جستجوی مقالات مرتبط با کلیدواژه « social support » در نشریات گروه « پزشکی »

 Numerous epidemiological studies have explored the relationship between social support and suicidal behaviors; however, the overall impact remains unclear. Therefore, a systematic assessment of the association between social support and suicide is necessary.

Study Design: 

This is a systematic review study.

 We conducted a comprehensive search of PubMed, Web of Science, and Scopus databases until March 2023 and screened reference lists for relevant studies. Epidemiological studies that investigated the associations between social support and suicidal behaviors were included. Furthermore, between-study heterogeneity was investigated using I2 statistics. In addition, the likelihood of publication bias was evaluated using the Begg and Egger tests, and a trim-and-fill analysis was conducted. The overall effect size was calculated as an odds ratio (OR) with 95% confidence intervals (CIs) using a random-effects model.

 Out of the 21004 identified studies, 118 studies (involving 692266 participants) met the eligibility criteria. The analysis of data revealed a significant inverse association between social support and suicidal ideation (OR: 0.79, 95% CI: 0.76-0.82), suicide plans (OR: 0.86, 95% CI: 0.79-0.95), suicide attempts (OR: 0.96, 95% CI: 0.94-0.98), and suicide death (OR: 0.85, 95% CI: 0.75-0.96). Moreover, significant heterogeneity was observed across studies, but there was little concern regarding the presence of publication bias.

 Our meta-analysis provides clear evidence for a significant inverse association between social support and suicidal behaviors. However, the observational nature of the included studies and the significant heterogeneity observed across studies highlight the need for further research, including prospective studies and intervention trials, to explore the complex relationship between social support and suicidal behaviors.

Social support is a crucial factor in how well older adults adjust to the aging process and related challenges, such as anxiety about death. Body image in older adults is a complex and important concept, yet it has been under-researched. This study examined the correlations between social support, death anxiety, and body image in older adults residing in Yazd City, Iran.

This cross-sectional study involved older adults from Yazd City, Iran, who visited comprehensive urban health centers in 2022. A convenience sample of 200 participants was selected. They completed questionnaires on demographics, social support perception, body image concerns, and death anxiety.

The total social support score (p < 0.01) as well as the score of family support (p < 0.05) and others' support (p < 0.01) showed a significant negative correlation with death anxiety. However, no significant association was found between death anxiety and body image, nor between social support and body image. Regression analysis revealed that only "support from others" was a significant predictor of death anxiety (p < 0.01). Men reported receiving more friends' social support than women (p < 0.05). Participants with higher socioeconomic status were more likely to receive greater family’s social support (p < 0.01) and experience less death anxiety (p < 0.05).

Social support positively impacts the mental well-being and morale of older adults. It can, therefore, be considered a readily available resource and a form of social capital to reduce death anxiety, enhance their sense of purpose, and improve their quality of life.

Psychological well-being is an important factor affecting career women’s job satisfaction and performance. Resilience predicts psychological well-being, acting as a catalyst for boosting psychological well-being. This systematic literature review explored the relationship between resilience and psychological well-being among career women.

Relevant papers were retrieved using Scopus, ScienceDirect, and PubMed. The inclusion criteria included research published between the years 2012 and 2021 to examine whether there is a relationship between resilience and psychological well-being, as well as the predictors of resilience and psychological well-being.

There was a favorable relationship between resilience and psychological well-being, with those having higher levels of resilience reporting greater psychological well-being. Resilience is believed to be one of the most essential variables in maintaining positive psychological well-being. Additionally, social and family support, work experience, marital status, education level, and self-esteem were found to predict resilience and psychological well-being.

Age, life experience, work experience, marital status, level of education, and self-efficacy are key predictors of resilience.

Post-traumatic stress disorder (PTSD) is a well-known psychiatric disorder that can occur after a major traumatic event and adversely impact the individual’s mental health. PTSD is a multifaceted mental health problem that requires long periods of treatment and expensive treatment protocols. Despite significant advances in treatment, there is little evidence of the economic burden and social support associated with PTSD. Hence, this study examines empirical research on the economic burden and social support associated with patients with PTSD.

In this study, we used the preferred reporting items for systematic reviews and meta-analyses guided scoping review protocol to assess the research on the economic burdens and social support associated with PTSD patients. Accordingly, we selected 14 primary research studies examining the economic burden and 17 primary studies examining social support for PTSD patients. 

PTSD patients incur a high economic burden worldwide with huge direct cost variability. Meanwhile, social support is an impactful approach to curbing the impacts of PTSD on patients. This study demonstrated the substantial role of social support in reducing PTSD symptoms and as a significant moderator in the treatment of PTSD patients.

PTSD is a mental health problem associated with a highly variable economic burden on patients and healthcare systems across the globe. In addition, social support facilitates the speedy recovery of PTSD patients. Because of the high economic burden associated with PTSD, the World Health Organization (WHO) should formulate a policy that improves resource allocation specifically for vulnerable individuals with PTSD.

During the COVID-19 epidemic, the mental status of nurses and other healthcare workers was strongly influenced by environmental conditions. 

This study aimed to determine the association between social support and resilience with the mediating role of self-efficacy in nurses working in public hospitals.

In this cross-sectional study, 220 nurses working in the educational and medical centers of Rasht City, Iran, in 2021 were recruited by simple random sampling. The general self-efficacy scale, multidimensional scale of perceived social support questionnaire, and Connor and Davidson resilience scale were used to collect data. The Pearson correlation coefficient test was used to investigate the linear relationship of the variables. To evaluate the fit of the proposed model, the chi-square test, degrees of freedom, goodness of fit index, Tucker-Lewis index, comparative fit index, and root mean square error of approximation were calculated. Bootstrap test was used to investigate the role of self-efficacy in the middle of social support and resilience and to assess the direct effects of variables.  

The results showed that 201 women (91.4%) and 19 men (8.6%), with a mean age of 36±8.43 years, participated in this study. Moreover, 25.5% and 74.5% of participants worked in COVID-19 or non-COVID-19 wards, respectively. Data analysis using the Bootstrap test showed that self-efficacy mediated between social support and resilience (P=0.001). Also, the study findings have shown that the direct effects of social support on resilience are significant, with a path coefficient of 0.203 (P=0.004), so when social support increases, resilience increases, too. Also, in this research, the direct path of self-efficacy on resilience was significant with a path coefficient of 0.595 (P=0.001), so when self-efficacy increases, resilience increases, too.

Findings of this study have shown that nurses’ self-efficacy serves as a mediator in the relationship between social support and productivity. Empirical evidence suggests that individuals who receive greater social support exhibit heightened levels of self-efficacy.

Students with learning disabilities face difficulties in social, emotional, and academic aspects. The main objective of this study is to examine how social support plays a role in the connection between psychological capital and mental well-being in these students.

The research used both correlational and cross-sectional methods in addition to structural equation modeling (SEM). The statistical population for the study comprised all students with learning disabilities residing in Tehran from July to November 2023. A sample of 250 adolescent students with a history of learning disabilities was selected using a multi-stage cluster and targeted sampling method. The research utilized measurement tools such as the Multidimensional Scale of Perceived Social Support (MSPSS), Subjective Well-being Scales (SWS), and Luthans Psychological Capital Questionnaires (PCQ). Descriptive statistics were conducted using SPSS version 27 software, while path coefficients between variables were analyzed using SmartPLS version 4 software. The significance of the mediator variable was assessed using Sobel's test.

The present study found that Self-Efficacy positively influenced Mental well-being through the Social Support variable, with a significant effect (β=0.241, P=0.000). Hope had a beneficial effect on mental wellness through social support, with a substantial positive impact (β=0.091, P=0.017). "Nonetheless, there was no notable impact of Optimism on mental health when considering the Social support factor (β=-0.014, P=0.750)."

The results of this study show that hope and self-efficacy, two psychological assets, improve both mental well-being and social support. However, optimism only boosts well-being, while resilience only improves social support.

Social support has been considered one of the factors that facilitate health behaviors, and there is some evidence related to the subordination of the treatment of hemophilia patients according to various factors. Therefore, the present study was conducted with the aim of determining the measure of social support and its relevance to the clinical and demographic characteristics of patients going to the hemophilia center.

This cross-sectional study was conducted at Sanandaj Hemophilia Center in Sanandaj, Kurdistan, Iran, in 1402. A total of 120 patients were voluntarily selected as samples based on inclusion criteria. The data collection tool included the registration form of demographic and clinical characteristics and the Social Support Questionnaire of Vaux et al. To analyze the data of the study, independent t-student statistical tests and unilateral analysis of variance in STATA software version 12 were used.

In this study, the dimensions of social support were examined: Family support, support from others, and support from friends. Family support, with an average of 4.36 out of 5, was considered the highest value, compared to other dimensions.

Based on the results of this study, the average social support of hemophilia patients was appropriate. In the case of increasing the social support of hemophilia patients through creating job opportunities, increasing income, access to urban treatment facilities and services, material and moral coverage of organizations, and social support, the improvement of the health level of hemophilia patients can be expected.

Elderly people usually feel lonely that can have adverse health effects. The purpose of current paper is to determine the loneliness score in the elderly population of the Ardakan Cohort and the factors affecting it.

This is a cross sectional study using data from the Ardakan Cohort Study on Ageing (ACSA). Loneliness was measured using a 6-item De Jong Gierveld short scales. The 11-item Duke Social Support Index (DSSI) was used to measures social support of aging. living arrangement, demographic factors and self-rated health was also collected using a checklist. Linear regression was used to examine the relationship between loneliness and predictor factors. The data was analyzed with Stata software version 17 and a p-value of 0.05 was considered as a significant level.

Among the 5,188 participants, 48.13% were male and most of the participants were over 60 years old. Total score of loneliness was 3.27±1.45(95% CI: 3.24 to 3.31). Among covariates, age (p value=0.000), sex (p value=0.000), marital status (p value=0.046), education (p value=0.001) and economic status (p value=0.001) have significant association with loneliness score. People with good self-rated health had a lower loneliness score (p value<0.001). The score of social support has an inverse association with the score of loneliness (p value<0.001). Adults who lived with others had a higher loneliness score (p value<0.001).

According to the results, elderly people who have more social support and have better self-rated health feel less lonely.

With the growing elderly population, addressing the personal and social aspects of menopausal women is vital. Paying attention to their quality of life and solving their physical, mental and social problems can be effective in improving the health of the family and ultimately the society. This study aimed to determine the relationship between social support and quality of life in postmenopausal women.

The present study was a cross-sectional study that was conducted on 158 women. Sampling was stratified with proportional allocation method between February 2019 and August 2019 in Mahshahr health centers. The data collection tools were the demographic profile questionnaire, the Menopause Quality of Life (MENQOL) and the Phillips Social Support Questionnaire. The data were analyzed using SPSS statistical software (version 24). Pearson's, ANOVA, linear regression tests were used to analyse data.

 The average score of social support and quality of life was 84.13±10.99 (range 34-112) and 58.30±30.69 (range 110-49), respectively. There was a significant correlation between the quality of life and social support (P=0.0001). In terms of quality of life dimensions, a significant relationship was observed between social support with psychosocial (P=0.001) and physical dimension (P=0.003).

According to the significant relationship between social support and quality of life, it seems that providing social support by the family and surrounding people can be effective in improving the quality of life of postmenopausal women.

Well-being is related to various social, psychological, and physical factors. This study investigated these factors and their relationship with the well-being of the elderly.

This cross-sectional study was conducted based on the data of Ardakan Cohort Study on Aging (ACSA) in 2020, including 5190 people aged 50 and above. The World Health Organization (WHO)-5 questionnaire was used to measure wellbeing. Using a logistic regression model and adjusting the variables, the relationship between well-being and related factors was measured.

Among the participants, 2586 people (49.8%) were women. Well-being was good in 3014 people (58.2%). According to the findings, the poor well-being of the elderly has an inverse and significant relationship with medium to high economic status (OR = 0.63, P ˂ 0.001), physical activity (OR = 0.99, P ˂ 0.001), and social support (OR = 0.90, P ˂ 0.001). The elderly with high school education (OR = 1.43, P = 0.005) and extremely bad health status (OR = 1.32, P = 0.008) had poor well-being. Furthermore, the odds of depression (OR = 1.21, P = 0.035) and anxiety (OR = 1.05, P ˂ 0.001) were higher in the elderly who had poor well-being. The mental and physical quality of life were also higher in the group with good well-being (P < 0.05).

To promote the elderly’s well-being, they should be involved in regular physical activity, which should be planned to increase their quality of life (physical and mental) and improve their economic status as well as social support.

 Patients with Multiple Sclerosis (MS) often experience varying levels of social stigma, which can impact their health.

 This study aimed to explore the relationship between perceived stigma and coping strategies among MS patients.

 Conducted from December 2019 to June 2020, this cross-sectional and correlational study involved 100 MS patients. Participants were recruited from a neurologic clinic in Qazvin, Iran, using convenience sampling. Data collection employed the Lazarus Coping Strategies Questionnaire and the Korean version of the Stigma Scale for Chronic Illness 8-item (SSCI-8). Patients completed these questionnaires at the clinic. Data analysis utilized Pearson’s and Spearman’s correlation coefficients.

 The average age of participants was 35.93 ± 7.20 years. Mean scores for internal and external stigmas were 6.47 ± 2.03 and 8.73 ± 3.48, respectively. Problem-focused strategies were most commonly used by MS patients. Pearson correlations revealed a significant positive relationship between internal stigma and escape-avoidance (r = 0.391, P < 0.000), seeking social support (r = 0.215, P = 0.031), confronting (r = 0.240, P = 0.016), and self-controlling strategies (r = 0.222, P = 0.026). Significant associations were also noted between external stigma and escape avoidance (r = 0.322, P = 0.001) and confronting strategies (r = 0.240, P = 0.016). Inverse correlations were found between educational level and internal stigma (r = -0.273, P = 0.006) and between MS duration and external stigma (r = -0.296, P = 0.003).

 Multiple sclerosis (MS) patients experiencing higher levels of stigma tended to use more negative coping strategies. Implementing programs to reduce stigma and promote effective coping strategies may enhance the physical and psychological well-being of these patients.