Relationship Change, Network Change, and the Use of Single Name Generators in Longitudinal Research on Social Support

Marin, Alexandra; Dubash, Soli

doi:10.1177/1525822x20958851

Cited by 11 publications

(3 citation statements)

References 21 publications

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“…Second, UCNets is clearly an advance over single name generator research for the study of network change (e.g. Fischer & Offer, 2020;Marin & Dubash, 2020;Marin & Hampton, 2007), but data limitations precluded a detailed analysis of how changing network density (i.e., whether network members know one another) (Bot et al, 2016;Legh-Jones & Moore, 2012), social integration (Larsen et al, 2014;Lightner et al, 2018), or having exercise partners in one's personal network (Saito et al, 2021;Sørensen & Gill, 2008) may influence PA. The survey instrument did ask whom participants exercised with at the first survey cycle, but the lack of repeated longitudinal measures made this item unfeasible for panel analysis.…”

Section: Discussionmentioning

confidence: 99%

Social Network Negativity and Physical Activity: New Longitudinal Evidence for Young and Older Adults 2015-2018

Dubash¹,

Schafer²

2023

Preprint

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Purpose: Physical activity (PA) has considerable public health benefits. Positive aspects of the interpersonal environment are known to affect PA, yet few studies have investigated whether negative dimensions also influence PA. This study examines the link between changing social network negativity and PA, net of stable confounding characteristics of persons and their environments.Method: Polling respondents in the San Francisco Bay Area over three waves (2015-2018), the UCNets project provides a panel study of social networks and health for two cohorts of adults. Respondents were recruited through stratified random address sampling, and supplemental sampling was conducted through Facebook advertising and referral. With weights, the sample is approximately representative of Californians aged 21-30 and 50-70. Personal social networks were measured using multiple name-generating questions. Fixed effects ordered logistic regression models provide parameter estimates. Results: Younger adults experience significant decreases in PA when network negativity increases, while changes in other network characteristics (e.g., support, size) did not significantly predict changes in PA. No corresponding association was found for older adults. Results are net of baseline covariate levels, stable social and individual differences, and select time-varying characteristics of persons and their environments.Conclusion: Leveraging longitudinal data from two cohorts of adults, this study extends understanding on interpersonal environments and PA by considering the social costs embedded in social networks. This is the first study to investigate how changes in network negativity pattern PA change. Interventions which help young adults resolve or manage interpersonal conflicts may have the benefit of helping to promote healthy lifestyle choices.

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Section: Discussionmentioning

confidence: 99%

Social Network Negativity and Physical Activity: New Longitudinal Evidence for Young and Older Adults 2015-2018

Dubash¹,

Schafer²

2023

Preprint

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“…First, multiple name generators tend to be more reliable than single name generators, which may artefactually drop alters over time (Marin and Dubash 2021), and are able to capture alters engaged in political discussions with egos, compared with name generators specifically designed to elicit political networks (Klofstad et al 2009). Second, questions asking why network alters were not renominated reduced dependent variable measurement error.…”

Section: Methodsmentioning

confidence: 99%

“Defriending” in a polarized age: Political and racial homophily and tie dissolution

Paik

Pachucki

2023

Social Networks

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“…We will employ a standard network generation process using a series of six name-generators and questions that aim to populate the network with individuals (20). The name generators for this study will focus on eliciting individuals in the participant's network who provide various forms of social support, social capital, and information using a combination of exchange, contact, and intimacy-based name generators (21,22). We will use a time recall of one year to increase respondents' ability to recall alters (23).…”

Section: Egocentric Social Network Measuresmentioning

confidence: 99%

Resilience Promoting Social Networks Among Unpaid Dementia Caregivers: An Exploratory Project Protocol

Peckham,

Guest,

Pituch

et al. 2024

Preprint

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Background Unpaid caregivers of people living with dementia often experience lower levels of perceived life satisfaction and higher rates of depression and anxiety compared to those caring for individuals without Alzheimer’s Disease or Related Dementias. While research on unpaid caregiver well-being and satisfaction has primarily focused on the characteristics of people living with dementia and their dyadic relationships, it has not adequately explored the role of social networks in supporting unpaid caregiver well-being. In this study, we aim to fill this gap by taking an egocentric social network approach to understand the multiple dimensions of social relations among unpaid caregivers of people living with Alzheimer's Disease or Related Dementia. Methods We will conduct a mixed-methods, two-year exploratory study that involves a structured survey-based telephone interview in year one and semi-structured interviews in year 2 with caregivers of persons living with dementia (PLWD) recruited through community and healthcare partners. Participants will participate in one 60-minute interview in year 1 (n = 100) and a 45 to 60-minute semi-structured interview in year 2 (n = 75). Eligibility for caregivers includes being an unpaid caregiver, aged 40 years or older, residing and providing care in Arizona or Nevada. The survey consists of questions about caregiver and care recipient demographics, caregiver background, caregiver stress, resilience, well-being, and egocentric social network data. Network composition attributes, such as tie strength, the function of the relationship, and reliance on network members, will also be assessed. In year 2, qualitative semi-structured interviews will supplement these quantitative measures to understand network selection, perceived network changes over time, and network strength. Discussion This study aims to identify new insights into the attributes of unpaid caregivers caring for someone living with dementia and to understand which social network compositions are most effective in supporting caregiver well-being and resilience. Our findings will offer valuable insights into the types and qualities of support networks that can promote resilience and well-being among unpaid caregivers of persons living with dementia. The findings will be beneficial to understand how different roles, such as age, relationship type, and quality, shape experiences and outcomes associated with caregiving. Understanding which network attributes contribute to caregiver resilience and well-being will support the development of interventions promoting effective support networks for unpaid caregivers of people living with dementia.

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Relationship Change, Network Change, and the Use of Single Name Generators in Longitudinal Research on Social Support

Cited by 11 publications

References 21 publications

Social Network Negativity and Physical Activity: New Longitudinal Evidence for Young and Older Adults 2015-2018

Social Network Negativity and Physical Activity: New Longitudinal Evidence for Young and Older Adults 2015-2018

“Defriending” in a polarized age: Political and racial homophily and tie dissolution

Resilience Promoting Social Networks Among Unpaid Dementia Caregivers: An Exploratory Project Protocol

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