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Nevin Manimala Statistics

An evolutionary perspective on beautification: attractiveness, autonomy, and connectedness in men’s romantic judgment across mating contexts

Front Psychol. 2026 Jul 31;17:1898205. doi: 10.3389/fpsyg.2026.1898205. eCollection 2026.

ABSTRACT

INTRODUCTION: Dress can be considered a visible and flexible form of female beautification that may communicate attractiveness as well as social and relational cues. However, less is known about how men interpret dress-based beautification cues when evaluating women as potential romantic partners across different mating contexts. The present study examined whether perceived attractiveness, autonomy, and connectedness derived from female dress jointly predict men’s romantic judgment and whether these associations differ between short-term and long-term relationship contexts.

METHODS: A between-subjects design was used in which heterosexual male participants (N = 405) were randomly assigned to either a short-term or long-term romantic evaluation condition. They rated ten female dress stimuli on attractiveness, autonomy, connectedness, and romantic judgment, yielding 4,050 observations. Data was analyzed using cross-classified linear mixed-effects models with all continuous predictors double-centered to remove between-participant and between-stimulus mean differences.

RESULTS: Relationship context moderated the associations with attractiveness and autonomy; attractiveness was more influential in short-term judgment, whereas autonomy showed a stronger association in long-term judgment. The interaction for connectedness was in the predicted direction but did not reach statistical significance.

CONCLUSION: These findings suggest that dress-based cues are weighed differently across mating contexts. Attractiveness, autonomy, and connectedness converge to predict romantic judgments, with varying differences depending on the mating context.

PMID:42602027 | PMC:PMC13473000 | DOI:10.3389/fpsyg.2026.1898205

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Nevin Manimala Statistics

Clinical and biochemical phenotypes of Lean MAFLD: machine learning-based biomarker identification and statistical association analysis in a cross-sectional study

Front Public Health. 2026 Jul 31;14:1835144. doi: 10.3389/fpubh.2026.1835144. eCollection 2026.

ABSTRACT

BACKGROUND: Metabolic dysfunction-associated fatty liver disease (MAFLD) presents a significant public health issue in China. The “lean” subtype (L-MAFLD) accounts for a certain proportion of cases but is frequently underrecognized in primary care due to the absence of visible obesity. Its distinct clinical and biochemical phenotype remains unclear. This study aimed to identify routine biomarker features and statistical associations related to the metabolic variability of L-MAFLD within the general population.

METHODS: This retrospective, cross-sectional study was conducted from January 2023 to January 2025 and included 12,553 adults who underwent health checkups at a tertiary hospital in Jiangsu, China. Participants were divided into groups based on body mass index (BMI) and ultrasonography: L-MAFLD (n = 330), overweight/obese MAFLD (n = 9,207), and non-MAFLD controls (n = 3,016). An integrated machine learning framework-including least absolute shrinkage and selection operator, extreme gradient boosting, and Boruta-was used to identify candidate physiological and biochemical variables. These biomarkers were then statistically evaluated using multivariable Firth-penalized logistic regression. Sensitivity analyses included age matching and additional adjustment for the available metabolic syndrome (MetS) component count. To assess non-linear associations and potential effect modification, restricted cubic splines (RCS) and stratified analyses were performed.

RESULTS: The machine learning pipeline initially identified 26 variables. After evaluating stability and redundancy, 19 variables remained in the final models. Higher levels of pulse rate, fasting blood glucose (FBG), alkaline phosphatase, and prealbumin were independently associated with higher odds of L-MAFLD. Higher levels of the alanine aminotransferase to aspartate aminotransferase (ALT/AST) ratio, serum creatinine (Scr), free triiodothyronine (FT3), diastolic blood pressure, and white blood cell count were associated with lower odds of L-MAFLD. Sensitivity analyses generally supported the main findings, although FT3 lost significance after age matching, and FBG was attenuated after adjustment for the MetS component count. RCS analysis showed an L-shaped nonlinear relationship between Scr and L-MAFLD, with a key inflection point at 60 μmol/L. A significant sex-specific interaction was found for the ALT/AST ratio (P = 0.012).

CONCLUSION: L-MAFLD shows a distinct clinical and biochemical phenotype, indicating metabolic imbalance despite normal BMI. These routine biomarkers may serve as potential epidemiological indicators of metabolic vulnerability among normal-weight individuals. The findings remain association-based. Future longitudinal multicenter studies with more complete metabolic profiling and external validation are needed.

PMID:42602026 | PMC:PMC13473254 | DOI:10.3389/fpubh.2026.1835144

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Nevin Manimala Statistics

Effects of exercise type and total physical activity on high-altitude acclimatization among college students

Front Psychol. 2026 Jul 31;17:1848841. doi: 10.3389/fpsyg.2026.1848841. eCollection 2026.

ABSTRACT

BACKGROUND: Malacclimatization to the hypobaric hypoxic environment at high altitude represents a core health concern among college students residing on the plateau. Exercise serves as an important non-pharmacological strategy to improve high-altitude acclimatization; however, its underlying pathways and boundary conditions remain unclear.

OBJECTIVE: This study aimed to examine the effects of basketball and badminton on high-altitude acclimatization score among college students at high altitude, and to test the mediating role of sleep quality and the moderating effect of daily total physical activity, thereby providing empirical evidence for personalized exercise interventions for plateau populations.

METHODS: A post-test only cluster-randomized controlled design was adopted. A total of 295 sophomores living at high altitude were enrolled (146 in the basketball group and 149 in the badminton group), who received a standardized 18-week exercise intervention. Data were collected using the High-Altitude Adaptation Scale, the Pittsburgh Sleep Quality Index (PSQI), and the International Physical Activity Questionnaire (IPAQ), along with physiological measurements. After controlling for demographic and physiological covariates, statistical analyses were performed using the Mann-Whitney U test and mediation-moderation models based on Hayes’ PROCESS macro. HC3 heteroscedasticity-robust standard errors and 5,000 bootstrap samples were applied to ensure robustness of the results.

RESULTS: (1) Total physical activity significantly moderated the relationship between exercise type and high-altitude acclimatization (interaction B = -2.9965, p = 0.0056). The Johnson-Neyman interval test revealed that the badminton group showed significantly lower high-altitude acclimatization scores, indicating better adaptation than the basketball group only at a high activity level. (2) No significant mediating effect of sleep quality was found in the above relationship, and the prerequisite condition for mediation testing was not met.

CONCLUSION: The effect of exercise type on high-altitude acclimatization score is moderated by total physical activity. Differences between basketball and badminton only emerge within a specific range of activity volume. Sleep quality did not mediate this pathway under the current intervention conditions. These findings reveal boundary conditions of exercise intervention effects and provide a scientific reference for college students at high altitude to select appropriate exercise modes.

PMID:42602023 | PMC:PMC13472863 | DOI:10.3389/fpsyg.2026.1848841

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Nevin Manimala Statistics

Effectiveness of adjunctive herbal medicine in the management of post-stroke thalamic pain: a systematic review and meta-analysis

Front Neurol. 2026 Jul 31;17:1717558. doi: 10.3389/fneur.2026.1717558. eCollection 2026.

ABSTRACT

BACKGROUND: Post-stroke thalamic pain (PSTP) represents one of the most challenging types of refractory central neuropathic pain. The application of herbal medicine alongside Western medicine (WM) has been proposed as a potential therapeutic option for managing PSTP. Nevertheless, its comprehensive effectiveness and safety have yet to be conclusively established.

OBJECTIVE: This study aimed to systematically evaluate the efficacy and safety of herbal medicine combined with WM for the management of PSTP.

METHODS: Eight electronic databases were searched from inception to August 2025 to retrieve randomized controlled trials (RCTs) evaluating combined herbal medicine and WM against WM monotherapy in the management of PSTP. Outcomes included pain intensity measures (VAS, PPI, PRI), anxiety and depression scales (HAMA, SAS, HAMD and SDS), overall treatment effectiveness and adverse events. Sensitivity and subgroup analyses were performed to explore potential sources of heterogeneity. The GRADE framework was used to appraise the strength of evidence for specific results. Trial sequential analysis was carried out with TSA software.

RESULTS: The systematic review encompassed 16 trials, incorporating 1,122 participants. The pooled analysis showed that herbal medicine combined with WM was associated with a higher total effective rate than WM alone (RR = 1.38, 95% CI: 1.28-1.49, p < 0.00001). Compared with WM alone, herbal medicine combined with WM significantly reduced VAS score (MD = -1.50, 95% CI: -1.84 – -1.16, p < 0.00001), PPI score (MD = -1.39, 95% CI: -1.55 – -1.22, p < 0.00001), and PRI score (MD = -2.46, 95% CI: -3.24 – -1.69, p < 0.00001). Combination therapy also effectively reduced anxiety (HAMA: MD = -3.10, 95% CI: -3.53 – -2.67, p < 0.00001; SAS: MD = -6.97, 95% CI: -7.49 – -6.46, p < 0.00001) and depression (HAMD: MD = -2.26, 95% CI: -2.72 – -1.80, p < 0.00001; SDS: MD = -7.15, 95% CI: -7.66 – -6.65, p < 0.00001). Regarding safety, herbal medicine combined with WM was not associated with an increased incidence of adverse events compared with WM alone (RR = 0.95, 95% CI: 0.55-1.64, p = 0.86). The certainty of evidence assessed using GRADE ranged from moderate to very low, and TSA provided additional statistical support for the potential benefit of the combined therapy.

CONCLUSION: Evidence from this systematic review indicates that adjunctive herbal medicine combined with WM may have potential benefits in reducing pain, anxiety, and depression, and improving clinical response in patients with PSTP. However, these findings should be interpreted with caution due to methodological limitations and the exclusive inclusion of studies from China. Further rigorous, multicenter, and multinational trials are needed to confirm these findings.

SYSTEMATIC REVIEW REGISTRATION: The systematic review was registered in PROSPERO (registration number: CRD42024494796).

PMID:42602022 | PMC:PMC13473162 | DOI:10.3389/fneur.2026.1717558

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Nevin Manimala Statistics

MDP modeling for multi-stage stochastic programs

Math Program. 2026;217(1-2):43-78. doi: 10.1007/s10107-026-02368-8. Epub 2026 Jun 5.

ABSTRACT

We study a class of multi-stage stochastic programs, which incorporate modeling features from Markov decision processes (MDPs). This class includes structured MDPs with continuous action and state spaces. We extend policy graphs to include decision-dependent uncertainty for one-step transition probabilities as well as a limited form of statistical learning. We focus on the expressiveness of our modeling approach, illustrating ideas with a series of examples of increasing complexity. As a solution method, we develop new variants of stochastic dual dynamic programming, including approximations to handle non-convexities.

PMID:42602018 | PMC:PMC13473183 | DOI:10.1007/s10107-026-02368-8

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Nevin Manimala Statistics

Knowledge, attitudes, and practices regarding antimicrobial use and antimicrobial resistance among medical students and house surgeons in India: a call to reform medical curricula and training practices

Front Public Health. 2026 Jul 31;14:1876665. doi: 10.3389/fpubh.2026.1876665. eCollection 2026.

ABSTRACT

BACKGROUND: Antimicrobial resistance (AMR) is a major global public health threat driven by the overuse and misuse of antimicrobials across sectors. Medical students, as future prescribers, play a crucial role in combating AMR. This study aimed to assess the knowledge, attitudes, and practices (KAP) regarding antimicrobial use and AMR among medical students and house surgeons in India.

METHODS: A cross-sectional survey was conducted among medical students and house surgeons in Maharashtra, India, using a previously validated questionnaire administered via Google Forms. Data were analyzed using R statistical software. Descriptive statistics were used, and inferential analyses included chi-square tests, Kruskal-Wallis tests, Dunn’s post hoc tests, and Spearman correlation.

RESULTS: A total of 414 participants were included. The overall knowledge score was 69%, indicating moderate knowledge. While 90.1% recognized that AMR affects all age groups, only 52.7% were aware that resistant bacteria can spread between individuals, and 33.6% correctly understood that AMR results from microorganisms becoming resistant rather than the human body. Knowledge varied significantly across academic years (p < 0.001). More than 75% of participants demonstrated a positive attitude toward AMR as a major health threat; however, only 20.8% had received formal training on AMR. Regarding practices, 80.7% reported completing antibiotic courses, while 60.4% reported that they would avoid self-medication. Spearman correlation showed a positive association between knowledge and attitude (r = 0.39, p < 0.001) and weak negative correlations between knowledge and practice (r = -0.11, p = 0.03) and between attitude and practice (r = -0.10, p = 0.03).

CONCLUSIONS: The study highlights moderate knowledge, positive attitudes, and suboptimal practices regarding AMR among medical students. Significant gaps in formal training and understanding persist. Early integration of AMR education into medical curricula, along with training in rational prescribing, patient assessment, and antimicrobial stewardship, is essential to curb the development and spread of AMR.

PMID:42602016 | PMC:PMC13473186 | DOI:10.3389/fpubh.2026.1876665

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Nevin Manimala Statistics

Evaluating the accuracy of table tennis 3D markerless motion capture based on two video cameras: a pilot study

Front Bioeng Biotechnol. 2026 Jul 31;14:1854164. doi: 10.3389/fbioe.2026.1854164. eCollection 2026.

ABSTRACT

INTRODUCTION: This pilot study presents a 3D markerless motion capture system for table tennis using binocular cameras, based on the OpenPose framework and linear triangulation to obtain 3D joint motion data. The system’s accuracy was compared to a marker-based system, and the impact of different camera.

METHODS: A comparative experiment was conducted between the proposed markerless system and a marker-based reference system. Three camera configurations were tested: RR-100 (right-right placement, 100 cm baseline), RR-145 (right-right placement, 145 cm baseline), and RF-100 (right-front placement, 100 cm baseline). Dynamic Time Warping (DTW) similarity of elbow joint angle curves was used as the primary accuracy metric, and statistical comparisons (p-values) were performed to identify significant differences in system errors across configurations.

RESULTS: (1) At a camera position of RR-100, the DTW similarity of the elbow joint angle curves between the markerless and marker-based systems was 0.941, 0.719, and 0.854, respectively, similar to the marker-based system. The DTW similarity reached 0.948, 0.730, and 0.887 for RR-145 and 0.949, 0.729, and 0.860 for RF-100. (2) Significant differences in system errors were found at varying baseline distances with L = RR, showing better accuracy at 145 cm (p < 0.01). (3) Significant differences in errors were found with L = RF and a 100 cm baseline, with better accuracy at RF (p < 0.01).

CONCLUSION: (1) The markerless system, though slightly less accurate, can also capture joint motion data. (2) Increasing baseline distance improves accuracy when the camera position is fixed. (3) With a fixed baseline distance, the system with the RF camera position outperforms the RR position in accuracy.

PMID:42602004 | PMC:PMC13473170 | DOI:10.3389/fbioe.2026.1854164

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Nevin Manimala Statistics

Effects of post-exercise compression garments on subsequent endurance performance and delayed-onset muscle soreness in endurance athletes: a systematic review and meta-analysis

Front Physiol. 2026 Jul 31;17:1908148. doi: 10.3389/fphys.2026.1908148. eCollection 2026.

ABSTRACT

OBJECTIVE: To evaluate whether post-exercise compression garments improve subsequent endurance performance and delayed-onset or perceived muscle soreness in adult endurance athletes.

METHODS: This systematic review and meta-analysis searched PubMed, Scopus, and Web of Science through 19 May 2026 for controlled intervention studies comparing post-exercise compression garments with no compression, usual clothing, sham/placebo, passive recovery, or lower-pressure controls. RoB 2 and GRADE assessed risk of bias and certainty. Soreness was synthesized as Hedges g using random-effects models with Hartung-Knapp-Sidik-Jonkman inference; performance was synthesized narratively. The protocol was registered in Open Science Framework (osf.io/46ck9).

RESULTS: Of 503 records screened, nine studies were included (158 participants; six crossover, three parallel-group). All studies included in the final evidence base were randomized parallel-group or crossover trials. Ten of 11 assessments were high risk. At approximately 24 hours, soreness favored compression but was uncertain (four studies; Hedges g = 0.62, 95% CI -0.57 to 1.82; I2 = 74.0%). Immediate-to-2-hour acute post-exercise perceived soreness/discomfort was also uncertain (three studies; g = 0.38, 95% CI -0.67 to 1.42; I2 = 51.0%). Performance findings were not pooled because of heterogeneity or non-isolatable recovery effects. Certainty was very low.

CONCLUSIONS: Soreness estimates were directionally favorable to compression, but the evidence was very uncertain, statistically imprecise, and vulnerable to expectation effects because blinding was limited or poorly credible. Effects on subsequent endurance performance remain unresolved. Registration: OSF osf.io/46ck9 on 14/05/2026.

SYSTEMATIC REVIEW REGISTRATION: https://osf.io/b3c78/overview, identifier osf.io/46ck9.

PMID:42602003 | PMC:PMC13472931 | DOI:10.3389/fphys.2026.1908148

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Nevin Manimala Statistics

Impact of a Student-Led Research Methodology Course on Self-Perceived Research Competencies: A Quasi-experimental Study Among Medical Students in Panama, 2024

Cureus. 2026 Jul 14;18(7):e112679. doi: 10.7759/cureus.112679. eCollection 2026 Jul.

ABSTRACT

INTRODUCTION: Undergraduate research training improves critical thinking, although barriers related to mentorship and time persist. This study evaluated changes in self-perceived research competencies after a free extracurricular student-led research methodology course combining lectures, practical workshops, and mentorship.

METHODOLOGY: A single-group quasi-experimental study with a retrospective pretest-posttest design was conducted among medical students after completion of this 13-session, 30-hour extracurricular course. Descriptive statistics were used to summarize outcomes; pre- and post-course self-perceived competencies were compared using the Wilcoxon signed-rank test; grades were modeled according to attendance using linear regression; and perceived barriers were explored.

RESULTS: Among 59 participants (mean age 23.7 ± 1.58 years; 36, 61.0%, women), those feeling well or very well prepared increased from 8 (13.6%) to 37 (62.7%). Attendance was positively associated with grade (r = 0.4716; β = +2.39 points per session attended; R² = 22.2%; P = 0.00016). The Wilcoxon test showed a significant difference (statistic = 0.0; P < 0.000001).

CONCLUSIONS: A structured student-led course was associated with higher self-perceived research competencies and better academic performance. Incorporating mentorship and practical sessions is recommended to strengthen outcomes and support implementation in other faculties.

PMID:42602002 | PMC:PMC13473197 | DOI:10.7759/cureus.112679

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Nevin Manimala Statistics

Loneliness among older adults with chronic diseases and multimorbidity: a scoping review of prevalence and associated factors

Front Public Health. 2026 Jul 31;14:1846531. doi: 10.3389/fpubh.2026.1846531. eCollection 2026.

ABSTRACT

BACKGROUND: Loneliness is increasingly recognized as an important psychosocial health issue among older adults. Older adults with chronic diseases and multimorbidity may be particularly vulnerable because long-term disease burden, coexisting chronic conditions, functional limitations, and reduced social participation often interact. This scoping review aimed to map the available evidence on assessment tools, prevalence estimates, and factors associated with loneliness among older adults with chronic diseases and multimorbidity.

METHODS: A systematic search was conducted in CNKI, Wanfang, VIP, China Biomedical Literature Database, Embase, The Cochrane Library, PubMed, Web of Science, and CINAHL from database inception to November 2025. Eligible studies were screened and extracted according to predefined criteria. Descriptive statistics, narrative synthesis, and thematic analysis were used to summarize the findings.

RESULTS: Twenty-one studies involving 26,140 participants were included. Five loneliness assessment approaches were identified, including the UCLA Loneliness Scale, the 3-item UCLA Loneliness Scale, the ULS-8 Scale, the De Jong Gierveld Loneliness Scale, and a single-item loneliness question. Thirteen studies reported prevalence estimates, ranging from 25.0 to 97%. When stratified by assessment instrument, estimates were generally higher in studies using the full UCLA Loneliness Scale and lower in studies using single-item loneliness questions. Factors associated with loneliness were grouped into four categories: sociodemographic factors, health status and disease-related factors, lifestyle and social support factors, and psychological and cognitive factors. Insufficient social support, chronic disease burden, multimorbidity, functional impairment, depression, anxiety, living alone, and widowhood were repeatedly reported.

CONCLUSION: Loneliness among older adults with chronic diseases and multimorbidity is common but heterogeneous across studies. Future research should standardize measurement approaches and conduct longitudinal and intervention studies to inform integrated and personalized management strategies.

SYSTEMATIC REVIEW REGISTRATION: Identifier md2je. The review was registered with the Open Science Framework. The publicly accessible registration URL is: https://osf.io/md2je/.

PMID:42601983 | PMC:PMC13472916 | DOI:10.3389/fpubh.2026.1846531