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. 2020 Mar 31;24(1):9–13. doi: 10.20463/pan.2020.0002

Table 2. Correlation between dependent variables and measured RMR for estimating regression model.

RMR (kcal/day)
Both
(n=53)
Males
(n=23)
Females
(n=30)
Age
(yrs)
Correlation
p-value
-.284*
.039
-.214
.327
-.212
.262
Body height
(cm)
Correlation
p-value
735*
.000
.171
.434
.200
.289
Body weight
(kg)
Correlation
p-value
.743*
.000
.293
.176
-.065
.732
Body mass index
(kg/m2)
Correlation
p-value
.536*
.000
.275
.204
-.231
.218
Fat-free mass
(kg)
Correlation
p-value
.817*
.000
.292
.176
.168
.375
Fat mass
(kg)
Correlation
p-value
-.191
.171
.142
.517
-.233
.215
Percent body fat
(%)
Correlation
p-value
-.631*
.000
.036
.870
-.259
.167
Systolic blood pressure
(mmHg)
Correlation
p-value
.408*
.002
.236
.278
-.250
.183
Diastolic blood pressure
(mmHg)
Correlation
p-value
.279*
.043
.295
.172
-.220
.242
Mean arterial pressure
(mmHg)
Correlation
p-value
.346*
.011
.292
.176
-.246
.191
Pulse pressure
(mmHg)
Correlation
p-value
.277*
.045
-.099
.653
-.097
.610
Heart rate
(beat/min)
Correlation
p-value
-.149
.288
.004
.986
-.060
.751

Note. *Significant correlation between measured RMR and dependent variables, p < 0.05. RMR = resting metabolic rate.