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Nevin Manimala Statistics

Looking at WORK journal: Findings from a bibliometric analysis and visualization from 1990 to 2022

Work. 2025 Feb;80(2):539-547. doi: 10.3233/WOR-230595. Epub 2025 Apr 2.

ABSTRACT

BACKGROUND: The bibliometric and visualization of a journal informs the editorial team about its current situation. As an interesting and popular journal in the field of Occupational Health and Safety (OHS), WORK is a good target for bibliometric analysis and visualization.

OBJECTIVE: To conduct an overview of WORK from a bibliometric perspective.

METHODS: Using the Scopus database, the present bibliometric study was carried out to evaluate WORK from its whole life (1990-2022). Data extraction was performed on May 8, 2023. Using Microsoft Excel and VOSviewer software, bibliometric analysis and visualization approaches were conducted. Related findings such as various indices trends, co-authorship as well as most cited and most productive authors, highly cited papers, and most productive countries were introduced and discussed.

RESULTS: Overall, positive trends were observed in published documents and received citations by WORK. The top-cited paper in WORK had 478 citations. Straker, Innes, and Jacobs were the most cited authors with nearly 500 citations. American and European countries had more contributions to WORK. The same findings were obtained regarding international cooperation. The co-occurrence of keywords showed that WORK covers all aspects of OHS with more emphasis on the Ergonomics issues.

CONCLUSIONS: The positive trends in published papers as well as its impacts proved the fact that WORK is progressing year by year. The findings of the present study can be useful both for audiences and the editorial team of WORK.

PMID:40172850 | DOI:10.3233/WOR-230595

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Nevin Manimala Statistics

Back to work again: Survival analysis of factors promoting return after industrial accidents

Work. 2025 Feb;80(2):814-822. doi: 10.1177/10519815241290022. Epub 2024 Nov 25.

ABSTRACT

BackgroundsSince 2022, South Korea has enacted the “Serious Accident Punishment Act” to enhance the safety of industrial workers. However, serious industrial accidents have continued to occur since the Act’s implementation. The COVID-19 pandemic has seen an increase in both the number and severity of these accidents. This highlights the need for better policies to prevent accidents and provide comprehensive medical and social support for injured workers.ObjectivesThis study examines how different factors (e.g., policies, personal efforts, and demographic factors) affect the time it takes for workers injured in industrial accidents to return to their jobs.MethodsThis research utilized the Cox hazards model to examine the factors using data from the Panel Study of Workers’ Compensation Insurance (2018-2020).ResultsThe study found that several factors (e.g., experience with vocational rehabilitation services, living in large cities, having a higher disability rating, and being younger) helped workers return to their jobs more quickly.ConclusionsOur findings suggest that younger workers living in big cities with access to vocational rehabilitation services can return to work faster. This study also emphasizes the need for stronger policies to support older workers in rural areas. As South Korea’s population ages and more young people move to cities, these challenges will become even more pressing.

PMID:40172847 | DOI:10.1177/10519815241290022

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Nevin Manimala Statistics

Nurses’ burnout and its associated factors in Tigray Region, North Ethiopia: A cross-sectional study

Work. 2025 Feb;80(2):614-621. doi: 10.3233/WOR-240179. Epub 2025 Apr 2.

ABSTRACT

BACKGROUNDBurnout has become one of the main problems in all health systems and nurses in all nursing jobs are subjected to burnout.OBJECTIVETo determine the magnitude, levels of burnout and its associated factors of nurses working in general hospitals of Tigray Region, North Ethiopia.METHODSA cross-sectional study design among 634 nurses from March 2018 to June 2019 was conducted. A clustered random sample technique was used. Multiple logistic regression analyses were performed using SPSS version 20.RESULTSThe proportion of burnout among the nurses was 41.10%. The 18.10%, 16.10% and 26% of nurses were with high emotional exhaustion, depersonalization and reduced levels of personal accomplishment respectively. The 5-9 years of work experience, working in a surgical unit, and working night shifts were protective factors.CONCLUSIONSThis study shows that a high proportion of nurses suffered from job burnout. There is a high emotional exhaustion, depersonalization and reduced personal accomplishment in their job. This study also showed that there is a significant association between factors such as service year, working in surgical units, night shift assignment and job burnout. It is recommended counseling, burnout coping programs and clinical services policy for nurses. All level managers should plan for nurses’ incentives; continuing education, training and regular shift rotations and set nurse recognition policies, and recreational and relaxation programs to increase nurses’ motivation. Future studies in primary and tertiary hospitals using a longitudinal design.

PMID:40172846 | DOI:10.3233/WOR-240179

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Nevin Manimala Statistics

Examining employment outcomes of deaf and hard-of-hearing people in The Netherlands using non-public microdata

Work. 2025 Feb;80(2):888-899. doi: 10.1177/10519815241289791. Epub 2024 Nov 13.

ABSTRACT

BackgroundIt is internationally recognized that people with disabilities have an equal right to work as people without disabilities. This includes deaf and hard-of-hearing (DHH) people. Previous studies, primarily conducted in the US, showed discrepancies between employment outcomes of DHH people and typically hearing people.ObjectiveThere is still a lack of knowledge about the current employment status of DHH people in the Netherlands. Furthermore, additional job characteristics such as income sources and sectors of employment are yet to be examined. This paper aims to address this lack of knowledge.MethodsThis study used non-public microdata to examine employment outcomes of DHH people who claimed sensory disability care in the Netherlands between 2015 and 2019 (n = 5609) and compare them to a matched Dutch population (MDP) (n = 5609).ResultsDespite small differences in employment participation, DHH claimants are more likely to have an income from sick leave/disability pension, other social benefits, and retirement compared to the MDP. DHH claimants also have lower average hourly wages, work fewer hours per week, work in different employment sectors, and stay in their first job longer compared to the MDP.ConclusionsThe results of this study show that there are labor force differences between DHH claimants and the MDP. Further steps must be taken to identify the causes of these differences and develop policies and interventions to address these when deemed necessary.

PMID:40172845 | DOI:10.1177/10519815241289791

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Nevin Manimala Statistics

The relationship between artificial intelligence anxiety and unemployment anxiety among university students

Work. 2025 Feb;80(2):701-710. doi: 10.1177/10519815241290648. Epub 2024 Nov 22.

ABSTRACT

BackgroundThe idea that people will lose their jobs because of robots with artificial intelligence is one of the biggest recent concerns about artificial intelligence technology. There are predictions that unemployment will increase with the introduction of robots into the business sector, and due to artificial intelligence, automation in the production sector will make work completed by robots more practical than the efforts accomplished by humans.ObjectiveThis study aimed to assess the correlation between artificial intelligence anxiety and the level of unemployment anxiety among university students.MethodsAs a cross-sectional and descriptive study, the population comprised of 10,682 university students actively enrolled at a university. While the minimum sample size was calculated as 371 students, the research included 476 students as participants. The study used the ‘Personal Information Form’, ‘Artificial Intelligence Anxiety Scale’, and ‘Unemployment Anxiety Scale’ as data collection tools.ResultsThe demographic information of the participants follows: 50.4% were male, 33.8% were freshmen, and 96.2% were single. The total score averages for the Artificial Intelligence Anxiety Scale and Unemployment Anxiety Scale are 56.00 ± 15.51 and 53.52 ± 11.55, respectively. A statistically significant difference between the participants’ score averages on the Artificial Intelligence Anxiety Scale and the Unemployment Anxiety Scale was identified for gender, major/college, trust in technology, and use of artificial intelligence (p < 0.05). There was a moderately positive relationship between artificial intelligence anxiety and unemployment anxiety level total score averages (p < 0.01).ConclusionsThere were high scores among participants for artificial intelligence anxiety and unemployment anxiety.

PMID:40172842 | DOI:10.1177/10519815241290648

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Nevin Manimala Statistics

Cannabidiol on aggression in betta fish (Betta splendens)

Behav Pharmacol. 2025 Apr 2. doi: 10.1097/FBP.0000000000000822. Online ahead of print.

ABSTRACT

Cannabidiol (CBD) was first isolated in the 1940s and its drug structure was established in the 1960s. It has risen significantly in popularity since then and has been observed to reduce inflammation and anxiety in patients. CBD is easy to obtain and consume, therefore, its common use is rising and has spread to use in pets and children. Few studies have focused on the use of CBD as a solution to aggression. In our study, we tested if CBD is effective in reducing aggression in Siamese fighting fish (Betta splendens) induced by territorial interactions. Betta fish were exposed to controls (water or acetone) and CBD treatments ranging from low, medium, and high (2, 10, and 20 mg CBD/L, respectively), and their behaviors after the visual introduction of an intruder fish were recorded. CBD reduced the odds of aggressive behavior in treated fish. Seventy-five percent of all control fish exhibited aggressive behaviors, while only 17% of CBD-treated fish displayed aggression. Especially, the low CBD dose seemed effective at preventing aggressive behaviors but fish also appeared more lethargic than in any of the other treatments. However, when CBD-treated fish displayed aggressive behaviors, CBD did not appear to reduce the amount of time fish spent being aggressive compared to aggressive fish that did not receive any CBD treatment. While the long-term effects of CBD still have to be examined, our study indicates that CBD might be effective in reducing aggression in Betta fish and potentially other pets.

PMID:40172839 | DOI:10.1097/FBP.0000000000000822

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Nevin Manimala Statistics

Power-enhanced two-sample mean tests for high-dimensional microbiome compositional data

Biometrics. 2025 Apr 2;81(2):ujaf034. doi: 10.1093/biomtc/ujaf034.

ABSTRACT

Testing differences in mean vectors is a fundamental task in the analysis of high-dimensional microbiome compositional data. Existing methods may suffer from low power if the underlying signal pattern is in a situation that does not favor the deployed test. In this work, we develop 2-sample power-enhanced mean tests for high-dimensional compositional data based on the combination of $P$-values, which integrates strengths from 2 popular types of tests: the maximum-type test and the quadratic-type test. We provide rigorous theoretical guarantees on the proposed tests, showing accurate Type-I error rate control and enhanced testing power. Our method boosts the testing power toward a broader alternative space, which yields robust performance across a wide range of signal pattern settings. Our methodology and theory also contribute to the literature on power enhancement and Gaussian approximation for high-dimensional hypothesis testing. We demonstrate the performance of our method on both simulated data and real-world microbiome data, showing that our proposed approach improves the testing power substantially compared to existing methods.

PMID:40171801 | DOI:10.1093/biomtc/ujaf034

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Nevin Manimala Statistics

Prevalence of bruxism in patients affected by epilepsy: a systematic review and meta-analysis

Acta Odontol Scand. 2025 Apr 2;84:155-164. doi: 10.2340/aos.v84.42959.

ABSTRACT

BACKGROUND: Bruxism, defined by the involuntary grinding or clenching of teeth, and epilepsy, a neurological ailment marked by recurring seizures, are both common conditions that can significantly affect persons’ quality of life. Although numerous studies have investigated the relationship between bruxism and epilepsy, the current evidence is ambiguous. This systematic review seeks to consolidate existing information to elucidate the association between bruxism and epilepsy.

METHODS: In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline, a systematic search was performed across electronic databases, including PubMed, Lilacs, and Web of Science. The search encompassed all pertinent publications published until September 2021. The inclusion criteria were established to encompass observational studies (cohort, case-control, cross-sectional) that investigated the relationship between bruxism and epilepsy in human populations.

RESULTS: The preliminary search produced a total of 142 articles. After a rigorous screening process, 3 studies were declared appropriate for inclusion in the systematic review. The research varied in design, sample size, and methodology, with some studying the prevalence of bruxism in epileptic patients, while others studied the prevalence of epilepsy in individuals with bruxism. Heterogeneity among the research was handled using proper statistical analyses.

CONCLUSION: The findings from the included studies suggested a probable link between bruxism and epilepsy. However, the evidence was uneven and equivocal, with some research indicating a favourable correlation, while others showed no meaningful relationship. Methodological restrictions, such as changes in diagnostic criteria and data collection procedures, could contribute to the observed inconsistencies. In addition, the possible influence of confounding factors, such as medication use and comorbidities, should be addressed in interpreting the data.

PMID:40171773 | DOI:10.2340/aos.v84.42959

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Nevin Manimala Statistics

Autologous and implant based immediate breast reconstructive trends following unilateral modified radical and radical mastectomy: a SEER database analysis

J Plast Surg Hand Surg. 2025 Apr 2;60:78-83. doi: 10.2340/jphs.v60.43198.

ABSTRACT

Longitudinal trends in breast reconstruction after modified radical mastectomy remain under described. This study aims to assess procedural trends in autologous reconstruction (AR) and implant-based reconstruction (IBR), to analyse demographic shifts in these patients, and to examine differences in oncologic management. This retrospective study utilizes the Surveillance, Epidemiology, and End Results (SEER) database to investigate trends in immediate breast reconstruction from 2000 to 2020 following unilateral modified radical and radical mastectomy. Demographic and oncologic variables were collected, and reconstruction types were categorised as IBR, AR, or a combination. Subgroup analyses compared IBR and AR patients, and demographic changes between the 2000-2010 and 2010-2020 cohorts were examined. Chi-square tests in R studio were used for statistical analysis. Of the 25,649 patients, 51.8% underwent IBR and 48.2% AR. AR patients were typically younger, more frequently Black, had higher incomes, and were less likely to live in rural areas compared to IBR patients. A shift from AR to IBR was observed, with AR decreasing from 41.8% in 2000 to 24.5% in 2020. Significant demographic changes in AR patients included increased age, higher proportions of Black and Asian patients, reduced income, and increased non-marital status. Oncologic management differed, as AR patients were less likely to have received chemotherapy and radiation prior to their reconstruction, and experienced longer reconstruction times compared to IBR patients. This study highlights a decline in AR and rising IBR popularity, and reveals evolving patient characteristics. Understanding these trends is crucial for equitable access and informed decision-making in breast cancer reconstructive care.

PMID:40171755 | DOI:10.2340/jphs.v60.43198

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Nevin Manimala Statistics

Terbinafine for prostate cancer: development of coated zein nanospheres for ameliorated pro-apoptosis in PC3 cells

Nanomedicine (Lond). 2025 Apr 2:1-17. doi: 10.1080/17435889.2025.2481823. Online ahead of print.

ABSTRACT

AIM: The purpose of this study was to investigate comparatively the anticancer potential of Terbinafine loaded Dextran Sulphate coated Zein nanospheres against human prostate cancer PC3 cells to enhance the repurposing profile of terbinafine utilizing optimized nano-sized delivery systems.

MATERIALS & METHODS: The formula was fabricated using the thin film hydration technique. Particle size analysis, drug diffusion, and encapsulation efficiency were considered when evaluating the fabricated formula, which were developed using a Box-Behnken statistical design.

RESULTS: Due to the formula optimization, the mean particle size was 273.2 ± 1.98 nm, the zeta potential was -38.4 ± 2.77 mV, and the amount released after 36 h was 97.4 ± 5.7%. The formula exhibited significantly reduced IC50 in PC3 cells by around 14-fold. A higher cellular uptake was observed. The cell cycle assay results obtained suppression of the proliferation, especially in the G0/G1 and S phases. This pro-apoptotic pattern of the optimized formula was confirmed by the increased mRNA expression of CASP3 and P53 and reduced expression of CDK1, CDK7, and CDK9. Furthermore, a higher production of reactive oxygen species was achieved.

CONCLUSION: The optimized formula revealed enhanced pro-apoptosis in PC3 cells which support the repurposing profile of terbinafine toward prostate cancer.

PMID:40171736 | DOI:10.1080/17435889.2025.2481823