Social Networks and Internet Emotional Relationships on Mental Health and Quality of Life in Students: Structural Equation Modelling

2021 ◽  
Author(s):  
Fatemeh Aliverdi ◽  
zohreh mahmoodi ◽  
Zahra Mehdizadeh Tourzani ◽  
Leili Salehi ◽  
Mostafa Qorbani ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Social Networks ◽  
Socioeconomic Status ◽  
Mental Disorders ◽  
Causal Relationship ◽  
Negative Relationship ◽  
Direct Path ◽  
Emotional Relationships

Abstract Background: Social networks and relationships create a sense of belonging and social identity and therefore have a major effect on mental health and quality of life, especially in young people. The present study was conducted to determine the predictor role of social networks and Internet emotional relationships on mental health and quality of life in students. Methods: The present cross-sectional study was conducted in 2021 on 350 students at Alborz University of Medical Sciences selected by convenience sampling. Data were collected using five questionnaires: Socioeconomic Status, Social Networks, Internet Emotional Relationships Mental Health, Quality of Life and a checklist of demographic details. Data were analyzed in SPSS-25, PLS-3, and Lisrel-8.8.Results: According to the path analysis results, mental health had the most significant positive causal relationship with Internet emotional relationships in the direct path (B=0.22) and the most negative relationship with socioeconomic status (B=-0.09). Mental health was assessed using DASS-21, in which higher scores mean higher mental disorders. Quality of life had the highest negative causal relationship with the DASS-21 score in the direct path (B=-0.26) and the highest positive relationship with socioeconomic status in the indirect path (B=0.023). The mean duration of using social networks (B=-0.067) and Internet emotional relationships (B=-0.089) had the highest negative relationship with quality of life.Conclusion: The use of the Internet and virtual networks, Internet emotional relationships and unfavourable socioeconomic status were associated with mental disorders and reduced quality of life in the students. Since students are the future of any country, it is necessary for policymakers to further address this group and their concerns.

scholarly journals The Effect of Social Networks and Internet Emotional Relationships on Mental Health and Quality of Life in Students: a Path Analysis Model

2021 ◽  
Author(s):  
Fatemeh Aliverdi ◽  
Zahra Mehdizadeh Tourzani ◽  
Leili Salehi ◽  
Mostafa Qorbani ◽  
Zohreh Mahmoodi
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Social Networks ◽  
Socioeconomic Status ◽  
Path Analysis ◽  
Causal Relationship ◽  
Negative Relationship ◽  
Direct Path ◽  
Emotional Relationships

Abstract Background: Social networks and relationships create a sense of belonging and social identity and therefore have a major effect on mental health and quality of life, especially in young people. The present study was conducted to determine the effect of social networks and Internet emotional relationships on mental health and quality of life in students. Materials and Methods: The present descriptive analytical study was conducted in 2021 on 350 students at Alborz University of Medical Sciences selected by convenience sampling. Data were collected using five questionnaires: Socioeconomic Status, Social Networks, Internet Emotional Relationships Mental Health, Quality of Life and a checklist of demographic details. Data were analyzed in SPSS-25, PLS-3, and Lisrel-8.8.Results: According to the path analysis results, mental health had the most significant positive causal relationship with Internet emotional relationships in the direct path (B=0.22) and the most negative relationship with socioeconomic status (B=-0.09). Mental health was assessed using DASS-21, in which higher scores mean higher mental disorder. Quality of life had the highest negative causal relationship with DASS-21 score in the direct path (B=-0.26) and the highest positive relationship with socioeconomic status in the indirect path (B=0.023). The mean duration of using social networks (B=-0.067) and Internet emotional relationships (B=-0.089) had the highest negative relationship with quality of life.Conclusion: The use of the internet and virtual networks, Internet emotional relationships and unfavorable socioeconomic status were associated with mental disorders and reduced quality of life in the students. Since students are the future of any country, it is necessary for policymakers to further address this group and their concerns.

scholarly journals Disparities in Mental Health Quality of Life Between Hispanic and Non-Hispanic White LGB Midlife and Older Adults and the Influence of Lifetime Discrimination, Social Connectedness, Socioeconomic Status, and Perceived Stress

2016 ◽  
Vol 39 (9) ◽  
pp. 991-1012 ◽  
Author(s):  
Hyun-Jun Kim ◽  
Karen I. Fredriksen-Goldsen
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Older Adults ◽  
Socioeconomic Status ◽  
Perceived Stress ◽  
Social Connectedness ◽  
Health Quality ◽  
Health Quality Of Life ◽  
Hispanic White

We assessed factors contributing to ethnic and racial disparities in mental health quality of life (MHQOL) among lesbian, gay, and bisexual (LGB) midlife and older adults. We utilized cross-sectional survey data from a sample of non-Hispanic White and Hispanic LGB adults aged 50 and older. Structural equation modeling was used to test the indirect effect of ethnicity/race on MHQOL via explanatory factors including social connectedness, lifetime discrimination, socioeconomic status (SES), and perceived stress. Hispanics reported significantly lower levels of MHQOL, compared to non-Hispanic Whites. In the final model, the association between ethnicity/race and MHQOL was explained by higher levels of perceived stress related to lower SES, higher frequency of lifetime discrimination, and lack of social connectedness among Hispanic LGB adults. This study suggests that perceived stress related to social disadvantage and marginalization plays an important role in MHQOL disparities among Hispanic LGB midlife and older adults.

scholarly journals Net worth and Mental Health Problems

2021 ◽  
Vol 2 (3) ◽  
pp. 095-096
Author(s):  
Jaewon Lee ◽  
Jennifer Allen
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Socioeconomic Status ◽  
Mental Health Problems ◽  
Health Problems ◽  
Net Worth ◽  
Over Time

Assets and debts and other accumulated wealth should be considered to understand one’s mental health because they influence quality of life over time. Researchers acknowledge limitations of previous studies regarding mental health, which did not consider net worth [1]. Previous studies have mainly addressed Socioeconomic Status (SES) as an indicator influencing mental health [2,3], rather than considering net worth. As a result, the importance of net worth (Wealth and debt) has been growing, and these factors should be included to deeply understand mental health [1].

scholarly journals Prevalence of Mental Disorders and Impact on Quality of Life in Patients With Pulmonary Arterial Hypertension

2021 ◽  
Vol 12 ◽  
Author(s):  
Karen M. Olsson ◽  
Tanja Meltendorf ◽  
Jan Fuge ◽  
Jan C. Kamp ◽  
Da-Hee Park ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Mental Disorders ◽  
Panic Disorder ◽  
Depression Scale ◽  
Adjustment Disorder ◽  
Anxiety And Depression ◽  
Hospital Anxiety ◽  
Pulmonary Arterial

Objective: Mental health may affect the quality of life (QoL) in patients with pulmonary arterial hypertension (PAH). However, mental disorders have not been systematically assessed in these patients. We examined the prevalence of mental disorders using structured interviews and determined their impact on QoL in patients with PAH.Methods: This study included 217 patients with PAH from two German referral centers. Psychiatric disorders were assessed using the structured clinical interview for DSM-V. QoL was assessed using the WHO Quality of Life questionnaire (short form). The diagnostic value of the Hospital Anxiety and Depression Scale was evaluated by receiver operating characteristic curve analysis.Results: More than one third of the patients had psychological disorders with current or past adjustment disorder (38.2%), current major depressive disorder (23.0%), and panic disorder (15.2%) being the most prevalent mental illnesses. About half of the patients with a history of adjustment disorder developed at least one other mental illness. The presence of mental disorders had a profound impact on QoL. The Hospital Anxiety and Depression Scale ruled out panic disorder and depression disorder with negative predictive values of almost 90%.Conclusion: Mental disorders, in particular adjustment disorder, major depression, and panic disorder, are common in patients with PAH and contribute to impaired QoL in these patients. The Hospital Anxiety and Depression Scale may be used as a screening tool for the most common mental health disorders. Future studies need to address interventional strategies targeting mental disorders in patients with PAH.

QOL in primary care of elderly mentally ill and their caregivers’ well-being

2011 ◽  
Vol 26 (S2) ◽  
pp. 859-859
Author(s):  
N. Tataru ◽  
A. Dicker
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Primary Care ◽  
Mental Disorders ◽  
Mental Health Problems ◽  
Well Being ◽  
The Elderly ◽  
Care Staff ◽  
Care Of Elderly

It is difficult to talk about quality of life of elderly with mental disorders. Thus, there appeared serious ethical challenges for psychiatry: to cut mental health costs and to provide care to as many as possible through all duration of their diseases, from the onset to the end-of-life. The psychiatrists have to face these challenges and treat the elderly with or without mental disorders from primary care to residential one, assuring them the best quality of life as it is possible. The goal of medical policy is to optimize the patients’ and their caregivers’ well-being. Multiple loses in old age are important in decreasing of quality of life and increasing of mental health problems in the elderly. They have more social and medical problems, which include depression and suicide. Caring for a family member with dementia can be both challenging and stressful. Primary care-staff need to develop the skills to detect and manage signs of caregivers stress. Health care professionals can promote well-being of the caregivers not only the patients’ well-being, educate them how to access help and manage their stress effectively. Recognition of the importance of the role of caregivers and finding the effective ways of supporting them, respecting their personal perception of the quality of this offer, improve the quality of primary care of elderly patients with mental disorders and also improve the quality of life of their relative or caregivers.

scholarly journals Are newly added and lost confidants in later life related to subsequent mental health?

2017 ◽  
Vol 29 (12) ◽  
pp. 2047-2057 ◽  
Author(s):  
Ella Schwartz ◽  
Howard Litwin
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Social Networks ◽  
Depressive Symptoms ◽  
Later Life ◽  
Emotional Closeness ◽  
Contact Frequency ◽  
The Relationship ◽  
Over Time

ABSTRACTBackground:This study examined internal changes in the personal social networks of older people and the relationship between these changes and mental health over time. It focused on two key aspects: emotional closeness and contact frequency with lost and newly added confidants.Methods:The study was based on data from the fourth (2011) and sixth (2015) waves of the Survey of Health, Ageing and Retirement in Europe (SHARE). The study sample consisted of respondents aged 65 years and older who participated in both waves (n = 14,101). We performed OLS regressions in which the scores on two mental health indicators over time – depressive symptoms (Euro-D) and perceived quality of life (CASP-12) – were regressed on the relationship with lost and newly added confidants, controlling for baseline social networks, socio-demographic, and health variables.Results:The nature of the relationship with the lost and newly added confidants was associated with mental health, beyond the number of these confidants. Emotional closeness with newly added confidants was related to improved mental health in both indicators (B = −0.09, CI = −0.14 to −0.04 for depression; B =1.13, CI = 0.67–1.60 for quality of life). Losing frequently contacted confidants was associated with higher depressive symptoms (B = 0.09, CI = 0.02–0.15).Conclusions:The results show the positive mental health implications of adding emotionally close confidants to older adults’ social milieus, and the negative effects of losing frequently contacted confidants. Practitioners are advised to pay attention to the quality of such changing relationships, due to their mental health consequences.

scholarly journals Role of Social Support and Ego Network Characteristics on Quality of Life

2021 ◽  
Vol 20 (3) ◽  
pp. 637-654
Author(s):  
David C. Kondrat ◽  
W. Patrick Sullivan ◽  
Kelli E. Canada ◽  
Jeremiah W. Jaggers
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Social Support ◽  
Social Networks ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Mental Health Court ◽  
Mental Health Courts ◽  
Network Characteristics

Mental health courts offer alternatives to incarceration for persons with severe mental illness who are involved in the criminal justice system. These courts have the dual function of ensuring treatment for persons involved in the court as well as ensuring the safety of the public. Persons with severe mental illness who are involved in mental health courts rely on others for support, such as family members. Others may buttress the participant from engaging in criminal activities and provide for needs of the participant. The supportiveness as well as the composition of one’s network members may play a role in the success of mental health court participants, such as successfully completing the mental health court program and avoiding incarceration. Little research has explored how social support impacts mental health court participants. We explored how the composition and sense of support of network members were associated with mental health court participants’ quality of life. We regressed quality of life on social support and network characteristics of 80 participants in two mental health courts. Findings suggest that perceived support is positively associated with quality of life, and the proportion of family in one’s network was negatively related to quality of life. Findings suggest that persons involved in mental health courts need supportive others in their social networks in addition to family. More research is needed to explore the reasons having a higher proportion of family members in one’s network is associated with lower quality of life. Practitioners need to pay attention to and leverage mental health court participants’ social networks to help improve their quality of life.

scholarly journals Mental Health Issues Someone Who Has Divorce

2020 ◽  
Author(s):  
Andria Pragholapati
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Mental Disorders ◽  
Well Being ◽  
Health Issues ◽  
Mental Health Issues ◽  
The Law ◽  
The Republic

Mental health is a state of well-being associated with happiness, joy, satisfaction, achievement,optimism, or hope. While mental disorders are behavioral or psychological patterns that areshown by individuals that cause distress, dysfunction, and reduce the quality of life (Stuart,2013). Based on the Law of the Republic of Indonesia Number 18 Year 2014, mental health is acondition where an individual can develop physically, mentally, spiritually, and socially so thatthe individual is aware of his own abilities, can deal with stress, can work productively, and isable to contribute to the community.

Rural Versus Non-Rural Residence and Psychosocial Outcomes Among Caregivers of Patients with Dementia and Related Disorders

2021 ◽  
pp. 1-7
Author(s):  
Lilah M. Besser ◽  
James E. Galvin
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Social Networks ◽  
Self Efficacy ◽  
Psychosocial Outcomes ◽  
Rural Residence ◽  
Dementia Caregivers ◽  
Rural Caregivers ◽  
Network Quality

We used data on 718 dementia caregivers and multivariable linear regression to test associations between residential locale and psychosocial outcomes (grief, wellbeing, burden, quality of life [QOL], self-efficacy/mastery, and social networks). Rural residence (versus urban or suburban) was not associated with the psychosocial outcomes. However, for rural caregivers, greater self-efficacy/mastery was associated with lower grief (versus urban/suburban) and burden (versus suburban), and greater social network quality was associated with lower burden (versus suburban) and higher QOL (versus urban). Interventions targeting self-efficacy/mastery and social networks may be particularly effective at improving rural caregivers’ mental health and QOL.

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