OBJECTIVE: The objective of this study was to use both generic and disease-specific functional measures examining relationships of clinical, psychologic, and individual factors with the functional status of neck pain patients. METHODS: Patients who visited a university-based spine clinic and reported neck pain were included in this study. A comprehensive computerized survey questionnaire was used to collect the information related to this study. The questionnaire also contained a generic measure, short form 12-item survey (SF-12), and a disease-specific measure, neck disability index (NDI). Correlation and multiple regression analysis were conducted to examine the relationships. RESULTS: A range of clinical, psychologic, and individual factors emerged to be significant predictors of the NDI or physical component of the SF-12 (PCS). The predictors of higher NDI included higher levels of neck pain, higher levels of back pain, higher levels of pain in arm or shoulder areas, not working, lower education, higher stress, the presence of depression or anxiety, and smoking. The predictors of lower PCS included not working, higher levels of back pain, higher levels of neck pain, lower education, female sex, the presence of cardiovascular disorders, the absence of cervical disk disorders, and older age. CONCLUSIONS: The predictors of the NDI or PCS appear to be multidimensional. Interventions designed to maximally improve the functional status of neck pain patients should be multifaceted and involve multidisciplinary teams. Selection of the most appropriate functional measures for an intervention study should consider differences between the generic and disease-specific measures in terms of their respective relationships with targeted factors. Prospective studies are needed to confirm the relationships observed in this study.
OBJECTIVE: The objective of this study was to use both generic and disease-specific functional measures examining relationships of clinical, psychologic, and individual factors with the functional status of neck painpatients. METHODS:Patients who visited a university-based spine clinic and reported neck pain were included in this study. A comprehensive computerized survey questionnaire was used to collect the information related to this study. The questionnaire also contained a generic measure, short form 12-item survey (SF-12), and a disease-specific measure, neck disability index (NDI). Correlation and multiple regression analysis were conducted to examine the relationships. RESULTS: A range of clinical, psychologic, and individual factors emerged to be significant predictors of the NDI or physical component of the SF-12 (PCS). The predictors of higher NDI included higher levels of neck pain, higher levels of back pain, higher levels of pain in arm or shoulder areas, not working, lower education, higher stress, the presence of depression or anxiety, and smoking. The predictors of lower PCS included not working, higher levels of back pain, higher levels of neck pain, lower education, female sex, the presence of cardiovascular disorders, the absence of cervical disk disorders, and older age. CONCLUSIONS: The predictors of the NDI or PCS appear to be multidimensional. Interventions designed to maximally improve the functional status of neck painpatients should be multifaceted and involve multidisciplinary teams. Selection of the most appropriate functional measures for an intervention study should consider differences between the generic and disease-specific measures in terms of their respective relationships with targeted factors. Prospective studies are needed to confirm the relationships observed in this study.
Authors: Christopher L Edwards; Alvin Killough; Mary Wood; Todd Doyle; Miriam Feliu; Camela S Barker; Priyanka Uppal; Laura DeCastro; Chante Wellington; Keith E Whitfield; Keisha-Gaye N O'Garo; Kai Morgan; Lekisha Y Edwards Alesii; Goldie S Byrd; Melanie McCabe; Veeraindar Goli; Abigail Keys; Labarron Hill; Janice Collins-McNeil; Jay Trambadia; Dariene Guinyard; Malik Muhammad; Patricia McDonald; Donald E Schmechel; Elwood Robinson Journal: Int J Psychiatry Med Date: 2014 Impact factor: 1.210
Authors: Graves T Owen; Brian M Bruel; C M Schade; Maxim S Eckmann; Erik C Hustak; Mitchell P Engle Journal: Proc (Bayl Univ Med Cent) Date: 2018-01-08
Authors: Tara W Strine; Jennifer M Hootman; Daniel P Chapman; Catherine A Okoro; Lina Balluz Journal: Am J Public Health Date: 2005-09-29 Impact factor: 9.308
Authors: Elizabeth Anderson-Peacock; Jean-Sébastien Blouin; Roland Bryans; Normand Danis; Andrea Furlan; Henri Marcoux; Brock Potter; Rick Ruegg; Janice Gross Stein; Eleanor White Journal: J Can Chiropr Assoc Date: 2005-09