Digit ratio (2D:4D: the relative lengths of the second and fourth digits) is widely used as a correlate of prenatal sex steroids. There are two common methods of measuring 2D:4D, the direct method and the indirect method. The modern interest in 2D:4D began 16 years ago when finger lengths were measured directly, but many studies now report 2D:4D calculated from indirectly measured fingers from photocopies or scans. However, there are concerns about the accuracy of the latter in comparison to the former. The purpose of this article was twofold: to review these concerns and to add new data to the debate. Our review shows that in 2005, directional effects in indirect 2D:4D were reported such that direct 2D:4D > indirect 2D:4D. This finding was challenged by a 2006 report that direct 2D:4D was lower (not higher) than indirect 2D:4D for male right-hand 2D:4D. Two further studies from the same group have claimed that indirect 2D:4D may be lower, higher, or comparable to direct 2D:4D. More recent comparisons of direct 2D:4D versus indirect 2D:4D and a meta-analysis of Chinese studies have replicated the finding of direct 2D:4D > indirect 2D:4D. We considered an additional sample and found significant direct 2D:4D > indirect 2D:4D for three of four ratios. The overall literature is discussed within the context of standards of research (sample size) and publishing (clarity of report). It is concluded that direct 2D:4D does tend to be greater than indirect 2D:4D. Implications for comparative studies and other aspects of research in 2D:4D are discussed.

The effect of multimodal imagery on anxiety and perceived stress was investigated in 46 male tennis players (16 to 18 yr.; M = 17.0, SD = 0.8). There were two groups, a multimodal imagery group and a control imagery group. The quasi-experimental design included pre- and post-treatment administrations of the 27-item Competitive State Anxiety Inventory to assess anxiety and the Perceived Stress Scale to assess stress. Analysis showed a statistically significant multivariate difference between the multimodal imagery and control groups on measures of cognitive anxiety, self-confidence, and perceived stress. Imagery plays a role in handling some specific types of anxiety and stress.

The digit ratio (2D:4D) is related to prenatal testosterone (T) and sports performance. Few investigations have explored 2D:4D in determining the potential performance of individuals in power-based sports, specifically combat sports. This study compared 2D:4D between mixed martial arts (MMA) athletes and non-athletes and investigated the association between (1) handgrip strength (HGS) and lean body mass (LBM) with 2D:4D in MMA athletes and (2) psychometric variables and 2D:4D in MMA athletes and non-athletes. In total, 122 men participated in this study (53 non-athletes, 45 professionals, and 24 amateur fighters). The 2D:4D was measured using a caliper, HGS was assessed with a dynamometer, and psychometric variables were evaluated using questionnaires. Athletes displayed significantly (p < 0.05) lower median values of right (0.95 ± 0.04) and left (0.96 ± 0.03) 2D:4D in comparison with non-athletes, (0.97 ± 0.03) and (0.99 ± 0.03), respectively. We observed that left hand 2D:4D was negatively correlated with HGS (r = −0.43; p < 0.05) and lean body mass (r = −0.49; p < 0.05) in professional athletes. Professional athletes also displayed significant differences (* p < 0.05; ** p < 0.001) in psychometric variables compared to non-athletes for (1) agreeableness **, median values (interquartile range) = −0.11 (−0.19–0.07) and 0.2 (−0.09–0.33), respectively; (2) anger **, mean ± standard error = 2.40 ± 0.12 and 2.89 ± 0.89, respectively; and (3) openness *, mean ± standard error = 0.17 ± 0.04 and −0.006 ± 0.04, respectively. However, we did not observe an association between psychometric variables or wins with 2D:4D. In conjunction with other measures, 2D:4D is valuable in determining the potential athleticism of an MMA athlete.

Firefighting requires a high level of physical fitness and causes substantial psychological stress, engendering musculoskeletal, mental, and cardiac issues. Consequently, it is necessary to measure the preparation of the firefighters daily through the Firefighting Physical Ability Tests (FPATs). According to the literature, some variables are more important for performance in the FPAT. Therefore, we aimed to summarize evidence that relates physical and mental aspects to the FPAT performance. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method, screening 1055 records from databases and selecting 15 that met inclusion criteria. No emotional and psychological variables were correlated with the FPAT. Most research shows significant correlations between the FPAT performance and the following: aerobic fitness, upper body endurance and strength, anaerobic capacity, body fat, and age. Lower body endurance and strength, as well as anaerobic power, had a low number of investigations and need to be further explored. Abdominal endurance showed weak correlations, while flexibility did not show any correlations in most studies, although these should be considered for injury prevention. We recommend that fitness programs and evaluations include a global analysis considering the evidence presented for methodological improvements.

Purpose: to characterize the language and neuropsychomotor development of children referred for speech-language-hearing and physical therapy at an Extended Family Health Care Center (NASF) in Paranaguá, Paraná, Brazil. Methods: 36 children aged 3 to 13 (7.9 ± 2.3) years were assessed through anamnesis, speech-language-hearing assessment with a flipchart, and motor development scale (MDS). The analysis was made with the two-tailed Pearson correlation test. Results: 69% had no initial clinical diagnosis; 83% were referred by their school, due to suspected language difficulties (92%), which were confirmed. Children both at risk and with psychomotor delays represented 69% of the sample; 78% of the children had learning difficulties and overall motor age 16 months below their chronological age, on average. The psychomotor areas with the worst scores for motor age and motor quotient were temporal organization, body scheme, and spatial organization. School difficulties were related to delays in motor age (p = 0.03), MDS psychomotor profile classification (p = 0.01), overall motor quotient (p = 0.04), and psychomotor diagnosis (p = 0.001). Conclusion: it is concluded that children both at risk and with psychomotor delays pose a great demand. Most of them present language delays, and have difficulties in other areas as well, confirming the need for health professionals’ multi- and interdisciplinary actions. NASF is an option for promoting follow-up and intervention.