Adolescent’s psychological health in Iran

Simbar, Masoumeh; Zare, Elham; Shahhosseini, Zohreh

doi:10.1515/ijamh-2018-0221

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…In the process of modeling the negative psychological crisis of college students, the fusion of constraint fuzzy theory obtains the essential characteristics of college students' psychology from subjective and objective reasons. Considering the different stages of college students' psychology, the corresponding information entropy of the behavioral obstacles is obtained in each stage of college students' psychology, and the threshold of the behavior tendency of college students is calculated to produce psychology [17,18]. e process is as follows:…”

Section: Calculation Of the Reshold Of College Students' Psychologica...mentioning

confidence: 99%

Dynamic Early-Warning Model of College Students’ Psychological Crisis Based on Characteristic Attribute

Chen

2022

Scientific Programming

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At present, the existing dynamic early-warning model of college students' psychological crisis cannot obtain psychological characteristics, and the error of psychological crisis prediction is large. The early-warning result of psychological crisis appears big deviation. A new dynamic early-warning model of college students' psychological crisis is designed based on characteristic attributes. In the process of modeling negative psychological crisis of college students, the fusion constraint fuzzy theory obtains the essence of college students' psychology from subjective and objective reasons, gives the different stages of college students' psychology, obtains the corresponding information entropy of the behavior hindrance in each stage of college students' psychology, and calculates the threshold value of the behavior tendency of college students' psychology. Based on the psychological state information of college students obtained by perception, the fuzzy comprehensive early-warning data model of feature attributes is constructed. According to the fuzzy comprehensive early-warning method and the early-warning index system, the early-warning factor set of college students' psychological crisis is constructed, and the dynamic early-warning model of college students' psychological crisis is constructed. Experimental results show that the mining results are consistent with the actual situation, and the grey relational degree, small error probability, and mean square ratio index are better than the present model.

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Section: Calculation Of the Reshold Of College Students' Psychologica...mentioning

confidence: 99%

Dynamic Early-Warning Model of College Students’ Psychological Crisis Based on Characteristic Attribute

Chen

2022

Scientific Programming

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“…These mental disorders can be easily screened by standard questionnaires, and inter-sectoral cooperation between health centers and psychological counseling services, and then if necessary, referral to more specialized levels would be possible. Promoting women's psychosocial health is essential because women are more at risk than men due to biological reasons as well as economic, social, and cultural status and gender stereotypes [55].…”

Section: Discussionmentioning

confidence: 99%

A situation analysis on postmenopausal women’s self-care needs and priorities in Tehran: a population-based study

et al. 2023

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Background Women need special care during and after menopause. Due to the emphasis of the World Health Organization on promoting self-care in postmenopausal women, this study aims to analyze the situation and prioritize the self-care needs of postmenopausal women in the Tehran-Iran. Methods This was a descriptive-analytical study on 486 postmenopausal women aged 46–85 years living in Tehran in 2021. The Subjects were recruited using a multi-stage sampling method. Data were collected using a socio-demographic and a valid and reliable questionnaire to assess postmenopausal women’s self-care status with four domains including physical health, psychosocial health, reproductive-sexual health, and screening tests. The data were analyzed by SPSS-24. Results The mean age of the participants was 62.58 ± 7.75 years. The mean score of self-care was 44.63 ± 21.64% in the postmenopausal women. The lowest score and highest scores were related to psychosocial health (25.12 ± 28.21%) and periodic tests (50.62 ± 24.40%) respectively. There were significant positive correlations between self-care with women’s education level (r = 0.277; p < 0.001), husband’s education level (r = 0.258; p < 0.001), as well as monthly income (r = 0.153; p = 0.001). There was a negative correlation between self-care with the number of children (r = − 0.215; p < 0.001). The level of self-care was higher in employed women (p = 0.001) and also, in women whose husbands were employed (p = 0.012). Multiple linear regression test showed the level of education of the husband (B = 2.72, p = 0.038) and the family size (B = -1.54, p = 0.023) are predictors of the self-care of postmenopausal women. Conclusion The findings showed more than 55% of challenges in the self-care behaviors of postmenopausal women in Tehran. The most and least challenging self-care behaviors were related to psychosocial health and performing periodic tests. The priorities were in psychosocial health and reproductive-sexual health dimensions. Self-care promotion is necessary, especially in postmenopausal women, who need special care due to various physical, psychological, and social changes.

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“…ey carry the expectations of society and family and have a strong desire to become talented. However, because their psychology is undergoing a transition period from juvenile immaturity to adult maturity, their mind are still immature and their adaptability is poor [6,7]. During this period of time, various pressures are particularly easy to form psychological problems.…”

Section: Introductionmentioning

confidence: 99%

Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network

Wang

Liu

2021

Scientific Programming

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Aiming at the problems of low prediction accuracy and efficiency and poor prediction effect in the current psychological pressure prediction methods, a psychological pressure prediction method for college students based on deep neural network is proposed. The structure and algorithm of depth neural network and gray theory model are analyzed. Using the deep neural network, this paper establishes the sample set data of college students’ psychological pressure prediction and constructs the college students’ psychological pressure prediction model combined with the deep neural network algorithm of gray theory. The physical network information model is formed through the relationship between neurons. According to the dynamic changes of college students’ psychological pressure in each neuron of the physical network, the prediction of college students’ psychological pressure is completed. The experimental results show that the proposed method is effective in predicting college students’ psychological pressure and can effectively improve the accuracy and efficiency of college students’ psychological pressure prediction.

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Adolescent’s psychological health in Iran

Cited by 7 publications

References 15 publications

Dynamic Early-Warning Model of College Students’ Psychological Crisis Based on Characteristic Attribute

Dynamic Early-Warning Model of College Students’ Psychological Crisis Based on Characteristic Attribute

A situation analysis on postmenopausal women’s self-care needs and priorities in Tehran: a population-based study

Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network

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