Purpose: Lumbar hyperlordosis is one of the main physical abnormalities that occur in the lumbopelvic region and affect the body movement system in daily life. This condition can also lead to chronic injuries and pain. The present study aimed to investigate the ability of the nine-test screening battery to predict the incidence of lumbar hyperlordosis in adolescent boys. Methods: This causal study described and analyzed the data with a cross-sectional design. In this regard, 60 adolescents (age range: 13 to 15 years) were selected. After the initial assessments, they were assigned into two groups: the lumbar hyperlordosis group (n=31) and the normal lordosis group (n=29). The angle of lumbar lordosis curvature and functional movements were measured using a flexible ruler and the nine-test screening battery instruction, respectively. The obtained data were analyzed using the logistic regression test at a significance level of 0.05, in SPSS v. 24. Results: The examination of the coefficients of predictive variables showed that the Wald test is statistically significant for deep squat (P=0.023) and straight leg raise (P=0.033). Also, these variables significantly contribute to the predictability of the model and the likelihood of lumbar hyperlordosis. Conclusion: Based on the results, the nine-test screening battery can predict the occurrence of lumbar hyperlordosis in adolescent boys through the components of deep squat and straight leg raise.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.