Maternal marital status predicts self-reported stress among pregnant women following hurricane Florence

Effects of family life cycle events on individual Body Mass Index trajectories: Evidence from China

PURPOSE

Body mass index (BMI) is an important predictor of one's physiological health. China is a family-centric nation compared to Western societies and has already entered an aged society. Exploring the characteristics and patterns of BMI changes during household events in China provides critical insights into the biological and social determinants of health, which can help enhance the scientific validity of health promotion measures and contribute to the realization of healthy aging goals in China.

METHODS

Using data from the China Health and Nutrition Survey (CHNS) from 1993 to 2015, this article utilizes two-level growth curve models with piecewise spline specifications for age to examine the effects of family life cycle events on BMI trajectories for age groups and gender differences.

RESULTS

Compared to continuing status, experiencing transition in an individual's family life cycle could lead to more fluctuating variations in their BMI trajectories, generally, there is a faster increase in BMI during youth and a faster decline during old age. As for gender heterogeneity, males are more affected by divorce, widowhood, and empty nest, whereas females' BMI changes are influenced by entering/maintaining marriage and parenthood.

CONCLUSIONS

A long-term perspective has revealed the significance of family events on BMI throughout the life course. Future research should focus on the nutrition and health of specific populations, especially elderly individuals in vulnerable groups.

Maternal stress and hair cortisol among pregnant women following hurricane Florence

Natural disasters represent major stressors, resulting in psychological distress and physiological responses such as increased cortisol. During pregnancy, this impacts not only maternal well-being, but also fetal development. In 2018, Hurricane Florence caused extensive damage across the eastern United States. Studies indicated that compared to married pregnant women, unmarried pregnant women had higher risk of distress. Here we assess hair cortisol among a subsample of participants, and variations based on marital status.

METHODS

We analyzed multiple stress measures among 37 participants who were pregnant during Hurricane Florence. We used questionnaires modeled on previous studies to assess hardship associated with the hurricane, psychological distress, sociodemographic characteristics, social support, and food security. We analyzed cortisol concentrations in proximal and distal hair sections, representing stress around the time of the disaster (distal) and 3-4 months following the disaster (proximal). We used linear regression to test relationships between hair cortisol and self-report stress measures, and variations based on marital status.

RESULTS

Self-report measures of distress and hardship were similar among married and unmarried participants. Mean cortisol levels in distal and proximal sections were higher among unmarried participants. Controlling for confounding variables, hardship was not associated with hair cortisol. Distress predicted cortisol in distal sections (β = .482, p = .018), with a trend for proximal sections (β = .368, p = .055). Marital status was a significant predictor of distal (β = .388, p = .027) and proximal (β = .333, p = .047) hair cortisol, explaining 8.6%-11.7% of unique variance.

CONCLUSIONS

Preexisting and intersecting risk factors likely place unmarried pregnant individuals at risk of stress during and following a disaster.

"Go with the Flo": Conducting rapid research on prenatal stress following Hurricane Florence as participant observers

In this article, we explore the challenges of conceptualizing, designing, and establishing a rapid research agenda as a local researcher following a disaster. We share what we learned while developing and implementing this rapid study and explore the challenges shaped by time pressures, our local context, and resource availability. We identify four core challenges, experienced conducting rapid research, and provide suggestions to overcome these challenges. Our goal is to provide insight to undergraduates, graduate students, and professionals who are considering rapid research inside or outside their own communities.