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  • 1
    Online Resource
    Online Resource
    Changes in Nursing Students' Career Choices Following the COVID-19 Pandemic in China
    Frontiers Media SA ; 2021
    In:  Frontiers in Psychiatry Vol. 12 ( 2021-4-13)
    Details
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 12 ( 2021-4-13)
    Abstract: Background: Health professionals including nurses have experienced heavy workload and great physical and mental health challenges during the coronavirus disease 19 (COVID-19) pandemic, which may affect nursing students' career choices. This study examined the changes in nursing students' career choices after the onset of the COVID-19 pandemic in China. Methods: This study was conducted in five University nursing schools in China between September 14, 2020 and October 7, 2020. Career choices before and after the COVID-19 pandemic were collected and analyzed. Results: In total, 1,070 nursing students participated in the study. The reported choice of nursing as future career increased from 50.9% [95% confidence interval (CI): 47.9–53.9%] before the COVID-19 pandemic to 62.7% (95%CI: 59.8–65.6%) after the onset of COVID-19 pandemic. Students who chose nursing as their future career following the COVID-19 outbreak had less severe depression and anxiety compared to those who did not choose nursing, but the associations of depression and anxiety with career choice disappeared in multivariable analyses. Binary logistic regression analysis revealed that male gender [odds ratio (OR) = 0.68, 95% CI: 0.50–0.91] , rural residence (OR = 1.53, 95%CI: 1.17–2.00), fourth year students (OR = 0.50, 95%CI: 0.35–0.72), negative experiences during the COVID-19 pandemic (OR = 0.66, 95%CI: 0.47–0.92), and good health (OR = 4.6, 95%CI: 1.78–11.87) were significantly associated with the choice of nursing as future career after the onset of the COVID-19 pandemic. Conclusions: The COVID-19 pandemic appeared to have a positive influence on the career choice of nursing among Chinese nursing students.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    URL: Article
    DOI: 10.3389/fpsyt.2021.657021
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2564218-2
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  • 2
    Online Resource
    Online Resource
    Data_Sheet_1.docx
    Frontiers Media SA ; 2021
    In:  Frontiers in Psychiatry Vol. 12 ( 2021-8-25)
    Details
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 12 ( 2021-8-25)
    Abstract: Background: Nursing students who suffer from co-occurring anxiety experience added difficulties when communicating and interacting with others in a healthy, positive, and meaningful way. Previous studies have found strong positive correlations between Internet addiction (IA) and anxiety, suggesting that nursing students who report severe IA are susceptible to debilitating anxiety as well. To date, however, network analysis (NA) studies exploring the nature of association between individual symptoms of IA and anxiety have not been published. Objective: This study examined associations between symptoms of IA and anxiety among nursing students using network analysis. Methods: IA and anxiety symptoms were assessed using the Internet Addiction Test (IAT) and the Generalized Anxiety Disorder Screener (GAD-7), respectively. The structure of IA and anxiety symptoms was characterized using “Strength” as a centrality index in the symptom network. Network stability was tested using a case-dropping bootstrap procedure and a Network Comparison Test (NCT) was conducted to examine whether network characteristics differed on the basis of gender and by region of residence. Results: A total of 1,070 nursing students participated in the study. Network analysis showed that IAT nodes, “Academic decline due to Internet use,” “Depressed/moody/nervous only while being off-line,” “School grades suffer due to Internet use,” and “Others complain about your time spent online” were the most influential symptoms in the IA-anxiety network model. Gender and urban/rural residence did not significantly influence the overall network structure. Conclusion: Several influential individual symptoms including Academic declines due to Internet use, Depressed/moody/nervous only while being off-line, School grades suffering due to Internet use and Others complain about one's time spent online emerged as potential targets for clinical interventions to reduce co-occurring IA and anxiety. Additionally, the overall network structure provides a data-based hypothesis for explaining potential mechanisms that account for comorbid IA and anxiety.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    URL: Article
    URL: Article
    DOI: 10.3389/fpsyt.2021.723355
    DOI: 10.3389/fpsyt.2021.723355.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2564218-2
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  • 3
    Online Resource
    Online Resource
    Data_Sheet_1.docx
    Frontiers Media SA ; 2021
    In:  Frontiers in Psychiatry Vol. 12 ( 2021-6-8)
    Details
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 12 ( 2021-6-8)
    Abstract: Background: Prevalence estimates of major depressive disorder (MDD) among adults in China have varied widely between studies. In this systematic review and meta-analysis, the overall prevalence of MDD in the Chinese population was estimated from published epidemiological studies and potential moderators that account for variability in estimates were assessed. Methods: A systematic literature search was conducted in PubMed, EMBASE, Web of Science, PsycINFO, China National Knowledge Internet (CNKI), and WanFang databases to identify relevant studies. Data analyses were conducted using the Comprehensive Meta-Analysis Version 2.0. Results: Forty studies comprising 1,024,087 subjects were included. The pooled point, 12-month, and lifetime prevalence rates of MDD in China were 1.1% (95% CI: 0.9–1.4%), 1.6% (95% CI: 1.0–2.5%), and 1.8% (95% CI: 1.5–2.2%), respectively. Subgroup and meta-regression analyses revealed gender, marital status, survey year, being published in English language, use of the Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic systems and age as significant moderators of MDD prevalence. Conclusion: The overall prevalence of MDD in the Chinese population appears to be lower than that of most countries, but the rates have been increasing over time and are elevated in particular demographic subgroups. Due to the negative consequences of MDD, effective preventive measures, early identification, and timely treatments are still important and should be offered to those in need.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    URL: Article
    URL: Article
    DOI: 10.3389/fpsyt.2021.659470
    DOI: 10.3389/fpsyt.2021.659470.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2564218-2
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  • 4
    Online Resource
    Online Resource
    Data_Sheet_1.docx
    Frontiers Media SA ; 2021
    In:  Frontiers in Psychiatry Vol. 12 ( 2021-9-30)
    Details
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 12 ( 2021-9-30)
    Abstract: Background: Depression has been a common mental health problem during the COVID-19 epidemic. From a network perspective, depression can be conceptualized as the result of mutual interactions among individual symptoms, an approach that may elucidate the structure and mechanisms underlying this disorder. This study aimed to examine the structure of depression among residents in Wuhan, the epicenter of the COVID-19 outbreak in China, in the later stage of the COVID-19 pandemic. Methods: A total of 2,515 participants were recruited from the community via snowball sampling. The Patient Health Questionnaire was used to assess self-reported depressive symptoms with the QuestionnaireStar program. The network structure and relevant centrality indices of depression were examined in this sample. Results: Network analysis revealed Fatigue, Sad mood, Guilt and Motor disturbances as the most central symptoms, while Suicide and Sleep problems had the lowest centrality. No significant differences were found between women and men regarding network structure (maximum difference = 0.11, p = 0.44) and global strength (global strength difference = 0.04; female vs. male: 3.78 vs. 3.83, p = 0.51), a finding that suggests there are no gender differences in the structure or centrality of depressive symptoms. Limitations: Due to the cross-sectional study design, causal relationships between these depressive symptoms or dynamic changes in networks over time could not be established. Conclusions: Fatigue, Sad mood, Guilt, and Motor disturbances should be prioritized as targets in interventions and prevention efforts to reduce depression among residents in Wuhan, in the later stage of the COVID-19 pandemic.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    URL: Article
    URL: Article
    DOI: 10.3389/fpsyt.2021.735973
    DOI: 10.3389/fpsyt.2021.735973.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2564218-2
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  • 5
    Online Resource
    Online Resource
    Data_Sheet_1.docx
    Frontiers Media SA ; 2022
    In:  Frontiers in Psychiatry Vol. 13 ( 2022-10-24)
    Details
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 13 ( 2022-10-24)
    Abstract: Depression often triggers addictive behaviors such as Internet addiction. In this network analysis study, we assessed the association between Internet addiction and residual depressive symptoms in patients suffering from clinically stable recurrent depressive disorder (depression hereafter). Materials and methods In total, 1,267 depressed patients were included. Internet addiction and residual depressive symptoms were measured using the Internet Addiction Test (IAT) and the two-item Patient Health Questionnaire (PHQ-2), respectively. Central symptoms and bridge symptoms were identified via centrality indices. Network stability was examined using the case-dropping procedure. Results The prevalence of IA within this sample was 27.2% (95% CI: 24.7–29.6%) based on the IAT cutoff of 50. IAT15 (“Preoccupation with the Internet”), IAT13 (“Snap or act annoyed if bothered without being online”) and IAT2 (“Neglect chores to spend more time online”) were the most central nodes in the network model. Additionally, bridge symptoms included the node PHQ1 (“Anhedonia”), followed by PHQ2 (“Sad mood”) and IAT3 (“Prefer the excitement online to the time with others”). There was no gender difference in the network structure. Conclusion Both key central and bridge symptoms found in the network analysis could be potentially targeted in prevention and treatment for depressed patients with comorbid Internet addiction and residual depressive symptoms.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    URL: Article
    URL: Article
    DOI: 10.3389/fpsyt.2022.997593
    DOI: 10.3389/fpsyt.2022.997593.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2564218-2
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  • 6
    Online Resource
    Online Resource
    The Association Between Post-stroke Depression, Aphasia, and Physical Independence in Stroke Patients at 3-Month Follow-Up
    Frontiers Media SA ; 2018
    In:  Frontiers in Psychiatry Vol. 9 ( 2018-8-20)
    Details
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 9 ( 2018-8-20)
    Type of Medium: Online Resource
    ISSN: 1664-0640
    URL: Article
    DOI: 10.3389/fpsyt.2018.00374
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2018
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  • 7
    Online Resource
    Online Resource
    A Study on the Large-Diameter Seamless Gas Cylinder Dimensional Accuracy of Rotary Expanding Process with Finite Element Analysis
    Trans Tech Publications, Ltd. ; 2011
    In:  Advanced Materials Research Vol. 328-330 ( 2011-9), p. 136-142
    Details
    In: Advanced Materials Research, Trans Tech Publications, Ltd., Vol. 328-330 ( 2011-9), p. 136-142
    Abstract: This paper expounds the application of rotary expanding process to manufacture the large-diameter hot-rolled seamless gas cylinder. Through analytic geometry method, an equation is established among the tail roll gap, roll distance and the plug protrusion distance. 3D drawing software CATIA-V5 is applied to build 3d models of steel tube and rolling tools. The rolling process is simulated by MSC.Marc FEA (finite element analysis) software. Marc’s second development function and FORTRAN software’s extracting finite element node coordinates function are applied to calculate the wall thickness uniformity. A novel method to calculate the wall thickness uniformity after finite element analysis is proposed. The wall thickness uniformity of steel tube after rolling is well simulated and compared by MSC.Marc FEA software, which can help the technologist to predict and choose the best rolling parameter. For gas cylinder rolling, the tail roll gap should be set to 17mm. The roller distance and the plug protrusion distance should be set as 342mm and 78mm separately.
    Type of Medium: Online Resource
    ISSN: 1662-8985
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMR.328-330
    DOI: 10.4028/www.scientific.net/AMR.328-330.136
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2011
    detail.hit.zdb_id: 2265002-7
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  • 8
    Online Resource
    Online Resource
    Design and Implementation of a 12-Bit 100MS/s ADC
    Trans Tech Publications, Ltd. ; 2012
    In:  Applied Mechanics and Materials Vol. 229-231 ( 2012-11), p. 1507-1510
    Details
    In: Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 229-231 ( 2012-11), p. 1507-1510
    Abstract: In this paper, a 12-bit 100MS/s pipelined ADC is designed. Capacitance flip-around structure is used in sample and hold circuit, and bootstrap structure is adopted in sampling switch which has high linearity. Progressively decreasing technology is used to reduce power consumption and circuit area, where 2.5bit/stage structure is used in the first two stages, 1.5bit/stage structure is used for 3rd to 8th stages, and at the end of the circuit is a 2bit-flash ADC. Digital calibration is designed to eliminate the offset of comparators. Switched-capacitor dynamic comparator structure is used to further reduce the power consumption. The ADC is implemented by using TSMC 0.18m CMOS process with die area be 1.23mm×2.3mm. SNDR and SFDR are 65dB and 71.3dB, when sampling at 100MHz sampling clock. The current of the circuit is 96mA under 1.8V power supply.
    Type of Medium: Online Resource
    ISSN: 1662-7482
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMM.229-231
    DOI: 10.4028/www.scientific.net/AMM.229-231.1507
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2012
    detail.hit.zdb_id: 2251882-4
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  • 9
    Online Resource
    Online Resource
    Image_2.jpg
    Frontiers Media SA ; 2020
    In:  Frontiers in Psychiatry Vol. 11 ( 2020-11-20)
    Details
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 11 ( 2020-11-20)
    Abstract: Objective: Insomnia is a major health challenge in the general population, but the results of the gender differences in the epidemiology of insomnia have been mixed. This is a meta-analysis to examine the gender difference in the prevalence of insomnia among the general population. Methods: Two reviewers independently searched relevant publications in PubMed, EMBASE, PsycINFO, Web of Science from their inception to 16 April 2019. Studies that reported the gender-based prevalence of insomnia according to the international diagnostic criteria were included for analyses using the random-effects model. Results: Eventually 13 articles were included in the meta-analysis. The pooled prevalence of insomnia in the general population was 22.0% [ n = 22,980, 95% confidence interval (CI): 17.0–28.0%], and females had a significantly higher prevalence of insomnia compared with males (OR = 1.58, 95% CI: 1.35, 1.85, Z = 5.63, p & lt; 0.0001). Subgroup analyses showed that greater gender difference was associated with the use of case-control study design and consecutive sampling method. Meta-regression analyses also revealed that higher proportion of females and better study quality were significantly associated with greater gender difference. Conclusions: This meta-analysis found that the prevalence of insomnia in females was significantly higher than males in the included studies. Due to the negative effects of insomnia on health, regular screening, and effective interventions should be implemented in the general population particularly for females.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fpsyt.2020.577429
    DOI: 10.3389/fpsyt.2020.577429.s001
    DOI: 10.3389/fpsyt.2020.577429.s002
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2020
    detail.hit.zdb_id: 2564218-2
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  • 10
    Online Resource
    Online Resource
    Data_Sheet_1.pdf
    Frontiers Media SA ; 2022
    In:  Frontiers in Psychiatry Vol. 13 ( 2022-3-17)
    Details
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 13 ( 2022-3-17)
    Abstract: Symptoms of depression and pain often overlap, and they negatively influence the prognosis and treatment outcome of both conditions. However, the comorbidity of depression and pain has not been examined using network analysis, especially in the context of a pandemic. Thus, we mapped out the network connectivity among the symptoms of depression and pain in Wuhan residents in China during the late stage of the COVID-19 pandemic. Methods This cross-sectional study was conducted from May 25, 2020 to June 18, 2020 in Wuhan, China. Participants' depressive and pain symptoms were assessed using the 9-item Patient Health Questionnaire (PHQ9) and a pain numeric rating scale (NRS), respectively. Network analyses were performed. Results In total, 2,598 participants completed all assessments. PHQ4 (fatigue) in the depression community showed the highest strength value, followed by PHQ6 (worthlessness) and PHQ2 (depressed or sad mood). PHQ4 (fatigue) was also the most key bridge symptom liking depression and pain, followed by PHQ3 (sleep difficulties). There were no significant differences in network global strength (females: 4.36 vs. males: 4.29; S = 0.075, P = 0.427), network structure-distribution of edge weights (M = 0.12, P = 0.541), and individual edge weights between male and female participants. Conclusion Depressive and pain symptoms showed strong cross-association with each other. “Fatigue” was the strongest central and bridge symptom in the network model, while “sleep difficulties” was the second strongest bridge symptom. Targeting treatment of both fatigue and sleep problems may help improve depressive and pain symptoms in those affected.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    URL: Article
    URL: Article
    DOI: 10.3389/fpsyt.2022.814790
    DOI: 10.3389/fpsyt.2022.814790.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2564218-2
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