100 Chapter 5 age was the strongest predictor. (table 6) Similarly to weight gain, more gain in head circumference in this time frame was associated with a lower fat free mass percentage at term equivalent age. (table 6) Table 3. Associations between weight gain and body composition at term age Fat mass term age r (95% CI)¹ Fat free mass term age r (95% CI)¹ Fat mass percentage term age B (95% CI)² Fat free mass percentage term age B (95% CI)² Weight SDS 4 wks PNA 0.57 (0.37 – 0.72) 0.75 (0.60 – 0.84) 2.2 (0.4 – 4.0)a -2.2 (-4.0 – -0.4)b Weight SDS 36 wks PMA 0.64 (0.46 – 0.78) 0.82 ( 0.71 – 0.89) 1.8 (0.5 – 3.1)c -1.8 (-3.1 – -0.5)d Weight SDS Term age 0.62 (0.42 – 0.76) 0.62 (0.42 – 0.76) 1.7 (0.7 – 2.8)e -1.7 (-2.8 – -0.7)f Change in weight SDS birth – 4 wks PNA -0.54 (-0.70 – -0.32) -0.72 (-0.82 – -0.57) -198.9 (-383.3 – -14.6)g 200.9 (12.1 – 389.6)h Change in weight SDS birth – 36 weeks PMA 0.57 (0.37 – 0.72) 0.68 (0.51 – 0.80) 32.3 (9.2 – 55.5) i -32.9 (-56.6 – -9.1)j Change in weight SDS from 30 weeks PMA onwards 0.77 (0.65 – 0.86) 0.72 (0.56 – 0.82) 52.4 (34.7 – 70.1)k -53.9 (-72.0 – -35.9)l PMA: postmenstrual age, PNA: postnatal age All associations were statistically significant p < 0.05. ¹ Correlations were controlled for gestational age at birth and postmenstrual age at time of body composition measurement ² Gestational age at birth and postmenstrual age at the time of body composition measurement were entered in the regression model as covariates a R² 0.176, p 0.015; b R² 0.179, p 0.013; c R² 0.199, p 0.009; d R² 0.202, p 0.008; e R2 0.210, p 0.008; f R2 0.210, p 0.008; g R² 0.151, p 0.028; h R² 0.154, p 0.026; i R² 0.193, p 0.008; j R² 0.197, p 0.007; k R² 0.438, p < 0.001; l R² 0.445, p < 0.001;
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