مقایسهٔ روش‌ها

	شناسایی فیبر MHC	تخمین حداکثر تکرار اول (1RM)
حوزه	علوم ورزشی	علوم ورزشی
خانواده	Hypothesis test	Hypothesis test
سال پیدایش	1994	1993
پدیدآور	Reggiani & Schiaffino	Matt Brzycki
نوع	muscle biopsy analysis	submaximal prediction
منبع بنیادین	Bottinelli, R., & Reggiani, C. (2000). Human skeletal muscle fibres: acting role of fibre type in resistance training. Journal of Sports Medicine and Physical Fitness, 40(2), 166-177.	Brzycki, M. (1993). Strength testing: predicting a one-rep max from reps-to-fatigue. Journal of Physical Education, Recreation and Dance, 64(1), 88-90.
نام‌های دیگر	fiber typing, myosin isoforms, muscle fiber classification	one-rep max prediction, estimated 1RM, strength prediction, maximal strength assessment
مرتبط	3	5
خلاصه	MHC fiber typing is laboratory analysis of muscle fiber composition, quantifying the percentage of slow-twitch (Type I) and fast-twitch (Type II) fibers in a muscle sample. Based on myosin heavy chain (MHC) isoform expression, fibers are classified into Type I (slow-twitch, oxidative), Type IIa (fast-twitch, oxidative-glycolytic), and Type IIx/IId (fast-twitch, glycolytic). Introduced by Bottinelli and colleagues (1994), MHC typing requires muscle biopsy and biochemical analysis. Fiber type composition is partially genetic but trainable; endurance training promotes Type II-to-IIa conversion, while power training promotes Type I-to-IIa transitions in some contexts. Understanding fiber composition informs training prescription and explains performance predispositions.	One-repetition maximum (1RM) estimation is a method to predict an athlete's maximum strength in a given lift without performing an actual maximal single repetition. Developed systematically by Matt Brzycki (1993) and refined by numerous researchers, 1RM estimation uses submaximal loads and repetition performance to extrapolate a strength ceiling. Rather than exposing untrained individuals, older adults, or post-injury athletes to the stress and injury risk of true 1RM testing, estimation provides a safer, time-efficient alternative. Multiple prediction equations exist, with varying accuracy depending on population and lift type.