04 May 2026 : Clinical Research
[In Press] Synergistic Effects of AI-Driven Remote Respiratory Rehabilitation and Cervical Stabilization Exercises on Forward Head Posture, Neck Pain, and Respiratory Function in Older Adults: A Randomized Controlled Trial
Youn-Joong Oh1ABDEF, Myung-Mo Lee2ACFGDOI: 10.12659/MSM.952496
Med Sci Monit In Press; DOI: 10.12659/MSM.952496
Available online: 2026-05-04, In Press, Corrected Proof
Publication in the "In-Press" formula aims at speeding up the public availability of the pending manuscript while waiting for the final publication. The assigned DOI number is active and citable. The availability of the article in the Medline, PubMed and PMC databases as well as Web of Science will be obtained after the final publication according to the journal schedule
Abstract
BACKGROUND
Forward head posture in older adults is associated with cervical–thoracic misalignment, chronic tension-type headache, and impaired respiratory mechanics. This study investigated the synergistic effects of combining cervical stabilization exercises with an AI-driven remote respiratory rehabilitation program.
MATERIAL AND METHODS
This randomized controlled trial enrolled 50 older adults with chronic neck pain and tension-type headache, who were randomly assigned to an experimental group (n=25) or a control group (n=25). After a 12% attrition rate, data from 44 participants (22 per group) who completed a 6-week intervention were analyzed. Both groups performed cervical stabilization exercises, while the experimental group additionally received AI-based remote respiratory training using real-time pressure-threshold analysis to deliver individualized progressive overload at 50% of maximal inspiratory and expiratory pressures (MIP/MEP). In contrast, the control group received a time-matched, conventional self-managed respiratory intervention. Outcomes included pain and disability (VAS, NDI), cervical alignment (CVA), headache impact (HIT-6), pulmonary function (FVC, FEV₁, PEF), respiratory muscle strength (MIP, MEP), and ultrasonographic diaphragmatic thickness.
RESULTS
Compared with the control group, the experimental group demonstrated significantly greater improvements in NDI (d=0.91), CVA (d=0.86), and HIT-6 (d=0.77) (P<0.05). Significant group-by-time interaction effects were observed for MIP (d=0.86) and diaphragmatic thickness during contraction (d=0.51). Pulmonary function parameters also improved to a greater extent in the experimental group.
CONCLUSIONS
Integrating AI-driven remote respiratory rehabilitation with cervical stabilization exercises provided a clinically meaningful and comprehensive approach for improving postural, respiratory, and headache-related outcomes in older adults with forward head posture.
Keywords: Diaphragm; Geriatrics; Neck Pain; Posture; Randomized Controlled Trial; Respiratory Muscles; Artificial Intelligence; Tele-rehabilitation
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