Category: Statistics

J Econ Entomol. 2025 Sep 9:toaf204. doi: 10.1093/jee/toaf204. Online ahead of print.

ABSTRACT

The Citrus Under Protective Screen is a novel production system implemented to grow citrus free of huanglongbing disease vectored by Asian citrus psyllid, Diaphorina citri. Other significant pests such as mites, scales, thrips, mealybugs, and leafminers, as well as parasitoids and small predators, have been identified from Citrus Under Protective Screen and require management. Chrysomphalus aonidum (L.), an armored scale is a major pest of citrus. We determined the incidence of C. aonidum and parasitoid Aphytis melinus in 4-quarter-acre Citrus Under Protective Screen structures and open-air controls planted with grapefruit (Citrus paradisi). The greatest difference between the 2 production systems in temperature and humidity was observed using daily maximum values. Except for 2 of the 26 mo of study, the maximum daily temperature was significantly higher in the Citrus Under Protective Screen than in open-air, ranging from -0.6 to 16.1 °C. The maximum relative humidity between the 2 systems averaged 91% to 99%. C. aonidum was exclusively found in the in-ground trees in the Citrus Under Protective Screen, infesting 11% to 12% of trees from 2020 to 2022. The density of C. aonidum increased from 2020-2021 to 2021-2022 sampling cycle, averaging 7.81/cm2 and 15.55/cm2 on the leaves, respectively, and 3.09/cm2 and 5.63/cm2 on fruit, respectively. A. melinus captures on the yellow sticky cards were significantly higher in the Citrus Under Protective Screen than in open-air. Significantly higher numbers of C. aonidum were parasitized on leaves than on fruit, averaging 19% to 23% and 0.78% to 1.53%, respectively. Findings suggest the risk of C. aonidum infestation and prospects for biological control in Citrus Under Protective Screen.

PMID:40925045 | DOI:10.1093/jee/toaf204

J Econ Entomol. 2025 Sep 9:toaf204. doi: 10.1093/jee/toaf204. Online ahead of print.

ABSTRACT

The Citrus Under Protective Screen is a novel production system implemented to grow citrus free of huanglongbing disease vectored by Asian citrus psyllid, Diaphorina citri. Other significant pests such as mites, scales, thrips, mealybugs, and leafminers, as well as parasitoids and small predators, have been identified from Citrus Under Protective Screen and require management. Chrysomphalus aonidum (L.), an armored scale is a major pest of citrus. We determined the incidence of C. aonidum and parasitoid Aphytis melinus in 4-quarter-acre Citrus Under Protective Screen structures and open-air controls planted with grapefruit (Citrus paradisi). The greatest difference between the 2 production systems in temperature and humidity was observed using daily maximum values. Except for 2 of the 26 mo of study, the maximum daily temperature was significantly higher in the Citrus Under Protective Screen than in open-air, ranging from -0.6 to 16.1 °C. The maximum relative humidity between the 2 systems averaged 91% to 99%. C. aonidum was exclusively found in the in-ground trees in the Citrus Under Protective Screen, infesting 11% to 12% of trees from 2020 to 2022. The density of C. aonidum increased from 2020-2021 to 2021-2022 sampling cycle, averaging 7.81/cm2 and 15.55/cm2 on the leaves, respectively, and 3.09/cm2 and 5.63/cm2 on fruit, respectively. A. melinus captures on the yellow sticky cards were significantly higher in the Citrus Under Protective Screen than in open-air. Significantly higher numbers of C. aonidum were parasitized on leaves than on fruit, averaging 19% to 23% and 0.78% to 1.53%, respectively. Findings suggest the risk of C. aonidum infestation and prospects for biological control in Citrus Under Protective Screen.

PMID:40925045 | DOI:10.1093/jee/toaf204

Turk J Pediatr. 2025 Sep 1;67(4):473-482. doi: 10.24953/turkjpediatr.2025.5850.

ABSTRACT

BACKGROUND: With the development of technology, easier access to the internet and its excessive use have led to problematic internet use (PIU). The prevalence of PIU and its association with lifestyle behaviors in adolescents have become subjects of increasing academic interest. This study aimed to determine the prevalence of PIU among Turkish high school students and to investigate its association with sleep, physical activity and dietary habits.

METHODS: This cross-sectional study was conducted on high school students between October 2019 and March 2020. Participants completed a questionnaire regarding demographic characteristics, internet use, lifestyle habits and the “Young Internet Addiction Test-Short Form (YIAT-SF)”.

RESULTS: Among the total 951 participants, the mean age was 15.3±1.0 years, 42.3% were female, and the prevalence of PIU was determined as 12.1%. It was shown that having daily internet usage time ≥2 hours on weekdays, having at least one type of sleep problem, having breakfast less than 3 days per week, eating salty snacks ≥3 days per week, consuming sugary-carbonated drinks ≥3 days per week were associated with PIU.

CONCLUSIONS: PIU is a widespread public health problem that is negatively associated with the daily health habits of adolescents. There is a need for nationwide school screening programs for this problem and rehabilitation of adolescents diagnosed with PIU.

PMID:40925033 | DOI:10.24953/turkjpediatr.2025.5850

Turk J Pediatr. 2025 Sep 1;67(4):559-568. doi: 10.24953/turkjpediatr.2025.6171.

ABSTRACT

BACKROUND: Leukemia is the most common childhood malignancy and often presents with nonspecific symptoms, which may lead to delays in diagnosis. Early recognition of clinical signs and laboratory abnormalities is essential to ensure timely referral and improve outcomes. This study assesses the clinical and laboratory characteristics of pediatric patients with acute and relapsed leukemia, points out key considerations during diagnosis, and investigates potential factors contributing to delayed diagnosis.

METHODS: A retrospective analysis was performed on pediatric patients diagnosed with leukemia at a tertiary care hospital between the years 1986 and 2020. Early diagnosis was defined as a diagnosis made within 20 days of symptom onset.

RESULTS: Among the 378 patients, fatigue was the most frequently reported symptom, followed by fever and bone or joint pain. Common laboratory abnormalities included anemia (83%), thrombocytopenia (80%), and leukocytosis (46%). Bone or joint pain (p< 0.001), mucosal bleeding (p=0.013), and pallor (p=0.005) were significantly associated with late diagnosis. In contrast, lymphadenopathy (p=0.014) and bone tenderness (p=0.024) were linked to earlier recognition. Among laboratory findings, low hemoglobin levels were associated with early diagnosis (p=0.023) and elevated platelet count was also significantly related to delayed diagnosis (p=0.028). In relapsed leukemia cases, abnormal blood count findings were common, and neurological symptoms were observed more frequently compared to acute leukemia patients.

CONCLUSIONS: Fatigue, fever, and bone or joint pain were identified as the most common presenting symptoms in acute leukemia cases, while hepatomegaly, splenomegaly, and lymphadenopathy were the predominant physical findings. Bone or joint pain, mucosal bleeding, and pallor were associated with late diagnosis, whereas lymphadenopathy and bone tenderness appeared to facilitate earlier recognition.

PMID:40925026 | DOI:10.24953/turkjpediatr.2025.6171

JMIR Res Protoc. 2025 Sep 9;14:e69716. doi: 10.2196/69716.

ABSTRACT

BACKGROUND: In-hospital cardiac arrest (IHCA) remains a public health conundrum with high morbidity and mortality rates. While early identification of high-risk patients could enable preventive interventions and improve survival, evidence on the effectiveness of current prediction methods remains inconclusive. Limited research exists on patients’ prearrest pathophysiological status and predictive and prognostic factors of IHCA, highlighting the need for a comprehensive synthesis of predictive methodologies.

OBJECTIVE: This scoping review aims to synthesize and critically evaluate the quality and quantity of clinical features and machine learning (ML) models for predicting IHCA. The review will evaluate temporal characteristics, predictive and prognostic values of prearrest clinical features, and model performance metrics.

METHODS: This scoping review follows the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines and aims to synthesize studies that used ML algorithms to predict IHCA published between April 2009 and April 2024. We will conduct a comprehensive search using 4 major databases: PubMed, Web of Science, IEEE Xplore, and Embase. The inclusion criteria are peer-reviewed, English-language studies that explore ML applications for predicting IHCA in adult patients (aged ≥18 years). Exclusion criteria include review articles, preprints, non-English-language studies, and studies without specific ML metrics for IHCA prediction. Two independent reviewers will conduct the screening and data extraction using Rayyan for deduplication and ensuring study eligibility. Descriptive statistics will be used to summarize the data, and a narrative synthesis will provide insights into the clinical features used in the models, the performance metrics, and any gaps in the literature.

RESULTS: A total of 2479 records were identified between April 2009-April 2024. After removing duplicates and conducting screening, 16 studies have been included in the review. Data extraction and synthesis are ongoing and are expected to be completed by June 2025. The anticipated results from this review will provide a comprehensive overview of the clinical predictors of IHCA used in ML models, including commonly reported clinical features such as vital signs, biomarkers, and comorbidities. We expect to highlight variations in data quality and quantity across studies, which may influence model performance.

CONCLUSIONS: This study will contribute to advancing ML applications for IHCA prediction by addressing data challenges and promoting standardization to improve the clinical decision-making process. The results of this review are expected to inform future studies; promote consistency in the reporting of clinical features; and, ultimately, enhance the decision-making process in clinical settings, potentially leading to better outcomes for patients experiencing IHCA.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/69716.

PMID:40925002 | DOI:10.2196/69716

J Med Internet Res. 2025 Sep 9;27:e78810. doi: 10.2196/78810.

ABSTRACT

BACKGROUND: Mobile health (mHealth) interventions can be effective for people living with HIV, who are sensitive to privacy breach risks. Understanding the perceived experiences of intervention participants can provide comprehensive insights into potential users and predict intervention effectiveness. Thus, it is necessary to plan engagement measurement and consider ways to enhance engagement during the app development phase.

OBJECTIVE: This study aims to evaluate engagement with a mHealth app using the engagement index and time and to examine differences in engagement according to participant characteristics.

METHODS: This observational study, conducted from March 27 to August 31, 2024, was based on an engagement evaluation framework. A total of 261 people living with HIV across 13 medical institutions and 3 related organizations in South Korea engaged in an app-based intervention for 4 weeks. Self-reported surveys were conducted before and after the app usage period, and usage data were collected during the intervention to assess user engagement. User engagement was evaluated using 2 measures: engagement index and engagement time. The engagement index represents a standardized percentage derived from 5 subindices: click depth, loyalty, recency, feedback, and interaction.

RESULTS: The median engagement index and time were 67.6% (IQR 59.7-74.1) and 27.2 minutes (IQR 4.9-81.4), respectively, with a statistically significant positive correlation between the two (ρ=0.589; P<.001). The engagement index was higher among those with self-help group participation (U=6014.0, z=-2.49; P=.01). There were no differences in engagement index and time according to other personal characteristics.

CONCLUSIONS: When developing mHealth apps for people living with HIV, it is essential to track both objective indicators such as login data and subjective indicators such as patient experience for comprehensive intervention evaluation. Based on this study’s results, high engagement suggests that apps should prioritize user needs through rewards, privacy protection, tailored information, and esthetic features. While the app in this study demonstrated inclusive usability, targeted support strategies may benefit users without self-help group participation.

PMID:40925000 | DOI:10.2196/78810

JMIR Hum Factors. 2025 Sep 9;12:e69934. doi: 10.2196/69934.

ABSTRACT

BACKGROUND: Out-of-hospital cardiac arrests (OHCAs) are a leading cause of death worldwide, yet first responder apps can significantly improve outcomes by mobilizing citizens to perform cardiopulmonary resuscitation before professional help arrives. Despite their importance, limited research has examined the psychological and behavioral factors that influence individuals’ willingness to adopt these apps.

OBJECTIVE: Given that first responder app use involves elements of both technology adoption and preventive health behavior, it is essential to examine this behavior from multiple theoretical perspectives. Building on the unified theory of acceptance and use of technology (UTAUT) and health belief model (HBM), this study therefore developed an integrative framework to explain which behavioral determinants and demographic and health-related factors drive an individual’s willingness to install a first responder app for OHCA.

METHODS: We conducted a web-based cross-sectional survey (N=3660; mean age 49.95, SD 16.75 years; n=1909, 52.2% women) in June 2024 among Belgian adults. Behavioral determinants (UTAUT and HBM constructs), demographic (eg, age), and health-related (eg, cardiopulmonary resuscitation training experience) variables were measured using (multi-item) scales. Willingness to install the app served as the outcome variable. We developed a structural equation model using the Lavaan package in R and specified regression paths, on the one hand, between the behavioral determinants and willingness to install the app, and on the other hand, between the demographic and health-related factors and the behavioral determinants. Additionally, we conducted multiple group analyses to examine the moderating role of demographic and health-related factors on the relationships between the behavioral determinants and the willingness to install the app.

RESULTS: Our results revealed that 2 UTAUT variables (ie, facilitating conditions: β=.07; P=.003 and social influence: β=.16; P<.001) and 3 HBM variables (ie, perceived susceptibility: β=.06; P=.003, perceived barriers: β=-.29; P<.001, and perceived benefits: β=.38; P<.001) were associated with willingness to install a first responder app for OHCA. Additionally, most demographic and health-related factors were indirectly related to willingness via behavioral determinants, with age being the sole moderator. Specifically, a negative association between perceived severity and willingness was only observed among older adults. In addition, the positive relationship between perceived benefits and willingness was stronger for older adults compared to younger ones.

CONCLUSIONS: Overall, the results of this study have both theoretical and practical implications. Theoretically, this study finds its relevance in extending the UTAUT and HBM to altruistic mobile health apps and advancing our understanding of technology adoption in health contexts. Practically, the study’s findings could inform real-life health campaigns aimed at enhancing citizen participation in first responder systems.

PMID:40924999 | DOI:10.2196/69934

J Pediatr Hematol Oncol. 2025 Sep 8. doi: 10.1097/MPH.0000000000003124. Online ahead of print.

ABSTRACT

BACKGROUND: Rhabdomyosarcoma (RMS) typically responds well to a combination of treatments with favorable prognosis in children 1 to 9 years old. However, infants may fare worse due to receiving less aggressive local therapy for concerns about long-term effects of surgery/radiation. This study investigates the clinical characteristics, treatment approach, and survival outcomes of RMS in children under 2.

METHODS: We reviewed retrospectively children younger than 2 years with newly diagnosed RMS treated from January 2002 until December 2022 at King Hussein Cancer Center. Demographics, clinical characteristics, and outcomes were analyzed. Statistical analysis included descriptive statistics and survival analysis using Kaplan-Meier methods. All cases were reviewed in a multidisciplinary clinic comprising experienced radiotherapists and surgeons.

RESULTS: We identified 34 cases of RMS in patients younger than 2 years at diagnosis. The median age was 13 months, with 70.6% males. The most common tumor site was bladder/prostate (N=13, 38%), followed by orbit (N=5, 14.7%), the predominant subtype was embryonal (N=30). Risk-stratification categorized 17.6% as low-risk and 79.4% as intermediate-risk. Twenty-five patients had tumors >5 cm, with metastasis in 6 (17.6%). All patients received neo-adjuvant chemotherapy, local control was by radiotherapy only (n=12, 35.3%), combined surgery and radiotherapy (n=11, 32.4%), or surgery alone (n=3, 8.8%). The 5-year event-free and overall survival rates were 55.1% and 57.5%, respectively. Fourteen patients experienced relapse/progression, with local relapse the most common pattern. TNM stage, clinical group, metastasis at diagnosis, and radiotherapy use significantly impacted survival.

CONCLUSIONS: Children under 2 years of age with RMS face significant challenges, with high local recurrence rates and suboptimal survival outcomes compared with older pediatric patients. Our findings highlight the need for tailored treatment approaches that balance effective local control with minimizing long-term toxicity.

PMID:40924982 | DOI:10.1097/MPH.0000000000003124

JCO Glob Oncol. 2025 May;11:e2500150. doi: 10.1200/GO-25-00150. Epub 2025 Sep 9.

ABSTRACT

PURPOSE: Expanding high-risk human papillomavirus (HPV) vaccine coverage in resource-constrained settings is critical to bridging the cervical cancer gap and achieving the global action plan for elimination. Mobile health (mHealth) technology via short message services (SMS) has the potential to improve HPV vaccination uptake. The mHealth-HPVac study evaluated the effectiveness of mHealth interventions in increasing HPV vaccine uptake among mothers of unvaccinated girls aged 9-14 years in Lagos, Nigeria.

METHODS: A randomized controlled trial was conducted at the Lagos University Teaching Hospital between June 2024 and March 2025. We randomly assigned n = 180 eligible mothers to either a text message (intervention) or a usual care (control) arm. The primary analysis was conducted using the intention-to-treat principle. Bivariable and multivariable logistic regression models were performed to compare HPV vaccination uptake between the two arms, adjusting for potential confounders using odds ratios (ORs) and 95% CIs.

RESULTS: mHealth intervention significantly increased HPV vaccination uptake among mothers of vaccine-eligible girls (adjusted odds ratio [adj OR], 3.05 [95% CI, 1.61 to 5.77]; P = .001). Higher education level was also significantly associated with increased vaccine uptake (adj OR, 3.35 [95% CI, 1.77 to 6.33]; P < .001). There were no significant interaction effects by baseline characteristics on the association between mHealth intervention and HPV vaccine uptake.

CONCLUSION: The study showed that mHealth interventions significantly improve HPV vaccine uptake. Integrating mHealth strategies into routine immunization programs could be a scalable and cost-effective approach to increasing HPV vaccination coverage. However, future multicenter studies should consider using cluster randomization at the facility level to better optimize mobile interventions for diverse populations, identify the key drivers of successful SMS-based mHealth interventions, and gain deeper insights into the complex barriers to HPV vaccination uptake.

PMID:40924973 | DOI:10.1200/GO-25-00150

Neurol Neuroimmunol Neuroinflamm. 2025 Nov;12(6):e200472. doi: 10.1212/NXI.0000000000200472. Epub 2025 Sep 9.

ABSTRACT

BACKGROUND AND OBJECTIVES: Myelitis is a relatively common clinical entity for neurologists, with diverse underlying causes. The aim of this study was to describe the incidence of myelitis, its causes, clinical presentation, and factors predicting functional outcomes and relapses.

METHODS: Using the Swedish National Patient Registry, we identified all adult patients in Stockholm County between 2008 and 2018 using International Classification of Diseases, 10th Edition (ICD-10) codes likely to include myelitis. We collected medical records and classified patients using a modification of the 2002 Transverse Myelitis Consortium Group criteria. Long-term follow-up data were collected for patients not diagnosed with multiple sclerosis (MS) or neuromyelitis optica spectrum disorder as a result of the initial myelitis.

RESULTS: We identified 2,321 individuals, of whom 461 were patients with myelitis. The crude mean incidence of all-cause myelitis was 24.9 (95% CI 16.7-33.9) cases per million person-years, of which idiopathic myelitis had an incidence of 8.0 (95% CI 3.8-12.1) cases per million person-years. Partial myelitis was found in 80% of patients. Poor functional outcome was found in 11% of the cohort and correlated, in a multivariate logistic model, with age older than 50 years (OR 4.26, 95% CI 1.75-10.40), transverse spinal cord lesions (odds ratio [OR] 6.85, 95% CI 2.68-17.52), elevated CSF count of polymorphonuclear cells (OR 6.09, 95% CI 1.56-23.72), and elevated CSF/serum albumin ratio (OR 3.17, 95% CI 1.23-8.17). The median follow-up time was 5.4 years. Relapses occurred in 27% of patients with idiopathic myelitis and 72% of patients with unspecified demyelinating disease of the CNS. An increased relapse rate after idiopathic myelitis was found to be associated, in a multivariate model, with the presence of oligoclonal bands (incidence rate ratio [IRR] 4.47, 95% CI 1.70-11.73), transverse spinal cord lesions (IRR 2.81, 95% CI 1.11-7.12), and multifocal spinal cord lesions (IRR 2.82, 95% CI 1.03-7.69). Around half (48%) of all patients with myelitis received MS diagnosis during the study period.

DISCUSSION: This large population-wide study describes a relatively high incidence of myelitis and low risk of relapses after idiopathic myelitis. A complete diagnostic workup of myelitis, including MRI of the entire CNS and collection of CSF, is essential in evaluating underlying causes and prognosis.

PMID:40924956 | DOI:10.1212/NXI.0000000000200472