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Nevin Manimala Statistics

Multicultural Counseling Self-Efficacy and Professional Quality of Life Among Behavioral Health Professionals in Training Working with BIPOC and LGBTQ+ Youth

J Evid Based Soc Work (2019). 2026 Feb 1:1-27. doi: 10.1080/26408066.2026.2623443. Online ahead of print.

ABSTRACT

PURPOSE: BIPOC and LGBTQ+ youth experience disproportionately worse mental health outcomes, partially due to a lack of culturally responsive practices and multicultural counseling self-efficacy among behavioral health professionals. Separately, professional quality of life (ProQOL) has also been linked to better client outcomes. However, little is known about the relationship between behavioral health professionals’ multicultural counseling self-efficacy, culturally competent behaviors, and ProQOL. This study aimed to examine the relationship between cultural competence and ProQOL, as well as a hypothesized indirect role of multi-cultural counseling self-efficacy among these associations.

MATERIALS AND METHODS: Data were collected from a workforce training program among graduate level social work, psychology, and nursing students on culturally responsive practices whose practicum settings included working with BIPOC/LGBTQ+ youth. At baseline (T1), graduation (T2), and 9-months post-graduation (T3), participants (N = 113) completed measures on anti-racism, self-reflection and insight, intercultural communication, multicultural counseling self-efficacy, and ProQOL (compassion satisfaction, burnout, secondary trauma).

RESULTS: Intercultural communication at T2 had a significant indirect effect on the relationship between multicultural counseling self-efficacy at T2 and burnout at T3. Self-reflection and insight at T2 also had a significant indirect effect on the relationship between multicultural counseling self-efficacy at T2 and burnout at T3. Mediation models examining secondary traumatic stress and compassion satisfaction were not statistically significant.

DISCUSSION: Results suggest the importance of cultural competencies and multicultural counseling self-efficacy in facilitating culturally responsive practices and promoting clinicians’ ProQOL.

CONCLUSION: Future trainings should emphasize these areas to minimize mental health disparities among LGBTQ+ and BIPOC youth.

PMID:41620841 | DOI:10.1080/26408066.2026.2623443

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Nevin Manimala Statistics

Assessment of tools for the diagnosis of malnutrition and overall survival in adults diagnosed with oral squamous cell carcinoma: A comparison study

JPEN J Parenter Enteral Nutr. 2026 Jan 31. doi: 10.1002/jpen.70061. Online ahead of print.

ABSTRACT

BACKGROUND: The Global Leadership Initiative on Malnutrition (GLIM) criteria have been suggested for use in clinical practice for multiple tumor types, but there are currently no data on the effectiveness of tools for the diagnosis of malnutrition in patients with oral squamous cell carcinoma.

METHODS: A retrospective study was conducted including 317 patients who underwent radical surgery for oral squamous cell carcinoma between October 2021 and May 2024. Six preoperative nutrition assessment tools were included: the GLIM criteria, Patient-Generated Subjective Global Assessment, European Society for Clinical Nutrition and Metabolism criteria, Prognostic Nutritional Index, Nutritional Risk Index, and body mass index.

RESULTS: Multivariate Cox proportional hazards models indicated that severe malnutrition identified by GLIM (hazard ratio [HR], 2.10; 95% CI, 1.01-4.36; P = 0.04) and the GLIM subcriteria combination of weight loss and cancer (HR, 7.30; 95% CI, 2.98-17.89; P < 0.001) were independent predictors of overall survival. The GLIM subcriteria combination of weight loss and cancer (Brier score, 0.096; C statistics [0.80; 95% CI, 0.74-0.85]) had the best predictive performance for overall survival.

CONCLUSION: The GLIM criteria have predictive value for diagnosing preoperative malnutrition in patients with oral squamous cell carcinoma. However, the GLIM subcriteria combination of weight loss and cancer offers greater advantages in prognostic prediction and may be useful for risk stratification and guidance for nutrition interventions in patients with oral squamous cell carcinoma.

PMID:41620828 | DOI:10.1002/jpen.70061

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Nevin Manimala Statistics

Neo-Gibbsian Statistical Energetics with Applications to Nonequilibrium Cells

Biophys J. 2026 Jan 30:S0006-3495(26)00057-3. doi: 10.1016/j.bpj.2026.01.042. Online ahead of print.

ABSTRACT

Generalization through novel interpretations of the inner logic of the century-old Gibbs’ statistical thermodynamics is presented: i) Identifying kB → 0 as classical energetics without fluctuations, one directly derives a pair of thermodynamic variational formulae [Formula: see text] ,that dictate all the more familiar 1/T = dS(E)/dE, E = d{F(T)/T}/d(1/T), and S(E) = -dF(T)/dT in equilibrium, which is maintained by a duality symmetry with one-to-one relation between Teq(E) = arg minT{E/T – F(T)/T} and Eeq(T) = arg minE{E – TS(E)}. ii) In contradistinction, taking derivative of Gibbs’ statistical free energy w.r.t. T, a mesoscopic energetics with fluctuations emerges: This yields two information entropy functions which historically appeared 50 years postdate Gibbs’ theory. iii) Combining the above pair of inequalities yields an irreversible thermodynamic potential ψ(T, E) ≡{E – F(T)}/T – S(E) ≥ 0 for nonequilibrium states. The second law of thermodynamics as a universal principle reflects ψ ≥ 0 due to a disagreement between E and T as a dual pair. Our theory provides a new energetics of living cells which are nonequilibrium, complex entities under constant T, pressure p and chemical potentials μ1, μ2, etc., with sustained μ1 – μ2 ≠ 0. ψ provides a “distance” between statistical data from a large ensemble of cells and a set of intrinsic energetic parameters that encode the information within.

PMID:41620826 | DOI:10.1016/j.bpj.2026.01.042

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Nevin Manimala Statistics

Dataset on service access, socio‑economic status, and rehabilitation needs among persons with disabilities in China

BMC Res Notes. 2026 Jan 31. doi: 10.1186/s13104-026-07686-w. Online ahead of print.

ABSTRACT

OBJECTIVES: The dataset was collected to provide a comprehensive overview of service utilization, socio-economic conditions, and rehabilitation needs among registered persons with disabilities in Changchun, China. It aims to address the lack of large-scale, individual-level data in this field and to support research on disability inclusion, welfare systems, and social policy development.

DATA DESCRIPTION: The dataset contains records for 197,302 registered persons with disabilities gathered in 2020 via telephone interviews supplemented by in-person visits. It comprises 155 variables across seven domains: demographics; economic conditions; internet access and use; employment and skills; medical and rehabilitation services and assistive products and technology; accessible environment; and cultural and sports participation. Anonymized data, raw tables, and a detailed codebook are openly available on Harvard Dataverse [15]. The resource enables fine-grained analyses of urban-rural and district heterogeneity, functional-limitation patterns, and gaps between required and received services. It also supports the construction of equity-sensitive indicators, multivariable and multilevel models of service utilization, and benchmarking for programmed monitoring. The cross-sectional design and a focus on certificate holders should be considered when interpreting results, yet the scale and coverage make the dataset valuable for comparative studies and careful linkage with public statistics under appropriate safeguards.

PMID:41620800 | DOI:10.1186/s13104-026-07686-w

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Nevin Manimala Statistics

Association of peripheral insulin resistance with cognitive impairment in patients with non-disabling ischemic cerebrovascular events and the mediating role of chronic inflammatory biomarkers

Eur J Med Res. 2026 Jan 31. doi: 10.1186/s40001-026-03916-w. Online ahead of print.

ABSTRACT

BACKGROUND: Insulin resistance and chronic inflammation are closely associated with cognitive impairments. This study systematically investigates the relationship between biomarkers of insulin resistance/chronic inflammation and cognitive dysfunction in patients with non-disabling ischemic cerebrovascular events (NICE).

METHODS: We collected demographic information and clinical data from 236 patients with NICE. Based on Montreal Cognitive Assessment (MoCA) scores, participants were categorized into normal cognitive function (NCF) and VCI groups. Propensity score matching (PSM) was applied to balance baseline characteristics. Differences in chronic inflammatory markers and insulin resistance levels were compared between groups. LASSO regression was used to identify independent risk factors, while restricted cubic spline (RCS) analysis was performed to validate dose-response relationships. A nomogram model was constructed using LASSO-selected predictors, and its performance was evaluated by ROC curves, calibration plots, and decision curve analysis (DCA). Internal validation was performed through simple cross-validation, with both accuracy and Kappa statistics reported.

RESULTS: Among 236 NICE patients, 115 (48.73%) were diagnosed with VCI. Following propensity score matching, the VCI group exhibited significantly higher levels of insulin resistance and chronic inflammation compared to the NCF group. LASSO regression identified the metabolic score for insulin resistance (METS-IR) as an independent risk factor for cognitive impairment (OR = 1.11, 95% CI: 1.06-1.17). RCS confirmed a linear negative correlation between METS-IR and MoCA scores (P for overall = 0.014, P for non-linear = 0.715). Mediation analysis revealed that the systemic Immune-Inflammation Index (SII) partially mediated the association between METS-IR and MoCA scores. The nomogram model demonstrated good discrimination (AUC = 0.78, 95% CI: 0.72-0.83), with calibration plots showing high consistency between predicted and observed probabilities (Hosmer-Lemeshow test P = 0.718). DCA confirmed a favorable clinical net benefit. Cross-validation results demonstrated favorable model accuracy and consistency (accuracy = 0.71, Kappa value = 0.43).

CONCLUSIONS: Cognitive impairment in NICE patients is strongly associated with elevated insulin resistance and chronic inflammation. METS-IR exhibits a linear negative association with cognitive function, serving as an independent risk predictor. The constructed nomogram provides a reliable tool for early VCI detection with robust discrimination and calibration. Notably, SII partially mediates the association between METS-IR and cognition, highlighting inflammatory pathways as a candidate target for future interventional studies.

PMID:41620791 | DOI:10.1186/s40001-026-03916-w

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Nevin Manimala Statistics

Social, psychosocial, and lifestyle determinants of diabetes and prediabetes in US adults before and after COVID-19: a cross-sectional NHANES analysis

Diabetol Metab Syndr. 2026 Jan 31. doi: 10.1186/s13098-026-02100-8. Online ahead of print.

NO ABSTRACT

PMID:41620786 | DOI:10.1186/s13098-026-02100-8

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Nevin Manimala Statistics

Monocyte-to-HDL ratio (MHR) is associated with overall and renal mortality in community-dwelling older individuals with chronic kidney disease (CKD)

J Transl Med. 2026 Jan 31. doi: 10.1186/s12967-026-07745-7. Online ahead of print.

NO ABSTRACT

PMID:41620778 | DOI:10.1186/s12967-026-07745-7

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Nevin Manimala Statistics

The association of survival with adjuvant chemotherapy in patients with ypTNM stage I gastric cancer after neoadjuvant chemotherapy

World J Surg Oncol. 2026 Jan 31. doi: 10.1186/s12957-026-04224-7. Online ahead of print.

ABSTRACT

BACKGROUND: Neoadjuvant chemotherapy (NAC) combined with gastrectomy has been a standard therapeutic strategy for resectable gastric cancer (GC). However, it remains unclear whether postoperative adjuvant chemotherapy (AC) brings better survival in ypTNM stage I GC patients.

METHODS: Data on ypTNM stage I GC patients with or without AC following systemic NAC and radical gastrectomy were retrospectively retrieved from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2021. Inverse probability of treatment weighting (IPTW) was used to balance covariates. Overall survival (OS) and cancer-specific survival (CSS) were assessed through Kaplan-Meier and Cox proportional hazards models. Two nomograms were developed to predict OS and CSS of patients with ypTNM stage I GC who received AC.

RESULTS: 661 patients met the inclusion criteria, 230 received AC and 431 were AC nonuser. AC was significantly associated with improved OS (weighted HR = 0.63, 95% CI: 0.43-0.92) but not statistically significant for CSS (weighted HR = 0.73, 95% CI: 0.46-1.17) after IPTW adjustment. Age, tumor diameter, and primary site were also independent predictors of survival. Subgroup analysis revealed that patients with non-proximal GC benefitted more from AC. The survival prediction models demonstrated good calibration and discrimination, with the C-indexes for OS were 0.75 and 0.79 for CSS.

CONCLUSION: Patients with ypTNM stage I GC might benefit from postoperative AC compared with non-AC. Nomograms showed better predictive value for evaluating the prognosis of ypTNM stage I GC patients who received AC.

PMID:41620751 | DOI:10.1186/s12957-026-04224-7

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Nevin Manimala Statistics

Models for analyzing territorial inequalities in hospitals for health sustainability: evidence from Italian regions

Popul Health Metr. 2026 Jan 31. doi: 10.1186/s12963-026-00455-8. Online ahead of print.

ABSTRACT

This study investigates territorial disparities in healthcare outcomes and service provision across Italian regions through a multidimensional analysis based on the BES (Equitable and Sustainable Well-being) framework. Two distinct but complementary sets of indicators are considered: one focusing on health outcomes (life expectancy, healthy life expectancy, and avoidable mortality), and the other on the structural availability and accessibility of healthcare services (residential beds, home care, access difficulties, and unmet needs). Using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, the study identifies spatial clusters of regions with similar profiles. Results reveal persistent North-South divides in both health and service indicators, with southern regions consistently exhibiting lower performance. While the Health dataset shows relatively homogeneous clusters, the Services dataset highlights more marked disparities. The use of DBSCAN proves effective in detecting regional groupings even in a relatively small sample, offering a valuable tool for territorial policy planning and sustainability-oriented healthcare strategies.

PMID:41620739 | DOI:10.1186/s12963-026-00455-8

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Nevin Manimala Statistics

A multiple joint morphometric analysis of female patients with progressive collapsing foot deformity: a cross-sectional study

J Orthop Surg Res. 2026 Jan 31. doi: 10.1186/s13018-026-06670-1. Online ahead of print.

ABSTRACT

OBJECTIVE: Progressive collapsing foot deformity is a complex clinical presentation of combined deformities, which affects articular joint relationships. Herein, the study aimed to characterize joint interactions of the ankle, tibiofibular, talofibular, subtalar, talonavicular, calcaneocuboid, naviculo-cuneiform, and tarso-metatarsal joints.

MATERIALS AND METHODS: We quantified and compared the results between 23 female patients with progressive collapsing foot deformity and 23 female asymptomatic individuals. We used a multi-domain correspondence model from statical shape modeling to compare the alignment and morphology followed by calculating the joint-level measurements including the joint space distance and the congruence index between groups.

RESULTS: From our results we found that almost all bones and joints were affected by the progressive collapsing foot deformity. Our main results for joint space distances were narrowing in the sinus tarsi, gapping at the medial of the calcaneocuboid joint, and narrowing at the 3rd, 4th, and 5th tarso-metatarsal joints. The primary results for the congruence index were shifted to the lateral side in the talonavicular joint and a less congruent middle facet of the subtalar joint in the progressive collapsing foot deformity group. In addition, the joint space distance was mainly influenced by alignment, and the congruence index was influenced by bone morphology.

CONCLUSION: We believe that assessing multi-joint interactions in progressive collapsing foot deformity will lead to a better understanding of the pathophysiology and assist in surgical treatment planning.

PMID:41620735 | DOI:10.1186/s13018-026-06670-1