The Impact of Medical Physical Training and a Structured Personalized Exercise Training Program on Hemodynamic Parameters and Arterial Stiffness in Pregnant Women.

INTRODUCTION: In developed countries, heart disease is the primary cause of maternal mortality during pregnancy. Arterial stiffness, an independent risk factor for atherosclerosis and a predictor of cardiovascular complications, can be assessed using the augmentation index (AIx) and pulse wave velocity (PWV). In this prospective study, we aimed to evaluate diverse hemodynamic parameters and arterial stiffness in pregnant women before and after participating in a structured, personalized exercise training program. MATERIALS AND METHODS: Forty healthy pregnant women, non-smokers, who agreed to participate daily for 12 weeks in a physical exercise training program under the supervision of a team made up of an obstetrician, a cardiologist, and a physiotherapist were included. Anthropometric characteristics, arterial function, and physical activity data were collected from the participants at two different time points: at the beginning of the exercise training program (T0) and at the end, after 12 weeks (T1). RESULTS: Upon conducting a statistical analysis, it was discovered that there were noteworthy disparities (p = 0.05) in body mass index, brachial AIx, systolic blood pressure, and pulse pressure values between the two time points. The regression analysis for the AIx brachial values and the PWVao values from Trim II (T0) and Trim III (T1) showed major differences between these two time points; the association between the AIx brachial values in the second and third trimesters of pregnancy revealed a strong direct significant correlation (p < 0.001), and the correlation between the PWVao values in the second (T0) and third trimester (T1) of pregnancy was weak and insignificant (p = 0.12). CONCLUSIONS: The findings of our study indicate that a personalized exercise training program positively impacts the physical and psychological well-being of pregnant women, leading to a reduction in PWV.

What makes Americans fall behind in their finances? Evidence from the national well-being survey.

The question of how often Americans fall behind on their finances is analyzed using the National Financial Well-Being survey of the United States Consumer Financial Protection Bureau. An ordered logit model is proposed to study the effect of individual and household characteristics on the likelihood of falling behind in one's finances. The analysis shows that traditional variables such as income, age, education, and health are statistically significant predictors of falling behind in one's finances. In addition, the study shows that the volatility of income, saving habits, and individuals' financial knowledge significantly contribute to the explanation of Americans' economic behavior.