Complementary and Alternative Medicines/Therapies (CAM) are commonly used by US asthma adults, yet little is known about recent trends in their use. Our aim was to report trends in CAM use among US adults with current asthma. We conducted a serial cross-sectional study using nationally representative data from the BRFSS Asthma Call-Back Survey (ACBS) collected between 2008 and 2019 (sample size per cycle, 8222 to 14,227). The exposure was calendar time, as represented by ACBS cycle, while the main outcomes were use of at least one CAM and eleven alternative therapies. We analyzed CAM use overall and by population subgroups based on age, gender, race/ethnicity, income, and daytime and night-time asthma symptoms. Our findings show that there was an increase in the use of at least one CAM from 41.3% in 2008 to 47.9% in 2019 (p-trend < 0.001) and an upward trend in the use of herbs, aromatherapy, yoga, breathing exercises, homeopathy, and naturopathy (p-trend < 0.05). However, the use of vitamins, acupuncture, acupressure, reflexology, and other CAM therapies remained stable (p-trend > 0.05). These trends varied according to population characteristics (age, sex, race, income) and asthma symptoms. In conclusion, our study suggests that CAM use among US adults with current asthma is either increasing or stable, and further studies are needed to explore the factors influencing these trends.

This article examined the sociodemographic and health-related factors associated with the use of complementary and alternative medicine/therapy (CAM) among adults with current asthma in the United States. We used data from 76,802 adults aged 18 years and above from the 2012–2019 Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-back Survey (ACBS) cycles. Weighted binary and multinomial logistic regression was used to examine the association of these factors with ever CAM use and the number of CAM use. We found that approximately 45.2% of US adults with asthma ever used CAM. Among adults with asthma, 25.3% and 19.9% endorsed using one CAM and ≥2 CAMs, respectively. CAM use was significantly associated with adults ≤ 35 years, female gender, multiple/other race/ethnicity, higher cost barriers, adults with two or more disease comorbidities, and those with poorly controlled asthma in both binary and multinomial models. CAM use was not associated with insurance and income status. Understanding factors associated with CAM use can provide asthma care professionals valuable insights into the underlying drivers of CAM use behavior in this population, enabling them to offer more informed and effective medical advice and guidance.

Food insecurity (FI) remains a key priority for sustainable development. Despite the well-known consequences of food insecurity on health and well-being, evidence regarding the burden and determinants of FI among pregnant women in Nigeria is limited. Framed by the social-ecological model, this study aimed to determine the prevalence of FI, and its associations with individual-/household-level and contextual-level factors among pregnant women in Nigeria. A cross-sectional study based on the Nigerian Multiple Indicator Cluster Survey (2021 Nigerian MICS6) was conducted among a sample of 3519 pregnant women aged 15–49 years. Several weighted multilevel multinomial logistic regression models were fitted to assess the association between individual-/household-s level and community-level characteristics with FI. We estimated and reported both fixed effects and random effects to measure the associations and variations, respectively. Results: The prevalence of FI among pregnant women in Nigeria was high, with nearly 75% of the participants reporting moderate to severe FI in the past 12 months (95% CI = 71.3%-75.8%) in 2021. There were also significant differences in all the experiences of food insecurity due to lack of money or resources, as measured by the Food Insecurity Experience Scale (FIES), except for feeling hungry but not eating because of lack of money or resources (p < 0.0001). Multivariate analysis revealed that higher parity, households with 5 or more members, household wealth index, urban residence, and community-level poverty were significantly associated with FI. Our study demonstrates a significantly high prevalence of FI among pregnant women in Nigeria in 2021. Given the negative consequences of FI on maternal and child health, implementing interventions to address FI during pregnancy remains critical to improving pregnancy outcomes.

To explore the association between depression, poor mental health status, and asthma control patterns among US adults using a latent class analysis (LCA) approach. We used data from 10,337 adults aged 18 years and above from the 2016 Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-back Survey. Data-reductive LCA was used to derive asthma control patterns in the population using class variables indicative of asthma control. Besides univariate analysis, adjusted and unadjusted logistic regression models were used to examine the association of depression and poor mental health on the derived asthma control patterns. About 27.8% of adults aged <55 reported depression, while 27.3% aged ≥55 years were depressed. The latent class prevalence of asthma control patterns was 42.8%, 31.1%, and 26.1%, corresponding to good, fair, and poor asthma control patterns, respectively. In adults aged <55 years, odds of depression (OR=1.52, 95% CI=1.27-1.82) and poor mental health (OR=1.58, 95% CI=1.27-1.96) were higher in the poor asthma control group compared to the good asthma control group. Odds for depression (OR=1.28, 95% CI=1.06-1.53) were also higher in the moderate asthma control group compared to the good asthma control group. Among those aged ≥55 years, depression odds (OR=1.57, 95% CI=1.31-1.87) were higher in only the poor asthma control group. These findings may have public health implications. Detecting, screening, and treating depression and mental health disorders may help improve asthma control in people with asthma.

We investigated the association between discrimination, neighborhood unsafety, and household food insecurity (FI) among Nigerian adults, as well as the gender-specific differences in these associations. Our analysis utilized data from the 2021 Multiple Indicator Cluster Survey (MICS), comprising 56,146 Nigerian adults aged 15–49 (17,346 males and 38,800 females). For bivariate analysis, we employed the Rao–Scott chi-square test to examine the relationship between predictors (discrimination, neighborhood unsafety, and a composite variable of both) and the outcome variable (FI). Food insecurity was assessed using both a dichotomous measure (food insecure vs. food secure) and a multinomial variable (food secure, mild FI, moderate FI, and severe FI). To model the association between predictors and FI while controlling for potential confounding factors, we utilized weighted binary and multinomial logistic regression. Among Nigerian adults, the prevalence of having ever experienced FI was 86.1%, with the prevalence of mild FI, moderate FI, and severe FI being 11.5%, 30.1%, and 44.5%, respectively. In the binary model, experiencing discrimination (OR = 1.36, 95% CI = 1.19–1.55), living in an unsafe neighborhood (OR = 1.33, 95% CI = 1.14–1.54), and facing both discrimination and unsafe neighborhood conditions (OR = 1.97, 95% CI = 1.57–2.48) were significantly associated with FI. In the multinomial model, discrimination, neighborhood unsafety, and experiencing both remained associated with moderate and severe FI. In the gender-specific models, discrimination and neighborhood unsafety were found to be significantly associated with FI in women but not in men. This study underscores the importance of implementing policies and programs that address the underlying causes of food insecurity, with specific attention to discrimination and neighborhood safety concerns, particularly for Nigerian women.

Metabolic dysfunction–associated steatotic liver disease (MASLD) is a growing global health burden. Geroscience posits that accelerated biological aging is a key driver of chronic disease. We systematically reviewed the evidence to define the role of biological aging (BA) across the MASLD disease spectrum. A systematic literature search of PubMed/MEDLINE and Embase was conducted from inception through August 2025 for observational studies in adults assessing validated BA measures (phenotypic age, Klemera–Doubal method, Homeostatic Dysregulation, epigenetic clocks, telomere length) and MASLD outcomes. A narrative synthesis was performed following SWiM guidelines because of substantial methodological heterogeneity. Nineteen studies were included. BA was operationalized using clinical composite clocks (KDM-BA, PhenoAge, Homeostatic Dysregulation), epigenetic clocks, leukocyte telomere length, homeostatic dysregulation indices, and one machine-learning BA metric. Accelerated BA generally referred to BA higher than expected for chronological age or shorter telomere length. Across large cross-sectional studies, individuals with accelerated BA had higher odds of MASLD/nonalcoholic fatty liver disease (NAFLD), and in prospective cohorts, higher BA at baseline predicted increased hazards of incident NAFLD after multivariable adjustment, suggesting BA functions as an upstream integrator of risk rather than only a consequence of liver disease. Accelerated BA was also associated with greater fibrosis burden and with higher all-cause mortality among people with MASLD. Several studies indicated that BA mediates part of the effect of environmental toxicants on MASLD and acts as an effect modifier, with higher risk observed when accelerated BA co-occurs with unfavorable genetic profiles or environmental exposures. Mendelian randomization analyses supported a potential causal role of cellular aging in liver fibrogenesis. Across 19 observational studies, accelerated biological aging (assessed using clinical composite indices, epigenetic clocks, and telomere length) was consistently associated with higher MASLD/NAFLD risk, greater fibrosis severity, and higher mortality. These findings support BA as potentially a clinically relevant risk integrator in MASLD spectrum diseases. However, heterogeneity in BA measures and disease definitions limits comparability and highlight the need for harmonized BA measures in longitudinal studies.