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Article ; Online: Translation and validation of the Chinese version of the Self-awareness Scale for Nurses.

Chen, Qing / Liang, Chunguang / Lu, Jing / Jiang, Zhaoquan

2024 Volume 12, Page(s) 1352983

Abstract: Background: Levels of self-awareness may affect the decision-making ability of clinical nurses and may also be related to mental health. Therefore, it is crucial to develop tools to identify nurses' level of self-awareness. The purpose of this study was ...

Abstract	Background: Levels of self-awareness may affect the decision-making ability of clinical nurses and may also be related to mental health. Therefore, it is crucial to develop tools to identify nurses' level of self-awareness. The purpose of this study was to investigate the reliability and validity of a short scale among Chinese nurses and to explore the factors associated with nurses' self-awareness. Methods: A total of 957 participants were recruited, 549 participants were used for reliability tests and 408 subjects were used for impact factor studies. They completed the General Information Questionnaire, the Self-Awareness Scale for Nurses, and the Psychological Distress Scale. Exploratory factor analysis, confirmatory factor analysis, Cronbach's alpha, and retest reliability were used to investigate the psychometric properties of the Self-Awareness Scale for Nurses. Multiple regression analyses were used in this study to investigate the relationship between nurses' self-awareness and the independent variables. Results: A 4-factor model of the Chinese version of the Self-Awareness Scale for Nurses was validated. The overall Cronbach's alpha value for the Chinese version of the Self-Awareness Scale for Nurses was 0.873. Cronbach's alpha values for each subscale ranged from 0.808 to 0.979. Significant predictors of each dimension of the Self-awareness and the total score of the scale were age and work experience. Conclusion: The Chinese version of the Self-Awareness Scale for Nurses is a valid and reliable scale.
MeSH term(s)	Humans ; Female ; Male ; Adult ; Psychometrics ; Reproducibility of Results ; Surveys and Questionnaires ; China ; Nurses/psychology ; Middle Aged ; Factor Analysis, Statistical ; Awareness ; Translations
Language	English
Publishing date	2024-04-17
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Validation Study
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2024.1352983
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study.

Li, Enguang / Ai, Fangzhu / Liang, Chunguang

Frontiers in public health

2024 Volume 11, Page(s) 1348803

Abstract: Objective: Depression is very common and harmful in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression early. However, there are no validated tools to assess the likelihood of ... ...

Abstract	Objective: Depression is very common and harmful in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression early. However, there are no validated tools to assess the likelihood of depression in patients with OSAHS. This study used data from the National Health and Nutrition Examination Survey (NHANES) database and machine learning (ML) methods to construct a risk prediction model for depression, aiming to predict the probability of depression in the OSAHS population. Relevant features were analyzed and a nomogram was drawn to visually predict and easily estimate the risk of depression according to the best performing model. Study design: This is a cross-sectional study. Methods: Data from three cycles (2005-2006, 2007-2008, and 2015-2016) were selected from the NHANES database, and 16 influencing factors were screened and included. Three prediction models were established by the logistic regression algorithm, least absolute shrinkage and selection operator (LASSO) algorithm, and random forest algorithm, respectively. The receiver operating characteristic (ROC) area under the curve (AUC), specificity, sensitivity, and decision curve analysis (DCA) were used to assess evaluate and compare the different ML models. Results: The logistic regression model had lower sensitivity than the lasso model, while the specificity and AUC area were higher than the random forest and lasso models. Moreover, when the threshold probability range was 0.19-0.25 and 0.45-0.82, the net benefit of the logistic regression model was the largest. The logistic regression model clarified the factors contributing to depression, including gender, general health condition, body mass index (BMI), smoking, OSAHS severity, age, education level, ratio of family income to poverty (PIR), and asthma. Conclusion: This study developed three machine learning (ML) models (logistic regression model, lasso model, and random forest model) using the NHANES database to predict depression and identify influencing factors among OSAHS patients. Among them, the logistic regression model was superior to the lasso and random forest models in overall prediction performance. By drawing the nomogram and applying it to the sleep testing center or sleep clinic, sleep technicians and medical staff can quickly and easily identify whether OSAHS patients have depression to carry out the necessary referral and psychological treatment.
MeSH term(s)	Adult ; Humans ; Cross-Sectional Studies ; Nutrition Surveys ; Depression/epidemiology ; Sleep Apnea, Obstructive/epidemiology ; Syndrome ; Machine Learning
Language	English
Publishing date	2024-01-08
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2023.1348803
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Article: Cat-E: A comprehensive web tool for exploring cancer targeting strategies.

Salihoglu, Rana / Balkenhol, Johannes / Dandekar, Gudrun / Liang, Chunguang / Dandekar, Thomas / Bencurova, Elena

Computational and structural biotechnology journal

2024 Volume 23, Page(s) 1376–1386

Abstract: Identifying potential cancer-associated genes and drug targets from omics data is challenging due to its diverse sources and analyses, requiring advanced skills and large amounts of time. To facilitate such analysis, we developed Cat-E ( ...

Abstract	Identifying potential cancer-associated genes and drug targets from omics data is challenging due to its diverse sources and analyses, requiring advanced skills and large amounts of time. To facilitate such analysis, we developed Cat-E (
Language	English
Publishing date	2024-03-27
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2694435-2
ISSN	2001-0370
ISSN	2001-0370
DOI	10.1016/j.csbj.2024.03.024
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Article: Reliability and validity evaluation of the Chinese version of the gender misconceptions of men in nursing (GEMINI) scale among nursing students.

Xu, Huameng / Liang, Chunguang / Kong, Jie / Chen, Qing / Zhao, Ying / Zhang, Fan

BMC nursing

2024 Volume 23, Issue 1, Page(s) 266

Abstract: Background: Misconceptions about male nurses not only exacerbate the gender imbalance in the nursing profession but also negatively impact male nurses embarking on their careers. Currently, no tool exists to measure the gender biases toward males in ... ...

Abstract	Background: Misconceptions about male nurses not only exacerbate the gender imbalance in the nursing profession but also negatively impact male nurses embarking on their careers. Currently, no tool exists to measure the gender biases toward males in nursing among nursing students in China. Consequently, the primary objective of this study is to assess the validity and reliability of the Chinese translation of the Gender Misconceptions of Men in Nursing (GEMINI) scale among nursing students. Methods: This cross-sectional study involved 1,102 nursing students from China who participated online. We utilized the Brislin translation technique with a forward-backward approach. To determine the factor structure within the Men in Nursing Gender Misconceptions Scale's Chinese version, both exploratory (EFA) and confirmatory factor analysis (CFA) were applied. The scale's internal consistency was measured through the Cronbach's alpha coefficient, corrected item-total correlation, and a retest reliability assessment. Results: The scale showed a content validity index of 0.938 and a retest reliability of 0.844. EFA indicated a two-factor structure for the translated instrument. CFA revealed a chi-square/degree of freedom of 3.837, an incremental fit index (IFI) of 0.952, a goodness-of-fit index (GFI) of 0.910, a comparative fit index (CFI) of 0.952, and an RMSEA of 0.073, all of which were within acceptable limits. The scale's Cronbach's α was 0.953, and the corrected item-total correlations ranged between 0.539 and 0.838. Gender-based misconceptions about men in nursing among students appeared to be influenced by their gender and whether they considered a nursing program as their first choice when applying for a major. Misconceptions about male nurses are greater among men and those who do not consider nursing programs as their first choice when applying for a major. Conclusions: The Chinese adaptation of the GEMINI scale showcased high reliability and validity. It stands as a potential instrument to gauge gender misconceptions concerning male nurses among Chinese nursing students.
Language	English
Publishing date	2024-04-24
Publishing country	England
Document type	Journal Article
ZDB-ID	2091496-9
ISSN	1472-6955
ISSN	1472-6955
DOI	10.1186/s12912-024-01939-4
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Article: Latent profile analysis of depression in US adults with obstructive sleep apnea hypopnea syndrome.

Li, Enguang / Ai, Fangzhu / Liang, Chunguang / Chen, Qing / Zhao, Ying / Xu, Kaiyan / Kong, Jie

Frontiers in psychiatry

2024 Volume 15, Page(s) 1398669

Abstract: Objective: This study used latent profile analysis to explore the level of depression among US adults with obstructive sleep apnea hypopnea syndrome (OSAHS) symptoms and to identify different latent categories of depression to gain insight into the ... ...

Abstract	Objective: This study used latent profile analysis to explore the level of depression among US adults with obstructive sleep apnea hypopnea syndrome (OSAHS) symptoms and to identify different latent categories of depression to gain insight into the characteristic differences between these categories. Methods: The data of this study were obtained from the National Health and Nutrition Examination Survey (NHANES) database, and the subjects with OSAHS symptoms were aged 18 years and older. The latent profile analysis (LPA) method was used to fit the latent depression categories in subjects with OSAHS symptoms. The chi-square test, rank sum test, and binary logistic regression were used to analyze the influencing factors of depression subgroups in subjects with OSAHS symptoms. Results: Three latent profiles were identified: low-level (83.7%), moderate-level (14.5%) and high-level (1.8%) depression. The scores of 9 items in the high-level depression group were higher than those in the other two groups. Among them, item 4 "feeling tired or lack of energy" had the highest score in all categories. Conclusion: Depression in subjects with OSAHS symptoms can be divided into low-level, moderate-level and high-level depression. There are significant differences among different levels of depression in gender, marital status, PIR, BMI, smoking, general health condition, sleep duration and OSAHS symptom severity.
Language	English
Publishing date	2024-04-26
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2564218-2
ISSN	1664-0640
ISSN	1664-0640
DOI	10.3389/fpsyt.2024.1398669
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Article ; Online: The relationship between living alone or not and depressive symptoms in older adults: a parallel mediation effect of sleep quality and anxiety.

Huang, Mina / Liu, Kun / Liang, Chunguang / Wang, Yongzhu / Guo, Zhanpeng

BMC geriatrics

2023 Volume 23, Issue 1, Page(s) 506

Abstract: Background: With modernization and ageing in China, the population of older adults living alone is increasing. Living alone may be a potential risk factor for depressive symptoms. However, no parallel mediation model analysis has investigated the ... ...

Abstract	Background: With modernization and ageing in China, the population of older adults living alone is increasing. Living alone may be a potential risk factor for depressive symptoms. However, no parallel mediation model analysis has investigated the mediating factors for living alone or not (living arrangements) and depressive symptoms. Methods: This cross-sectional study included a total number of 10,980 participants from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), 1699 of whom lived alone and 9281 of whom did not live alone. Binary logistic regression and parallel mediation effect model were used to explore the relationship between living alone or not and depressive symptoms and possible mediation effects. Bootstrap analysis was used to examine the mediation effect of living alone or not on depressive symptoms. Results: Compared to the participants who were not living alone, the living alone group had a higher rate of depressive symptoms. The binary logistic regression showed that after adjusting for other covariates, the risk of depressive symptoms was approximately 0.21 times higher for living alone compared to not living alone (OR = 1.21, 95% CI: 1.06, 1.37). Further, the results of the bootstrap analysis supported the partial mediating role of sleep quality and anxiety. Mediation analysis revealed that sleep quality and anxiety partially mediate the relationship between living alone and depressive symptoms (β = 0.008, 95% CI [0.003, 0.014]; β = 0.015, 95% CI [0.008, 0.024], respectively). Conclusions: Sleep quality and anxiety were identified as partially parallel mediators between living alone or not and depressive symptoms. Older adults living alone with poorer sleep quality and more pronounced anxiety were positively associated with higher levels of depressive symptoms. Older adults living alone should be encouraged to engage in social activities that may improve sleep quality, relieve anxiety, and improve feelings of loneliness caused by living alone. Meanwhile, older adults living alone should receive attention and support to alleviate their depressive symptoms.
MeSH term(s)	Humans ; Aged ; Sleep Quality ; Cross-Sectional Studies ; Depression/diagnosis ; Depression/epidemiology ; Anxiety/diagnosis ; Anxiety/epidemiology ; Anxiety Disorders
Language	English
Publishing date	2023-08-22
Publishing country	England
Document type	Journal Article
ZDB-ID	2059865-8
ISSN	1471-2318 ; 1471-2318
ISSN (online)	1471-2318
ISSN	1471-2318
DOI	10.1186/s12877-023-04161-0
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Motif and conserved module analysis in DNA (promoters, enhancers) and RNA (lncRNA, mRNA) using AlModules.

Aydinli, Muharrem / Liang, Chunguang / Dandekar, Thomas

Scientific reports

2022 Volume 12, Issue 1, Page(s) 17588

Abstract: Nucleic acid motifs consist of conserved and variable nucleotide regions. For functional action, several motifs are combined to modules. The tool AIModules allows identification of such motifs including combinations of them and conservation in several ... ...

Abstract	Nucleic acid motifs consist of conserved and variable nucleotide regions. For functional action, several motifs are combined to modules. The tool AIModules allows identification of such motifs including combinations of them and conservation in several nucleic acid stretches. AIModules recognizes conserved motifs and combinations of motifs (modules) allowing a number of interesting biological applications such as analysis of promoter and transcription factor binding sites (TFBS), identification of conserved modules shared between several gene families, e.g. promoter regions, but also analysis of shared and conserved other DNA motifs such as enhancers and silencers, in mRNA (motifs or regulatory elements e.g. for polyadenylation) and lncRNAs. The tool AIModules presented here is an integrated solution for motif analysis, offered as a Web service as well as downloadable software. Several nucleotide sequences are queried for TFBSs using predefined matrices from the JASPAR DB or by using one's own matrices for diverse types of DNA or RNA motif discovery. Furthermore, AIModules can find TFBSs common to two or more sequences. Demanding high or low conservation, AIModules outperforms other solutions in speed and finds more modules (specific combinations of TFBS) than alternative available software. The application also searches RNA motifs such as polyadenylation site or RNA-protein binding motifs as well as DNA motifs such as enhancers as well as user-specified motif combinations ( https://bioinfo-wuerz.de/aimodules/ alternative entry pages: https://aimodules.heinzelab.de or https://www.biozentrum.uni-wuerzburg.de/bioinfo/computing/aimodules ). The application is free and open source whether used online, on-site, or locally.
MeSH term(s)	RNA, Long Noncoding/genetics ; RNA, Messenger/genetics ; Promoter Regions, Genetic ; DNA/chemistry ; Transcription Factors/genetics ; Transcription Factors/metabolism ; Nucleotides
Chemical Substances	RNA, Long Noncoding ; RNA, Messenger ; DNA (9007-49-2) ; Transcription Factors ; Nucleotides
Language	English
Publishing date	2022-10-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-21732-0
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: MiR-410-3p facilitates Angiotensin II-induced cardiac hypertrophy by targeting Smad7.

Jia, Guizhi / Liang, Chunguang / Li, Wenhui / Dai, Hongliang

Bioengineered

2021 Volume 13, Issue 1, Page(s) 119–127

Abstract: MicroRNAs (miRNAs) have emerged as important regulators in the development of cardiovascular diseases. miR-410-3p was shown to play a protective or detrimental role in the progression in cardiovascular events. However, the exact role and the underlying ... ...

Abstract	MicroRNAs (miRNAs) have emerged as important regulators in the development of cardiovascular diseases. miR-410-3p was shown to play a protective or detrimental role in the progression in cardiovascular events. However, the exact role and the underlying mechanism of miR-410-3p in cardiac hypertrophy have not been documented. The current work was aimed to determine the role and underlying mechanism of miR-410-3p on Angiotensin II (Ang II) induced cardiac hypertrophy. FITC-phalloidin staining was used for determination of cardiomyocyte surface area. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed to identify mRNA expression level of hypertrophic markers. Smad7 protein expression level was analyzed using Western blot. Dual-luciferase reporter assay was used to examine the regulatory function of miR-410-3p on Smad7. MiR-410-3p was found significantly up-regulated in Ang II-induced cardiac hypertrophy. MiR-410-3p inhibitor remarkably alleviated cardiomyocyte hypertrophic changes. Dual-luciferase reporter assay result indicated that miR-410-3p directly targeted Smad7 and miR-410-3p inhibitor effectively prevented Ang II triggered down-regulation of Smad7. Moreover, Smad7 overexpression significantly reversed the pro-hypertrophic effect of miR-410-3p. In summary, our findings revealed that miR-410-3p mediated Ang II-induced cardiac hypertrophy via targeting inhibition of Smad7.
MeSH term(s)	3' Untranslated Regions ; Angiotensin II/adverse effects ; Animals ; Cardiomegaly/chemically induced ; Cardiomegaly/genetics ; Cardiomegaly/metabolism ; Cells, Cultured ; Disease Models, Animal ; HEK293 Cells ; Humans ; MicroRNAs/genetics ; Myocytes, Cardiac/cytology ; Myocytes, Cardiac/drug effects ; Myocytes, Cardiac/metabolism ; Primary Cell Culture ; Rats ; Smad7 Protein/genetics ; Smad7 Protein/metabolism ; Up-Regulation
Chemical Substances	3' Untranslated Regions ; MIRN410 microRNA, rat ; MicroRNAs ; Smad7 Protein ; Smad7 protein, rat ; Angiotensin II (11128-99-7)
Language	English
Publishing date	2021-12-23
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2737830-5
ISSN	2165-5987 ; 2165-5979
ISSN (online)	2165-5987
ISSN	2165-5979
DOI	10.1080/21655979.2021.2009968
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Reliability and validity evaluation of the appropriate antibiotic use self-efficacy scale for Chinese adults.

Wang, Liying / Liang, Chunguang / Yu, Haitao / Zhang, Hui / Yan, Xiangru

BMC public health

2022 Volume 22, Issue 1, Page(s) 1344

Abstract: Background: Antibiotic resistance is one of the greatest threats to global public health. Inappropriate use of antibiotics can lead to an increase in antibiotic resistance. Individual self-efficacy in the appropriate use of antibiotics plays a key role, ...

Abstract	Background: Antibiotic resistance is one of the greatest threats to global public health. Inappropriate use of antibiotics can lead to an increase in antibiotic resistance. Individual self-efficacy in the appropriate use of antibiotics plays a key role, especially in China where the population has easy access to antibiotics. However, there are no tools available to assess the self-efficacy of appropriate antibiotic use for Chinese adults. We aimed to translate and develop a Chinese version of the Appropriate Antibiotic Use Self-Efficacy Scale (AAUSES), and validate its reliability and validity. Methods: A total of 659 adults were recruited to participate in the questionnaire. The original version scale was first translated into Chinese using the backward and forward translation procedures. The internal consistency reliability of the scale was measured by the Cronbach alpha coefficient, the test-retest reliability, and the corrected item-total correlation. The validity of the scale was assessed by the content validity index, exploratory factor analysis, and confirmatory factor analysis. Results: The content validity index of the scale was 0.96. Exploratory factor analysis (EFA) supported a 4-factor structure of the translated questionnaire, and the discriminant validity of the scale was good. Confirmatory factor analysis (CFA) showed in the model fitness index, the chi-square degree of freedom was 2.940, the goodness-of-fit index(GFI) was 0.929, the incremental fit index (IFI) was 0.908, the comparative fit index(CFI) was 0.906, root mean square error of approximation(RMSEA) was 0.077, and standardized root mean residual (SRMR) was 0.0689, and the model fitting indexes were all in the acceptable range. Cronbach alpha coefficient for the scale was 0.910. The test-retest reliability was 0.947, and the corrected item-total correlations for the items ranged from 0.488 to 0.736. Self-efficacy for appropriate antibiotic use in adults varied by education, occupation, income, place of residence, and whether or not they had heard of antibiotic resistance. Conclusions: The results indicated that the Chinese version of the AAUSES had good reliability and validity. Therefore, it can be considered a tool to evaluate the appropriate antibiotic use self-efficacy of adults in China.
MeSH term(s)	Adult ; Anti-Bacterial Agents/therapeutic use ; China ; Factor Analysis, Statistical ; Humans ; Psychometrics ; Reproducibility of Results ; Self Efficacy ; Surveys and Questionnaires
Chemical Substances	Anti-Bacterial Agents
Language	English
Publishing date	2022-07-14
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2041338-5
ISSN	1471-2458 ; 1471-2458
ISSN (online)	1471-2458
ISSN	1471-2458
DOI	10.1186/s12889-022-13729-1
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Article: PRO-Simat: Protein network simulation and design tool.

Salihoglu, Rana / Srivastava, Mugdha / Liang, Chunguang / Schilling, Klaus / Szalay, Aladar / Bencurova, Elena / Dandekar, Thomas

Computational and structural biotechnology journal

2023 Volume 21, Page(s) 2767–2779

Abstract: PRO-Simat is a simulation tool for analysing protein interaction networks, their dynamic change and pathway engineering. It provides GO enrichment, KEGG pathway analyses, and network visualisation from an integrated database of more than 8 million ... ...

Abstract	PRO-Simat is a simulation tool for analysing protein interaction networks, their dynamic change and pathway engineering. It provides GO enrichment, KEGG pathway analyses, and network visualisation from an integrated database of more than 8 million protein-protein interactions across 32 model organisms and the human proteome. We integrated dynamical network simulation using the Jimena framework, which quickly and efficiently simulates Boolean genetic regulatory networks. It enables simulation outputs with in-depth analysis of the type, strength, duration and pathway of the protein interactions on the website. Furthermore, the user can efficiently edit and analyse the effect of network modifications and engineering experiments. In case studies, applications of PRO-Simat are demonstrated: (i) understanding mutually exclusive differentiation pathways in
Language	English
Publishing date	2023-04-26
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2694435-2
ISSN	2001-0370
ISSN	2001-0370
DOI	10.1016/j.csbj.2023.04.023
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