Extended Data Fig. 10: Effects of meteorological parameters at the pregnancy periods on BAT activity in adulthood.
From: Pre-fertilization-origin preservation of brown fat-mediated energy expenditure in humans
(a) Multivariate logistic regression analysis for predicting independent effect of diurnal temperature gap, calculated as difference between maximum and mean outdoor temperature, on BAT activity (n = 93, model 3). The calculated diurnal temperature gap was added in the model in addition to daily mean temperature and the other meteorological parameters. Age, BMI, the medical history of low birth weight, and lifestyle factors such as smoking and shift work status were included in the model as potential confounding factors. (b) Association between BAT prevalence and diurnal temperature gap in a. The participants were divided into three groups according to the tertile of diurnal temperature gap in the five pregnancy periods. The number of participants of high and low BAT subjects were indicated on the graph. (a, b) Biologically independent participants. (a) Data are presented as adjusted ORs with 95% CIs as error bars and two-tailed P values by multivariate logistic regression analysis with backward stepwise method. High and low BAT coded as 1 and 0, respectively, as the dependent variable. The models were adjusted for the tertile values for age and BMI, the medical history of low birth weight, smoking status, shift work status. (b) Data are percentage with two-tailed P values by Chi-squared linear-by-linear association test.
