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Biopsychosocial Model

Spinal Manipulation and Clinician-Supported Self-Management for Preventing Chronic Low Back Pain Impact: The PACBACK Randomized Clinical Trial

By |June 10, 2026|Biopsychosocial Model, Low Back Pain|

Spinal Manipulation and Clinician-Supported Self-Management for Preventing Chronic Low Back Pain Impact: The PACBACK Randomized Clinical Trial

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SOURCE:   JAMA Intern Med 2026 (Jun 1): e261893
Gert Bronfort, PhD, DC • Eric N. Meier, MS • Brent Leininger, PhD, DC, MS • Michael Schneider, PhD, DC • Roni Evans, PhD, DC, MS1 • Carol Greco, PhD et al

Integrative Health and Wellbeing Research Program,
Earl E. Bakken Center for Spirituality & Healing,
University of Minnesota, Minneapolis.



Importance:   Acute and subacute low back pain (LBP) often progresses to a chronic impactful back problem in patients with elevated risk. The most effective way to prevent this progression is unknown.

Objective:   To determine the effectiveness of spinal manipulation and clinician-supported biopsychosocial self-management vs medical care for preventing chronic impactful LBP.

Design, setting, and participants:   This 2 × 2 factorial randomized clinical trial was conducted in research clinics at the University of Minnesota and the University of Pittsburgh, Pennsylvania, from November 2018 to May 2023, with follow-up concluding in June 2024. Adults with acute or subacute LBP with a moderate to high risk of chronicity were included.

Interventions:   Four interventions were applied for 8 weeks: spinal manipulation therapy; supported self-management; combined spinal manipulation therapy and supported self-management; and guideline-based medical care. Spinal manipulation and supported self-management were provided by physical therapists and chiropractors.

Main outcomes and measures:   Mean LBP impact score per the US National Institutes of Health Task Force on Chronic LBP scale (8 [best] to 50 [worst]) during 10 to 12 months, responder analyses of group differences in the proportion of participants with at least 50% reductions. A reduction of 30% was considered the minimal clinically important within-patient difference. Secondary outcomes included measures of chronicity and LBP burden (ie, health care and medication use, productivity), important patient-reported outcomes (eg, improvement, satisfaction), biopsychosocial measures (eg, Patient-Reported Outcomes Measurement Information System), and potential mediating psychosocial measures (eg, self-efficacy, kinesiophobia, pain catastrophizing).

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Self-management at the Core of Back Pain Care:
10 Key Points for Clinicians

By |December 13, 2021|Biopsychosocial Model, Exercise and Chiropractic, Low Back Pain|

Self-management at the Core of Back Pain Care:
10 Key Points for Clinicians

The Chiro.Org Blog


SOURCE:   Braz J Phys Ther 2021 (Jul); 25 (4): 396–406

Alice Kongsted, Inge Ris, Per Kjaer, Jan Hartvigsen

Department of Sports Science and Clinical Biomechanics,
University of Southern Denmarkm
Odense M, Denmark;

Chiropractic Knowledge Hub,
Odense M, Denmark.



Background:   A paradigm shift away from clinician-led management of people with chronic disorders to people playing a key role in their own care has been advocated. At the same time, good health is recognised as the ability to adapt to changing life circumstances and to self-manage. Under this paradigm, successful management of persistent back pain is not mainly about clinicians diagnosing and curing patients, but rather about a partnership where clinicians help individuals live good lives despite back pain.

Objective:   In this paper, we discuss why there is a need for clinicians to engage in supporting self-management for people with persistent back pain and which actions clinicians can take to integrate self-management support in their care for people with back pain.

Discussion:   People with low back pain (LBP) self-manage their pain most of the time. Therefore, clinicians and health systems should empower them to do it well and provide knowledge and skills to make good decisions related to LBP and general health. Self-management does not mean that people are alone and without health care, rather it empowers people to know when to consult for diagnostic assessment, symptom relief, or advice. A shift in health care paradigm and clinicians’ roles is not only challenging for individual clinicians, it requires organisational support in clinical settings and health systems. Currently, there is no clear evidence showing how exactly LBP self-management is most effectively supported in clinical practice, but core elements have been identified that involve working with cognitions related to pain, behaviour change, and patient autonomy.

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A Scoping Review of Biopsychosocial Risk Factors

By |June 8, 2018|Biopsychosocial Model|

A Scoping Review of Biopsychosocial Risk Factors and Co-morbidities for Common Spinal Disorders

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SOURCE:   PLoS One. 2018 (Jun 1); 13 (6):e0197987

Bart N. Green, Claire D. Johnson, Scott Haldeman, Erin Griffith, Michael B. Clay, Edward J. Kane, Juan M. Castellote, Shanmuganathan Rajasekaran, Matthew Smuck, Eric L. Hurwitz, Kristi Randhawa, Hainan Yu, Margareta Nordin

Qualcomm Health Center,
Stanford Health Care,
San Diego, California


OBJECTIVE:   The purpose of this review was to identify risk factors, prognostic factors, and comorbidities associated with common spinal disorders.

METHODS:   A scoping review of the literature of common spinal disorders was performed through September 2016. To identify search terms, we developed 3 terminology groups for case definitions: 1) spinal pain of unknown origin, 2) spinal syndromes, and 3) spinal pathology. We used a comprehensive strategy to search PubMed for meta-analyses and systematic reviews of case-control studies, cohort studies, and randomized controlled trials for risk and prognostic factors and cross-sectional studies describing associations and comorbidities.

RESULTS:   Of 3,453 candidate papers, 145 met study criteria and were included in this review. Risk factors were reported for group 1: non-specific low back pain (smoking, overweight/obesity, negative recovery expectations), non-specific neck pain (high job demands, monotonous work); group 2: degenerative spinal disease (workers’ compensation claim, degenerative scoliosis), and group 3: spinal tuberculosis (age, imprisonment, previous history of tuberculosis), spinal cord injury (age, accidental injury), vertebral fracture from osteoporosis (type 1 diabetes, certain medications, smoking), and neural tube defects (folic acid deficit, anti-convulsant medications, chlorine, influenza, maternal obesity). A range of comorbidities was identified for spinal disorders.

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Rethinking the Fear Avoidance Model

By |June 12, 2017|Biopsychosocial Model, Fear Avoidance|

Rethinking the Fear Avoidance Model: Toward a Multidimensional Framework of Pain-related Disability

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SOURCE:   Pain. 2013 (Nov); 154 (11): 2262–2265


Timothy H. Wideman, Gordon G. J. Asmundson, Rob J. E. M Smeets, Alex J. Zautra,

School of Medicine,
Johns Hopkins University,
Baltimore, MD, USA.


Introduction

Nearly 20 years ago the Fear Avoidance Model (FAM) was advanced to explain the development and persistence of disabling low back pain. The model has since inspired productive research and has become the leading paradigm for understanding disability associated with musculoskeletal pain conditions. The model has also undergone recent expansion by addressing learning, motivation and self-regulation theory [10, 34]. In contrast to these extensions, however, one relatively constant aspect of the model is the recursive series of fear-related cognitive, affective, and behavioral processes shown in Figure 1 [31, 32, 34].

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The Biopsychosocial Model and Chiropractic

By |June 9, 2017|Biopsychosocial Model|

The Biopsychosocial Model and Chiropractic:
A Commentary with Recommendations for
the Chiropractic Profession

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SOURCE:   Chiropractic & Manual Therapies 2017 (Jun 7); 25: 16


Jordan A. Gliedt, Michael J. Schneider, Marion W. Evans, Jeff King and James E. Eubanks Jr

College of Chiropractic,
Logan University


There is an increasing awareness, interest and acceptance of the biopsychosocial (BPS) model by all health care professionals involved with patient care. The areas of spine care and pain medicine are no exception, and in fact, these areas of health care are a major centerpiece of the movement from the traditional biomedical model to a BPS model of patient assessment and delivery of care. The chiropractic approach to health care has a history that is grounded in key aspects of the BPS model. The profession has inherently implemented certain features of the BPS model throughout its history, perhaps without a full understanding or realization. The purpose of this paper is to present an overview of the BPS model, its relationship with spine care and pain management, and to discuss the BPS model, particularly psychosocial aspects, in the context of its historical relationship with chiropractic. We will also provide recommendations for the chiropractic profession as it relates to successful adoption of a full integration of the BPS model.

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Psychological and Behavioral Differences Between Low Back Pain Populations

By |February 25, 2017|Biopsychosocial Model, Chiropractic Care|

Psychological and Behavioral Differences Between Low Back Pain Populations: A Comparative Analysis of Chiropractic, Primary and Secondary Care Patients

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SOURCE:   BMC Musculoskelet Disord. 2015 (Oct 19); 16: 306


Andreas Eklund, Gunnar Bergström,
Lennart Bodin and Iben Axén

Karolinska Institutet,
Institute of Environmental Medicine,
Unit of Intervention and Implementation Research,
Nobels väg 13, S-171 77,
Stockholm, Sweden.


BACKGROUND:   Psychological, behavioral and social factors have long been considered important in the development of persistent pain. Little is known about how chiropractic low back pain (LBP) patients compare to other LBP patients in terms of psychological/behavioral characteristics.

METHODS:   In this cross-sectional study, the aim was to investigate patients with LBP as regards to psychosocial/behavioral characteristics by describing a chiropractic primary care population and comparing this sample to three other populations using the MPI-S instrument. Thus, four different samples were compared.

A: Four hundred eighty subjects from chiropractic primary care clinics.

B: One hundred twenty-eight subjects from a gainfully employed population (sick listed with high risk of developing chronicity).

C: Two hundred seventy-three subjects from a secondary care rehabilitation clinic.

D: Two hundred thirty-five subjects from secondary care clinics.

The Swedish version of the Multidimensional Pain Inventory (MPI-S) was used to collect data. Subjects were classified using a cluster analytic strategy into three pre-defined subgroups (named adaptive copers, dysfunctional and interpersonally distressed).

RESULTS:   The data show statistically significant overall differences across samples for the subgroups based on psychological and behavioral characteristics. The cluster classifications placed (in terms of the proportions of the adaptive copers and dysfunctional subgroups) sample A between B and the two secondary care samples C and D.

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