# Improving the identification of bone‐specific physical activity using wrist‐worn accelerometry: A cross‐sectional study in 11–12‐year‐old Australian children

**Authors:** Gemma Brailey, Brad Metcalf, Lisa Price, Sean Cumming, Alex Rowlands, Timothy Olds, Peter Simm, Melissa Wake, Victoria Stiles

PMC · DOI: 10.1002/ejsc.12122 · European Journal of Sport Science · 2024-05-04

## TL;DR

This study finds that short bursts of high-intensity physical activity, measured using improved wrist-worn accelerometers, are most beneficial for bone health in children.

## Contribution

The study introduces improved accelerometry methods using 1-second epochs and 50 mg intensity thresholds to better identify bone-specific physical activity.

## Key findings

- Physical activity above 700 mg intensity (equivalent to running ~10 km/h) was positively associated with bone density and strength in children.
- Using 1-second epochs and incremental intensity thresholds improved the identification of bone-relevant physical activity.
- Traditional methods underestimated the impact of short, high-intensity activity bursts on bone health.

## Abstract

Physical activity (PA) during childhood and adolescence is important for the accrual of maximal peak bone mass. The precise dose that benefits bone remains unclear as methods commonly used to analyze PA data are unsuitable for measuring bone‐relevant PA. Using improved accelerometry methods, this study identified the amount and intensity of PA most strongly associated with bone outcomes in 11–12‐year‐olds. Participants (n = 770; 382 boys) underwent tibial peripheral quantitative computed tomography to assess trabecular and cortical density, endosteal and periosteal circumference and polar stress‐strain index. Seven‐day wrist‐worn raw acceleration data averaged over 1‐s epochs was used to estimate time accumulated above incremental PA intensities (50 milli‐gravitational unit (mg) increments from 200 to 3000 mg). Associations between time spent above each 50 mg increment and bone outcomes were assessed using multiple linear regression, adjusted for age, sex, height, weight, maturity, socioeconomic position, muscle cross‐sectional area and PA below the intensity of interest. There was a gradual increase in mean R
2 change across all bone‐related outcomes as the intensity increased in 50 mg increments from >200 to >700 mg. All outcomes became significant at >700 mg (R
2 change = 0.6%–1.3% and p = 0.001–0.02). Any further increases in intensity led to a reduction in mean R
2 change and associations became non‐significant for all outcomes >1500 mg. Using more appropriate accelerometry methods (1‐s epochs; no a priori application of traditional cut‐points) enabled us to identify that ∼10 min/day of PA >700 mg (equivalent to running ∼10 km/h) was positively associated with pQCT‐derived measures of bone density, geometry and strength in 11–12‐year‐olds.

Accelerometry methods that are commonly used to assess free‐living, bone‐relevant physical activity (PA) are not well suited to measuring bone‐specific characteristics of PA (short bursts of high‐impact activity).Processing raw acceleration data using much shorter epochs (1‐s) and using incremental 50 mg intensity thresholds (rather than traditional, broad intensity thresholds) enabled a bone‐specific, beneficial intensity to be identified.The methods outlined provide a means for more precisely assessing free‐living bone‐relevant PA and permit the transparent and reproducible analysis of raw accelerometry data, which will enhance our ability to quantify dose‐response associations in the future.

Accelerometry methods that are commonly used to assess free‐living, bone‐relevant physical activity (PA) are not well suited to measuring bone‐specific characteristics of PA (short bursts of high‐impact activity).

Processing raw acceleration data using much shorter epochs (1‐s) and using incremental 50 mg intensity thresholds (rather than traditional, broad intensity thresholds) enabled a bone‐specific, beneficial intensity to be identified.

The methods outlined provide a means for more precisely assessing free‐living bone‐relevant PA and permit the transparent and reproducible analysis of raw accelerometry data, which will enhance our ability to quantify dose‐response associations in the future.

## Full-text entities

- **Diseases:** osteoporosis (MESH:D010024), PDS (MESH:C536648), fracture (MESH:D050723), PA (MESH:D059445)
- **Chemicals:** VPA (MESH:D014635), water (MESH:D014867), ENMO (-)
- **Species:** Bos taurus (bovine, species) [taxon 9913], Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC11235707/full.md

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11235707/full.md

## References

57 references — full list in the complete paper: https://tomesphere.com/paper/PMC11235707/full.md

---
Source: https://tomesphere.com/paper/PMC11235707