Predictors of self-management in patients with chronic low back pain: a longitudinal study

被引:8
|
作者
Banerjee, A. [1 ,2 ]
Hendrick, P. [3 ]
Blake, H. [3 ,4 ]
机构
[1] Keele Univ, Sch Allied Hlth Profess, Keele ST5 5BG, Staffs, England
[2] Nottingham CityCare Partnership C, Nottingham, England
[3] Univ Nottingham, Sch Hlth Sci, Nottingham, England
[4] NIHR Nottingham Biomed Res Ctr, Nottingham, England
关键词
Low back pain; Chronic low back pain; Self-management; Longitudinal study; Regression analysis; Predictors; Health education impact questionnaire; QUALITY-OF-LIFE; DEPRESSIVE SYMPTOMS; HEALTH-PROMOTION; INTERVENTIONS; EDUCATION; OUTCOMES; PEOPLE; DISABILITY; PROGRAM; HISTORY;
D O I
10.1186/s12891-022-05933-2
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Background: Self-management (SM) is a key recommended strategy for managing chronic low back pain (CLBP). However, SM programmes generate small to moderate benefits for reducing pain and disability in patients with CLBP. The benefits of the SM programme can potentially be optimised by identifying specific subgroups of patients who are the best responders. To date, no longitudinal study has examined the predictive relationships between SM and biopsychosocial factors in patients with CLBP. The aim was to determine whether biopsychosocial factors predict SM and its change over time in patients with CLBP. Methods: In this multi-centre longitudinal cohort study, we recruited 270 working-age patients with CLBP (mean age 43.74, 61% female) who consulted outpatient physiotherapy for their CLBP. Participants completed self-reported validated measures of pain intensity, disability, physical activity, kinesiophobia, catastrophising, depression and SM at baseline and six months. SM constructs were measured using eight subscales of the Health Education Impact Questionnaire (heiQ), including Health Directed Activity (HDA), Positive and Active Engagement in Life (PAEL), Emotional Distress (ED), Self-Monitoring and Insight (SMI), Constructive Attitudes and Approaches (CAA), Skill and Technique Acquisition (STA), Social Integration and Support (SIS) and Health Service Navigation (HSN). Data were analysed using General Linear Model (GLM) regression. Results: Physical activity and healthcare use (positively) and disability, depression, kinesiophobia, catastrophising (negatively) predicted (p < 0.05, R-2 0.07-0.55) SM constructs at baseline in patients with CLBP. Baseline depression (constructs: PAEL, ED, SMI, CAA and STA), kinesiophobia (constructs: CAA and HSN), catastrophising (construct: ED), and physical disability (constructs: PAEL, CAA and SIS) negatively predicted a range of SM constructs. Changes over six months in SM constructs were predicted by changes in depression, kinesiophobia, catastrophising, and physical activity (p < 0.05, R-2 0.13-0.32). Conclusions: Self-reported disability, physical activity, depression, catastrophising and kinesiophobia predicted multiple constructs of SM measured using the heiQ subscales in working-age patients with CLBP. Knowledge of biopsychosocial predictors of SM may help triage patients with CLBP into targeted pain management programmes.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] What do we mean by ‘self-management’ for chronic low back pain? A narrative review
    Tianyu Zhou
    David Salman
    Alison H. McGregor
    European Spine Journal, 2023, 32 : 4377 - 4389
  • [32] Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits
    Kheirinejad, Saba
    Visuri, Aku
    Suryanarayana, Sharadhi Alape
    Hosio, Simo
    HELIYON, 2023, 9 (06)
  • [33] Self-management of chronic low back pain: An exploration of the impact of a patient-centered website
    Zufferey, Maria Caiata
    Schulz, Peter J.
    PATIENT EDUCATION AND COUNSELING, 2009, 77 (01) : 27 - 32
  • [34] Recruiting seniors with chronic low back pain for a randomized controlled trial of a self-management program
    Groupp, E
    Haas, M
    Fairweather, A
    Ganger, B
    Attwood, K
    JOURNAL OF MANIPULATIVE AND PHYSIOLOGICAL THERAPEUTICS, 2005, 28 (02) : 97 - 102
  • [35] The efficacy of e-health in the self-management of chronic low back pain: A meta analysis
    Du, Shizheng
    Liu, Wen
    Cai, Shining
    Hu, Yan
    Dong, Jianshu
    INTERNATIONAL JOURNAL OF NURSING STUDIES, 2020, 106
  • [36] Self-management program for chronic low back pain: A systematic review and meta-analysis
    Du, Shizheng
    Hu, Lingli
    Dong, Jianshu
    Xu, Guihua
    Chen, Xuan
    Jin, Shengji
    Zhang, Heng
    Yin, Haiyan
    PATIENT EDUCATION AND COUNSELING, 2017, 100 (01) : 37 - 49
  • [37] What do we mean by self-management' for chronic low back pain? A narrative review
    Zhou, Tianyu
    Salman, David
    Mcgregor, Alison H.
    EUROPEAN SPINE JOURNAL, 2023, 32 (12) : 4377 - 4389
  • [38] Electronic Daily Diary Methodology Applied to Pain Self-Management for Comorbid Diabetes and Chronic Low Back Pain
    Reagan, Louise
    Starkweather, Angela
    Chyun, Deborah
    Tennen, Howard A.
    Walsh, Stephen J.
    Al Qadi, Mahmoud
    Young, Erin
    NURSING RESEARCH, 2020, 69 (03) : E36 - E36
  • [39] STUDY ON THE IMPROVEMENT OF MAITLAND COMBINED WITH SELF-MANAGEMENT ON SEDENTARY PEOPLE WITH LOW BACK PAIN
    Ma, Quansheng
    Song, Dejun
    Ma, Yubao
    Zhang, Lihua
    Mi, Lixin
    ACTA MEDICA MEDITERRANEA, 2021, 37 (01): : 387 - 393
  • [40] Neurophysiological and transcriptomic predictors of chronic low back pain: Study protocol for a longitudinal inception cohort study
    Starkweather, Angela
    Ward, Kathryn
    Eze, Bright
    Gavin, Ahleah
    Renn, Cynthia L.
    Dorsey, Susan G.
    RESEARCH IN NURSING & HEALTH, 2022, 45 (01) : 11 - 22