bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of dietary calcium intake at dinner versus breakfast with cardiovascular disease in U.S. adults: the national health and nutrition examination survey, 2003–2018
Authors: Zhang Ting , Zhuang Sijia , Yu Yue , Fan Zizhuo , Ren Xiyun 
Published: April 2024

Abstract
Background
Currently, it is still largely unknown whether the proportion of calcium intake at breakfast and dinner is associated with cardiovascular disease (CVD) in the general population.

Objectives
The aim of this study was to evaluate the association of dietary calcium intake at dinner versus breakfast with CVD in a nationally representative sample of US adults.

Methods
The study population consisted of 36,164 US adults (including 4,040 CVD cases) from the NHANES 2003 to 2018. According to the ratio of dietary calcium intake at dinner and breakfast (Δ = dinner/breakfast), 36,164 participants were divided into five groups. After adjustment for a series of confounder factors, logistic regression analyses were performed to examine the association between Δ and CVD. Dietary substitution models were used to explore the changes in CVD risk when a 5% dietary calcium intake at dinner was substituted with dietary calcium intake at breakfast.

Results
Compared with participants in the lowest quintile, participants in the highest quintile were more likely to have CVD, with an adjusted OR of CVD of 1.16 (95% CI, 1.03 to 1.31). When the total calcium intake remained constant, replacing a 5% dietary calcium intake at dinner with dietary calcium intake at breakfast was associated with a 6% lower risk of CVD.

Conclusions
Compared to the lowest quintile of Δ, participants in the highest quintile of Δ were likely to experience CVD in the general population. It is necessary to scientifically allocate dietary calcium intake at breakfast and dinner.
Asthma medication adherence, control, and psychological symptoms: a cross-sectional study
Authors: Alqarni Abdullah A. , Aldhahir Abdulelah M. , Siraj Rayan A. , Alqahtani Jaber S. , Alghamdi Dana A. , Alghamdi Sarah K. , Alamoudi Abeer A. , Mohtaseb Majduleen A. , Majrshi Mansour , AlGarni Abdulkareem A. , Badr Omaima I. , Alwafi Hassan 
Published: April 2024

Abstract
Background
Nonadherence to therapies and psychological disorders are associated with poor asthma control. This study aims to assess the prevalence of anxiety and depressive symptoms, asthma control, and adherence to inhalers and to investigate whether there is an association of anxiety and depressive symptoms with adherence to inhalers and asthma control.

Methods
We measured anxiety and depressive symptoms using the Hospital Anxiety and Depression Scale in patients with asthma. Asthma Control Test and the 10-Item Test of Adherence to Inhalers Scale were used to assess levels of asthma control adherence to inhalers, respectively. Univariate and multivariate regression models assessed the associations of anxiety and depressive symptoms with adherence to inhalers and asthma control.

Results
A total of 287 patients completed the study, of whom 72% were female. The mean ± SD age and body mass index of our study population were 44 ± 13 years and 29 ± 7.2 kg/m2, respectively. Poor adherence to inhaler use was highly prevalent (49.8%; 95% CI: 43.8 to 55.7). The prevalence of anxiety, depression and poor asthma control was 27.2% (95% CI: 22.1 to 32.7), 20.9% (95% CI: 16.3 to 26.1), and 22.7% (95% CI: 17.9 to 27.9), respectively. We found a negative relationship between asthma control and anxiety, and depressive symptoms (adjusted β: -0.25; 95% CI: -0.36 to -0.14; p < 0.001 and adjusted β: -0.29; 95% CI: -0.40 to -0.18; p < 0.001, respectively). A negative relationship was also observed between adherence to inhalers and anxiety and depressive symptoms (adjusted β: -0.34; 95% CI: -0.46 to -0.22; p < 0.001 and adjusted β: -0.36; 95% CI: − 0.48 to − 0.24; p < 0.001, respectively).

Conclusions
The high prevalence of uncontrolled asthma symptoms and poor adherence to inhalers and their impact on anxiety and depression levels among patients with asthma point to the need for early screening for psychological symptoms and recognition of nonadherence as part of asthma assessment and management plan in primary care in Saudi Arabia to avoid further worsening of asthma symptoms. Further studies are needed to explore the effectiveness of specific psychoeducational interventions and investigate the long-term impact of early psychological symptom detection on asthma outcomes.
Global burden of osteoarthritis in adults aged 30 to 44 years, 1990 to 2019: results from the Global Burden of Disease Study 2019
Authors: He Yixiang , Jiang Wenkai , Wang Wenji 
Published: April 2024

Abstract
Background
Osteoarthritis (OA) is a common orthopedic disorder, and its incidence has been increasing among young adults in recent years. The purpose of this study is to investigate the global, regional, and national trends in OA burden and variation among individuals aged 30 to 44 from 1990 to 2019.

Methods
Data on the incidence, prevalence, and years lived with disability (YLDs) related to OA were sourced from the Global Burden of Disease Study 2019 among individuals aged 30 to 44. These measures were stratified by gender, region, country, and socio-demographic index (SDI). Additionally, we analyzed YLDs attributable to risk factors.

Results
In 2019, there were a total of 32,971,701 cases of OA among individuals aged 30 to 44 years worldwide, with an additional 7,794,008 new incident cases reported. OA of the knee was the primary contributor to both incidence and prevalence rates over the past three decades. From 1990 to 2019, both males and females in countries with high SDI and high-middle SDI showed upward trends in age-standardized incidence, prevalence, and YLDs rates. In 2019, the United States of America had the highest age-standardized incidence, prevalence, and YLDs rates. Elevated body-mass index (BMI) was found to be the most prevalent risk factor for osteoarthritis-related YLDs. Age-standardized YLDs rates were positively associated with SDI.

Conclusions
OA remains a significant disease burden on individuals aged 30 to 44, with modifiable risk factors such as unhealthy lifestyle and obesity representing key targets for future interventions aimed at reducing the impact of this condition on younger generations.
Exploring the use of ChatGPT to analyze student course evaluation comments
Authors: A. Fuller Kathryn , Morbitzer Kathryn A. , Zeeman Jacqueline M. , M. Persky Adam , C. Savage Amanda , McLaughlin Jacqueline E. 
Published: April 2024

Abstract
Background
Since the release of ChatGPT, numerous positive applications for this artificial intelligence (AI) tool in higher education have emerged. Faculty can reduce workload by implementing the use of AI. While course evaluations are a common tool used across higher education, the process of identifying useful information from multiple open-ended comments is often time consuming. The purpose of this study was to explore the use of ChatGPT in analyzing course evaluation comments, including the time required to generate themes and the level of agreement between instructor-identified and AI-identified themes.

Methods
Course instructors independently analyzed open-ended student course evaluation comments. Five prompts were provided to guide the coding process. Instructors were asked to note the time required to complete the analysis, the general process they used, and how they felt during their analysis. Student comments were also analyzed through two independent Open-AI ChatGPT user accounts. Thematic analysis was used to analyze the themes generated by instructors and ChatGPT. Percent agreement between the instructor and ChatGPT themes were calculated for each prompt, along with an overall agreement statistic between the instructor and two ChatGPT themes.

Results
There was high agreement between the instructor and ChatGPT results. The highest agreement was for course-related topics (range 0.71-0.82) and lowest agreement was for weaknesses of the course (range 0.53-0.81). For all prompts except themes related to student experience, the two ChatGPT accounts demonstrated higher agreement with one another than with the instructors. On average, instructors took 27.50 ± 15.00 min to analyze their data (range 20–50). The ChatGPT users took 10.50 ± 1.00 min (range 10–12) and 12.50 ± 2.89 min (range 10–15) to analyze the data. In relation to reviewing and analyzing their own open-ended course evaluations, instructors reported feeling anxiety prior to the process, satisfaction during the process, and frustration related to findings.

Conclusions
This study offers valuable insights into the potential of ChatGPT as a tool for analyzing open-ended student course evaluation comments in health professions education. However, it is crucial to ensure ChatGPT is used as a tool to assist with the analysis and to avoid relying solely on its outputs for conclusions.
Autonomous fetal morphology scan: deep learning + clustering merger – the second pair of eyes behind the doctor
Authors: Belciug Smaranda 
Published: April 2024

AbstractThe main cause of fetal death, of infant morbidity or mortality during childhood years is attributed to congenital anomalies. They can be detected through a fetal morphology scan. An experienced sonographer (with more than 2000 performed scans) has the detection rate of congenital anomalies around 52%. The rates go down in the case of a junior sonographer, that has the detection rate of 32.5%. One viable solution to improve these performances is to use Artificial Intelligence. The first step in a fetal morphology scan is represented by the differentiation process between the view planes of the fetus, followed by a segmentation of the internal organs in each view plane. This study presents an Artificial Intelligence empowered decision support system that can label anatomical organs using a merger between deep learning and clustering techniques, followed by an organ segmentation with YOLO8. Our framework was tested on a fetal morphology image dataset that regards the fetal abdomen. The experimental results show that the system can correctly label the view plane and the corresponding organs on real-time ultrasound movies.Trial registrationThe study is registered under the name “Pattern recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical Learning (PARADISE)”, project number 101PCE/2022, project code PN-III-P4-PCE-2021–0057. Trial registration: ClinicalTrials.gov, unique identifying number NCT05738954, date of registration 02.11.2023.
Patient perceived quality of cirrhosis care– adjunctive nurse-based care versus standard medical care: a pragmatic multicentre randomised controlled study
Authors: Hjorth Maria , Svanberg Anncarin , LoMartire Riccardo , Kaminsky Elenor , Rorsman Fredrik 
Published: April 2024

Abstract
Background
Cirrhosis treatment implies prevention and alleviation of serious disease events. Healthcare providers may, however, fail to meet patients’ expectations of collaboration and specific needs of information and support. Individualised nursing care could meet patients’ needs. The aim was thus to measure patient-perceived quality of care after adjunctive registered nurse-based intervention Quality Liver Nursing Care Model (QLiNCaM) compared with standard medical care.

Methods
This pragmatic multicentre study consecutively randomised patients to either adjunctive registered nurse-based care, or standard medical care for 24 months (ClinicalTrials.gov NCT02957253). Patients were allocated to either group at an equal ratio, at six Swedish outpatient clinics during 2016–2022. Using the questionnaire ‘Quality of care from the patient’s perspective’, patients rated their perceived lack of quality for the adjunctive registered nurse-based intervention compared with the control group at 12 and 24 months, respectively.

Results
In total, 167 patients were recruited. Seven out of 22 items in the questionnaire supported the finding that ‘lacking quality’ decreased with adjunctive registered nurse-based care (p < 0.05) at 12 months follow-up; however, these differences could not be established at 24 months.

Conclusion
Additional structured registered nurse-based visits in the cirrhosis outpatient team provided support for improved patient-perceived quality of care during the first 12 months. Registered nurses increase patient involvement and present easy access to cirrhosis outpatient care. Patients express appreciation for personalised information. This study reinforces registered nurses’ role in the outpatient cirrhosis team, optimising patient care in compensated and decompensated cirrhosis.

Trial registration
Registered at Clinical Trials 18th of October 2016, [https://www.clinicaltrials.gov], registration number: NCT02957253.
Revealing Prdx4 as a potential diagnostic and therapeutic target for acute pancreatitis based on machine learning analysis
Authors: Lu Zhonghua , Tang Yan , Qin Ruxue , Han Ziyu , Chen Hu , Cao Lijun , Zhang Pinjie , Yang Xiang , Yu Weili , Cheng Na , Sun Yun 
Published: April 2024

AbstractAcute pancreatitis (AP) is a common systemic inflammatory disease resulting from the activation of trypsinogen by various incentives in ICU. The annual incidence rate is approximately 30 out of 100,000. Some patients may progress to severe acute pancreatitis, with a mortality rate of up to 40%. Therefore, the goal of this article is to explore the key genes for effective diagnosis and treatment of AP. The analysis data for this study were merged from two GEO datasets. 1357 DEGs were used for functional enrichment and cMAP analysis, aiming to reveal the pathogenic genes and potential mechanisms of AP, as well as potential drugs for treating AP. Importantly, the study used LASSO and SVM-RFE machine learning to screen the most likely AP occurrence biomarker for Prdx4 among numerous candidate genes. A receiver operating characteristic of Prdx4 was used to estimate the incidence of AP. The ssGSEA algorithm was employed to investigate immune cell infiltration in AP. The biomarker Prdx4 gene exhibited significant associations with a majority of immune cells and was identified as being expressed in NKT cells, macrophages, granulocytes, and B cells based on single-cell transcriptome data. Finally, we found an increase in Prdx4 expression in the pancreatic tissue of AP mice through immunohistochemistry. After treatment with recombinant Prdx4, the pathological damage to the pancreatic tissue of AP mice was relieved. In conclusion, our study identified Prdx4 as a potential AP hub gene, providing a new target for treatment.
Effect of spatiotemporal variables on abundance, biting activity and parity of Nyssorhynchus darlingi (Diptera: Culicidae) in peri-Iquitos, Peru
Authors: Bickersmith Sara A. , Saavedra Marlon P. , Prussing Catharine , Lange Rachel E. , Morales Juliana A. , Alava Freddy , Vinetz Joseph M. , Gamboa Dionicia , Moreno Marta , Conn Jan E. 
Published: April 2024

Abstract
Background
In malaria endemic regions of the Peruvian Amazon, rainfall together with river level and breeding site availability drive fluctuating vector mosquito abundance and human malaria cases, leading to temporal heterogeneity. The main variables influencing spatial transmission include location of communities, mosquito behaviour, land use/land cover, and human ecology/behaviour. The main objective was to evaluate seasonal and microgeographic biting behaviour of the malaria vector Nyssorhynchus (or Anopheles) darlingi in Amazonian Peru and to investigate effects of seasonality on malaria transmission.

Methods
We captured mosquitoes from 18:00 to 06:00 h using Human Landing Catch in two riverine (Lupuna, Santa Emilia) and two highway (El Triunfo, Nuevo Horizonte) communities indoors and outdoors from 8 houses per community, during the dry and rainy seasons from February 2016 to January 2017. We then estimated parity rate, daily survival and age of a portion of each collection of Ny. darlingi. All collected specimens of Ny. darlingi were tested for the presence of Plasmodium vivax or Plasmodium falciparum sporozoites using real-time PCR targeting the small subunit of the 18S rRNA.

Results
Abundance of Ny. darlingi varied across village, season, and biting behaviour (indoor vs outdoor), and was highly significant between rainy and dry seasons (p < 0.0001). Biting patterns differed, although not significantly, and persisted regardless of season, with peaks in highway communities at ~ 20:00 h in contrast to biting throughout the night (i.e., 18:00–06:00) in riverine communities. Of 3721 Ny. darlingi tested for Plasmodium, 23 (0.62%) were infected. We detected Plasmodium-infected Ny. darlingi in both community types and most (20/23) were captured outdoors during the rainy season; 17/23 before midnight. Seventeen Ny. darlingi were infected with P. vivax, and 6 with P. falciparum. No infected Ny. darlingi were captured during the dry season. Significantly higher rates of parity were detected in Ny. darlingi during the rainy season (average 64.69%) versus the dry season (average 36.91%) and by community, Lupuna, a riverine village, had the highest proportion of parous to nulliparous females during the rainy season.

Conclusions
These data add a seasonal dimension to malaria transmission in peri-Iquitos, providing more evidence that, at least locally, the greatest risk of malaria transmission is outdoors during the rainy season mainly before midnight, irrespective of whether the community was located adjacent to the highway or along the river.
Assessing health-related quality of life of Chinese population using CQ-11D
Authors: Pan Jie , Han Qianxi , Zhou Pingda , Zhou Jiameng , Zhang Mengpei , Zhu Wentao 
Published: April 2024

Abstract
Purpose
This study aimed to assess the health-related quality of life (HRQoL) of the Chinese population by using the Chinese medicine quality of life-11 dimensions (CQ-11D) questionnaire and to identify factors associated with HRQoL.

Methods
The data was derived from a survey conducted by the Institute of Pharmacoeconomics Evaluation at Beijing University of Chinese Medicine on the quality of life of the Chinese population. The sex and age of respondents were considered through quota sampling. Demographic, socioeconomic, and health indicators were collected using the structured questionnaire. We performed bivariate analyses first to examine the associations between the above factors and the HRQoL of respondents measured by the CQ-11D. Multivariate linear regression and ordinal logistic regression models were established to analyze the factors (demographic, socioeconomic, and health indicators) differences in HRQoL, as well as the risk of each group reporting problems across the 11 dimensions of CQ-11D.

Results
From February 2021 to November 2022, a total of 7,604 respondents were involved and 7,498 respondents were included. The sample approximated the general adult Chinese population in terms of age, sex, and district of residence, and each geographic distribution ranged from 9.71 to 25.54%. Of the respondents, 45.84% were male, and 89.82% were Han ethnicity. The mean utility score ranged from 0.796 to 0.921 as age increased. According to the respondents, most health problems were identified in the PL (fatigue) (70.16%) and SM (quality of sleep) (63.63%) dimensions. The CQ-11D index scores varied with the demographic and socioeconomic characteristics of respondents, except for ethnicity (p > 0.05) and income (p > 0.05). The multivariate analysis revealed significant negative associations between health utility scores and various factors. These factors include sex (female), age over 65, belonging to ethnic minorities, rural household registration, being widowed or divorced, having a primary school education or below, being a student or unemployed, having a low income of 0–1,300, engaging in smoking or drinking, limited participation in physical activities, experiencing changes in self-perceived health status compared to the previous year, and having chronic diseases. The odds of respondents reporting problems in 11 dimensions varied among different socio-demographic groups.

Conclusions
This study reports the first Chinese population norms for the CQ-11D derived using a representative sample of the Chinese general population. Self-reported health status measured by the CQ-11D varies among different socio-economic groups. In addition to participation a physical activity and the presence of chronic disease, smoking and drinking also significantly influence HRQoL.
Investigating the impact of couple counseling based on the CHARMS model on sexual quality of life and marital satisfaction of wives of men suffering from myocardial infarction: a study protocol
Authors: Rabeipoor Soheila , Khademvatani Kamal , Barjasteh Samira , Ghafuri Delniya 
Published: April 2024

Abstract
Introduction
Cardiovascular diseases are a common chronic illness in adults, with implications for health and psychological well-being. These implications not only affect the patients themselves but also impact family members, especially the spouses of patients. One significant issue and consequence of this disease is its impact on marital relationships and sexual satisfaction, which can also influence other dimensions of quality of life. The aim of the current study is to determine the effect of couple counseling based on the CHARMS model on sexual quality of life and marital satisfaction of wives of men suffering from myocardial infarction.

Method
This study is a clinical randomized controlled trial. Sampling will be done on a convenience basis. Participants will be randomly allocated into two groups: control (50 couples) and intervention (50 couples). Couples in 6 groups of 8 members each will attend counseling sessions based con the CHARMS model, with sessions held weekly and lasting for 60 min. Data collection tools will include Demographic information questionnaire, Women’s Sexual Quality of Life Questionnaire, Enrich Marital Satisfaction Questionnaire, Sexual Compatibility Questionnaire and Perceived Quality of Relationship Dimensions Questionnaire, which will be completed by women in both groups before and after the intervention. Data will be analyzed using appropriate statistical tests and SPSS software.

Discussion
This trial will evaluate whether a counseling intervention based on the CHARMS model can enhance sexual quality of life and marital satisfaction of wives of men with myocardial infarction in Urmia city.

Trial registration
IRCT code: IRCT20240218061046N1