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Dynamic functional brain network connectivity during pseudoword processing relates to children’s reading skill
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A shared cabin in the woods: The presence and presents of writing in residential academic writing retreats
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The puzzling nuanced status of who free relative clauses in English: a follow-up to Patterson and Caponigro (2015)
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In: ENGLISH LANGUAGE & LINGUISTICS, vol 26, iss 1 (2022)
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Development of a standard of care for patients with valosin-containing protein associated multisystem proteinopathy.
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In: Orphanet journal of rare diseases, vol 17, iss 1 (2022)
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Family history of FXTAS is associated with age-related cognitive-linguistic decline among mothers with the FMR1 premutation.
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In: Journal of neurodevelopmental disorders, vol 14, iss 1 (2022)
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Cortical microstructure in primary progressive aphasia: a multicenter study.
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In: Alzheimer's research & therapy, vol 14, iss 1 (2022)
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Providing a parent-administered outcome measure in a bilingual family of a father and a mother of two adolescents with ASD: brief report.
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In: Developmental neurorehabilitation, vol 25, iss 2 (2022)
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Satisfaction can co-exist with hesitation: qualitative analysis of acceptability of telemedicine among multi-lingual patients in a safety-net healthcare system during the COVID-19 pandemic.
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In: BMC health services research, vol 22, iss 1 (2022)
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Barriers and Facilitators to the Implementation of a Community Doula Program for Black and Pacific Islander Pregnant People in San Francisco: Findings from a Partnered Process Evaluation.
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In: Maternal and child health journal, vol 26, iss 4 (2022)
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Co-creating a Theory of Change to advance COVID-19 testing and vaccine uptake in underserved communities.
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Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu.
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In: International journal of environmental research and public health, vol 19, iss 4 (2022)
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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.
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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
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URL: https://escholarship.org/uc/item/74g2z1q0
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Telemedicine implementation and use in community health centers during COVID-19: Clinic personnel and patient perspectives.
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The rigor-relevance gap in Project Management research: It's time to stop the lament and think and act reflexively
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In: https://hal.archives-ouvertes.fr/hal-03563085 ; 2022 (2022)
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SAWpaper: Self-assessment works paper research compendium ...
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SAWpaper: Self-assessment works paper research compendium ...
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