scholarly journals The Role of Minority Stress and Social Resources in the Healthcare Utilization of Aging LGBT Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 174-175
Author(s):  
Krystal Kittle ◽  
Kathrin Boerner ◽  
Kyungmin Kim

Abstract Research suggests that minority stress can influence the healthcare utilization of aging LGBT adults, and that social resources can buffer the effect of stress on healthcare utilization. Using data from Aging with Pride: National Health, Aging, and Sexuality/Gender Study (N = 2,560), multiple logistic regression assessed the associations between minority stress (i.e., internalized stigma and LGBT identity disclosure) and healthcare utilization (i.e., health screenings, emergency room use, routine checkups, and regular provider). We also examined the moderating effect of social resources, including social network size, social support, and LGBT community belonging, in these associations. Internalized stigma was negatively associated with having a routine checkup in the previous year (OR = 0.82, p = .038). Disclosure was positively associated with having a health screening within the past 3 years (OR = 1.52, p = .000) and having a regular provider (OR = 1.33, p = .021). Further, we found that social support moderated the association between disclosure and health screenings (OR = 1.52, p < .001); thus, having higher levels of social support and disclosure in tandem increased the likelihood of getting a health screening in the last three years. Health and human service professionals should provide information about internalized stigma and LGBT identity disclosure to educate their clients about the ways in which these minority stressors can impact their healthcare experiences. Providers should assess the social support of their aging LGBT clients and inform them about the added benefit that social support can have in their healthcare experiences.

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 174-174
Author(s):  
Krystal Kittle ◽  
Kathrin Boerner ◽  
Kyungmin Kim

Abstract Research suggests that social resources positively influence the health and well-being of lesbian, gay, bisexual, and transgender (LGBT) aging adults, but their access to social resources may vary according to LGBT identity. Using data from Aging with Pride: National Health, Aging, and Sexuality/Gender Study (N=2,536), multivariate models tested how access to social resources varied by LGBT identity and whether the effect of LGBT identity showed additional variations by sociodemographic characteristics (i.e., age and education) among aging LGBT adults. Lesbian respondents had larger social networks than gay respondents, while gay respondents had smaller networks than transgender respondents. Lesbian respondents had more social support and community belonging than other identity groups. Bisexual male respondents and transgender respondents had less support than gay respondents and bisexual male respondents reported less community belonging than gay respondents. Education and age moderated the association between LGBT identity and social support. Findings highlight the importance of considering social support separately from social network size with the understanding that large social networks do not necessarily provide ample social support and this distinction was particularly relevant for transgender respondents who had larger social networks, but less social support than gay respondents. Results also suggest that feelings of LGBT community belonging vary among LGBT identity groups. Health and human service professionals should not only consider the sexual and gender identity of their aging LGBT clients, but also consider the clients’ additional sociodemographic characteristics when assessing their access to social resources.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S131-S131
Author(s):  
Kaleena Odd

Abstract Retirement is becoming more important for today’s older adults because they are living longer than before. Recently, research has started to explore how different individual resources (e.g., health or finances) and social resources (e.g., social support or social network size) influence retirement outcomes such as retirement satisfaction. Moreover, the current study sought to examine the influence of time, satisfaction with social support, and affect (i.e., positive or negative) as predictors of retirement satisfaction. Data was obtained from a longitudinal study that explored how older adults in Montreal, Canada adjusted to life in retirement over the course of three years. Hypotheses were tested using a structural equation model that investigated retirement satisfaction as predicted by time, satisfaction with social support, positive affect, and negative affect. Gender differences were also explored. Overall, there was no change over time among the variables. Satisfaction with social support, positive affect, and negative affect were all associated with retirement satisfaction in the expected directions. Positive affect moderated the association between satisfaction with social support and retirement satisfaction, such that the association was stronger for those low in positive affect. Also, negative affect moderated the association between satisfaction with social support and retirement satisfaction as a function of gender. This study extended the literature by exploring how multiple predictors interacted to influence retirement satisfaction over time. Future research should examine how individual and social resources can interact with each other to better understand retirement satisfaction.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Mako Nagayoshi ◽  
Susan A Everson-Rose ◽  
Hiroyasu Iso ◽  
Thomas H Mosley ◽  
Kathryn M Rose ◽  
...  

Background and Purpose: Having a small social network and lack of social support have been associated with incident coronary heart disease, but little is known about their association with incident stroke. Thus, we assessed the association of a small social network and lack of social support with risk of incident stroke and evaluated whether the relation was mediated by vital exhaustion and inflammation. Methods: The Atherosclerosis Risk in Communities (ARIC) Study measured social network and social support in 13,686 men and women (mean, 57 ± 5.7 years, 56% female, 24% black; 76% white) initially free of stroke. The 10-item Lubben Social Network Scale and 16-item Interpersonal Support Evaluation List-Short Form were used to assess social network size and social support, respectively. Results: Over a median follow-up of 18.6-years, 905 incident strokes occurred. Relative to participants with a large social network, those with a small social network had a higher risk of stroke [HR (95% CI): 1.43 (1.03-2.00)] after adjustment for demographic and socioeconomic characteristics and marital status ( Table ). Further adjustment for other potential confounders attenuated the association slightly. Vital exhaustion, but not inflammation, partly mediated the association between a small social network and stroke. Social support was unrelated to incident stroke. Conclusions: In this sample of US community-dwelling men and women, having a small social network was associated with excess risk of incident stroke. As with other cardiovascular conditions, having a small social network appears to be associated with modestly increased risk of incident stroke.


1986 ◽  
Vol 21 (1) ◽  
pp. 61-77 ◽  
Author(s):  
Mary J. Levitt ◽  
Toni C. Antonucci ◽  
M. Cherie Clark ◽  
James Rotton ◽  
Gordon E. Finley

The structure of social support and its relation to health, affect, and life satisfaction are compared for two samples of the elderly. The first is a national representative sample; the second is a distressed sample from South Miami Beach. Although there are similarities in the structure of social support across the two groups, those in the Miami Beach sample report fewer support figures, and far fewer within geographic proximity, than do those in the national sample. This comparative network impoverishment is particularly marked for male respondents and is accentuated by a high number of isolates in this group. In addition, stronger relationships are found between support network size and affect, and among affect, life satisfaction, and health in the South Miami Beach sample. Older men in poor health and without supportive relationships are targeted as a particularly high risk subgroup. The discussion includes a focus on personal, situational, and life span differences related to variations in support and well-being and a consideration of implications for more recent waves of elderly sun-belt migrants.


2019 ◽  
Vol 1 (3) ◽  
pp. 11
Author(s):  
Amany A. Mohamed

Context: Mentally ill patients challenging dual difficulties that are illness and stigma. Internalized stigma viewed as maladaptive psychosocial phenomena that can affect all aspects of mentally ill patient life. Aim: The current study emerged aiming to assess internalized stigma of mental illness and its relation with self-esteem and social support among psychiatric patients. Methods: Descriptive research design used to achieve the aim of this study. A convenience sample of one hundred hospitalized psychiatric patients recruited for the study from inpatient units of Mental Health and Addiction Treatment Hospital in Minia governorate. The data collection tools included socio-demographic and clinical data questionnaire, Internalized Stigma of Mental Illness Scale, Rosenberg's Self Esteem Scale, and Multidimensional Scale of Perceived Social Support. Results: The findings show that less than half of patients have a severe level of total internalized stigma score. There is a highly significant correlation between overall internalized stigma score and its all subscales with self-esteem and social support. Conclusions: Internalized stigma level was high among psychiatric patients. A significant negative correlation found between total internalized stigma score with self-esteem and social support of the studied patients. The study recommended further studies regarding educational interventions to raise awareness and decrease internalized stigma among patient with mental illness. Besides, providing support for patient and families of mentally ill patients to promote their capacity to manage and cope with stigma. 


2019 ◽  
Vol 18 (3) ◽  
pp. 138-143 ◽  
Author(s):  
Sunmoo Yoon ◽  
Robert Lucero ◽  
Mary S. Mittelman ◽  
José A. Luchsinger ◽  
Suzanne Bakken

Background/Objective: Hispanics are about 1.5 times as likely as non-Hispanic Whites to experience Alzheimer’s disease and related dementias (AD/ADRD). Eight percent of AD/ADRD caregivers are Hispanics. The purpose of this article is to provide a methodological case study of using data mining methods and the Twitter platform to inform online self-management and social support intervention design and evaluation for Hispanic AD/ADRD caregivers. It will enable other researchers to replicate the methods for their phenomena of interest. Method: We extracted an analytic corpus of 317,658 English and Spanish tweets, applied content mining (topic models) and network structure analysis (macro-, meso-, and micro-levels) methods, and created visualizations of results. Results: The topic models showed differences in content between English and Spanish tweet corpora and between years analyzed. Our methods detected significant structural changes between years including increases in network size and subgroups, decrease in proportion of isolates, and increase in proportion of triads of the balanced communication type. Discussion/Conclusion: Each analysis revealed key lessons that informed the design and/or evaluation of online self-management and social support interventions for Hispanic AD/ADRD caregivers. These lessons are relevant to others wishing to use Twitter to characterize a particular phenomenon or as an intervention platform.


2020 ◽  
Vol 11 (1) ◽  
pp. 18-24
Author(s):  
Morgan Prust ◽  
Abby Halm ◽  
Simona Nedelcu ◽  
Amber Nieves ◽  
Amar Dhand

Background and Purpose: Social networks influence human health and disease through direct biological and indirect psychosocial mechanisms. They have particular importance in neurologic disease because of support, information, and healthy behavior adoption that circulate in networks. Investigations into social networks as determinants of disease risk and health outcomes have historically relied on summary indices of social support, such as the Lubben Social Network Scale–Revised (LSNS-R) or the Stroke Social Network Scale (SSNS). We compared these 2 survey tools to personal network (PERSNET) mapping tool, a novel social network survey that facilitates detailed mapping of social network structure, extraction of quantitative network structural parameters, and characterization of the demographic and health parameters of each network member. Methods: In a cohort of inpatient and outpatient stroke survivors, we administered LSNS-R, SSNS, and PERSNET in a randomized order to each patient. We used logistic regression to generate correlation matrices between LSNS-R scores, SSNS scores, and PERSNET’s network structure (eg, size and density) and composition metrics (eg, percent kin in network). We also examined the relationship between LSNS-R-derived risk of social isolation with PERSNET-derived network size. Results: We analyzed survey responses for 67 participants and found a significant correlation between LSNS-R, SSNS, and PERSNET-derived indices of network structure. We found no correlation between LSNS-R, SSNS, and PERSNET-derived metrics of network composition. Personal network mapping tool structural and compositional variables were also internally correlated. Social isolation defined by LSNS-R corresponded to a network size of <5. Conclusions: Personal network mapping tool is a valid index of social network structure, with a significant correlation to validated indices of perceived social support. Personal network mapping tool also captures a novel range of health behavioral data that have not been well characterized by previous network surveys. Therefore, PERSNET offers a comprehensive social network assessment with visualization capabilities that quantifies the social environment in a valid and unique manner.


Author(s):  
Miranda J. Lubbers ◽  
Hugo Valenzuela García ◽  
Paula Escribano Castaño ◽  
José Luis Molina ◽  
Antònia Casellas ◽  
...  

Research on how the poor “make ends meet” typically shows that they are able to do so by relying on dense support networks of family and close friends. Recent research suggests, however, that these networks play a limited role. This article examines the role of informal networks in how sixty-one households in Barcelona, Spain, cope with poverty. We use a mixed-methods design that combines structured network delineation with semistructured interviews about the processes of support mobilization. Findings show a great variation in network size and resource capacity among households and in the kinds of ties that offer support. Social support was regarded as essential among members of poor households, but mobilized networks were often insufficient for covering even the most basic needs, and prolonged network mobilization could cause strain and long-term conflict. This analysis suggests that support networks may help people to cope with income volatility while simultaneously increasing the potential for social exclusion and isolation.


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