Evidence of longitudinal studies (n = 5) |
Britto et al.,1212 Brito CFA, Andrade DR, Araujo TL, Matsudo VKR. Estabilidade da aptidao fisica entre a infancia e a adolescencia. Rev Bras Ativ Fís Saúde1999;4(1):5-12.
|
|
Ilhabela, SP |
|
44 school children (9.5 to 14.7 ± 1.87) |
|
100 |
|
To investigate the stability of PF from childhood to adolescence |
Conte et al.,1313 Conte M, Gonçalves A, Aragon FF, Padovani CR. Influência da massa corporal sobre a aptidão física em adolescentes: estudo a partir de escolares do ensino fundamental e médio de Sorocaba/SP. Rev Bras Med Esporte 2000;6(2):44-9.
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|
Sorocaba, SP |
|
56 school children (10-17 years old) |
|
62.5 |
|
Influence of body mass on PF in adolescents |
Biássio et al.,2626 Biassio LG, Matsudo SMM, Matsudo VKR. Impacto da menarca nas variáveis antropométricas e neuromotoras da aptidão física, analisado longitudinalmente. Rev Bras Ciênc Mov 2004;12(2):97-101.
|
|
Ilhabela, SP |
|
62 girls(8-18 years old) |
|
NA |
|
Impact of menarche on PF anthropometric and neuromotor variables |
Da Silva et al.,3636 Silva SP, Beunen G, Prista A, Maia J. Short-term tracking of performance and health-related physical fitness in girls: the Healthy Growth in Cariri Study. JSports Sci 2013;31(1):104-13.
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|
Cariri, CE |
|
294 girls (8-14 years) |
|
NA |
|
To investigate the stability of PF from childhood to adolescence |
Ferrari et al.,2222 Ferrari GLM, Matsudo VKR, Fisberg M. Changes in physical fitness and nutritional status of schoolchildren in a period of 30 years (1980-2010). Rev Paul Pediatr 2015;33(4):415-22.
|
|
Ilhabela, SP |
|
1,291 students (10-11 years) |
|
NA |
|
To analyze and compare the changes in PF according to nutritional status and sex in schoolchildren in a period of 30 years. |
Evidence from cross-sectional studies (n = 22) |
Schneider el al.,1414 Schneider P, Rodrigues LA, Meyer F. Dinamometria computadorizada comometodologia de avaliação da força muscular de meninos e meninas em diferentes estágios de maturidade. Rev Paul Educ Fís 2002;16(1):35-42.
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|
Porto Alegre, RS |
|
57 students (7-15 years) |
|
49.1 |
|
To compare isometric and isokinetic MS in boys and girls. |
Ulbrich et al.,1515 Ulbrich AZ, Bozza R, Machado HS, Michelin A, Vasconcelos IQA, Stabelini-Neto A, et al. Physical fitness in children and adolescents in diferents maturacion stages. Fit Perf J 2007;6(5):277-82.
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|
Curitiba, PR |
|
275 school children (6-16 years old) |
|
71.2 |
|
Compare PF according to stages of sexual maturation. |
Linhares et al.,3232 Linhares RV, Matta MO, Lima JRP, Dantas PMS, Costa MB, Fernandes-Filho J. Effects of sexual maturation on body composition, dermatoglyphics, somatotype and basic physical qualities of adolescents. Arq Bras Endocrinol Metab 2009;53(1):47-54.
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|
Juiz de Fora, MG |
|
136 school children (10-14 years) |
|
100 |
|
To describe how body composition, somatotype, basic physical qualities, dermatoglyphs and bone age behave in the various stages of sexual maturation. |
Luguetti et al.,1616 Luguetti CN, Nicolai AHR, Böhme MTS,. Indicators of physical fitness in school children from the midwest region of Sao Paulo City. Rev Bras Cineantropom Desempenho Hum 2010;12(5):331-7.
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|
São Paulo, SP |
|
3,145 school children (7-16 years old) |
|
50.5 |
|
Measure PF indicators in children and adolescents, according to chronological age and gender, and classify their performance through normative tables of the PROESP-BR. |
Silva and Cabral de Oliveira,33 Silva DAS, Oliveira ACC. Impact of sexual maturation on upper and lowerlimb strength on adolescents. Rev Bras Cineantropom Desempenho Hum2010;12(3):144-50.
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|
São Cristóvão, SE |
|
128 girls (11-14 years) |
|
NA |
|
Impact of sexual maturation on upper and lower limb strength in adolescents |
Ferreira et al.,1717 Ferreira ACC, Shimano AC, Mazzer N, Barbieri CH, Elui VMC, Fonseca MCR,. Grip and pinch strength in healthy children and adolescents. Acta Ortop Bras 2011;19(2):92-7.
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|
São Paulo |
|
199 school children (6-19 years) |
|
40.7 |
|
Determine and compare HGS values and pinch. |
Arruda et al.,1919 Arruda GA, Pianca HJC, Oliveira AR. Correlação do teste de 1RM com aspectos maturacionais, neuromotores, antropométricos e a composição corporal em criançase adolescentes. Rev Bras Med Esporte 2011;17(3):179-83.
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|
Londrina, PR |
|
10 students (10.2 ± 2.2) |
|
100 |
|
To analyze the relationship between 1MR tests with body composition, anthropometric variables, neuromotor tests and biological maturation. |
Santos et al.,3333 Santos MM, Wellington-Barros J, Brito-Almeida M, Manhães-de-Castro R,Maia J, Góis Leandro C. Permanent deficits in handgrip strength and running speed performance in low birth weight children. Am J Hum Biol 2013;25(1):58-62.
|
|
Vitória de Santo Antão, PE |
|
356 school children (7-10 years) |
|
55.0 |
|
To identify the influence of low birth weight on PF. |
Lopes et al.,77 Lopes W, Leite N, Silva L, Junior FM, Consentino C, Araújo C, et al. Influência da obesidade na força muscular de membros inferiores e superiores em adolescentes.Rev Bras Ativ Fís Saúde 2013;18(6):720-729.
|
|
Maringá, PR |
|
36 girls(13-17 years old) |
|
NA |
|
To compare LLS and ULS among obese and non-obese adolescents and to verify the association of MS with anthropometric variables and body composition. |
Minatto et al.,2727 Minatto G, Nascimento TBR, Ribeiro RR, Santos KD, Petroski EL. A associacao entre a adiposidade corporal e a aptidao musculoesqueletica em meninos e mediada pelo nivel economico? Rev Bras Cineantropom Desempenho Hum2014;16(1):116-28.
|
|
Cascavel, PR |
|
1,531 school children (6-17 years) |
|
100 |
|
To estimate the prevalence of high adiposity and its association with musculoskeletal fitness, by economic level, in male children and adolescents. |
Freitas et al.,3535 Freitas AS, Figueiredo AJB, Freitas ALR, Rodrigues VD, Cunha AAC, Deusdará FF, et al. Biological maturation, body morphology and physical performance in 8-16year-old obese girls from Montes Claros - Mg. J Hum Kinet 2014;43(1):169-76.
|
|
Montes Claros, MG |
|
2,040 girls (8-15.9 years) |
|
NA |
|
To identify the relationship between biological maturation, body morphology and physical performance. |
Matsudo et al.,2020 Matsudo VKR, Matsudo SM, Rezende LFM, Raso V,. Handgrip strength as a predictor of physical fitness in children and adolescents. Rev Bras Cineantropom Desempenho Hum 2014;17(1):1-10.
|
|
Ilhabela, SP |
|
233 school children (10-17 years old) |
|
54.9 |
|
To examine the association between FPM and PF in children and adolescents of different stages of sexual maturation. |
De Farias et al.,2121 Farias JP, Faria WF, Marques RGE, Antunes M, Stabelini-Neto A, Santos CF. Correlação da força muscular com indicadores antropométricos, estágio maturacional e testes neuromotores em adolescentes. Rev Bras Ciênc Mov 2015;23(2):81-8.
|
|
Jacarezinho, PR |
|
21 students (12-16 years) |
|
57.1 |
|
Correlating MS with anthropometric indicators, maturational stage, neuromotor tests in adolescents. |
Barbosa et al.,2828 Barbosa JPDAS, Basso L, Seabra A, Prista A, Tani G, Maia JAR, et al. Relationship between physical activity, physical fitness and multiple metabolic risk in youthsfrom Muzambinho’s study. Eur J Sports Sci 2016;16(5):618-23.
|
|
Muzambinho,MG |
|
122 school children (9.9 ± 1.3) |
|
53.2 |
|
To investigate the association between PA and PF indicators with clusters of metabolic risk factors. |
Mello et al.,3030 Mello JB, Nagorny GAK, Haiachi MC, Gaya AR, Gaya ACA. Projeto Esporte Brasil: perfil da aptidão física relacionada ao desempenho esportivo de crianças e adolescentes. Rev Bras Cineantropom Desempenho Hum 2016;18(6):658-66.
|
|
13 Brazilian states and FD |
|
8,750 school children (7-17 years old) |
|
ND |
|
To outline the PF profile related to the sports performance of Brazilian children and adolescents. |
Brandão et al.,2929 Brandão CF, Fontes JHQ, Zavala AAZ, Fett WCR, Santos RJ, Fett CA. Reference index and reduction in physical fitness tests proposed by PROESP-BR. Motriz: J Phys Ed 2016;22(1):48-53.
|
|
Cuiabá, MT |
|
414 school children (15-17 years) |
|
55.3 |
|
Create index for PF tests based on the parameters of PROESP-BR. |
Pires et al.,2323 Pires AL, Soares SS, Welser L, Silva CF, Sehn AP, Kern DG, et al. Association between commuting to school and physical fitness related to motor performance in schoolchildren. Rev Epidemiol Control Infect 2017;7(3)189-193.
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|
Santa Cruz do Sul, RS |
|
751 school children (7-17 years old) |
|
41.5 |
|
To test association between school dislocation and PF related to motor performance in schoolchildren. |
Nunes et al.,2424 Nunes HEG, Alves-Junior CA, Goncalves ECA, Silva DAS. What Physical Fitness Component Is Most Closely Associated With Adolescents’ Blood Pressure? Percept Mot Skills 2017;124(6):1107-20.
|
|
São José, SC |
|
1,117 school children (14-19 years old) |
|
ND |
|
To identify the relationship between PF with changes in blood pressure (systolic and diastolic). |
Lima and Silva,88 Lima TR, Silva DAS. Clusters of negative health-related physical fitness indicators and associated factors in adolescents. Rev Bras Cineantropom Desempenho Hum 2017;19(4):436-49.
|
|
São José, SC |
|
866 school children (14-19 years) |
|
46.8 |
|
To identify the relationship between clusters of PF indicators and sociodemographic and lifestyle factors. |
Hobolt et al.,3131 Hobold E, Pires-Lopes V, Gomez-Campos R, Arruda M, Andruske CL, Pacheco-Carrillo J, et al. Reference standards to assess physical fitness of children and adolescents of Brazil: an approach to the students of the Lake Itaipu region-Brazil.Peer J 2017;5:e4032.
|
|
Lago de Itaipu, RJ |
|
5,962 school children (6-17.9 years) |
|
49.2 |
|
Develop standards to classify PF |
Silva and Martins2525 Silva DAS, Martins PC. Impact of physical growth, body adiposity and lifestyle on muscular strength and cardiorespiratory fitness of adolescents. J Bodyw Mov Ther 2017;21(4):896-901.
|
|
São José, SC |
|
922 school children (14-19 years) |
|
47.1 |
|
To investigate the impact of physical growth, body fat and lifestyle on cardiorespiratory fitness and MS in pubertal and pubescent adolescents. |
Silva et al.,99 Silva DAS, Pelegrini A, Castro JAC, Lima TR, Sousa GR, Silva JMFL, et al. Low handgrip strength levels among adolescents in a city in southern Brazil. J Bodyw Mov Ther 2017;21(4):884-889.
|
|
Florianópolis,SC |
|
636 school children (14-19 years) |
|
36.1 |
|
To estimate the prevalence of low levels of HGS and related sociodemographic and lifestyle factors. |