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      Analysis of the Mental Health of Urban Migrant Children Based on Cloud Computing and Data Mining Algorithm Models

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      Scientific Programming
      Hindawi Limited

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          Abstract

          With the rapid development of internet technology, the amount of data generated is also increasing day by day. As a kind of distributed computing, cloud computing has been widely used in the analysis of massive data. With the development of China’s economic construction, the integration of urban and rural areas is constantly improving, and the migrant children in the city are also focused on. After moving into the city, migrant children not only face the pressure from the society but also face the pressure from life, which inevitably affects the physical and mental health of urban migrant children. The education of urban migrant children is also a focus that needs attention. How to integrate into the education environment of urbanization and adjust the learning pressure in the process of education is also worthy of our attention. Therefore, this article analyzes the current status of urban migrant children’s mental health based on cloud computing and data mining algorithm models. Based on the current research status of urban migrant children and the standards of mental health, this paper conducts a survey of middle and high school students in a certain city through questionnaires, then builds a data mining algorithm model to analyze the survey data, and explores the differences in the grades of students’ social identity and the differences in mental health between migrant children and urban children. According to the survey, most of the psychological performances of urban migrant children are very vague. At the same time, there are also some phenomena such as poor adaptability, bad mood, and inferiority complex. During the study period, there are situations such as unwilling to communicate with others, weariness, sensitivity, anxiety, and hostility. The overall incidence of the situation is relatively high in big cities, while the situation of urban children is relatively small.

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          Most cited references21

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          Religious Commitment and Mental Health: A Review of the Empirical Literature

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            Effects of International Labour Migration on the Mental Health and Well-Being of Left-Behind Children: A Systematic Literature Review

            Labour migration is a challenge for the globalised world due to its long-term effects such as the formation of transnational families. These families, where family members of migrant workers are “left-behind”, are becoming a common phenomenon in many low- and middle-income countries. Our systematic literature review investigated the effects of international parental labour migration on the mental health and well-being of left-behind children. Following the PRISMA guidelines, we performed searches in PubMed, PsychINFO, Web of Science, Cochrane Library and Google Scholar, resulting in 30 finally included studies. We found that mental health and well-being outcomes of left-behind children differed across and sometimes even within regions. However, only studies conducted in the Americas and South Asia observed purely negative effects. Overall, left-behind children show abnormal Strengths and Difficulties Questionnaire scores and report higher levels of depression and loneliness than children who do not live in transnational families. Evidence from the studies suggests that gender of the migrant parent, culture and other transnational family characteristics contribute to the well-being and mental health of left-behind children. Further research utilising longitudinal data is needed to better understand the complex and lasting effects on left-behind children.
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              Child feeding and stunting prevalence in left-behind children: a descriptive analysis of data from a central and western Chinese population

              Objectives To examine the effect of parental rural-to-urban internal migration on nutritional status of left-behind children and how this is related to guardianship. Methods We used UNICEF China’s maternal and child health survey data to investigate stunting prevalence and feeding practices in children left behind by rural-to-urban internal migrant parents. We also assessed the effects of primary guardianship which is related closely with parental migration. Results Of 6136 children aged 0–3 years, over one-third was left behind by one or both parents. About 13 % were left behind by mothers, leaving guardianship primarily to grandmothers. Left-behind status was not associated with stunting, yet children who were cared for primarily by their fathers had a 32 % increase of stunting compared to children cared for by the mothers [adjusted odds ratio (aOR) = 1.32; 95 % confidence interval = 1.04–1.67]. Children with migrant mothers were less likely to receive age-appropriate breastfeeding (aOR = 0.04;0.02–0.10) and a minimum acceptable diet (aOR = 0.56;0.39–0.79) compared with non-left-behind children. Conclusions Guardian’s feeding behaviours varied, and was inappropriate for both children affected and not affected by parent’s rural-to-urban internal migration. Community-based infant and young child feeding counselling and support should be provided to all caregivers. Electronic supplementary material The online version of this article (doi:10.1007/s00038-016-0844-6) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                Journal
                Scientific Programming
                Scientific Programming
                Hindawi Limited
                1875-919X
                1058-9244
                September 15 2021
                September 15 2021
                : 2021
                : 1-7
                Affiliations
                [1 ]Shandong Management University, School of Arts, Jinan, Shandong 250357, China
                Article
                10.1155/2021/7615227
                efae7f58-f497-451a-bd96-6c00a5f66728
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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