Researchers at Washington University in St. Louis, led by Kimberly J. Johnson, drew on the Behavioral Risk Factor Surveillance System, or BRFSS, a giant telephone survey run by the U.S. Centers for Disease Control and Prevention that collects health information from more than 400,000 residents each year across all fifty states, the District of Columbia, and U.S. territories. For their trend analysis, the team pooled data from 2016 through 2024, encompassing 3,968,799 respondents after imputation of missing values. For a finer-grained comparison of drinking prevalence by cancer type, they used the most recent 2022 to 2024 data from the 38 states and territories that included an optional cancer survivorship module, yielding 465,870 respondents. Because BRFSS uses complex, stratified sampling, the analysts applied survey weights and multiple imputation, then pooled estimates using established statistical rules to produce nationally representative figures.

The survey questions distinguished three patterns of consumption. Current drinking was defined as having had at least one alcoholic drink in the past 30 days. Binge drinking meant four or more drinks on a single occasion for women, or five or more for men, while heavy drinking was classified as more than seven drinks per week for women and more than fourteen for men. Cancer history came from a question asking whether a respondent had ever been told by a doctor that they had cancer, and a follow-up item identified the specific cancer type. The researchers classified head and neck, esophageal, liver, breast, and colorectal cancers as alcohol-related, following the National Cancer Institute’s categorization.

The headline finding is a story of divergence, albeit a subtle one. Among adults without a cancer history, the prevalence of current drinking declined significantly, from 53.9 percent in 2016 to 51.5 percent in 2024, an average drop of 0.28 percentage points per year. Binge drinking in this group also fell, by about 0.20 percentage points annually. Among people with a cancer history, however, current drinking was essentially flat, hovering at 45.8 percent in both 2016 and 2024, with a statistically non-significant upward drift of 0.06 percentage points per year. Binge and heavy drinking trends in survivors were similarly unremarkable. In other words, whatever forces are nudging the general population toward slightly less drinking, they do not appear to be operating among cancer survivors, who started from a lower baseline and stayed there.

That baseline gap persisted after statistical adjustment. Compared with adults never diagnosed with cancer, those with a cancer history had an adjusted prevalence of current drinking 1.01 percentage points lower and binge drinking 1.16 percentage points lower, while heavy drinking showed no significant difference. People who had survived an alcohol-related cancer, such as breast or colorectal cancer, reported current drinking at a prevalence 2.17 percentage points lower than the cancer-free population, though their binge and heavy drinking rates were not significantly different. The direction of these differences held even when the analysis was restricted to adults aged 55 and older, although the estimates were attenuated and generally lost statistical significance.

The cancer-type breakdown produced some of the study’s most intriguing results. Current drinking prevalence was significantly higher than expected among survivors of testicular cancer, melanoma, and other skin cancers, while most other cancer types showed lower prevalences, with prostate and throat or pharyngeal cancers non-significantly elevated. The most common cancer types in the dataset were breast, non-melanoma skin cancer, melanoma, and prostate cancer. Because small cell sizes limited stable estimation for binge and heavy drinking within individual cancer types, the type-specific models focused on current drinking, with sex-specific restrictions applied for reproductive cancers.

One of the most revealing analyses came from a simple sensitivity check. Because some patients reduce or stop drinking during cancer treatment, the researchers repeated their prevalence difference models excluding respondents who reported currently being in treatment. The result was striking: most of the negative prevalence differences, where survivors drank less than the cancer-free population, shifted toward zero, while some of the positive differences moved further from the null. The authors interpret this as suggesting that many individuals resume alcohol consumption once treatment ends, meaning that the apparent protective gap between survivors and others may partly reflect temporary abstinence during therapy rather than a durable lifestyle change. The cross-sectional nature of the survey data, however, prevents any conclusion that a cancer diagnosis itself causes changes in drinking behavior.

The findings arrive against a backdrop of intensifying public debate about alcohol and cancer. The scientific consensus has hardened over the past decade, with meta-analyses confirming dose-response relationships and population attributable fractions estimated at 4.4 percent for female breast cancer and as high as 31.6 percent for esophageal cancer. In 2025, the U.S. Surgeon General called for cancer warning labels on alcoholic beverages, echoing advocacy from consumer and public health groups dating back to 2019. The American Cancer Society now states flatly that it is best not to drink alcohol, and the U.S. Preventive Services Task Force recommends that adults be screened for unhealthy alcohol use. Google Trends data show a steady rise in searches connecting alcohol and cancer risk since 2004. Yet awareness remains startlingly low: in a 2024 survey, only 39.4 percent of U.S. adults knew that alcohol increases cancer risk, and earlier data suggested more than half were unaware that wine, beer, or liquor carries any such risk.

Against this context, the stability of drinking among survivors is particularly consequential. Alcohol consumption may raise the risk of second primary cancers in survivors, making continued drinking a clinically meaningful concern rather than a matter of taste alone. Prior research offers mixed signals about whether diagnosis changes behavior. A Canadian study of more than 500 survivors found that among 299 patients who drank at diagnosis, 52 percent reported reduced or no consumption one year later. A study of 973 head and neck cancer patients recorded a decline in drinking from 54.3 percent to 41.2 percent within a year of diagnosis. But a German study of 300 survivors found that 70 percent continued to drink six months after diagnosis. The new BRFSS analysis suggests that, at the population level, any such reductions are modest and may fade once treatment concludes.

The study also highlights a persistent gap in clinical practice. Although alcohol screening is recommended in oncology and primary care settings, previous research indicates that heavy drinkers with a cancer history are not consistently counseled to cut back; one study found that only 15 percent of cancer survivors consuming three or more drinks per day were advised by a provider to reduce their intake. The authors note that their results provide a contemporary baseline against which future changes can be measured, as dietary guidance and the alcohol environment evolve. They also acknowledge limitations: cancer history and alcohol use were self-reported and subject to recall and social desirability bias, some states lacked data in certain years, and small samples for some cancer types reduced precision. Survivors aware of alcohol’s risks may also under-report their drinking, potentially widening the apparent gap. Still, with nearly four million respondents, weighted analyses, and careful handling of missing data, the study stands as a sobering snapshot: as national conversation about alcohol and cancer grows louder, the drinking habits of American cancer survivors have barely moved at all.

Subject of Research: Alcohol consumption patterns and trends among U.S. adults with and without a cancer history

Article Title: Prevalence and trends in recent alcohol consumption by cancer history and cancer type in a nationally representative sample of U.S. adults

Article References: Johnson, K. J., Eyler, A. A., & Harris, J. K. (2026). Prevalence and trends in recent alcohol consumption by cancer history and cancer type in a nationally representative sample of U.S. adults. Cancer Causes & Control, 37(10), Article 167. https://doi.org/10.1007/s10552-026-02248-8

Image Credits: AI Generated

DOI: 10.1007/s10552-026-02248-8

Keywords: alcohol consumption, cancer survivors, cancer risk, BRFSS, binge drinking, heavy drinking, cancer epidemiology, public health, surgeon general, health behavior, national survey, alcohol-related cancers

Cultural racism is a concept that has long eluded precise measurement. Unlike interpersonal discrimination, which individuals can report directly, cultural racism refers to the underlying ideologies, values, images and narratives that normalize racial hierarchy: derogatory media portrayals, exclusionary cultural norms, and the everyday symbols and assumptions that render inequality seemingly natural. Researchers have argued that this cultural layer is the soil in which structural and individual racism grow, yet its health consequences have remained understudied because of the difficulty of quantifying it. The new research, led by Oyomoare L. Osazuwa-Peters of Duke University School of Medicine together with colleagues including Nancy Krieger of Harvard T.H. Chan School of Public Health and Tyson Brown of Duke University, set out to close that gap with an empirically derived measure spanning all fifty states and the District of Columbia.

To construct the exposure, the team distilled seven state-level indicators into a single composite score they call the cultural racism factor. Drawing on prior theoretical work, the indicators captured multiple dimensions of the construct, including anti-Black sentiment in attitudes, disparate representation in positions of influence and media, and resource-related dimensions reflecting how cultural priorities are encoded in state-level conditions such as income inequality measured by the Gini coefficient, poverty rates, and population characteristics derived from US Census and American Community Survey data. The factor was validated using established psychometric techniques, including confirmatory factor analysis and reliability estimation, to ensure that the composite genuinely reflected a shared underlying dimension rather than a statistical artifact. The resulting measure and its indicator values have been made publicly available through Zenodo, allowing other researchers to scrutinize and reuse the instrument.

The outcome data came from an extraordinary source: the Behavioral Risk Factor Surveillance System, the Centers for Disease Control and Prevention’s massive annual telephone survey, covering the years 2018 through 2021. After linking each respondent to the cultural racism score of their state of residence, the analytical sample comprised 1,292,787 adults, weighted to be 52.2 percent women. Within this population, 19.5 percent reported a history of depression, and respondents averaged 4.3 days of poor mental health per month. Because the survey spans the onset of the COVID-19 pandemic, the study window also captures a period of documented deterioration in American mental health, which the authors contextualized against prior evidence of rising psychological distress between 1993 and 2020.

The statistical strategy was designed for rigor in the face of complex survey data. The researchers used modified Poisson regression, an approach well suited to estimating relative risks for binary outcomes such as depression history, along with models for the count of poor mental health days. Models adjusted for a battery of individual and state-level confounders, including age, sex, race and ethnicity, income, and other state characteristics, to reduce the likelihood that the association simply reflects broader regional differences in wealth, urbanicity, or health care access. Analyses followed established guidelines for reporting observational studies, and the authors pre-specified stratified analyses to examine whether associations varied across racial and ethnic groups, age strata, and sex.

The headline result is deceptively simple in its expression but profound in its implications. Each one standard deviation increase in the state-level cultural racism factor was associated with a 3 percent higher relative risk of reporting a history of depression overall, and a 3 percent increase in the number of poor mental health days. Three percent may sound modest, but applied across an entire population and a full standard deviation of variation in cultural racism between states, it translates into a substantial population burden, particularly given that tens of millions of adults experience depression and psychological distress each year.

The stratified results revealed far starker disparities. Among Native Hawaiian and Pacific Islander respondents, each standard deviation increase in cultural racism was associated with up to a 25 percent higher risk of depression, the largest effect observed for any group. Among Hispanic respondents, the association with poor mental health days reached as high as 14 percent per standard deviation. Associations were consistently strongest among racial minority groups, the populations most directly targeted by the ideologies and systems the factor is designed to capture, and among adults under 65 years of age. Notably, the associations did not differ significantly between men and women, suggesting that the corrosive influence of cultural racism on mental health operates across gender lines rather than being concentrated in one.

These findings align with a growing body of research on racism and health. Prior studies have linked police killings of Black Americans to spillover effects on the mental health of Black communities, shown that perceived discrimination is associated with worse psychiatric outcomes in meta-analyses, and demonstrated that structural racism, expressed through historic redlining and contemporary lending patterns, leaves measurable imprints on population health. A related 2025 study by several of the same investigators showed that a latent measure of cultural racism was associated with US mortality and life expectancy, extending the health consequences of cultural racism beyond mental health into physical health and survival. The new work complements this literature by demonstrating that the cultural dimension of racism is not merely a backdrop for more tangible forms of discrimination but carries its own detectable psychological toll.

The biological and social pathways plausibly connecting cultural racism to depression are multifaceted. Chronic exposure to devaluing cultural messages can function as a persistent psychosocial stressor, activating physiological stress responses, eroding self-concept, and fostering vigilance and alienation. Stereotype threat research has shown that merely confronting negative cultural portrayals can impair cognition and decision making, while studies of media representation demonstrate lasting effects on identity and wellbeing, particularly among young people from marginalized groups. Cultural racism may also operate indirectly by legitimizing inequitable policies, shaping where resources flow, and normalizing the social conditions, such as poverty, segregation, and reduced access to care, that are themselves robust predictors of mental illness.

The authors are careful to note that their observational design cannot prove causation, and that residual confounding by unmeasured state or individual characteristics remains possible. Self-reported depression history and mental health days, while validated and widely used, are imperfect measures. Yet the sheer scale of the sample, the psychometric grounding of the exposure measure, the consistency of associations across outcomes and subgroups, and the coherence with prior evidence collectively strengthen the case that cultural racism is a genuine determinant of mental health. The study’s data, drawn from publicly available CDC survey files and open repository sources, invite replication and extension by independent teams.

The implications reach well beyond academic debate. If the cultural climate of a state measurably shapes the psychological health of its residents, then interventions aimed solely at individual-level care are addressing symptoms rather than causes. The findings underscore, in the authors’ words, the need for further research and policy action: policies that address media representation, educational narratives, income inequality, and the cultural norms that sustain racial hierarchy may be mental health interventions in their own right. As the United States continues to grapple with rising rates of depression and psychological distress, this research adds a sobering dimension to the national conversation, suggesting that the stories a society tells about race, and the systems those stories sustain, are written not only into institutions but into the minds of the millions of people who live within them.

Subject of Research: Association of state-level cultural racism with depression and poor mental health days among US adults, 2018–2021

Article Title: Association of cultural racism with mental health outcomes among US adults during 2018–2021

Article References: Osazuwa-Peters, O. L., Wilkerson, J., Gupta, A., Wilson, L. E., Krieger, N., Brown, T., & Akinyemiju, T. (2026). Association of cultural racism with mental health outcomes among US adults during 2018–2021. Nature Mental Health. https://doi.org/10.1038/s44220-026-00728-z

Image Credits: AI Generated

DOI: 10.1038/s44220-026-00728-z

Keywords: cultural racism, mental health, depression, BRFSS, health disparities, structural racism, psychological distress, population health, racial inequities, public health, Association, cultural

The research team, led by Areesh Mevawalla and Timothy M. Pawlik of The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, drew on the 2022 Behavioral Risk Factor Surveillance System, an annual, state-based telephone survey administered by the Centers for Disease Control and Prevention. Because the Caregiver Module was administered in Georgia, Louisiana, Mississippi, New Hampshire, Ohio, Oregon, Pennsylvania, Utah, Virginia, Washington, Wisconsin, and Puerto Rico, the analysis was restricted to those jurisdictions, with CDC-provided sampling weights, strata, and primary sampling units used to generate population-representative estimates. Of the 10,923 caregivers in the analytic cohort, 1,483, or 13.6 percent, were caring for someone whose main health problem was cancer.

The outcome of interest was frequent mental distress, defined using established BRFSS methodology as fourteen or more days in the past thirty during which stress, depression, or emotional problems made mental health not good. The investigators focused on four modifiable protective factors, each selected a priori for its established relevance to psychological distress: sufficient sleep, defined as at least seven hours per night; regular physical activity outside of job duties in the past thirty days; non-smoking status; and adequate emotional support, meaning support was usually or always available. By summing these binary indicators, the team constructed a Cumulative Protective Factor Score ranging from zero to four, allowing them to test a central theoretical premise drawn from the Stress-Buffering Hypothesis, the idea that layered psychosocial and behavioral resources can blunt the corrosive mental health effects of sustained stress.

The demographic portrait of cancer caregivers differed in subtle but meaningful ways from their non-cancer counterparts. Cancer caregivers were slightly older, with a median age of fifty-nine years, and more likely to be female, at 64.3 percent versus 61.4 percent. Their caregiving was typically shorter in duration, with cancer caregivers more likely to have been providing care for one to six months or six months to under two years, whereas non-cancer caregivers more commonly reported commitments of five years or longer, reflecting the episodic but intensive nature of cancer treatment trajectories. Cancer caregivers were also more likely to be caring for a spouse or partner or a non-relative friend, while non-cancer caregivers more frequently cared for children or grandchildren.

Across every protective factor measured, cancer caregivers fared worse. They were less likely to report sufficient sleep, at 60.1 percent versus 64.5 percent; regular physical activity, at 75.8 percent versus 79.5 percent; non-smoking status, at 84.6 percent versus 89.4 percent; and adequate emotional support, at 71.9 percent versus 78.8 percent, with all differences statistically significant. Only 40.3 percent of cancer caregivers reported all four protective factors, compared with 42.2 percent of non-cancer caregivers. This pattern of depleted reserves coincided with the elevated distress: cancer caregiver status was independently associated with higher odds of frequent mental distress in survey-weighted multivariable logistic regression, with an odds ratio of 2.18.

Each individual protective factor was associated with lower odds of frequent mental distress in the full cohort. Sufficient sleep was linked to roughly a 53 percent reduction in odds, regular physical activity to a 29 percent reduction, adequate emotional support to a 65 percent reduction, and non-smoking status to a 37 percent reduction, all highly significant. However, interaction analyses revealed an important nuance: the protective associations of sleep, physical activity, and emotional support were significantly attenuated among cancer caregivers, with interaction odds ratios ranging from 0.69 to 0.76. In other words, the same behaviors appear to confer somewhat less protection in the context of cancer caregiving, perhaps because the intensity of the caregiving stressor overwhelms single resources acting alone.

The cumulative picture was far more encouraging. Using marginal standardization to estimate fully adjusted predicted probabilities, the researchers found a graded, inverse relationship between the protective factor score and frequent mental distress in both groups. Among caregivers with no protective factors, the predicted probability of distress reached 0.76 for cancer caregivers versus 0.59 for non-cancer caregivers, a substantial and statistically significant gap. That gap narrowed steadily across scores of one, two, and three. At the maximum score of four, predicted distress fell to just 10 percent among cancer caregivers and 7 percent among non-cancer caregivers, a difference that was no longer statistically significant. The co-occurrence of all four health-promoting behaviors and support resources appeared sufficient to offset the heightened psychological burden of cancer caregiving almost entirely.

The findings also exposed a persistent sex disparity that no amount of protective accumulation fully resolved. Female cancer caregivers had 40 percent higher odds of frequent mental distress than males, and predicted probabilities were higher for women at every level of the cumulative score. With no protective factors, the predicted probability of distress was 0.85 for women versus 0.68 for men; even at the maximum score of four, women faced a predicted probability of 0.17 compared with 0.08 for men, both differences highly significant. The authors point to a substantial literature suggesting that women disproportionately assume primary caregiving roles, provide more intensive and complex care, and carry additional cognitive-emotional labor, including coordinating treatment, managing family stress, and supplying emotional support to others. Prior research has found that women caring for an ill spouse were nearly six times more likely to experience depressive or anxious symptoms than non-caregiving women, while the authors caution that lower observed distress among men may reflect under-recognition and reluctance to seek support rather than genuine resilience.

The study has limitations worth noting. Its cross-sectional design precludes causal inference, leaving open the question of whether depleted health behaviors precede distress or follow from it, and all measures were self-reported, introducing potential recall and reporting bias. BRFSS also does not capture primary caregiver status, task complexity, cancer stage, or treatment phase, so some differences in distress may reflect variation in illness course. Even so, the surveillance system remains a well-validated, nationally representative instrument for population-level behavioral research, and the consistency of the graded dose-response pattern strengthens the plausibility of the cumulative buffering effect.

The implications reach well beyond individual self-care advice. The authors argue that cancer centers should routinely screen for caregiver distress as part of patient management, and they point to legislative momentum from the RAISE Family Caregivers Act and the CARE Act, which mandate expanding support services and formally assessing caregiver needs within hospital care. Evidence-backed measures such as subsidized respite care, affordable counseling, and caregiver-inclusive clinic visits have been shown to reduce burden, particularly among high-risk groups. Because women remain at elevated risk even under the most favorable behavioral profiles, and because men’s needs may go unrecognized, the researchers call for sex-responsive, caregiver-centered support models rather than one-size-fits-all programs. As the population of U.S. informal caregivers has grown from roughly 43.5 million in 2015 to nearly 53 million in 2020, the study suggests that a coordinated, multilevel response, spanning sleep promotion, physical activity, smoking cessation, emotional support, and structural policy reform, is essential to protect the mental health of those who sustain cancer care at home.

Subject of Research: Health behaviors, mental distress, and sex disparities among U.S. cancer caregivers

Article Title: Buffering the burden: health behaviors, mental distress, and sex disparities in U.S. cancer caregivers

Article References: Mevawalla, A., Sarfraz, A., Alizai, Q., Angez, M., Bega, R., Chaudhry, M. Q., Ashraf, A., Elemosho, A., Chatzipanagiotou, O. P., & Pawlik, T. M. (2026). Buffering the burden: health behaviors, mental distress, and sex disparities in U.S. cancer caregivers. Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-026-02120-3

Image Credits: AI Generated

DOI: 10.1007/s11764-026-02120-3

Keywords: cancer caregivers, frequent mental distress, health behaviors, BRFSS, sleep, physical activity, emotional support, smoking, sex disparities, caregiver burden, stress-buffering hypothesis, cancer survivorship