The Effect of Interface Design and Perceived Risk of Customers’ Satisfaction and Loyalty on Online Booking Application

Introduction

The rapid development of Internet has increased people’s preferences to use internet to manage their needs such as using online booking applications for traveling and lodging. A number of online booking applications have been established to provide information and to make people to feel convenience when manage their travel plans. Various online travel booking services also compete each other to get orders and to increase customer satisfaction through increasing their service quality. Previous research has shown the factors that influencing consumers’ intention to re-visit the website and re-purchased by online. Of many factors that have been evaluated by scholars, web design or interface design [1-3] and perceived risk [4-6] are the factors influencing the decision of consumers to browse and to make e-purchase deals from particular websites or applications including on online travel booking application. Interface is the part of computer system that allows users or browsers can interact [7]. Through combination of hardware and computer software, interface connects users to meet their needs. The interaction between human and computer system is different in most of the websites depending on the design of the interfaces. As an example, each website provides the different kind of buttons, symbols, pictures, and touch pads to be clicked in the screen to show the next process or steps. Several criteria that important to be considered when design computer system including website page is easy to use, easy to learn, reduce harm, easy to get help, easy to check, easy to share in groups, and easy to integrate into existing systems [8]. The website programmers should design the appearance of the website and its interface to be interesting to attract the visitors and to satisfy them when searching of what they need. For online marketing, the interface design is a basic step of trading process because it is a media and tool to communicate with consumers both to offer and to make transaction. Hence, the good quality design of interface can attract consumers to purchase from the online vendors. Another factor that influence people to decide to make e-purchases is the availability of risk or perceived risk. Perceived risk is often associated with trust because these terms are related each other. Perceived risk in shopping can be defined as the possibility of loss [9].

Consumers perceive risks because they face uncertainty and adverse consequences on undesirable result of product or services purchases [10]. Considering the shopping method, online shopping is more risky compare to face to face interaction [11] because in online shopping, consumers cannot clearly see the goods like in the physical stores. The researches that studied the correlation of web design with e-purchase or online purchase have been done by scholar but the research relating interface design are still limited. The researches on the correlation of perceived risk with online shopping also have been conducted in previous studies. However, the researches that combined the interface design and perceived risk online purchase and correlated them to demographic background are still limited. Additionally, the specific topic of the studies on the service purchase particularly in hospitality and travel reservation are still not much assessed. Hence, this study intended to examine correlation of the online booking interface design and perceived risk toward consumers’ satisfaction and loyalty. This study purpose also was to examine correlation of demographic background with the perception on interface design, perceived risk, and loyalty on online booking.

Research methods

Sampling and Data Collection

The respondents in this research were Taiwanese consumers who ever used online booking application by Internet. They are who have credit or debit card used to process online transactions. The data collection was conducted by online survey through sending questionnaires by Facebook and Line applications. The data collection was carried out from December 1, 2019 to January 31, 2020. The number of samples was 387 samples. The respondents were categorized based on gender (F= 197; M=190), educational level (junior-senior high school=36; bachelor=235; master or above/research work=116), and age (< 30 years old=49; 30-39 years old= 159, 40-49 years old=125; 50-59 years old=54).

Research Hypotheses

The purpose of this research was to understand the relationship between interface design, perceived risk, customer satisfaction, and customer loyalty on online booking reservation. A previous research conducted by (Ludin et al. [1,2]) studying web design and customer satisfaction mentioned that the information quality and system quality of the portal or website the most important way to obtain customer satisfaction. It is because the quality of the interface affects consumer acceptance, which means that if the information provided in the interface good, the satisfaction of the consumers also good. The complete and interesting appearance (buttons, colors, images, formats, charts, and etc.) and the easiness to use of interface will increase customer satisfaction [12-14]. Hence, from these findings, we developed the hypothesis, i.e. hypothesis 1: There is a positive correlation between interface design of online reservation applications and consumers’ satisfaction. Although e-commerce shopping system provides a number of benefits to customers, online shopping and online transaction also have risks. (Crespo et al. [4]) argued that perceived risk can decrease the consumption behavior. (Mattila [15]) pointed out the relationship between the perceived risk of business travels and consumption behavior after purchasing is contradictory, which mean that perceived risk level has negative impact on the level of customers’ satisfaction. For online booking, (Swaminathan, et al. [16]) stated that if the transaction is not safe, the perceived risk will increase and the importance of online transactions will also decrease. Hence, from those statements, the following hypothesis developed in this study was: hypothesis 2: there is a negative correlation between consumers’ perceived risks on online reservation and consumers’ satisfaction. According to the research of customer satisfaction and loyalty, (Anderson, et al. [17]) found that customer loyalty (purchase) is closely related to product intention. (Reichheld, et al.[18]) pointed out that customer satisfaction can lead to increase customer loyalty, and satisfaction will increase their consumption. (Elkhani [19]) conducting a research on ticket reservations found that overall customer satisfaction has a significant positive impact on loyalty. Therefore, the last hypothesis of this study was: hypothesis 3: there is a positive correlation between consumers’ satisfaction and consumers’ satisfaction on online reservation.

Data Analysis

The questionnaire consisted of a number of question items that related to the interface design (17 questions), perceived risk on online booking applications (11 questions), consumers’ satisfaction (10 questions), and consumers’ loyalty (7 questions) as they are provided in Table 1. The answers provided for each question and statement consisted of five level scales, starting from lowest level until to the highest level. As an example, for question A (1) “Interface layout makes the application easily to be operated” and the provided answer was

(1) Unimportant;

(2) Rather important;

(3) Neutral;

(4) Important; and

(5) Very important.

At the end of the questions of four variables, the respondents were asked about their opinion to confirm the importance of design interface, the availability of perceived risk, the satisfaction on the overall online booking application, and their loyalty on online booking application. For this type of question, the available answers were binomial, i.e: yes (1) or no (2). This research used quantitative approach, and all the answers were quantified the respondents’ answer with 5-level Likerts’ scale. The data were later used to examine the hypotheses. The analysis applied to evaluate the correlation of each variable was Pearson’s correlation. For this analysis, the data gained from the lists of questions with 5-level Likerts’ scale answer were used to examine the correlations (hypotheses). While to evaluate the significance of different demographic backgrounds toward four observed variables, this study used cross tabulation and Chi-square analysis. For this purpose, the yes/no questions provided in the end of each variable in the questionnaire were used to evaluate the significance. This study used the SPSS 25.0 version software as a tool to analysis the data (Figure 1).

Figure 1: The first research framework.

Results and Discussion

Result

Calculation of Cronbach’s alpha values was conducted to assess the reliability or consistency of the data. Theoretically, the result of Cronbach’s alpha should give a number from 0 to 1, but it also can be negative numbers. If the Cronbach’s Alpha value between 0.50 and 0.70, the data have the standard reliability, and if the Cronbach’s Alpha value between 0.70 and 0.90, the data have a high reliability. If the Cronbach’s Alpha value is higher than 0.90, it is a very high reliability. For this present study, reliability test result is provided in (Table 1). The reliability test shows that the Cronbach’s Alpha values are 0.887 for interface design variable and 0.897 for perceived risk, which mean that the reliability of the data of each variable is high. While for costumers’ satisfaction and loyalty, the Cronbach’s Alpha values are very high, which they are 0.945 for satisfaction and 0.943 loyalty, respectively. From this result, the further analysis can be continued because the existence and quality of the data are reliable.

Table 1: Goodness of fit and reliability test of criteria of each variable.

Correlation Analysis Of Inference Design, Perceived Risk, Customers’ Satisfaction, And Customer Loyalty: Correlation of each variable was examined with Pearson’s analysis, and the result is presented in (Table 2). Table 2 explains the significant and positive correlation between interface design and customer satisfaction (H1 is accepted). It means that when the quality of interface design increase, the level of satisfaction is also will increase. The correlation coefficient is 0.556 which mean that the correlation is strong according to the interpretation of r value (coefficient correlation value). Interpretation of r value is if r value exactly 1 (+ or -), it is a perfect linier relationship; if below 1 until 0.70 (+, -) is a very strong relationship; if below 0.70 until 0.50 is a strong relationship; 0.5 is moderate relationship, below 0.5 until 0.3 is a weak relationship; below 0.3 a very weak relationship; and 0 is there is no relationship (Rumsey, et al. [20]). Second, Table 2 also shows the significant correlation between perceived risk and consumers satisfaction with the direction is a negative line (H2 is accepted). It means that if the perceived risk of online booking application increasing, the satisfaction on the online booking application is decreasing. The correlation coefficient is – 0.204, which indicates that it is very weak correlation. Lastly, the correlation of customers’ satisfaction and customers’ loyalty shows a significant and positive correlation (H3 accepted). It means that when the satisfaction on online booking application is increasing, the loyalty of the consumers to keep using the applications is also increasing. The correlation coefficient is 0.640 which shows a strong relationship of the two variables. From these findings, it can be seen that the strongest correlation among the others is the correlation of costumers’ satisfaction between loyalty. It can be interpreted that when customers are satisfied with the particular online booking application, it definitely increases the loyalty of customers to use the particular reserve application in the next booking and to prioritize that application to when making travel plans.

Table 2: Pearson’s Correlation analysis of each variable.

Note: N = 387, ** is significant at 0.01 level, and * is significant at 0.05.

Table 3: Cross tabulation and Chi-square analysis on tested variables with respondents’ demographic background.

Note: * significant at 0.05 level; the filled boxes show the highest percentage of categories of significant observed demographic variables.

Correlation of Demographic of Respondents on the Observed Variables: To examine the significance of respondents’ background on the observed variables, the cross tabulation of the frequency of the answer were carried out, and the differences were evaluated using Chi-square test as presented in (Table 3). The result in Table 3 shows that the different level of education resulted in the significant result on the importance of interface design of online booking applications. For this variable, percentage of respondents who have master degree and higher level have the highest percentage compare to others. It means that the higher educational level, the more important of interface design when doing searching hotels or travel plans. For the crosstabulation of gender and level of age, they do not show a significant different on the importance of interface design. Relating the opinion on the risk of online booking, all the variables show the significant result. Female respondent valuing the risks of online booking is higher compare to the male respondent.

The percentage of master degree or above respondents valuing the risks of online booking is the highest among the other educational levels. Lastly, the oldest respondents (50-59 years old) believes that online booking reservation more risky compare to the younger respondents. For satisfaction in using online booking applications, all of the tested demographic characteristics show the significant result. The male respondents were more satisfied when doing online booking compared to the female respondents. The respondents who have the lowest educational level (junior-senior high school) were more satisfied compares to other educational level. Lastly, the customers in the youngest age level (below 30) were more satisfied compared to the other levels of age. Relating the consumers loyalty to use the online booking applications in the present and future, all of the tested basic characteristics show the not significant result. It means that the respondents have the same opinion that online booking application still the best choice when making reservation. It can be seen from the result, of 387 respondents only 10 of them who did not want to use internet to make reservation.

Discussion

Consumers’ satisfaction and loyalty are two important things that should be noticed by hospitality industry and travel business in marketing strategy. The vast using of internet have made the online marketing of lodging services is the best choice to promote the lodging services because there is no time and space limitation to potential customers to get the information and to make reservation by accessing the travel and lodging service information by online. Hence, the factors such as interface design and perceived risk that considered as an important. The aim of this study was to examine the correlation of interface design of online booking application, perceived risk of online transactions, customers satisfaction, and customers loyalty on online booking application. This study provides several findings. First, there is a significant and positive relationship between interface design and satisfaction on online booking application, particularly for making room reservation. It can be interpreted that if the quality of interface design is good or high and easy to be operated, the consumers will be more satisfied. Interface of application or website is the displays of particular apps of website that provides information that need to be conveyed to potential customers. Interface contains information including combination of texts, pictures, symbols, charts, and videos that is designed to deliver enough information to customers and that has purpose to attract consumers to use their service [12-14]. A result study from (Dholakia, et al. [21]) also added that the easiness to find the product and clarity of product information as the attributes in the interface of website vendors or online applications significantly influence customers’ satisfaction. The result of this study is in line with the previous studies which related to e-purchasing both online booking website and online shopping which found the positive correlation between interface and satisfaction [22,2].

Their study explained that the quality of interface or quality of website will increase the acceptance and satisfaction on e-commerce (Table 4). Perceived risk significantly decreases the satisfaction and loyalty to use the online booking application. This finding is consistent with the previous studies which mentioned that perceived decrease consumers’ attitude and intention to use the online application including for travel reservation [15,6]. The security risks perceived as the main and common causing factors of the consumers’ reluctance to use online booking applications [23,24,6]. The consumers percei ved that the process of finding the finest hotels and making financial transaction the system is not fully secure in their system or it can be hacked. The doubt of leakage of personal information, credit card information, and money loss after doing online booking and online transaction have affected the consumers decision to make online reservation. Another reason is the psychology factor that can be affected by the mismatch of what is offered with the reality. The information on products and services is usually gained by searching websites that provide type of the room, room pictures, and facilities. However, the clients cannot see the real condition of the room and the hotel comprehensively. Moreover, the hotels could not update the recent pictures of the room, they can make a trick on shooting angel to produce the better images of rooms that create optical illusion to clients, or even they do not provide the true information about their facilities to attract the consumers. These risks and the own previous experiences or other experiences decrease the consumers satisfaction and loyalty on online reservation.

Table 4: Cross tabulation and Chi-square analysis on tested variables with respondents’ demographic background.

Note: * significant at 0.05 level; the filled boxes show the highest percentage of categories of significant observed demographic variables.

Related the correlation of satisfaction and loyalty, this study found the strongest correlation between satisfaction and loyalty compared to other observed-paired variables. Which mean that if satisfaction increases, the loyalty definitely increases. Loyalty on online purchase or commonly said as e-loyalty is specified as the intention to re-visit the website and re-purchase from online vendors [25]. In this study, loyalty also include the consumers’ willingness to recommend the online booking applications to others and make online e-purchase as the main priority when making travel planning (to reserve lodging). To explain this finding, the consumer satisfaction diagram service developed by (Fornell, et al. [26]) describes that loyalty is positively influenced by satisfaction, and satisfaction is positively influenced by perceived value and quality. The respondents in this present study also mostly satisfy with the online hotel/travel preservation in previous experiences. Even though consumers perceived some risk when making online purchase, consumers presume that online booking still the best choice compare to traditional method because of its number of benefits such as lot of options, more convenience, more saving time, not limited by time and locations, global distribution, and many other benefits. Hence, the respondents were mostly agreed (97, 42%) to make e-purchase in future (the result in Table 3). This result which found the significant positive correlation between satisfaction and loyalty on online booking hotel are also supported by the previous researches that related to online purchase [27,21,1]. Differences on demographics of respondents also resulted in the different perception in some variables on the importance of interface design, perceived risk and satisfaction on online booking application. Female respondents perceived the higher risk of making reservation through online compare to male respondents, while related satisfaction male respondents more satisfy compare to female respondents. According to social psychology, men portray a set of personal traits related to adventurousness and a greater proneness to risk, whereas females are more in favor of easy and routine tasks [28].

The process of online boking and transaction with its high risk have made the female respondents perceived the higher risk of online process and more dissatisfaction on the process and the result made by online transaction compared to male respondents. Meanwhile, men with their own experiences with internet and technology have more be able to cope the online process risk and easier to choose and to adjust their needs by using the user interfaces which increases their satisfaction. Therefore, the alternative that the women can take is to use travel agency service to manage their needs. Furthermore, the different level of education shows the different result on the importance of interface design, perceived risk, and satisfaction with the result: the importance of interface design is perceived more important to the higher educational level; perceived risk is higher for the more educated people; and satisfaction is higher for the lower educated people. This finding indicates that education improves the ability to understand the internet and computer system that make the higher educated people perceive the more importance of the quality of web design and user interface to convey the information to users, and they also easily recognize the risk of online booking trough their experiences. However, relating to satisfaction, the lower educational level resulted in that the more satisfaction. Regarding age level, the oldest respondents perceived that the risk of online booking reservation is highest compared to other age levels. A study conducted by (Mayr, et al. [24,29]) found that the older customers (above 50 years old) less prefer to do online booking than the younger customers due to some reasons including the risk on online reservation and hardly to find the appropriate products, and they were the more dissatisfied customers.

Conclusion

The primary purpose of the study of correlation of interface design, perceived risk, satisfaction and loyalty is to find out the significant influencing factors on technology and social behavior and that lead to build the long-lasting relationship of consumers in e-commerce context. As we know that most of the people activities nowadays have used internet as the main tool, channel, or infrastructure to fulfill people needs. Hence developing a credible online application is important in marketing strategies including hospitality and travel business. This present study found that the increasing of quality of interface design of website increases the consumers satisfaction and loyalty to the hotel/travel online booking application. Which mean that the good design, enough and complete information, and easiness to be operated or to search the information of the products or services are important to be noticed by marketers in the website. Furthermore, the perceived risk will decrease satisfaction to make online purchase for lodging or travel reservation. The leakage of personal data and banking information is the main concern that influence the people intention to make online booking. Additionally, the incompatibility of feature and information in website with the reality is also an important aspect that decrease the people trust in e-purchasing. Hence, the service providers should build the consumers trust and increase security of the website to increase and maintain the consumers loyalty.

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Effect of Nutritional Intervention on the Temporal Dynamics of Muscle Strength Adaptation

Introduction

Muscular adaptation is determined by parameters of mechanical loading, including intensity, load, and duration (Hickson, et al. [1,2]) and adequate nutritional support (Cermak, et al. [3]). Notwithstanding, the primary stimuli appear to be intensity and duration coupled with sufficient resistance (Schuenke, et al. [4]) and variants of these protocols are used throughout the world by professional and recreational athletes to promote muscle size and strength. Based on the classical overload principle a certain threshold needs to be exceeded in order to cause the optimum improvements in muscle strength, accordingly moderate to high mechanical loading has been proposed as the main stimuli to initiate muscle hypertrophy and increase strength adaptation (Hakkinen, et al. [5]). In general, it has been widely acknowledged that the initial phases of training that induce muscle strength improvements are predominantly redirected to the enhanced neuromuscular components (Carroll, et al. [2,6]), whereas morphological changes (hypertrophy) do not occur in muscle tissue until after six to eight weeks of high-magnitude resistance training (Verdijk, et al. [7]). The neurological adaptations that initiate and later augment muscular strength adaptation occurs as a resultant factor of mechanical resistance training and leads to significant increases in strength within the first two-weeks of training (Aagaard, et al. [8]). However, the specific mechanisms involved are still being debated and investigated. It has been postulated that the agonist skeletal muscle activation during high-magnitude mechanical loading could be as a result of augmented motor unit recruitment or firing frequency. While it has been shown that motor unit activation can be slightly changed with mechanical loading training protocols (Patten, et al. [9]) the study of motor units pre- and -post mechanical loading interventions appear to follow the size principle regardless of stimuli i.e., isometric or dynamic contractions [10].

Nevertheless, although the size principle appears to be conserved post training the absolute force that a specific motor unit is recruited depends on the augmented contractile force and contraction time of low-threshold units post training (Aagaard, et al. [11]). Another consideration that has been shown to impact neuromuscular adaptation is the application of a particular training protocol, explosive or steady state muscular contractions [9] evidenced that contraction type can determine neuromuscular response with progressive maximal contractions eliciting greater adaptations than rapid explosive contractions. The initial increase in neuromuscular adaptation enables larger loads and greater intensity to be achieved within the parameters of the training protocol therefore, the resultant factor will be further augmented adaptation leading to morphological changes (Duchateau, et al. [12]). Morphological changes are initiated to protect the skeletal muscular system from damage caused by external factors i.e., highmagnitude mechanical loading (to maintain homeostatic balance) (Haun, et al. [13,14]). The morphological change in response to high-magnitude mechanical loading results in enlargement of the muscle fibres, hypertrophy. The increase in the cross- sectional area (CSA) of skeletal muscle augments the strength of the muscle, as the CSA of a muscle is directly proportional to the force of the muscle. The morphological adaptation of muscle tissue is initially stimulated by mechanical stress which leads to metabolic stress (fatigue driven), initiating a plethora of other factors including hormonal changes; testosterone, insulin-like growth factor-1 (IGF- 1), insulin fluctuations; nutritional intake; protein, carbohydrates, electrolytes; recovery and timing of feeding to stimulate muscle adaptation, all these factors evoke adaptation [15].

High-magnitude mechanical loading causes mechanical stress during the concentric and specifically the eccentric phase of skeletal muscle contraction creating a greater hypertrophic response (Lixandrao, et al. [16]). Where eccentric contractions are challenging the sarcomere, the length is compromised and elongated beyond myofilament overlap, the tension augments and the actinmyosin cross-bridge integrity becomes compromised resulting in micro tears [17,18]. Continued contraction additionally damages the integrity of the sarcomere resulting in augmented calcium release and leads to damage to the sarcoplasmic reticulum leading to localised oedema and soreness as a result of inflammation. To elucidate further mechanical stress coupled with metabolic fatigue leads to localised metabolic stress resulting in increased activation of mechanosensitive calcium channels, intracellular enzymes and second messengers. IGF-1 is also secreted from the muscle cells triggering signalling cascades resulting in muscle protein synthesis (MPS) (Yang, et al. [19-23]). The increase in MPS stimulates additional molecular mechanisms that augment sarcomeres and myofibrils contractile elements size expanding the extracellular matrix to support growth/hypertrophy (Haun, et al. [13]). Regardless that this study is concentrating on the examination of skeletal muscle adaptation via high-magnitude mechanical loading (predominantly strength training protocols), heavy resistance lowvolume or light resistance and high-volume training effects strength adaptation to some degree, and a subsequent change in fibre type size (Campos, et al. [24-27,13]). There is evidence that resistance training elicits a greater effect on Type II muscle fibre with satellite cell proliferation and differentiation augmenting (Kadi, et al. [25,28]). Together with sarcoplasmic expansion and coordinated up-regulation of sarcoplasmic proteins involved in glycolysis and other metabolic processes related to ATP generation. This suggests that Type II muscle fibres (fast twitch fibres generating more force) can adapt significantly to resistance training by increasing their size (Verdijk, et al. [29]).

To facilitate the mechanisms of adaptation post mechanical stimuli adequate nutrition is essential, with specific attention to protein consumption (Esmarck, et al. [30-36]). A positive nitrogen balance provided by protein feeding is required to ensure remodelling of contractile machinery leading to hypertrophy (McGlory, et al. [37]). Nutrition is therefore a fundamental external element that can be manipulated to ensure a positive nitrogen balance is maintained post training to facilitate MPS, (Andrews, et al. [14]). The protocol for pre-training and post-training feeding is well documented (Berardi, et al. [33,38]) and there are a plethora of peer-reviewed papers and scientific publications providing robust paradigms for creating an environment for muscular adaptation (Hickson, et al. [1,30,39]). Many of these studies concentrate their attention on high-magnitude mechanical loading followed by protein feeding resulting in an augmentation of MPS and thus, over time, muscle hypertrophy (Cermak, et al. [3,39]). It has been established that to augment the adaptation of skeletal muscle tissue post resistance training an increase in protein consumption is required and in particular the amino acid (AA) leucine and supplements derived from leucine i.e., hydroxy methylbutyric acid (HMB) have been shown to be effective [40]. Leucine functions directly with mammalian target of rapamycin (mTOR), during resistance training mTOR activation is inhibited by AMP Activated protein kinase (APMK) as AA’s become available for energy metabolism. However, during recovery AMPK activation is decreased and mTOR reaches peak activity and as mTOR is known as an important signalling molecule involved in muscle hypertrophy it is important to potentiate its activation [41,42].

With the addition of protein to the habitual diet to enhance the anabolic environment post training other supplements have been determined to be effective. Although, there are a plethora of novel supplements available few supplements have been researched with more veracity than protein and creatine. These supplements have proven to have ergogenic characteristics and while the scientific evidence is esoteric, the general principles are known by the public therefore it would be prudent to ensure the validity of these claims and ensure that the public are utilising these supplements correctly. Creatine is unquestionably one of the most researched supplements of the past 30-years, the efficacy of creatine is well documented; it augments phosphocreatine (PCr) energy stores; augmenting PCr resynthesis; and reducing muscle damage through buffering the increases in lactate and hydrogen ions. However, there is no clear evidence that creatine directly enhances MPS and thus muscle strength adaptation however, it does impact performance positively by enabling greater force production. This creates an optimal environment to work/train with higher intensity over a short period of time, with this maximal intensity damage to the musculature is enhanced resulting in adaptation. The augmented response to training and the congruent adaptation results in hypertrophy and therefore an increase in the CSA of the muscle. (Wilder, et al. [43-50]).

With the addition of the traditional aforementioned supplements there has been a surge in research into additional supplements that will enhance the recovery and adaptation post mechanical loading protocols. Metabolites of leucine including Hydroxy methylbutyrate (HMB) and Hydroxyisocaproic Acid (HICA) are being increasingly used as supplements to augment the impact of leucine on the mTOR pathways to enhance MPS (Gallagher, et al. [51-54]). With HMB purporting to have anticatabolic actions acting antagonistically against the effects of acute bouts of resistance training where there is an increased breakdown of protein. HMB partly prevents this exercise induced proteolysis thus, causing assuaged muscle damage and therefore recovery becomes more expedient and gains in MPS follow (Phillips, et al. [19,20]). These effects have been observed in both young and elderly adults (Nissen, et al. [55]). There is substantial evidence that supplements augment skeletal muscle adaptation as a result of high-magnitude mechanical loading however, there is little evidence of the rate of adaptation. The accepted and established paradigm is that neurological changes occur within the first 2-3 weeks of training and morphological adaptation does not initiate transpire until after that period. Moreover, there is little known regarding the effects of the addition of supplements to in the equation, will there be a direct correlation with known studies evidencing an augmented response to supplement ingestion over a 12-week period when applied to a resistance training protocol or will this increase occur more expediently after 2-3 weeks rather than 6-8 weeks (Gabrie, et. [56,57]).

Aims of the Review

Research indicates that there are many parameters influencing adaptation time induced by mechanical loading, including intensity, load, duration and enhanced neural drive (which has an immediate response) (Hickson, et al. [1,2]). However, morphological changes do not occur in muscle tissue until after three to four weeks of high-magnitude resistance training. To elucidate further, neural adaptation increases the plasticity of the force generating capacity of the neuromuscular system which leads to enhanced muscle strength leading to greater adaptations (Fimland, et al. [2,58]). The inclusion of an enhanced nutritional regime with the addition of supplements, including but not limited to whey protein, leucine, HMB and creatine to augment the recovery process caused by mechanical stress (Vandenberghe, et al. [59,60,30,31,46,7,61,54]) could impact the temporal dynamics of strength adaptation. The rationale of the review therefore is to evaluate available peerreviewed studies for specific criteria relating to or including temporal dynamics (time-course changes) during strength training protocols over a period of at least 6-weeks (max. 12-weeks) with the addition of a nutritional/supplement intervention. With the aim of the review to elucidate current paradigms with special attention on potential gaps in current research. For the purpose of this study, the term ‘supplement’ will be used to refer to any oral product designed to augment the effects of resistance/strengthtraining exercises i.e., protein, leucine, HMB and creatine. There are cornucopia of studies relating to resistance training protocols to enhance muscle adaptation including studies that comprise a supplement element. However, these studies predominantly use pre- and post-intervention data to evidence adaptation, this review will use only data given from time-based adaptations to resistance training with a supplement intervention included (with a minimum of pre-, mid- and post-adaptation data).

Examining the temporal dynamics of muscular strength adaptation is vital as the information provided from researched based evidence could be used to provide a protocol for strength and recovery training programs. As discussed previously there is a convention regarding strength adaptation over a 10-week plus intervention, the evidence that adaptation does occur as a result of resistance training is overwhelming. There is also evidence that supplementation augments this adaptation however, at what time-point does the supplement augment the conventional muscle adaptation as this change could impact a training schedule. As supplements are utilised as ergogenic aids, with the paradigm that they elicit enhanced performance via maximising muscular adaptation as a result of training it is essential that the parameters are known. Paradoxically, using supplements to augment the recovery process thus potentiate muscle adaptation via resistance training could have adverse consequences. There could be imbalances in adaptation between muscle and tendon tissue thus causing disparities within the muscle-tendon-unit (MTU) (Mersmann, et al. [21]) this could potentially cause tendinopathy. Naturally, there are also implications for the development of training protocols to be considered for sports scientists, coaches etc., to use with their athletes. Regular adjustments will need to be assessed if the athlete has added supplements to their diet, ensuring that adequate stimuli is maintained to continue with training progression [55,62]).

Therefore, the objectives of this review are to find evidence of resistance training protocols that elicit strength adaptations over a time-course when a supplement intervention is added and to compare these results to a control group to evidence phases of adaptation. The resultant evidence may indicate a differential between the temporal dynamics of resistance training with and without a supplement intervention. Therefore, if there is found to be a correlation between supplement intervention and an increase in temporal dynamic adaptation the type of supplement and dosage will be exposed.

Materials and Method

The review was conducted in accordance with the search strategy guidelines using the criteria of the Preferred Reporting Items for Systemic Reviews and Meta-Analysis. The review was conducted via electronic databases search for peer-reviewed papers examining temporal dynamics of muscle strength adaptations resulting from supplement ingestion. With the term ‘supplement’ referring to oral consumption of a nutrient purported to augment the adaptation of muscle tissue as a result of mechanical stimuli [55]. The electronic searches were limited to English language citations published in PubMed database and Google Scholar from 1980 onward DISCOVERY resources at London South Bank University were also utilised for the initial citation and abstract searches. Additional refined searches were conducted to also include conference papers using EBSCO host which included the data bases Medline, ScienceDirect, Wiley Online and SPORTS Discuss. A combination of the words and phrases associated with the subject matter were used in the search; ‘muscle adaptation’, ‘strength training’, ‘time-course adaptations’, ‘temporal dynamics’, ‘resistance training’, ‘nutritional response’, ‘muscle strength’, ‘HMB Hydroxy Methylbutyrate Acid and adaptation’, ‘leucine and strength adaptation’, ‘protein and muscle adaptation’, Creatine and muscle strength’, ‘creatine and performance over time’, ‘supplements and muscle adaptation’. Further references were sourced through manual crosschecking of peer-reviewed papers that pertained to the relevant search criteria ensuring absolute saturation of related papers.

Primary citations and abstracts were searched for the following criteria and peer-reviewed papers were included therein:

a) Studies published in English

b) Randomised controlled or controlled trials

c) Studies containing a nutritional intervention related to augmenting strength increases

d) Studies pertaining to resistance training where the primary aim was to increase muscle strength via training frequencies of more than twice weekly

e) Studies which had a duration of no less than 6-weeks

f) Studies measuring muscle strength in terms of 1 maximal repetition (1RM) or maximal voluntary contraction (MVC) preintervention, at least once during intervention and at the end of the intervention

g) A placebo control administered

h) Peer-reviewed papers post 1980. The studies included in the final review contained all the search criteria idiosyncrasies.

Results

Initially the databased search process yielded 410 studies with three studies identified through other sources leading to 413 studies after duplicates were removed. Thereafter, abstracts were read to ensure the relevance to the review, this led to the exclusion of 347 studies. The remaining 51 studies were fully read and examined in miniscule detail, which led to identification of a further 20 papers leading to 71 studies. Of the 71 studies examined 60 were excluded while 11 matched the criteria genus. Many of the studies were excluded due to the frequency of measurements taken. The vast majority of the studies examined only the measurements before and after the intervention, heralding interesting results but not the results required for the review. Figure 1. represents evidence of the search process with the PRISMA search flow diagram. (Table 1). summaries each study. The details of the 11 peer-reviewed papers include in the review indicate that of the total 362 participants ~66% were male adults and ~34% were female adults with an age ranged between 18-93 years. Of the studies examined ~64% of the studies recruited exclusively male participants while ~27% utilised both genders with the remaining ~9% devoted to female participants. Regarding intervention duration, ~90% (n=10) were over 10-weeks with only one study lasting less that 10-weeks. However, the study lasting 6-weeks had measurements taken every 10-days for 40-days and then again at 6-weeks producing interesting data. The reviews characteristics pertained to a subject group that predominantly abstained from resistance training activities with ~73% of the studies including ~67% of the total participants. Only 27% of the studies reviewed used participants that used resistance training activities. A similar trend was established for the age of the participants with studies containing older adults comprising of ~64% of the total. With only one study recruiting sedentary women only between the ages of 19-22 years and three using trained individuals between 18-39 years.

Figure 1: PRISMA search flow diagram (PRISMA; Moher et al., 2009).

Table 1: Brief descriptions of each study.

The nutritional interventions used in the selected studies include supplements containing protein including protein enriched with leucine, HMB and creatine. Of these studies ~64% utilised a self-reported food diary/log, the studies used dietary records of between 3 and 7-days to analyse habitual diets of the participants. Only ~9% of the studies utilised meal standardisation for the duration of their studies (25% protein, 50% carbohydrate and 25% fat) however, a further ~27% did require a standardised meal scheduled to be used the day prior to testing/measurements. It is interesting the note that ~55% of the studies reviewed focused on protein (including protein enriched with leucine) with ~67% of these studies using a minimum of 20g as an addition to habitual diet. HMB supplementation consisted of ~27% of the studies reviewed with a standardised 3g taken per-day. The remaining ~18% (n=2) studied the effects of creatine both these studies used a ‘loading’ phase of 20g per-day split throughout the day followed by a maintenance phase, using 5g per-day for one study. The second study had a high (5g) and low (3g) loading phased approach for 4-days (total of 20g and 12g respectively) then maintenance of 5g and 3g respectively for the remaining duration. Regarding resistance strength, analysis of upper and lower limb muscle groups were tested and measured with ~73% of test completed on the lower limbs and ~27% on both upper and lower body tests. The tests used to measure the strength of the muscle included 1-repetition maximal lift (1RM) and/or dynamic training strength (5RM) and/or isokinetic strength measurement or a mixture of all three. Of these measures 1RM was the most prevalent measure used (with ~73% of studies using this method) with ~36% of the studies using isokinetic strength measures either independently or with other measures (other measurements e.g., free-fat mass was taken in each study; however, these measures were not directly pertinent to this review albeit very interesting).

The results of the reviewed studies are consistent with previous studies relating to the adaptation of skeletal muscle to resistance type training with specific regard to this review where studies were categorised to utilise high-magnitude training protocols >65% 1RM intensity. All of the reviewed studies evidenced adaptation to training regardless of supplement intervention or placebo given. However, it was interesting to note that Stout et al., 2013 evidenced that when HMB was taken as a supplement over a 24-week period without resistance training there were still significant mid- and post-testing adaptations. Interestingly, when resistance training was applied congruent to the previously mentioned paradigm there were significant changes at mid- and post-testing also however, there was not a significant difference between HMB and the placebo. Which contradicts Wilson et al. (2013) which demonstrated that HMB supplementation was significantly greater at 4, 8, and 12-weeks than the control group. The results of the protein supplement intervention confirmed that resistance training with high-magnitude led to increases in muscle strength adaptation at each time-point. All of the studies utilising protein as the supplement intervention used a control to evidence contrasts with the exception of (Esmarck, et al. [30]) which used pre-exercise and 2-hours post-exercise supplement interventions as comparisons rather than using a non-training placebo, again these showed mid-point (6-weeks) and post-trial (12-week) significant results, yet with no differential between interventions. The other protein interventions reviewed indicate there was no significance between intervention and control group regarding strength increase measurements. With the exception of (Trabal, et al. [63,64]) which evidenced that although there was no statistical significance at 12-weeks for isometric leg strength gains, betweengroup differences could be considered clinically significant at each time-point.

Creatine supplementation has been universally accepted to enhance performance with multiple short-term work bouts, improve recovery and long-term adaptation to training (Vandenberghe, et al. [59,60,43,65,49]). This review contained two studies that used creatine supplementation based on the criteria of reviewing temporal dynamics of strength adaptation and the differential between creatine consumption in the short-term and a control. The results of the two studies included in the review are not concomitant with each other, the results differ as (Wilder, et al. [45]) evidence significant time effects for 1RM strength increases, before and during, and during and after, and before and after supplementation. However, these data are similar to the control group which also showed increases in maximal strength thus showing that the addition of creatine (both low and high does) did create a significant differential (noting that the participants were trained athletes and their diets were not standardised). However, (Vandenberghe, et al. [59]) evidenced that creatine supplementation significantly increased 1RM strength after 5-weeks of resistance training with all six-exercise measured test showing improvements by +25 to +57% whereas, the placebo only increased in three measures tested (+15 to +40%). At 10-weeks the creatine group again showed greater difference in all strength tests evidencing that in lower leg measurements there was a 20- 25% greater strength adaptation than the placebo group. Thus, indicating that creatine supplementation can enhance strength over the short-term as well as the long-term.

Based on the information gathered from the review it is in congruent that the current strength training paradigm does evoke adaption of muscle tissue. However, it has also been established that a strategy of adequate nutrition in the form of additional protein potentiates the adaptation of muscle tissue as a result of resistance exercise (Cermak, et al. [3]). Moreover, of the studies reviewed that used protein as a supplement (with a control/ placebo) ~80% evidenced no statistically significant differential between supplement intervention and placebo at each time-point. Overall, this review does evidence that there was an increase in strength adaptation at the mid-point of each study for both intervention group and placebo (a mean time-point of 6.7-weeks). Additionally, further adaptation at the end of each 10-week and 12-weeks with additional increases thereafter in the three studies lasting 24-weeks. In Summation, there are a plethora of variables that could impact and skew the results of this review, as the search criteria has concise constraints the quantity of studies included in the review limits the data. These results suggest the predominant factor in strength adaptation is resistance training at magnitudes >65% 1RM regardless of supplement intervention, age and gender.

Discussion

This review was designed to extrapolate evidence from relevant peer-reviewed papers related to the effect of supplements coupled with the mechanical modality of high-magnitude resistance training on the temporal dynamics of muscular strength adaptation. Presently, to the knowledge of the authors the present review is thought to be the first review conducted specifically focused on the effects of supplementation on the temporal dynamics of muscle strength adaptation. The results of this review are congruent to the paradigm that resistance training containing intensities of >65% of 1RM induces muscular adaptation resulting in the augmentation of strength (Hickson et al., [1,2,25,16]). At each time-point across the total population of the review there was an increase in strength adaptation for both the training with intervention groups and the ‘control/placebo’ groups (with training but no supplement intervention). Indicating that the main protagonist in muscle strength adaptation is resistance training. These data were expected, as previously cited via adaptation mechanisms initially as a result of neural drive and the adaptation thereafter (Schuenke, et al. [4]). The review evidence that the initial adaptation occurs at a mean of the studies reviewed of ~6.7-weeks, the ‘mid’ period of the studies reviewed. The was one study which was not within same parameters as the other studies, this study measured strength every 10-days for 40-days and then subsequently on the final day, day-60. Again, there were incremental increases but this time it was over a shorter period of time, with each 10-day period evidencing early onset adaptation which continued until the end of the study (worth noting that the participants were untrained healthy older men).

The trend of the control groups which involved resistance training with no supplement intervention corresponded to the results of the supplement intervention groups examined in the review. All the studies showed an augmented response to resistance training in muscular strength when a supplement was included to the participants habitual diet. Although, many studies included food-diaries to monitor nutritional intake to eliminate potential outliers, only one study actually requested standardised meals to be used by their participants throughout the trial (other studies used standardised meals prior to testing days). This lack of conformity within the selected studies could have had an impact on the supplement intervention groups. Moreover, the lack of diet control may have skewed the results of the supplement intervention group for the individual studies. As the nature of taking a supplement is an exogenous addition to a nutritional regime if the aforementioned diet has for example adequate protein intake, and the intervention group has an extra 20g protein per day this ‘supplement’ may not have such an impact as 40g per day. However, again noting that the results of the review for both the control and supplement intervention groups indicating augmented adaptation to resistance training regardless, with only ~27% showing significant difference between the two measures. These data are not indicative to current knowledge regarding supplementation particularly protein which has numerous purported benefits in muscular adaptation (Volek, et al. [23,28,7,32,39,63]). Moreover, with protein requirement post-resistance training being axiomatic there must be other considerations to contemplate within group difference i.e., the type of protein consumed, the amount of protein consumed, and the timing of the protein consumed (protein-feeding). It has been shown that the muscles response to amino acids (AA) is transient and that the amount of protein absorbed is limited, subsequent to a single bolus of whey protein, after a latent period of 45-minutes MPS was augmented by approx. 200% for up to 90-minutes post consumption. This was prior to normal absorption rates, regardless of the availability of intramuscular and/or plasma leucine and essential AA (Atherton, et al. [36,42,25]). Thus, evidencing that there is a response to saturation of AA for a limited time of between 60-90 minutes where the rates of MPS (which results in strength adaptation) augments before returning to normal levels regardless of the amount of protein consumed or the availability of protein at that time, this has been referred to as the ‘muscle full theory’ (Atherton, et al. [36]).

The ‘muscle full theory’ indicates that there is a finite level of protein that is required to elicit MPS, and that leucine is the prominent AA that triggers the response. However, it is interesting to note that only two studies used >40g of protein per-day. One study used a total of 48g of protein (40g whey and 8g casein) this was ingested within 2-hours of exercise and on non-training days in the morning with a habitual diet. Although, this study did evidence an increase in fat-free mass during the study and an increase in the strength parameters set over time it did not indicate significance between groups at each time-point (over a 10-week period). However, (Trabal, et al. [64]) evidenced that the use of 40g of protein (to achieve a minimum of 5g leucine content) taken twice per-day did show differences between groups which were considered clinically significant. The other studies appeared to use the standard paradigm for protein intake, with the accepted textbook standard being 20- 25g of protein consumed post-exercise [15]. Notwithstanding, the amount of protein administered in the studies reviewed could have had an impact on the outcomes. Evidence from (MacNaughton et al. [17]) indicating that whole body resistance training responds more favourably to 40g of protein consumed post-training rather than the standard 20g of protein recommended post-resistance exercise. Although, this information seems contrary to one of the aforementioned studies in the review which administered >40g of protein (fat-free mass did increase which can be a marker for muscular adaptation), there is evidence that 40g of whey protein is the optimum amount of protein to consume to elicit maximum MPS (MacNaughton et al. [17]). Whereas the majority of the other studies in the review did not use the optimal amount of protein to elicit a response which may have led to limitations. Thus, utilising this methodology alongside Atherton’s ‘muscle full theory’ would create a perfect post-exercise protocol to ensure participants could achieve maximal MPS therefore, ensuring the best possible conditions for muscle strength adaptation.

This review also highlighted the effects of HMB supplementation with ~27% of the papers reviewed administering HMB to their participants. With all of the studies using the standard dosing of 3g per day, this protocol has been shown to be the optimum dose to achieve the purported anticatabolic actions (Gallagher, et al. [50- 53]). With HMB purporting to have anticatabolic actions as a result of acute bouts of resistance training where there is an increased breakdown of protein, HMB partly prevents this exercise induced proteolysis thus causing reduced muscle damage therefore, recovery becomes more expedient and gains in MPS follow. These effects have been observed in both young and elderly 70-plus adults (Nissen, et al. [55]). This is why HMB is being studied and why it may have benefits as a supplement for improving recovery and subsequent adaptation and muscular strength. Of the ~27% of studies administering HMB, ~33% of the studies reviewed evidenced significant difference between the control group and supplement intervention group. These data evidence that temporal dynamics is significant at each time-point however, the remaining ~67% of the studies evidence the contrary. Fascinatingly, the one study that used standardised meals ensuring that a minimum intake of 25% protein (thus perhaps changing the dynamics of their habitual diet) showed significant results in the difference between groups. Remarkably, one study (Stout, et al. [66]) showed that there was significance between a non-trained control group and a nontrained HMB supplement group, evidencing HMB can augment strength adaptations without resistance training.

The review also considered creatine as a supplement with ~18% of the studies reviewed using creatine as their supplement of choice. Understandingly, creatine was chosen as it is unquestionably one of the most researched supplements of the past 30-years, the efficacy of creatine is well documented; it augments phosphocreatine (PCr) energy stores; increasing PCr resynthesis; and reducing muscle damage through buffering the increases in lactate and hydrogen ions. However, there is no clear evidence that creatine directly enhances MPS and thus muscle strength adaptation however, it does impact performance positively by enabling greater force production. This creates an optimal environment to work/train with higher intensity over a short period of time, with this maximal intensity damage to the musculature is enhanced resulting in adaptation (Louis, et al.). Nevertheless, if you do not have rigorous training protocols with continued high-magnitude training but rather use low-magnitude training over a short period of time, there is little need for creatine as a supplement to buffer metabolites, or to implement direct MPS (Wilder, et al. [43-49]).

The two studies that applied creatine as their supplement intervention were not completely homogeneous, one study used highly trained individuals and the other study used sedentary adult females. They also used different loading and maintenance protocols with (Wilder, et al. [43]) using high and low doses (20g and 12g loading and 5g and 3g maintenance respectively) and (Vandenberghe, et al. [59]) using the standard 20g loading and 5g maintenance protocols. The results of the (Wilder, et al. [43]) study containing highly trained individuals evidenced an increase in both the control and intervention groups in strength adaptation. With hitherto, no within group significant differences at any time-point during the study for high or low dose regimes (the diets of the athletes were not standardised nor controlled also; the participants known supplement regimes may not have been adequately investigated). Whereas the results of (Vandenberghe, et al. [59]) containing sedentary participants evidenced significance at each time-point (5- and 10-weeks) between groups. These results indicate that creatine supplementation can impact muscle strength adaptation after only 5-weeks, whereas it is notionally accepted that repeated resistive exercises engaging the ATP-PC energy system evidences more expedient results than when 1RM measures are tested (Wilder, et al. [43]).

Notwithstanding, it would seem counterintuitive to use creatine as a standalone predominant supplement for strength adaptation as it is not a direct potentiate of MPS. Also, the level of intensity of the mechanical modulation needs to be high. To augment the adaptation of muscle tissue, protein and in particular the AA leucine and supplements derived from leucine i.e., HMB as previously noted would be the obvious supplement to administer in intervention protocol to increase muscle adaption [26]. Leucine functions directly with mammalian target of rapamycin (mTOR), during resistance training mTOR activation is inhibited by AMP Activated protein kinase (APMK) as AA become available for energy metabolism. However, during recovery AMPK activation is decreased and mTOR reaches peak activity and as mTOR is known as an important signalling molecule involved in muscle hypertrophy it is important to potentiate its activation [41,42]. To elucidate the relationship between mechanical loading and leucine, a group of young (24-years) and a group of elderly (63-66-years) participants received intravenously infused leucine post resistance-exercise and the results at the end of the 2-week trial evidenced that both groups increased their MPS (Yarasheski, et al. [67]).

This review does have its limitations, the number of peerreviewed papers relating to temporal dynamics of strength training adaptations with a supplement intervention are inadequate. Of the studies reviewed there were few comparisons that could be met; with each having different dosages of the same/ similar supplement, differences in supplement administered, age differences of participants, trained or untrained status, standardised meals or habitual diet etc. Nonetheless, there were enough similarities to draw trends, resistance high-magnitude training increased muscular strength adaptation regardless of age or activity levels, supplements provide additional adaptation in each study but only clinically significant in ~27% of studies reviewed. Most importantly temporal dynamics were evidenced, with changes in muscle strength adaptation at each time-point in each study. Notwithstanding, lessons can be learnt from the limitations of the review, with areas of improvement for future trials. Standardised nutritional meal plans must be adhered to alongside pre-intervention food-diaries to understand the habitual diets of all participants to ensure the gold-standard for nutritional interventions. This should be a fundamental requirement to ensure adequate data alongside the correct mechanical modulation techniques for muscular strength adaptations (dependant on age demographic and gender considerations) to standardise two clear elements.

It is interesting to reiterate that when standardised meals were incorporated in a study and also, when the supplement included >40g protein to be taken twice per day the results were positive at each time-point. This leads to the question that if strength adaptation in muscular tissue occurs earlier than expected (the majority of previous studies evidence before and after measures and are usually 8+ weeks in duration) how that impacts muscular synergistic tissues such as tendinous tissue. The discrepancy with temporal dynamics of muscle and tendon adaptation caused by the use of high-magnitude training could have implications on the mechanical loading of the complex, with the disparity between muscle strength and quality of the tendon stiffness to tolerate said mechanical loading. Again, this discrepancy could be exacerbated with the addition of nutritional supplementation.

As previously cited, supplementation of leucine post-exercise accelerates MPS and thus muscle tissue adaptation. However, there is also evidence in intervention studies that leucine also has an effect on collagen in tendinous tissue, with an augment in hydroxyproline content of the tension region, independently of training intervention and a greater increase in collagen synthesis when combined with exercise (Barbosa, et al. [68,69]). This would suggest that leucine has anabolic qualities for both muscular and tendinous tissue nonetheless, this adaptation may not be uniform. One might postulate that the impact of the supplementation intervention will exacerbate the increase in muscular strength without a corresponding increase in tendon stiffness. This may result in an imbalance within the muscle-tendon-unit, with the muscle producing more mechanical force this augmentation in mechanical demand on the tendon will lead to potential vicissitudes resulting in susceptibility to injury (Epro, et al. [70-93]).

Conclusion

This review suggests that muscular strength adaptation occurs as a result of high-magnitude strength training (>65% 1RM) regardless of age, gender and activity level after a short period of training with mean significant adaptations at ~6.7-weeks. These data correlate with both the training and placebo (control) groups in each trial and the supplement intervention groups with all groups experiencing augmented strength adaptation, and ~27% of the studies demonstrating significant differences between the placebo and the intervention groups. With the knowledge that initial adaptation of skeletal muscle when high-magnitude mechanical modalities are applied results in augmented muscular strength adaptation, the ingestion of supplements that could potentiate this effect to a greater extent need to be measured alongside tendinous tissue response. The potential differentiation in adaptation could create additional influence on the associated tendon tissue that may not respond as expediently as muscle tissue, resulting in potential tendinopathy. Moreover, an athletes’ coach/trainer must be made aware of the potential counterintuitive nature of supplementation and that high-magnitude resistance training may elicit strength gains faster than expected as a result of exogenous nutritional support. Therefore, a nutritional framework alongside training regimes needs to be applied synergistically with repeated testing to ensure potential injury risk is limited. Furthermore, future studies need to look directly at the temporal dynamics of muscular and tendon tissue strength adaptation in relation to highmagnitude mechanical modulation with supplement intervention to explore potential discrepancies in time adaptation as to prevent vicissitudes.

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