Functional Pathways of Social Support for Mental Health in Work and Family Domains Among Chinese Scientific and Technological Professionals

2014 ◽  
Vol 31 (4) ◽  
pp. 336-349 ◽  
Author(s):  
Yiqun Gan ◽  
Tingting Gan ◽  
Zhiyan Chen ◽  
Miao Miao ◽  
Kan Zhang
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Work And Family ◽  
Functional Pathways

scholarly journals Juggling or Struggling? Work and Family Interface and Its Buffers among Small Business Owners

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Hieu Nguyen ◽  
Sukanlaya Sawang
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Small Business ◽  
Family Conflict ◽  
Well Being ◽  
Business Owners ◽  
Work And Family ◽  
Small Business Owners ◽  
Work Family Conflict ◽  
Work Family

AbstractThis study responds to calls for theory and research on work–family aspects in entrepreneurship research. This study examines the role of work–family conflict, work–family enhancement and social support on small business owners’ (SBOs) well-being. Drawing from The Household Income and Labour Dynamics in Australia (HILDA) panel data, the sample is restricted to SBOs, married with children under the age of 14 during 2010–2011 (two waves), totaling 167 SBOs. Results revealed that work–family conflict has a negative direct effect on mental health, job, family and life satisfactions. Similarly, work–family enhancement was found to have a direct positive effect on job, family and life satisfaction but not mental health. A significant interaction term also suggested that work–family enhancement moderated the relationship between work–family conflict and SBOs’ job satisfaction. Finally social support was found to have positive main effect on both subjective and psychological well-being. The interventions to well-being of SBOs should aim to balance the work and family lives of SBOs as well as making sure they have adequate social support networks. For public policy makers, support programs should extend from traditional means to balancing work–family matters for this particular occupation. Aside from broadening existing knowledge on the effects of work–family conflict, enhancement and social support, this is one of the first studies to examine well-being as a measure of success for SBOs. Additionally, the use of cross-wave data in the present study helps us to reduce this problem and provide a much stronger causal relationship between the focal variables of interest.

Suicide Attempters, Suicide Ideators, and Non-Ideators

Crisis ◽  
2019 ◽  
Vol 40 (4) ◽  
pp. 294-297 ◽  
Author(s):  
Tobias Teismann ◽  
Laura Paashaus ◽  
Paula Siegmann ◽  
Peter Nyhuis ◽  
Marcus Wolter ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Protective Factors ◽  
Suicide Ideation ◽  
Suicide Attempts ◽  
Self Esteem ◽  
Positive Mental Health ◽  
Cross Sectional ◽  
Reasons For Living ◽  
Suicide Attempters

Abstract. Background: Suicide ideation is a prerequisite for suicide attempts. However, the majority of ideators will never act on their thoughts. It is therefore crucial to understand factors that differentiate those who consider suicide from those who make suicide attempts. Aim: Our aim was to investigate the role of protective factors in differentiating non-ideators, suicide ideators, and suicide attempters. Method: Inpatients without suicide ideation ( n = 32) were compared with inpatients with current suicide ideation ( n = 37) and with inpatients with current suicide ideation and a lifetime history of suicide attempts ( n = 26) regarding positive mental health, self-esteem, trust in higher guidance, social support, and reasons for living. Results: Non-ideators reported more positive mental health, social support, reasons for living, and self-esteem than suicide ideators and suicide attempters did. No group differences were found regarding trust in higher guidance. Suicide ideators and suicide attempters did not differ regarding any of the study variables. Limitations: Results stem from a cross-sectional study of suicide attempts; thus, neither directionality nor generalizability to fatal suicide attempts can be determined. Conclusion: Various protective factors are best characterized to distinguish ideators from nonsuicidal inpatients. However, the same variables seem to offer no information about the difference between ideators and attempters.

Mental Health of OEF and OIF Veterans: Influence of Coping Strategies, Social Support, and Resilience

2014 ◽  
Author(s):  
Carlie A. Phillips ◽  
Nicholas K. Lim ◽  
Brenda Nash ◽  
Christopher Kolb ◽  
Kathryn L. Pask
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Coping Strategies

Influence of social support on the relation between stigma and mental health in individuals with burn injuries.

2020 ◽  
Author(s):  
Annahir N. Cariello ◽  
Carmen M. Tyler ◽  
Paul B. Perrin ◽  
Brianna Jackson ◽  
Heather Librandi ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Burn Injuries

Social support and mental health status of internal migrants in Beijing

2020 ◽  
Vol 48 (4) ◽  
pp. 1-16
Author(s):  
Ying Zhou ◽  
Jianhua Wang
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Health Status ◽  
Marital Status ◽  
Rating Scale ◽  
Mental Health Disorder ◽  
Mental Health Status ◽  
Self Report ◽  
Monthly Income ◽  
Internal Migrants

We investigated the mental health status of 320 internal migrants in Beijing according to gender, age, marital status, and monthly income, and examined the relationship between their mental health status and social support mechanisms. Participants completed the self-report Symptom Checklist-90-R and Social Support Rating Scale. Results showed that their mental health was significantly worse than the Chinese adult norm as assessed in 2017. Participants' social support varied according to age, marital status, and monthly income. Female participants younger than 30 years old with a monthly income lower than 3,000 yuan comprised the group with the most mental health disorder symptoms. They thus required greater personal attention to their health. The results suggested that social support can predict mental health among internal migrants. Directions for further research are discussed.

scholarly journals Sociodemographic and Psychological Risk Factors for Anxiety and Depression: Findings from the Covid-19 Health and Adherence Research in Scotland on Mental Health (CHARIS-MH) Cross-sectional Survey

2021 ◽  
Author(s):  
Gill Hubbard ◽  
Chantal den Daas ◽  
Marie Johnston ◽  
Diane Dixon
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Social Support ◽  
Illness Representations ◽  
Gender Effects ◽  
Anxiety And Depression ◽  
Perceived Threat ◽  
Cross Sectional ◽  
Psychological Risk Factors ◽  
Psychological Risk

Abstract Background Investigations about mental health report prevalence rates with fewer studies investigating psychological and social factors influencing mental health during the Covid-19 pandemic. Study aims: (1) identify sociodemographic groups of the adult population at risk of anxiety and depression and (2) determine if the following social and psychological risk factors for poor mental health moderated these direct sociodemographic effects: loneliness, social support, threat perception, illness representations. Methods Cross-sectional nationally representative telephone survey in Scotland in June 2020. If available, validated instruments were used, for example, Patient Health Questionnaire (PHQ-4) to measure anxiety and depression. Simple linear regressions followed by examination of moderation effect. Results A total of 1006 participants; median age 53 years, 61.4% female, from all levels of area deprivation (i.e., 3.8% in the most deprived decile and 15.6% in the most affluent decile). Analyses show associations of anxiety and depression with sociodemographic (age, gender, deprivation), social (social support, loneliness) and psychological factors (perceived threat and illness representations). Mental health was poorer in younger adults, women and people living in the most deprived areas. Age effects were exacerbated by loneliness and illness representations, gender effects by loneliness and illness representations and deprivation effects by loneliness, social support, illness representations and perceived threat. In each case, the moderating variables amplified the detrimental effects of the sociodemographic factors. Conclusions These findings confirm the results of pre-Covid-19 pandemic studies about associations between sociodemographics and mental health. Loneliness, lack of social support and thoughts about Covid-19 exacerbated these effects and offer pointers for pre-emptive action.

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