STUDY DESIGN: Epidemiological study. OBJECTIVE: To investigate the incidence and risk factors for developing low back pain in active duty military population to include age, sex, race, and rank, and military service. SUMMARY OF BACKGROUND DATA: Low back pain is among the most common musculoskeletal conditions worldwide and is estimated to affect nearly two-thirds of the US population at some point in their lives. Low back pain is a multifactorial disease and many risk factors have been implicated including age, race, sex, and marital status. METHODS: A query was performed using the US Defense Medical Epidemiology Database (DMED) for the International Classification of Diseases, Ninth Revision, Clinical Modification code for low back pain (724.20). 13,754,261 person-years of data were investigated. Multivariate Poisson regression analysis was used to estimate the rate of low back pain per 1000 person-years, whereas controlling for sex, race, rank, service, age, and marital status. RESULTS: The overall unadjusted incidence rate of low back pain was 40.5 per 1000 person-years. Women, compared with men, had a significantly increased incidence rate ratio for low back pain of 1.45. The incidence rate ratio for the 40+ age group compared with the 20 to 29 years of age group was 1.28. With junior officers as the referent category, junior- and senior-enlisted rank groups had increased incidence rate ratio for low back pain, 1.95 and 1.35, respectively. Each service, when compared with the Marines as the referent category, had a significantly increased incidence rate ratio of low back pain: Army: 2.19, Navy: 1.02, and Air Force: 1.54. Compared with single service members, significantly increased incidence rate ratio for low back pain were seen in married service members: 1.21. CONCLUSION: Female sex, enlisted rank groups, service in the Army, Navy, or Air Force, age greater than 40 years, and a marital status of married were all risk factors for low back pain.
STUDY DESIGN: Epidemiological study. OBJECTIVE: To investigate the incidence and risk factors for developing low back pain in active duty military population to include age, sex, race, and rank, and military service. SUMMARY OF BACKGROUND DATA: Low back pain is among the most common musculoskeletal conditions worldwide and is estimated to affect nearly two-thirds of the US population at some point in their lives. Low back pain is a multifactorial disease and many risk factors have been implicated including age, race, sex, and marital status. METHODS: A query was performed using the US Defense Medical Epidemiology Database (DMED) for the International Classification of Diseases, Ninth Revision, Clinical Modification code for low back pain (724.20). 13,754,261 person-years of data were investigated. Multivariate Poisson regression analysis was used to estimate the rate of low back pain per 1000 person-years, whereas controlling for sex, race, rank, service, age, and marital status. RESULTS: The overall unadjusted incidence rate of low back pain was 40.5 per 1000 person-years. Women, compared with men, had a significantly increased incidence rate ratio for low back pain of 1.45. The incidence rate ratio for the 40+ age group compared with the 20 to 29 years of age group was 1.28. With junior officers as the referent category, junior- and senior-enlisted rank groups had increased incidence rate ratio for low back pain, 1.95 and 1.35, respectively. Each service, when compared with the Marines as the referent category, had a significantly increased incidence rate ratio of low back pain: Army: 2.19, Navy: 1.02, and Air Force: 1.54. Compared with single service members, significantly increased incidence rate ratio for low back pain were seen in married service members: 1.21. CONCLUSION: Female sex, enlisted rank groups, service in the Army, Navy, or Air Force, age greater than 40 years, and a marital status of married were all risk factors for low back pain.
Authors: Megan E Vanneman; Mary Jo Larson; Cheng Chen; Rachel Sayko Adams; Thomas V Williams; Esther Meerwijk; Alex H S Harris Journal: Med Care Date: 2018-10 Impact factor: 2.983
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Authors: Zhengwei Zhou; Maxim Bez; Wafa Tawackoli; Joseph Giaconi; Dmitriy Sheyn; Sandra de Mel; Marcel M Maya; Barry D Pressman; Zulma Gazit; Gadi Pelled; Dan Gazit; Debiao Li Journal: Magn Reson Med Date: 2016-09-26 Impact factor: 4.668
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Authors: Jessica R Watrous; Cameron T McCabe; Gretchen Jones; Brittney Mazzone; Shawn Farrokhi; Susan L Eskridge; Brad D Hendershot; Michael R Galarneau Journal: J Clin Psychol Med Settings Date: 2021-02-07