{"id":48432,"date":"2021-09-28T19:45:00","date_gmt":"2021-09-28T19:45:00","guid":{"rendered":"https:\/\/revista-apunts.com\/tablas\/tabla-4-146-03\/"},"modified":"2021-09-30T15:43:09","modified_gmt":"2021-09-30T15:43:09","slug":"tabla-4-146-03","status":"publish","type":"tablas","link":"https:\/\/revista-apunts.com\/ca\/tablas\/tabla-4-146-03\/","title":{"rendered":"Taula 4 – 146.03"},"content":{"rendered":"\n

Taula 4<\/h2>\n\n\n\n

Models de regressi\u00f3 lineal per comparar variables de composici\u00f3 corporal de la DXA prevista i antropometria (tronc).<\/em><\/em><\/em><\/em><\/em><\/em><\/em><\/p>\n\n\n\n
Model<\/td>Cor (p<\/em>)<\/td>Int.<\/td>B<\/td>R2<\/sup><\/td>EEE (kg)<\/td><\/tr>
CMO ~ PCS<\/td>.78**<\/td>0.01<\/td>0.41<\/td>.57**<\/td>0.13<\/td><\/tr>
CMO ~ PCMA<\/td>.81**<\/td>0.01<\/td>0.44<\/td>.63**<\/td>0.13<\/td><\/tr>
CMO ~ PCSi<\/td>.71**<\/td>0.01<\/td>0.41<\/td>.47**<\/td>0.15<\/td><\/tr>
CMO ~ PCA<\/td>.79**<\/td>0.01<\/td>0.36<\/td>.59**<\/td>0.13<\/td><\/tr>
CMO ~ \u2211PCT<\/td>.75**<\/td>0.00<\/td>0.38<\/td>.54**<\/td>0.14<\/td><\/tr>
MG ~ PCS<\/td>.87**<\/td>0.35<\/td>2.52<\/td>.75**<\/td>2.20<\/td><\/tr>
MG ~ PCMA<\/td>.83**<\/td>0.30<\/td>3.63<\/td>.67**<\/td>2.51<\/td><\/tr>
MG ~ PCSi<\/td>.71**<\/td>0.27<\/td>3.23<\/td>.47**<\/td>3.21<\/td><\/tr>
MG ~ PCA<\/td>.83**<\/td>0.28<\/td>1.76<\/td>.67**<\/td>2.54<\/td><\/tr>
MG ~ \u2211PCT<\/td>.83**<\/td>0.08<\/td>1.96<\/td>.67**<\/td>2.54<\/td><\/tr>
MG ~ PA<\/td>71*<\/td>0.28<\/td>-17.22<\/td>.47**<\/td>3.22<\/td><\/tr>
MM ~ PCSi<\/td>70**<\/td>0.21<\/td>18.60<\/td>.45**<\/td>2.65<\/td><\/tr>
MM ~ PCA<\/td>.75<\/td>0.21<\/td>17.92<\/td>.53**<\/td>2.46<\/td><\/tr>
MM ~ \u2211PCT<\/td>.73<\/td>0.05<\/td>18.25<\/td>.49**<\/td>2.56<\/td><\/tr>
MT ~ PCS<\/td>.93<\/td>0.58<\/td>22.26<\/td>.85**<\/td>2.61<\/td><\/tr>
MT ~ PCMA<\/td>.90<\/td>0.50<\/td>23.86<\/td>.81**<\/td>2.99<\/td><\/tr>
MT ~ PCSi<\/td>.85<\/td>0.49<\/td>22.24<\/td>.70**<\/td>3.79<\/td><\/tr>
MT ~ PCA<\/td>.95<\/td>0.50<\/td>20.04<\/td>.89**<\/td>2.20<\/td><\/tr>
MM ~ \u2211PCT<\/td>.93<\/td>0.13<\/td>20.59<\/td>.87**<\/td>2.49<\/td><\/tr>
MT ~ PA<\/td>.70<\/td>0.43<\/td>-7.21<\/td>.45**<\/td>5.11<\/td><\/tr>
% GC ~ PCS<\/td>.73<\/td>0.52<\/td>16.7<\/td>.50**<\/td>5.54%<\/td><\/tr>
Nota. El s\u00edmbol ~ representa la relaci\u00f3 entre les variables al costat esquerre de la taula (variable dependent) i el costat dret de la taula (variable independent).
COR:\u00a0correlaci\u00f3; INT:\u00a0intersecci\u00f3; B:\u00a0beta; EEE:\u00a0error est\u00e0ndard d\u2019estimaci\u00f3; CMO:\u00a0contingut mineral ossi; PCS:\u00a0plec cutani subescapular; PCMA:\u00a0plec cutani mitj\u00e0 axil\u00b7lar; PCSi:\u00a0plec cutani suprail\u00edac; PCA:\u00a0plec cutani abdominal; \u2211PCT:\u00a0suma dels plecs cutanis del tronc (axil.lar mitjana, pit, suprail\u00edac i abdominal); MG:\u00a0massa grassa; PA:\u00a0per\u00edmetre abdominal; MM:\u00a0massa magra; MT:\u00a0massa total; % GC:\u00a0percentatge de greix corporal.
** Indica correlaci\u00f3 significativa de p < .01.<\/td><\/tr><\/tbody><\/table>\n\n\n\n
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