Sixty young women completed five single-leg sit-to-stand transitions with a smartphone at S2. The highest-body-fat group took longer and showed different anteroposterior, mediolateral and vertical accelerations than the normal-fat group, while total acceleration did not differ. Smartphone sensing may be a low-cost movement measure, not a diagnostic test or proof of causation.
Key findings
- The severe-fat versus normal group showed posterior AP acceleration of -20.93 versus -11.31 cm/s2, ML 5.85 versus 1.38 and downward VT -13.09 versus -6.15. Completion time was 18.21 versus 11.72 seconds (p
Why this matters globally
If validated against reference instruments, smartphones could support movement screening, rehabilitation monitoring or exercise design where motion-analysis laboratories are unavailable.
Thai researcher contribution
Radiology, physical-therapy and internal-medicine researchers at the University of Phayao designed and interpreted the movement study in a Thai sample.
Limitations to consider
This cross-sectional comparison of 60 young women cannot separate strength, activity, height, fear or comorbidity effects. Smartphone measures were not validated against force plates, motion capture or EMG, and body-fat categories should not be used to stigmatise individuals.