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Lack of physical activity is a global public health problem causing not only morbidity and premature mortality, but it is also a major economic burden worldwide. One of the cornerstones of a physically active lifestyle is Motor Competence (MC). MC is a complex biocultural attribute and therefore, its study requires a multi-sectoral, multi-, inter- and transdisciplinary approach. MC is a growing area of research, especially in children and adolescents due to its positive association with a plethora of health and developmental outcomes. Many questions, however, remain to be answered in this field of research, with regard to: (i) Health and Developmental-related Associations of MC; (ii) Assessment of MC; (iii) Prevalence and Trends of MC; (iv) Correlates and Determinants of MC; (v) MC Interventions, and (vi) Translating MC Research into Practice and Policy. This paper presents a narrative review of the literature, summarizing current knowledge, identifying key research gaps and presenting questions for future investigation on MC in children and adolescents. This is a collaborative effort from the International Motor Competence Network (IMCNetwork) a network of academics and researchers aiming to promote international collaborative research and knowledge translation in the expansive field of MC. The knowledge and deliverables generated by addressing and answering the aforementioned research questions on MC presented in this review have the potential to shape the ways in which researchers and practitioners promote MC and physical activity in children and adolescents across the world.

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Results of the Test of Gross Motor Development-2 (TGMD-2) consistently show acceptable validity and reliability for children/adolescents who are sighted and those who have visual impairments. Results of the Test of Gross Motor Development-3 (TGMD-3) are often valid and reliable for children who are sighted, but its psychometric properties are unknown for children with visual impairments. Participants (N = 66; M = 12.93, SD = 2.40) with visual impairments completed the TGMD-2 and TGMD-3. The TGMD-3 results from this sample revealed high internal consistency (ω = .89-.95), strong interrater reliability (ICC = .91-.92), convergence with the TGMD-2 (r = .96), and good model fit, χ(63) = 80.10, p = .072, χ/df ratio = 1.27, RMSEA = .06, CFI = .97. Researchers and practitioners can use the TGMD-3 to assess the motor skill performance for children/adolescents with visual impairments and most likely produce results that are valid and reliable.

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