Your English writing platform
Discover LudwigSimilar(60)
Sleeping HR and recovery HR also reflect CRF in an inverse manner (Brage et al., 2007; Darr et al., 1988).
In the present study, recovery HR was highest in the Luo among both women and men, while sleeping HR was similar among the three ethnic groups.
We used sleeping HR, step recovery HR, and estimated VO2max as dependent CRF variables.
Mean sleeping HR was 73.6 (8.0) beats/min and grip strength was 21.6 (4.5) kg.
From these data, sleeping HR, average HR above sleep and body movement (accelerometry) during free-living, as well as physical activity phenotypes were derived.
Sleeping HR was positively associated with gestational age, weight, BMI, AFA, and education in the simple analysis (Table 4).
Furthermore, a 10 cm higher value in AFA was associated with a difference in sleeping HR of 1.6 beats/min.
Sleeping HR was determined as the average of the non-noisy daily HR minima across all measured days except the first.
The multiple regression models for AEE, sleeping HR, and grip strength were performed using backward elimination including selected predictor variables only.
The predictors of AEE, sleeping HR, and grip strength are presented in Table 4 and Table 5, based on simple and multiple regression analyses, respectively.
However, AFA was positively associated with sleeping HR and since this measure is likely unaffected by pregnancy, AFA may reflect the amount of fat present prior to pregnancy.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com