Category: Statistics

Inquiry. 2025 Jan-Dec;62:469580251315348. doi: 10.1177/00469580251315348.

ABSTRACT

This study examined the interplay between physical workload, psychological stress, and the prevalence of work-related musculoskeletal disorders (WMSDs) among construction workers in Indonesia. This cross-sectional study used a purposive sampling technique to gather quantitative data from 409 respondents working in four construction companies through structured questionnaires. Data collection tools included the Copenhagen Psychosocial Questionnaire III (COPSOQ III), the K10 scale for psychosocial distress, and the Nordic Body Map for musculoskeletal symptoms. Independent variables encompassed demographic factors, physical work environment, and psychosocial aspects, while the dependent variable was the presence of work-related musculoskeletal disorders (WMSDs) symptoms over the past 7 days and 12 months. Descriptive statistics and logistic regression analyses were performed using IBM SPSS Statistics Grad Pack 29.0 PREMIUM. The study revealed a high prevalence of WMSDs among workers, with 36.2% reporting symptoms in the past 7 days and 31.5% in the past 12 months. These symptoms primarily affected the neck, shoulders, back, and waist. Both physical and psychosocial factors were found to the risk, with high levels of somatic stress and sleep disorders significantly increasing the likelihood of WMSDs. Psychological distress emerged as a particularly strong predictor to these disorders. The findings underscore the importance of implementing targeted interventions and safety policies to mitigate WMSDs risks and improve occupational health within the construction industry.

PMID:39885616 | DOI:10.1177/00469580251315348

BMC Nutr. 2025 Jan 30;11(1):26. doi: 10.1186/s40795-025-01011-7.

ABSTRACT

BACKGROUND: Human immunodeficiency virus continues to be a major global public health issue. Body mass index is a general indicator of nutritional status and has emerged as a powerful predictor of morbidity and mortality among adult PLHIV initiating antiretroviral therapy in resource-limited settings. However, there is a dearth of information regarding longitudinal changes in body mass index and its predictors among adult PLHIV in Ethiopia, particularly in the study area. This study aimed to assess body mass index changes and their predictors among adults living with HIV/AIDS who were receiving on antiretroviral therapy at Chiro General Hospital, Eastern Ethiopia from August 15, 2023 to September 30, 2023.

METHODS: A Facility-based retrospective cohort study was implemented among 1049 randomly selected charts of adults living with HIV/AIDS. The data were collected by reviewing charts of clients and antiretroviral therapy registers. The data were entered into Epi data statistical software version 4.6 and exported to SPSS version 25 for analysis. Descriptive statistics were used to describe the characteristics of the patients. A linear mixed effect model was used to identify the predictors of body mass index change. A P value of less than 0.05 was considered statistically significant.

RESULTS: Generally, in this study patients presented a linear increase in the mean BMI from 19 kg/m² baseline to 21.2 kg/m² at the 5th year of follow up. Moreover, the following variables were identified as independent predictors of BMI change: age (β = 0.58, 95% CI; 0.043, 0.072), marital status (β = -0.275, 95% CI: -0.457,-0.093 ), advanced WHO stage (β = -0.496, 95% CI: -0.548, -0.443 ), CD4 count (β = 0.001, 95% CI: 0.001, 0.001), duration of antiretroviral therapy (β = 0.005, 95% CI: 0.001,0.009), time of follow up (β = 0.205, 95% CI: 0.198,0.212), no ART shift (β = -0.844, 95% CI: -1.135, -0.552), no CPT (β = 0.591, 95% CI: 0.365,0.817), urban residence (β = 0.767, 95% CI:0.401,1.132) and good adherence to ART (β = 0.975, CI:0.302, 1.649).

CONCLUSION: There was a significant improvement in the mean BMI over time and a reduction in the rate of undernutrition during the follow-up period.

PMID:39885613 | DOI:10.1186/s40795-025-01011-7

Infect Dis Poverty. 2025 Jan 30;14(1):4. doi: 10.1186/s40249-025-01274-z.

ABSTRACT

BACKGROUND: Human visceral leishmaniasis (VL) is a systemic disease with high case-fatality rates and a widespread distribution. Continuous evaluation of the risk factors for VL is essential to ensure the effective implementation of prevention and control measures. The present study reviews the factors associated with VL in the Americas.

METHODS: This systematic review updates a previous 2013 report by including cross-sectional, cohort and case-control studies published between July 2011 and April 2024. Associations between VL and risk factors were analyzed using random-effects meta-analysis, subgroup analysis, and meta-regression models. Studies were classified according to level of evidence using the GRADE approach and the evolution in the quality of investigations was assessed.

RESULTS: Forty-six studies were included in the review and 21 variables were evaluated in the meta-analyses. Combination of all study types revealed that men had greater chances of VL than women, but the association was strong and significant only in case-control studies. Although higher chances of VL in children and in households with dogs or chickens/other fowl were identified in case-control studies, an inverse association was observed in cross-sectional and cohort studies. Higher chances of VL were associated with poor economic/living conditions, individuals living in domiciles with backyards or with seropositive dogs, and individuals with prior contact with infected household members/relatives/neighbors. The level of evidence for associations of VL with sex and age was classified as moderate whilst that for all other associations was either low or very low. The methodological quality of recent studies showed a positive progression but shortcomings were still evident regarding selection criteria and methods of data analysis.

CONCLUSION: While there is a higher incidence of symptomatic VL among men and children, the likelihood of infection is similar between the groups. There is insufficient evidence to support the claim that the presence of dogs or fowl at the domicile increases the chances of VL. However, socioeconomic and living conditions, as well as previous occurrence of human and canine VL, are influential factors. Future research should be conducted with greater statistical power and using molecular diagnostic techniques, preferably involving cohort studies in diverse Latin American countries.

PMID:39885606 | DOI:10.1186/s40249-025-01274-z

BMC Sports Sci Med Rehabil. 2025 Jan 30;17(1):15. doi: 10.1186/s13102-025-01063-z.

ABSTRACT

BACKGROUND: Insightful motion analysis provides valuable information for athlete health, a crucial aspect of sports medicine. This systematic review presents an analytical overview of the use of various sensors in motion analysis for sports injury assessment.

METHODS: A comprehensive search of PubMed/MEDLINE, Scopus, and Web of Science was conducted in February 2024 using search terms related to “sport”, “athlete”, “sensor-based technology”, “motion analysis”, and “injury.” Studies were included based on PCC (Participants, Concept, Context) criteria. Key data, including sensor types, motion data processing methods, injury and sport types, and application areas, were extracted and analyzed.

RESULTS: Forty-two studies met the inclusion criteria. Inertial measurement unit (IMU) sensors were the most commonly used for motion data collection. Sensor fusion techniques have gained traction, particularly for rehabilitation assessment. Knee injuries and joint sprains were the most frequently studied injuries, with statistical methods being the predominant approach to data analysis.

CONCLUSIONS: This review comprehensively explains sensor-based techniques in sports injury motion analysis. Significant research gaps, including the integration of advanced processing techniques, real-world applicability, and the inclusion of underrepresented domains such as adaptive sports, highlight opportunities for innovation. Bridging these gaps can drive the development of more effective, accessible, and personalized solutions in sports health.

PMID:39885587 | DOI:10.1186/s13102-025-01063-z

BMC Res Notes. 2025 Jan 30;18(1):43. doi: 10.1186/s13104-025-07101-w.

ABSTRACT

BACKGROUND: This study evaluated Health Care Workers’ (HCWs) knowledge, attitude, perceived compliance, and potential influencing factors related to Infection Prevention and Control (IPC) standards in the North Bank East region of The Gambia.

METHOD: The study was an analytic cross-sectional study, conducted in 2021 using a multistage sampling technique. Thirteen health facilities were sampled from the North Bank East Region of The Gambia. The sample size was calculated using the Cochrane formula, based on a healthcare worker population of 408, with a 95% confidence interval. Adjustments were made for a 10% non-response rate and a compliance level of 50%. A final sample size of 218 was used for the study. Descriptive statistics, chi-square, and logistic regression were done at a 95% confidence limit and an alpha level of 0.05. A p-value of 0.05 was considered statistically significant.

RESULTS: Among the 218 healthcare workers, the majority demonstrated adequate knowledge (86.24%) and a positive attitude (78.4%) toward Infection Prevention and Control (IPC). About half (50.5%) of the HCWs did not comply with IPC standards. Good attitude of HCWs [aOR = 3.13, 95%CI: 1.17-8.41, p-value = 0.023], accessibility of Personal Protective Equipment [aOR = 2.34, 95%CI: 1.01-5.38; p-value = 0.046], and monitoring of IPC practice [aOR = 3.95, 95%CI: 1.84-8.45; p-value = < 0.001] were independently associated with HCWs perceived compliance with IPC standards.

CONCLUSION: Although 188 (86.24%) HCWs displayed adequate knowledge of IPC standards, perceived compliance remains insufficient in Gambian healthcare facilities. To address this, the Ministry of Health should prioritize educational campaigns, and regular training to reinforce HCW knowledge, ensure Personal Protective Equipment (PPE) accessibility, and implement ongoing IPC practice monitoring among healthcare workers.

PMID:39885582 | DOI:10.1186/s13104-025-07101-w

Thromb J. 2025 Jan 30;23(1):9. doi: 10.1186/s12959-025-00685-0.

ABSTRACT

BACKGROUND: Nephrotic syndrome (NS) is associated with an increased risk of venous thromboembolism (VTE). Anticoagulants are widely used in the prevention of VTE in NS patients. The use of direct oral anticoagulants (DOACs) has not been studied intensively in NS patients. The aim of this study is to determine the efficacy and safety of DOACs compared to warfarin for prophylactic anticoagulation in patients with nephrotic syndrome.

METHODS: Retrospective analysis conducted in a tertiary hospital-based ambulatory anticoagulation clinic between 01/07/2016 and 29/11/2021. We aimed to evaluate the incidence of VTE, major bleeding, and non-major bleeding in both the DOACs and warfarin groups.

RESULTS: Fifty-seven patients were recruited, 31 patients were prescribed warfarin (54.4%), and 26 were on DOAC (45.6%). Two patients in the DOAC group developed VTE, while no subjects in the warfarin group developed VTE, however, the difference was not statistically significance (p = 0.2). Nine out of 31 patients in the warfarin group developed non-major bleeding compared to three patients in the DOAC group (p = 0.02). One patient developed major bleeding in each group DOAC group 1 (15.4%), warfarin 1 (12.9%) (p = 1.00). There was no statistically significant difference in major bleeding between DOAC and warfarin groups (p = 1.00).

CONCLUSION: In patients with NS, preliminary evidence suggests that DOACs have comparable efficacy as compared to warfarin when used as prophylaxis. Additionally, DOACs result in lower incidences of non-major bleeding. However, further studies are indicated to confirm the superiority of DOACs over warfarin.

PMID:39885575 | DOI:10.1186/s12959-025-00685-0

BioData Min. 2025 Jan 30;18(1):11. doi: 10.1186/s13040-025-00425-0.

ABSTRACT

BACKGROUND: This study employs a LSTM-FC neural networks to address the critical public health issue of child undernutrition in Ethiopia. By employing this method, the study aims classify children’s nutritional status and predict transitions between different undernutrition states over time. This analysis is based on longitudinal data extracted from the Young Lives cohort study, which tracked 1,997 Ethiopian children across five survey rounds conducted from 2002 to 2016. This paper applies rigorous data preprocessing, including handling missing values, normalization, and balancing, to ensure optimal model performance. Feature selection was performed using SHapley Additive exPlanations to identify key factors influencing nutritional status predictions. Hyperparameter tuning was thoroughly applied during model training to optimize performance. Furthermore, this paper compares the performance of LSTM-FC with existing baseline models to demonstrate its superiority. We used Python’s TensorFlow and Keras libraries on a GPU-equipped system for model training.

RESULTS: LSTM-FC demonstrated superior predictive accuracy and long-term forecasting compared to baseline models for assessing child nutritional status. The classification and prediction performance of the model showed high accuracy rates above 93%, with perfect predictions for Normal (N) and Stunted & Wasted (SW) categories, minimal errors in most other nutritional statuses, and slight over- or underestimations in a few instances. The LSTM-FC model demonstrates strong generalization performance across multiple folds, with high recall and consistent F1-scores, indicating its robustness in predicting nutritional status. We analyzed the prevalence of children’s nutritional status during their transition from late adolescence to early adulthood. The results show a notable decline in normal nutritional status among males, decreasing from 58.3% at age 5 to 33.5% by age 25. At the same time, the risk of severe undernutrition, including conditions of being underweight, stunted, and wasted (USW), increased from 1.3% to 9.4%.

CONCLUSIONS: The LSTM-FC model outperforms baseline methods in classifying and predicting Ethiopian children’s nutritional statuses. The findings reveal a critical rise in undernutrition, emphasizing the need for urgent public health interventions.

PMID:39885567 | DOI:10.1186/s13040-025-00425-0

BMC Res Notes. 2025 Jan 30;18(1):46. doi: 10.1186/s13104-025-07119-0.

ABSTRACT

BACKGROUND: Most children experience distress while visiting a dentist, above which the sound of the airotor and suction machine results in fear and difficulty in performing further procedures.

METHODS: This was a randomized controlled parallel-group study of 40 children aged 6-13 years who required cavity preparation via the airotor. The children were randomly allocated to either Group 1 (Piano music app; active distraction combined with audio analgesia) or Group 2 (basic behavioural guidance alone). Self-reported dental anxiety was measured via a modified child dental anxiety scale, and behavior was assessed via Venham’s and FLACC (Faces Legs Activity Cry and Consolability) scales. The data obtained were subjected to appropriate statistical analysis.

RESULTS: Self-reported dental anxiety was significantly lower in group 1 (p < 0.005). No significant difference between the groups was observed for the Venham and FLACC scores.

CONCLUSION: Compared with basic behavioural guidance alone, the use of active distraction with audio analgesia in the form of the piano music app significantly decreased the degree of dental anxiety caused by the use of the airotor. This also resulted in clinically better cooperation by the child during cavity preparation.

TRIAL REGISTRATION: Registered in the Clinical Trials Registry India (CTRI/2024/07/070160) dated 08/07/2024.

PMID:39885563 | DOI:10.1186/s13104-025-07119-0

Anim Microbiome. 2025 Jan 30;7(1):11. doi: 10.1186/s42523-024-00367-8.

ABSTRACT

Symbiotic microbiota are important drivers of host behaviour, health, and fitness. While most studies focus on humans, model organisms, and domestic or economically important species, research investigating the role of host microbiota in wild populations is rapidly accumulating. Most studies focus on the gut microbiota; however, skin and other glandular microbiota also play an important role in shaping traits that may impact host fitness. The uropygial gland is an important source of chemical cues and harbours diverse microbes that could mediate chemical communication in birds, so determining the factors most important in shaping host microbiota should improve our understanding of microbially-mediated chemical communication. Hypothesizing that temporal, geographic, and taxonomic effects influence host microbiota, we evaluated the effects of season, migration distance, and taxonomy on the uropygial gland microbiota of 18 passerine species from 11 families. By sampling 473 birds at a single stopover location during spring and fall migration and using 16S rRNA sequencing, we demonstrate that season, followed by migration distance, had the strongest influence on uropygial gland microbial community composition. While statistically significant, taxonomic family and species had only weak effects on gland microbiota. Given that temporal effects on gland microbiota were nearly ubiquitous among the species we tested, determining the consequences of and mechanisms driving this seasonal variation are important next steps.

PMID:39885562 | DOI:10.1186/s42523-024-00367-8

BioData Min. 2025 Jan 30;18(1):10. doi: 10.1186/s13040-025-00422-3.

ABSTRACT

BACKGROUND: The treatment effects are heterogenous across patients due to the differences in their microbiomes, which in turn implies that we can enhance the treatment effect by manipulating the patient’s microbiome profile. Then, the coadministration of microbiome-based dietary supplements/therapeutics along with the primary treatment has been the subject of intensive investigation. However, for this, we first need to comprehend which microbes help (or prevent) the treatment to cure the patient’s disease.

RESULTS: In this paper, we introduce a cloud platform, named microbiome causal machine learning (MiCML), for the analysis of treatment effects using microbiome profiles on user-friendly web environments. MiCML is in particular unique with the up-to-date features of (i) batch effect correction to mitigate systematic variation in collective large-scale microbiome data due to the differences in their underlying batches, and (ii) causal machine learning to estimate treatment effects with consistency and then discern microbial taxa that enhance (or lower) the efficacy of the primary treatment. We also stress that MiCML can handle the data from either randomized controlled trials or observational studies.

CONCLUSION: We describe MiCML as a useful analytic tool for microbiome-based personalized medicine. MiCML is freely available on our web server ( http://micml.micloud.kr ). MiCML can also be implemented locally on the user’s computer through our GitHub repository ( https://github.com/hk1785/micml ).

PMID:39885552 | DOI:10.1186/s13040-025-00422-3