bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of CYP2D6 and CYP2C19 metabolizer status with switching and discontinuing antidepressant drugs: an exploratory study
Authors: Brouwer Jurriaan M. J. L. , Wardenaar Klaas J. , Nolte Ilja M. , Liemburg Edith J. , Bet Pierre M. , Snieder Harold , Mulder Hans , Cath Danielle C. , Penninx Brenda W. J. H. 
Published: May 2024

Abstract
Background
Tailoring antidepressant drugs (AD) to patients’ genetic drug-metabolism profile is promising. However, literature regarding associations of ADs’ treatment effect and/or side effects with drug metabolizing genes CYP2D6 and CYP2C19 has yielded inconsistent results. Therefore, our aim was to longitudinally investigate associations between CYP2D6 (poor, intermediate, and normal) and
CYP2C19 (poor, intermediate, normal, and ultrarapid) metabolizer-status, and switching/discontinuing of ADs. Next, we investigated whether the number of perceived side effects differed between metabolizer statuses.

Methods
Data came from the multi-site naturalistic longitudinal cohort Netherlands Study of Depression and Anxiety (NESDA). We selected depression- and/or anxiety patients, who used AD at some point in the course of the 9 years follow-up period (n = 928). Medication use was followed to assess patterns of AD switching/discontinuation over time. CYP2D6 and CYP2C19 alleles were derived using genome-wide data of the NESDA samples and haplotype data from the PharmGKB database. Logistic regression analyses were conducted to investigate the association of metabolizer status with switching/discontinuing ADs. Mann–Whitney U-tests were conducted to compare the number of patient-perceived side effects between metabolizer statuses.

Results
No significant associations were observed of CYP metabolizer status with switching/discontinuing ADs, nor with the number of perceived side effects.

Conclusions
We found no evidence for associations between CYP metabolizer statuses and switching/discontinuing AD, nor with side effects of ADs, suggesting that metabolizer status only plays a limited role in switching/discontinuing ADs. Additional studies with larger numbers of PM and UM patients are needed to further determine the potential added value of pharmacogenetics to guide pharmacotherapy.
Prevalence and factors associated with dyslipidemia in patients with first hospitalization for major depressive disorder: a large sample cross-sectional study
Authors: Yin Huimin , Lu Baili , Zeng Kuan , Li Yi , Ma Jun 
Published: May 2024

Abstract
Background
Major depressive disorder (MDD) is a severe mental illness with high relapse rates and high mortality. Depression not only severely limits psychosocial functioning but also reduces quality of life. It can also negatively affect patients’ clinical parameters, including lipid metabolism markers. This study aimed to investigate the prevalence and risk factors of hyperlipidemia (HL) in patients with MDD who were hospitalized for the first time.

Methods
In this study, we enrolled 981 patients with MDD who were hospitalized for the first time, collected their demographic data and biochemical indicators, and evaluated their clinical symptoms. We divided the patients into HL and non-HL subgroups based on whether they had co-morbid HL. We compared whether there were significant differences between the two groups regarding demographics and general clinical information.

Results
A total of 708 of 981 MDD patients were described as being in the hyperlipidemic group, with an incidence of 72.17%. Clinical Global Impression Scale-Severity of Illness (CGI-SI) score and Hamilton Depression Scale (HAMD) score are risk factors for co-morbid HL in patients with MDD. The area under the ROC curve for the CGI-SI and HAMD score and their combined discriminatory ability was approximately 63%, 67%, and 68%, respectively.

Conclusion
The prevalence of HL was high in patients with MDD who were first hospitalized; Higher HAMD score and CGI-SI score were risk factors for the development of HL in MDD; The HAMD score and the CGI-SI score are predictive of the severity of HL.
The effect of social anxiety on teenagers’ internet addiction: the mediating role of loneliness and coping styles
Authors: Dong Wanglin , Tang Haishan , Wu Sijia , Lu Guangli , Shang Yanqing , Chen Chaoran 
Published: May 2024

Abstract
Background & Aim
There is a lack of understanding of how social anxiety may affect Internet addiction among adolescents. Based on several theories, the purpose of this study was to investigate the multiple mediating roles of loneliness and coping styles in the association between social anxiety and Internet addiction in Chinese adolescents.

Methods
This study used the Social Anxiety Scale, Internet Addiction Test, Loneliness Scale, and Simple Coping Style Questionnaire to investigate 1188 students in two junior high schools and senior high schools in Henan Province, China. We adopted Pearson’s correlation analysis and the PROCESS Macro Model 81 in regression analysis to explore the relationships among social anxiety, loneliness, coping styles, and Internet addiction.

Results
We found that social anxiety not only directly affects teenagers' Internet addiction, but also affects teenagers' Internet addiction through loneliness and coping styles.

Conclusions
These results emphasize the importance of improving social anxiety to reduce Internet addiction among adolescents. At the same time, it also emphasizes the need to reduce adolescents' loneliness and cultivating positive coping styles. In addition, this study has certain theoretical significance for teenagers' mental health and intervention studies on Internet addiction.
Enhancing colorectal cancer prevention: a national assessment of public awareness in Egypt
Authors: Yehia Sania Ali , Alboraie Mohamed , Ashour Reham , Hassan Dalia , Ezzat Reem , El-Raey Fathiya , Tag-Adeen Mohammed , Abdelaziz Mohamed , Asfour Sabry , Abdellatef Abeer , Abdeen Nermeen , Elsayed Rasha , Elkhadry Sally Waheed 
Published: May 2024

Abstract
Background
Despite the increasing incidence of colorectal cancer (CRC) in the Egyptian population, it still seems that there is a significant lack of awareness regarding the disease. This study aimed to assess the Egyptian population's awareness of CRC regarding its risk factors, the screening procedures, and the appropriate responses to its diagnosis.

Method
A cross-sectional study was conducted in Egypt between July 2022 and March 2023 and recruited a convenient sample of adults from seven governorates representing different geographic areas, and socioeconomic and educational backgrounds with the help of the validated Bowel Cancer Awareness Measure (CAM) version 2.1. The modified Arabic questionnaire was validated through a pilot study including 30 patients. Then it was presented through a Google form before being shared via online methods and face-to-face interviews. The questionnaire provided both numerical and categorical data, which were analyzed accordingly. The Chi-square, the Fisher exact, and the Man-Whitney test were used to compare colorectal cancer poor and good knowledge groups. Logistic regression analysis was conducted to predict the factors that affected the awareness level of the study population.

Results
Nine hundred forty individuals participated in the survey. Their ages ranged from 18 to 86 years old, with an average of 37.38 ± 12.22 years. The mean Knowledge score was 14.29 ± 7.05 out of 37 with most of our participants (71%) having poor knowledge about CRC. Most of the participants (64.1%) chose colonoscopy as the best screening modality, followed by an abdominal CT (27.8%), and fecal occult blood (15.5%). The study revealed significant differences between participants with good and poor knowledge of colorectal cancer. (78.5%) of participants with good CRC knowledge lived in cities, (85.4%) attained university or higher educational level, and (87.2%) of them were nonsmokers (p < 0.05%).

Conclusion
In general, there was a lack of awareness about Colorectal cancer among the Egyptian population especially among rural and lower educational levels, and more health education campaigns are required to enhance CRC prevention efforts in Egypt.
Trends in socio-demographic characteristics and substance use among high school learners in a selected district in Limpopo Province, South Africa
Authors: Shuro Linda , Waggie Firdouza 
Published: May 2024

Abstract
Background
Substance use is an escalating public health problem in South Africa resulting in risky behaviours and poor educational attainment among adolescents. There is a huge battle to overcome substance use among learners as more drugs become easily available with the mean age of drug experimentation reported to be at 12 years of age. It is important to continuously understand the trends in substance use in order to assess if there are positive changes and provide evidence for the development of context-specific effective interventions. This paper outlines the prevalence of substance use among selected high schools in a district in Limpopo province.

Methods
To determine the prevalence of substance use among selected high school learners in a district in Limpopo Province, a cross-sectional school survey of 768 learners was conducted. Data was analysed using SPSS v 26. Descriptive analysis was used to describe the independent and dependent variables and Chi-Square test was used to investigate associations between demographic characteristics and substance use among high school learners.

Results
The most abused substances by learners were alcohol (49%), cigarettes (20.8%) and marijuana (dagga/cannabis) (16.8%). In a lifetime, there was a significant difference (P < 0.05) in cigarette smoking with gender, school, and grade; with more use in males (14.2%) than females (7.6%); in urban schools (14.6) than peri-urban (6.7%) and more in Grade 12 (6.4%). There was a significant difference (P < 0.05) in alcohol use with more use in Grade 10 (12.6%) and varied use among male and female learners but cumulatively more alcohol use in females (27.7%). Drug use varied, with an overall high drug use in urban schools (20.7%).

Conclusions
Substance use is rife among high school learners in the district and health promotion initiatives need to be tailored within the context of socio-demographic characteristics of learners including the multiple levels of influence such as peer pressure, poverty, unemployment and child headed families. Additional research is required to investigate the factors leading to a notable gradual increase in use among female learners and into the environmental and family settings of learners in influencing substance use.
Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning
Authors: Wu Hang , Shi Wenqi , Wang May D. 
Published: May 2024

Abstract
Background
Modeling causality through graphs, referred to as causal graph learning, offers an appropriate description of the dynamics of causality. The majority of current machine learning models in clinical decision support systems only predict associations between variables, whereas causal graph learning models causality dynamics through graphs. However, building personalized causal graphs for each individual is challenging due to the limited amount of data available for each patient.

Method
In this study, we present a new algorithmic framework using meta-learning for learning personalized causal graphs in biomedicine. Our framework extracts common patterns from multiple patient graphs and applies this information to develop individualized graphs. In multi-task causal graph learning, the proposed optimized initial guess of shared commonality enables the rapid adoption of knowledge to new tasks for efficient causal graph learning.

Results
Experiments on one real-world biomedical causal graph learning benchmark data and four synthetic benchmarks show that our algorithm outperformed the baseline methods. Our algorithm can better understand the underlying patterns in the data, leading to more accurate predictions of the causal graph. Specifically, we reduce the structural hamming distance by 50-75%, indicating an improvement in graph prediction accuracy. Additionally, the false discovery rate is decreased by 20-30%, demonstrating that our algorithm made fewer incorrect predictions compared to the baseline algorithms.

Conclusion
To the best of our knowledge, this is the first study to demonstrate the effectiveness of meta-learning in personalized causal graph learning and cause inference modeling for biomedicine. In addition, the proposed algorithm can also be generalized to transnational research areas where integrated analysis is necessary for various distributions of datasets, including different clinical institutions.
Recommended data elements for health registries: a survey from a German funding initiative
Authors: Harkener Sonja , Jenetzky Ekkehart , Rupp Rüdiger , Dell Jennifer , Engel Christoph , von Bargen Maximilian Ferry , Finger Robert , Glienke Maximilian , Heinz Carsten , Jersch Patrick , Martin David , Schmutzler Rita , Schönthaler Martin , Suwelack Barbara , Wegner Jeannine , Stausberg Jürgen 
Published: May 2024

Abstract
Background
The selection of data elements is a decisive task within the development of a health registry. Having the right metadata is crucial for answering the particular research questions. Furthermore, the set of data elements determines the registries’ readiness of interoperability and data reusability to a major extent. Six health registries shared and published their metadata within a German funding initiative. As one step in the direction of a common set of data elements, a selection of those metadata was evaluated with regard to their appropriateness for a broader usage.

Methods
Each registry was asked to contribute a 10%-selection of their data elements to an evaluation sample. The survey was set up with the online survey tool „LimeSurvey Cloud”. The registries and an accompanying project participated in the survey with one vote for each project. The data elements were offered in content groups along with the question of whether the data element is appropriate for health registries on a broader scale. The question could be answered using a Likert scale with five options. Furthermore, “no answer” was allowed. The level of agreement was assessed using weighted Cohen’s kappa and Kendall’s coefficient of concordance.

Results
The evaluation sample consisted of 269 data elements. With a grade of “perhaps recommendable” or higher in the mean, 169 data elements were selected. These data elements belong preferably to groups’ demography, education/occupation, medication, and nutrition. Half of the registries lost significance compared with their percentage of data elements in the evaluation sample, one remained stable. The level of concordance was adequate.

Conclusions
The survey revealed a set of 169 data elements recommended for health registries. When developing a registry, this set could be valuable help in selecting the metadata appropriate to answer the registry’s research questions. However, due to the high specificity of research questions, data elements beyond this set will be needed to cover the whole range of interests of a register. A broader discussion and subsequent surveys are needed to establish a common set of data elements on an international scale.
Knowledge of gendered needs among the planners and policy makers for prevention of NCDs in Bangladesh: a qualitative exploration
Authors: Akhter Sadika , Kamruzzaman Mohammed , Anwar Iqbal , Banu Mahmuda Shaila , Reidpath Daniel D , Cameron Adrian J 
Published: May 2024

Abstract
Background
Globally, non-communicable diseases (NCDs) are increasingly the primary cause of mortality and morbidity among women. Like many developing countries, Bangladesh also faces a growing burden of NCDs. The “Multisectoral Action Plan for Prevention and Control of Non-communicable Diseases, 2018–2025” signifies Bangladesh’s commitment to comprehensively combating the rising burden of NCDs. This study investigates the perceptions of those involved in developing the action plan and if/how a gender lens was incorporated into its implementation.

Methods
In-depth interviews were conducted with 25 key individuals involved in a high-level committee to develop and implement Bangladesh’s multisectoral action plan to address the burden of NCDs. Data were collected between July and November 2021, and thematic analysis was conducted.

Results
The findings revealed that interviewees believed the multisectoral action plan adopted a population-wide approach without considering gender-specific needs. This study presents the explanations for this inattention under five themes: (1) A population-level approach to NCD prevention; (2) Understanding women’s health beyond reproductive health; (3) Absence of gender-specific programs; (4) Lack of consideration of gender constraints on physical activity; and (5) Lack of collaborative efforts to address NCDs beyond the health ministry.

Conclusion
In conclusion, governments in countries like Bangladesh can develop more effective strategies to reduce the disease burden of NCDs among women by recognizing and addressing the gendered nature of preventive health. This can be achieved by promoting gender-responsive research, programs, and policy initiatives that consider women’s specific health concerns, ultimately leading to better health outcomes for all.
Interfaces of ‘being healthy and being Ill’: how is health being perceived by individuals with non-communicable chronic conditions?
Authors: Bhor Nilanjan , Nadh P Omkar 
Published: May 2024

Abstract
Background
Accommodating chronic care into the everyday lives of individuals diagnosed with non-communicable chronic conditions often poses significant challenges. Several studies in public health literature that addressed the question of non-adherence to treatment by turning their gaze towards individual’s perception of their own health restricted the use of perception exploration to visceral states and corporeality without adequately acknowledging the mutual permeance of socio-biological worlds. This study explored the socio-economic genealogies of individuals, to understand the role of structural and intermediate factors that determine health perceptions, by attempting to answer the question ‘how do individuals with non-communicable chronic conditions perceive their health as healthy or ill’?.

Methods
This study was conducted in a low-income neighbourhood called Kadugondanahalli in India using qualitative research methods. A total of 20 in-depth interviews were conducted with individuals diagnosed with non-communicable chronic conditions. Individuals were recruited through purposive and snowball sampling.

Results
The participants predominantly perceived their health as being healthy and ill in an episodic manner while adhering to their treatment and medications for chronic conditions. This was strongly determined by the factors such as presence of family support and caregiving, changes in work and occupation, changes in lifestyle, psychological stress from being diagnosed, and care-seeking practices. This episodic perception of illness led to the non-adherence of prescribed chronic care.

Conclusions
Due to the episodic manner in which the participants experienced their illness, the paper recommends considering health and illness as two different entities while researching chronic conditions. It is important for the health system to understand and fix the healthy and ill episodes, which often lead to switching between controlled and uncontrolled states of diabetes and hypertension. To do so, it is important to consider the social, economic, behavioural and psychological factors in an individual’s health outcome. The interplay between these factors has socialized health perception and various related practices from the individual to the community level. Therefore, the health system needs to re-strategize its focus from individual to community level interventions to address the determinants of health and NCD risk factors by strengthening the NCD prevention approach.
Potential antivirulence activity of sub-inhibitory concentrations of ciprofloxacin against Proteus mirabilis isolates: an in-vitro and in-vivo study
Authors: Elhosseini Mohamed A. , El-Banna Tarek E. , Sonbol Fatma I. , El-Bouseary Maisra M. 
Published: May 2024

AbstractBackgroundProteus mirabilisis a significant nosocomial pathogen that is frequently associated with a wide range of infections, necessitating heightened attention to mitigate potential health risks. Hence, this study was performed to investigate the impact of sub-minimum inhibitory concentrations (MICs) of ciprofloxacin (CIP) onProteus mirabilisclinical isolates.MethodsThe sub-MICs of CIP were selected using the growth curve approach. The untreated and treated isolates with sub-MICs of CIP were assessed for their biofilm development, motilities on agar, and other virulence factors. The cell morphology of untreated and treated isolates with sub-MIC of CIP was explored using electron microscope. Moreover, the expression levels of the virulence genes in isolates were measured using quantitative real-time PCR.ResultsData revealed that sub-MICs of CIP significantly (p < 0.05), in a concentration-dependent manner, inhibited biofilm formation and other virulence factors in the selected isolates. Electron microscope analysis showed cell enlargement and various abnormalities in the cell wall and membrane integrity.ConclusionSub-MICs of CIP exhibited inhibition of virulence and alterations in morphological integrity againstP. mirabilisisolates.
Developing a competency model for Chinese general practitioners: a mixed-methods study
Authors: Gong Xue , Zhang Xu , Zhang Xinyan , Li Yixuan , Zhang Yang , Yu Xiaosong 
Published: May 2024

Abstract
Background
The Chinese government has formulated a series of policies and strengthened training of general practitioners (GPs) to support their role as “gatekeepers” of residents’ health. This study aimed to explore the core competencies of Chinese GPs and develop a competency framework in line with China’s actual conditions, which can provide a more scientific basis for the education, training, and evaluation of GPs.

Methods
Literature analysis and behaviour event interviews were conducted to build the competency dictionary and the initial version of the competency model. Two rounds of Delphi were performed to gain consensus on the final model. The questionnaire survey was carried out in 10 provinces (municipalities, autonomous regions) of China, and GPs were invited to score the importance of each competency item. The total sample was randomly divided into two groups. One group was for exploratory factor analysis (EFA), and the other was for confirmatory factor analysis (CFA) to examine the scale’s reliability and validity.

Results
The dictionary of general practitioners’ competency including 107 competency items was constructed. After two rounds of Delphi, a consensus was reached on 60 competencies in 6 domains. A total of 1917 valid questionnaires were obtained in the nationwide survey. The average importance score of all second-level indicators is 4.53 ± 0.45. The Cronbach’s α coefficient is 0.984. The results of the five factors extracted by EFA showing the 68.16% cumulative explained variance variation is considered to be consistent with the six dimensions obtained by Delphi after thorough discussion. The model fitness indexes obtained by CFA were acceptable (χ2/df = 4.909, CFI = 0.869, NFI = 0.841, RMSEA = 0.065). The values of the composite reliability (CR) of the six dimensions were all greater than 0.7 (0.943, 0.927, 0.937, 0.927, 0.943, 0.950), and the average of variance extracted (AVE) were all greater than 0.5 (0.562, 0.613, 0.649, 0.563, 0.626, 0.635). The results showed that the model has good reliability and validity.

Conclusion
A competency model for GPs suited to China has been developed, which may offer guidance for future training and medical licensing examinations of GPs.