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1
Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu.
In: International journal of environmental research and public health, vol 19, iss 4 (2022)
Abstract: China's migrant population has significantly contributed to its economic growth; however, the impact on the well-being of left-behind children (LBC) has become a serious public health problem. Text mining is an effective tool for identifying people's mental state, and is therefore beneficial in exploring the psychological mindset of LBC. Traditional data collection methods, which use questionnaires and standardized scales, are limited by their sample sizes. In this study, we created a computational application to quantitively collect personal narrative texts posted by LBC on Zhihu, which is a Chinese question-and-answer online community website; 1475 personal narrative texts posted by LBC were gathered. We used four types of words, i.e., first-person singular pronouns, negative words, past tense verbs, and death-related words, all of which have been associated with depression and suicidal ideations in the Chinese Linguistic Inquiry Word Count (CLIWC) dictionary. We conducted vocabulary statistics on the personal narrative texts of LBC, and bilateral t-tests, with a control group, to analyze the psychological well-being of LBC. The results showed that the proportion of words related to depression and suicidal ideations in the texts of LBC was significantly higher than in the control group. The differences, with respect to the four word types (i.e., first-person singular pronouns, negative words, past tense verbs, and death-related words), were 5.37, 2.99, 2.65, and 2.00 times, respectively, suggesting that LBC are at a higher risk of depression and suicide than their counterparts. By sorting the texts of LBC, this research also found that child neglect is a main contributing factor to psychological difficulties of LBC. Furthermore, mental health problems and the risk of suicide in vulnerable groups, such as LBC, is a global public health issue, as well as an important research topic in the era of digital public health. Through a linguistic analysis, the results of this study confirmed that the experiences of left-behind children negatively impact their mental health. The present findings suggest that it is vital for the public and nonprofit sectors to establish online suicide prevention and intervention systems to improve the well-being of LBC through digital technology.
Keyword: Behavioral and Social Science; Clinical Research; Depression; left-behind children; linguistic analysis; Mental Health; personal narrative text; Prevention; psychological well-being; Suicide; text mining; textual analysis; Toxicology
URL: https://escholarship.org/uc/item/74g2z1q0
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2
Semantic dimensions of depressions: a Demonstrative Choice Task ...
Kruse, Line. - : Open Science Framework, 2022
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3
Linguistic Analysis of Adolescent Narratives of Stressful Life Events ...
DeLap, Gwyneth. - : Open Science Framework, 2022
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4
Συγκρίνοντας μη κυριολεκτικές γλωσσικές και οπτικές πραγματώσεις του εννοιακού πεδίου της κατάθλιψης ...
Αποκατανίδου, Ευθυμία Παναγιώτη. - : Aristotle University of Thessaloniki, 2022
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5
Benefits from Repetitive Transcranial Magnetic Stimulation in Post-Stroke Rehabilitation
In: Journal of Clinical Medicine; Volume 11; Issue 8; Pages: 2149 (2022)
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6
The Role of Perceived Social Support and Stress in the Relationship between Hope and Depression among Chinese Shadow Education Tutors: A Serial Mediation Model
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 6; Pages: 3348 (2022)
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7
Motherhood and Me (Mom-Me): The Development of an Acceptance-Based Group for Women with Postpartum Mood and Anxiety Symptoms
In: Journal of Clinical Medicine; Volume 11; Issue 9; Pages: 2345 (2022)
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8
Moderating Effects of Intercultural Social Efficacy and the Role of Language in the Context of Coping Strategies in Study Abroad Depression
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2409 (2022)
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9
Detecting Depression Signs on Social Media: A Systematic Literature Review
In: Healthcare; Volume 10; Issue 2; Pages: 291 (2022)
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10
Listening to the Shenzhen Primary Healthcare Context to Adapt the mhGAP-IG.v2 for the Assessment of Depression: Qualitative Workshops with Primary Healthcare Leaders
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 5; Pages: 2570 (2022)
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11
Do psychological interventions reduce symptoms of depression for patients with bipolar I or II disorder? A meta-analysis
Yilmaz, S; Huguet, A; Kisely, S. - : Elsevier / International Society for Affective Disorders, 2022
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12
Neurobiology of peripartum mental illness
In: ISSN: 0072-9752 ; Handbook of Clinical Neurology ; https://hal.archives-ouvertes.fr/hal-03355282 ; Handbook of Clinical Neurology, 2021, 182, pp.63-82. ⟨10.1016/B978-0-12-819973-2.00005-8⟩ (2021)
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13
Point de vue linguistique sur la dépression
In: ISSN: 2552-7665 ; L’Entre-deux ; https://hal-univ-paris.archives-ouvertes.fr/hal-01370538 ; L’Entre-deux, Université d'Artois - Textes & Cultures (EA 4028), 2021, Cures de langage(s), 10 (2021)
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14
Cognitive Impairment in Late-Life Depression: A Comparative Study of Healthy Older People, Late-Life Depression, and Mild Alzheimer's Disease Using Multivariate Base Rates of Low Scores
In: EISSN: 1664-1078 ; Frontiers in Psychology ; https://hal-univ-fcomte.archives-ouvertes.fr/hal-03630024 ; Frontiers in Psychology, Frontiers, 2021, 12, pp.724731. ⟨10.3389/fpsyg.2021.724731⟩ (2021)
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15
Conversations of Symptoms of Anxiety and Depression Among Iu-Mien High School Students and their Parents
In: Asian American Research Journal , vol 1, iss 1 (2021)
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16
A Therapeutic Relational Agent for Reducing Problematic Substance Use (Woebot): Development and Usability Study.
In: Journal of medical Internet research, vol 23, iss 3 (2021)
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17
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.
In: Biological psychiatry. Cognitive neuroscience and neuroimaging, vol 6, iss 9 (2021)
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18
Multilevel Associations of Daily Skill Use and Effectiveness With Anxiety, Stress, and Depression in a Transdiagnostic Sample Undergoing Dialectical Behavior Therapy Skills Training ...
Eberle, Jeremy. - : Open Science Framework, 2021
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19
Metaphors as evidence of depression. Investigating the mental representation of depressive disorders ...
Tonon, Cristiana. - : University of Salento, 2021
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20
Learning to preserve: foreign language training as a cognitive ‘vaccine’ to prevent old-age disorders? ...
Nijmeijer, Saskia. - : Open Science Framework, 2021
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