Nevin Manimala

BMC Psychol. 2025 Mar 1;13(1):180. doi: 10.1186/s40359-025-02497-3.

ABSTRACT

OBJECTIVE: This Research explores the intermediary function of academic stress and sleep quality in the connection between physical exercise and subjective well-being among high school students.

METHODS: This Research conducted an online survey through random sampling with a sample of 540 (males = 310, females = 217; grade 10 = 159, grade 11 = 190, grade 12 = 178) high school students to explore the intermediary function of academic stress and sleep quality between physical exercise and subjective well-being. The participants were surveyed using PSQI, the Subjective Well-Being Scale, the ESSA, and PSQI. SPSS Statistics 26 was used to conduct reliability and validity tests, descriptive statistics, and correlation analysis. Mediation analysis was conducted utilizing Model 6 from the PROCESS 4.0 plugin.

RESULTS: (1) Physical exercise shows a significant positive correlation with subjective well-being, and the direct impact of physical exercise on subjective well-being is also significant. (2) Physical exercise adversely affects academic stress and positively influences sleep quality. Academic stress negatively impacts sleep quality and subjective well-being, while sleep quality positively influences subjective well-being. (3) Academic stress and sleep quality serve as significant mediators between physical exercise and subjective well-being. The mediation effect encompasses two indirect paths: In one aspect, physical exercise has an indirect impact on subjective well-being through its influence on academic stress; in another aspect, physical exercise indirectly affects subjective well-being via the chain mediation effects of academic stress and sleep quality.

CONCLUSION: Physical exercise can directly influence the subjective well-being of high school students. Additionally, physical exercise can indirectly impact their subjective well-being through academic stress, and it can also indirectly influence their subjective well-being through the chain mediation effect of academic stress and sleep quality. Based on these findings, it is recommended that schools provide more opportunities for physical exercise, integrated with psychological counseling and sleep management, to help students effectively alleviate academic stress, thereby enhancing their overall well-being.

PMID:40025577 | DOI:10.1186/s40359-025-02497-3

Mol Cancer. 2025 Mar 1;24(1):60. doi: 10.1186/s12943-025-02271-4.

ABSTRACT

BACKGROUND: Cancer remains a leading global cause of mortality, making early detection crucial for improving survival outcomes. The study aims to develop a machine learning-enabled blood-derived exosomal RNA profiling platform for multi-cancer detection and localization.

METHODS: In this multi-phase, multi-center study, we analyzed RNA from exosomes derived from peripheral blood plasma in 818 participants across eight cancer types during the discovery phase. Machine learning techniques were applied to identify potential pan-cancer biomarkers. During the screening and model validation phases, the sample size was progressively expanded to 1,385 participants in two steps, while the candidate biomarkers were refined into a set of 12 exosomal tumor RNA signatures (ETR.sig). In the subsequent model construction phase, diagnostic models were developed using the expanded cohort and ETR.sig. Statistical analyses included the calculation of receiver operating characteristic (ROC) curves and AUC values to assess the models’ ability to distinguish cancer cases from controls and determine tumor origins. To further validate and explore the biological relevance of the identified biomarkers, we integrated tissue RNA-seq, single-cell data, and clinical information.

RESULTS: Machine learning analysis initially identified 33 candidate biomarkers, which were narrowed down to 20 ETR.sig in the screening phase and 12 ETR.sig in the validation phase. In the model construction phase, a diagnostic model based on ETR.sig, built using the Random Forest (RF) algorithm, showed excellent performance with an AUC of 0.915 for distinguishing pan-cancer from controls. The multi-class classification model also demonstrated strong classification power, with macro-average and micro-average AUCs of 0.983 and 0.985, respectively, for differentiating between eight cancer types. Additionally, tumor origin classification using the RF-based diagnostic models achieved high AUC values: BRCA 0.976, COAD 0.98, KIRC 0.947, LIHC 0.967, LUAD 0.853, OV 0.972, PAAD 0.977, and PRAD 0.898. Integration of tissue RNA-seq, single-cell data, and clinical information revealed key associations between ETR.sig-related genes and tumor development.

CONCLUSIONS: The study demonstrates the robust potential of exosomal RNA as a minimally invasive biomarker resource for cancer detection. The developed ETR.sig platform offers a promising tool for precision oncology and broad-spectrum cancer screening, integrating advanced computational models with nanoscale vesicle biology for accurate and rapid diagnosis.

PMID:40025576 | DOI:10.1186/s12943-025-02271-4

BMC Sports Sci Med Rehabil. 2025 Mar 1;17(1):33. doi: 10.1186/s13102-025-01081-x.

ABSTRACT

PURPOSE: Para-karate has been gaining popularity rapidly; however, scientific research on the subject remains limited. This study aims to examine the kata preferences at top-level para-karate events and explore the relationship between sport class (type of impairment) and kata selection.

METHODS: Data was collected from nine events-four World Para-Karate Championships (2016, 2018, 2021, 2023) and five European Para-Karate Championships (2018, 2019, 2021, 2022, 2023). A total of 906 katas were performed: 567 by males and 339 by females. Descriptive statistics and chi-square tests were used for analysis.

RESULTS: Top-level para-karate athletes utilized 62 katas (61%) from the official WKF list (102 katas). The most popular katas were Gojushiho Sho (19.9%), Unsu (11.5%), Kanku Sho (9.5%), Suparinpei (6.7%), and Jion (6.2%). A significant relationship was found between sport class and kata selection (p ≤ 0.05). The most popular kata for K30 was Unsu (15%), while K10 and K21 + K22 classes predominantly chose Gojushiho Sho (16.6% and 30.3%, respectively).

CONCLUSIONS: Kata selection for para-karate athletes is influenced by the type of impairment. Intellectually impaired athletes and their coaches often select a single, challenging kata with a balanced fast-to-slow movement ratio, such as Gojushiho Sho, to optimize performance.

PMID:40025570 | DOI:10.1186/s13102-025-01081-x

World J Surg Oncol. 2025 Mar 1;23(1):72. doi: 10.1186/s12957-025-03726-0.

ABSTRACT

BACKGROUND: Currently, various risk prediction models for surgical site infection (SSI) in patients with gastrointestinal tumors have been developed, but comprehensive comparisons regarding the model construction process, performance, and data sample bias are lacking. This study conducts a systematic review of relevant research to evaluate the risk bias and clinical applicability of these models.

MATERIALS AND METHODS: The Web of Science, PubMed, Cochrane Library, Embase, CINAHL, CBM, CNKI, Wanfang, and VIP databases were searched for studies related to SSI prediction models in gastrointestinal cancer patients published up to August 19, 2024. Two researchers independently screened the literature, extracted the data, and evaluated the quality. A meta-analysis was conducted on the common predictive factors included in the model, using odds ratio (OR) values and 95% confidence interval (CI) as effect statistics. The Q test and heterogeneity index I² were used to assess heterogeneity. All the statistical analyses were performed via Stata 16.0 software. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist was submitted as a supplement.

RESULTS: A total of 28 articles were included, and 39 models were constructed. The area under the receiver operating characteristic curve (AUC) for the models ranged from 0.660 to 0.950, indicating good predictive performance. Eight studies conducted internal validation, eight studies conducted external validation, and two studies used a combination of internal and external validation for model evaluation. The overall risk of bias in the literature was high, but the applicability was good. The results of the meta-analysis revealed that factors such as underlying diseases, surgical factors, demographic factors, and laboratory-related indicators are the main predictors of surgical site infections in patients with gastrointestinal tumors.

CONCLUSIONS: Currently, risk prediction models for surgical site infections in patients with gastrointestinal cancer remain in the developmental phase, and there is a high risk of bias in the areas of study subjects, outcomes, and analysis. Researchers need to enhance research methodologies, conduct large-scale prospective studies, and refer to the reporting standards of the bias risk assessment tool for predictive models to construct predictive models with low bias risk and high applicability.

PMID:40025565 | DOI:10.1186/s12957-025-03726-0

Head Face Med. 2025 Mar 1;21(1):16. doi: 10.1186/s13005-025-00486-w.

ABSTRACT

BACKGROUND: The purpose of this in vitro study was to compare the surface roughness (Ra) changes of different dental ceramic materials with different compositions, which were applied two different surface treatments after exposure to acidic pH. The purpose of this in vitro study was to compare the Ra changes of different CAD-CAM materials with different compositions, which were applied two different surface treatments, after exposure to acidic pH.

METHODS: A total of the 168 samples (12 × 14 × 2 mm) were obtained from ceramic blocks (IPS e.max CAD (LDS)), GC Cerasmart (RNC-C), Lava Ultimate (RNC-L), and Vita Enamic (PIC). Half of each group was subjected to mechanical polishing, and the other half was glazed. After the initial Ra evaluations were made, the samples classified with 7 in each subgroup were kept in three different solutions (citric acid, Coca-Cola, and artificial saliva-control group). After 168 h, surface roughness values of the specimens were measured again.

RESULTS: In the RNC-C samples, varying surface treatments and exposure to various solutions did not produce a statistically significant difference. Different acidic solutions did not affect the Ra values of LDS and RNC-C ceramics. The percentage change in Ra values in the glazed samples of PIC exposed to Coca-Cola and RNC-L exposed to artificial saliva were higher than those applied mechanical polishing.

CONCLUSION: The Ra values of RNC-C ceramics were not affected by both surface treatment and acid exposure. The percentage change in Ra values was highest in PIC ceramics. In general, glazed samples had larger Ra change values and higher percentage change in Ra values than manually polished ones.

PMID:40025563 | DOI:10.1186/s13005-025-00486-w

BMC Vet Res. 2025 Mar 1;21(1):126. doi: 10.1186/s12917-025-04524-2.

ABSTRACT

BACKGROUND: Capillaria hepatica, a zoonotic parasite, is present in the population of Brandt’s voles (Lasiopodomys brandtii) and has been a central issue in ecological studies regarding its impact on host populations. Brandt’s voles are known for their extremely high reproductive capacity, and the population explosion of Brandt’s voles have occurred multiple times in the grasslands of Inner Mongolia over the past few decades. However, the mechanisms underlying the population dynamics of Brandt’s voles, particularly in response to C. hepatica infection, remain poorly understood. Given the critical role of the gut microbiota in modulating hormones within the reproductive endocrine system, this study aims to explore how alterations in the gut microbiota influence the host’s population dynamics in response to C. hepatica infection.

METHODS: Female Brandt’s voles were inoculated with eggs of infected C. hepatica, and BALB/C mice were used as a control. At the end of the experimental period, cecal contents were collected for 16 S rRNA amplicon sequencing, and the expression levels of reproductive-related hormones were determined using enzyme-linked immunosorbent assay (ELISA).

RESULTS: C. hepatica infection leads to an increased diversity of gut microbiota in Brandt’s voles, with significant changes in microbial composition. The relative abundance of Muribaculaceae and Eubacteriaceae increased significantly, while that of Rikenellaceae and Lachnospiraceae decreased significantly. The expression level of estradiol in the serum of infected Brandt’s voles shows a slight decrease without statistical significance. However, the expression of equol is significantly higher in the infected group compared to the uninfected group, and the expression of enterolactone is significantly lower in the infected group than in the uninfected group.

CONCLUSIONS: This study demonstrates that infection with C. hepatica indirectly affect the abundance of specific gut microbiota in Brandt’s voles, which are associated with reproductive hormones. This indirect effect on hormone expression can subsequently impact the reproductive function of the host. By investigating the changes in specific gut microbiota, this study sheds light on the mechanisms through which parasites regulate population fluctuations in Brandt’s voles.

PMID:40025543 | DOI:10.1186/s12917-025-04524-2

Eur J Med Res. 2025 Mar 1;30(1):147. doi: 10.1186/s40001-025-02409-6.

ABSTRACT

OBJECTIVES: Haloperidol is the most frequently prescribed medication for managing delirium in the intensive care unit (ICU). However, there is limited and inconclusive evidence regarding its efficacy. A meta-analysis was conducted by pooling data from recent clinical randomized controlled trials to assess the effectiveness of haloperidol in adult ICU patients with delirium.

METHODS: Studies were searched in PubMed, Embase and Cochrane Library databases on August 10, 2024. We performed a meta-analysis to estimate the efficacy of haloperidol for the treatment of ICU adult patients with delirium. This study is registered with INPLASY, number 202480104. The estimates are expressed as odds ratio (OR) or mean difference (MD) with a 95% confidence interval (CI).

RESULTS: A total of 2863 patients were included in the analyses. All the included studies were randomized controlled trials. The frequency of patients diagnosed with delirium used both confusion assessment method of intensive care unit (CAM-ICU) and intensive care delirium screening checklist (ICDSC) was 34% (n = 2863), and used CAM-ICU only was 66% (n = 2863). There was no difference in short-term (28-30 days) mortality between the two groups [OR = 0.89, 95% CI 0.60-1.32, P = 0.56] and long-term (90 days to 1 year) mortality [OR = 0.87, 95% CI 0.70-1.07, P = 0.19]. Furthermore, the haloperidol group demonstrated an advantage in reducing the length of ICU stay [MD = -1.13, 95% CI – 1.93– 0.32, P < 0.05] compared to the placebo group, with no statistically significant difference in length of hospital stay [MD = – 0.24, 95% CI -1.71-1.24, P = 0.75].

CONCLUSIONS: Haloperidol showed a significant trend in reducing the length of ICU stay. However, there was no statistical difference between the two groups in terms of delirium reduction.

PMID:40025536 | DOI:10.1186/s40001-025-02409-6

Hum Genomics. 2025 Mar 1;19(1):22. doi: 10.1186/s40246-025-00729-6.

ABSTRACT

AIMS: The aim of this study is to elucidate the genetic landscape of microspherophakia (MSP) and describe the genotype-phenotype correlation of MSP. Additionally, the study seeks to enhance the understanding of the pathogenic mechanisms of MSP through the discovery of novel loci.

METHODS: Patients diagnosed with MSP at the Eye and ENT Hospital of Fudan University, Shanghai, were included in the study and all underwent panel-based next-generation sequencing and bioinformatics analysis. Comprehensive ophthalmologic evaluations were conducted for each participant.

RESULTS: Our analysis encompassed 118 eyes from 59 patients with MSP, revealing 13 gene variations linked to the condition. Notably, FBN1 mutations were identified in 31 patients (52.5%), highlighting its higher prevalence. Among the genetic variations discovered, 28 represented novel mutations. Statistical analysis unveiled significant associations between specific gene mutations and ocular biometric parameters: axial length (AL, p = 0.011), Z-score axial length (Z-AL, p < 0.001), white-to-white (WTW, p = 0.009), Z-score white-to-white (p = 0.012), mean keratometry (p < 0.001), astigmatism (AST, p = 0.021), anterior chamber depth (ACD, p = 0.003), lens thickness (LT, p = 0.012) and central endothelial cell count/mm2 (p = 0.005). Patients with FBN1 mutations had the longest AL, while those with CBS mutations showed significantly wilder WTW measurements. Patients with ADAMTS17 mutations presented with increased LT and decreased WTW, ADAMTSL4 mutations were linked to the greater Km and AST. Patients with LTBP mutations exhibited the largest WTW, and ASPH mutations was associated with the shortest AL but thick LT. Additionally, there was a relationship among gene mutations, diagnostic age and ocular biometric parameters.

CONCLUSION: The study demonstrates that MSP is associated with a diverse range of genetic mutations, with FBN1 being the most common. Novel mutations were identified, and significant correlations were found between specific genetic variations and ocular biometric parameters. These results provide new insights into the genetic underpinnings of MSP and its clinical characteristics, advancing our understanding of the condition’s pathogenic mechanisms.

PMID:40025527 | DOI:10.1186/s40246-025-00729-6

Int J Equity Health. 2025 Mar 1;24(1):60. doi: 10.1186/s12939-025-02407-4.

ABSTRACT

BACKGROUND: In Central America, Honduras experienced a significant increase in SARS-CoV-2 infections between March 11, 2020, and January 26, 2022. Although limited research has been conducted on the impact of the COVID-19 pandemic on populations in Central American countries, this study seeks to contribute to the existing body of knowledge in the region. The objective of this study was to investigate the variability of COVID-19 mortality in Honduras and the impact of sociodemographic factors.

METHODS: A cross-sectional and ecological study, using data from cases collected by the National Risk Management System (SINAGER) and recorded by the Demographic Observatory of the National Autonomous University of Honduras (ODU) between March 11, 2020, and January 26, 2022. Sociodemographic variables were obtained from the 2013 XVII Population and VI Housing Census by the National Institute of Statistics (INE). Age-adjusted case and COVID-19 mortality rates by sex were calculated. To explain the potential causes of variability, multilevel logistic regression models were constructed, considering individual and contextual variables.

RESULTS: A total of 513,416 COVID-19 cases were included, of which 98 $\%$ (503,176) survived and 2 $\%$ (10,240) died. The results showed differences in COVID-19 mortality rates between municipalities and departments. The multilevel model revealed that age (OR: 1.0737; 95 $\%$ CI: [1.0726; 1.0749]) and sex (OR: 0.7434; 95 $\%$ CI: [0.7027; 0.7841]) were significantly associated with COVID-19 mortality, with men being more likely to die. Among departments, the significant contextual factors were the illiteracy rate and the percentage of the rural population, both of which were associated with higher COVID-19 mortality (OR: 1.0850; 95 $\%$ CI: [1.0511; 1.1189] and OR: 1.0234; 95 $\%$ CI: [1.0146; 1.0323]), while the percentage of the active population (working age people) was associated with a decrease in COVID-19 mortality (OR: 0.9768; 95 $\%$ CI: [0.9591; 0.9944]). The intraclass correlation coefficient (ICC) showed a reduction in variability attributable to the variation between departments, with a final ICC of 0.68 $\%$ .

CONCLUSIONS: Differences in COVID-19 mortality were found between the different departments, partly explained by sociodemographic factors. The results of this study show that, in addition to individual characteristics, population-level socioeconomic and educational factors influence COVID-19 mortality. Multilevel analysis is highly useful for providing evidence to improve approaches in future pandemics.

PMID:40025523 | DOI:10.1186/s12939-025-02407-4

BMC Health Serv Res. 2025 Mar 1;25(1):327. doi: 10.1186/s12913-025-12437-x.

ABSTRACT

BACKGROUND: Health professionals are burn out syndrome prone occupational group. In Ethiopia there are limited evidences about burnout syndrome and work related determinant factors resulting in Burnout syndrome. Therefore, this study aimed to determine the prevalence of burnout syndrome and associated factors of burnout syndrome among health professionals working in university hospitals found in Sidama region and Southern Ethiopia 2023.

METHODS: An institution based multi-center cross-sectional study was conducted on 362 health professionals working in three university hospital from February 15 to February 30, 2023. Study participants were recruited using Simple random sampling technique. A standard self-administered Maslach Burn out Inventory questionnaire were used to collect data. Data entered into Epi-info version 7.2.5.0 and exported to stata version 17 for analysis. Multivariate logistic regression was used to identify factors associated with burnout syndrome and adjusted odds ratio with a 95% confidence interval were used to describe factors associated significantly. Variables with a P value of less than 0.05 were considered statistically significant.

RESULT: A total of 362 health professionals were enrolled in the study with a response rate of 100%. The prevalence of burnout syndrome among health professionals was found to be 198 (54.7%) with a 95% CI of 49.51-59.77%. Alcohol dependence (AOR = 6.41, 95% CI = 2.37- 17.29), Sleep problem (AOR = 3.88, 95% CI = 2.33-6.46), poor social support (AOR = 4.71, 95% CI = 2.21-10.01) and intermediate social support (AOR = 2.41, 95% CI = 1.07-5.42) were factors significantly associated with burnout syndrome.

CONCLUSION: This study revealed that a high proportion of health professionals working in university hospitals of sidama and southern part of Ethiopia suffer from burnout syndrome. Alcohol dependence, sleep problem, getting poor and intermediate social support were significantly associated predictor variable with burnout syndrome.

RECOMMENDATION: Higher officials of university hospitals and human resource department should design strategies to reduce alcohol dependence, promote healthy sleep habit and advocate strong social support among health professionals.

PMID:40025521 | DOI:10.1186/s12913-025-12437-x