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Nevin Manimala Statistics

Newspaper framing of food poverty and insecurity on the island of Ireland

Health Promot Int. 2025 Oct 30;40(6):daaf206. doi: 10.1093/heapro/daaf206.

ABSTRACT

Given that news media play key roles in shaping public and policy responses to food poverty and insecurity, this study analysed how newspapers frame these issues across the island of Ireland, comparing coverage between jurisdictions (Republic of Ireland and Northern Ireland) and newspaper types (national versus regional/local). Using LexisNexis and Irish Newspaper Archives, we searched for articles containing ‘food poverty’ or ‘food insecurity’ published between January 2018 and January 2023. We used Entman’s framing theory to code articles for problem definitions, causal interpretations, solutions, moral evaluations, and social actors. Analysis of 80 articles from 14 newspapers revealed coverage peaked during school holiday periods (December and Summer), reinforcing episodic attention to ‘holiday hunger’. Although structural causes appeared in 66% of articles-including inadequate income, living costs, and welfare failures-proposed solutions were predominantly charitable (79%) rather than structural (39%), with food banks cited most frequently. National newspapers more frequently discussed structural causes and policy solutions, while regional publications focused on charitable responses. Articles predominantly featured voices from charities (88%) and government officials (50%), while only 10% incorporated voices from those experiencing food poverty and insecurity. This disconnect between acknowledged structural causes and proposed charitable solutions perpetuates normalization of food poverty and insecurity, obscuring state responsibility for ensuring the right to adequate food. Such framing impedes recognition that this issue in wealthy nations results from political choices requiring systemic reform, not charitable intervention.

PMID:41308116 | DOI:10.1093/heapro/daaf206

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Nevin Manimala Statistics

DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator

IEEE Trans Image Process. 2025 Nov 27;PP. doi: 10.1109/TIP.2025.3635025. Online ahead of print.

ABSTRACT

Deep neural networks pre-trained on ImageNet have demonstrated remarkable transferability for developing effective full-reference image quality assessment (FR-IQA) models. However, existing approaches typically demand pixel-level alignment between reference and distorted images-a requirement that poses significant challenges in practical scenarios involving natural photography and texture similarity evaluation. To address this limitation, we propose a novel FR-IQA model leveraging deep statistical similarity derived from pre-trained features without relying on spatial co-location of these features or requiring fine-tuning with mean opinion scores. Specifically, we employ distance correlation, a potent yet relatively underexplored statistical measure, to quantify similarity between reference and distorted images within a deep feature space. The distance correlation is computed via the ratio of the distance covariance to the product of their respective distance standard deviations, for which we derive a closed-form solution using the inner product of deep double-centered distance matrices. Extensive experimental evaluations across diverse IQA benchmarks demonstrate the superiority and robustness of the proposed model. Furthermore, we demonstrate the utility of our model for optimizing texture synthesis and neural style transfer tasks, achieving state-of-the-art performance in both quantitative measures and qualitative assessments. The implementation is publicly available at https://github.com/h4nwei/DeepDC.

PMID:41308106 | DOI:10.1109/TIP.2025.3635025

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Nevin Manimala Statistics

Enhancing Slice-Wise Brain MRI Tasks using Self-Supervised and Auxiliary Learning

IEEE J Biomed Health Inform. 2025 Nov 27;PP. doi: 10.1109/JBHI.2025.3637752. Online ahead of print.

ABSTRACT

A recurrent challenge in medical image processing using deep learning is the need for large labeled datasets to solve clinically relevant tasks. Such data is difficult to obtain because it often requires a high level of professional specialization and significant time investment. Self-supervised learning (SSL) allows models to learn task-agnostic feature representations from unlabeled data prior to the use of task-specific labeled samples to solve downstream tasks. In this work, we focus on the tasks of craniopharyngioma recognition (CPGR) and detection of hypothalamic involvement (DHI). We compare the results obtained by a 2D convolutional network in these tasks using supervised learning, to those obtained using SSL plus fine-tuning. Three SSL methods are tested: SimCLR, Decoupled Contrastive Learning (DCL), and Variance-Invariance-Covariance Regularization (VICReg), using slices from structural brain magnetic resonance imaging (MRI). We also introduce Slice-Wise Regularization (SWR), a novel auxiliary learning task designed to prevent the model from decorrelating representations of contiguous slices when solving tasks using brain MRI datasets. A relevant aspect of the proposed auxiliary method is that it does not require any extra human-made annotations, and it leverages intrinsic structural properties of MRI. We compare the performances of different configurations of our proposed method using SSL and SWR on both downstream tasks with those obtained using supervised learning. We obtained statistically significant improvements with our method (SSL + SWR), achieving F1-scores of 80.3 $pm$ 2.4 for CPGR and 82.8 $pm$ 5.0 for DHI, in comparison to 74.4 $pm$ 4.9 for CPGR and 65.4 $pm$ 6.5 for DHI, when using supervised learning.

PMID:41308094 | DOI:10.1109/JBHI.2025.3637752

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Nevin Manimala Statistics

Adaptive sample size re-estimation designs for a two-stage randomized trial with binary outcome

Stat Methods Med Res. 2025 Nov 27:9622802251399914. doi: 10.1177/09622802251399914. Online ahead of print.

ABSTRACT

A parallel randomized trial is frequently used to investigate the treatment effectiveness as compared to the gold standard. In early phase trials, a group sequential design has the potential to reduce the expected sample size as compared to the traditional one-stage design, and protect participants when a new treatment is not as effective as expected. When the outcome is binary, a group sequential design based on exact binomial distribution is preferable as compared to the asymptotic limiting distribution. To improve the design efficiency, we propose to develop new parallel two-stage adaptive design and promising zone design allowing sample size adjustment in the second stage based on the outcome from the first stage. The conditional probability is guaranteed in the proposed designs when a trial proceeds to the second stage. All these designs control the type I error rate, but only the proposed two designs guarantee the conditional probability constraint. We used a real example from a completed cancer trial to illustrate the application of the proposed designs. The adaptive design substantially increases unconditional power but requires a large sample size as compared to the group sequential design. The promising zone design achieves a good balance between statistical power and the expected sample size.

PMID:41308079 | DOI:10.1177/09622802251399914

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Nevin Manimala Statistics

Changing Epidemiology of Lung Cancer in Finland: A Registry-Based Study by Histology and Region

Cancer Control. 2025 Jan-Dec;32:10732748251401264. doi: 10.1177/10732748251401264. Epub 2025 Nov 27.

ABSTRACT

IntroductionThe national epidemiology of lung cancer (LC) in Finland, subdivided by histology and regional data, has not yet been studied in detail. This study examines the incidence, mortality, and mortality-to-incidence ratios (MIR) of LC and its subtypes in men and women during 2000-2019 in different regions of Finland.MethodsAn observational register-based study was conducted using nationwide data from the Finnish Cancer Registry (FCR). The cases were classified into adenocarcinoma (ADC), squamous cell carcinoma (SQC), small cell lung carcinoma (SCLC), and other and unknown histological types. The incidence and mortality were explored nationwide and separately in the 5 collaborative areas for healthcare and social welfare. MIR were used to estimate survival.ResultsThe incidence and mortality of LC declined in men (78.6 to 25.9/100 000) but increased in women (5.0 to 15.1). The incidence of ADC increased from 4.4 to 7.2, while SQC and SCLC decreased from 5.0 to 3.6 and 3.5 to 3.0. The incidence of ADC increased in men and women, surpassing SQC as the most common histology with varying regional pace. The incidence of SQC and SCLC decreased in men but increased in women. MIR showed similar regional improvements to LC survival for ADC and SQC, but not for SCLC.ConclusionThe Finnish LC rates changed slowly from a predominantly SQC and SCLC histology to ADC being the most common LC type. Sex-specific LC rates are converging nationwide. This study reports detailed Finnish LC data to inform future research and public health efforts.

PMID:41308077 | DOI:10.1177/10732748251401264

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Nevin Manimala Statistics

Relationships among core endurance, lower limb strength, and dynamic balance in collegiate football players: A cross-sectional study

J Back Musculoskelet Rehabil. 2025 Nov 27:10538127251400428. doi: 10.1177/10538127251400428. Online ahead of print.

ABSTRACT

BackgroundCore endurance and lower limb strength are frequently targeted in sports performance and injury prevention programs, However, their independent and combined influence on dynamic balance remains inadequately understood among collegiate football players.ObjectiveTo examine the relationships among core endurance, lower limb isometric strength, and dynamic balance performance in collegiate male football playersMethodsSixty healthy athletes (aged 18-25 years) completed core endurance tests, isometric strength assessments using handheld dynamometry for the hip, knee, and ankle, and the Modified Star Excursion Balance Test (mSEBT). Pearson’s correlation and multiple linear regression analyses were conducted to examine associations and identify predictors of dynamic balance. Multiple linear regression focused on posteromedial reach score of the right leg as the primary outcome.ResultsLeft ankle invertor strength had significant positive correlations with posteromedial (r = 0.47, p < 0.001) and posterolateral (r = 0.37, p = 0.004) SEBT reach distances, while trunk flexor endurance was a statistically significant inverse predictor of balance performance (β = -0.456, p = 0.001). The final regression model explained 20.4% of the variance in posteromedial reach performance (adjusted R² = 0.150, p = 0.008).ConclusionThese findings underscore that dynamic balance in collegiate football players may depend more on specific distal joint strength and neuromuscular coordination than on overall core endurance, highlighting the importance of targeted ankle invertor and dynamic core stability training for injury prevention.

PMID:41308067 | DOI:10.1177/10538127251400428

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Nevin Manimala Statistics

Oral Methods of Microbiota Manipulation for Depression Symptoms: A Systematic Review: Méthodes orales de manipulation du microbiote pour traiter les symptômes de dépression : Une revue systématique

Can J Psychiatry. 2025 Nov 27:7067437251394369. doi: 10.1177/07067437251394369. Online ahead of print.

ABSTRACT

ObjectiveThe effectiveness of current treatment options for depressive symptoms has been widely investigated with acknowledgment that some patients were either not adequately responding to treatment, finding the existing treatment intolerable, or otherwise prefer alternative options. There is increasing interest in microbiota modulation as an alternate form of depression treatment, with a growing number of trials and reviews on the subject published in the last five years. This systematic review aimed to analyze all completed randomized control trials (RCTs) that assessed depression symptoms in adults not using antidepressants, before and after oral methods of microbiota manipulation.MethodAll completed parallel-arm RCTs that assessed depression symptoms in adult participants before and after oral methods of microbiota manipulation were retrieved from four databases, MEDLINE, Embase, PsycINFO, and Cochrane Central Register of Controlled Trials. Data on study and intervention characteristics as well as RCT conclusions were collected independently and in duplicate, and each study’s findings were summarized individually. Risk of bias was completed.ResultsWe included 66 RCTs in our review, 34 of which concluded significant differences between the intervention and control group in depressive symptom using different interventions and measures. Of the 66 trials, 54 used probiotic interventions, seven used prebiotic, eight used synbiotic and two used oral fecal microbiota transplantation. Wide variation was observed in studies’ design, intervention composition and consumption methods across all 66 RCTs. No statistical synthesis or meta-analyses were possible due to the wide variety of interventions, measures and outcomes.ConclusionsThe heterogeneity of the existing RCTs did not allow for concrete conclusions on whether oral microbiota manipulation interventions are viable alternative treatment options for adults experiencing depression symptoms. We encourage the development of standardized guidelines for the design and reporting of microbiota studies in depression for the possibility of future intervention efficacy testing.

PMID:41308055 | DOI:10.1177/07067437251394369

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Nevin Manimala Statistics

Exploring the attitudes toward receiving information on potential negative effects of psychological treatments: A mixed-methods study

Psychother Res. 2025 Nov 27:1-13. doi: 10.1080/10503307.2025.2592967. Online ahead of print.

ABSTRACT

ABSTRACTObjective: Potential negative effects of psychological treatments are recognized in research, yet the attitudes toward their disclosure during the informed consent procedure remain unexplored. This study examined individuals’ perception of receiving such information, investigating the awareness regarding deterioration, non-response, and new symptoms, and how this knowledge affects willingness to initiate treatment. Method: A mixed-method approach was used in relation to an online survey of adults in Sweden (N = 500, 75.6% women, age M = 38.2), including both individuals with (76.6%) and without prior experience of psychological treatments. Descriptive statistics, t-tests, one-way ANOVA, and Pearson’s correlation tests were conducted to explore factors that might affect the willingness to initiate treatment, while thematic analysis was employed for open-ended responses. Results: The majority (72%) of respondents favored being informed, emphasizing the importance of transparency, realistic expectations, and preparedness. Common concerns included increased anxiety and hesitation toward treatment. No variable was related to the willingness to initiate treatment. Conclusion: Most respondents preferred disclosure of potential negative effects. Clinicians should incorporate information about potential negative effects into the informed consent procedure, balancing risks and benefits and explain the nocebo effect, thereby enhancing patient engagement, trust, and willingness to engage in treatment.

PMID:41308053 | DOI:10.1080/10503307.2025.2592967

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Nevin Manimala Statistics

Current and Future Utilization of Optical Genome Mapping: Insights From the 2024 College of American Pathologists Supplemental Questionnaire

Arch Pathol Lab Med. 2025 Nov 27. doi: 10.5858/arpa.2025-0472-CP. Online ahead of print.

ABSTRACT

CONTEXT.—: Optical genome mapping (OGM) represents a promising cytogenomic technology that detects structural variants, including fusions, rearrangements, copy number variants, and loss of heterozygosity, in a single assay. Unlike karyotyping, fluorescence in situ hybridization, or chromosomal microarray, OGM leverages long-molecule imaging to map the whole genome with high resolution. This positions OGM as a novel tool for constitutional and somatic/cancer genomics. However, its current and planned utilization in clinical and research settings remains unknown, necessitating further investigation.

OBJECTIVE.—: To investigate the current utilization of OGM in clinical and research laboratories, assess its applications, and evaluate future utilization strategies.

DESIGN.—: In 2024, a supplemental questionnaire was incorporated into 6 College of American Pathologists proficiency testing programs to evaluate OGM’s utilization.

RESULTS.—: Of 921 returned questionnaires, 712 were analyzed after duplicates were removed. Sixty-seven (9.4%) currently offered OGM testing: 5.2% (37) for research only, 1.8% (13) for only clinical use, and 2.4% (17) for both. Future adoption plans showed 7.6% (53 of 700 laboratories) and 7.9% (55 of 700 laboratories) aiming to implement OGM clinically within 12 and 24 months, respectively. The most common applications included hematologic malignancies and constitutional/germline postnatal disorders, followed by prenatal testing. International laboratories demonstrated statistically higher utilization rates than domestic laboratories (P = .001).

CONCLUSIONS.—: This first survey on OGM clinical utilization reveals its status as a niche technology, with 67 laboratories currently using it. Its primary clinical applications are in constitutional/germline analysis and hematologic malignancies. Although international laboratories led in 2024, 108 laboratories (domestic and international) plan clinical adoption within 24 months, signaling OGM’s potential for broader integration.

PMID:41308031 | DOI:10.5858/arpa.2025-0472-CP

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Nevin Manimala Statistics

Identifying Patterns of Late Effects With Latent Class Analysis Among Adolescent and Young Adult Thyroid Cancer Survivors in California and Utah

Cancer Med. 2025 Dec;14(23):e71316. doi: 10.1002/cam4.71316.

ABSTRACT

INTRODUCTION: Thyroid cancer is one of the most common cancers in adolescents and young adults (AYA, 15 to 39 years), with an excellent 5-year survival of 98%. However, treatments for thyroid cancer such as radioactive iodine and thyroid hormone suppression may increase the risk for multiple late effects (LEs). We investigated the incidence of severe LE that clustered in AYA thyroid cancer survivors in a large population-based cohort.

METHODS: California and Utah Cancer Registry records identified AYAs diagnosed with first thyroid cancer during 2006-2018 linked to statewide hospitalization, ambulatory surgery, and emergency department data. Cohort entry began 2 years from diagnosis. Severe LE included cardiovascular, respiratory, renal, and liver diseases, diabetes, and second cancers. Cumulative incidence of each LE, accounting for the competing risk of death, was calculated. Latent class analysis (LCA) identified clustering of LE over the study period. The number of LE classes was identified by selecting models with the lowest likelihood-ratio G2 statistic, Akaike’s Information Criterion, and Bayesian Information Criterion. Probabilities of each LE are presented in each class.

RESULTS: Of 14,268 survivors, median follow-up time was 7 years. The LCA model identified 3 classes: 88% with low LEs, 9% experiencing moderate LEs with elevated probability of diabetes, liver, and respiratory conditions, and the remaining 3% experiencing the highest probability of all LEs, including cardiovascular disease. Non-Hispanic (nH)-Black and Hispanic survivors, those on public insurance, residing in lower socioeconomic status neighborhoods, or diagnosed with distant stage disease experience greater odds of being in the moderate and cardiovascular classes.

CONCLUSION: While most survivors of AYA thyroid cancer have a low incidence of LEs, a small proportion have a high probability of multiple morbidities. Multidisciplinary survivorship care should include identifying and supporting thyroid cancer survivors at higher risk for developing multiple LEs through early screening.

PMID:41308028 | DOI:10.1002/cam4.71316