Tag: pubmed

Niger J Clin Pract. 2026 Jan 1;29(1):43-49. doi: 10.4103/njcp.njcp_275_25. Epub 2026 Feb 3.

ABSTRACT

BACKGROUND: With the rapid spread of technology, excessive and uncontrolled digital device use has become a growing concern, especially among university students. This behavioral pattern, referred to as digital addiction, may negatively affect musculoskeletal health, cognitive function, mental wellbeing, and overall quality of life.

AIM: This study aims to enhance understanding of digital addiction by exploring its prevalence among university students and identifying related factors.

METHODS: A cross-sectional study was conducted among 203 university students to assess their digital addiction using the Digital Addiction Scale (DAS). Other factors were assessed through the Musculoskeletal Health Questionnaire (MSK-HQ), International Physical Activity Questionnaire Short Form, Pittsburgh Sleep Quality Index, Cognitive Failures Questionnaire (CFQ), Depression, Anxiety and Stress Scale-21 (DASS 21), Body Awareness Questionnaire, SF-12, and Jamar hand dynamometer. To identify DAS associated factors, multiple regression analysis was performed using DAS as the dependent variable.

RESULTS: The participants’ mean age was 21.11 ± 1.41 years, with a body mass index of 22.35 ± 3.54 kg/m². About 51.2% of the study participants had high digital addiction. While MSK-HQ (P = 0.001) and SF-12 (Mental Component Score) (P = 0.012) were significantly lower in the high digital addiction group, CFQ (P < 0.001) and DASS 21 (P = 0.037) were found to be higher. Multiple regression analysis showed that DAS was only associated with MSK-HQ (P = 0.013, B = -0.373, 95% CI: -0.66 to -0.08) and CFQ (P = 0.002, B = 0.260, 95% CI: 0.09 to 0.42).

CONCLUSION: The study highlights disparities in musculoskeletal health, cognitive levels, mental health, and quality of life among students based on levels of digital addiction, with higher addiction correlating to poorer musculoskeletal health and increased cognitive errors.

PMID:41631305 | DOI:10.4103/njcp.njcp_275_25

Niger J Clin Pract. 2026 Jan 1;29(1):9-16. doi: 10.4103/njcp.njcp_404_25. Epub 2026 Feb 3.

ABSTRACT

BACKGROUND: While individual antioxidants have been linked to reduced cardiovascular risk, the association between overall dietary antioxidant intake and subclinical atherosclerosis remains unclear.

AIM: To examine the association between Composite Dietary Antioxidant Index (CDAI) and Carotid Intima-Media Thickness (CIMT) as a marker of subclinical atherosclerosis.

METHODS: A case-control study was conducted among 210 Saudi adults (105 with subclinical atherosclerosis and 105 age- and sex-matched controls) recruited from internal medicine clinics at King Abdulaziz University Hospital. Dietary intake was assessed using a validated food frequency questionnaire. CDAI was calculated from energy-adjusted, standardized intakes of six antioxidants: vitamins A, C, E, manganese, selenium, and zinc. Anthropometric data, blood pressure, lifestyle factors, and medical history were collected via structured interviews and clinical measurements. CIMT was assessed bilaterally using high-resolution B-mode ultrasound. Statistical analyses included group comparisons, correlation tests, and multivariable regression adjusting for potential confounders.

RESULTS: CDAI was inversely associated with CIMT (β = -0.184, P < 0.01) after adjusting for age, sex, BMI, blood pressure, smoking, and physical inactivity. Participants in the highest CDAI quartile had significantly lower mean CIMT than those in the lowest quartile (P < 0.05). Among CDAI components, only vitamin E intake was significantly lower in the subclinical atherosclerosis group (P < 0.05).

CONCLUSION: Higher dietary antioxidant intake, as assessed by CDAI, is associated with reduced CIMT and lower risk of subclinical atherosclerosis. Longitudinal studies are recommended to clarify causality and explore underlying mechanisms.

PMID:41631301 | DOI:10.4103/njcp.njcp_404_25

Niger J Clin Pract. 2026 Jan 1;29(1):1-8. doi: 10.4103/njcp.njcp_319_25. Epub 2026 Feb 3.

ABSTRACT

BACKGROUND: Cesarean delivery is rising globally, and Sub-Saharan Africa is no exception.

AIM: This study investigated the prevalence and factors associated with cesarean delivery in Kigali, Rwanda.

METHODS: This hospital-based cross-sectional study was carried out in two hospitals in Kigali, Rwanda. A questionnaire was used to collect sociodemographic and obstetrical data, including mode of delivery. Weight, height, and hemoglobin level were measured using standard procedures. Multivariate binary analysis was performed.

RESULTS: In this study, 445 pregnant women were included. The median (interquartile [IQR]) age and parity were 30.0 (26.0‒35.0) years and 1.0 (0.0‒3.0), respectively. One hundred and eleven (24.9%) women were delivered via cesarean, of whom 66 (59.5%) were delivered via emergency cesarean and the remaining 45 (40.5%) via elective cesarean. In multivariate logistic regression, maternal age (adjusted odds ratio [AOR] = 1.11, 95% confidence interval [CI] 1.05‒1.16), having a husband with educational attainment of secondary or less (AOR = 1.73, 95% 1.08‒2.80), and a history of miscarriage (AOR = 3.77, 95% CI 2.02‒7.03) were significantly associated with cesarean delivery. There was no significant association between cesarean delivery and parity, anemia, or low birth weight.

CONCLUSION: One out of four pregnant women in Kigali was delivered via cesarean regardless of their parity. Age and history of miscarriage can be used as a predictor for cesarean delivery in Rwanda. Additional socio-epidemiological research is recommended to explore the impact of increasing maternal age without an increase in parity and low educational levels among husbands on the mode of delivery in Rwanda.

PMID:41631300 | DOI:10.4103/njcp.njcp_319_25

J Sports Sci. 2026 Feb 3:1-12. doi: 10.1080/02640414.2026.2623564. Online ahead of print.

ABSTRACT

Rowing technique to achieve optimal boat velocity depends on individual rowing style. Traditionally, quantification of rowing technique has involved discrete point analysis, limiting the understanding and interpretation of the stroke cycle with data loss occurring between the reported metrics. However, higher dimensional statistical approaches, such as functional data analysis (FDA), can facilitate enhanced understandings of temporal patterns within time series data such as force and acceleration profiles. The aim of the study was to distinguish technique characteristics during single sculling using a novel functional clustering method considering the whole stroke cycle for analysis. Twenty-five elite rowers (12 females, 25 ± 2.5 years and 13 males, 27 ± 2.8 years) completed an on-water single sculling biomechanics assessment. Gate force, foot-stretcher force and boat acceleration were independently fitted with a clustering model, with separate models created for each gender. Boat acceleration exhibited the most variability of the three independent variables in cluster group patterns and individual rowers. Results revealed more than one approach to achieving optimal boat velocity at the elite level and technical coaching strategies should be based on the individual rather than attempting to replicate successful elite rowers’ technique who may exhibit a different set of physical and technical attributes.

PMID:41631299 | DOI:10.1080/02640414.2026.2623564

J Orthop. 2025 Jul 3;66:293-296. doi: 10.1016/j.jor.2025.06.031. eCollection 2025 Aug.

ABSTRACT

INTRODUCTION: Hospital-acquired COVID-19 poses a significant threat to orthopedic patients, a population already at risk due to immobility, comorbidities, and extended hospital stays. The combined burden of musculoskeletal injury and SARS-CoV-2 infection may prolong recovery, increase complications, and influence survival. This study aimed to evaluate the impact of nosocomial COVID-19 on hospitalization outcomes in orthopedic patients.

METHODS: A retrospective cohort study was conducted at a tertiary orthopedic center, analyzing patients hospitalized between 2020 and 2022. COVID-19-positive patients (n = 84) who acquired the infection during admission were matched 1:1 with uninfected controls (n = 84) based on age, gender, and BMI. Data were collected on demographics, comorbidities, hospitalization duration, complications, ICU transfers, and mortality outcomes. Statistical analysis included t-tests, Mann-Whitney U tests, and significance set at p < 0.05.

RESULTS: COVID-19-positive patients experienced significantly longer hospital stays (median 13.9 vs. 4.3 days, p < 0.001) and shorter time to death post-discharge (median 135 vs. 540 days, p = 0.027) compared to controls. Mortality rates were similar between groups (23.8 % vs. 22.6 %, p = 0.86), and ICU admissions occurred only in the COVID-19 group (3.3 %). Baseline characteristics and comorbidity profiles were comparable.

CONCLUSION: Orthopedic patients who contract COVID-19 during hospitalization face a prolonged hospital course and earlier mortality despite similar overall death rates. These findings highlight the importance of infection prevention strategies, including preoperative screening and deferring elective procedures in infected individuals, to mitigate complications associated with immobility, delayed recovery, and systemic decline.

PMID:41631287 | PMC:PMC12861629 | DOI:10.1016/j.jor.2025.06.031

J Orthop. 2025 Jul 1;66:271-281. doi: 10.1016/j.jor.2025.06.021. eCollection 2025 Aug.

ABSTRACT

BACKGROUND: The reported incidence of the posterior cruciate ligament (PCL) injury ranges from 3 to 23 % of all knee injuries. Several injury patterns of the PCL have been described, including intra-substance, femoral detachment, and tibial avulsion, of which the last two are more common. Displaced PCL avulsion injury from the tibial side requires surgical fixation; however, there is no consensus in the literature regarding the optimal surgical approach for the fixation of these injuries.

PURPOSE: To perform a systematic review and meta-analysis of the outcomes and complications of arthroscopic and open fixation of displaced tibial side PCL avulsion fractures.

METHODS: We performed a primary electronic search across PubMed, Embase, Scopus, and Cochrane Library databases and looked for comparative studies that evaluated and compared the outcomes of arthroscopic versus open reduction and fixation of displaced tibial side PCL avulsion fractures. Statistical analyses were executed with the software RevMan-5.4.1.

RESULTS: This meta-analysis included two RCTs, one prospective and seven retrospective comparative studies. Evaluation across all ten studies suggested no statistically significant difference for arthroscopic versus open fixation in terms of postoperative International Knee Documentation Committee (IKDC) score (MD 4.43 [-0.73, 9.42; p = 0.09]), Lysholm score (MD 2.69 [-1.07,6.45; p = 0.16], knee range of motion (ROM) (MD -1.08 [-2.80,0.63; p = 0.21]), complications (OR1.75 [0.86, 3.54; P = 0.12]), Tegner activity (MD 0.14 [-0.46,0.74; p = 0.64]), posterior tibial translation (PTT) (MD -0.60 [-1.51,0.31; p = 0.20, posterior drawer test (PDT), operating time (MD 12.03 [-0.47, 24.53; p = 0.06]), and length of hospital stay. The fracture union rate was 98.77 % in the arthroscopic group and 100 % in the open fixation group, with comparable union time. There is a significantly lesser amount of blood loss in the arthroscopic group compared to the open group.

CONCLUSION: Current evidence shows comparable outcomes and complications for tibial side PCL avulsion fracture fixation through arthroscopic or open methods.

PMID:41631286 | PMC:PMC12861645 | DOI:10.1016/j.jor.2025.06.021

New Microbes New Infect. 2026 Jan 22;70:101710. doi: 10.1016/j.nmni.2026.101710. eCollection 2026 Apr.

NO ABSTRACT

PMID:41631275 | PMC:PMC12860729 | DOI:10.1016/j.nmni.2026.101710

Hosp Pharm. 2026 Jan 30:00185787251405374. doi: 10.1177/00185787251405374. Online ahead of print.

ABSTRACT

BACKGROUND: The study aimed to assess pharmacy professionals’ attitudes, perceptions, practices, and concerns about using ChatGPT in routine clinical duties in Pakistan.

METHODS: A descriptive cross-sectional study was conducted from 1 September 2024 to 1 April 2025. A self-administered questionnaire was distributed among pharmacy professionals employed in hospitals, communities, academic institutes, industries and other healthcare settings. A convenience sampling technique was utilized to recruit 405 participants. Data was analyzed using IBM SPSS statistics version 30, employing descriptive and inferential statistics, including Spearman’s rank correlation, chi-square test, and binary logistic regression analysis.

RESULTS: Among 405 participants, the majority were male (210, 51.9%), 230 (56.8%) participants were aged between 23 and 33 years, 196 (48.4%) participants identified as single. Regarding pharmacy positions, 115 participants (28.4%) were hospital pharmacists, and the majority, 145 participants (35.8%), possessed professional experience ranging from 1 to 5 years. Furthermore, 271 participants (67.0%) reported familiarity with AI technology in pharmacy practice. Majority of participants (n = 228, 56.3%) demonstrated a positive attitude, while (n = 222, 54.8%) exhibited a positive perception, and (n = 232, 57.3%) reported good practice toward ChatGPT integration. Additionally, 56.0% (n = 227) of participants exhibited higher concerns regarding the integration of ChatGPT.

CONCLUSION: The study findings indicate that more than half of the pharmacists demonstrated positive attitudes, perceptions, and good practices regarding using ChatGPT in pharmacy practice. Key concerns about its use include ethical considerations, privacy issues, data accuracy, and potential for bias. This highlights the necessity for extensive instructional programs to encourage educated and responsible use of ChatGPT in pharmacy practice. Future research should investigate developing and implementing customized training programs and protocols to guarantee ChatGPT’s secure and efficient incorporation into pharmacy processes for enhanced patient care.

PMID:41631268 | PMC:PMC12861419 | DOI:10.1177/00185787251405374

Data Brief. 2026 Jan 15;65:112479. doi: 10.1016/j.dib.2026.112479. eCollection 2026 Apr.

ABSTRACT

This article describes a dataset generated from the Indonesian adaptation of the Center for Epidemiologic Studies Depression Scale (CES-D). The dataset consists of responses collected from 236 emerging adults aged 18-29 years residing in Greater Jakarta, Indonesia, of which 221 valid responses were retained after applying eligibility criteria. The instrument was translated and culturally adapted following international guidelines, including forward-backward translation and expert review to ensure conceptual and linguistic equivalence. The dataset includes responses to 20 self-report items assessing depressive symptoms, demographic information (age, gender, education), and statistical outputs derived from reliability and validity analyses. Confirmatory Factor Analysis (CFA) was conducted with indices including Chi-square (χ²), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), and Standardized Root Mean Square Residual (SRMR). Reliability measures include Cronbach’s alpha (α) and composite reliability coefficients.

PMID:41631263 | PMC:PMC12860919 | DOI:10.1016/j.dib.2026.112479

Data Brief. 2026 Jan 13;65:112461. doi: 10.1016/j.dib.2026.112461. eCollection 2026 Apr.

ABSTRACT

This dataset presents acoustic emission (AE) recordings collected from woodboring insect-infested and non-infested wood samples and cultural heritage objects. Data acquisition was conducted across four institutions: Haute École Arc (HE-Arc), Switzerland; Canadian Museum of History (CMH), Canada; National Gallery of Canada (NGC), Canada; and Musée National de l’Automobile (MNA), France; from April to July 2025. The recordings were captured using Vallen VS900-M sensors with AEP5 preamplifiers set to 34dB gain and AMSY-6 4-channel chassis, employing continuous acoustic emission monitoring at 2 MHz sampling rate. Each experiment utilized three sensors positioned on test objects and one reference sensor facing up to record ambient noise conditions. The dataset comprises approximately 440.9 hours of recordings distributed across the four collection sites. The dataset includes four main components: raw Vallen AE database files (.tradb format), processed statistical data exported as CSV files, contextual images documenting setups and sensor placements, and Python script for statistical data processing. Each experiment is documented with duration, material specifications, coupling methods (renaissance wax, cyclododecane, or mechanical fastening), environmental conditions, and infestation labels. The dataset’s structure enables multiple research applications. The time-series statistical features and binary classification labels (infested/non-infested) provide a foundation for supervised machine learning model development. The diverse experimental conditions across four geographic locations, varying coupling methods, and different ambient environments offer opportunities to evaluate model generalization and robustness. Reference sensor recordings captured simultaneously with each experiment allow for ambient noise characterization studies and development of noise filtering methodologies. The combination of raw acoustic data and contextual documentation makes this dataset suitable for comparative studies of different signal processing approaches and feature extraction techniques in acoustic emission analysis for heritage conservation applications.

PMID:41631262 | PMC:PMC12861295 | DOI:10.1016/j.dib.2026.112461