{"id":48424,"date":"2021-09-28T17:31:51","date_gmt":"2021-09-28T17:31:51","guid":{"rendered":"https:\/\/revista-apunts.com\/tablas\/tabla-3-146-03\/"},"modified":"2021-10-02T09:58:08","modified_gmt":"2021-10-02T09:58:08","slug":"tabla-3-146-03","status":"publish","type":"tablas","link":"https:\/\/revista-apunts.com\/ca\/tablas\/tabla-3-146-03\/","title":{"rendered":"Taula 3 – 146.03"},"content":{"rendered":"\n

Taula 3<\/h2>\n\n\n\n

Models de regressi\u00f3 lineal per comparar variables de composici\u00f3 corporal de la DXA prevista i d\u2019antropometria (bra\u00e7 i cama).<\/em><\/em><\/em><\/em><\/em><\/em><\/em><\/p>\n\n\n\n
Bra\u00e7<\/td><\/tr>
Model<\/td>Cor (p<\/em>)<\/td>Int.<\/td>B<\/td>R2<\/sup><\/td>EEE (kg)<\/td><\/tr>
MG ~ Log PCB<\/td>.81**<\/td>2.24<\/td>0.61<\/td>.64**<\/td>0.35<\/td><\/tr>
MG ~ Log PCT<\/td>.80**<\/td>2.00<\/td>0.82<\/td>.61**<\/td>0.36<\/td><\/tr>
MG ~ \u2211PCB<\/td>.83**<\/td>0.05<\/td>0.26<\/td>.66**<\/td>0.37<\/td><\/tr>
MG ~ CBR<\/td>.75**<\/td>0.10<\/td>1.94<\/td>.52**<\/td>0.40<\/td><\/tr>
MG ~ CBC<\/td>.77**<\/td>0.10<\/td>2.35<\/td>.57**<\/td>0.38<\/td><\/tr>
% GC ~ Log PCB<\/td>.70**<\/td>0.20<\/td>0.01<\/td>.46**<\/td>4.43%<\/td><\/tr>
% GC ~ SPCB<\/td>.71**<\/td>0.44<\/td>0.01<\/td>.47**<\/td>4.39%<\/td><\/tr>
MT ~ Log PCB<\/td>.76**<\/td>5.55<\/td>0.82<\/td>.55**<\/td>1.02<\/td><\/tr>
MT ~ Log PCT<\/td>.72**<\/td>4.73<\/td>0.53<\/td>.47**<\/td>1.11<\/td><\/tr>
MT ~ \u2211PCB<\/td>.73**<\/td>0.12<\/td>3.09<\/td>.50**<\/td>1.08<\/td><\/tr>
MT ~ PBR<\/td>.73**<\/td>0.26<\/td>2.83<\/td>.50**<\/td>1.08<\/td><\/tr>
MT ~ PBC<\/td>.72**<\/td>0.26<\/td>3.39<\/td>.48**<\/td>1.10<\/td><\/tr>
Cama<\/td><\/tr>
Model<\/td>Cor (p<\/em>)<\/td>Int.<\/td>B<\/td>R2<\/sup><\/td>EEE (kg)<\/td><\/tr>
CMO ~ PCPanx<\/td>.72<\/td>0.01<\/td>0.13<\/td>.48**<\/td>0.10<\/td><\/tr>
CMO ~ PM<\/td>.71<\/td>0.02<\/td>-0.35<\/td>.47**<\/td>0.10<\/td><\/tr>
CMO ~ PP<\/td>.72<\/td>0.03<\/td>-0.53<\/td>.49**<\/td>0.10<\/td><\/tr>
MG ~ PCM<\/td>.79<\/td>0.16<\/td>0.69<\/td>.60**<\/td>1.19<\/td><\/tr>
MG ~ PCPanx<\/td>.85<\/td>0.18<\/td>0.73<\/td>.70**<\/td>1.03<\/td><\/tr>
MG ~ \u2211PCC<\/td>.84<\/td>0.09<\/td>0.54<\/td>.68**<\/td>1.06<\/td><\/tr>
MG ~ PM<\/td>0.21<\/td>-5.23<\/td>.46**<\/td>1.38<\/td>1.38<\/td><\/tr>
MG ~ PP<\/td>.78<\/td>0.41<\/td>-8.65<\/td>.57**<\/td>1.23<\/td><\/tr>
MM ~ PP<\/td>.73<\/td>0.39<\/td>-5.73<\/td>.50**<\/td>1.36<\/td><\/tr>
MT ~ PCPanx<\/td>.70<\/td>0.25<\/td>6.13<\/td>.46**<\/td>2.30<\/td><\/tr>
MT ~ PM<\/td>.82<\/td>0.40<\/td>-7.00<\/td>.66**<\/td>1.82<\/td><\/tr>
MT ~ PP<\/td>.95<\/td>0.83<\/td>-14.91<\/td>.91**<\/td>0.92<\/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: correlaci\u00f3; INT: intersecci\u00f3; B: beta; EEE: error est\u00e0ndard d\u2019estimaci\u00f3; MG: massa grassa; Log PCB: logaritme del plec cutani bicipital; Log PCT: logaritme del plec cutani tricipital; \u2211PCB: suma dels plecs cutanis del bra\u00e7 (bicipital i tricipital); PBR: per\u00edmetre del bra\u00e7 relaxat; PBC: per\u00edmetre del bra\u00e7 en tensi\u00f3; % GC: percentatge de greix corporal; MT: massa total; CMO: contingut mineral ossi; PCPanx: plec cutani del panxell; \u2211PCC: suma dels plecs cutanis de la cama (cuixa i panxell); PCu: per\u00edmetre de la cuixa; PP: per\u00edmetre del panxell; PCC: plec cutani de la cuixa; MM: massa magra.
** Indica correlaci\u00f3 significativa de p<\/em> < .01.<\/td><\/tr><\/tbody><\/table>\n\n\n\n
\n
Tornar a l’article<\/a><\/div>\n<\/div>\n\n\n\n

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