Feasibility of a Smartphone-Based Exercise Program for Office Workers With Neck Pain: An Individualized Approach Using a Self-Classification Algorithm.
Objective To explore the feasibility of a newly developed smartphone-based exercise program with an embedded self-classification algorithm for office workers with neck pain, by examining its effect on the pain intensity, functional disability, quality of life, fear avoidance, and cervical range of m...
| Publicado en: | Archives of Physical Medicine & Rehabilitation Vol. 98; no. 1; pp. 80 - 88 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
W B Saunders
Jan2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=120320272&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 120320272 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00039993 1XL jtl: Archives of Physical Medicine & Rehabilitation issn: 00039993 maglogo: N pubinfo: dt: Jan2017 vid: 98 iid: 1 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 120320272 120320272 120320272 10.1016/j.apmr.2016.09.002 120320272 ppf: 80 ppct: 8 formats: tig: atl: Feasibility of a Smartphone-Based Exercise Program for Office Workers With Neck Pain: An Individualized Approach Using a Self-Classification Algorithm. aug: au: Lee, Minyoung Lee, Sang Heon Kim, TaeYeong Yoo, Hyun-Joon Kim, Sung Hoon Suh, Dong-Won Son, Jaebum Yoon, BumChul affil: Department of Physical Therapy, College of Health Science, Korea University, Seoul, South Korea sug: subj: Smartphone Utilization Neck Pain Rehabilitation Neck Pain Classification Algorithms Therapeutic Exercise Functional Status Quality of Life Fear Range of Motion White Collar Workers Pain Measurement Visual Analog Scaling Disability Evaluation Short Form-36 Health Survey (SF-36) Clinical Assessment Tools Scales Questionnaires Prospective Studies P-Value Adult Female Male Human Adult: 19-44 years Female Male ab: Objective To explore the feasibility of a newly developed smartphone-based exercise program with an embedded self-classification algorithm for office workers with neck pain, by examining its effect on the pain intensity, functional disability, quality of life, fear avoidance, and cervical range of motion (ROM). Design Single-group, repeated-measures design. Setting The laboratory and participants' home and work environments. Participants Offices workers with neck pain (N=23; mean age ± SD, 28.13±2.97y; 13 men). Intervention Participants were classified as having 1 of 4 types of neck pain through a self-classification algorithm implemented as a smartphone application, and conducted corresponding exercise programs for 10 to 12min/d, 3d/wk, for 8 weeks. Main Outcome Measures The visual analog scale (VAS), Neck Disability Index (NDI), Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36), Fear-Avoidance Beliefs Questionnaire (FABQ), and cervical ROM were measured at baseline and postintervention. Results The VAS ( P <.001) and NDI score ( P <.001) indicated significant improvements in pain intensity and functional disability. Quality of life showed significant improvements in the physical functioning ( P =.007), bodily pain ( P =.018), general health ( P =.022), vitality ( P =.046), and physical component scores ( P =.002) of the SF-36. The FABQ, cervical ROM, and mental component score of the SF-36 showed no significant improvements. Conclusions The smartphone-based exercise program with an embedded self-classification algorithm improves the pain intensity and perceived physical health of office workers with neck pain, although not enough to affect their mental and emotional states. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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