Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling

Aliverdi, Fatemeh; Farajidana, Hoorvash; Tourzani, Zahra Mehdizadeh; Salehi, Leili; Qorbani, Mostafa; Mohamadi, Farima; Mahmoodi, Zohreh

doi:10.1186/s12888-022-04097-6

Cited by 8 publications

(11 citation statements)

References 31 publications

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“…Greater depression symptoms may be the result of heightened anxiety sensitivity, which is a dread of anxiety-related circumstances or anxiety's repercussions. Similar gender differences are expected to have their origins in infancy and persist through adolescence and adulthood (Aliverdi et al, 2022, Amamou et al, 2022 since other researchers have found that female college students had considerably higher depression than their male counterparts (Saleh et al, 2017). The depression levels were higher among students whose monthly income was less, even though it didn't show statistical significance.…”

Section: Resultsmentioning

confidence: 84%

Depression Among First Generation Medical Students and Non-First-Generation Medical Students in the West of Saudi Arabia

Mahfouz¹,

Abdulaziz²,

Alotaibi³

et al. 2022

World J Environ Biosci

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Depression is a major human blight. Globally, it is responsible for more disability than any other condition. Based on previous studies, medical students are at high risk for depression because of their stressful lifestyle. In the current study, we suspected a high prevalence of depression in FG medical students rather than their colleagues who are not FG. First-generation students are those whose parents did not attend college or obtained a college degree. Unfortunately, they struggle with difficulties in their academic life, such as financial wellness, psychological family stressors, and a lack of professional social networks. The mean well-being score was significantly higher among males (55.5 ± 21.6) compared to females (44.36 ± 23.14), p<0.001. The students from the Taif region showed significantly poor lower well-being scores (44.9 ± 21.95), whereas those from Makkah (54.53 ± 23.95) and Medina (54.08 ± 20.71) had higher scores (p<0.001). The well-being scores were significantly lower among those who visited a psychiatrist (42.79 ± 23.74) and those who were diagnosed with any psychiatric disorders (41.46 ± 22.22), p<0.001. Similarly, we observed that the students who had family members diagnosed with psychiatric disorders had significantly lower well-being scores (46.67 ± 23.88) compared to those who didn 't have (50.69 ± 22.73), p=0.026). In this study, there were no significant differences in well-being between FG and non-FG medical student mean while there were statistically significant differences between the other different characteristic students.

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Section: Resultsmentioning

confidence: 84%

Depression Among First Generation Medical Students and Non-First-Generation Medical Students in the West of Saudi Arabia

Mahfouz¹,

Abdulaziz²,

Alotaibi³

et al. 2022

World J Environ Biosci

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“…Conversely, healthy lifestyle factors can help maintain better HRQOL among adolescents. Third, appropriate Internet use is beneficial to facilitate technical skills, social connection, and communication in adolescents, thereby promoting their mental well-being and ultimately better HRQOL [ 53 , 54 ]. Therefore, the significant association between healthy lifestyle factors and better HRQOL was plausible.…”

Section: Discussionmentioning

confidence: 99%

Association between healthy lifestyle factors and health-related quality of life among Chinese adolescents: the moderating role of gender

Xiang,

Feng,

Lin

et al. 2023

Health Qual Life Outcomes

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Background To examine the associations of the independent and combined healthy lifestyle factors with health-related quality of life (HRQOL) in adolescents, and to test the moderating role of gender. Methods This cross-sectional study included 5125 adolescents aged between 11 and 20 years. They provided self-reported data on six healthy lifestyle factors, including never smoking, never drinking, good sleep quality, sufficient sleep duration, appropriate Internet use, and adequate physical activity. Adolescents’ HRQOL was evaluated using the Pediatric Quality of Life Inventory version 4.0. Linear regression models were conducted to explore the association of individual and combined healthy lifestyle factors with adolescents’ HRQOL. We further performed stratified analyses and likelihood ratio test to explore the moderating role of gender in these associations. Results Of the included adolescents, the proportions with 0–2, 3, 4, and 5–6 healthy lifestyle factors were 13.6%, 26.4%, 44.3%, and 15.7%, respectively. Compared to adolescents with composite healthy lifestyle scores of 0–2, those with scores of 3, 4, or 5–6 had significantly higher HRQOL scores across all dimensions, summary scales, and total scale in both unadjusted and adjusted models. Specifically, adolescents with 5–6 healthy lifestyle factors had a total scale score that was 19.03 (95%CI: 17.76 to 20.30) points higher than their counterparts who only had 0–2 healthy lifestyle factors. Significant dose-response patterns were also observed in aforementioned associations. Gender was a significant moderator in the associations between composite healthy lifestyle groups and HRQOL scores, except for the social functioning dimension. Conclusions Our results confirmed that combined healthy lifestyle factors were associated with improved HRQOL among adolescents, with a stronger association observed in girls. These findings underscore the necessity for education and healthcare authorities to design health-promoting strategies that encourage multiple healthy lifestyle factors in adolescents, with the objective of enhancing their overall health outcomes.

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“…In addition, several studies also say that someone who is already connected to other people via the internet such as Facebook is more likely to have better support and can play a role in preventing psychological problems including stress. Several studies also say that someone who tends to feel lonely in his life will affect his quality of life both mentally and physically [8].…”

Section: G R a P H I C A L Abstractmentioning

confidence: 99%

“…In addition, several studies suggest that students' problems with their social environment, emotional problems, as well as physical and family problems can negatively affect academic ability, which in the end can all lead to a decrease in the quality of life of students [8]. Problems in a person's socioeconomic factors also affect their quality of life [3].…”

Section: Problems Affecting Quality Of Lifementioning

confidence: 99%

“…Factors that affect a person's quality of life consist of several things including a feeling of belonging to the surrounding environment including family and friends and the work environment. Other factors include feelings of having a good social identity, having social relationships with family and the environment including things that can affect one's mental and psychological health, and of course, this will also affect one's quality of life for the better [6,8]. Meanwhile, other studies state that excessive use of the internet and virtual networks is closely related to stress, personality disorders, and sleep disorders and of course, this will disrupt quality of life [4].…”

Section: Introductionmentioning

confidence: 99%

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2024

J. Med. Chem. Sci.

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Background: It is widely known that COVID-19 has influenced many aspects of human life. Notwithstanding, the quality of life of the human population in South East Asia, especially in Indonesia, was not wellarticulated concerning the pandemic's impacts. This study aimed to investigate the quality of life of Indonesian inhabitants in the middle of the pandemic. Methods: A descriptive, bivariate, and multivariate analysis was employed within a cross-sectional study design. As many as 389 respondents were included in the analysis using WHOQOL-BREV. Purposive technical sampling and SPSS ver. 26 were employed for the statistical analysis. Results: The majority of the respondents had a good quality of life (QOL) in the physical health, psychological, social condition, or environmental aspects more than 93%, and only a small proportion of the respondents who experienced bad quality of life ranging from 0.3%-3.3%. It is found that the factors of gender and occupation were found to have a significant correlation with p < 0.05 with quality of life (psychological and social condition aspects). Conclusion:The factors of gender and employment have a significant influence on the quality of life in terms of the psychological and social relationships of the respondents.

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Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling

Cited by 8 publications

References 31 publications

Depression Among First Generation Medical Students and Non-First-Generation Medical Students in the West of Saudi Arabia

Depression Among First Generation Medical Students and Non-First-Generation Medical Students in the West of Saudi Arabia

Association between healthy lifestyle factors and health-related quality of life among Chinese adolescents: the moderating role of gender

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