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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

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Related Experiment Video

Updated: Jun 7, 2026

Physical Activity Measurement in Children Accepting Table Tennis Training
06:51

Physical Activity Measurement in Children Accepting Table Tennis Training

Published on: July 27, 2022

Does controlling for biological maturity improve physical activity tracking?

Marta C Erlandson1, Lauren B Sherar, Amber D Mosewich

  • 1College of Kinesiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.

Medicine and Science in Sports and Exercise
|October 22, 2010
PubMed
Summary
This summary is machine-generated.

Physical activity tracking in youth is generally low. While biological age (BA) alignment showed slightly higher tracking in early adolescence for females, accounting for maturity had little overall effect on physical activity stability.

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Published on: March 7, 2019

Area of Science:

  • Pediatric Exercise Science
  • Adolescent Health
  • Growth and Development

Background:

  • Physical activity tracking from childhood to adolescence is typically low.
  • Variations in biological maturation timing among peers of the same chronological age may influence physical activity levels and tracking.
  • Understanding factors influencing physical activity stability is crucial for public health interventions.

Purpose of the Study:

  • To assess the stability of physical activity over time from childhood through late adolescence.
  • To compare physical activity tracking when aligned by chronological age (CA) versus biological age (BA).

Main Methods:

  • Longitudinal study of 187 participants (91 males, 96 females) aged 8-15 years, assessed annually for 8 years.
  • Biological age (BA) calculated as years from peak height velocity; physical activity assessed via questionnaire.
  • Tracking analyzed using intraclass correlations for 2-year intervals, comparing CA and BA alignments.

Main Results:

  • Moderate physical activity tracking observed by chronological age (CA) intervals in males (r=0.42-0.59) and females (r=0.43-0.44), with a low interval from 9-11 years.
  • Tracking by biological age (BA) intervals was moderate to high in males (r=0.44-0.60) and females (r=0.39-0.62).
  • Point estimates for tracking were higher in early adolescence when aligned by BA versus CA, particularly for females.

Conclusions:

  • Adjusting for biological maturity timing had minimal impact on overall physical activity tracking.
  • Biological age alignment revealed higher physical activity tracking in early adolescence, especially for females, suggesting maturity's greater role in female participation.
  • Findings highlight potential differences in how biological maturity influences physical activity stability between sexes.