann -Whitney U
	Daily time using computer
Association between overweight (dependent variable) And study variables	Independent variables	Categorical variable
	Physical activity level (PA)
	Cardiorespiratory fitness (CF)
	Sedentary behavior (SB)		Binary
	PA x SB (combined)		Logistic
	CF x SB (combined)		Regression
	Covariables	Categorical variable
	Sex
	Age	Continuous variable
	Energy intake

All analyses were performed using Statistic Package for Social Sciences Software (SPSS), version 20, and p<0.05 was considered statistically significant.

The ELANA project was approved by the committee of ethics on research of the Social Medicine Institute of the State University of Rio de Janeiro, under the protocol number 0020.0.259.000-9. Only students who were willing to participate, and who provided informed consent forms signed by their parents or guardians took part in the study.

RESULTS

In the whole sample of 1015 adolescents, 53.4% were girls, 50.2% public school students and the mean age 15.3±0.98 years old.

The prevalence of overweight was 18.3% and obesity 8.9%. A higher prevalence of obesity was observed in the boys (11.8%) than the girls (6.3%). Private school students showed a higher prevalence of overweight (22.2%) than those from public schools (14.5%) (Table 1).

Table1
Characterization of the adolescents with regards to weight status, physical activity level, cardiorespiratory fitness, and sedentary behavior, according to sex and school type – ELANA

		Sex			Type de school
	Total	Boys	Girls	p value*	Public	Private	p value*
Body Mass Index (kg/m2)	N=1015	N=473	N=542	018	N=510	N=505	001
Low Weight	5	7	3	598	4	6	02
Normal Weight	3	9	4	113	1	5	008
Overweight	3	5	0	550	5	2	002
Obesity	9	8	3	002	0	7	351
Physical Activity Level (PA)	N=919	N=436	N=483	<0.001	N=468	N=451	006
<60min/day	5	2	0		8	4
≥60min/day	5	8	0		2	6
Cardiorespiratory Fitness (CF)	N=844	N=415	N=429	0,561	N=457	N=387	004
Risk	9	5	3		9	5
Desired	1	5	7		1	5
Sedentary Behavior (SB)
Television	N=995	N=466	N=529	0,285	N=508	N=486	340
>2 h/day	1	8	7		8	6
≤2 h/day	9	2	3		2	4
Hours/day: Median§	0	0	0	995#	0	0	049#
Computer and Videogames	N=995	N=467	N=528	008	N=508	N=487	<0.001
>2 h/day	6	6	0		4	1
≤2 h/day	4	4	0		6	9
Hours/day: Median§	0	0	0	108#	5	0	<0.001#
PA x SB	(N=917)	(N=435)	(N=482)	<0.001	(N=467)	(N=450)	032
<60min/day + ≥2h TV/day	9	0	4	**	1	8	**
<60min/day + <2h TV/day	7	3	7	**	8	7
≥60min/day+ ≥2h TV/day	5	8	8	**	5	3
≥60min/day + <2h TV/day	9	9	1		6	2
CF x SB	(N=842)	(N=414)	(N=428)	677	(N=456)	(N=386)	023
Risk + ≥2h TV/day	53,6	55,1	1		3	6
Risk + <2h TV/day	3	4	2		7	9
Desired + ≥2h TV/day	4	9	0		8	4	**
Desired + <2h TV/day	7	7	6		3	1

• Note. The values express the prevalence percentage;
• ^*
  Chi-Square test;
• ^**
  p value<0.05;
• ^#
  Mann-Whitney U test;
• ^§
  Minimum value = 0.0; Maximum value = 9.0 for all medians presented

The recommendation for physical activity practice was not met by 22.5% of the adolescents, which was higher among girls than boys (30% vs. 14.2%, p<0.001), and also higher among public school students than private school students (26.4% vs. 18.8%, p=0.006).

The cardiorespiratory fitness of most adolescents (95%) was in the “risk” category, with higher frequencies observed among public school students than private school students (96.9% vs. 92.5%, p=0.004). Based on the time spent watching TV, as well as using computers and playing videogames, the prevalence rates of sedentary behavior was 69.1% and 71.6%, respectively. The median time spent watching TV and using computers and videogames was 3.0 h (range from 0.0 to 9.0 h). However, private school students spent more hours using computers and videogames than public schools students (3.0 h vs. 2.5 h, p<0.001) (Table 1).

Regarding the combination of physical activity and sedentary behavior, it was verified that 12.9% of all the adolescents participated in less than 60 minutes, daily, of physical activity and more than 2 hours, daily, watching TV). A higher number of girls than boys (16.4% vs. 9%, p<0.05), and students from private schools than those from public schools (15.8% vs. 10.1%, p<0.05) were in this category. Regarding the combination of the cardiorespiratory fitness and sedentary behavior, it was verified that a little more than half of the adolescents (53.3%) were in the worst classification (cardiorespiratory fitness in the “risk” category and watching ≥2h TV/day), with no difference between the sexes and types of school.

A logistic regression model, pertaining the association between overweight and the independent variables, adjusted by sex, age, type of school and dietary energy intake, showed that low levels of physical activity provided a protective effect on overweight (OR=0.67; 95%CI = 0.49-0.98), while cardiorespiratory fitness in the “risk” category increased by almost four times, the chance of having overweight (OR= 3.71; 95%CI=1.30-10.6) compared to that in the “desired” level. Adolescents who watched TV for more than 2 hours a day had almost double the chance (OR= 1.73; 95%CI =1.24-2.42) of being overweight compared to those who spent less than 2 hours daily watching TV (Table 2).

Table 2
Logistic regression analysis for the association between overweight and physical activity level, cardiorespiratory fitness, and sedentary behavior, as isolated or grouped variables.

Variables	Overweight	Unadjusted	Adjusted1
	N / (%)	OR (95%CI)	OR (95%CI)
Physical Activity Level (PA)
≥60min/day	203 (28.6)	00	00
<60min/day	47 (22.7)	73 (0.51-1.05)	67 (0.46-0.98)
Cardiorrespiratory Fitness (CF)
Desired	4 (9.3)	00	1,00
Risk	213 (26.6)	53 (1.24-10.0)	71 (1.30-10.6)
Sedentary Behavior (SB)
Television
<2 h TV/day	47 (22.7)	00	1,00
≥2 h TV/day	213 (26.6)	74 (1.25-2.40)	73 (1.24-2.42)
Computer and Videogames
<2 h /day	56 (25.9)	00	00
≥2 h /day	209 (26.8)	04 (0.74-1.47)	01 (0.71-1.45)
PA x SB
≥60min/day + <2h TV/ day	72 (23.9)	00	00
≥60min/ day + ≥2h TV/ day	130 (31.9)	49 (1.07-2.09)	51(1.07-2.13)
<60min/ day + <2h TV/ day	18 (20.2)	81 (0.45-1.44)	74 (0.41-1.35)
<60min/ day + ≥2h TV/ day	29 (24.6)	04 (0.63-1.70)	94(0.57-1.57)
CF x SB
Desired+ <2h TV/day	1 (7.1)	00	1,00
Desired + ≥2h TV/day	3 (10.3)	5 (0.14-15.9)	40 (0.13-15.0)
Risk + <2h TV/day	76 (21.8)	63 (0.47-18.2)	63 (0.46-28.5)
Risk + ≥2h TV/day	136 (30.2)	61 (0.72-43.4)	5.59 (0.72-43.5)

• Note.
• ¹
  Adjusted by sex, age, type of school attended and dietary energy intake; CI, confidence Interval; OR, odds ratio.

Adolescents who met the WHO’s recommendation of participating in moderate or vigorous physical activity for more than 60 minutes per day, but also spent more than 2 hours watching TV, as a marker of sedentary behavior, had a higher chance of being overweight than those who participated in more than 60 minutes per day of moderate or vigorous physical activity as well as spent less than 2 hours daily watching television (OR= 1.51; 95%CI =1.07-2.13) No association was observed between combination of cardiorespiratory fitness and sedentary behavior categories (Table 2).

DISCUSSION

This research investigates the association between physical activity level, assessed by the IPAQ, cardiorespiratory fitness, and sedentary behavior (watching TV, and using computers or playing videogames), as well as the combination of these variables with overweight, among adolescents. Our main results suggest that cardiorespiratory fitness in the “risk” category, as well as a high degree of sedentary behavior are significantly independent associated with overweight as expected. On the other hand, physical activity level showed an unexpected direct association with overweight.

Based on the IPAQ, most of the adolescents met the WHO´s recommendation for physical activity practice (60min/day of moderate or vigorous physical activity); however, only small portion of them had the desired cardiorespiratory fitness level. Due to its correlation with physical activity level¹⁷, it would be expected that the prevalence rates are comparable; however, the magnitude of the prevalence of both variables is considerable. The results of the logistic regression confirm this supposition, as the insufficiently active adolescents showed a lower risk of being overweight than those who were physically active, contradicting the hypothesis that participation on physical activity is a protective factor for overweight. This result must be carefully analyzed because there is a possibility of overestimation of the physical activity level when accessed by IPAQ²⁵. However, there are few validated instruments suitable for assessing physical activity level among adolescents, thus the choice of IPAQ is owing to its validation and wide use nationally and internationally²⁶. Another explanation for this result could be reverse causality, a limitation of cross-sectional studies, in situations in which the outcome changes the exposure status. Thus, the adolescents with overweight may have already been engaged in some sort of physical activity as a means of losing weight.

Considering cardiorespiratory fitness, the consistency of the results are verified, as those with cardiorespiratory fitness at the “risk” category have a considerably bigger chance (about 3.5 times) of being overweight than those with a “desired” level of cardiorespiratory fitness. This result is similar to those observed in other studies on Brazilian adolescents²⁷, in which worse performance on a cardiorespiratory fitness test was associated with obesity and high abdominal obesity. Straatmann and Veiga¹⁹ also observed a negative association between waist circumference and the distance covered in the T9. Therefore, cardiorespiratory fitness could be a more efficient screening option to identify young individuals at a risk of overweight, as it is based on an objective method, free of the inaccuracies associated with subjectivity or memory bias that are inherent to questionnaires that are used to assess the level of physical activity²⁵.

Sedentary behavior is positively associated with overweight, both as an isolated variable and as well as in combination with physical activity level. Spending excessive time on sedentary behaviors continued to be associated with overweight, even when combined with a high physical activity level; therefore, the prevalence of overweight was higher among those who reported having a high physical activity level but also a high sedentary behavior, compared to those with a high physical activity level but a low degree of sedentary behavior, confirming the results of other studies that describe the negative impacts of sedentary behavior on several health outcomes, even combined with high physical activity level¹³.

The association between overweight and cardiorespiratory fitness in the “risk” category combined with a high degree of sedentary behavior was not statistically significant. Only 5% of the adolescents met the desired cardiorespiratory fitness level, in our study, pointing to sample homogeneity, thereby making it hard to identify statistically significant associations in these analyses.

These results point to the independent association of sedentary behavior acting as risk factor⁸ and desired cardiorespiratory fitness playing role of protective factor¹⁹ on the development of overweight and obesity, highlighting the importance of multidisciplinary approaches in controlling and preventing overweight and obesity and strategies that not only encourage the practice of physical activity but also promote the reduction in the time spent on sedentary behaviors.

In the context of the effect of sedentary behavior on health-related outcomes, it is important to discuss the sedentary behavior markers. Several studies defined “screen time” as time spent on electronic media such as television, videogames and computers, and its associations with health outcomes, according to different medias, has been investigated separately⁸,²³ or together¹³,²⁸. In this study, we investigated the difference in the use of these indicators among public and private school students, considering the type of school as a socioeconomic status indicator, as is widely used in Brazilian studies²⁹ and the premise that socioeconomic status could be a determinant of the use of different media related to sedentary behavior. Indeed, a larger proportion of private school students spent more than 2 hours, daily, using computers and playing videogames; however, public school students spent more time watching TV. There was no difference between the school types with regards to the prevalence of the overuse of TV. However, only TV exposure was confirmed as a risk factor for overweight. The relationship between the use of TV and overweight, among adolescents, is especially relevant, as it favors low levels of physical activity and the consumption of unhealthy foods, stimulated by television advertising³⁰, increasing the risk of developing overweight and obesity.

One limitation is the evaluation of sedentary behavior and physical activity through the use of a self-completed questionnaire; therefore, reporting biases can be ruled out. However, this methodology is more feasible for epidemiological studies due to its practicality and low cost²⁶.

CONCLUSION

The study indicates that both sedentary behavior, expressed by the time spent watching television, and poor performance on the cardiorespiratory fitness test are associated with overweight in adolescents. However, the coexistence of these two factors in the same individual did not increase significantly such association. This reinforces the importance of taking a varied approach, with activities that promote participation in physical activity, consequently, improving cardiorespiratory fitness, and reduction in the time spent on sedentary activities to ensure the greater efficiency of future overweight prevention programs for adolescents.

COMPLIANCE WITH ETHICAL STANDARDS

• Funding

  The Adolescent Nutritional Assessment Longitudinal Study (ELANA) was funded by the National Council for Scientific and Technological Development (grant 47667/2011-9), the Research Support Foundation of the State of Rio de Janeiro (grants E26/110.847/2009, E26/110.626/2011 and E26/110.774/2013) and Coordination for Improvement of Higher Education Personnel (grant 23038.007702/2011-5).

• Ethical approval

  Ethical approval was obtained from the local Human Research EthicsCommittee – (Social Medicine Institute of the State University of Rio de Janeiro) and the protocol (no. 0020.0.259.000-9) was written in accordance with the standards set by the Declaration of Helsinki.

How to cite this article

• Franceschin MJ, Veiga GV. Association of cardiorespiratory fitness, physical activity level, and sedentary behavior with overweight in adolescents. Rev Bras Cineantropom Desempenho Hum 2020, 22:e60449. DOI: http://dx.doi.org/10.1590/1980-0037.2020v22e60449.

REFERENCES

• ¹
  Instituto Brasileiro de Geografia e Estatística / IBGE. Pesquisa de Orçamentos Familiares 2008-2009: Antropometria e Análise do Estado Nutricional de Crianças, Adolescentes e Adultos no Brasil. 2010; Available from: http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008_2009_encaa/default.shtm [2014 apr 20].
  » http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008_2009_encaa/default.shtm
• ²
  Marie NJ, 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 Study 2013. Lancet 2014; 384: 766-81.
• ³
  Booth FW, Roberts CK, Laye MJ. Lack of exercise is a major cause of chronic diseases. Compr Physiol 2012;2(2): 1143-211.
• ⁴
  Larson NI, Miller JM, Watts AW, Story MT, Neumark-Sztainer DR. Adolescent snacking behaviors are associated with dietary intake and weigth status. J Nutr 2016;146(7):1348-55.
• ⁵
  World Health Organisation/ WHO. Adolescent obesity and related behaviors: trends and inequalities in the WHO European Region, 2002-2014, 2014; Available from:http://www.euro.who.int/__data/assets/pdf_file/0019/339211/WHO_ObesityReport_2017_v3.pdf [2017 jun 23].
  » http://www.euro.who.int/__data/assets/pdf_file/0019/339211/WHO_ObesityReport_2017_v3.pdf
• ⁶
  Hallal PC, Knuth AG, Cruz DKA, Mendes MI, Malta DC. Prática de atividade física em adolescentes brasileiros. Ciênc Saúde Colet 2010;15(2): 3035-3042.
• ⁷
  Landry BW, Driscoll SW. Physical Activity in Children and Adolescents. PM R 2012;4(11):826-32.
• ⁸
  Tremblay M, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act 2011;8:98.
• ⁹
  Raudsepp L, Neisaar I, KullM. Longitudinal stability of sedentary behaviors and physical activity during early adolescence. Pediatr Exerc Sci 2008; 20(3): 251-62.
• ¹⁰
  Colley RC, Garriguet D, Adamo KB, Carson V, Janssen I, Timmons BW, et al. Physical activity and sedentary behavior during the early years in Canada: a cross-sectional study. Int J Behav Nutr Phys Act 2013; 10:54.
• ¹¹
  Janssen I, Le Blanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act 2010; 7:40.
• ¹²
  Vicente-Rodríguez G, Rey-López JP, Martín-Matillas M, Moreno LA, Wärnberg J, Redondo C, et al. Television watching, videogames, and excess of body fat in Spanish adolescents: the AVENA study. Nutrition 2008; 24: 654-62.
• ¹³
  Young DR, Reynolds K, Sidell M, Brar S, Ghai NR, Sternfeld B, et al. Effects of physical activity and sedentary time on the risk of heart failure. Circ Heart Fail 2014; 7(1): 21-7.
• ¹⁴
  Moreira NF, Sichieri R, Reichenheim ME, Oliveira ASD, Veiga GV. The association of BMI trajectory and excessive weight gain with demographic and socio-economic factors: the Adolescent Nutritional Assessment Longitudinal Study cohort. Br J Nutr 2015;114(12):2032-8.15.
• ¹⁵
  Guedes DP, Lopes CD, Guedes JERP. Reprodutibilidade e validade do questionário internacional de atividade física para adolescentes. Rev Bras Med Esporte 2005; 11: 151-158.
• ¹⁶
  Warren JM, Ekelund U, Besson H, Mezzani A, Geladas N, Vanhees L, et al. Assessement of physical activity – a review of methodologies with reference to epidemiological research: a report of the exercise physiology section of the European Association of Cardiovascular Prevention and Rehabilitation. Eur J Cardiovasc Prev Rehabil 2010;17(2):127-39.
• ¹⁷
  Straatman VS, Santos LAV, Palma A, Veiga GV. Cardiorespiratory fitness and physical activity level in adolescents. Rev Bras Cineantropom Desempenho Hum 2015;17(1):21-30.
• ¹⁸
  Kodama S, Saito K, Tanaka S, Maki M, Yachi Y, Asumi M, et al. Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. JAMA 2009; 301(19):2024-35.
• ¹⁹
  Straatman VS, Veiga GV. Cardiorrespiratory fitness, physical activity, and indicators of adiposity in Brazilian adolescents. Hum Mov 2005; 16(2): 64-70.
• ²⁰
  Projeto Esporte Brasil / PROESP -Manual de aplicação de medidas e testes, normas e critérios de avaliação, 2009;Available from: www.proesp.ufrgs.br [2014 apr 21].
  » www.proesp.ufrgs.br
• ²¹
  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): 660-667.
• ²²
  World Health Organization /WHO. Global Recommendation on Physical Activity for Health, 2010; Availablefrom: http://www.who.int/dietphysicalactivity/publications/9789241599979/en/index.html [2013 apr 14].
  » http://www.who.int/dietphysicalactivity/publications/9789241599979/en/index.html
• ²³
  AAPC. American Academy of Pediatrics: Children, adolescents, and television. Pediatrics 2001; 107(2): 423-426.
• ²⁴
  Araujo MC, Yokoo EM, Pereira RA. Validation and calibration of a semiquantitative food questionnaire designed for adolescents. J Am Diet Assoc 2010;110(8):1170-7.
• ²⁵
  Sebastião E, Gobbi S, Chodzoko-Zajko W, Schwingel A, Papini CB, Nakamura PM, et al. The International Physical Activity Questionnaire-long form overestimates self-reported physical activity of Brazilian adults. Public Health 2012; 126(11): 967-975.
• ²⁶
  Florindo AA, Guimarães VV, Cesar LG, Barros MBA, Alves MCGP, Goldbaum M. Epidemiology of Leisure, Transportation, Occupational, and Household Physical Activity: Prevalence and Associated Factors. J Phys Act Health 2009;6(5):625-32.
• ²⁷
  Andreasi V, Michelini E, Rinaldi AE, Burin RC. Physical fitness and associations with anthropometric measurements in 7 to 15-year-old school children. J Pediatr (Rio J) 2010; 86(6): 497-502.
• ²⁸
  Salmon J, Tremblay MS, Marshall SJ, Hume C. Health risks, correlates and interventions to reduce sedentary behavior in young people. Am J Prev Med 2011; 41(2): 197-206.
• ²⁹
  Organisation for Economic Co-operation and Development / OECD. Public and Private Schools: How Management and Funding Relate to their Socio-economic Pro?le, 2012; Avaiable from: http://www.oecd.org/pisa/50110750.pdf [2014 oct 10].
  » http://www.oecd.org/pisa/50110750.pdf
• ³⁰
  Oliveira JS, Barufaldi LA, Abreu GA, Leal VS, Brunken GS, Vasconcelos SM, et al. ERICA: use of screen and consumption of meals and snacks by Brazilian adolescents. Rev Saúde Pública 2016; 50(1):7s.

Publication Dates

• Publication in this collection
  18 May 2020
• Date of issue
  2020

History

• Received
  27 Nov 2018
• Accepted
  19 Dec 2019