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
. 2022 Oct 28;19(21):14060.
doi: 10.3390/ijerph192114060.

The Association between Body Mass Index and Muscular Fitness in Chinese College Freshmen

Affiliations

The Association between Body Mass Index and Muscular Fitness in Chinese College Freshmen

Feng Sun et al. Int J Environ Res Public Health. .

Abstract

(1) Background: The present study aimed to investigate the association between body mass index (BMI) and muscular fitness in Chinese college freshmen. (2) Methods: A total of 6425 college freshmen in mainland China were recruited. BMI was classified as underweight (<18.5 kg/m2), normal weight (18.5~23.9 kg/m2), overweight (24~27.9 kg/m2), and obese (≥28 kg/m2), according to the Working Group on Obesity in China. Health-related physical fitness components including cardiorespiratory fitness, lower body explosive power, upper body muscular endurance, abdominal muscular endurance, flexibility, and vital capacity were assessed. Physical fitness index and muscular fitness index were calculated, respectively, as the sum score of the standardized values (z-score) of the corresponding components. Three regression models were used to evaluate the potential associations: a linear regression model, a polynomial regression model, and a restricted cubic spline regression model. Adjust R square was used to compare among models. (3) Results: Significant differences were observed among different BMI categories in nearly all physical fitness components as well as physical fitness z-score and muscular fitness z-score (p < 0.001), regardless of gender. Significant linear associations were found between BMI and physical fitness z-score as well as muscular fitness z-score among total, male, and female groups (p < 0.05). However, the restricted cubic spline regression model showed a better fitting effect (adjust R2 was 7.9%, 11.2%, and 4.8% in total, male, and female for physical fitness and 7.7%, 15.7%, and 4.0%, for muscular fitness, respectively), compared with the linear and polynomial regression models, presented by a higher adjusted R2. Restricted cubic splines analysis showed that BMI value and physical fitness z-score showed a non-linear relationship with an approximate inverted U curve in all groups, while an approximate reversed J-shaped association was observed between BMI and muscular fitness z-score in all groups. (4) Conclusions: The present study showed a nonlinear negative relationship between BMI and physical fitness with underweight and overweight/obese college freshmen having poorer physical fitness and muscular fitness than their normal BMI peers, which may provide useful evidence to the development of public health recommendations and encourage the health management of young adults. Future studies should further explore the relationship between BMI and muscular fitness with multi-centered large sample size studies.

Keywords: body mass index; college freshmen; muscular fitness; physical fitness.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Linear regression, polynomial regression, and restricted cubic spines (RCS) analysis for BMI values and physical fitness z-score in college freshmen.
Figure 2
Figure 2
Linear regression, polynomial regression, and restricted cubic spines (RCS) analysis for BMI values and muscular fitness z-score in college freshmen.

Similar articles

Cited by

References

    1. Ortega F.B., Ruiz J.R., Castillo M.J., Sjostrom M. Physical fitness in childhood and adolescence: A powerful marker of health. Int. J. Obes. 2008;32:1–11. doi: 10.1038/sj.ijo.0803774. - DOI - PubMed
    1. Fardman A., Banschick G.D., Rabia R., Percik R., Segev S., Klempfner R., Grossman E., Maor E. Cardiorespiratory Fitness Is an Independent Predictor of Cardiovascular Morbidity and Mortality and Improves Accuracy of Prediction Models. Can. J. Cardiol. 2021;37:241–250. doi: 10.1016/j.cjca.2020.05.017. - DOI - PubMed
    1. Kodama S., Saito K., Tanaka S., Maki M., Yachi Y., Asumi M., Sugawara A., Totsuka K., Shimano H., Ohashi Y., et al. Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: A meta-analysis. JAMA. 2009;301:2024–2035. doi: 10.1001/jama.2009.681. - DOI - PubMed
    1. Garcia-Hermoso A., Cavero-Redondo I., Ramirez-Velez R., Ruiz J.R., Ortega F.B., Lee D.C., Martinez-Vizcaino V. Muscular Strength as a Predictor of All-Cause Mortality in an Apparently Healthy Population: A Systematic Review and Meta-Analysis of Data from Approximately 2 Million Men and Women. Arch. Phys. Med. Rehabil. 2018;99:2100–2113. doi: 10.1016/j.apmr.2018.01.008. - DOI - PubMed
    1. Rodrigues D.L.T., Gonzalez-Chica D.A., Santos S.D. Clusters of cardiovascular risk factors and its association with muscle strength in adults. J. Sport. Med. Phys. Fitness. 2020;60:479–485. doi: 10.23736/S0022-4707.19.10161-2. - DOI - PubMed

Publication types

LinkOut - more resources