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PubMed2025

Feasibility, Acceptability, and Preliminary Effectiveness of Family Navigation for Low-income Ethnoracially Diverse Preschoolers with Developmental Concern.

OBJECTIVE: To assess for feasibility, acceptability, and preliminary effectiveness of an ethnoracially-matched family navigation intervention aimed at reducing barriers to developmental evaluations for preschoolers with developmental concern attending Head Start. METHODS: Fifty-eight parents of Head Start preschoolers who were identified as at risk for developmental delay were assigned using stratified block random sampling to the family navigation intervention (n = 28) and 30 controls (usual care). Key outcomes included the percentage of children who completed the planned intervention visits, satisfaction with the intervention, and the proportion of children guided by family navigators who completed developmental evaluations. RESULTS: Of the 28 families, 21 parents completed the family navigation intervention visits. The intervention sample was diverse, including 57% Black, 24% White, and 19% Latino(a) parents. Ninety percent of Head Start educators (n = 18) and 100% of healthcare providers (n = 6) were satisfied with the intervention. Parents qualitatively reported that they valued the advocacy support from the family navigators and navigators (n = 7) valued their role in "giving back." Sixty-six percent of the intervention group were seen by a healthcare provider to discuss developmental concerns showing preliminary effectiveness for completion of healthcare evaluations. However, there was no significant difference between those in the intervention and control group completing Head Start recommended evaluations, and over half of all participants were not referred for educational evaluations. CONCLUSION: Results support the feasibility, acceptability, and preliminary effectiveness of an ethnoracially matched family navigation intervention to reduce barriers to developmental healthcare evaluations for preschoolers at risk for developmental delays. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03499405; Date of Registration: April 9, 2018.

Humans↗

PubMed2026

Trends in the Prevalence of Foods High in Saturated Fats, Sodium, and Added Sugars among U.S. adults, NHANES 2007-2018.

BACKGROUND: Foods and beverages high in saturated fats, sodium, and added sugars (HFSS) are often ultra-processed and linked to poor health outcomes, but few studies have investigated their intake. OBJECTIVE: To describe the trends in the intake of HFSS foods and beverages between 2007 and 2018 in a nationally representative sample of U.S. adults, by sociodemographic characteristics and What We Eat in America food groups. DESIGN: This is a secondary, cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018. PARTICIPANTS/SETTING: The final sample included 27,984 adults 19 years of age or older from NHANES with at least one complete dietary recall. MAIN OUTCOME MEASURES: The primary outcomes are the percentage of total energy intake from foods classified as HFSS according to the Pan American Health Organization (PAHO) Nutrient Profile Model. STATISTICAL ANALYSES PERFORMED: To estimate the percentage of energy intake from foods and beverages HFSS, linear regression models with interaction terms between cycles and covariates were used. RESULTS: The overall intake of foods and beverages HFSS did not change, representing over 60% of the total energy intake between 2007-2010 and 2015-2018. The intake of foods and beverages high in sodium increased by 2.0 percentage points (95% CI: 0.5, 3.5) and 3.5 percentage points (95% CI: 1.1, 5.8), respectively. The intake of foods and beverages high in saturated fats increased by 6.1 percentage points (95% CI: 4.5, 7.6) and 6.1 percentage points (95% CI: 3.9, 8.2), respectively. The intake of foods and beverages high in added sugars did not change. CONCLUSION: In the U.S., intake of HFSS foods and beverages is high. Future research should focus on whether public health interventions and policies might reduce the intake of foods high in nutrients of concern.

Added sugars↗

PubMed2026

Cancer statistics for Asian American, Native Hawaiian, and Pacific Islander people, 2026.

BACKGROUND: Cancer statistics for Asian American and Native Hawaiian and Pacific Islander (NHPI) people are usually aggregated, masking substantial variation within this heterogeneous population. Herein, the American Cancer Society reports cancer incidence and survival for 8 Asian American and 3 NHPI ethnic groups. METHODS: The authors used population-based cancer registry data from the National Cancer Institute's Surveillance, Epidemiology, and End Results program, for Asian American and NHPI ethnic groups from 2000 through 2022. RESULTS: During 2018-2022, overall cancer incidence ranged from 218.3 per 100,000 Kampuchean people to 474.5 per 100,000 Native Hawaiian people, which was 1.5 times higher than the rate for the aggregated Asian American and NHPI population (307.3 per 100,000). High incidence among Native Hawaiian people is largely driven by the highest rates of female breast, colorectal, and prostate cancers, whereas infection-related cancers were highest among Asian American ethnic groups. For example, liver and stomach cancer incidence is highest among Vietnamese (22.2 per 100,000) and Korean people (17.8 per 100,000), respectively, both of which were nearly twice that in Native Hawaiian people (12.9 and 9.6 per 100,000, respectively). Native Hawaiian and Samoan women are twice and 3 times as likely, respectively, to be diagnosed with uterine corpus cancer as aggregated Asian American and NHPI women or White women. Five-year relative survival ranges from 42% in Laotians to 74% in Asian Indians/Pakistanis, with largest differences for colorectal (43% in Laotians to 72% in Asian Indians/Pakistanis) and prostate (63% in Kampucheans to 97% in Japanese) cancers. CONCLUSIONS: Wide variation in cancer risk within the Asian American and NHPI population highlights the critical need for disaggregated data to effectively target cancer prevention and control interventions.

Adolescent↗

PubMed2026

Factors Associated With Menopause Symptoms: A Systematic Review and Meta-Analysis.

BACKGROUND: Menopause, marked by hormonal decline and menstrual cessation, is associated with various symptoms. Socio-demographic and behavioural factors may influence symptom type and severity. Understanding these associations can inform better symptom management. OBJECTIVES: To identify factors associated with the presence and severity of menopausal symptoms through systematic review and meta-analysis. SEARCH STRATEGY: We searched Medline, Embase, CINAHL and Cochrane for studies on demographic, behavioural, or health factors linked to vasomotor, vaginal dryness and joint symptoms in women aged 40-60. SELECTION CRITERIA: Studies reporting odds ratios or raw numbers for symptom presence or severity were included. DATA COLLECTION AND ANALYSIS: Studies were combined for meta-analysis, reporting odds ratios and 95% confidence intervals. Quality assessment was performed to quantify the risk of bias. RESULTS: Of 9228 screened articles, 61 were meta-analysed. Compared with White women, Black women had higher odds of vasomotor symptom presence (OR 1.65, 1.41-1.94) and severity (OR 1.91, 1.10-3.29), and vaginal dryness presence (OR 1.27, 1.10-1.47), while Asian had lower vasomotor symptom presence and severity (OR 0.40, 0.22-0.72; OR 0.55, 0.53-0.56). Higher education (OR 1.31, 1.09-1.56), high income (OR 1.41, 1.01-1.97) and depression (OR 2.36, 1.51-3.70) were associated with increased presence of vasomotor symptoms. Smoking and obesity were associated with both presence (OR 1.63, 1.30-2.04 and 1.35, 1.02-1.78) and severity (OR 1.56, 1.07-2.27 and 1.42, 1.11-1.83) of vasomotor symptoms. CONCLUSION: Socio-demographic and behavioural factors, including ethnicity, education, income, smoking, obesity and depression, influence menopausal symptoms, highlighting the need for personalised care. TRIAL REGISTRATION: PROSPERO number: CRD42023459154.

Humans↗

PubMed2026

Socioeconomic differences in the effectiveness of oral health programs for dental caries prevention in Europe: A systematic review and meta-analysis.

AIM: The meta-analysis systematically summarized evidence on how socioeconomic status (SES), access to dental care, and oral health programs (OHP) affect caries prevalence and severity among children and adults in Europe. METHODS: Four electronic databases (PubMed, Scopus, Cochrane Library and Embase) were systematically screened from 1947-2026, supplemented by cross-referencing and manual searches, without language restrictions. Study selection, data extraction and quality assessment were done in duplicate. Methodological quality was assessed using the NHLBI Study Quality Assessment Tools according to study design. Certainty of evidence was graded using GRADE Profiler 3.6. Mean differences (MD) were calculated for changes in DMFT, and odds ratios (OR) for the presence of dental caries in individuals using fixed-or random-effects models. RESULTS: Electronic searching identified 1800 articles; 23 studies were included in the review (>169,000 participants) and 14 in the meta-analyses (>88,000). Nine studies evaluated the effectiveness of OHP stratified by SES, and ten examined OHP in low-SES populations. Among low-SES individuals, participation in OHP was associated with a significantly lower increase in DMFT (MD[95% CI]=-0.63[-0.94;-0.31];very low certainty) and significantly lower odds of having dental caries (OR[95% CI]=0.61[0.52;0.73];very low) compared with non-participation. Among program participants, individuals with low SES showed a significantly greater increase in DMFT than those with high SES (MD[95% CI]=0.79[0.30;1.21];very low) and had significantly higher odds of having dental caries (OR[95% CI]= 2.88[1.97;4.22];very low). CONCLUSION: Participation in OHP may be associated with reducing dental caries in European populations, but benefits are unequally distributed and increase with higher SES. However, this conclusion is based on a limited number of well-conducted trials.

Humans↗

PubMed2026

A systematic review of international/national guidelines for the management of nasopharyngeal carcinoma: Convergence and divergence of recommendations.

Increasing numbers of clinical practice guidelines have been published by international/national groups for nasopharyngeal carcinoma (NPC), providing valuable references for clinicians in making evidence-based decisions on treatment. However, there are substantial discrepancies in various recommendations, leading to uncertainties in choosing the optimal strategies. The authors systematically searched databases and organizational websites for NPC guidelines published between January 2000 and November 2025. All identified guidelines underwent quality appraisal; in total, 26 clinical practice guidelines rated recommended for use were included. The recommendations covering all management aspects (diagnosis, staging, radiotherapy, systemic therapy, follow-up surveillance, biomarkers, and salvage of recurrent/metastatic diseases) were summarized and comparatively analyzed for consistency and disparities. Strong consensus exists for diagnostic workup, staging systems, and induction chemotherapy plus concurrent chemoradiotherapy for advanced disease, whereas marked disparities exist on radiotherapy details, particularly target volume delineation, elective coverage extent, and dose specifications. Although systemic therapy strategies for different stage groups were mostly consistent, substantial disparities exist in alternative options and treatment details. This first comprehensive systematic synthesis of international NPC guidelines provides a practical reference for clinicians to understand all recommendations and select optimal options based on local resources and expertise while identifying current controversies that demand future research for further standardization and harmonization.

Humans↗

PubMed2026

Methods for defining equity-stratifying variables: a systematic review of validation studies.

BACKGROUND AND OBJECTIVE: Disease burden is often disproportionally higher among those who are socially disadvantaged by factors defined in the PROGRESS-Plus framework (ie, Place of residence, Race/ethnicity/culture/language, Occupation, Gender/sex, Religion, Education, Socioeconomic status, and Social capital, with "Plus" covering features like age and disability). The accuracy and applicability of case definitions to identify these variables from administrative and clinical health data are unknown. We conducted a systematic review to explore how equity-stratifying variables, as categorized by the PROGRESS-Plus framework, have been defined and validated in epidemiologic studies using administrative health, population-level, or electronic health record (EHR) data. METHODS: Medline, EMBASE, CINAHL, Web of Science, and Google Scholar were searched from the inception of the databases to 2024 for validation studies of equity-stratifying variables in adults using administrative health datasets, health registries, or EHR data. Titles and abstracts, followed by relevant full-text articles, were screened in duplicate by two reviewers for eligibility. The data sources utilized, algorithms employed, and their associated performance measures were extracted and synthesized from included studies. Given substantial heterogeneity in study design, equity-stratifying variable definition, and performance metrics, meta-analysis was not possible. RESULTS: Of the 9099 unique citations screened, 188 full texts were reviewed and 116 were included in this review. Most studies were published between 2019 and 2024 (n = 64, 55%) and were validation studies of race/ethnicity definitions that used race/ethnicity codes or surname list algorithms (n = 66, 57%). No studies examined religion. Regarding the reported performance measure estimates, the race/ethnicity/culture/language equity-stratifying variables category had the largest variability across sensitivity, positive predictive value (PPV), and Cohen's Kappa. Occupation validation studies had the lowest variation in sensitivity and PPV. CONCLUSION: Despite an increasing number of publications reporting on the validation of equity-stratifying variables relevant to the PROGRESS-Plus framework, performance measures varied widely across studies. The significant heterogeneity in equity-stratifying variable definitions and methods used to validate them support the need for further rigorous validation of equity-stratifying variables in administrative and clinical health data. PLAIN LANGUAGE SUMMARY: Disease burden is often higher in people who experience financial hardships, lower level of education, discrimination due to race/ethnicity, and unstable housing. These social factors can be considered health equity factors and are important for understanding health inequalities. Health researchers often use large datasets, such as hospital or electronic health records (EHRs), to study these health equity factors. However, it is not clear how accurately these data sources capture information about people's social circumstances and how these factors are defined. In this study, we reviewed existing research to understand how health equity factors have been defined across health data sources and how accurate they are at measuring aspects of health equity and social disadvantage. Of the more than 9000 studies we identified, we included 116 that met our criteria for this systematic review. Most included studies focused on identifying race and ethnicity, often using codes or surname-based methods. We found that the accuracy of these methods varied widely across studies, meaning results may not always be reliable or comparable. Overall, our findings show that there are inconsistencies in how social factors are defined and measured in health data. This makes it difficult to fully understand and address health inequalities using routinely collected health data. More work is needed to develop and validate better quality and more consistent methods for capturing these important social factors.

Humans↗

PubMed2026

Neighborhood Deprivation and Screening Mammography Utilization: A Retrospective Cross-Sectional Study.

RATIONALE AND OBJECTIVES: Access to screening mammography reduces breast cancer mortality disparities. The Area Deprivation Index (ADI) is a validated measure of neighborhood socioeconomic disadvantage linked to adverse health outcomes. There is limited data evaluating mammography utilization among patients residing in areas of higher deprivation. This study evaluated the association between ADI and screening mammography utilization within an accountable care organization (ACO) affiliated with a multicenter academic medical center in the Upper Midwest. METHODS: This retrospective cross-sectional study included women aged 40-85 years attributed to the ACO in 2022, based on Wisconsin Collaborative for Healthcare Quality criteria. The primary outcome was receipt of screening mammography within two years. The primary exposure was ADI, analyzed by decile (ordinal) and as low (deciles 1-5) versus high (deciles 6-10) deprivation. The logistic regression models evaluated associations between ADI and screening, unadjusted and adjusted for age, race, ethnicity, and preferred language. RESULTS: Among 7463 participants with geographic data, 74.4% completed screening. Screening rates were 75.7% in low-deprivation areas versus 66.2% in high-deprivation areas. Increasing ADI decile was associated with reduced screening in unadjusted (OR 0.891, 95% CI 0.87-0.91, p<0.001) and adjusted analyses (OR 0.897, 95% CI 0.88-0.92, p<0.001). Black participants (OR 0.444, p<0.001) and individuals preferring non-English languages (OR 0.333, p<0.001) had lower screening odds after adjustment. CONCLUSION: Higher neighborhood deprivation is independently associated with lower screening mammography utilization. Targeted, equity-focused interventions addressing neighborhood, racial, and language-related barriers are needed to reduce screening disparities.

Area deprivation Index↗

PubMed2026

Temporal Trends and Spatial Variation in Preterm Prelabour Rupture of Membranes: A Population-Based Study.

OBJECTIVE: To describe the temporal trends in Preterm prelabour rupture of membranes (PPROM) in metropolitan France and the geographical distribution at the administrative division level. DESIGN: Exploratory population-based study using administrative data of the French National Health Data System. SETTING: Metropolitan France, 2015 to 2023. POPULATION: Pregnancy with a diagnosis of PROM before 37 SA. METHODS: Annual crude incidence of PPROM was calculated by dividing the number of pregnancies with PPROM diagnosis by the number of live births recorded during the same period. Annual trend was estimated by a binomial negative mixed model. Smoothed standardised incidence ratios were estimated based on a BYM2 model, which accounts for spatial variability between departments. MAIN OUTCOME: PPROM cases, defined as pregnancies with first hospitalizations with a diagnosis of PROM before 37 weeks. RESULTS: Over the study period, we included 150 615 PPROM cases representing 16 735 (±596) per year. Incidence of PPROM cases showed an ascending trend over time (incidence rate ratio 1.023 per year; 95% CI: 1.017-1.030) with an annual crude incidence ranging from 2.2% in 2015 to 2.7% in 2023. A decrease in the incidence was observed in 2020 relative to other years (incidence rate ratio 0.903, 95% CI: 0.887-0.920). A map of smoothed SIRs of PPROM cases at the French administrative division level revealed geographical inequalities. CONCLUSIONS: This first population-based study describing PPROM cases in metropolitan France paves the way for further studies to explore environmental hypotheses. Identifying temporal and geographical disparities in PPROM incidence is relevant to public health policy and practice as such disparities argue for the development of targeted prevention strategies in high-risk areas.

French national health data system↗

PubMed2026

Impacts of climate-driven yield changes on the affordability of healthy diets: a modelling study.

BACKGROUND: Food security is central to global nutrition improvement and public health goals, and healthy diets represent a higher-level aspiration beyond merely avoiding hunger. Climate change poses an increasing threat to food systems by affecting crop yields and food prices. Although climate change-driven risks to hunger have been widely studied, the extent to which climate change undermines the affordability of healthy diets while accounting for socioeconomic responses and regional inequalities remains insufficiently understood. This study aimed to quantify the effects of climate change on the future affordability of healthy diets under alternative socioeconomic and climate scenarios. METHODS: We developed an integrated modelling framework that explicitly couples multimodel crop-yield projections with an integrated assessment model (Global Change Analysis Model [GCAM]). Yield responses from six global gridded crop models driven by four climate models were integrated into GCAM, allowing endogenous socioeconomic adjustments such as land-use shifts, production reallocation, and price responses to emerge under shared socioeconomic pathways (SSPs). Diet affordability was then assessed using the Food and Agriculture Organization of the UN's Cost and Affordability of a Healthy Diet framework across three socioeconomic-climate scenarios (SSP1-2.6, SSP2-4.5, and SSP3-6.0). FINDINGS: Under a high-emissions pathway (ie, SSP3-6.0), climate change was projected to render healthy diets unaffordable for a model-mean of 119 million people globally by 2100, even when CO2 fertilisation effects are included, with the upper end of the model ensemble reaching about 1·6 billion people. In contrast, climate-induced affordability losses were found to be negligible under both a low-emissions pathway (ie, SSP1-2.6; -0·3 million) and a medium-emission pathway (SSP2-4.5; +0·2 million). Under a high-emission pathway, model-mean projections indicated that diet costs could increase by up to 12% in the most affected regions by the end of the century. Under medium emissions, cost increases were projected to remain below 4%, whereas under low emissions, affordability changes were projected to be minimum across regions (within approximately 0·5%). Substantial regional disparities emerged, with the largest and most consistent affordability losses concentrated in low-income regions that contributed least to historical greenhouse gas emissions. Under SSP3-6.0, these disparities persisted particularly in regions of Africa and Asia despite projected three-to-five-fold increases in income over the century, with climate-induced disruptions to food systems increasing the number of people unable to afford a healthy diet through mid-century. INTERPRETATION: Climate change is likely to exacerbate global nutritional inequalities by disproportionately increasing the affordability risks of healthy diets in regions that have contributed least to historical greenhouse gas emissions. Under high-warming scenarios, socioeconomic development alone is insufficient to fully offset these risks, highlighting the structural vulnerability of low-income food systems to climate-driven price shocks. These findings suggest that in the absence of targeted interventions, climate change could continue to undermine progress towards equitable and health-oriented nutrition outcomes. FUNDING: Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China; National Aeronautics and Space Administration Goddard Institute for Space Studies Climate Impacts Group; Future of Life Institute; and Global Alliance for Improved Nutrition.

Journal Article↗

PubMed2026

Ancient DNA and Human Physiology.

Ancient DNA (aDNA) enables the reconstruction of chronologically sampled genomes from ancient humans, animals, plants, pathogens, and microorganisms, as well as environmental DNA, providing a record of biological changes through time. Improvements in short and degraded DNA extraction methods and low-cost sequencing now enable the generation of broad, cross-regional datasets that expand evolutionary analyses from past population demography to biological mechanisms. By tracking temporal shifts of allele frequencies, integrating functional genomics resources (e.g., gene expression, chromatin structure variation), modeling population demography to separate selection from genetic drift, and aligning genetic changes with archaeological, cultural, and climatic data, aDNA has the potential to link sequence variation to physiological function within their temporal and environmental contexts. In this review, we summarize illustrative case studies from aDNA research spanning complex traits, dietary adaptations, and responses to pathogens and other environmental changes, showing how human biology has evolved under multiple selective pressures through time. These dated signals help triage experimental work and expose mechanisms that are rare or absent in living cohorts. Although some challenges remain, such as geographic and temporal sampling disparities, limitations in data resolution and variant detection, and genotype-phenotype uncertainties, rapid methodological progress and stronger ethical frameworks are expanding what can be inferred, making aDNA a promising tool for refining physiological pathways, their timing, and their drivers.

Humans↗

PubMed2026

Influence of built environment on occupational health of women workers in tea plantations of India: a systematic review.

The built environment, comprising homes, buildings, roads, public spaces, infrastructure, land use, civic design, and amenities, has a considerable influence on occupational health. In India's tea plantations, where women comprise majority of the workforce, the built environment plays a crucial role in determining occupational health. The aforementioned point can be explained by the co-occurrence of living and working conditions, which often coexist in tea plantations, further resulting in vulnerabilities to the health of women workers. Therefore, to understand the influence of built environment on the occupational health of women workers in tea plantations of India, the present paper employs a systematic review using the PRISMA 2020 framework. In the first search, 421 studies were identified, of which 21 studies met all the inclusion criteria. A quality appraisal and risk of bias of the included studies have been undertaken. The results identified that musculoskeletal disorders (MSDs) are the most prevalent occupational health consequence, affecting over 80 % of the women workers in Indian tea plantations, substantiated by a range of estimates in the studies reviewed. Gendered disparities in wage earning, self-autonomy, and dual responsibilities often lead to emotional distress, as delineated in minimal of the reviewed studies, grounded on self-disclosed or qualitative analysis. Further, deprived housing conditions and other facilities across the reviewed studies reflect institutional negligence. Therefore, by conducting a systematic synthesis of occupational health of women workers in the Indian tea plantation sector through the lens of the built environment, prior accounts have been extended. Addressing these issues is essential for safeguarding women workers, which will ensure the longevity of the Indian tea industry.

Female↗

PubMed2026

Evolutionary expansion of the NF-Y gene family in bivalves and divergent subunit responses to thermal and pathogenic stress in the noble scallop.

Nuclear factor Y (NF-Y) is a conserved eukaryotic transcription factor complex that specifically interacts with the CCAAT motif. Prior research has demonstrated that this gene family participates in various biological processes, encompassing growth, development, and stress responses, across a broad spectrum of organisms. However, research on the role of the NF-Y family in bivalves remains limited. In this study, we comprehensively identified the NF-Y family in 34 bivalve species, and further investigated its expression in the noble scallop Chlamys nobilis. A total of 296 NF-Y genes were identified and classified into three subfamilies, NF-YA, NF-YB, and NF-YC. Phylogenetic analysis revealed that NF-YA and NF-YC have remained relatively conserved, whereas NF-YB has undergone significant expansion. Additionally, while substantial disparities in gene copy numbers exist across species, the motif composition and exon-intron structures within each subfamily demonstrate notable conservation. Tissue expression profiling revealed distinct expression patterns among CnNF-Y genes, with several members exhibiting relatively high transcript abundance in gonadal tissues. Furthermore, qRT-PCR results demonstrated that CnNF-YA2, CnNF-YB6, and CnNF-YC were significantly and continuously upregulated under heat stress. Conversely, several genes, particularly CnNF-YA2, CnNF-YB3, and CnNF-YB4, exhibited dynamic transcriptional responses to Vibrio parahaemolyticus exposure. These findings enhance our understanding of the evolutionary trajectory and functional diversification of the NF-Y gene family in bivalves, laying a theoretical foundation for future research on thermal adaptation, immune regulation, and molecular breeding in scallops.

Animals↗

PubMed2026

An introductory practical guide to secondary data analysis in pediatric urology.

INTRODUCTION: Secondary data analysis (SDA) has become an increasingly important approach in pediatric urology, enabling the study of long-term outcomes, care variation, and disparities in populations with chronic or congenital urologic conditions. With the growing availability of large datasets, a structured approach to designing and conducting SDA studies is increasingly relevant. OBJECTIVES: To provide an introductory, practical guide to SDA in pediatric urology by (1) summarizing commonly used data sources with representative studies, (2) outlining a stepwise approach to designing and executing SDA studies, and (3) highlighting key methodological considerations, limitations, and opportunities for future work. STUDY DESIGN: Narrative review of existing literature and commonly used datasets relevant to pediatric urology, including administrative claims, hospital encounter databases, clinical registries, electronic health record networks, and population-based surveys. RESULTS: Data sources differ in scope, clinical granularity, longitudinal follow-up, and representativeness, and each is suited to specific research questions. We present a practical workflow for SDA, including dataset selection, cohort definition, and analytic planning. Linkage across datasets can provide a more comprehensive view of care patterns and outcomes, although feasibility is influenced by legal, technical, and data-quality constraints. DISCUSSION: SDA enables population-level analyses and the study of rare conditions that are challenging to evaluate through single-center or prospective designs. However, careful cohort definition, feasibility assessment, and awareness of data limitations are essential to ensure validity and interpretability. CONCLUSION: SDA provides a scalable, cost-efficient framework for generating meaningful evidence in pediatric urology. Continued efforts to harmonize data elements, improve linkage infrastructure, and support cross-institution collaboration will enhance the quality and impact of future research. This article provides a practical framework and examples to support the design and execution of SDA studies.

Humans↗

PubMed2026

Healthcare Access and Safety Training Gaps Among H-2 A Visa Agricultural Workers in Georgia.

The H-2 A Temporary Agricultural Workers Program, which supplies seasonal labor essential to U.S. food security, has grown over 230% in the past decade but is excluded from the National Agricultural Workers Survey. Although safety training is federally mandated and H-2 A workers are eligible for Affordable Care Act (ACA) marketplace coverage, compliance and healthcare access among these workers remain poorly documented. The aim of this pilot study was to assess workplace safety training, heat acclimatization practices, health insurance awareness and enrollment, and healthcare utilization among H-2 A workers in Georgia. In summer 2024, bilingual research assistants orally administered a cross-sectional Spanish-language survey to 51 H-2 A workers at a South Georgia laundromat, in partnership with the Latino Community Fund Georgia. The survey assessed demographics, occupational characteristics, safety training, heat acclimatization, health insurance awareness and enrollment, and healthcare utilization. Findings are self-reported. Among participants, 41% reported not receiving federally mandated pesticide safety training, and 59% received heat illness prevention training. Heat acclimatization was inadequate for 53% (29% received none). Additionally, 53% did not know the nearest hospital, 43% reported having health insurance, and 25% were unsure of their health insurance status. Overall, 71% had never visited a doctor's office, and of 22 insured workers, only 1 (2%) had used benefits this season. Substantial gaps in workplace safety training, heat acclimatization, and healthcare access were observed in this pilot study, consistent with prior evidence of persistent disparities in this population. Community-based outreach, bilingual health navigation, and market-based labor accountability models warrant further investigation to improve protections for H-2 A workers.

Agricultural workers↗

PubMed2026

Sex-stratified analyses of femoral intercondylar notch morphology and ACL injury risk: a systematic review and meta-analysis.

BACKGROUND: Anterior cruciate ligament (ACL) injury is more common in females. Although ACL injury risk is multifactorial, involving neuromuscular, hormonal, and biomechanical factors, femoral intercondylar notch morphology is a proposed non-modifiable anatomical contributor that may help explain this disparity. This review synthesizes evidence on its association with ACL injury risk, analyses stratified by male and female sex. METHODS: A literature search of PubMed, Web of Science, and Scopus was conducted through January 2026. After duplicate removal, 527 unique records were screened and 134 full texts assessed for eligibility. Twenty-four studies met inclusion criteria, with 22 providing quantitative data. Data were extracted on ACL-injured (ACLi) and control (ACLc) knees, stratified by sex. RESULTS: ACLi knees had narrower notch widths than ACLc knees in both females (MD -1.74 mm, 95% CI -2.54 to -0.95) and males (MD -1.31 mm, 95% CI -1.94 to -0.68), with substantial heterogeneity (I2 81-95%). NWI differences were significant in males (MD -0.01, 95% CI -0.02 to 0.00) but not females. Limited notch shape data suggested higher ACL injury odds with A-shaped notches in females (OR 2.85, 95% CI 0.07-110.66) and males (OR 1.67, 95% CI 0.00-3.98 × 105). CONCLUSION: Narrower femoral intercondylar notch width was consistently associated with ACL injury in both sexes, whereas findings for NWI and notch shape were limited by heterogeneity and sparse data. These results provide a structured synthesis of sex-specific anatomical risk factors and support femoral notch narrowing as a shared contributor, while highlighting the need for prospective, standardized studies in the future.

Humans↗

PubMed2026

Changes in ACL T2* Metrics Over the Course of the Female Menstrual Cycle: A New Biomarker for the ACL Injury Risk?

BACKGROUND: Sex-based disparities in the anterior cruciate ligament (ACL) injury risk may be partly explained by cyclic variations in sex hormones that drive systemic shifts in tissue osmoregulation. Ultrashort echo time (UTE) T2* magnetic resonance imaging provides a noninvasive, quantitative means of evaluating the water content and collagen orientation in tissue. HYPOTHESIS: Eumenorrheic female participants will exhibit significant ACL T2* changes across the cycle, while anovulatory control participants will demonstrate no significant changes over time. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: A total of 25 women with no prior knee injuries were enrolled: 10 premenopausal, eumenorrheic participants and 15 anovulatory control participants (6 postmenopausal and 9 premenopausal using oral contraceptives). Bilateral knee magnetic resonance imaging was performed at 4 time points evenly spaced over 1 month, with the first visit within 24 hours of menses onset. Ovulation status was confirmed using commercially available ovulation predictor kits. Three-dimensional UTE sequences (11 echoes; 0.03-25 ms) were acquired to evaluate bicomponent ACL T2* metrics. Linear mixed-effects models assessed temporal differences in long and short T2* values, and the Cohen d quantified effect size. RESULTS: Eumenorrheic participants demonstrated significantly shorter preovulatory long T2* values compared with postovulatory values (mean difference, 1.0 ms [95% CI, 0.2-1.9 ms]; P = .015; Cohen d = 0.51). No significant temporal differences were observed for any T2* metric in anovulatory controls. CONCLUSION: Eumenorrheic female participants exhibited significant preovulatory to postovulatory changes in ACL T2* metrics, while anovulatory controls demonstrated no significant changes over time. These findings suggest that ACL T2* metrics are sensitive to cyclic fluctuations in female sex hormones across the menstrual cycle.

Humans↗

PubMed2026

Responding to a protracted tuberculosis outbreak: lessons from multiple rounds of investigation in a Chinese boarding school.

PURPOSE: This study analysed a multi-semester pulmonary tuberculosis (PTB) cluster outbreak in a Chinese boarding school to provide evidence for future epidemic control. METHODS: Contacts were screened via symptoms, infection tests and chest radiography. Screening expanded progressively from close contacts to same-floor contacts, then all students and staff. Whole-genome sequencing (WGS) with single nucleotide polymorphism (SNP) and bioinformatics analysis was used for lineage classification, transmission clustering (≤12 SNPs defining a cluster) and drug resistance prediction. RESULTS: From 2020 to 2022, 20 students were diagnosed with PTB, half laboratory-confirmed. Most cases clustered in class 16 and were epidemiologically linked to the primary case (case 0), who had household PTB exposure. Case 0 and case 1 had diagnostic delays exceeding 3 and 6 months, respectively. WGS of five isolates (case 1, 3, 4, 9 and 10) collected over three semesters showed all belonged to lineage 2 and differed by ≤12 SNPs, confirming the same transmission chain. The infection rate in class 16 (46.34%) was significantly higher than other case classes (19.05%) and classes without cases (8.27%) (χ2 = 61.169, p < 0.001). No new cases were detected during a one-year follow-up of students involved in the outbreak after the final round of screening, nor among household contacts of all cases followed up to the present. CONCLUSIONS: Lack of entry health examinations facilitated the outbreak. Delayed diagnosis, incomplete contact screening and absence of preventive treatment led to cross-semester persistence. The infection rate disparity confirms class 16 as the outbreak epicentre. Improving community case management, extending contact follow-up and enhancing cluster outbreak measures are recommended to prevent future outbreaks.

Humans↗