Handgrip strength of both left and right hands were measured using a mechanical handgrip dynamometer (Takei Kiki Kogyo – TK 1201, Niigata City, Japan) accurate to 0.5 kg. The dynamometer was adjusted A-1210477 ic50 to the gymnasts’ hand size to obtain their best performance as prescribed by Schlüssel et al.32 The highest value in each side (kg) was used to represent handgrip strength.32 and 33 All tests were supervised by the same observer. Each gymnast completed an interview-based questionnaire about the detailed history

and description of wrist pain experience: presence, limitations and gymnastic apparatus associated with it. Gymnasts were asked if they had pain in their wrists at the moment of data collection. Those who answered “yes” were asked to clarify the nature of the pain onset (sudden or gradual), and those with macro traumatic

history (when in a specific moment the tolerance limits of the anatomic structures were exceeded by a compression or avulsion mechanical stress) were excluded from the data analysis. Athletes who have suffered these acute events were forwarded to a clinician by their respective www.selleckchem.com/products/ink128.html coach. Gymnasts were divided into categories according to their functional classification based upon both subjective and objective measures16 and 34: grade 1, unrestricted; grade 2, attends all training sessions, but unable to full work; grade 3, misses at least one training session per month; and grade 4, unable to participate. Descriptive statistics (mean ± SD) was calculated to study the variables in the total sample used and in the two groups separately. Moreover,

absolute (n) and proportional (%) frequency distributions of both UV variables (PRPR and DIDI) of both wrists within three UV categories (negative, neutral, and positive), for both the total and the two groups, were set-up and the differences were analyzed by means of the Chi–Square test. The Mann–Whitney Test was used to evaluate the differences of UV values in painful or painless wrists, and to evaluate the difference between groups in all variables. A t test was used to compare the UV values with normative data from the general population. The relationship between the UV measurements, either on one hand, and the biological and training characteristics, on the other hand, were analyzed by means of partial correlations, adjusted for CA, SA and the difference between SA and CA. Kruskal–Wallis was used to compare UV in different maturity status. SPSS version 19.0 for Windows (SPSS Inc., Chicago, IL, USA) was used for statistical analyses and a p value of <0.05 was considered statistically significant. Descriptive statistics of all variables of the total sample and the two groups are given in Table 1.