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      Anxiety and depressive symptoms in college students during the late stage of the COVID-19 outbreak: a network approach

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          Abstract

          Mental health problems are common in college students even in the late stage of the coronavirus disease 2019 (COVID-19) outbreak. Network analysis is a novel approach to explore interactions of mental disorders at the symptom level. The aim of this study was to elucidate characteristics of depressive and anxiety symptoms network in college students in the late stage of the COVID-19 outbreak. A total of 3062 college students were included. The seven-item Generalized Anxiety Disorder Scale (GAD-7) and nine-item Patient Health Questionnaire (PHQ-9) were used to measure anxiety and depressive symptoms, respectively. Central symptoms and bridge symptoms were identified based on centrality and bridge centrality indices, respectively. Network stability was examined using the case-dropping procedure. The strongest direct relation was between anxiety symptoms “Nervousness” and “Uncontrollable worry”. “Fatigue” has the highest node strength in the anxiety and depression network, followed by “Excessive worry”, “Trouble relaxing”, and “Uncontrollable worry”. “Motor” showed the highest bridge strength, followed by “Feeling afraid” and “Restlessness”. The whole network was robust in both stability and accuracy tests. Central symptoms “Fatigue”, “Excessive worry”, “Trouble relaxing” and “Uncontrollable worry”, and critical bridge symptoms “Motor”, “Feeling afraid” and “Restlessness” were highlighted in this study. Targeting interventions to these symptoms may be important to effectively alleviate the overall level of anxiety and depressive symptoms in college students.

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          A brief measure for assessing generalized anxiety disorder: the GAD-7.

          Generalized anxiety disorder (GAD) is one of the most common mental disorders; however, there is no brief clinical measure for assessing GAD. The objective of this study was to develop a brief self-report scale to identify probable cases of GAD and evaluate its reliability and validity. A criterion-standard study was performed in 15 primary care clinics in the United States from November 2004 through June 2005. Of a total of 2740 adult patients completing a study questionnaire, 965 patients had a telephone interview with a mental health professional within 1 week. For criterion and construct validity, GAD self-report scale diagnoses were compared with independent diagnoses made by mental health professionals; functional status measures; disability days; and health care use. A 7-item anxiety scale (GAD-7) had good reliability, as well as criterion, construct, factorial, and procedural validity. A cut point was identified that optimized sensitivity (89%) and specificity (82%). Increasing scores on the scale were strongly associated with multiple domains of functional impairment (all 6 Medical Outcomes Study Short-Form General Health Survey scales and disability days). Although GAD and depression symptoms frequently co-occurred, factor analysis confirmed them as distinct dimensions. Moreover, GAD and depression symptoms had differing but independent effects on functional impairment and disability. There was good agreement between self-report and interviewer-administered versions of the scale. The GAD-7 is a valid and efficient tool for screening for GAD and assessing its severity in clinical practice and research.
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            The PHQ-9: validity of a brief depression severity measure.

            While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity. The Patient Health Questionnaire (PHQ) is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores each of the 9 DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6,000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. As PHQ-9 depression severity increased, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and health care utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-9 score > or =10 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 scores of 5, 10, 15, and 20 represented mild, moderate, moderately severe, and severe depression, respectively. Results were similar in the primary care and obstetrics-gynecology samples. In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity. These characteristics plus its brevity make the PHQ-9 a useful clinical and research tool.
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              Regression Shrinkage and Selection Via the Lasso

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                Author and article information

                Contributors
                sarahbon@163.com
                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group UK (London )
                2158-3188
                17 December 2021
                17 December 2021
                2021
                : 11
                : 638
                Affiliations
                [1 ]GRID grid.437123.0, ISNI 0000 0004 1794 8068, Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, , University of Macau, ; Macao, SAR China
                [2 ]GRID grid.437123.0, ISNI 0000 0004 1794 8068, Centre for Cognitive and Brain Sciences, , University of Macau, ; Macao, SAR China
                [3 ]GRID grid.437123.0, ISNI 0000 0004 1794 8068, Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, ; Macao, SAR China
                [4 ]GRID grid.262246.6, ISNI 0000 0004 1765 430X, Department of Public Health, , Medical College, Qinghai University, ; Xining, Qinghai Province China
                [5 ]GRID grid.24696.3f, ISNI 0000 0004 0369 153X, The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, ; Beijing, China
                [6 ]GRID grid.16890.36, ISNI 0000 0004 1764 6123, School of Nursing, Hong Kong Polytechnic University, ; Hong Kong, SAR China
                [7 ]GRID grid.16890.36, ISNI 0000 0004 1764 6123, Department of Rehabilitation Sciences, & Mental Health Research Centre, , Hong Kong Polytechnic University, ; Hong Kong, SAR China
                [8 ]GRID grid.445012.6, ISNI 0000 0001 0643 7658, Department of Business Administration, , Hong Kong Shue Yan University, ; Hong Kong, China
                [9 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Department of Psychiatry, , The Melbourne Clinic and St Vincent’s Hospital, University of Melbourne, Richmond, ; Victoria, Australia
                Author information
                http://orcid.org/0000-0001-9579-9959
                http://orcid.org/0000-0002-8189-8216
                http://orcid.org/0000-0002-2906-0029
                Article
                1738
                10.1038/s41398-021-01738-4
                8678580
                34921138
                2a4ec08d-33ba-49c2-94b7-ed4afbca4246
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 August 2021
                : 23 October 2021
                : 28 October 2021
                Funding
                Funded by: Beijing Municipal Administration of Hospitals Incubating Program (PX2018063)
                Funded by: The study was supported by the National Science and Technology Major Project for investigational new drug (2018ZX09201-014), the Beijing Municipal Science & Technology Commission (No. Z181100001518005), and the University of Macau (MYRG2019-00066-FHS).
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Clinical Psychology & Psychiatry
                diseases,depression
                Clinical Psychology & Psychiatry
                diseases, depression

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