Tracking of Physical Fitness Components from Childhood to Adolescence: A Longitudinal Study

True, Larissa; Martin, Eric; Pfeiffer, Karin A.; Siegel, Shannon R.; Branta, Crystal F.; Haubenstricker, John; Seefeldt, Vern

doi:10.1080/1091367x.2020.1729767

Cited by 20 publications

(32 citation statements)

References 46 publications

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Section: Discussionsupporting

confidence: 78%

“…The tracking coe cients derived from our data our similar, compared to previous studies conducted in youth [13,18,22,23]. A recent longitudinal study showed that the tracking coe cients for similar tness test assessments ranged between 0.59 and 0.83 between ages 15 y and 18 y [13]. Pate et al [18] tracked cardiorespiratory and muscular tness assessed by the Physical Work Capacity 170 test and handgrip strength and found moderate tracking coe cients (r=0.53) in girls.…”

Section: Discussionsupporting

confidence: 68%

“…Although collecting longitudinal data is relatively di cult to obtain, due to high costs, time and drop-out rates [13], several longitudinal physical tness analyses of different components are available in the literature [13][14][15][16][17][18][19][20][21][22][23][24][25]. In general, moderate to high tracking of physical tness has been observed, with the results being strongly dependent on sex [14][15][16], the follow-up period [17,18], the number of time-points being measured [19][20][21][22][23] and the selection of different tness tests [18,19,24].…”

Section: Introductionmentioning

confidence: 99%

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Tracking of health-related physical fitness in adolescent girls: a 3-year follow- up study

Kasović

Oreški

Vespalec

et al. 2022

Preprint

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BackgroundEvidence has shown that higher levels of physical fitness in youth have beneficial effects on adult health-related outcomes. However, the tracking of separate physical fitness components during adolescence has been less studied. Since physical fitness often starts to rapidly decline during adolescence, it is necessary to provide information regarding critical time-point for interventions. This study aimed to analyze the extent of tracking of several physical fitness tests. Methods In this longitudinal study, we recruited 240 adolescent girls with recoded data at 2 time-points (15 y and 17 y). Physical fitness included body composition (fat mass), explosive power of lower extremities (standing broad jump), muscle endurance of the trunk (sit-ups in 60 sec), flexibility (sit-and-reach test), muscle endurance of lower extremities (squats in 60 sec), aerobic endurance (the 800 m run test) and speed endurance (the 400 m run test). Tracking coefficients were calculated using generalized estimating equations. Tertiles (high, moderate and low) were calculated for each fitness component. Results The highest tracking coefficients between the two time-points were found for explosive power of lower extremities (β=0.98), followed by flexibility (β=0.89), body composition (β=0.88), speed endurance (β=0.86), aerobic endurance (β=0.75), muscle endurance of lower extremities (β=0.65), and muscle endurance of the trunk (β=0.51). Tertile ratings remained stable across the two time-points.ConclusionsModerate to high tracking of physical fitness in adolescent girls suggests that interventions aiming to increase the level of physical fitness should probably begin in early adolescence.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionsupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tracking of health-related physical fitness in adolescent girls: a 3-year follow- up study

Kasović

Oreški

Vespalec

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…Overall, the high prevalence of unhealthy performance-related physical fitness levels is in line with the results obtained by Mello et al [18] among 8750 Brazilian children and adolescents by using the PROESP-BR database. A recent tracking study conducted by true et al [19] evaluating 9 measures of physical fitness at 5 time points throughout childhood to adolescence/young adulthood demonstrated the importance of developing healthy physical fitness early in life since physical fitness levels track into young adulthood for boys (r: 0.29; 0.79) and girls (r: 0.23; 0.89); the same refers to the cardiometabolic risk factors from childhood to adolescence [20] and adulthood [5]. these findings suggest a potential future problem for our sample since being physically fit during childhood and adolescence is associated with a lower cardiometabolic risk later in life, as evidenced by a systematic review of longitudinal studies [21].…”

Section: Discussionmentioning

confidence: 99%

Low performance-related physical fitness levels are associated with clustered cardiometabolic risk score in schoolchildren: a cross-sectional study

Filho¹,

Reuter²,

Silveira³

et al. 2021

Hum Mov.

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PurposeThe study aim was to verify if there were associations between performance-related physical fitness levels and the clustered cardiometabolic risk score among children and adolescents.MethodsThe cross-sectional study involved 1200 (655 females) children and adolescents aged 7–17 years. Performancerelated physical fitness levels (upper limb strength [ULS], lower limb strength [LLS], agility, speed, and cardiorespiratory fitness [CRF]) were evaluated and categorized as healthy or unhealthy levels. Waist circumference, systolic blood pressure, glucose, and blood lipoprotein (triglycerides, total cholesterol, and high-density lipoprotein cholesterol) were measured. The clustered cardiometabolic risk score constituted the sum of internationally-derived standardized values (z-scores) for each risk factor divided by 5. Associations between performance-related physical fitness levels and the clustered cardiometabolic risk score were determined with linear regression models.ResultsParticipants with healthy ULS levels exhibited a less favourable clustered cardiometabolic risk score, whereas healthy levels of LLS, agility (only in girls), and CRF (only in boys) were related with a more favourable clustered cardiometabolic risk score. ULS (β: –0.091 [95% CI: –0.120; –0.062]), LLS (β: –0.272 [95% CI: –0.368; –0.177]), and CRF (β: –0.218 [95% CI: –0.324; –0.112]) were inversely associated with the clustered cardiometabolic risk score, while agility (β: 0.112 [95% CI: 0.082; 0.142]) and speed (β: 0.079 [95% CI: 0.039; 0.119]) demonstrated a positive association with the clustered cardiometabolic risk score.ConclusionsOur results emphasize the importance of following moderate-to-vigorous physical activity guidelines to better develop physical fitness levels for the maintenance of cardiometabolic health during childhood and adolescence.

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“…Coaching to improve physical fitness in students, namely Strength (Streng). Endurance, Mascular Power, Speed, Flexebility Agility, Coordination, Balance, Accuracy, Reaction [23][24][25][26]. Physical fitness can be defined as the ability to carry out daily activities without feeling excessively tired and still have reserves of energy to enjoy free time and activities that are sudden in nature.…”

Section: Introductionmentioning

confidence: 99%

A Study of Learning Physical Fitness Activities Based on Traditional Balinese Sports Games for Students' Physical Fitness

Kusuma¹,

Asmawi²,

Hernawan³

et al. 2021

saj

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The implementation of traditional game-based learning aimed at improving students' physical fitness is very important to do. Therefore, the purpose of this study was to determine the comparison of learning physical fitness activities based on traditional Balinese sports games for the physical fitness of students in junior high schools in Denpasar City. This study used a survey research design using a quantitative approach with a comparative descriptive design. Where, the sample in this study amounted to 200 junior high school students obtained based on cluster sampling technique. The instrument used was the ACSPFT test for junior high school students. The data analysis used includes descriptive statistics (mean, min, max, category) and inferential statistics using MANOVA followed by the Poshoc Tukey test and independent sample t-test. The integration of local wisdom in this case is traditional games in learning very well, in addition to strengthening and introducing local culture, integrating traditional games into learning will make it easier for teachers to teach the learning they want to teach, especially in Physical Education subjects. Physical education is very compatible with the character of traditional games that make children play, which contains elements of cognitive, affective, psychomotor. Moreover, Physical Education for junior high schools in its implementation must generate student interest in learning Physical Education, so one of the learning methods is by using traditional games. Traditional games can be used as an alternative in junior high school physical education. Because traditional games contain elements of play, they are not bound by many rules such as competition which will improve students' physical fitness. Due to the physical fitness of students will be formed, if physical activity is carried out continuously for a long time and is sustainable.

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Tracking of Physical Fitness Components from Childhood to Adolescence: A Longitudinal Study

Cited by 20 publications

References 46 publications

Tracking of health-related physical fitness in adolescent girls: a 3-year follow- up study

Tracking of health-related physical fitness in adolescent girls: a 3-year follow- up study

Low performance-related physical fitness levels are associated with clustered cardiometabolic risk score in schoolchildren: a cross-sectional study

A Study of Learning Physical Fitness Activities Based on Traditional Balinese Sports Games for Students' Physical Fitness

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