
Análise do alinhamento dos membros inferiores em crianças com excesso de peso. DOI: 10.5007/1980-0037.2011v13n2p124
Author(s) -
Alessandra Martinelli,
Moisés Oliveira Purga,
Alessandra Madia Mantovani,
Marcela Regina de Camargo,
Alan Abrão Rosell,
Cristina Elena Prado Teles Fregonesi,
Ismael Forte Freitas
Publication year - 2011
Publication title -
revista brasileira de cineantropometria and desempenho humano
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.197
H-Index - 20
eISSN - 1980-0037
pISSN - 1415-8426
DOI - 10.5007/1980-0037.2011v13n2p124
Subject(s) - overweight , valgus , medicine , population , pelvic tilt , physical therapy , obesity , orthodontics , radiography , surgery , environmental health
Overweight and obesity have reached epidemic proportions, especially among schoolchildren, and have become a global health problem. Many adaptations in postural organization are observed in overweight and obese children, which have serious consequences. Posture assessment contributes to the understanding of these changes. The aim of this study was to assess changes in lower limb posture of overweight and obese children using a specific method. Twenty-two subjects, 9 girls and 13 boys, aged 5-9 years participated in the study. Posture was assessed by photogrammetry using the SAPo software. The lower limb joint angles and plantar projection of the center of gravity were analyzed. Nonparametric and descriptive statistics were used, in addition to the Kruskal-Wallis and Mann-Whitney tests (p < 0.05) for comparison between genders. Both groups showed anterior pelvic tilt and slight rotation (to the right in girls and to the left in boys), hyperextension, and valgus knees and ankles. The center of gravity presented 26.95% anteriorization. In conclusion, posture assessment in this population was consistent with literature findings and the method used permitted the quantification of data for future comparisons