The Structure of the Relationship of Physical Activity and Selected Factors Shaping the Condition and Self-assessment of Health of Patients with the Lumbar Spine Pain Syndrome
DOI:
https://doi.org/10.15225/PNN.2021.10.4.3Keywords
gender, health condition, pain syndrome of the lumbar spine, physical activity, self-assessment of healthAbstract
Introduction. The pain syndrome of the lumbar spine is one of the most common civilization diseases and requires surgery in the case of a significant percentage of patients. It is also associated with a number of other health problems, with gender being an important factor that differentiates patients’ health.
Aim. For this reason, our own research was focused on determining the structure of the relationship between physical activity and selected factors shaping the condition and self-assessment of health of patients in the lumbar spine pain syndrome depending on gender.
Material and Methods. The study sample consists of 205 patients hospitalized at the Department of Pediatric Neurosurgery and Neurosurgery of the Independent Public Clinical Hospital No. 4 in Lublin and at the Department of Pediatric Neurosurgery, Neurotraumatology and Neurosurgery, University Hospital No. 1 in Bydgoszcz. The Research used the Physical Activity Questionnaire IPAQ in Polish version, Visual Analogue Scale VAS, Questionnaire for Depression Measurement KPD, a proprietary questionnaire, as well as the results of laboratory tests of glucose concentration in the blood serum. The analysis of multidimensional relations between the variables was performed using the SEM structural equation modeling using the IBM SPSS 25 program with the AMOS extension.
Results. In the subgroups of women and men, models that were structurally similar, although different in the values of selected path coefficients, were developed, which explains the variances of: blood glucose concentration, BMI, intensity of depression symptoms and self-assessment of health condition. The developed structural model shows that physical activity with mediating participation of blood glucose concentration, BMI and depression is associated with self-assessment of health. The indirect dependencies of physical activity and self-assessment of health condition also occur with the mediating participation of the BMI index and blood glucose concentration, as well as the BMI index and depression.
Conclusions. The obtained data indicate that in the absence of health contraindications, an important element of interdisciplinary programs supporting the condition and self-assessment of health of patients with lumbar spine pain syndrome may be regular physical activity, adjusted to the needs and capabilities of the body. The differences between men and women suggest that preventive interventions should be gender-specific. (JNNN 2021;10(4):153–161)
References
Balasubramanya R., Selvarajan S.K. Lumbar Spine Imaging. Retrieved January 18, 2021, from https://www.ncbi.nlm.nih.gov/books/NBK553181/.
Xu J., Ding X., Wu J. et al. A randomized controlled study for the treatment of middle-aged and old-aged lumbar disc herniation by Shis spine balance manipulation combined with bone and muscle guidance. Medicine (Baltimore). 2020;99(51):e23812.
Pilśniak J., Ślusarz R. Epidemiology of Traumatic Brain Injuries in its Own Material of Emergency Service Rypin: A Retrospective Study. J Neurol Neurosurg Nurs. 2013;2(1):4–8.
Luan X., Tian X., Zhang H. et al. Exercise as a prescription for patients with various diseases. J Sport Health Sci. 2019;8(5):422–441.
Griffith M.L., Younk L.M., Davis S.N. Visceral Adiposity, Insulin Resistance, and Type 2 Diabetes. Am J Lifestyle Med. 2010;4(3):230–243.
Tekur P., Nagarathna R., Chametcha S., Hankey A., Nagendra H.R. A comprehensive yoga programs improves pain, anxiety and depression in chronic low back pain patients more than exercise: an RCT. Complement Ther Med. 2012;20(3):107–118.
Parrish J.M., Jenkins N.W., Parrish M.S. et al. The influence of cognitive behavioral therapy on lumbar spine surgery outcomes: a systematic review and meta-analysis. Eur Spine J. 2021;30(5):1365–1379.
Kao Y.C., Chen J.Y., Chen H.H., Liao K.W., Huang S.S. The association between depression and chronic lower back pain from disc degeneration and herniation of the lumbar spine. Int J Psychiatry Med. 2021;912174211003760.
Bento T.P.F., Genebra C.V.D.S., Maciel N.M., Cornelio G.P., Simeão S.F.A.P., Vitta A. Low back pain and some associated factors: is there any difference between genders? Braz J Phys Ther. 2020;24(1):79–87.
Azfar S.M., Murad M.A., Azim S.R., Baig M. Frequency of and Various Factors Associated with Stress, Anxiety, and Depression among Low Back Pain Patients. Cureus. 2019;11(9):e5701.
Zhang T.T., Liu Z., Liu Y.L., Zhao J.J., Liu D.W., Tian Q.B. Obesity as a Risk Factor for Low Back Pain: A Meta-Analysis. Clin Spine Surg. 2018;31(1):22–27.
Sierakowska M., Doroszkiewicz H., Kondzior D., Klimaszewska K., Jemieljańczuk Z., Dolińska C. Prevention of the musculoskeletal system’s dysfunction based on the example of Prevention Program of Spinal Pain Syndrome in Nursing Staff. Med Pr. 2019;70(2):189–199.
Duruöz M.T., Turan Y., Gürgan A., Deveci H. Evaluation of metabolic syndrome in patients with chronic low back pain. Rheumatol Int. 2012;32(3):663–667.
Brady S.R.E., Hussain S.M., Brown W.J. et al. Relationships Between Weight, Physical Activity, and Back Pain in Young Adult Women. Medicine (Baltimore). 2016;95(19):e3368.
Rguibi M., Belahsen R. Overweight and obesity among urban Sahraoui women of South Morocco. Ethn Dis. 2004;14(4):542–547.
Rudwaleit M., Märker-Hermann E. Management of nonspecific low back pain. The new national guidelines 2011. Z Rheumatol. 2012;71(6):485–497; quiz 498–499.
Epstein S., Sparer E.H., Tran B.N. et al. Prevalence of Work-Related Musculoskeletal Disorders Among Surgeons and Interventionalists: A Systematic Review and Meta-analysis. JAMA Surg. 2018;153(2):e174947.
Kaljic E., Avdic D., Svraka E. et al. Influence of Motion Therapy in the Prevention of Lumbar Pain Syndrome Relapse. Med Arch. 2018;72(4):267–271.
World Health Organization. Physical activity. Retrieved January 31, 2021, from https://www.who.int/ncds/prevention/physical-activity/en/.
Ono R., Yamazaki S., Takegami M. et al. Gender difference in association between low back pain and metabolic syndrome: locomotive syndrome and health outcome in Aizu cohort study (LOHAS). Spine (Phila Pa 1976). 2012;37(13):1130–1137.
Wang W., Russell A., Yan Y., Global Health Epidemiology Reference Group (GHERG). Traditional Chinese medicine and new concepts of predictive, preventive and personalized medicine in diagnosis and treatment of suboptimal health. EPMA J. 2014;5(1):4.
Rouch I., Achour-Crawford E., Roche F. et al. Seven-year predictors of self-rated health and life satisfaction in the elderly: the PROOF study. J Nutr Health Aging. 2014;18(9):840–847.
Krøll L.S., Hammarlund C.S., Westergaard M.L. et al. Level of physical activity, well-being, stress and self-rated health in persons with migraine and co-existing tension-type headache and neck pain. J Headache Pain. 2017;18(1):46.
Holmberg S.A., Thelin A.G. Predictors of sick leave owing to neck or low back pain: a 12-year longitudinal cohort study in a rural male population. Ann Agric Environ Med. 2010;17(2):251–257.
Osborne A., Blake C., Meredith D. et al. Work-related musculoskeletal disorders among Irish farm operators. Am J Ind Med. 2013;56(2):235–242.
Merrill S.S., Seeman T.E., Kasl S.V., Berkman L.F. Gender differences in the comparison of self-reported disability and performance measures. J Gerontol A Biol Sci Med Sci. 1997;52(1):M19–26.
Verbrugge L.M., Wingard D.L. Sex differentials in health and mortality. Women Health. 1987;12(2):103–145.
Luy M., Minagawa Y. Gender gaps--Life expectancy and proportion of life in poor health. Health Rep. 2014;25(12):12–19.
Caroli E., Weber-Baghdiguian L. Self-reported health and gender: The role of social norms. Soc Sci Med. 2016;153:220–229.
Oksuzyan A., Dańko M.J., Caputo J., Jasilionis D., Shkolnikov V.M. Is the story about sensitive women and stoical men true? Gender differences in health after adjustment for reporting behavior. Soc Sci Med. 2019;228:41–50.
Wong A.Y.L., Karppinen J., Samartzis D. Low back pain in older adults: risk factors, management options and future directions. Scoliosis Spinal Disord. 2017;12:14.
Mu W., Shang Y., Zhang C., Tang S. Analysis of the depression and anxiety status and related risk factors in patients with lumbar disc herniation. Pak J Med Sci. 2019;35(3):658–662.
Ohtori S., Ito T., Yamashita M. et al. Evaluation of low back pain using the Japanese Orthopaedic Association Back Pain Evaluation Questionnaire for lumbar spinal disease in a multicenter study: differences in scores based on age, sex, and type of disease. J Orthop Sci. 2010;15(1):86–91.
Parrish J.M., Jenkins N.W., Massel D.H. et al. The Perioperative Symptom Severity of Higher Patient Health Questionnaire-9 Scores Between Genders in Single-Level Lumbar Fusion. Int J Spine Surg. 2021;15(1):62–73.
Fernández-Puentes C., Sanchez-Sanchez N. How do gender based disparities affect women’s self-rated health and anxiety in the European Union? J Gend Stud. 2021.
Benyamini Y., Leventhal E.A., Leventhal H. Gender differences in processing information for making self-assessments of health. Psychosom Med. 2000;62(3):354–364.
Brzeziński J.M. Metodologia badań psychologicznych. PWN, Warszawa 2019.
Craig C.L., Marshall A.L., Sjöström M. et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–1395.
Biernat E., Stupnicki R., Gajewski A.K. Międzynarodowy Kwestionariusz Aktywności Fizycznej (IPAQ) — wersja polska. Wychow Fiz Sport. 2007;51(1):47–54.
Wewers M.E., Lowe N.K. A critical review of visual analogue scales in the measurement of clinical phenomena. Res Nurs Health. 1990;13(4):227–236.
Łojek E., Stańczak J., Wójcik A. Kwestionariusz do Pomiaru Depresji (KPD). Podręcznik. Pracownia Testów Psychologicznych Polskiego Towarzystwa Psychologicznego, Warszawa 2015.
Schrempft S., Jackowska M., Hamer M., Steptoe A. Associations between social isolation, loneliness, and objective physical activity in older men and women. BMC Public Health. 2019;19(1):74.
Kwon H.J., Lee Y.A., Shin C.H., Kim K. Association between physical activity and self-rated health in pediatric patients with type 1 diabetes mellitus. J Exerc Rehabil. 2019;15(1):155–159.
Johansson L.M., Lingfors H., Golsäter M., Kristenson M., Fransson E.I. Can physical activity compensate for low socioeconomic status with regard to poor self-rated health and low quality-of-life? Health Qual Life Outcomes. 2019;17(1):33.
Liu F., Zhang C., Liang Y. et al. Epidemiology of self-rated health in rural China: a population-based cross-sectional study. Sci Rep. 2017;7(1):4459.
Stamatakis E., Pulsford R.M., Brunner E.J. et al. Sitting behaviour is not associated with incident diabetes over 13 years: the Whitehall II cohort study. Br J Sports Med. 2017;51(10):818–823.
Nordfjäll K., Eliasson M., Stegmayr B., Lundin S., Roos G., Nilsson P.M. Increased abdominal obesity, adverse psychosocial factors and shorter telomere length in subjects reporting early ageing; the MONICA Northern Sweden Study. Scand J Public Health. 2008;36(7):744–752.
Dishman R.K., McDowell C.P., Herring M.P. Customary physical activity and odds of depression: a systematic review and meta-analysis of 111 prospective cohort studies. Br J Sports Med. 2021;55(16):926–934.
Meckes S.J., McDonald M.A., Lancaster C.L. Association between physical activity and mental health among first responders with different service roles. Psychol Trauma. 2021;13(1):66–74.
Ergün P., Kaymaz D., Günay E. et al. Comprehensive out-patient pulmonary rehabilitation: Treatment outcomes in early and late stages of chronic obstructive pulmonary disease. Ann Thorac Med. 2011;6(2):70–76.
Gurgun A., Deniz S., Argın M., Karapolat H. Effects of nutritional supplementation combined with conventional pulmonary rehabilitation in muscle-wasted chronic obstructive pulmonary disease: a prospective, randomized and controlled study. Respirology. 2013;18(3):495–500.
Vancampfort D., Stubbs B., Veronese N., Mugisha J., Swinnen N., Koyanagi A. Correlates of physical activity among depressed older people in six low-income and middle-income countries: A community-based cross-sectional study. Int J Geriatr Psychiatry. 2018;33(2):e314–e322.
Virgara R., Maher C., Van Kessel G. The comorbidity of low back pelvic pain and risk of depression and anxiety in pregnancy in primiparous women. BMC Pregnancy Childbirth. 2018;18(1):288.
Niemelä M.S., Kangas M., Ahola R.J. et al. Dose-response relation of self-reported and accelerometer-measured physical activity to perceived health in middle age-the Northern Finland Birth Cohort 1966 Study. BMC Public Health. 2019;19(1):21.
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