The stakes of this research are far from academic. ALM is an aggressive melanoma subtype that does not follow the usual rules of skin cancer. While most melanomas are driven by ultraviolet exposure and occur more frequently in people with fair skin, ALM develops on the palms of the hands, the soles of the feet, and underneath the nails—places that rarely see the sun. Its incidence is rising among Hispanic/Latino populations, and African Americans face the highest mortality rate of any group. Because ALM lesions do not display the classic features captured by the widely taught ABCDE method—Asymmetry, Border irregularity, Color variation, Diameter greater than six millimeters, and Evolving over time—the standard prevention campaigns built around sun safety and mole checking simply do not apply.

The consequences of this knowledge gap are measurable and severe. People of color are twice as likely to be diagnosed with melanoma at stage IV and 1.4 times more likely to be diagnosed at stage III compared with their White non-Hispanic counterparts, according to prior studies cited by the research team. Delayed diagnosis translates directly into greater morbidity and mortality. Part of the problem is that both patients and physicians struggle to recognize ALM’s warning signs, and ethnic minority patients report that their primary care providers rarely discuss melanoma during wellness visits. Compounding all of this, there is a sheer absence of quality, representative patient education materials aimed at ethnic populations; most materials in the public domain feature non-Hispanic White models, showing ALM lesions on lighter skin.

That absence of representation is not a neutral oversight, the researchers argue. When every educational image shows a dark lesion on pale skin, it can indirectly communicate that people with darker skin tones are not vulnerable to the disease—a long-standing and harmful belief. The problem is especially acute because older adults and ethnic populations, who face higher ALM incidence, often have lower health literacy, and visuals are known to be one of the most effective ways to educate people with lower literacy and numeracy. Illustrations can carry information that dense text cannot, making them a critical tool in communities that are medically underserved.

To test whether targeted visuals could close this gap, the team built on an earlier study in which they had commissioned a professional designer, using a crowdsourced design marketplace, to create ALM education materials featuring darker-skinned models. That first study found that participants with darker skin tones showed greater knowledge gains when viewing materials with darker-skinned models, and that the effect flowed through message memorability—when people found the materials memorable, their knowledge increased. For the new study, the same designer refined and expanded the illustrations, creating three versions calibrated to the Fitzpatrick skin type scale, the standard dermatological classification that sorts skin into six types based on color and reaction to ultraviolet light. White materials depicted skin types I and II, light brown materials types III and IV, and dark brown materials types V and VI.

The experiment enrolled 313 participants, roughly half Hispanic/Latino and half African American, with an average age of 46.2 years. About half were male, half had a high school education or less, and slightly more than half reported household incomes below $49,000. Recruited through a Qualtrics panel, participants were randomly assigned to view one of the three education material versions and then completed an immediate post-test. Knowledge was assessed with a fourteen-item composite scale combining nine text-based questions with five visual identification tasks in which participants had to pick which of five images could depict ALM. Memorability was measured with a validated seven-point semantic differential scale asking whether the material would stick in the head, was memorable, would be thought about again, and was unforgettable.

The statistical analysis, using factorial ANOVAs and a moderated mediation model with 5,000 bootstrap samples, uncovered an interaction that neither simple demographic targeting nor a one-size-fits-all approach would have predicted. Hispanic/Latino participants perceived the dark brown materials as more memorable than the white ones, and the light brown materials as more memorable than the white ones as well; correspondingly, their knowledge scores were significantly higher after viewing either the light brown or dark brown versions compared with the white version. African American participants showed a different profile: they rated the dark brown and white materials as more memorable than the light brown version, and their knowledge scores were higher with dark brown and white materials than with light brown ones. In other words, the light brown materials—perhaps the intuitive middle-ground choice for reaching both communities—were actually the weakest option for African American participants.

The mediation analysis added a crucial theoretical layer. For Hispanic/Latino participants, exposure to the dark brown materials compared with white ones had a significant indirect effect on ALM knowledge through memorability, and the index of moderated mediation confirmed that race/ethnicity significantly moderated this indirect pathway. Memorability once again emerged as the key mechanism of effect, consistent with the theory of memorable messages, which holds that messages remembered over long periods can reshape attitudes, beliefs, and behaviors. The researchers frame their materials as disrupting messages—interventions that correct unproductive prior messaging, in this case the entrenched belief among people of color that skin cancer is not their problem. Rather than recalling information word for word, people retain the essence of memorable messages and reinterpret it across their lives, which makes memorability a powerful lever for health communication aimed at marginalized communities.

Some findings defied easy explanation, and the authors are candid about that. It was unexpected that African American participants did not respond better to light brown models than to white ones. One possibility is that African American audiences are accustomed to seeing white-skinned models in health and advertising materials and have learned to extrapolate that the information applies to them too. Another is that ALM lesions may be visually more distinct against lighter skin because of contrast. A third, more socially complex explanation involves colorism—the documented discourse around skin tone differences within African American communities—which may trigger stronger identification with dark brown models. Meanwhile, Hispanic/Latino participants were less influenced by white models despite some of them having fair skin types themselves, suggesting that identification operates through cultural and ethnic channels rather than skin tone alone. The authors note that, absent a manipulation check confirming participants perceived the models’ skin tones as intended, they cannot rule out that the conditions differed in perceived representation in unanticipated ways.

The practical implications are concrete. Patient education materials designed for Hispanic/Latino audiences should depict models with either light brown or dark brown skin, while materials for African American audiences should feature dark brown or white models. Beyond that, the study charts a methodological path forward: qualitative interviews to understand how people construct meaning from these visuals, paired with psychophysiological measures such as eye tracking, physiological arousal, and facial expression analysis to verify that participants actually attend to and process model skin tone. The authors also acknowledge limitations—no behavioral outcomes were measured, the mediation analysis relied on cross-sectional data, three skin tone categories cannot represent every shade, and the visual knowledge questions used wording that may have introduced ambiguity. Still, the core message stands: in the fight against a melanoma that hides on palms, soles, and nailbeds, who appears in the picture can determine whether the warning is remembered at all.

Subject of Research: Targeted visual health communication for acral lentiginous melanoma awareness among Hispanic/Latino and African American populations

Article Title: The effectiveness of targeted visuals: Improving awareness of acral lentiginous melanoma among Hispanic and African American participants

Article References: Pokharel, M., John, K. K., Liao, Y., Wu, Y. P., & Jensen, J. D. (2026). The effectiveness of targeted visuals: Improving awareness of acral lentiginous melanoma among Hispanic and African American participants. Journal of Behavioral Medicine. https://doi.org/10.1007/s10865-026-00716-9

Image Credits: AI Generated

DOI: 10.1007/s10865-026-00716-9

Keywords: acral lentiginous melanoma, patient education materials, skin tone, Hispanic/Latino health, African American health, memorable messages, demographic targeting, health communication, skin cancer disparities, visual knowledge, melanoma awareness, Fitzpatrick skin type scale

Cerebral small vessel disease sits at the center of the story. It is the chronic, cumulative damage to the brain’s tiniest blood vessels, and it is a leading contributor to stroke and cognitive decline in older adults. On magnetic resonance imaging, the disease announces itself in two complementary ways. The first is the white matter hyperintensity, or WMH: bright patches that appear on certain MRI sequences where tissue has been damaged by chronic ischemia, blood-brain barrier leakage, and gliosis. The second is subtler and requires diffusion-weighted imaging, which tracks the random motion of water molecules through tissue. In healthy white matter, water diffuses preferentially along the direction of nerve fiber bundles, a property quantified as fractional anisotropy, or FA. When the microstructure of those bundles breaks down, FA falls. A companion measure, free water, estimates the fraction of the signal that comes from unconstrained extracellular fluid, and it rises when inflammation, atrophy, or vascular injury opens up space around the fibers.

The research team, led by Elmira Agah, Charles DeCarli, and Pauline Maillard of the University of California, Davis, together with collaborators across multiple field centers, applied these measures to 1,619 cognitively normal participants, most of them older adults, imaged on standardized 3-Tesla MRI protocols. Restricting the sample to people without cognitive impairment was a deliberate choice: it allows the earliest structural signatures of vascular brain injury to be detected before symptoms emerge, when interventions such as blood pressure control might still alter the trajectory. The participants represented the remarkable heterogeneity of the US Hispanic/Latino population, with heritage groups including Mexican, Cuban, Puerto Rican, Dominican, and Central or South American backgrounds.

The statistical approach was straightforward but rigorous. Linear regression models tested whether each vascular risk factor, namely hypertension, diabetes, total cholesterol of 200 mg/dL or higher, and ever-smoking, was associated with the white matter measures, with adjustments for age, sex, education, and field center. The team then asked whether heritage itself predicted white matter outcomes and, critically, whether the effects of vascular risk factors differed across heritage groups. Multiple comparisons were controlled using false discovery rate methods, a standard safeguard against spurious findings when many tracts and measures are tested simultaneously.

The results on vascular risk were unambiguous. Hypertension was associated with higher free water and greater white matter hyperintensity burden, both statistically robust at p < 0.001, and diabetes showed the same pattern, additionally linked to reduced fractional anisotropy. In other words, both conditions were tied to more visible tissue damage and to microscopic disruption of the fiber bundles themselves. Elevated cholesterol and ever-smoking showed weaker or more conditional associations. These results align with a large body of work, including analyses from the UK Biobank and the Atherosclerosis Risk in Communities study, showing that midlife and late-life vascular risk leaves durable marks on the brain’s structural connectivity. They also reinforce the clinical message that blood pressure and glycemic control are, in effect, brain protection strategies.

The heritage findings are what elevate the study beyond a confirmation of known biology. Compared with Mexican participants, Cuban participants showed significantly higher levels of both free water and white matter hyperintensities, and Puerto Rican participants showed higher WMH burden, after full adjustment for vascular risk factors and demographics. Tract-level analyses, which examined individual fiber pathways such as those connecting distant cortical regions, mirrored the overall pattern, with more impaired measures among Cuban and Puerto Rican participants. Because the models adjusted for the measured risk factors, the differences cannot be explained simply by higher rates of hypertension or diabetes in those groups, although the burden of such factors is known from prior HCHS/SOL work to vary considerably across heritage backgrounds.

There was one notable exception to the pattern of uniform risk effects: smoking. The interaction analysis revealed that smoking was associated with higher free water and lower fractional anisotropy among Cuban and Puerto Rican participants, and with lower FA among Central and South American participants, relative to Mexican participants. This suggests that the same exposure may translate into different degrees of brain injury depending on genetic ancestry, environmental context, dietary patterns, acculturation, or other unmeasured variables that cluster within heritage groups. Disentangling those possibilities is now a central question for follow-up research.

The implications reach well beyond epidemiology. Hispanic/Latino adults experience a high burden of vascular risk factors, and prior studies have documented disparities in hypertension awareness, treatment, and control within this population. Because white matter hyperintensities and microstructural damage predict incident stroke, mild cognitive impairment, dementia, and mortality in longitudinal cohorts, the white matter measures used here function as early warning indicators. If heritage-specific vulnerabilities exist, then prevention programs calibrated for one subgroup may not serve another equally well, and clinical trials of vascular risk reduction in diverse Latino populations should be powered and stratified accordingly. The authors also point toward broader social determinants, including the documented pathways linking racism, xenophobia, discrimination, and structural inequity to cardiometabolic outcomes, as candidate explanations that deserve systematic investigation rather than casual attribution to genetics alone.

Technically, the study showcases how far neuroimaging biomarkers have matured. Free water imaging, originally developed to separate extracellular fluid contamination from true tissue diffusion signal, has proven sensitive to early-stage small vessel disease, detecting alterations in tissue surrounding visible hyperintensities before those regions brighten on conventional scans. Atlas-guided tract reconstruction allowed the team to examine specific white matter pathways comprehensively and automatically, and convolutional neural network segmentation tools now make production-level brain parcellation feasible across large cohorts. Combining these tools with a population-based, multi-heritage cohort design is what gives the study its distinctive power.

The authors are careful about what the data cannot say. This was a cross-sectional analysis, so it captures associations at a single point in time rather than the evolution of white matter injury over years. Residual confounding is possible, and the observed heritage differences, while statistically significant, warrant replication and mechanistic follow-up. Yet the central conclusion stands firmly: white matter integrity differs meaningfully across Hispanic/Latino heritage groups even among cognitively normal older adults with comparable measured risk profiles, and treating this population as a monolith obscures real variation in brain aging. As the demographic weight of the US Latino population grows, studies like SOL-INCA make the case that precision in both research and medicine must extend to heritage, not merely to broad ethnic categories.

Subject of Research: Vascular risk factors and white matter integrity in older Hispanic/Latino adults

Article Title: Association between vascular risk factors and white matter integrity among diverse predominantly older Hispanic/Latino adults from the SOL-INCA MRI study

Article References: Agah, E., Testai, F. D., Daviglus, M., Zhou, H., Isasi, C. R., Gallo, L. C., Talavera, G. A., Agudelo, C., Cordero, C., Sotres-Alvarez, D., Tarraf, W., Gonzalez, H., DeCarli, C., & Maillard, P. (2026). Association between vascular risk factors and white matter integrity among diverse predominantly older Hispanic/Latino adults from the SOL-INCA MRI study. GeroScience. https://doi.org/10.1007/s11357-026-02503-5

Image Credits: AI Generated

DOI: 10.1007/s11357-026-02503-5

Keywords: white matter integrity, cerebral small vessel disease, hypertension, diabetes, Hispanic/Latino health, SOL-INCA, MRI, free water imaging, fractional anisotropy, white matter hyperintensities, brain aging, health disparities