The effectiveness of community-based participatory research (CBPR) partnerships to address health inequities is well documented. CBPR integrates knowledge and perspectives of diverse communities throughout the research process, following principles that emphasize trust, power sharing, co-learning, and mutual benefits. However, institutions and funders seldom provide the time and resources needed for the critical stage of equitable partnership formation and development.

Since 2011, the Detroit Urban Research Center, collaborating with other entities, has promoted the development of new community–academic research partnerships through two grant programs that combine seed funding with capacity building support from community and academic instructors/mentors experienced in CBPR. Process and outcomes were evaluated using mixed methods.

From 2011 to 2021, 50 partnerships received grants ranging from $2,500 to $30,000, totaling $605,000. Outcomes included equitable partnership infrastructure and processes, innovative pilot research, translation of findings to interventions and policy change, dissemination to multiple audiences, new proposals and projects, and sustained community–academic research partnerships. All partnerships continued beyond the program; over half secured additional funding.

Keys to success included participation as community–academic teams, dedicated time for partnership/relationship development, workshops to develop equity-based skills, relationships, and projects, expert community–academic instructor guidance, and connection to additional resources. Findings demonstrate that small amounts of seed funding for newly forming community–academic partnerships, paired with capacity building support, can provide essential time and resources needed to develop diverse, inclusive, equity-focused CBPR partnerships. Building such support into funding initiatives and through academic institutions can enhance impact and sustainability of translational research toward advancing health equity.

Clarifying the relationship between depression symptoms and cardiometabolic and related health could clarify risk factors and treatment targets. The objective of this study was to assess whether depression symptoms in midlife are associated with the subsequent onset of cardiometabolic health problems.

The study sample comprised 787 male twin veterans with polygenic risk score data who participated in the Harvard Twin Study of Substance Abuse (‘baseline’) and the longitudinal Vietnam Era Twin Study of Aging (‘follow-up’). Depression symptoms were assessed at baseline [mean age 41.42 years (s.d. = 2.34)] using the Diagnostic Interview Schedule, Version III, Revised. The onset of eight cardiometabolic conditions (atrial fibrillation, diabetes, erectile dysfunction, hypercholesterolemia, hypertension, myocardial infarction, sleep apnea, and stroke) was assessed via self-reported doctor diagnosis at follow-up [mean age 67.59 years (s.d. = 2.41)].

Total depression symptoms were longitudinally associated with incident diabetes (OR 1.29, 95% CI 1.07–1.57), erectile dysfunction (OR 1.32, 95% CI 1.10–1.59), hypercholesterolemia (OR 1.26, 95% CI 1.04–1.53), and sleep apnea (OR 1.40, 95% CI 1.13–1.74) over 27 years after controlling for age, alcohol consumption, smoking, body mass index, C-reactive protein, and polygenic risk for specific health conditions. In sensitivity analyses that excluded somatic depression symptoms, only the association with sleep apnea remained significant (OR 1.32, 95% CI 1.09–1.60).

A history of depression symptoms by early midlife is associated with an elevated risk for subsequent development of several self-reported health conditions. When isolated, non-somatic depression symptoms are associated with incident self-reported sleep apnea. Depression symptom history may be a predictor or marker of cardiometabolic risk over decades.

Heavy alcohol consumption is associated with poorer cognitive function in older adults. Although understudied in middle-aged adults, the relationship between alcohol and cognition may also be influenced by genetics such as the apolipoprotein (ApoE) ε4 allele, a risk factor for Alzheimer’s disease. We examined the relationship between alcohol consumption, ApoE genotype, and cognition in middle-aged adults and hypothesized that light and/or moderate drinkers (≤2 drinks per day) would show better cognitive performance than heavy drinkers or non-drinkers. Additionally, we hypothesized that the association between alcohol use and cognitive function would differ by ApoE genotype (ε4+ vs. ε4−).

Participants were 1266 men from the Vietnam Era Twin Study of Aging (VETSA; M age = 56; range 51–60) who completed a neuropsychological battery assessing seven cognitive abilities: general cognitive ability (GCA), episodic memory, processing speed, executive function, abstract reasoning, verbal fluency, and visuospatial ability. Alcohol consumption was categorized into five groups: never, former, light, moderate, and heavy.

In fully adjusted models, there was no significant main effect of alcohol consumption on cognitive functions. However, there was a significant interaction between alcohol consumption and ApoE ε4 status for GCA and episodic memory, such that the relationship of alcohol consumption and cognition was stronger in ε4 carriers. The ε4+ heavy drinking subgroup had the poorest GCA and episodic memory.

Presence of the ε4 allele may increase vulnerability to the deleterious effects of heavy alcohol consumption. Beneficial effects of light or moderate alcohol consumption were not observed.

To investigate the relative importance of 10 attributes identified in prior studies as essential for effective disaster medical responders and leaders.

Emergency and disaster medical response personnel (N=220) ranked 10 categories of disaster worker attributes in order of their importance in contributing to the effectiveness of disaster responders and leaders.

Attributes of disaster medical leaders and responders were rank ordered, and the rankings differed for leaders and responders. For leaders, problem-solving/decision-making and communication skills were the highest ranked, whereas teamwork/interpersonal skills and calm/cool were the highest ranked for responders.

The 10 previously identified attributes of effective disaster medical responders and leaders include personal characteristics and general skills in addition to knowledge of incident command and disaster medicine. The differences in rank orders of attributes for leaders and responders suggest that when applying these attributes in personnel recruitment, selection, and training, the proper emphasis and priority given to each attribute may vary by role. (Disaster Med Public Health Preparedness. 2019;13:700–703)

To identify key attributes of effective disaster/mass casualty first responders and leaders, thereby informing the ongoing development of a capable disaster health workforce.

We surveyed emergency response practitioners attending a conference session, the EMS State of the Science: A Gathering of Eagles. We used open-ended questions to ask participants to describe key characteristics of successful disaster/mass casualty first responders and leaders.

Of the 140 session attendees, 132 (94%) participated in the survey. All responses were categorized by using a previously developed framework. The most frequently mentioned characteristics were related to incident command/disaster knowledge, teamwork/interpersonal skills, performing one’s role, and cognitive abilities. Other identified characteristics were related to communication skills, adaptability/flexibility, problem solving/decision-making, staying calm and cool under stress, personal character, and overall knowledge.

The survey findings support our prior focus group conclusion that important characteristics of disaster responders and leaders are not limited to the knowledge and skills typically included in disaster training. Further research should examine the extent to which these characteristics are consistently associated with actual effective performance of disaster response personnel and determine how best to incorporate these attributes into competency models, processes, and tools for the development of an effective disaster response workforce. (Disaster Med Public Health Preparedness. 2016;page 1 of 4)