This paper describes the process developed at the University of Pittsburgh to increase the number of NIH-funded Diversity Supplements.

The authors formed a Diversity in Academia Workgroup where we created the infrastructure and process to increase the number of Diversity Supplements. Each year, the Office of Sponsored Programs provided a list of grants that would be eligible to submit a Diversity Supplement. We surveyed the Principal Investigators inquiring about their interest in working with a trainee on a Diversity Supplement. If yes, we included their information in a database we built so that trainees could search for eligible research studies. The Diversity Deans then identified underrepresented faculty and postdoctoral researchers. We invited Program Officers from NIH to participate in a panel presentation for trainees, which was well attended.

The number of Diversity Supplements awarded to Pitt researchers has significantly increased from 7 in 2020 to 10 in 2021 and to 15 in 2022. Six more have been awarded in the first half of 2023.

We created the Diversity in Academia Workgroup with the goal to increase the number of Diversity Supplements at the University of Pittsburgh and in so doing, increase the diversity in the biomedical research workforce. While challenging, we know the critical importance and benefits of increased diversity at the University, and we have made significant strides toward this goal.

Mild decline in independent functioning is a core diagnostic criterion for Mild Cognitive Impairment. Performance-based assessments have been considered the gold standard to identify subtle deficits in functioning. Existing assessments were largely designed using demographically homogenous samples (white, highly educated, middle class) and often assume tasks are performed similarly across populations. The current study aimed to validate the utility of the Performance Assessment of Self-Care Skills (PASS) in determining cognitive status in a sample of predominantly African American, low-income older adults.

Cognition and functional capacity were measured in n=245 older participants (aged 50+ years) who were recruited from a larger community study located in Pittsburgh, PA. Cognitive status was defined by a mean split on the Modified Mini Mental Status Examination (3MS) score (84/100). Participants above the cutoff were classified as unlikely cognitive impairment (UCI) and those below classified as potential cognitive impairment (PCI). Functional capacity was assessed using the number of cues provided on three PASS subtasks: shopping, medication management, and critical information retrieval (higher score = worse functioning). Self-reported cognitive and functional decline was assessed via the Everyday Cognition (ECog) questionnaire (higher score = greater decline). Generalized linear models compared performance scores between groups adjusting for literacy (WRAT3), age, and education. Receiver operating characteristic curve (ROC) analyses were run for select functional performance scores to assess their predictive ability in discriminating between PCI and UCI.

Compared to the UCI group (N = 179), the PCI group (N = 66) was older (68 vs. 65 years, p = 0.05), less educated (11 years vs. 12 years, p < 0.01), had lower WRAT3 z-scores (0.19 vs. -0.55, p < .01), and required more cues on the shopping (4.33 vs. 8.54, p < 0.01) and medication management PASS subtasks (2.74 vs. 6.56, p < .01). Both groups reported elevated levels of subjective cognitive complaints on the ECog (1.46 vs. 1.56, p = .09) and performed similarly on the critical information retrieval PASS subtask (0.25 vs 0.54, p = .06). When discerning between UCI and PCI groups, the PASS Shopping subtask had an optimal cut-off score of 4, sensitivity of 0.86, specificity of 0.47, positive predictive value (PPV) of 0.37, and area under the curve (AUC) of 0.71. PASS Medication Management had an optimal cut-off score of 3, sensitivity of 0.77, specificity of 0.56, PPV of 0.39, and AUC of 0.74.

Subjective functional decline and performance on the critical information retrieval subtask were not associated with cognitive groups. PASS shopping and medication management had moderately high AUCs, suggesting they can reliably distinguish between groups. However, both tasks also exhibited low PPVs, low levels of specificity, and high levels of sensitivity, making them strong “rule-out” tests but poor “rule-in” tests in this sample. Because accurate assessment of functioning is useful for MCI and critical to dementia diagnosis, it is imperative we understand how these tasks function across different populations. Future work should 1) validate measures of functional ability across different populations and 2) develop population-appropriate assessments for use in clinical and research settings.

To study the association between the availability of healthy foods and BMI by neighbourhood race and socio-economic status (SES).

Trained staff collected demographic information, height, weight and 24 h dietary recalls between 2004 and 2008. Healthy food availability was determined in thirty-four census tracts of varying racial and SES composition using the Nutrition Environment Measures Survey–Stores in 2007. Multilevel linear regression was used to estimate associations between healthy food availability and BMI.

Baltimore City, Maryland, USA.

Adults aged 30–64 years (n 2616) who participated in the Healthy Aging in Neighborhoods of Diversity across the Life Span study.

Among individuals living in predominantly white neighbourhoods, high availability of healthy foods was associated with significantly higher BMI compared with individuals living in neighbourhoods with low availability of healthy food after adjustment for demographic variables (β = 3·22, P = 0·001). Associations were attenuated but remained significant after controlling for dietary quality (β = 2·81, P = 0·012).

Contrary to expectations, there was a positive association between the availability of healthy food and higher BMI among individuals living in predominantly white neighbourhoods. This result could be due to individuals in neighbourhoods with low healthy food availability travelling outside their neighbourhood to obtain healthy food.

Few studies have examined recent shifts in meat consumption (MC), differences among US population groups, and the influence of psychosocial–behavioural factors.

Nationally representative data collected for US adults aged ≥18 years in the 1988–1994 and 1999–2004 National Health and Nutrition Examination Survey (NHANES) and the 1994–1996 Continuing Survey of Food Intakes by Individuals (CSFII) and Diet and Health Knowledge Survey (DHKS) were used.

We found a U-shaped trend in MC, a decrease between 1988–1994 and 1994–1996, and an increase from 1994–1996 to 1999–2004. NHANES 1988–1994 and 1999–2004 indicate that MC did not change significantly, particularly for all meat, red meat, poultry and seafood. Between 1994–1996 and 1999–2004, average MC, including red meat, poultry, seafood and other meat products, increased in men. Women’s total MC decreased, mainly due to decreased red meat and other meat products, except for increased seafood. Noticeable differences existed in the changes across population groups. Black men had the largest increase in consumption of total meat, poultry and seafood; Mexican American men had the smallest increase in poultry, seafood and other meat products. In 1999–2004, ethnic differences in MC became greater in women than among women in 1994–1996. Associations between MC and energy intake changed over time. Perceived benefit of dietary quality and food label use were associated with reduced red MC.

Noticeable differences exist in the shifts in MC across population groups and surveys. MC increased in men but decreased in women in recent years.