bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trends in microbiological epidemiology of orthopedic infections: a large retrospective study from 2008 to 2021
Authors: Wang Boyong , Wang Qiaojie , Hamushan Musha , Yu Jinlong , Jiang Feng , Li Mingzhang , Guo Geyong , Tang Jin , Han Pei , Shen Hao 
Published: August 2023

Abstract
Background
This study assessed the distribution characteristics of pathogens isolated from cases of orthopedic infections and focused on the antimicrobial susceptibility of the main pathogens.

Methods
This retrospective study involved patients with orthopedic infection in a tertiary medical center located in Shanghai, China, from 2008 to 2021.Pathogen information and the basic information of patients were identified from clinical microbiology laboratory data and the institutional medical record system.

Results
In total, the pathogen information of 2821 patients were enrolled in the study. S. aureus (37.71%) was the main causative pathogen responsible for orthopedic infection. Gender, pathogens distribution and polymicrobial infection rates were significantly different (P < 0.05) among patients with different orthopedic infection diseases.The trends in the distribution of pathogens in the total cohort, implant-related infection group (Group A), non-implant-related infection group (Group B), and the sub-group of cases with arthroplasty showed significant linear changes over time. And the polymicrobial infection rates of the total cohort (from 17.17% to 11.00%), Group B(from 24.35% to 14.47%), and the sub-group of cases with internal fixation (from 10.58% to 4.87%) decreased significantly. The antimicrobial susceptibility showed changing trends with time for some main pathogens, especially for S.aureus and Enterobacter spp.

Conclusions
Our research indicated that the pathogen distribution and antimicrobial susceptibility in orthopedic infections changed over time. And the distribution of pathogens varied significantly among different types of orthopedic infectious diseases. These findings may serve as a reference for prophylaxis and empirical treatment strategies of orthopedic infection.
The economic burden experienced by carers of children who had a critical deterioration at a tertiary children’s hospital in the United Kingdom (the DETECT study): an online survey
Authors: Costa Eduardo , Mateus Céu , Carter Bernie , Siner Sarah , Jones Dawn , Evans Leah , Preston Jenny , Mehta Fulya , Lambert Caroline , Hollingsworth Bruce , Carrol Enitan D. , Sefton Gerri 
Published: August 2023

Abstract
Background
Unplanned critical care admissions following in-hospital deterioration in children are expected to impose a significant burden for carers across a number of dimensions. One dimension relates to the financial and economic impact associated with the admission, from both direct out-of-pocket expenditures, as well as indirect costs, reflecting productivity losses. A robust assessment of these costs is key to understand the wider impact of interventions aiming to reduce in-patient deterioration. This work aims to determine the economic burden imposed on carers caring for hospitalised children that experience critical deterioration events.

Methods
Descriptive study with quantitative approach. Carers responded to an online survey between July 2020 and April 2021. The survey was developed by the research team and piloted before use. The sample comprised 71 carers of children admitted to a critical care unit following in-patient deterioration, at a tertiary children’s hospital in the UK. The survey provides a characterisation of the carer’s household and estimates of direct non-medical costs grouped in five different expenditure categories. Productivity losses can also be estimated based on the reported information.

Results
Most carers reported expenditures associated to the child’s admission in the week preceding the survey completion. Two-thirds of working carers had missed at least one workday in the week prior to the survey completion. Moreover, eight in ten carers reported having had to travel from home to the hospital at least once a week. These expenditures, on average, amount to £164 per week, grouped in five categories (38% each to travelling costs and to food and drink costs, with accommodation, childcare, and parking representing 12%, 7% and 5%, respectively). Additionally, weekly productivity losses for working carers are estimated at £195.

Conclusion
Unplanned critical care admissions for children impose a substantial financial burden for carers. Moreover, productivity losses imply a subsequent cost to society. Even though subsidised hospital parking and on-site accommodation at the hospital contribute to minimising such expenditure, the overall impact for carers remains high. Interventions aiming at reducing emergency critical care admissions, or their length, can be crucial to further contribute to the reduction of this burden.

Trial Registration
Current Controlled Trials ISRCTN61279068, date of registration 07/06/2019, retrospectively registered.
Sleep deprivation and suicide risk among minoritized US adolescents
Authors: Joseph Victoria A. , Kreski Noah T. , Keyes Katherine M. 
Published: August 2023

Abstract
Objectives
To assess (1) the prevalence of suicide ideation/behavior among adolescents with short sleep by race/ethnicity and (2) the association between sleep duration and suicidal ideation and behavior among American youth by race/ethnicity from 2007 to 2019.

Methods
Data were drawn from the Youth Risk Behavior Surveillance System (YRBSS). Logistic regression analyses were used to assess the relationship between sleep duration and suicidal ideation/behavior.

Results
Overall, suicide ideation/behavior increased among U.S. adolescents of all racial groups from 2007 to 2019. Adjusting for race/ethnicity, sexual identity, age, sex, substance use, trauma, and bullying, those with short sleep had approximately twice the odds [OR: 1.92 (95% CI: 1.65, 2.23)] of suicide ideation/consideration compared to those with long sleep. Stratified analyses indicated that Black students with short sleep had higher odds of making a suicide plan (OR = 1.51, 95% C.I.: 1.27, 1.79) compared with Black students with long sleep. A similar pattern was observed across other racial/ethnic groups (e.g., Hispanic: (OR = 1.74, 95% C.I.: 1.53, 1.97).

Conclusion
Emphasis on suicide interventions is of the essence, especially with increasing rates. Sleep duration significantly predicts suicide risk among all adolescents. Additional research is needed to assess factors that predict suicide among minoritized adolescents, specifically Black and Hispanic adolescents.
Impact of ignoring sampling design in the prediction of binary health outcomes through logistic regression: evidence from Malawi demographic and health survey under-five mortality data; 2000-2016
Authors: Kaombe Tsirizani M. , Hamuza Gracious A. 
Published: August 2023

AbstractThe birth and death rates of a population are among the crucial vital statistics for socio-economic policy planning in any country. Since the under-five mortality rate is one of the indicators for monitoring the health of a population, it requires regular and accurate estimation. The national demographic and health survey data, that are readily available to the puplic, have become a means for answering most health-related questions among African populations, using relevant statistical methods. However, many of such applications tend to ignoresurvey design effectin the estimations, despite the availability of statistical tools that support the analyses. Little is known about the amount of inaccurate information that is generated when predicting under-five mortality rates. This study estimates and compares the bias encountered when applying unweighted and weighted logistic regression methods to predict under-five mortality rate in Malawi using nationwide survey data. The Malawi demographic and health survey data of 2004, 2010, and 2015-16 were used to determine the bias. The analyses were carried out in and . A logistic regression model that included various bio- and socio-demographic factors concerning the child, mother and households was used to estimate the under-five mortality rate. The results showed that accuracy of predicting the national under-five mortality rate hinges on cluster-weighting of the overall predicted probability of child-deaths, regardless of whether the model was weighted or not. Weighting the model caused small positive and negative changes in various fixed-effect estimates, which diffused the result of weighting in the fitted probabilities of deaths. In turn, there was no difference between the overall predicted mortality rate obtained using the weighted model and that obtained in the unweighted model. We recommend considering survey cluster-weights during the computation of overall predicted probability of events for a binary health outcome. This can be done without worrying about the weights during model fitting, whose aim is prediction of the population parameter.
Breast cancer screening and its associating factors among hungarian women aged 45–65: a cross-sectional study based on the European health interview surveys from 2009 to 2019
Authors: Pataki Jenifer , Dombrádi Viktor , Sárváry Attila , Szőllősi Gergő József 
Published: August 2023

AbstractBackgroundIn 2020, globally 685,000 people died, and 2.3 million women were diagnosed with breast cancer. The main cause of cancer deaths among women is breast cancer, which account for 15.5% of all cancer deaths. Most of these could have been avoided with timely diagnosis.The aim of our study was to determine the proportion of breast screening participation in Hungary, and to identify possible factors that may influence breast screening attendance.MethodsOur data were gathered from the cross-sectional European Health Interview Surveys conducted in Hungary in 2009, 2014, and 2019. In terms of categorical characteristics, Pearson’s chi-square test was performed to evaluate the differences between people who have attended breast screening within two years and who have only attended more than two years ago. To determine the factors that may have an impact on the uptake of screening, generalized linear model with logit link function regarding binomial probability distribution was executed.ResultsThe responses of 2626 women between the age 45-65 were included in our study. In 2009 85% (n=741), in 2014 90% (n=851) and in 2019 87% (n=699) of the respondents claimed to have ever attended a breast screening in their life. In 2009 68% (n=594), in 2014 66% (n=630) and in 2019 64% (n=515) said that they have taken part in breast screening within two years (p=0.331). From 2014 to 2019 (AOR=0.72 [0.57-0.89]) the chance of attending breast screening was decreasing. We observed that both secondary (AOR=1.97 [1.60-2.44]) and tertiary educational level (AOR=2.23 [1.67-3.00]), higher perceived income (AOR=1.54 [1.25-1.90]), and more frequent meeting with the doctor (AOR=1.77 [1.39-2.27]) and with the specialist (AOR=1.88 [1.54-2.28]) appeared as protective factors of breast screening attendance.ConclusionsOur results show that the lifetime prevalence of breast screening participation is high, however the recommended biennial rate is relatively low. To increase the participation rate, various initiatives would be needed, especially for women in identified risk groups, which are lower educational level, lower perceived income, and less frequent meeting with the doctor and with the specialist.
Development and acceptability of behavioral interventions promoting mothers’ brushing of pre-school children’s teeth: The preparation phase of the multi-phase optimization strategy framework
Authors: Ihab Merna , Abdelaziz Wafaa Essam El-Din , Hassan Walid , El Tantawi Maha 
Published: August 2023

Abstract
Background
Early childhood caries can be prevented through regular parental-supported toothbrushing, indicating the importance of behavior modification interventions targeting parents. Mobile oral health (m-oral health) interventions are gaining increased popularity although their production is not always based on solid theoretical frameworks and evidence about the efficacy of individual intervention components is not available. The Multiphase Optimization Strategy (MOST) offers a framework to develop complex m-oral health interventions and assessing the efficacy of individual components.

Aim
This study describes the development and assesses the acceptability of 3 intervention components using MOST to promote mothers’ brushing of their preschool children’s teeth.

Methods
The Theory of Planned Behavior guided the development of 3 components: motivational interviewing (MI), storytelling videos (STVs), and oral health promotion messages (OHPMs). A researcher received training to conduct MI. Twenty-four OHPMs were developed, and 14 STVs scripts were developed based on the “And, But, Therefore” framework. A feasibility pilot study was conducted to determine the optimization objective and assess mothers’ preferences regarding the frequency and timing of receiving the intervention components. The mothers participated in a semi-structured interview to assess the acceptability of the components using 7 open-ended questions based on the framework of acceptability and thematic analysis was used to analyze the qualitative data. The mothers also responded to questions assessing the perceived and experienced acceptability of the components using close-ended questions. Descriptive statistics were presented as means and standard deviations for continuous variables and median and interquartile range for categorical variables.

Results
Sixteen mothers were included. The mothers expressed positive affective attitude towards the interventions. They felt the components served as “good reminders” to brush their children’s teeth. However, “time” was a burden for the mothers. 80% of the mothers preferred receiving the OHPMs and STVs once per week, from 8 pm to 2 am (50%), and 60% indicated they can set 15–30 min to receiving the interventions.

Conclusion
The 3 components were acceptable to the mothers. The OHPMs and STVs will be sent to the mothers once per week, between 8 pm to 2 am. The MI and follow-up phone calls will be limited to 15 min.
Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study
Authors: Lu Yufei , Ning Yichun , Li Yang , Zhu Bowen , Zhang Jian , Yang Yan , Chen Weize , Yan Zhixin , Chen Annan , Shen Bo , Fang Yi , Wang Dong , Song Nana , Ding Xiaoqiang 
Published: August 2023

Abstract
Background
Chronic kidney disease (CKD) is a global public health concern. Therefore, to provide timely intervention for non-hospitalized high-risk patients and rationally allocate limited clinical resources is important to mine the key factors when designing a CKD prediction model.

Methods
This study included data from 1,358 patients with CKD pathologically confirmed during the period from December 2017 to September 2020 at Zhongshan Hospital. A CKD prediction interpretation framework based on machine learning was proposed. From among 100 variables, 17 were selected for the model construction through a recursive feature elimination with logistic regression feature screening. Several machine learning classifiers, including extreme gradient boosting, gaussian-based naive bayes, a neural network, ridge regression, and linear model logistic regression (LR), were trained, and an ensemble model was developed to predict 24-hour urine protein. The detailed relationship between the risk of CKD progression and these predictors was determined using a global interpretation. A patient-specific analysis was conducted using a local interpretation.

Results
The results showed that LR achieved the best performance, with an area under the curve (AUC) of 0.850 in a single machine learning model. The ensemble model constructed using the voting integration method further improved the AUC to 0.856. The major predictors of moderate-to-severe severity included lower levels of 25-OH-vitamin, albumin, transferrin in males, and higher levels of cystatin C.

Conclusions
Compared with the clinical single kidney function evaluation indicators (eGFR, Scr), the machine learning model proposed in this study improved the prediction accuracy of CKD progression by 17.6% and 24.6%, respectively, and the AUC was improved by 0.250 and 0.236, respectively. Our framework can achieve a good predictive interpretation and provide effective clinical decision support.
Psychometric evaluation of the Chinese version of the Positive Health Behaviours Scale for clinical nurses: a cross-sectional translation
Authors: Kong Linghui , Lu Tingting , Zheng Chen , Zhang Huijun 
Published: August 2023

Abstract
Background
Occupational health is essential for nurses in clinical nursing practice. However, there is no specific tool for measuring the health behaviour of clinical nurses in China. This study aimed to translate the Positive Health Behaviours Scale into Chinese and validate its psychometric properties among clinical nurses.

Design
A cross-sectional design with repeated measures.

Methods
A total of 633 clinical nurses were recruited by convenience sampling from hospitals in Liaoning Province, China. After obtaining the authorization of the original author, the PHBS was translated into Chinese by the Brislin back-translation method. Item analysis was completed to evaluate item discrimination, and the Delphi method was adopted to analyse content validity. Exploratory factor analysis and confirmatory factor analysis were conducted to explore and validate the underlying factor structure. Internal consistency and test-retest reliability were calculated to evaluate reliability.

Results
A total of 29 items were retained in the item analysis, and the content validity index of the translated scale was 0.956. In the EFA, four common factors were extracted (nutrition, physical activity, relaxation and behaviours related to mental health and preventive behaviours), explaining 60.81% of the total variance. The results of the CFA were as follows: χ2/df = 1.363, GFI = 0.902, NFI = 0.909, IFI = 0.974, TLI = 0.971, CFI = 0.974, RMSEA = 0.034, and RMR = 0.023. The results of the EFA and CFA showed that the translated scale had good structural validity. Cronbach’s α coefficient, the split-half reliability and the test-retest reliability of the Chinese version of the PHBS were 0.928, 0.953 and 0.891, respectively. At the same time, the translated scale had good reliability.

Conclusions
The Chinese version of the PHBS for clinical nurses had good psychometric properties. The results of the questionnaire survey effectively and comprehensively reflect the level of health behaviours in clinical nurses, which provides a scientific reference for determining the intervention target.
Sex-specific associations between adipokine profiles and carotid-intima media thickness in the Cameron County Hispanic Cohort (CCHC)
Authors: Kim Daeeun , Memili Aylin , Chen Hung-Hsin , Highland Heather M. , Polikowsky Hannah G. , Anwar Mohammad Yaser , Laing Susan T. , Lee Miryoung , McCormick Joseph B. , Fisher-Hoch Susan P. , Below Jennifer E. , North Kari E. , Gutierrez Absalon D. 
Published: August 2023

Abstract
Background
Adipokines are hormones secreted from adipose tissue and are associated with cardiometabolic diseases (CMD). Functional differences between adipokines (leptin, adiponectin, and resistin) are known, but inconsistently reported associations with CMD and lack of studies in Hispanic populations are research gaps. We investigated the relationship between subclinical atherosclerosis and multiple adipokine measures.

Methods
Cross-sectional data from the Cameron County Hispanic Cohort (N = 624; mean age = 50; Female = 70.8%) were utilized to assess associations between adipokines [continuous measures of adiponectin, leptin, resistin, leptin-to-adiponectin ratio (LAR), and adiponectin-resistin index (ARI)] and early atherosclerosis [carotid-intima media thickness (cIMT)]. We adjusted for sex, age, body mass index (BMI), smoking status, cytokines, fasting blood glucose levels, blood pressure, lipid levels, and medication usage in the fully adjusted linear regression model. We conducted sexes-combined and sex-stratified analyses to account for sex-specificity and additionally tested whether stratification of participants by their metabolic status (metabolically elevated risk for CMD as defined by having two or more of the following conditions: hypertension, dyslipidemia, insulin resistance, and inflammation vs. not) influenced the relationship between adipokines and cIMT.

Results
In the fully adjusted analyses, adiponectin, leptin, and LAR displayed significant interaction by sex (p < 0.1). Male-specific associations were between cIMT and LAR [β(SE) = 0.060 (0.016), p = 2.52 × 10–4], and female-specific associations were between cIMT and adiponectin [β(SE) = 0.010 (0.005), p = 0.043] and ARI [β(SE) = − 0.011 (0.005), p = 0.036]. When stratified by metabolic health status, the male-specific positive association between LAR and cIMT was more evident among the metabolically healthy group [β(SE) = 0.127 (0.015), p = 4.70 × 10–10] (p for interaction by metabolic health < 0.1). However, the female-specific associations between adiponectin and cIMT and ARI and cIMT were observed only among the metabolically elevated risk group [β(SE) = 0.014 (0.005), p = 0.012 for adiponectin; β(SE) = − 0.015 (0.006), p = 0.013 for ARI; p for interaction by metabolic health < 0.1].

Conclusion
Associations between adipokines and cIMT were sex-specific, and metabolic health status influenced the relationships between adipokines and cIMT. These heterogeneities by sex and metabolic health affirm the complex relationships between adipokines and atherosclerosis.