Wages and employment security following a major disaster: A 17-year population-based longitudinal comparative study

Hurricane Michael and Adverse Social and Mental Health Risk Factors

OBJECTIVES

To assess changes in mental health and social risk factors in pregnant women in counties affected by Hurricane Michael (October 2018).

METHODS

Data from the Universal Perinatal Risk Screen (UPRS) and vital statistics for the state of Florida were obtained. Prenatal risk factors (unplanned pregnancy, mental health services, high stress, use of tobacco or alcohol, young children at home or with special needs, trouble paying bills) were compared in the year before and year after Hurricane Michael in affected counties (n = 18,887). Log-Poisson regression with robust variance was used for binary outcomes, adjusting for maternal age, race, BMI, and education.

RESULTS

A smaller proportion of pregnant women were screened in the months after the hurricane. No changes were seen in overall scores. The proportion referred was lower in the 1 month after Michael compared to that in 1 month before Michael (RR 0.78, 95% CI = 0.71, 0.86), but greater in the year after (RR = 1.07, 95% CI: 1.04, 1.10). Most individual risk factors on the screener did not change significantly, except having an illness that required ongoing medical care was less common in the short term (3 months after vs. 3 months before: aRR = 0.76, 95% CI: 0.66, 0.87), and more common in the longer term (1 year after vs. 1 year before, aRR = 1.09, 95% CI: 1.02, 1.18). Birth certificate data suggested smoking during pregnancy was higher among women who experienced Michael during their pregnancies (aRR = 1.15, 95% CI: 1.01, 1.32).

DISCUSSION

Perinatal screening and referral declined in the short-term aftermath of Hurricane Michael.

The Effect of Changes in Employment on Health of Work-Related Injured Workers: A Longitudinal Perspectives

This longitudinal study attempted to identify changes in employment status and overall health status. The participants were workers who had experienced work-related injuries in the past. In this study, we used the Panel Study of Workers’ Compensation Insurance from 2013 to 2017. This study utilized propensity score matching for a quasi-experimental design study of the first year to exclude the effects of the confounding variables and exclude the effect of employment status, which is the main independent variable. After applying propensity score matching the research subjects totaled 1070. Changes in employment status were found to have a negative effect on overall health status. This raises new implications for existing industrial accident-related support policies. Thus, it is considered that the scope should be expanded from policies related to re-employment of workers after an industrial accident to improving quality of life through maintaining employment from a long-term perspective. The notable point of this study was to apply the PSM methods. By applying PSM, we clearly identified the effect of changes in employment status on health status.