AI Article Synopsis
- The study is a retrospective review aimed at examining the incidence and risk factors of lumbar spine fractures among US military personnel from 2001 to 2010.
- Using healthcare database codes, the research identifies demographic information (such as race, sex, and branch of service) of individuals with these fractures and compares it to the overall military population.
- Results show a low incidence of 0.38 per 1000 person-years, with significant predictors being male sex, white race, enlisted status, service in the Army or Marines, and age groups of 20-24 or over 40.
Article Abstract
Study Design: Retrospective database review.
Objective: To describe the incidence of, and risk factors for, lumbar spine fractures within the population of the US military. SUMMARYOF BACKGROUND DATA: Fractures of the lumbar region are an important health concern; however, the epidemiology of this injury has not been extensively studied in the United States.
Methods: International Classification of Diseases, Clinical Modification, Ninth Revision codes for lumbar spine fractures were used in a search of the Defense Medical Epidemiology Database, identifying all individuals who sustained such injuries between 2001 and 2010. The database was also used to obtain the complete number of individuals serving in the Armed Forces over the same time period. Information regarding race, rank, branch of service, sex, and age was obtained for all individuals identified as having lumbar spine fractures as well as for the whole military population. The incidence of lumbar spine fractures was determined for the cohort. Unadjusted incidence rates were derived for risk factors and multivariate Poisson regression analysis, controlling for all other risks, was used to obtain adjusted incidence rate ratios and identify statistically significant risks for lumbar fractures.
Results: Between 2001 and 2010, the overall incidence of lumbar fractures was 0.38 per 1000 person-years. Male sex, white race, enlisted ranks, service in the Army and Marines, and age were found to be significant predictors of lumbar spine fracture. Service in the Army demonstrated the highest rate of lumbar fractures (0.48 per 1000 person-years).
Conclusions: This investigation is the first to document the incidence and postulate risk factors for lumbar spine fracture in an American population. In this study, males, whites, enlisted personnel, those serving in the Army and Marines, and individuals aged 20-24 or greater than 40 were found to be at an increased risk of lumbar fracture.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/BSD.0b013e31823f3237 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Limb Axis Disorder During Leg Length Discrepancy Treatment with Temporary Epiphysiodesis Using Eight-Plate Implants.
J Clin Med
January 2025
Department of Paediatric Orthopaedics, Medical University of Lublin, 20-059 Lublin, Poland.
: A common problem in pediatric orthopedics is leg length discrepancy (LLD). In adulthood, this may result in overload and degenerative changes in the lumbar spine, hip, and knee joints of the longer limb, and the fixed equinus position of the foot of the shorter limb. Surgical treatment using temporary epiphysiodesis with eight-plate implants is a minimally invasive, safe, and patient-tolerated procedure in LLD.
View Article and Find Full Text PDFThe Spine Lengthens During Walking in Healthy Participants, with Age-Related Changes in Kinematic Parameters.
J Clin Med
January 2025
IRCCS Istituto Ortopedico Galeazzi, 20157 Milan, Italy.
While the importance of the upper and lower limbs in locomotion is well understood, the kinematics of the trunk during walking remains largely unexplored. Two decades ago, a casual observation was reported indicating spine lengthening in a small sample of mostly children during walking, but this observation was never replicated. Objectives: This study aims to verify the preliminary observation that spine lengthening occurs during walking and to explore changes in spine kinematics across three different age groups.
View Article and Find Full Text PDFAssociations of Serum Homocysteine with Bone Mineral Density and Osteoporosis Incidence in Chinese Middle-Aged and Older Adults: A Retrospective Cohort Study.
Nutrients
January 2025
Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Objective: This research investigated the prospective association of serum homocysteine with lumbar bone mineral density (BMD) and the risk of osteoporosis in the Chinese population.
Methods: In this cohort, 2551 Chinese individuals aged ≥50 years underwent annual health examinations. Among them, 2551, 1549, and 926 completed two, three, and more than three examinations, respectively.
A Risk Score to Identify Low Bone Mineral Density for Age in Young Patients with Anorexia Nervosa.
Nutrients
December 2024
Department of Emergency and Post-Emergency Psychiatry, CHU Montpellier, INSERM, University of Montpellier, 34295 Montpellier, France.
Objective: Developing a scoring assessment tools for the determination of low bone mass for age at lumbar spine and hip in patients with anorexia nervosa (AN).
Methods: The areal bone mineral density (aBMD) was determined with dual-energy X-ray absorptiometry (DXA). In 331 women with AN and 121 controls, aged from 14.
Contradictory links between lipid levels and bone health: atherogenic index of plasma and bone microarchitecture.
J Orthop Surg Res
January 2025
Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
Purpose: Lipids increase osteoporosis and fracture risk, yet research on Atherogenic Index of Plasma (AIP), bone mineral density declines (BMD), and trabecular bone score (TBS) is limited. This study examined the relationships between AIP, TBS, and BMD in American adults using the National Health and Nutrition Examination Survey (NHANES) data, including the effect of obesity.
Methods: Based on data from 3,162 Americans, multivariable logistic regression and a generalized additive model (GAM) were used to analyze AIP, BMD, and TBS.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!