Abstract
Strength measurements of hand muscles are frequently used for conducting motor function tests, administering medical treatment, providing feedback during rehabilitation, and evaluating the recovery stage of a disability or injury. Measurements using a hand dynamometer or pinch gauge are simple to perform and interpret; therefore, they are used in various situations (e.g., evaluation after finger surgery, diagnosis of flail, physical fitness test).
Research on procedures used for measuring hand muscle strength has investigated issues such as variations in reliability related to changes in posture and upper limb position (Bhardwaj et al., 2011), ideal contraction time (Kamimura & Ikuta, 2001), and reliability over multiple trials (Aguiar et al., 2016; Mathiowetz et al., 1984). Mathiowetz et al. (1985) discussed positioning and provided concrete instructions for measurement, and their views have been adopted by many researchers and clinicians.
For grip strength and key pinch strength tests, Mathiowetz et al. (1984) investigated and compared the reliability of single trials, the mean of two and three trials, and the highest score of three trials. They found that the mean of three trials had the highest correlation coefficient. Haidar et al. (2004) reported no systematic errors and a high level of consistency in the three-trial method for measuring grip strength. The three-trial method, particularly the mean of three trials, has been widely adopted. However, when two or more trials are performed, an intertrial rest period is needed, but there is no clear consensus on the appropriate duration of this period.
Trossman and Li (1989) compared the grip strength of participants assigned to one of three groups, with a 15-, 30-, or 60-s rest period between each of five trials. They found no significant difference among the groups; however, the 60-s rest period resulted in the least amount of fatigue influence over the trials. Regardless of the rest duration, the grip strength decreased with each successive trial. The authors suggested that the rest periods used were insufficient and that a rest period of at least 60 s is required until a suitable intertrial rest period can be further clarified. Dunwoody et al. (1996) investigated grip measurements during four trials with a 2-min intertrial rest. They found a significant increase in strength between the first and third or fourth trials and reported the likely existence of a learning curve in the data. Watanabe et al. (2005) investigated the effects of a 1-min rest period between three sets of grip measurement (one set comprised two measurements) and reported that there was no significant difference between the sets.
Although there are reports on rest intervals between grip strength trials, we could not find any similar reports in the literature regarding pinch strength. It is clear, however, that the length of rest intervals has a marked influence on strength measurements; therefore, these intervals should be standardized.
In grip and key pinch strength measurements, the suitable intertrial rest period between three trials is unknown. Therefore, this study aimed to further unify and amend the techniques used in pinch and grip strength testing by identifying and providing a suitable intertrial rest period for a common three-trial test with pretrial familiarization.
Method
Participants
Study participants came from a pool of approximately 180 students majoring in occupational therapy at the Health Science University (Yamanashi, Japan). To estimate the target sample size, effect size (Cohen’s d) was calculated from the mean (standard deviation) values of two grip strength values as described by Trossman and Li (1989) and Dunwoody et al. (1996). This value was input into the estimated effect size, and the sample size (power level, .80; probability level, .05) was calculated. The range of most of the sample size results was between 3 and 23. However, because one value exceeding 40 was detected, the sample size was set at 40. The exclusion criteria were a previous history of neuromuscular or orthopedic dysfunction that would significantly affect hand strength and any condition that would restrict movement distal to the shoulder joint. This study was approved by the ethics committees of the Shinshu University (Nagano, Japan) Postgraduate School and Health Science University.
A total of 40 male and 40 female participants were included in this study. Mean age was 20.9 yr for the men and 21.2 yr for the women. The age range for both sexes was 20–22 yr. Mean (standard deviation) for heights and weights, respectively, for men were 171.1 cm (6.4) and 65.4 kg (15.9) and for women, 157.8 cm (5.5) and 55.0 kg (8.8). All participants except 3 women were right-hand dominant. No participant met the criteria for exclusion. All participants provided informed consent after receiving a written explanation of the study.
Instruments
To avoid reading errors by the researcher, equipment that provided a digital readout was used. A Jamar Plus+ digital hand dynamometer (Sammons Preston, Bolingbrook, IL) was used to measure grip strength, and a Jamar Plus+ digital pinch gauge (Sammons Preston) was used to measure key pinch strength. All participants used the hand dynamometer in the second handle position. Both instruments were newly purchased and displayed values in 0.1-kg increments.
Procedure
A repeated-measures design was used. After signing an informed consent form, participants provided information on their age, height, and weight, and the researcher ascertained their sex, dominant hand, and upper limb functionality through an interview.
The participants were seated with their shoulders adducted and neutrally rotated, elbows flexed at 90°, forearms in a neutral position, and wrists between 0° and 30° of extension, with between 0° and 15° of ulnar deviation, as recommended by Mathiowetz et al. (1984). A standardized script was used for providing instructions (Mathiowetz et al., 1984). To become familiar with the instruments and mitigate against a learning curve, participants performed two or more practice trials before each session. Practice was repeated until the attained value showed a decrease. After practice, participants were allowed to rest for ≥5 min, after which recorded trials were performed.
In a single session, three trials each for the right and left hands were performed. The grip and key pinch strength trials were performed using the same protocol, with a ≥30-min rest between the trials. Each participant was provided with standardized instructions at each assessment and was asked to apply maximum force to the device for 5 consecutive seconds for each measurement. Six intertrial rest periods were investigated—15 s, 30 s, 60 s, 90 s, 120 s, and 150 s—one per day on 6 different days, with an interval of ≥2 days between sessions. For each participant, the order of the six sessions and the hand to be tested first were determined randomly using a table of random numbers. It was not until all measurements were completed that a participant knew the results. All strength measurements were obtained by one examiner.
Statistical Analysis
Before statistical analyses, all data were separated into data groups according to sex, the hand tested, and the test type (grip or key pinch). The data for each rest interval of each data group were checked for normality using the Kolmogorov–Smirnov test. The mean and standard deviation difference (maximum − minimum) within each session and the effect size (partial η2) were then calculated.
A repeated-measures analysis of variance (ANOVA) or Friedman test was used to assess the presence of significant differences between the first trials of the sessions and differences between the three trials in a single session for each data group. Paired t tests were performed on the data (mean) from all possible combinations of the six conditions for each data group. The intraclass correlation coefficient (ICC1,3) and 95% confidence interval (CI) of ICC were used to evaluate the correspondence between the three trials for each rest interval. All statistical analyses were performed using IBM SPSS Statistics (Version 24.0; IBM Corp., Armonk, NY). A p of <.05 was considered statistically significant.
Results
Grip Strength
All data sets, except one (the second trial in men involving the left hand with a 120-s rest), were normally distributed. Using ANOVA, we found the differences to be negligible between any of the first trials of the data groups: p = .051 for women’s right hand and p = .848 for men’s right hand. Table 1 presents the results of the grip strength measurements. Using ANOVA or the Friedman test, we found significant decreases in grip strength over the three trials of all data groups, except two (the trials with women involving the right hand with a 120-s rest and with a 150-s rest). The mean value was the highest in the first trial of all data groups, and as the rest interval increased, the difference between each session’s minimum and maximum values tended to decrease. For both hands, effect sizes of <0.5 (partial η2) were found for ≥90 s in men and ≥60 s in women. Comparing the sessions using the paired t test, we found no significant differences in men at ≥60 s in the right hand or ≥90 s in the left hand. In women, no significant differences were noted in either hand at ≥90 s.
Grip Strength Measurements (kg)
Note. p < .05 was considered statistically significant. L = left; M = mean; R = right; SD = standard deviation.
Table 2 presents the results of the ICC analysis, which showed a high degree of consistency (≥.8) for all test conditions, except for the condition involving men with a 15-s rest. ICC was high (≥.9) for both hands at ≥90 s in men and ≥30 s in women.
ICC Values for Three Trial Measurements
Note. CI = confidence interval; ICC = intraclass correlation coefficient; L = left; R = right.
Key Pinch Strength
All data sets, except one (the first trial in men involving the left hand with a 60-s rest), were normally distributed. Using ANOVA or the Friedman test, we found no significant differences between any of the first trials of the data groups: p = .195 for men’s left hand and p = .802 for women’s left hand. Table 3 presents the results of the key pinch strength measurements. Using ANOVA or the Friedman test, we found significant decreases in pinch strength over the three trials in all data groups, except one (the trial in women involving the right hand with a 150-s rest). The mean value was highest in the first trial of all data groups, and the difference between each session’s minimum and maximum values decreased until 60 s, after which the difference did not fluctuate much. For both hands, effect sizes of <0.5 (partial η2) were found for ≥60 s in both male and female participants. Comparing the sessions using the paired t test, we found no significant differences for either sex at ≥60 s in either hand.
Key Pinch Strength Measurements (kg)
Note. p < .05 was considered statistically significant. L = left; M = mean; R = right; SD = standard deviation.
Table 2 presents the results of the ICC analysis, which showed a high degree of consistency (≥.8) for all test conditions. ICC was high (≥.9) for both hands at rest intervals of ≥90 s in men and for both hands at all rest intervals in women.
Discussion
This study aimed to further unify and amend the techniques used in grip and key pinch strength testing by identifying and providing a suitable intertrial rest period for a common three-trial test, considering pretrial familiarization. Using ANOVA or the Friedman test, we found significant decreases in grip and key pinch strength over the three trials in all test conditions. However, for both hands, only small differences were found in the test conditions ≥90 s (male grip) and ≥60 s (female grip; male and female key pinch; effect sizes of <0.5). Comparing the sessions using the paired t test, we found no significant differences at ≥90 s for grip strength and at ≥60 s for key pinch strength. No significant differences were found between the means of the first trial scores in any of the data groups; therefore, comparisons could be made among the six test conditions. The mean score of the first trial was invariably the highest among the three trials in each condition, and no influence from a learning effect was found.
This result clearly differs from those of Dunwoody et al. (1996) and Watanabe et al. (2005). Their articles did not mention any familiarization session before the measurements were conducted. Therefore, the inclusion or exclusion of a familiarization session before obtaining the measurements appears to be a factor that influences the data.
Strength measurements fell gradually. This tendency for the measured values to decline is consistent with the findings in Trossman and Li (1989; intertrial rest periods of 15 s, 30 s, and 60 s) and Caldwell and Michael Lyddan (1971; intertrial rest periods of 25 s, 50 s, and 100 s). The impact of muscle fatigue and the speed of muscle recovery can influence this tendency. Sahlin and Ren (1989) reported that the strength of the knee extension muscles 2 min after a contraction was not significantly different from the strength before the contraction. However, the muscle’s phosphocreatine level reached only 67% of the precontraction value after 2 min of recovery and 84% after 4 min of recovery. In addition, accumulated lactate decreased to 74% of the postcontraction value after 2 min of recovery and 43% after 4 min. These findings indicate that the muscle did not return to its precontraction state even after 4 min of recovery time. The longest rest period used in the current study was 150 s. Although sharp decreases in the effects of muscle fatigue were observed, it is assumed that more time would be required for the muscle to completely return to its original state.
In the male grip strength sessions, a significant difference was found between the mean values of the three trials in all six test conditions. However, the difference was small in the test conditions of ≥90-s rest, showing effect sizes of <0.5. Additionally, ICC analysis revealed high consistency levels (≥.9) in the conditions of ≥90-s rest. On comparing the conditions, we found no significant differences among the conditions of ≥90-s rest for the left hand or of ≥60-s rest for the right hand. On the basis of these findings, 90 s is considered the optimal intertrial rest period for grip strength tests in male participants.
In the female grip strength sessions, a significant difference was found between the mean values of the three trials in all data groups, except two. The difference was small in the test conditions of ≥60-s rest, showing effect sizes of <0.5. In addition, ICC analysis revealed high consistency levels (≥.9) in conditions of ≥30-s rest. On comparing the conditions, we found no significant differences among the conditions of ≥90-s rest. On the basis of these findings, 90 s is considered the optimal intertrial rest period for grip strength tests in female participants.
In the male key pinch strength sessions, a significant difference was found between the mean values of the three trials in all six test conditions. However, the difference was small in test conditions of ≥60-s rest, showing effect sizes of <0.5. In addition, ICC analysis revealed high consistency levels (≥.9) in conditions of ≥90-s rest for the right hand and ≥60-s rest for the left hand. On comparing the conditions, we found no significant differences among the conditions of ≥60-s rest for both hands. On the basis of these findings, 60 s is considered the optimal intertrial rest period for key pinch strength tests in male participants.
In the female key pinch strength sessions, a significant difference was found between the mean values of the three trials in all data groups, except one. However, the difference was small in the test conditions of ≥60-s rest, showing effect sizes of <0.5 for both the right and left hands. Also, ICC analysis revealed high consistency levels (≥.9) in all conditions. On comparing the conditions, we found no significant differences among conditions of ≥60-s rest for both hands. On the basis of these findings, 60 s is considered the optimal intertrial rest period for key pinch strength tests in female participants.
The difference in the optimal rest period between grip and key pinch strength measurements is assumed to be associated with the different fingers and muscles used during each test. Kozin et al. (1999) investigated the impact of loss of intrinsic hand muscle function on grip and key pinch strength. They found that grip strength decreased by 49% and that key pinch strength decreased as much as 85%. This finding indicates that grip strength involves intrinsic and extrinsic muscles in relatively equal amounts, whereas key pinch strength mainly involves intrinsic muscles. Hence, the difference in muscles and fingers used will influence fatigue recovery.
The current study has two main limitations. The first is associated with the participants assessed. All participants included in this study were healthy young adults ages 20–22 yr. In middle-aged, elderly, or disabled populations, it is not clear how variations in physique would influence the results. Another limitation is the rest period needed for the muscles to completely return to their original state between each of the three trials.
Implications for Occupational Therapy Practice
The findings of this study have the following implications for occupational therapy practice:
Participants should be allowed sufficient practice with the measuring equipment before actual measurements.
The intertrial rest period length should be determined once and kept constant for all relevant trials, regardless of the length. If the rest period is short, fatigue may influence the results.
When it is not possible to have a rest period of ≥150 s, 90-s and 60-s rest periods are suitable alternatives for grip strength and key pinch strength, respectively.
Conclusion
The study found that 90 s and 60 s of rest between trials for grip strength and key pinch strength, respectively, can be considered if a rest of ≥150 s is not possible. The findings should be verified in other age groups and people with disabilities.
