Epidemiology and Management of Chronic Low Back Pain

Chronic low back pain is one of the foremost contributors to years lived with disability worldwide, affecting an estimated 20–23 percent of the adult population at any given time. Prevalence rises steadily from early adulthood, peaking in mid‐life, and displays notable variation across regions owing to differences in occupational exposures, lifestyle factors and health-care access. The condition arises from a complex interplay of structural spinal changes, neuromuscular dysfunction and psychosocial influences. Management guidelines uniformly advocate a biopsychosocial and multidisciplinary approach, combining patient education, tailored exercise programmes, spinal manipulation, analgesic regimens and cognitive behavioural techniques. Stratified care models that assess prognostic indicators enable personalised treatment pathways, aiming to restore function and minimise recurrences. Preventive strategies at a population level focus on ergonomic workplace design, promotion of physical activity and early rehabilitation. Despite modest declines in age-standardised rates over recent decades, the absolute burden continues to grow in line with population ageing and rising rates of obesity, placing sustained demands on health systems and economies across both high-income and resource-limited settings.

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Epidemiology and Management of Chronic Low Back Pain publication trend

The graph below shows the total number of articles in epidemiology and management of chronic low back pain across all publications each year (not limited to Nature Index journals).

Technical terms

Prevalence: The proportion of a population affected by a condition at a given time.

Years lived with disability (YLDs): A measure of the burden of health problems that captures years spent in less than full health.

Epigenetic biomarkers: Molecular indicators arising from modifications to gene expression that do not alter DNA sequence, with potential diagnostic or prognostic value.

Natural language processing (NLP): A field of artificial intelligence focused on interpreting and analysing human language in text form to extract meaningful information.

References

1. Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. The Lancet Rheumatology (2023).
2. Epigenetic Factors Related to Low Back Pain: A Systematic Review of the Current Literature. International Journal of Molecular Sciences (2023).
3. Identifying Risk Factors Associated With Lower Back Pain in Electronic Medical Record Free Text: Deep Learning Approach Using Clinical Note Annotations. JMIR Medical Informatics (2023).