Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jul 30:12:1381773.
doi: 10.3389/fpubh.2024.1381773. eCollection 2024.

Evaluation of the prevalence of adolescent scoliosis and its associated factors in Gansu Province, China: a cross-sectional study

Jin Huang #  1   2   3 , Haitao Zhang #  1   3 , Jiantao Wen #  2 , Lili Liu  2 , Shihong Xu  2 , Xingsheng Wang  2 , Chen Zhang  2 , Huaming Wang  2 , Shengtai Pei  2 , Xiaojuan Cui  2 , Juan Wang  2 , Dezhi Tang  1 , Jun Zhao  2
Affiliations

Evaluation of the prevalence of adolescent scoliosis and its associated factors in Gansu Province, China: a cross-sectional study

Jin Huang et al. Front Public Health. .

Abstract

Introduction: Gansu Province is situated in the northwest region of China, characterized by diverse and complex topography and a rich diversity of ethnic groups. This study aims to explore the prevalence and risk factors of adolescent suspected scoliosis in Gansu Province through a cross-sectional population study.

Methods: From April 2022 to July 2022, a prospective cross-sectional study was conducted in Baiyin City, Jinchang City, Lanzhou City, Linxia Hui Autonomous Prefecture, and Gannan Tibetan Autonomous Prefecture in Gansu Province. The screening covered 3,118 middle and high school students across 24 institutions, including middle and high schools. Diagnosis of suspected scoliosis was established through visual inspection, the Adams forward bend test, and measurement of trunk rotation angle. Employing a custom-designed questionnaire, demographic data were collected, and the prevalence of suspected scoliosis was calculated. Univariate and multivariate logistic regression analyses were employed to assess factors associated with suspected scoliosis.

Results: A total of 3,044 participants were ultimately included in the analysis. The overall prevalence of suspected scoliosis was 5.68% in Gansu Province. The peak prevalence for boy is at 14 years (6.70%), while for girl, it is at 15 years (8.75%). Lanzhou City exhibits the highest prevalence rates (boy, 9.82%; girl, 10.16). The results of univariate logistic regression analysis presented that BMI (OR = 0.92, 95% CI: 0.88-0.96), altitude of habitation (1,600 m-2000 m) (OR = 0.50, 95% CI: 0.34-0.73), altitude of habitation (2000 m-3321 m) (OR = 0.58, 95% CI: 0.40-0.83), family medical history (OR = 1.56, 95% CI: 1.02-2.31), and shoulders of unequal height (OR = 1.49, 95% CI: 1.09-2.03) were significantly correlated with suspected scoliosis. The multivariate logistic regression analysis indicated that BMI (OR = 0.91, 95% CI: 0.86-0.95), altitude of habitation (1,600 m-2000 m) (OR = 0.35, 95% CI: 0.23-0.54), altitude of habitation (2000 m-3321 m) (OR = 0.39, 95% CI: 0.24-0.60), family medical history (OR = 1.66, 95% CI:1.08-2.49), and shoulders of unequal height (OR = 1.45, 95% CI:1.06-1.99) were independently associated with suspected scoliosis.

Conclusion: Low BMI, residence at an altitude of 1,600 m-3321 m, family medical history, and shoulders of unequal height were independently associated with an increased prevalence of suspected scoliosis. It is recommended to promptly screen high-risk adolescents for suspected scoliosis, provide effective preventive and intervention measures.

Keywords: adolescence; cross-sectional study; prevalence; risk factors; scoliosis.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Participants selection flow diagram.
Figure 2
Figure 2
The geographical location of 5 cities in this study.
Figure 3
Figure 3
Prevalence of scoliosis in adolescents of different ages.
Figure 4
Figure 4
Prevalence of scoliosis in adolescents of 5 cities.
Figure 5
Figure 5
Associated factors with scoliosis by univariate logistic regression analysis.
Figure 6
Figure 6
Associated factors with scoliosis by multivariate logistic regression analysis.
See this image and copyright information in PMC

References

    1. Kuznia AL, Hernandez AK, Lee LU. Adolescent idiopathic scoliosis: common questions and answers. Am Fam Physician. (2020) 101:19–23. PMID: - PubMed
    1. Donzelli S, Zaina F, Lusini M, Minnella S, Negrini S. In favour of the definition "adolescents with idiopathic scoliosis": juvenile and adolescent idiopathic scoliosis braced after ten years of age, do not show different end results. SOSORT award winner 2014. Scoliosis. (2014) 9:7. doi: 10.1186/1748-7161-9-7 - DOI - PMC - PubMed
    1. Yılmaz H, Zateri C, Kusvuran Ozkan A, Kayalar G, Berk H. Prevalence of adolescent idiopathic scoliosis in Turkey: an epidemiological study. Spine J. (2020) 20:947–55. doi: 10.1016/j.spinee.2020.01.008 - DOI - PubMed
    1. Penha PJ, Ramos N, de Carvalho BKG, Andrade RM, Schmitt ACB, João SMA. Prevalence of adolescent idiopathic scoliosis in the state of São Paulo, Brazil. Spine (Phila Pa 1976). (2018) 43:1710–8. doi: 10.1097/brs.0000000000002725, PMID: - DOI - PubMed
    1. Cárcamo M, Espinoza P, Rodas M, Urrejola Ó, Bettany-Saltikov J, Grivas TB. Prevalence, risk of progression and quality of life assessment in adolescents undergoing school screening for adolescent idopathic scoliosis. Andes Pediatr. (2023) 94:78–85. doi: 10.32641/andespediatr.v94i1.3989 - DOI - PubMed

LinkOut - more resources