Tải trọng tồn tại và cơn đau mãn tính: một phát hiện triển vọng từ khảo sát quốc gia về sự phát triển trong giữa đời ở Hoa Kỳ, 2004–2014

BMC Public Health - Tập 24 - Trang 1-12 - 2024
Yunlong Liang1, Cara Booker1
1Institute for Social and Economic Research, University of Essex, Colchester, UK

Tóm tắt

Nghiên cứu trước đây đã chứng minh mối tương quan giữa căng thẳng mãn tính và cơn đau mãn tính (CP). Tuy nhiên, có rất ít nghiên cứu xem xét mối liên hệ triển vọng của tải trọng tồn tại (AL) - các quá trình sinh học liên quan đến căng thẳng - với CP. Chúng tôi đã tiến hành phân tích lớp tiềm ẩn đầu tiên để xác định các kiểu hình của AL bằng cách sử dụng mẫu cư dân cộng đồng, khảo sát Midlife in the United States. Các mô hình hồi quy logistic đa thức đã được sử dụng để xem xét mối liên hệ triển vọng giữa các kiểu hình của AL trong dự án chỉ số sinh học MIDUS 2 và sự hiện diện của CP, ảnh hưởng của CP và số lượng vị trí CP tại MIDUS 3. Ba kiểu hình của AL, bao gồm rối loạn sinh học thấp, rối loạn thần kinh phó giao cảm và rối loạn chuyển hóa, đã được xác định. So với nhóm rối loạn sinh học thấp, những người tham gia gặp phải kiểu hình rối loạn chuyển hóa của AL tại MIDUS 2 có nguy cơ cao hơn gặp phải CP có ảnh hưởng cao (RRR = 2.00, 95% CI: 1.06, 3.79, P < 0.05) và 3 vị trí CP trở lên (RRR = 2.03, 95% CI: 1.08, 3.83, P < 0.05) tại MIDUS 3. Những phát hiện này chỉ ra rằng việc tập trung vào việc giảm thiểu kiểu hình rối loạn chuyển hóa của AL có khả năng là một chiến lược hiệu quả để giảm bớt sự lan tỏa của CP trong cơ thể và ảnh hưởng CP cao trong tương lai.

Từ khóa

#tải trọng tồn tại #cơn đau mãn tính #căng thẳng mãn tính #phân tích lớp tiềm ẩn #rối loạn sinh học #rối loạn chuyển hóa

Tài liệu tham khảo

Treede RD, Rief W, Barke A, Aziz Q, Bennett MI, Benoliel R, et al. Chronic pain as a symptom or a disease: the IASP classification of Chronic Pain for the International classification of diseases (ICD-11). Pain. 2019;160(1):19–27. Yong RJ, Mullins PM, Bhattacharyya N. Prevalence of chronic pain among adults in the United States. Pain. 2022;163(2):e328-332. Borsook D, Maleki N, Becerra L, McEwen B. Understanding migraine through the Lens of maladaptive stress responses: a model disease of allostatic load. Neuron. 2012;73(2):219–34. Rabey M, Moloney N. I don’t know why I’ve got this Pain! Allostasis as a possible explanatory model. Phys Ther. 2022;102(5):pzac017. Woda A, Picard P, Dutheil F. Dysfunctional stress responses in chronic pain. Psychoneuroendocrinology. 2016;71:127–35. McEwen BS, Stellar E. Stress and the Individual: mechanisms leading to Disease. Arch Intern Med. 1993;153(18):2093–101. Juster RP, McEwen BS, Lupien SJ. Allostatic load biomarkers of chronic stress and impact on health and cognition. Neurosci Biobehav Rev. 2010;35(1):2–16. McEwen BS. Stress, adaptation, and Disease: Allostasis and allostatic load. Ann N Y Acad Sci. 1998;840(1):33–44. Guidi J, Lucente M, Sonino N, Fava GA. Allostatic load and its impact on Health: a systematic review. Psychother Psychosom. 2021;90(1):11–27. Abdallah CG, Geha P. Chronic Pain and chronic stress: two sides of the same Coin? Chronic Stress. 2017;1:247054701770476. Nelson S, Bento S, Enlow MB. Biomarkers of allostatic load as correlates of Impairment in Youth with Chronic Pain: an initial investigation. Children. 2021;8(8): 709. Wippert PM, Puerto Valencia L, Drießlein D. Stress and Pain. Predictive (Neuro)Pattern Identification for Chronic Back Pain: a longitudinal observational study. Front Med. 2022;9: 828954. Generaal E, Vogelzangs N, Macfarlane GJ, Geenen R, Smit JH, de Geus EJCN, et al. Biological Stress Systems, adverse life events, and the improvement of chronic Multisite Musculoskeletal Pain across a 6-Year Follow-Up. J Pain. 2017;18(2):155–65. Slade GD, Sanders AE, By K. Role of allostatic load in sociodemographic patterns of Pain Prevalence in the U.S. Population. J Pain. 2012;13(7):666–75. Sibille KT, McBeth J, Smith D, Wilkie R. Allostatic load and pain severity in older adults: results from the English Longitudinal Study of Ageing. Exp Gerontol. 2017;88:51–8. Carbone JT, Clift J, Alexander N. Measuring allostatic load: approaches and limitations to algorithm creation. J Psychosom Res. 2022;163: 111050. Carbone JT. Allostatic load and mental health: a latent class analysis of physiological dysregulation. Stress. 2021;24(4):394–403. Forrester SN, Leoutsakos JM, Gallo JJ, Thorpe RJ, Seeman TE. Association between allostatic load and health behaviours: a latent class approach. J Epidemiol Community Health. 2019;73(4):340–5. Bonica JJ, Hoffman JF. The Management of Pain with special emphasis on the Use of Analgesic blocks in diagnosis, prognosis, and Therapy. Anesth Analgesia. 1954;34(5):57–8. Ryff CD, Seeman T, Weinstein M. Midlife in the United States (MIDUS 2): Biomarker Project, 2004–2009. Inter-university Consortium for Political and Social Research [distributor]; 2022. Carbone JT, Holzer KJ, Clift J, Fu Q. Latent profiles of biological dysregulation and risk of mortality: time-to-event analysis using the midlife in the US longitudinal study. J Epidemiol Community Health. 2023;77(3):182–8. McEwen BS, Seeman T. Protective and Damaging effects of mediators of stress: elaborating and testing the concepts of Allostasis and allostatic load. Ann N Y Acad Sci. 1999;896(1):30–47. Weller BE, Bowen NK, Faubert SJ. Latent class analysis: a guide to best practice. J Black Psychol. 2020;46(4):287–311. Sinha P, Calfee CS, Delucchi KL. Practitioner’s guide to latent class analysis: methodological considerations and common pitfalls. Crit Care Med. 2021;49(1):e63-79. Jensen MP. Measuring pain interference. In: The pain stethoscope: A clinician’s guide to measuring pain. Tarporley: Springer Healthcare Ltd.; 2011 . p. 23–7. Available from: http://link.springer.com/https://doi.org/10.1007/978-1-908517-43-2_6. Cited 2022 Nov 9. Li R, Chapman BP, Smith SM. Blood dehydroepiandrosterone and Dehydroepiandrosterone Sulfate as Pathophysiological correlates of Chronic Pain: analyses using a national sample of midlife adults in the United States. Pain Med. 2021;22(2):243–54. Li R, Kreher DA, Jusko TA, Chapman BP, Bonham AD, Seplaki CL. Prospective Association between Dysmenorrhea and Chronic Pain Development in Community-Dwelling women. J Pain. 2021;22(9):1084–96. Mills SEE, Nicolson KP, Smith BH. Chronic pain: a review of its epidemiology and associated factors in population-based studies. Br J Anaesth. 2019;123(2):e273-283. Diemer MA, Mistry RS, Wadsworth ME, López I, Reimers F. Best practices in conceptualizing and measuring Social Class in Psychological Research: Social Class Measurement. Anal Soc Issues Public Policy. 2013;13(1):77–113. United States Census Bureau. Poverty Thresholds by Size of Family and Number of Children. 2022. Poverty Thresholds by Size of Family and Number of Children. Available from: https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html. Office of Disease Prevention and Health Promotion. 2008 Physical Activity Guidelines for Americans. 2008 . Available from: https://health.gov/our-work/nutrition-physical-activity/physical-activity-guidelines/previous-guidelines/2008-physical-activity-guidelines. Cited 2022 Oct 26. Graves KY, Nowakowski ACH. Childhood socioeconomic status and stress in late adulthood: a Longitudinal Approach to measuring allostatic load. Global Pediatr Health. 2017;4:2333794X1774495. Misiak B, Stańczykiewicz B, Pawlak A, Szewczuk-Bogusławska M, Samochowiec J, Samochowiec A, et al. Adverse childhood experiences and low socioeconomic status with respect to allostatic load in adulthood: a systematic review. Psychoneuroendocrinology. 2022;136: 105602. Diederichs C, Berger K, Bartels DB. The measurement of multiple chronic Diseases—A systematic review on existing Multimorbidity indices. The J Gerontol: Series A. 2011;66A(3):301–11. He Y. Missing Data Analysis using multiple imputation. Circulation: Cardiovasc Qual Outcomes. 2010;3(1):8. Sterne JAC, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ. 2009;338(jun29 1):b2393-2393. van Buuren S, Groothuis-Oudshoorn K. MICE: Multivariate Imputation by Chained Equations in R. J Stat Soft. 2011 ;45(3). Available from: http://www.jstatsoft.org/v45/i03/. Cited 2023 Mar 25. Carpenter J, Bithell J. Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians. Statist Med. 2000;19(9):1141–64. Loevinger BL, Muller D, Alonso C, Coe CL. Metabolic syndrome in women with chronic pain. Metabolism. 2007;56(1):87–93. Sibille KT, Steingrímsdóttir ÓA, Fillingim RB, Stubhaug A, Schirmer H, Chen H, et al. Investigating the Burden of Chronic Pain: an inflammatory and metabolic composite. Pain Res Manage. 2016;2016:1–11. Jensen MP, Tomé-Pires C, de la Vega R, Galán S, Solé E, Miró J. What determines whether a Pain is rated as mild, moderate, or severe? The Importance of Pain beliefs and Pain Interference. Clin J Pain. 2017;33(5):414–21. Ghafouri B, Edman E, Löf M, Lund E, Leinhard OD, Lundberg P, et al. Fibromyalgia in women: association of inflammatory plasma proteins, muscle blood flow, and metabolism with body mass index and pain characteristics. PAIN Rep. 2022;7(6):e1042. Hussain SM, Urquhart DM, Wang Y, Shaw JE, Magliano DJ, Wluka AE, et al. Fat mass and fat distribution are associated with low back pain intensity and disability: results from a cohort study. Arthritis Res Ther. 2017;19(1):26. Mäntyselkä P, Miettola J, Niskanen L, Kumpusalo E. Chronic pain, impaired glucose tolerance and diabetes: a community-based study. PAIN®. 2008;137(1):34–40. Veldhuijzen DS, van Middendorp H, Evers AWM. Stress and Sensitization in Chronic Pain. In: Karoly P, Crombez G, editors. Motivational Perspectives on Chronic Pain [Internet]. Oxford University Press; 2018 [cited 2022 Oct 29]. https://doi.org/10.1093/oso/9780190627898.003.0005. Woolf CJ. Central sensitization: implications for the diagnosis and treatment of pain. Pain. 2011;152(3):2–15. Tracy LM, Ioannou L, Baker KS, Gibson SJ, Georgiou-Karistianis N, Giummarra MJ. Meta-analytic evidence for decreased heart rate variability in chronic pain implicating parasympathetic nervous system dysregulation. Pain. 2016;157(1):7–29.