Categories
Nevin Manimala Statistics

Evaluation of planning policy to regulate takeaway food outlets for improved health in England: Synopsis

Public Health Res (Southampt). 2026 Jul;14(19):1-36. doi: 10.3310/GJTB1721.

ABSTRACT

BACKGROUND: Takeaway food outlets (‘takeaways’) sell hot food for consumption off the premises. Takeaway management zones are areas around schools where new takeaways are not allowed to open. They are the most common planning intervention targeting takeaways across local authorities in England to date. We conducted an evaluation of these zones to: model their impact on adult health model their associated economic costs and benefits explore their acceptability and perceived effectiveness among young people investigate support and perceived effectiveness among adults explore barriers to and facilitators of their adoption and implementation among local authority staff.

DATA AND METHODS: We used a forecast of takeaway growth and a statistical model to estimate the impact of zones on diet-related health outcomes, quality-adjusted life-years and healthcare costs to 2040. We did this for adults aged 25-64 years in six different local authorities. We conducted a linked economic analysis to understand the future costs and benefits of zones to local authorities, the National Health Service and national government. We estimated costs when denial of planning permission results in a 3-, 6- or 12-month vacancy before alternative retail uptake. We asked 46 young people about how acceptable they thought the policy was. By conducting ‘go along’ interviews, we gained insights into their everyday food habits within and outside the school gates. We used survey data to understand public acceptability and perceived effectiveness of zones. We also asked whether having fewer takeaways near schools could reduce how often young people consume takeaway food. To evaluate adoption and implementation, we interviewed 29 local authority public health and planning officers about what lessons they had learned.

RESULTS: Compared to no intervention, future reductions in takeaway exposure ranged from 3 outlets/person in Fenland to 28 outlets/person in Manchester. Obesity prevalence was reduced in both sexes in all local authorities, for example, in Manchester, by 2.3 percentage points for males. We observed reductions in disease incidence, for example, in Manchester, by 964 type II diabetes cases/100,000 males. Zones produced a positive net economic impact of, for example, £8.49-12.78M in Manchester. Despite objections on economic grounds, zones are associated with economic benefits for local authorities, the National Health Service and national government. Young people found zones to be acceptable and perceived them to have some positive impacts. But, a wider policy, including other types of outlets selling convenience food, may better limit dietary risk. Out of 3323 adults, 51% supported zone adoption. Almost three-quarters believed that zones would help young people to eat better. Among those aged 16-17 years, 33% agreed that young people would consume takeaway food less often if there were fewer takeaways near schools. Effective working relationships between local authority colleagues were important for adoption and implementation. Some local authorities ensured this by developing cross-departmental roles and policy ‘champions’. A formal implementation process ensured confidence and consistency in implementation.

CONCLUSIONS: Takeaway management zones around schools were forecast to reduce obesity prevalence and disease incidence by 2040, with no net economic costs. The public see zones as acceptable and potentially effective. However, the reality of adopting and implementing zones is challenging, while other aspects of food retail also influence the behaviours of young people.

FUNDING: This synopsis presents independent research funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme as award number NIHR130597.

PMID:42518263 | DOI:10.3310/GJTB1721

Categories
Nevin Manimala Statistics

Everyday Discrimination and Health Care Utilization Among US Adults

JAMA Netw Open. 2026 Jul 1;9(7):e2624373. doi: 10.1001/jamanetworkopen.2026.24373.

ABSTRACT

IMPORTANCE: Everyday discrimination, defined as repeated exposure to subtle slights and unfair treatment, has been reported to be associated with adverse health outcomes, but its association with health care use remains incompletely understood.

OBJECTIVE: To examine the association between everyday discrimination and health care use among US adults.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study included 27 384 National Health Interview Survey respondents 18 years and older who completed the Everyday Discrimination Scale (EDS) in 2023. Statistical analysis was performed from August to October 2025.

EXPOSURE: Everyday discrimination was measured using the validated 5-item EDS, with composite scores ranging from 0 to 20 (higher scores indicate greater discrimination).

MAIN OUTCOMES AND MEASURES: Four categories of binary, self-reported health care outcomes across multiple timeframes were examined: delayed or forgone care, health care visits, cancer screenings, and vaccinations and other preventive screenings. Adjusted odds ratios (AORs) and 95% CIs were estimated using survey-weighted logistic regression, adjusted for demographic, socioeconomic, geographic, and clinical covariates.

RESULTS: The sample included 27 384 adults (mean [SD] age, 48.1 [18.5] years; 51.2% female [weighted percentage]). The mean (SD) EDS score was 2.48 (3.34). Higher EDS scores were associated with increased odds of cost-related barriers to medical care (AOR per 1-point increase, 1.13; 95% CI, 1.11-1.15) and prescription medications (AOR, 1.14; 95% CI, 1.12-1.16). Higher scores were also associated with greater use of emergency department visits (AOR, 1.05; 95% CI, 1.04-1.06), urgent care (AOR, 1.05; 95% CI, 1.04-1.06) but lower odds of physician visits (AOR, 0.97; 95% CI, 0.96-0.99) and dental visits (AOR, 0.98; 95% CI, 0.97-0.99). Everyday discrimination was associated with lower engagement in cholesterol testing (AOR, 0.96; 95% CI, 0.95-0.97) and diabetes screening (AOR, 0.97; 95% CI, 0.96-0.98).

CONCLUSIONS AND RELEVANCE: In this cross-sectional study of 27 384 US adults, higher everyday discrimination scores were associated with higher reliance on emergency services and lower engagement with preventive care. Interventions addressing interpersonal and structural forms of discrimination, including culturally responsive care, implicit bias training, patient navigation programs, and expanded primary care access, are essential to reduce discrimination’s impact on health care use and outcomes.

PMID:42518238 | DOI:10.1001/jamanetworkopen.2026.24373

Categories
Nevin Manimala Statistics

Theater-Based Program for Collective Healing Among Asian American Health Care Professionals

JAMA Netw Open. 2026 Jul 1;9(7):e2625630. doi: 10.1001/jamanetworkopen.2026.25630.

ABSTRACT

IMPORTANCE: Research on the specific experiences of Asian American health care professionals and trainees, who face cultural dilemmas and stereotypes distinct from other minority groups, is limited. Few studies have evaluated interactive theater-based interventions for collective healing from racial trauma and for addressing cultural dilemmas, situations in which individuals navigate internalized stigma, interpersonal bias, and systemic exclusion within professional settings.

OBJECTIVE: To evaluate the acceptability, feasibility, and impacts of Acting Together, a webinar series using interactive theater to promote therapeutic healing and skill-building among Asian American health care professionals and trainees facing cultural dilemmas and biases at individual, interpersonal, and systemic levels.

DESIGN, SETTING, AND PARTICIPANTS: In this qualitative study with a mixed-methods design, Acting Together featured improvisational exercises, interactive skits inspired by Asian American trainees’ lived experiences, and panel discussions with Asian American health care professionals. Skits directly addressed topics of stereotypes, model-minority bias, and cultural expectations. Webinars were conducted via a videoconferencing platform in August and November 2023 and March 2024. Participants were health care trainees recruited nationally through institutional listservs, social media, and word of mouth.

MAIN OUTCOMES AND MEASURES: Prewebinar and postwebinar surveys assessed Likert-scale changes in self-perceived abilities to adapt, communicate, engage, and recognize implicit bias using paired t tests. Acceptability and feasibility were evaluated using summary statistics and Kolmogorov-Smirnov tests. Qualitative data from postwebinar focus groups were analyzed by iterative thematic analysis.

RESULTS: Out of 112 participants, 67 (59.8% response rate) completed paired pre-post surveys (41 [61.2%] female; 34 [50.7%] Asian American), including medical (34 [50.7%]), nursing (7 [10.4%]), and social work (5 [7.5%]) students. Most found the program fit into existing clinical work (63 [94.0%]), was adaptable to training programs (62 [92.5%]), and was recommendable (62 [92.5%]). Significant improvements were noted in pre-post scores for self-perceived wellness (13.8% change; P < .001), communication (13.2% change; P < .001), and confidence (11.2% change; P = .004), and 48 participants (71.6%) reported improved competency to recognize and address implicit biases (P < .001). Qualitative analysis revealed themes of psychological safety, community solidarity, and preparedness to address cultural dilemmas.

CONCLUSIONS AND RELEVANCE: In this mixed-methods study, Acting Together was associated with improved skills and confidence in addressing cultural dilemmas and implicit bias, suggesting interactive theater-based webinars are a promising educational approach to support Asian American health care professionals and trainees.

PMID:42518235 | DOI:10.1001/jamanetworkopen.2026.25630

Categories
Nevin Manimala Statistics

Plasma Amyloid-β 1-40 and Postoperative Delirium After Cardiac Surgery

JAMA Netw Open. 2026 Jul 1;9(7):e2625730. doi: 10.1001/jamanetworkopen.2026.25730.

ABSTRACT

IMPORTANCE: Postoperative delirium (POD) is a frequent and severe complication after cardiac surgery that is associated with increased risk of dementia and adverse outcomes. Early identification of high-risk patients remains challenging.

OBJECTIVE: To examine whether preoperative plasma Alzheimer disease biomarkers are associated with baseline cognition and can independently estimate POD in patients undergoing elective cardiac surgery.

DESIGN, SETTING, AND PARTICIPANTS: This prospective, observational cohort study (FIND Delirium Risk Factors [FINDERI]) included patients 50 years or older undergoing elective cardiac surgery at a comprehensive cardiac surgery center in Germany between February 1, 2021, and October 31, 2022. Statistical analysis was performed from January to December 2025.

EXPOSURES: Preoperative plasma concentrations of amyloid-β 1-40 (Aβ1-40), amyloid-β 42 (Aβ1-42), phosphorylated tau 181 (pTau181), and phosphorylated tau 217 (pTau217) were measured using validated immunoassays between November 1, 2022, and July 31, 2024.

MAIN OUTCOMES AND MEASURES: The primary outcome was POD, assessed daily for 5 days postoperatively using the Confusion Assessment Method algorithm. Baseline cognitive function was assessed using the Montreal Cognitive Assessment (MoCA). Risk estimation accuracy was evaluated using receiver operating characteristic analysis and multivariate logistic regression, adjusting for relevant clinical covariates.

RESULTS: Of 504 enrolled patients, 491 completed POD assessment (mean [SD] age, 68.4 [8.3] years; 385 [78.4%] male), of whom 106 (21.6%) developed POD. In multiple linear regression, pTau217 (β = -0.51; 95% CI, -0.89 to -0.12; P = .01) and age (β = -0.12; 95% CI, -0.16 to -0.08; P < .001) remained significant factors associated with lower MoCA scores. Patients who developed POD had higher preoperative Aβ1-40, Aβ1-42, pTau217, and Aβ1-40/Aβ1-42 × pTau217, and lower Aβ1-42/Aβ1-40. Aβ1-40 was the independent biomarker most strongly associated with POD (area under the receiver operating curve [AUC], 0.65; 95% CI, 0.59-0.71; P < .001). Combining biomarkers with clinical factors improved risk estimation (AUC, 0.74; 95% CI, 0.69-0.79; P < .001) compared with clinical factors alone (AUC, 0.73; 95% CI, 0.67-0.78; P < .001). A combined model including MoCA achieved an AUC of 0.77 (95% CI, 0.72-0.82; P < .001), driven primarily by Aβ1-40.

CONCLUSIONS AND RELEVANCE: In this prospective cohort study, preoperative Aβ1-40 showed the strongest association with POD risk among the measured biomarkers. These findings suggest that preoperative plasma Aβ1-40 may contribute to POD risk stratification, but further research is needed to validate these findings and determine clinical utility.

PMID:42518233 | DOI:10.1001/jamanetworkopen.2026.25730

Categories
Nevin Manimala Statistics

The Respiration-Limb Coactivation Index (RLCI): A Continuous Signal-Based Biomarker for Stratifying Cardiovascular Disease Risk in a Cross-Sectional Sleep Cohort

Sleep. 2026 Jul 28:zsag204. doi: 10.1093/sleep/zsag204. Online ahead of print.

ABSTRACT

STUDY OBJECTIVES: Conventional respiratory-related limb movement (RRLM) metrics rely on event definitions and overlap rules that miss continuous respiratory-motor coupling intensity. We developed the respiration-limb coactivation index (RLCI), an algorithmic continuous biomarker, and evaluated associations with cardiovascular disease (CVD).

METHODS: In Human Sleep Project polysomnography, RLCI was computed in S0001 (N = 20 737) as the interaction between respiratory-flow recovery and phasic leg-EMG envelope. The locked S0001 pipeline, without parameter tuning, was applied to two independent HSP centers (I0004, I0006). Prevalent coronary heart disease (CHD), cerebrovascular disease (CER), and peripheral vascular disease (PVD) associations were assessed by multivariable logistic regression with stage-restricted comparisons against LMI, PLMI, and RRLMI and signal-processing sensitivity analyses.

RESULTS: After covariate adjustment, whole-night RRLMI was not significant for CHD or CER, whereas RLCI metrics, especially in N1 and first-half sleep, remained associated with CER and PVD. RLC N1 showed the strongest CER association (per-1-SD OR 1.11, 95% CI 1.06-1.15), and RLC FirstHalf was associated with PVD (OR 1.07, 95% CI 1.03-1.11). Stage-restricted RRLMI_N1 was significant for all four outcomes, supporting stage-matched benchmarking. Mutual adjustment suggested complementary RLCI information for CER and PVD, while conventional N1 respiratory-related movements better captured CHD. Findings were stable in sensitivity analyses and external validation.

CONCLUSIONS: RLCI associations with CER and PVD suggest respiratory-linked motor coactivation captures autonomic surges distinct from cumulative hypoxia or sleep fragmentation and may complement AHI-based cardiovascular risk stratification.

PMID:42518228 | DOI:10.1093/sleep/zsag204

Categories
Nevin Manimala Statistics

Near-Synchronous Xylem Width Increase and Biomass Production in European Beech Revealed by X-ray Micro-Computed Tomography

Tree Physiol. 2026 Jul 28:tpag106. doi: 10.1093/treephys/tpag106. Online ahead of print.

ABSTRACT

Understanding the intra-annual timing of carbon allocation into wood is critical for linking environmental variability to forest carbon sequestration. We quantified the seasonal dynamics of xylem width increase and xylem biomass production in European beech (Fagus sylvatica) in Belgium during two contrasting growing seasons, a year characterized by a severe spring drought and peak summer hot drought (2020) and a mesic year (2021), using high-resolution X-ray micro-computed tomography (XμCT). Point dendrometer and microtomy measurements were used for validation and comparison. Both xylem width increase and cumulated xylem biomass production followed a sigmoidal seasonal trajectory in both years. Contrary to patterns commonly reported for conifers with a clear early- to latewood transition, the temporal lag between xylem width increase and xylem biomass production was minimal (< 3 days) and statistically insignificant, indicating near-synchronous development. XμCT-derived measurements of ring width, wood density, and biomass production broadly matched dendrometer data, as well as independent regional biomass estimates from the literature. Seasonal onset and cessation of xylogenesis shifted between years, with earlier onset and cessation in the dry year, which was aligned to microtomy data. Our results demonstrate that, in semi diffuse- to ring-porous angiosperms like beech, xylem expansion and secondary wall formation are tightly coupled, even under contrasting water availability, and suggest that dendrometer data can serve as a proxy for intra-seasonal wood biomass production at the stand level. XμCT provides a reliable tool for quantifying xylogenesis and carbon allocation, offering new insights into wood formation dynamics under variable environmental conditions.

PMID:42518227 | DOI:10.1093/treephys/tpag106

Categories
Nevin Manimala Statistics

Using double-layer agar and checkerboard assays to detect phage cocktail synergy with selected antimicrobials in Pseudomonas aeruginosa

Lett Appl Microbiol. 2026 Jul 28:ovag065. doi: 10.1093/lambio/ovag065. Online ahead of print.

ABSTRACT

The increasing prevalence of multidrug-resistant Pseudomonas aeruginosa highlights the need for alternative therapeutic strategies. This study evaluated the potential of a commercial bacteriophage cocktail combined with antimicrobial agents and compared two practical methods for screening phage-antimicrobial synergy. A lytic bacteriophage isolated from the PYO phage cocktail was characterized by host range, size, pH and thermal stability, and lytic activity against the reference strain PAO1. Synergy was assessed with nine antimicrobial agents, including conventional antibiotics, efflux pump inhibitors, and essential oil compounds, using agar-based plaque assays and broth microdilution checkerboard assays. Plaque diameter and plaque number were evaluated at sub-MIC concentrations, whereas synergistic interactions were determined by the fractional inhibitory concentration index (FICI). Statistical significance was analyzed using one-way ANOVA followed by Dunnett’s multiple comparison test, and the association between plaque parameters and FICI values was explored using Spearman’s rank correlation. The isolated phage exhibited a burst size of approximately 259 PFU per infected cell and remained stable over a broad pH and temperature range, with significant reductions under highly acidic, highly alkaline, and high-temperature conditions. In agar-based assays, colistin, meropenem, and cinnamaldehyde significantly increased plaque diameter and/or plaque number (p < 0.05-0.001), depending on the bacterial strain tested. Checkerboard analysis identified the same four combinations as synergistic (FICI ≤ 0.5). Spearman’s rank correlation indicated a relationship between plaque parameters and FICI values. Overall, both methods identified the same synergistic combinations, suggesting that agar-based plaque assays may serve as a practical preliminary screening tool for phage-antimicrobial combinations, although further validation is required.

PMID:42518223 | DOI:10.1093/lambio/ovag065

Categories
Nevin Manimala Statistics

Documented infectious disease outbreak records on ocean and expedition cruise ships, 1993-2026

J Travel Med. 2026 Jul 28:taag068. doi: 10.1093/jtm/taag068. Online ahead of print.

NO ABSTRACT

PMID:42518221 | DOI:10.1093/jtm/taag068

Categories
Nevin Manimala Statistics

Disentangling Mature Cow Weight and Body Condition Score: A Comparative Single-Step GWAS of Phenotypic Pre-adjustment vs. Recursive Modeling

J Anim Sci. 2026 Jul 28:skag231. doi: 10.1093/jas/skag231. Online ahead of print.

ABSTRACT

Mature cow weight (MWT) is a trait genetically correlated with body condition score (BCS). Previous research has shown that sire rankings can shift depending on how BCS is accounted for, indicating that different modeling strategies can influence selection outcomes. The recursive modeling approach has been established as a method for obtaining MWT that is genetically independent of BCS, providing an alternative to phenotypic pre-adjustment. The objective of this study was to determine whether different modeling approaches capture different genetic architectures or merely produce statistical artifacts. Genome-wide association studies (GWAS) and functional genomic analyses were performed to compare the genomic architecture of phenotypically pre-adjusted MWT (MWTadj) with MWT that is genetically independent of BCS, obtained using the recursive approach (MWTRM). A total of 42 significant SNP across 8 chromosomes were identified for MWTadj and 44 SNP across 9 chromosomes for MWTRM, with 28 SNP shared between models. These variants corresponded to 107 annotated genes in MWTadj and 137 in MWTRM, including 62 shared genes. Major association signals were concentrated on BTA20, BTA7, and BTA14 for both models, with all significant SNP jointly explaining 3.93% of the total additive genetic variance for MWTadj and 4.29% for MWTRM. The Pearson correlation coefficient of estimated SNP effects between the models was 0.76, while the correlation of genomic estimated breeding values was 0.87. Compared to MWTadj, which shared 19 genes with unadjusted MWT, the MWTRM shared 33 genes. In addition, 28 of the 31 pathways identified for MWTRM were also identified for unadjusted MWT, whereas no Gene Ontology pathways were shared between MWTadj and unadjusted MWT. The MWTRM was associated with genes annotated to growth, skeletal development, feed efficiency, and carcass-related traits, whereas MWTadj identified a distinct set of genes and pathways. Despite these differences, MWTadj and MWTRM converged on similar core biological signals, highlighting that they effectively capture the primary genetic drivers of MWT independent of BCS.

PMID:42518219 | DOI:10.1093/jas/skag231

Categories
Nevin Manimala Statistics

Beyond Invariable Sites: Using Evolutionary Stasis to Map Multi-Layered Constraints on the Evolution of Viral and Mammalian Genomes

Genome Biol Evol. 2026 Jul 28:evag184. doi: 10.1093/gbe/evag184. Online ahead of print.

ABSTRACT

The quantification of genomic conservation has progressed from foundational statistical modeling of evolutionary rates to state-of-the-art deep learning architectures. However, a major resolution gap remains at the zero-rate origin, where standard selection inference tools fail to distinguish between sites that are invariant due to chance (stochastic invariance) or low substitution opportunity, and those that are invariant due to extreme purifying selection. We present B-STILL (Bayesian Significance Test of Invariant Low Likelihoods), a hierarchical Bayesian framework designed to resolve the selective landscape of protein-coding genes near the zero-rate limit. By leveraging gene-level rate distributions (prior calibration) and modeling codon-site specific substitution opportunities (determined by genetic code degeneracy and nucleotide substitution biases), B-STILL quantifies the statistical significance of observed stasis. We define a rate-based stasis threshold to identify Evolutionary Stasis Anchors (ESAs)-sites where the upper bound on the evolutionary rate is statistically constrained relative to the background rate of the gene due to extreme purifying selection. Validation against clinical and pathogen datasets confirms that ESAs are strong predictors of biological fitness and pathogenicity. Applying B-STILL across viral and mammalian genomes, we identify thousands of significantly clustered ESAs that map to known functional domains and uncharacterized structural motifs. These results establish B-STILL as a scalable, statistically rigorous framework for high-resolution genomic annotation, converting previously uninformative invariant sites into precise markers of extreme evolutionary constraint.

PMID:42518208 | DOI:10.1093/gbe/evag184