The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Narrative Review of Sex Differences in Muscle Strength, Endurance, Activation, Size, Fiber Type, and Strength Training Participation Rates, Preferences, Motivations, Injuries, and Neuromuscular Adaptations
Open accessAbstract
Nuzzo, JL. Narrative review of sex differences in muscle strength, endurance, activation, size, fiber type, and strength training participation rates, preferences, motivations, injuries, and neuromuscular adaptations. J Strength Cond Res 37(2): 494–536, 2023—Biological sex and its relation with exercise participation and sports performance continue to be discussed. Here, the purpose was to inform such discussions by summarizing the literature on sex differences in numerous strength training–related variables and outcomes—muscle strength and endurance, muscle mass and size, muscle fiber type, muscle twitch forces, and voluntary activation; strength training participation rates, motivations, preferences, and practices; and injuries and changes in muscle size and strength with strength training. Male subjects become notably stronger than female subjects around age 15 years. In adults, sex differences in strength are more pronounced in upper-body than lower-body muscles and in concentric than eccentric contractions. Greater male than female strength is not because of higher voluntary activation but to greater muscle mass and type II fiber areas. Men participate in strength training more frequently than women. Men are motivated more by challenge, competition, social recognition, and a desire to increase muscle size and strength. Men also have greater preference for competitive, high-intensity, and upper-body exercise. Women are motivated more by improved attractiveness, muscle “toning,” and body mass management. Women have greater preference for supervised and lower-body exercise. Intrasexual competition, mate selection, and the drive for muscularity are likely fundamental causes of exercise behaviors in men and women. Men and women increase muscle size and strength after weeks of strength training, but women experience greater relative strength improvements depending on age and muscle group. Men exhibit higher strength training injury rates. No sex difference exists in strength loss and muscle soreness after muscle-damaging exercise.
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Cites
Exercise and Physical Activity for Older Adults
Chodzko-Zajko, W. J., Proctor, D. N., Fiatarone Singh, M. A., Minson, C. T., Nigg, C. R., Salem, G. J., & Skinner, J. S. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181a0c95c · Cited by 5,153
Progression Models in Resistance Training for Healthy Adults
(2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181915670 · Cited by 4,332
Gender differences in risk taking: a meta-analysis
Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.3.367 · Cited by 3,723
Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
Janssen, I., Heymsfield, S. B., Wang, Z., & Ross, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.89.1.81 · Cited by 3,087
Schmitt, D. P., Realo, A., Voracek, M., & Allik, J. (2008) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.94.1.168 · Cited by 1,391
Faigenbaum, A. D., Kraemer, W. J., Blimkie, C. J. R., Jeffreys, I., Micheli, L. J., Nitka, M., & Rowland, T. W. (2009) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0b013e31819df407 · Cited by 1,209
An exploration of the drive for muscularity in adolescent boys and girls
McCreary, D. R., & Sasse, D. K. (2000) · Journal of American College Health · doi:10.1080/07448480009596271 · Cited by 1,184
Appendicular skeletal muscle mass: effects of age, gender, and ethnicity
Gallagher, D., Visser, M., De Meersman, R. E., Sepúlveda, D., Baumgartner, R. N., Pierson, R. N., Harris, T., & Heymsfield, S. B. (1997) · Journal of Applied Physiology · doi:10.1152/jappl.1997.83.1.229 · Cited by 966
Gender differences in personality across the ten aspects of the big five
Weisberg, Y. J., DeYoung, C. G., & Hirsh, J. B. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00178 · Cited by 947
Prevalence of sarcopenia and predictors of skeletal muscle mass in healthy, older men and women
Iannuzzi-Sucich, M., Prestwood, K. M., & Kenny, A. M. (2002) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/57.12.m772 · Cited by 890
Cited by
Nuzzo, J. L., Pinto, M. D., Nosaka, K., & Steele, J. (2024) · Sports Medicine · doi:10.1007/s40279-023-01937-7 · Cited by 85
Self-citationHuiberts, R. O., Wüst, R. C. I., & van der Zwaard, S. (2024) · Sports Medicine · doi:10.1007/s40279-023-01943-9 · Cited by 75
Nuzzo, J. L., Pinto, M. D., Kirk, B. J. C., & Nosaka, K. (2024) · Sports Medicine · doi:10.1007/s40279-024-02009-0 · Cited by 56
Self-citation(2024) · doi:10.1093/gerona/glae056 · Cited by 23
Brunese, M. C., Femminella, G. D., Bencivenga, L., Tafuri, F., Caiazzo, C., Rengo, G., Guerra, G., & Komici, K. (2025) · GeroScience · doi:10.1007/s11357-025-01801-8 · Cited by 4
Metadata
- Authors
- Nuzzo, J. L.
- Venue
- Journal of Strength & Conditioning Research
- Published
- 2022-11-15
- Volume
- 37
- Issue
- 2
- Pages
- 494-536
- ISSN
- 1064-8011 (ISSN-L)
- OpenAlex
- W4318026421
- Cited by
- 304
- References
- 35
- FWCI
- 15.72
- Type
- journal article
- Language
- en
- Open access
- green
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