This review covers underlying physiological characteristics and training considerations that may affect muscular strength including improving maximal force expression and time-limited force expression. Strength is underpinned by a combination of morphological and neural factors including muscle cross-sectional area and architecture, musculotendinous stiffness, motor unit recruitment, rate coding, motor unit synchronization, and neuromuscular inhibition. Although single- and multi-targeted block periodization models may produce the greatest strength-power benefits, concepts within each model must be considered within the limitations of the sport, athletes, and schedules. Bilateral training, eccentric training and accentuated eccentric loading, and variable resistance training may produce the greatest comprehensive strength adaptations. Bodyweight exercise, isolation exercises, plyometric exercise, unilateral exercise, and kettlebell training may be limited in their potential to improve maximal strength but are still relevant to strength development by challenging time-limited force expression and differentially challenging motor demands. Training to failure may not be necessary to improve maximum muscular strength and is likely not necessary for maximum gains in strength. Indeed, programming that combines heavy and light loads may improve strength and underpin other strength-power characteristics. Multiple sets appear to produce superior training benefits compared to single sets; however, an athlete's training status and the dose-response relationship must be considered. While 2- to 5-min interset rest intervals may produce the greatest strength-power benefits, rest interval length may vary based an athlete's training age, fiber type, and genetics. Weaker athletes should focus on developing strength before emphasizing power-type training. Stronger athletes may begin to emphasize power-type training while maintaining/improving their strength. Future research should investigate how best to implement accentuated eccentric loading and variable resistance training and examine how initial strength affects an athlete's ability to improve their performance following various training methods.

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The purpose of this article is to provide a practical framework for athletic administrators and senior coaches to use in evaluating a strength and conditioning coach (SCC) under their supervision. A formal objective evaluation process may improve training outcomes, prevent common troublesome issues in the field, increase accountability, and optimize organizational dynamics. Recommendations include planned, systematic, and documented observation of work performed, review of performance testing data, and developmental feedback meetings between the SCC and the supervisor. Some modification may be necessary for each sector of the field. However, the general themes may still be followed by supervisors.

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The purposes of this study were to examine the relationships between dynamic strength index (DSI) and other strength-power performance characteristics and to contextualize DSI scores using case study comparisons. 88 male and 67 female NCAA division I collegiate athletes performed countermovement jumps (CMJ) and isometric mid-thigh pulls (IMTP) during a pre-season testing session as part of a long-term athlete monitoring program. Spearman’s correlations were used to assess the relationships between DSI and CMJ peak force, height, modified reactive strength index, peak power and IMTP peak force and rate of force development (RFD). Very large relationships existed between DSI and IMTP peak force (r = -0.848 and -0.746), while small-moderate relationships existed between DSI and CMJ peak force (r = 0.297 and 0.313), height (r = 0.108 and 0.167), modified reactive strength index (r = 0.174 and 0.274), and IMTP RFD (r = -0.341 and -0.338) for men and women, respectively. Finally, relationships between DSI and CMJ peak power were trivial-small for male (r = 0.008) and female athletes (r = 0.191). Case study analyses revealed that despite similar DSI scores, each athlete’s percentile rankings for each variable and CMJ force-time characteristics were unique, which may suggest different training emphases are needed. Based on the explained variance, an athlete’s IMTP performance may have a larger influence on their DSI score compared to the CMJ. DSI scores should be contextualized using additional performance data to ensure each individual athlete receives the appropriate training stimulus during different training phases throughout the year.

The traditional sit-up may be a poor choice for core strength training due to its focus on hip flexion. The purpose of this study was to determine differences in abdominal and hip flexor muscle activation and trunk and hip kinematics between the traditional U.S. Army sit-up and a modified sit-up focusing on trunk flexion. Eighteen trained males performed 30 seconds of repetitions of each sit-up style, while muscle activation of the rectus abdominis (RA), external oblique (EO), and rectus femoris (RF) was recorded using electromyography (EMG). Trunk and hip kinematics were measured using 2-D videography. Maximum and mean muscle activation, integrated EMG (iEMG), and trunk and hip flexion were compared using a repeated-measures design. Maximum EMG of the RF and EO and mean EMG and iEMG of the RF were greater during the traditional sit-up. In contrast, mean EMG and iEMG of the RA and EO were greater during the modified sit-up. Peak trunk flexion was greater during the modified sit-up, and peak hip flexion was greater during the traditional sit-up. The greater RF EMG activity and peak hip flexion during the traditional sit-up suggest a greater emphasis on hip flexion during this sit-up style, which may result in lumbar hyperextension. The greater RA and EO activity and peak trunk flexion during the modified sit-up suggest a greater emphasis on trunk flexion during this exercise, which may decrease the lumbar spine load. Therefore, the modified sit-up may be a better exercise selection to train the abdominal muscles.