Brandon D. Becker

The Physical and Mental Health of Head Start Staff: The Pennsylvania Head Start Staff Wellness Survey, 2012

Introduction Despite attention to the health of low-income children in Head Start, little is known about the health of adults working for the program. The objective of our study was to compare the physical and mental health of women working in Pennsylvania Head Start programs with the health of US women who have similar sociodemographic characteristics. Methods We used data from a web-based survey in 2012 in which 2,199 of 3,375 (65.2%) staff in 66 Pennsylvania Head Start programs participated. For the 2,122 female respondents, we determined the prevalence of fair or poor health status, frequent (≥14 d/mo) unhealthy days, frequent (≥10 d/y) work absences due to illness, diagnosed depression, and 3 or more of 6 physical health conditions. We compared these prevalences with those found in 2 national samples of employed women of similar age, education, race/ethnicity, and marital status. Results Among Head Start staff, 85.7% were non-Hispanic white, 62.4% were married, and 60.3% had completed college. The prevalence (% [95% confidence interval]) of several health indicators was higher in Head Start staff than in the national samples: fair or poor health (14.6% [13.1%–16.1%] vs 5.1% [4.5%–5.6%]), frequent unhealthy days (28.3% [26.3%–30.2%] vs 14.5% [14.1%–14.9%]), diagnosed depression (23.5% [21.7%–25.3%] vs 17.6% [17.1%–18.0%]), and 3 or more physical health conditions (21.8% [20.0%–23.6%] vs 12.6% [11.7%–13.5%]). Conclusion Women working with children in Head Start programs have poorer physical and mental health than do US women who have similar sociodemographic characteristics.

Adverse childhood experiences, dispositional mindfulness, and adult health

OBJECTIVE To determine whether greater dispositional mindfulness is associated with better adult health across a range of exposures to adverse childhood experiences (ACEs). METHODS In 2012, a web-based survey of 2160 Pennsylvania Head Start staff was conducted. We assessed ACE score (count of eight categories of childhood adversity), dispositional mindfulness (Cognitive and Affective Mindfulness Scale-Revised), and the prevalence of three outcomes: multiple health conditions (≥ 3 of 7 conditions), poor health behavior (≥ 2 of 5 behaviors), and poor health-related quality of life (HRQOL) (≥ 2 of 5 indicators). RESULTS Respondents were 97% females, and 23% reported ≥ 3 ACEs. The prevalences of multiple health conditions, poor health behavior, and poor HRQOL were 29%, 21%, and 13%, respectively. At each level of ACE exposure, health outcomes were better in those with greater mindfulness. For example, among persons reporting ≥ 3 ACEs, those in the highest quartile of mindfulness had a prevalence of multiple health conditions two-thirds that of those in the lowest quartile (adjusted prevalence ratio (95% confidence interval)=0.66 (0.51, 0.86)); for those reporting no ACEs, the ratio was 0.62 (0.41, 0.94). CONCLUSION Across a range of exposures to ACEs, greater dispositional mindfulness was associated with fewer health conditions, better health behavior, and better HRQOL.

Development and Evaluation of a Short Adverse Childhood Experiences Measure

INTRODUCTION Clinicians require tools to rapidly identify individuals with significant childhood adversity as part of routine primary care. The goal of this study was to shorten the 11-item Behavioral Risk Factor Surveillance System Adverse Childhood Experiences (ACEs) measure and evaluate the feasibility and validity of this shortened measure as a screener to identify adults who have experienced significant childhood adversity. METHODS Statistical analysis was conducted in 2015. ACE item responses obtained from 2011-2012 Behavioral Risk Factor Surveillance System data were combined to form a sample of 71,413 adults aged ≥18 years. The 11-item Behavioral Risk Factor Surveillance System ACE measure was subsequently reduced to a two-item screener by maintaining the two dimensions of abuse and household stressors and selecting the most prevalent item within each dimension. RESULTS The screener included household alcohol and childhood emotional abuse items. Overall, 42% of respondents and at least 75% of the individuals with four or more ACEs endorsed one or both of these experiences. Using the 11-item ACE measure as the standard, a cut off of one or more ACEs yielded a sensitivity of 99%, but specificity was low (66%). Specificity improved to 94% when using a cut off of two ACEs, but sensitivity diminished (70%). There was no substantive difference between the 11-and two-item ACE measures in their strength of association with an array of health outcomes. CONCLUSIONS A two-item ACE screener appropriate for rapid identification of adults who have experienced significant childhood adversity was developed.

Patient Reported Outcomes Measurement Information System® (PROMIS®) Tools for Collecting Patient‐Reported Outcomes in Children with Juvenile Arthritis

To evaluate the precision and construct validity of pediatric Patient‐Reported Outcomes Measurement Information System (PROMIS) instruments in a population of juvenile idiopathic arthritis (JIA) patients and parent proxies.