Objective
To assess postural stability, specifically center of body sway during single-leg standing balance, among individuals with and without forward head posture (FHP) during smartphone use.
Methods
The research recruited 53 healthy smartphone users, aged 18–25, and categorized them into FHP group comprising 26 subjects and the normal (control) group with 27 subjects. Participants were assigned the task of maintaining balance while engaged in smartphone typing during single-leg standing. The experiment involved four specific conditions according to neck posture and stable of surface. The study meticulously quantified body center of pressure (COP) sway amplitudes using the Nintendo Wii Balance Board.
Results
The research revealed that individuals with FHP exhibited significantly greater body sway compared to the control group when using smartphones. Notably, distinct variations were observed in path length sway, anteroposterior (AP), and mediolateral (ML) sway amplitude, particularly evident when maintaining flexed neck positions on a soft surface while engaged with smartphones.
Conclusion
These findings strongly suggest that individuals with FHP encounter deteriorated postural stability during smartphone use, particularly in challenging head positions.

Citations

• Validity of a qualitative visual method for diagnosing forward head posture
  Shohei Shibasaki, Tomonori Kishino, Yoriko Sei, Keiichiro Harashima, Konomi Sakata, Hiroaki Ohnishi, Takashi Watanabe
  Musculoskeletal Science and Practice.2025; 76: 103282.     CrossRef
• Assessment of balance in overweight and obese young adults: utilizing centre of pressure displacement variables in the single leg sit-to-stand test
  Noppharath Sangkarit, Weerasak Tapanya, Patchareeya Amput, Chananya Muangchuen, Piyaporn Seeta, Worrasak Paleeta
  International Journal of Adolescence and Youth.2025;[Epub]     CrossRef
• Evaluating fall risk in community-dwelling older adults through balance assessment with the Nintendo Wii Balance Board
  Weerasak Tapanya, Noppharath Sangkarit, Puttipong Poncumhak, Saisunee Konsanit
  Human Movement.2025; 26(1): 161.     CrossRef
• Knowledge on text neck syndrome among paramedical students
  Anugraha Puthalan Kunnath, Sankeerthana Rameshan, Deena Vachal Sudheendran, Fathima Rouff, Akash Chandran, Sabna Pulikka Kkunnil
  International Journal Of Community Medicine And Public Health.2025; 12(7): 3055.     CrossRef

Objective
To formulate an equation estimating months to independent walking in moderate to late preterm infants based on neonatal characteristics and gross motor development from 7 months to independent walking.
Methods
Sixty infants born between 32 to 36 weeks were assessed using Alberta Infant Motor Scale (AIMS) for gross motor development. Neonatal characteristics were recorded at 7 months, and caregiver-reported independent walking onset. Pearson correlation analyzed age, AIMS scores, and neonatal factors. Multiple regression developed the prediction equation.
Results
The equation for independent walking onset, which included gestational age (GA) at birth, total AIMS score at 10 months of age (10th AIMS), and birth head circumference (BHC), exhibited a strong correlation (r=0.707) and had a predictive power of 50.0%. The equation is as follows: age onset of independent walking (months)=33.157, -0.296 (GA), -0.132 (10th AIMS), -0.196 (BHC), with an estimation error of 0.631 months.
Conclusion
Neonatal characteristics, such as GA, 10th AIMS, and BHC, are key determinants in estimating the onset of independent walking in moderate to late preterm infants.