The Effect of Significant Exercise Modalities, Gender and Age on 9 Markers (Indicators) in NHISS Registered ACL Patients for Designing Exercise Intervention Program
Background: Knee disease is prevalent in the post middle-aged and associated with lower quality of life. Knee disease (i.e., anterior cruciate ligament, ACL) related injury preventive program should be supported. We examined the significant effect of different age, gender, and exercise modalities on measureable nine dependent markers in National Health Insurance Sharing Service database (NHISS DB) registered ACL patients using big data analysis.
Methods: The 1755 ACL patients from 514,866 in NHISS DB have been randomly selected by retrospective cohort study using big data from 2002 to 2013. Six independent and 9 dependent variables were used for analyzing patients with ACL injuries by T-test and Two-way analysis of variance (ANOVA).
Results: Mean (SD) (men vs. women) of BMI, high blood pressure (BP), serum glutamic oxaloacetic transaminase (SGOT), and total cholesterol were 24.38±2.72 vs. 24.86±3.12 (P<0.01, 95% C.I., -0.763 ~ -0.194), 126.64±14.70 vs. 125.02±16.62 (P<0.05, 95% C.I., 0.104 ~ 3.151), 27.63±12.18 vs. 24.27±8.48 (P<0.01, 95% C.I., 2.393 ~ 4.331), 197.77±37.60 vs. 205.72±36.72 (P<0.01, 95% C.I., -11.533 ~ -4.378), respectively. Age and the frequency of 20 min severe exercise per week (Move20_Freq) intensive exercise had a significant association with BMI (P<0.05). Gender and Move20_Freq had a significant association with BP (P<0.05).
Conclusion: Age-dependent Move20_Freq is associated with BMI in ACL patients. Women with ACL have higher BMI and cholesterol levels than men. These gender-specific differences can be relieved by exercise.
2. Boden BP, Dean GS, Feagin JA, Jr., Garrett WE, Jr (2000). Mechanisms of anterior cruciate ligament injury. Orthopedics, 23:573-578.
3. Olsen OE, Myklebust G, Engebretsen L, Bahr R (2004). Injury mechanisms for anterior cruciate ligament injuries in team handball: a systematic video analysis. Am J Sports Med, 32:1002-1012.
4. Shimokochi Y, Yong Lee S, Shultz SJ, Schmitz RJ (2009). The relationships among sagittal-plane lower extremity moments: implications for landing strategy in anterior cruciate ligament injury prevention. J Athl Train, 44:33-38.
5. Moyer RF, Hunter DJ (2015). Osteoarthritis in 2014: Changing how we define and treat patients with OA. Nat Rev Rheumatol, 11:65-66.
6. Moyer RF, Ratneswaran A, Beier F, Birmingham TB (2014). Osteoarthritis year in review 2014: mechanics--basic and clinical studies in osteoarthritis. Osteoarthritis Cartilage, 22:1989-2002.
7. Runhaar J, Deroisy R, van Middelkoop M, et al. (2016). The role of diet and exercise and of glucosamine sulfate in the prevention of knee osteoarthritis: Further results from the PRevention of knee Osteoarthritis in Overweight Females (PROOF) study. Semin Arthritis Rheum, 45:S42-48.
8. Vasilic-Brasnjevic S, Marinkovic J, Vlajinac H, et al. (2016). Association of body mass index and waist circumference with severity of knee osteoarthritis. Acta Reumatol Port, 41:226-231.
9. Monira Hussain S, Wang Y, Cicuttini FM, et al. (2014). Incidence of total knee and hip replacement for osteoarthritis in relation to the metabolic syndrome and its components: a prospective cohort study. Semin Arthritis Rheum, 43:429-436.
10. Lawrence JS (1975). Hypertension in relation to musculoskeletal disorders. Ann Rheum Dis, 34:451-456.
11. Bastick AN, Runhaar J, Belo JN, Bierma-Zeinstra SM (2015). Prognostic factors for progression of clinical osteoarthritis of the knee: a systematic review of observational studies. Arthritis Res Ther, 17:152.
12. Song TM, Song J, An JY, Hayman LL, Woo JM (2014). Psychological and social factors affecting Internet searches on suicide in Korea: a big data analysis of Google search trends. Yonsei Med J, 55:254-263.
13. Carmeliet P (2003). Angiogenesis in health and disease. Nat Med, 9:653-660.
14. Hofstaetter JG, Saad FA, Sunk IG, Bobacz K, Friehs I, Glimcher MJ (2007). Age-dependent expression of VEGF isoforms and receptors in the rabbit anterior cruciate ligament. Biochim Biophys Acta, 1770:997-1002.
15. Cameron ML, Fu FH, Paessler HH, Schneider M, Evans CH (1994). Synovial fluid cytokine concentrations as possible prognostic indicators in the ACL-deficient knee. Knee Surg Sports Traumatol Arthrosc, 2:38-44.
16. Schnitzer TJ, Ballard IM, Constantine G, McDonald P (1995). Double-blind, placebo-controlled comparison of the safety and efficacy of orally administered etodolac and nabumetone in patients with active osteoarthritis of the knee. Clin Ther, 17:602-612.
17. Weaver A, Rubin B, Caldwell J, et al (1995). Comparison of the efficacy and safety of oxaprozin and nabumetone in the treatment of patients with osteoarthritis of the knee. Clin Ther, 17:735-745.
18. Messier SP, Mihalko SL, Beavers DP, et al (2013). Strength Training for Arthritis Trial (START): design and rationale. BMC Musculoskelet Disord, 14:208.
19. Chang CC, Liao CC, Chen TL (2016). Perioperative medicine and Taiwan National Health Insurance Research Database. Acta Anaesthesiol Taiwan, 54:93-96.
20. Hrovat G, Stiglic G, Kokol P, Ojstersek M (2014). Contrasting temporal trend discovery for large healthcare databases. Comput Methods Programs Biomed, 113:251-257.
21. Kang EJ, Seo JH, Kim LY, et al. (2016). Pregnancy-Associated Risk Factors of Postpartum Breast Cancer in Korea: A Nationwide Health Insurance Database Study. PloS One, 11:e0168469.