Background
The promise of precision medicine could be stymied if people do not accept the legitimacy of personalized risk information. We tested 4 explanations for skepticism of personalized diabetes risk information.

Method
We recruited participants (N = 356; M_age = 48.6 [s = 9.8], 85.1% women, 59.0% non-Hispanic white) from community locations (e.g., barbershops, churches) for a risk communication intervention. Participants received personalized information about their risk of developing diabetes and heart disease, stroke, colon cancer, and/or breast cancer (women). Then they completed survey items. We combined 2 items (recalled risk, perceived risk) to create a trichotomous risk skepticism variable (acceptance, overestimation, underestimation). Additional items assessed possible explanations for risk skepticism: 1) information evaluation skills (education, graph literacy, numeracy), 2) motivated reasoning (negative affect toward the information, spontaneous self-affirmation, information avoidance); 3) Bayesian updating (surprise), and 4) personal relevance (racial/ethnic identity). We used multinomial logistic regression for data analysis.

Results
Of the participants, 18% believed that their diabetes risk was lower than the information provided, 40% believed their risk was higher, and 42% accepted the information. Information evaluation skills were not supported as a risk skepticism explanation. Motivated reasoning received some support; higher diabetes risk and more negative affect toward the information were associated with risk underestimation, but spontaneous self-affirmation and information avoidance were not moderators. For Bayesian updating, more surprise was associated with overestimation. For personal relevance, belonging to a marginalized racial/ethnic group was associated with underestimation.

Conclusion
There are likely multiple cognitive, affective, and motivational explanations for risk skepticism. Understanding these explanations and developing interventions that address them will increase the effectiveness of precision medicine and facilitate its widespread implementation.

Purpose: This investigation was to compare differences in skeletal muscle oxygen consumption ([Formula: see text]) and mitochondrial recovery between voluntary (VOL) and electrically stimulated (ES) plantarflexion contractions.

Methods: Twelve men and women (26 ± 4.0 years; 171.8 ± 5.1 cm; 74.0 ± 13.7 kg) were seated in a chair with their right knee fully extended and right foot secured to a force transducer. ES electrodes and a near-infrared spectroscopy device were placed on the gastrocnemius. Participants performed ES plantarflexion contractions across a range of stimulation intensities at frequencies of 1 and 2 Hz and similar VOL contractions. Cuff occlusion occurred immediately following each series of contractions to measure [Formula: see text]. A standardized mitochondrial function assessment protocol was also performed to calculate K-constants between work-matched ES and VOL contractions.

Results: For mitochondrial assessments, there were no significant differences between ES and VOL rate constants (2.03 ± 0.98 vs. 1.25 ± 1.35 min-1, p = 0.266). ES resulted in a significantly greater workrate-[Formula: see text] slope at 1 Hz (0.007 ± 0.007 vs. 0.001 ± 0.002% [Formula: see text]/s/N, p = 0.014) and 2 Hz (0.010 ± 0.010 vs. 0.001 ± 0.001% [Formula: see text]/s/N, p = 0.012), as well as a significantly greater workrate-[Formula: see text] Y-intercept at 2 Hz (1.603 ± 1.513 vs. 0.556 ± 0.564% [Formula: see text]/s, p = 0.035) but not 1 Hz (0.579 ± 0.448 vs. 0.442 ± 0.357% mV̇O2/s, p = 0.535) when compared to VOL.

Conclusion: ES results in a significantly greater [Formula: see text] at similar work rates compared to VOL, however, the mitochondrial recovery rate constants were similar. The greater mVO2 with ES may partially contribute to the increased rate of fatigue during ES exercise in individuals with muscle paralysis.

Background: The promise of precision medicine could be stymied if people do not accept the legitimacy of personalized risk information. We tested 4 explanations for skepticism of personalized diabetes risk information.

Method: We recruited participants (N = 356; Mage = 48.6 [s = 9.8], 85.1% women, 59.0% non-Hispanic white) from community locations (e.g., barbershops, churches) for a risk communication intervention. Participants received personalized information about their risk of developing diabetes and heart disease, stroke, colon cancer, and/or breast cancer (women). Then they completed survey items. We combined 2 items (recalled risk, perceived risk) to create a trichotomous risk skepticism variable (acceptance, overestimation, underestimation). Additional items assessed possible explanations for risk skepticism: 1) information evaluation skills (education, graph literacy, numeracy), 2) motivated reasoning (negative affect toward the information, spontaneous self-affirmation, information avoidance); 3) Bayesian updating (surprise), and 4) personal relevance (racial/ethnic identity). We used multinomial logistic regression for data analysis.

Results: Of the participants, 18% believed that their diabetes risk was lower than the information provided, 40% believed their risk was higher, and 42% accepted the information. Information evaluation skills were not supported as a risk skepticism explanation. Motivated reasoning received some support; higher diabetes risk and more negative affect toward the information were associated with risk underestimation, but spontaneous self-affirmation and information avoidance were not moderators. For Bayesian updating, more surprise was associated with overestimation. For personal relevance, belonging to a marginalized racial/ethnic group was associated with underestimation.

Conclusion: There are likely multiple cognitive, affective, and motivational explanations for risk skepticism. Understanding these explanations and developing interventions that address them will increase the effectiveness of precision medicine and facilitate its widespread implementation.

Background
It is unclear if protective childhood experiences (PCEs), like emotional support and economic stability, exert influence on adulthood adjustment. Prior research suggests PCEs can promote childhood resilience through increased social connection. In contrast, research has demonstrated potential life-long negative impacts of adverse childhood experiences (ACEs) on psychological health. This study examined the role of PCEs and ACEs in psychological symptoms following potentially traumatic events (PTE) in adults.

Methods
Participants (N = 128) were adults admitted to two Level 1 Trauma Centers following violence, motor-vehicle crashes, or other accidents. Participants reported childhood experiences and completed assessments of depression, PTSD, and social support at one, four, and nine months post-PTE.

Results
Structural Equation Modeling was used to simultaneously model PCEs and ACEs as predictors of psychological symptoms over time, with potential mediation through social support. PCEs overall did not directly affect psychological symptoms nor indirectly through social support. However, the emotional support component of PCEs had an indirect effect on psychological symptoms at baseline through social support. ACEs predicted greater psychological symptoms at baseline and over time.

Conclusion
PCEs consisting of childhood emotional support indirectly promote adjustment in adults after PTEs through initial social support, while ACEs exert direct effects on psychological symptoms.

Background: Spiritual uncertainty is a new construct for end-of-life care that focuses on the questions, worries and doubts people have with end-of-life spirituality. Spiritual uncertainty can contribute to spiritual distress for patients and families dealing with the end of life, as well as lead healthcare providers to avoid spiritual care methods.

Aims: This article reports on the item construction of a new survey design to measure the spiritual uncertainty of healthcare providers.

Methods: Items were constructed from qualitative data gathered from five focus groups (with a total of 23 interdisciplinary hospice and palliative care providers being surveyed). Data were developed through three rounds of item construction, selection/refinement and assessment.

Findings: A final pool of 42 items was constructed to measure the spiritual uncertainty of healthcare providers. Expert validity was obtained by 16 interdisciplinary hospice and palliative care providers.

Conclusion: This survey is the first to measure spiritual uncertainty of healthcare providers. Additional research is needed to assess the psychometric properties of survey items.

Introduction
The THRIVE (Toward Health Resiliency and Infant Vitality & Equity) program aims to reduce racial disparities in birth outcomes by addressing individual risks and social determinants of health using the Pathways Community HUB model. This study examines (1) racial disparities among THRIVE participants and propensity score matched (PSM) comparisons in adequacy of prenatal care, and whether THRIVE participation (2) attenuates such disparities, and (3) improves odds of having adequate prenatal care.

Methods
Birth certificate and Care Coordination Systems client data were merged for analysis. PSM was employed for 1:1 matching per birth year (2017–2020) and race for participating and non-participating first-time births in Stark County, Ohio. Additional matching variables were age, marital status, education attainment, birth quarter, census tract poverty rate, and Women Infant & Children (WIC) enrollment. Logistic regression assessed racial differences in adequate prenatal care utilization (APNCU) and examined differences between the intervention and comparison groups on APNCU.

Results
THRIVE participants averaged more prenatal care visits and had a higher percentage of adequate care utilization than the comparison group. THRIVE program participation, educational attainment, and WIC enrollment were associated with higher odds of adequate prenatal care utilization (OR 4.74; 95% CI 2.62, 8.57). Race was not significant for APNCU.

Discussion
Although accessing and maintaining prenatal care is only one aspect of improving birth outcomes, the findings contribute to the understanding of the effects of the program of interest and other similar programs on factors which may promote desired birth outcomes in high-risk populations.