{"id":48433,"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":"2021-10-02T10:03:04","modified_gmt":"2021-10-02T10:03:04","slug":"tabla-4-146-03","status":"publish","type":"tablas","link":"https:\/\/revista-apunts.com\/en\/tablas\/tabla-4-146-03\/","title":{"rendered":"Table 4 – 146.03"},"content":{"rendered":"\n

Table 4<\/h2>\n\n\n\n

Linear regression models comparing body composition variables of the predicted DXA and anthropometry (TRUNK).<\/em><\/em><\/em><\/em><\/em><\/em><\/em><\/p>\n\n\n\n
Modelo<\/td>Cor (p<\/em>)<\/td>Int.<\/td>B<\/td>R2<\/sup><\/td>EEE (kg)<\/td><\/tr>
BMC ~ SubS <\/td>.78**<\/td>0.01<\/td>0.41<\/td>.57**<\/td>0.13<\/td><\/tr>
BMC ~ MS <\/td>.81**<\/td>0.01<\/td>0.44<\/td>.63**<\/td>0.13<\/td><\/tr>
BMC ~ SiS <\/td>.71**<\/td>0.01<\/td>0.41<\/td>.47**<\/td>0.15<\/td><\/tr>
BMC ~ AS <\/td>.79**<\/td>0.01<\/td>0.36<\/td>.59**<\/td>0.13<\/td><\/tr>
BMC ~ \u03a3TS <\/td>.75**<\/td>0.00<\/td>0.38<\/td>.54**<\/td>0.14<\/td><\/tr>
FM ~ SubS <\/td>.87**<\/td>0.35<\/td>2.52<\/td>.75**<\/td>2.20<\/td><\/tr>
FM ~ MS <\/td>.83**<\/td>0.30<\/td>3.63<\/td>.67**<\/td>2.51<\/td><\/tr>
FM ~ SiS <\/td>.71**<\/td>0.27<\/td>3.23<\/td>.47**<\/td>3.21<\/td><\/tr>
FM ~ AS <\/td>.83**<\/td>0.28<\/td>1.76<\/td>.67**<\/td>2.54<\/td><\/tr>
FM ~ \u03a3TS <\/td>.83**<\/td>0.08<\/td>1.96<\/td>.67**<\/td>2.54<\/td><\/tr>
FM ~ AC <\/td>71*<\/td>0.28<\/td>-17.22<\/td>.47**<\/td>3.22<\/td><\/tr>
LM ~ SiS <\/td>70**<\/td>0.21<\/td>18.60<\/td>.45**<\/td>2.65<\/td><\/tr>
LM ~ AS <\/td>.75<\/td>0.21<\/td>17.92<\/td>.53**<\/td>2.46<\/td><\/tr>
LM ~ \u03a3TS <\/td>.73<\/td>0.05<\/td>18.25<\/td>.49**<\/td>2.56<\/td><\/tr>
TM ~ SubS <\/td>.93<\/td>0.58<\/td>22.26<\/td>.85**<\/td>2.61<\/td><\/tr>
TM ~ MS <\/td>.90<\/td>0.50<\/td>23.86<\/td>.81**<\/td>2.99<\/td><\/tr>
TM ~ SiS <\/td>.85<\/td>0.49<\/td>22.24<\/td>.70**<\/td>3.79<\/td><\/tr>
TM ~AS <\/td>.95<\/td>0.50<\/td>20.04<\/td>.89**<\/td>2.20<\/td><\/tr>
TM ~\u03a3TS <\/td>.93<\/td>0.13<\/td>20.59<\/td>.87**<\/td>2.49<\/td><\/tr>
TM ~ AC <\/td>.70<\/td>0.43<\/td>-7.21<\/td>.45**<\/td>5.11<\/td><\/tr>
%BF ~ SubS <\/td>.73<\/td>0.52<\/td>16.7<\/td>.50**<\/td>5.54%<\/td><\/tr>
Note. The symbol ~ represents the relationship between the variables being the left side of the table (dependent variable) and right side of the table (independent variable). COR: Correlation; INT: Intercept; B: Beta; SEE: standard error of estimate; BMC: bone mineral content; SubS: subscapular skinfold; MS: midaxillary skinfold; SiS: suprailiac skinfold; AS: abdominal skinfold; \u03a3TS: Sum of the trunk (midaxillary, chest, suprailiac and abdominal) skinfolds; FM: fat mass; AC: abdominal circumference; LM: lean mass; TM: total mass; %BF: percent body fat.
** Denotes significant correlation of p < .01<\/td><\/tr><\/tbody><\/table>\n\n\n\n
\n
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