1
|
Lee H, Choi H, Koh SB, Kim HC. Trends in the effects of socioeconomic position on physical activity levels and sedentary behavior among Korean adolescents. Epidemiol Health 2023; 45:e2023085. [PMID: 37723840 PMCID: PMC10728613 DOI: 10.4178/epih.e2023085] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 08/30/2023] [Indexed: 09/20/2023] Open
Abstract
OBJECTIVES We examined trends in physical activity and sedentary behavior in Korean adolescents, and their association with socioeconomic position (SEP). METHODS We used data from the Korea Youth Risk Behavior Survey, a nationwide study involving students aged 12-19 conducted between 2009 and 2021. SEP was assessed based on economic status, parental education attainment, and urbanization. Physical activity was categorized into vigorous physical activity, moderate physical activity, and muscle training, and sedentary time was also measured. We conducted the log-binomial regression to calculate prevalence ratios (PRs) and prevalence differences. RESULTS Our analysis included a total of 593,896 students. We observed an increasing trend in physical activity, but a worsening trend in sedentary behavior. A positive association was found between an adolescent's physical activity and SEP indicators, except for urbanization. Adolescents with higher economic status engaged in more vigorous physical activity (high: PR, 1.26; 95% confidence interval [CI], 1.25 to 1.28; middle: PR, 1.03; 95% CI, 1.02 to 1.04). Similar associations were observed for father's education (tertiary or above: PR, 1.11; 95% CI, 1.09 to 1.13; upper secondary: PR, 1.05; 95% CI, 1.03 to 1.07) and mother's education (tertiary or above: PR, 1.17; 95% CI, 1.15 to 1.20; upper secondary: PR, 1.06; 95% CI, 1.04 to 1.08). Adolescents with higher economic status also showed a higher compliance rate with the guideline restricting sedentary time to 2 hours per day (high: PR, 1.28; 95% CI, 1.25 to 1.30; middle: PR, 1.03; 95% CI, 1.01 to 1.05). CONCLUSIONS Adolescents with higher SEP exhibited more physical activity and less sedentary time than those with lower SEP.
Collapse
Affiliation(s)
- Hunju Lee
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Department of Public Health, Yonsei University Graduate School, Seoul, Korea
| | - Hyowon Choi
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Sang Baek Koh
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Hyeon Chang Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
- Institute for Innovation in Digital Healthcare, Yonsei University Health System, Seoul, Korea
| |
Collapse
|
2
|
Hajebi A, Nasserinejad M, Azadnajafabad S, Ghasemi E, Rezaei N, Yoosefi M, Ghamari A, Keykhaei M, Ghanbari A, Mohammadi E, Rashidi MM, Gorgani F, Moghimi M, Namazi Shabestari A, Farzadfar F. Physical Inactivity, Inequalities, and Disparities Across Districts of Iran: A STEPs Survey-Based Analysis. J Phys Act Health 2023:1-7. [PMID: 37172954 DOI: 10.1123/jpah.2022-0113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 12/13/2022] [Accepted: 03/27/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND We aimed to estimate the prevalence of physical inactivity in all districts of Iran and the disparities between subgroups defined by various measures. METHODS Small area estimation method was employed to estimate the prevalence of physical inactivity in districts based on the remaining districts in which data on the level of physical inactivity were available. Various comparisons on the estimations were done based on socioeconomic, sex, and geographical stratifications to determine the disparities of physical inactivity among districts of Iran. RESULTS All districts of Iran had a higher prevalence of physical inactivity compared with the world average. The estimated prevalence of physical inactivity among all men in all districts was 46.8% (95% uncertainty interval, 45.9%-47.7%). The highest and lowest estimated disparity ratio of physical inactivity were 1.95 and 1.14 in males, and 2.25 and 1.09 in females, respectively. Females significantly had a higher prevalence of 63.5% (62.7%-64.3%). Among both sexes, the poor population and urban residents significantly had higher prevalence of physical inactivity than rich population and rural residents, respectively. CONCLUSIONS The high prevalence of physical inactivity among Iranian adult population suggests the urgent need to adopt population-wide action plans and policies to handle this major public health problem and avert the probable burden.
Collapse
Affiliation(s)
- Amirali Hajebi
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
| | - Maryam Nasserinejad
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
- Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Science, Tehran,Iran
| | - Sina Azadnajafabad
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
| | - Erfan Ghasemi
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
| | - Negar Rezaei
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran,Iran
| | - Moein Yoosefi
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
| | - Azin Ghamari
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
| | - Mohammad Keykhaei
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
- Feinberg Cardiovascular Research Institute, Feinberg School of Medicine, Northwestern University, Chicago, IL,USA
| | - Ali Ghanbari
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
| | - Esmaeil Mohammadi
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
| | - Mohammad-Mahdi Rashidi
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
| | - Fateme Gorgani
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
| | - Mana Moghimi
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
| | - Alireza Namazi Shabestari
- Department of Geriatric Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran,Iran
| | - Farshad Farzadfar
- Endocrinology and Metabolism Population Sciences Institute, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran,Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran,Iran
| |
Collapse
|
3
|
Social Differences in Health Behaviours among Jordanian Adolescents. Eur J Investig Health Psychol Educ 2022; 12:1191-1204. [PMID: 36005232 PMCID: PMC9407352 DOI: 10.3390/ejihpe12080083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/15/2022] [Accepted: 08/17/2022] [Indexed: 11/16/2022] Open
Abstract
Social differences are evident in both developed and developing countries. During adolescence, there are limited differences in morbidity and mortality, but differences do appear in terms of health behaviours. This study aims to examine the relationship(s) between social differences and students’ health behaviours. A cross-sectional study was conducted in 2020 with a sample of high school students (N = 2741, aged 13–18 years) in Jordan. Besides descriptive statistics, bivariate logistic regression analysis was used to detect the odds risk for each social difference indicator. Females were engaged in more healthy dietary and hygienic behaviours and less engaged in smoking. Males were more physically active. Adolescents with a higher parental education level were more engaged in healthy behaviours; however, they drank carbonated soft drinks and ate fast food more often. Higher SES (socioeconomic status) self-evaluation was positively associated with eating breakfast and fruit and vegetables, being physically active, drinking carbonated soft drinks, eating fast food, and smoking. Our findings suggest that socioeconomic differences are important to understanding Jordanian adolescents’ health behaviours. While females tend to engage in more healthy behaviours, the role of parental education and perceived family affluence is not always beneficial in terms of adolescents’ dietary habits, hygienic behaviour, or smoking.
Collapse
|
4
|
Chronic backpain among adolescents in Denmark: trends 1991-2018 and association with socioeconomic status. Eur J Pediatr 2022; 181:691-699. [PMID: 34529135 DOI: 10.1007/s00431-021-04255-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 08/31/2021] [Accepted: 09/01/2021] [Indexed: 10/20/2022]
Abstract
Chronic backpain among adolescents is important because the prevalence is high, above 10%, and more than 10% of all adolescents experience impacts on important day-to-day activities. Chronic backpain tracks into adulthood and is associated with several health problems. The objective was to study trends in the prevalence of chronic backpain among adolescents 1991-2018, to examine the association with socioeconomic status (SES), and whether this association changed over time. The study used data from eight comparable cross-sectional school surveys of nationally representative samples of 11-15-year-olds in 1991, 1994, 1998, 2002, 2006, 2010, 2014, and 2018, which constitute the Danish arm of the international Health Behaviour in School-aged Children (HBSC) study. The participation rate was 74.6% of the eligible study population, n = 29,952. Chronic backpain was defined as self-reported backpain daily or several days a week during the last 6 months. The prevalence of chronic backpain was 11.1%, significantly increasing from 8.9% in 1991 to 11.7% in 2018. The OR for chronic backpain was 1.20 (95% CI: 1.10-1.31) in middle, and 1.56 (95% CI: 1.41-1.73) in low compared to high SES. Sensitivity analyses with two other cut-points for backpain frequency showed similar associations.Conclusion: Chronic backpain is common among adolescents and the prevalence increased from 1991 to 2018. The prevalence was highest in lower SES families. We recommend increased efforts to prevent chronic backpain. What is Known: • Chronic backpain among adolescents is common, has a high burden of disability, is associated with several health problems, and tracks into adulthood. What is New: • The prevalence of chronic backpain among adolescents in Denmark increased from 8.9% in 1991 to 11.7% in 2018. • The prevalence was highest among adolescents from lower SES families.
Collapse
|
5
|
Libuy N, Bann D, Fitzsimons E. Inequalities in body mass index, diet and physical activity in the UK: Longitudinal evidence across childhood and adolescence. SSM Popul Health 2021; 16:100978. [PMID: 34950761 PMCID: PMC8671115 DOI: 10.1016/j.ssmph.2021.100978] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 11/05/2021] [Accepted: 11/20/2021] [Indexed: 11/20/2022] Open
Abstract
We use longitudinal data across a key developmental period, spanning much of childhood and adolescence (age 5 to 17, years 2006-2018) from the UK Millennium Cohort Study, a nationally representative study with an initial sample of just over 19,000. We first examine the extent to which inequalities in overweight, obesity, BMI and body fat over this period are consistent with the evolution of inequalities in health behaviours, including exercise and healthy diet markers (i.e., skipping breakfast) (n = 7,220). We next study the links between SES, health behaviours and adiposity (BMI, body fat), using rich models that account for the influence of a range of unobserved factors that are fixed over time. In this way, we improve on existing estimates measuring the relationship between SES and health behaviours on the one hand and adiposity on the other. The advantage of the individual fixed effects models is that they exploit within-individual changes over time to help mitigate biases due to unobserved fixed characteristics (n = 6,883). We observe stark income inequalities in BMI and body fat in childhood (age 5), which have further widened by age 17. Inequalities in obesity, physical activity, and skipping breakfast are observed to widen from age 7 onwards. Ordinary Least Square estimates reveal the previously documented SES gradient in adiposity, which is reduced slightly once health behaviours including breakfast consumption and physical activity are accounted for. The main substantive change in estimates comes from the fixed effects specification. Here we observe mixed findings on the SES associations, with a positive association between income and adiposity and a negative association with wealth. The role of health behaviours is attenuated but they remain important, particularly for body fat.
Collapse
Affiliation(s)
- Nicolás Libuy
- Centre for Longitudinal Studies, University College London Institute of Education, London, UK
- Corresponding author.
| | - David Bann
- Centre for Longitudinal Studies, University College London Institute of Education, London, UK
| | - Emla Fitzsimons
- Centre for Longitudinal Studies, University College London Institute of Education, London, UK
- Institute for Fiscal Studies, London, UK
| |
Collapse
|
6
|
Bravo-Sánchez A, Morán-García J, Abián P, Abián-Vicén J. Association of the Use of the Mobile Phone with Physical Fitness and Academic Performance: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18031042. [PMID: 33503943 PMCID: PMC7908476 DOI: 10.3390/ijerph18031042] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 01/20/2021] [Accepted: 01/21/2021] [Indexed: 01/29/2023]
Abstract
The aim of this study was to analyse the association of the use of the mobile phone with physical fitness (PF) and academic performance in secondary school students and its gender-related differences. A total of 501 high school students participated in the study (236 girls and 265 boys; 12–18 years). Use of the mobile phone and sample distributions were done with the Mobile-Related Experience Questionnaire (CERM): low use of mobile phone (LMP = 10–15 points), medium use of mobile phone (MMP = 16–23 points) and high use of mobile phone (HMP = 24–40 points). PF via Eurofit test battery and academic performance were recorded, and gender was used as a differentiating factor. The HMP group registered lower values than the LMP group for academic performance (Spanish: 4.78 ± 2.26 vs. 3.90 ± 1.96 points; p = 0.007, Mathematics: 4.91 ± 2.23 vs. 4.00 ± 1.84 points; p = 0.007) and PF (Abdominals: 6.83 ± 2.40 vs. 5.41 ± 2.46 points; p < 0.001, Broad jump: 6.24 ± 3.02 vs. 4.94 ± 2.28 points; p = 0.013). The boy students showed greater values than girl students for PF in the LMP (medicine-ball-throw: 6.34 ± 2.24 vs. 5.28 ± 1.86 points, p = 0.007) and MMP (medicine-ball-throw: 6.49 ± 2.52 vs. 5.02 ± 1.68 points; p < 0.001) groups, but no gender-related differences were found in the HMP group. In conclusion, high use of the mobile phone was related to worse results in the PF tests and academic performance. Gender-related differences were found for academic performance regardless of the use of the mobile, but for physical fitness no gender differences were found in HMP group.
Collapse
Affiliation(s)
- Alfredo Bravo-Sánchez
- Performance and Sport Rehabilitation Laboratory, Faculty of Sport Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain; (A.B.-S.); (J.M.-G.)
| | - Javier Morán-García
- Performance and Sport Rehabilitation Laboratory, Faculty of Sport Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain; (A.B.-S.); (J.M.-G.)
| | - Pablo Abián
- Faculty of Humanities and Social Sciences, Comillas Pontifical University, 28049 Madrid, Spain;
| | - Javier Abián-Vicén
- Performance and Sport Rehabilitation Laboratory, Faculty of Sport Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain; (A.B.-S.); (J.M.-G.)
- Correspondence: ; Tel.: +34-925-268-800 (ext. 5522)
| |
Collapse
|
7
|
Kazemi Karyani A, Matin BK, Kazemi Z, Soltani S, Ebrahimi M, Rezaei S. A healthy behavior and socioeconomic inequality in school-age children in the West of Iran. JOURNAL OF EDUCATION AND HEALTH PROMOTION 2020; 9:55. [PMID: 32489990 PMCID: PMC7255567 DOI: 10.4103/jehp.jehp_418_19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 08/26/2019] [Indexed: 06/11/2023]
Abstract
BACKGROUND Sufficient physical activity (SPA) in children and adolescents has an important role in health, growth, and development of persons. This study aimed to investigate the prevalence of and inequality in physical activity (PA) in 12-15-year-old students in the West of Iran, 2018. MATERIALS AND METHODS In this cross-sectional study, 1404 students from 14 schools of Kermanshah city were included. Data on demographic and socioeconomic status (SES) of students and their family, body mass index, moderate-to-vigorous PA of students were collected. Normalized concentration index (NC) and decomposition analysis applied to measure inequality in SPA and the contribution of affecting factors, respectively. RESULTS About 19% of the students had SPA. The proportion of SPA in boys was higher than girls (38.98% vs. 9.84%). There was a significant deviation from equality line (NC = 0.31; 95% confidence interval [CI]: 0.23, 0.38) and NC for boys and girls were 0.15 (95% CI: 0.04, 0.25) and 0.05 (95% CI: -0.07, 0.17). Sex of students and SES of households with 59.09% and 39.77% contribution to the measured inequality in SPA were the highest positive contributors. Household size (-2.60) had a negative contribution to inequality in SPA. CONCLUSION There was a significant pro-rich socioeconomic inequality in SPA and sex, and SES were the main contributors to the inequality in PA. Some interventions are needed to improve PA among children and adolescents with a focus on girls and low-SES groups to narrow the existing gaps.
Collapse
Affiliation(s)
- Ali Kazemi Karyani
- Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Behzad Karami Matin
- Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Zhila Kazemi
- Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Shahin Soltani
- Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mohammad Ebrahimi
- Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Satar Rezaei
- Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| |
Collapse
|
8
|
Lampert T, Hoebel J, Kuntz B, Finger JD, Hölling H, Lange M, Mauz E, Mensink GBM, Poethko-Müller C, Schienkiewitz A, Starker A, Zeiher J, Kurth BM. Health inequalities among children and adolescents in Germany. Developments over time and trends from the KiGGS study. JOURNAL OF HEALTH MONITORING 2019; 4:15-37. [PMID: 35146241 PMCID: PMC8822245 DOI: 10.25646/5871] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 01/30/2019] [Indexed: 12/11/2022]
Abstract
This study examines the extent to which health inequalities among children and adolescents in Germany have developed over the past decade. The analyses are based on data from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS), which are representative of the 0- to 17-year-old population in Germany. The KiGGS data were collected in three waves: the KiGGS baseline study (2003-2006), KiGGS Wave 1 (2009-2012) and KiGGS Wave 2 (2014-2017). Prevalences of five health outcomes are considered: general health, mental health problems, physical activity, the consumption of sugary soft drinks, and smoking. Moreover, it defines health inequalities in relation to differences in the socioeconomic status of the family (SES), an index derived from the parents’ level of education, occupation and income, and considers both absolute and relative health inequalities. In order to do so, the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII) were calculated using linear probability or log-binomial models. Significant inequalities were identified to the detriment of young people from families with a low SES. These inequalities were particularly pronounced in the KiGGS Wave 2 data with regard to general health and the consumption of sugary soft drinks. Additionally, evidence from trend analyses for these two outcomes suggests that relative inequalities have increased. However, absolute inequalities decreased during the same period, and this also applies to smoking. The persistently high and, in some cases, widened levels of health inequalities indicate that adolescents from families with a low SES do not benefit to the same extent from disease prevention and health promotion measures for children and adolescents as young people from families with a higher SES.
Collapse
Affiliation(s)
- Thomas Lampert
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | - Jens Hoebel
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | - Benjamin Kuntz
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | - Jonas D Finger
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | - Heike Hölling
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | - Michael Lange
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | - Elvira Mauz
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | - Gert B M Mensink
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | | | - Anja Schienkiewitz
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | - Anne Starker
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | - Johannes Zeiher
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| | - Bärbel-Maria Kurth
- Robert Koch Institute, Berlin Department of Epidemiology and Health Monitoring
| |
Collapse
|
9
|
Santos LS, Ribeiro DSS, Barreto ÍDC, Oliveira VHFD, Silva DRPD, Menezes AS. Association between insufficient level of physical activity and multiple health risk behaviors in adolescents. MOTRIZ: REVISTA DE EDUCACAO FISICA 2019. [DOI: 10.1590/s1980-6574201900030003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Lucas Souza Santos
- Grupo de Pesquisa em Educação Física e Saúde, Brasil; Secretaria de Educação básica do Município de Aracaju, Brasil
| | | | | | | | | | - Aldemir Smith Menezes
- Grupo de Pesquisa em Educação Física e Saúde, Brasil; Universidade Federal de Sergipe, Brazil; Instituto Federal de Educação, Ciência e Tecnologia de Sergipe, Brazil
| |
Collapse
|