Ecological Momentary Assessments in Sociology.

The proliferation of smartphone technology has afforded exciting new methodological opportunities within the social sciences. Ecological momentary assessments (EMAs) leverage this recent technological advancement by tracking the behaviors and perceptions of study participants as they are experienced in real time via smartphone devices in natural environments. Despite their longstanding theoretical interest in how the social environment influences a variety of personal outcomes, sociologists have been slower than many related disciplines to embrace EMAs as a viable methodology. This article promotes the use of EMAs by providing an historical overview of the methodology, highlighting several recent developments within sociology, and exploring future directions while clearly explicating inherent limitations to the EMA approach.

Social enrichment on the job: Complex work with people improves episodic memory, promotes brain reserve, and reduces the risk of dementia.

Individuals with more complex jobs experience better cognitive function in old age and a lower risk of dementia, yet complexity has multiple dimensions. Drawing on the Social Networks in Alzheimer Disease study, we examine the association between occupational complexity and cognition in a sample of older adults (N = 355). A standard deviation (SD) increase in complex work with people is associated with a 9% to 12% reduction in the probability of mild cognitive impairment or dementia, a 0.14-0.19 SD increase in episodic memory, and a 0.18-0.25 SD increase in brain reserve, defined as the gap (residual) between global cognitive function and magnetic resonance imaging (MRI) indicators of brain atrophy. In contrast, complexity with data or things is rarely associated with cognitive outcomes. We discuss the clinical and methodological implications of these findings, including the need to complement data-centered activities (e.g., Sudoku puzzles) with person-centered interventions that increase social complexity.

Random sampling of alters from networks: A promising direction in egocentric network research.

The social network perspective has great potential for advancing knowledge of social mechanisms in many fields. However, collecting egocentric (i.e., personal) network data is costly and places a heavy burden on respondents. This is especially true of the task used to elicit information on ties between network members (i.e., alter-alter ties or density matrix), which grows exponentially in length as network size increases. While most existing national surveys circumvent this problem by capping the number of network members that can be named, this strategy has major limitations. Here, we apply random sampling of network members to reduce cost, respondent burden, and error in network studies. We examine the effectiveness and reliability of random sampling in simulated and real-world egocentric network data. We find that in estimating sample/population means of network measures, randomly selecting a small number of network members produces only minor errors, regardless of true network size. For studies that use network measures in regressions, randomly selecting the mean number of network members (e.g., randomly selecting 10 alters when mean network size is 10) is enough to recover estimates of network measures that correlate close to 1 with those of the full sample. We conclude with recommendations for best practices that will make this versatile but resource intensive methodology accessible to a wider group of researchers without sacrificing data quality.

Intergroup relationships with people who use drugs: A personal network approach.

Positive and meaningful intergroup contact between people who use drugs and those with the potential to provide positive social interactions has been identified as an important pathway to address the burden of drug use by reducing stigmatizing views and behaviors. Traditional approaches to intergroup contact typically rely on laboratory experiments or survey vignettes to examine the consequences of variation in contact conditions and relationships. Although seldom measured, contact occurs naturally through individuals' personal social networks. Here, we apply this latter approach to examine how the characteristics of drug use and social roles are associated with positive and meaningful intergroup contact in daily life. We leverage unique data from a state representative sample of Indiana residents aged 18 or older (n = 926) that completed a personal network interview and separately reported people they know who have a drug use problem. We first identified the respondents who nominated a person who uses drugs as a member of their core personal network and then evaluated the relationship, disease, and individual characteristics that were associated with that person's inclusion in the personal network. We find that primary relationships (e.g., having a spouse or child who uses drugs) are associated with meaningful contact with people who use drugs but that intense manifestations of disease characteristics (severe or problematic, danger to self) can limit the likelihood of contact. These findings demonstrate how the nature of intergroup contact can shape the types of relationships that have been shown to help reduce stigmatizing attitudes and the behavioral barriers to recovery, such as social isolation. Thus, core networks present a valuable approach to defining the factors that likely contribute to effective intergroup contact.

What kinds of social networks protect older adults' health during a pandemic? The tradeoff between preventing infection and promoting mental health.

When the coronavirus emerged in early 2020, older adults were at heightened risk of contracting the virus, and of suffering mental health consequences from the pandemic and from the precautions designed to mitigate it. In this paper, we examine how social networks prior to the pandemic helped to shape health beliefs, behaviors, and outcomes among older adults during its onset, focusing on (1) perceived risk of COVID-19, (2) preventative health behaviors, and (3) mental health, including loneliness, perceived stress, depression, and anxiety. Drawing on the longitudinal Social Networks in Alzheimer Disease study, we find that networks high in bridging social capital predict greater perceived risk and more precautions taken, but worse mental health. In contrast, networks high in bonding social capital predict less perceived risk and fewer precautions taken, but better mental health. We discuss this apparent tradeoff between physical and mental health.

Cognitively stimulating environments and cognitive reserve: the case of personal social networks.

Cognitively stimulating environments are thought to be protective of cognitive decline and onset of Alzheimer's disease and related dementias (ADRD) through the development of cognitive reserve (CR). CR refers to cognitive adaptability that buffers the impact of brain pathology on cognitive function. Despite the critical need to identify cognitively stimulating environments to build CR, there is no consensus regarding which environmental determinants are most effective. Rather, most studies use education as proxies for CR and little is known about the association between older adults' personal social networks and CR. Using neuroimaging data from 135 older adults participating in the Social Networks in Alzheimer Disease (SNAD) study, this article adopted a residual method for measuring CR and found that large network size, high network diversity, and loosely connected networks were positively associated with greater CR. These results suggest that expansive social networks in later life may constitute cognitively stimulating environments which can be leveraged to build CR and reduce the burden of ADRD.

Do subjective or objective cognitive measures better predict social network type among older adults?

A large literature highlights the link between cognitive function and social networks in later life. Yet there remains uncertainty about the factors driving this relationship. In the present study, we use measures of subjective cognitive decline and clinical cognitive assessments on a sample of older adults to investigate whether the relationship between cognitive function and social networks is driven by psychosocial factors. We found a consistent link between clinical cognitive assessments and social network type, but no association between subjective concerns of cognitive decline and networks. Participants who exhibited signs of clinical cognitive impairment were more likely to have restricted networks (i.e., smaller networks consisting of fewer contacts, more interconnectivity, and less social diversity) compared to their cognitively normal counterparts, regardless of subjective measures of cognitive decline - both from the participant's perspective and study partner's perspective. These findings suggest that neither cognitively impaired older adults nor their network members appear to consciously dissolve social ties on the basis of perceived cognitive decline. However, it remains unclear whether the association between clinical cognitive impairment and social network type indicates the protective nature of social networks against cognitive decline or a subconscious process leading to social contraction.

Personal Network Bridging Potential Across Geographic Context.

OBJECTIVES: Personal networks play a fundamental role in the daily lives of older adults. Although many studies examine how life course factors and personal preferences shape network formation, fewer consider how the places in which older adults live present opportunities and obstacles to cultivate social relationships. In the present study, we explore how geographic context is associated with the ability to bridge social ties within one's personal network. METHODS: We use data from the Person-to-Person Health Interview Survey (N = 709), a representative sample of Indiana residents. Personal network data were collected using 4 name-generating prompts. Logistic regression models and linear regression models were used to assess 2 measures of network bridging. RESULTS: A minority of respondents reported the ability to bridge ties within their networks. Respondents residing in rural and mixed counties were less likely than urban respondents to have at least one member of their network who was completely disconnected from all other members. DISCUSSION: These findings suggest that the communities in which older adults live condition opportunities for accessing unique network resources. Additional research adopting a network perspective is needed to provide insight into geographic disparities occurring among the older population.

Social Isolation and Loneliness Before and During the COVID-19 Pandemic: A Longitudinal Study of U.S. Adults Older Than 50.

OBJECTIVES: The potential impact of social distancing policies during the coronavirus disease 2019 (COVID-19) pandemic on social isolation and loneliness is of increasing global concern. Although many studies focus primarily on loneliness, patterns of social isolation-particularly physical and digital isolation-are understudied. We examined changes in social isolation, physical isolation, digital isolation, and loneliness in U.S. adults older than 50 before and during the lockdown. METHODS: Two waves of the Health and Retirement Study, a national panel sample of U.S. adults older than 50 years, were used. Fixed-effects regression models were fitted to identify within-person change from 2016 to 2020 to examine the impact of social distancing policies during the pandemic. RESULTS: There was an increase in physical isolation and social isolation among respondents during the COVID-19 social distancing policies. However, respondents experienced no change in digital isolation or loneliness. The increase in physical isolation was only present for people with high COVID-19 concern, whereas people with low concern experienced no change in physical isolation. DISCUSSION: Despite an increase in physical isolation due to the social distancing policies, U.S. adults aged older than 50 stayed connected through digital contact and were resilient in protecting themselves from loneliness.

Social Networks and Cognitive Reserve: Network Structure Moderates the Association Between Amygdalar Volume and Cognitive Outcomes.

OBJECTIVES: The cognitive reserve hypothesis has been proposed as a key mechanism explaining the link between social networks and cognitive function but has rarely been empirically tested using neuroimaging data. This study examines whether social network attributes moderate the association between amygdalar volume and cognitive function. METHODS: Data were from the Social Networks in Alzheimer Disease study (N = 154) and Indiana Alzheimer's Disease Research Center. Social networks were measured using the PhenX Social Network Battery. Regional data from magnetic resonance imaging (amygdalar volume [AV]) were analyzed using FreeSurfer software. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA) and consensus diagnosis. Linear regression analyses were conducted to test the moderating role of social networks on the association between AV and cognitive function. RESULTS: Participants with greater ability to span multiple social roles and subgroups within their networks scored higher on the MoCA after adjusting for sociodemographic variables, depression, frequency of contact, and AV. Social networks moderated the association between AV and cognitive function. DISCUSSION: Among participants who engaged in diverse and loosely connected social networks, the expected adverse cognitive effects of brain volume in regions implicated in socioemotional processing were attenuated. These findings suggest that cognitive stimulation achieved through social interaction with a diverse array of social relationships across multiple contexts may help promote cognitive reserve.

Non-Spousal Support, Marital Status, and Mortality Risk.

OBJECTIVE: To investigate whether the association between non-spousal support and mortality risk differs by marital status. METHODS: Using data from the National Social Life, Health, and Aging Project (N = 2460), we estimate a series of logistic regression models to assess how non-spousal support moderates the relationship between marital status and mortality across a 5-year period. RESULTS: Never married respondents who had minimal perceived access to non-spousal support had a greater probability of death compared to married respondents with similar levels of non-spousal support. The disparity in mortality risk between these two groups disappeared when non-spousal support was high. DISCUSSION: Although family and friends play an important role in mortality risk in later life, these findings suggest that never married older adults exhibit a heightened dependence on support from non-spousal sources. Future research and policies should explore ways in which never married older adults can be integrated into a supportive social environment.

Social Networks and Cognitive Function: An Evaluation of Social Bridging and Bonding Mechanisms.

BACKGROUND AND OBJECTIVES: Social connectedness has been linked prospectively to cognitive aging, but there is little agreement about the social mechanisms driving this relationship. This study evaluated 9 measures of social connectedness, focusing on 2 forms of social enrichment-access to an expansive and diverse set of loosely connected individuals (i.e., social bridging) and integration in a supportive network of close ties (i.e., social bonding). RESEARCH DESIGN AND METHODS: This study used egocentric network and cognitive data from 311 older adults in the Social Networks in Alzheimer Disease study. Linear regressions were used to estimate the association between social connectedness and global cognitive function, episodic memory, and executive function. RESULTS: Measures indicative of social bridging (larger network size, lower density, presence of weak ties, and proportion of non-kin) were consistently associated with better cognitive outcomes, while measures of social bonding (close ties, multiplex support, higher frequency of contact, better relationship quality, and being married) largely produced null effects. DISCUSSION AND IMPLICATIONS: These findings suggest that the protective benefits of social connectedness for cognitive function and memory may operate primarily through a cognitive reserve mechanism that is driven by irregular contact with a larger and more diverse group of peripheral others.

Why the cognitive "fountain of youth" may be upstream: Pathways to dementia risk and resilience through social connectedness.

Research suggests social connectedness may help older adults with dementia maintain cognitive functionality and quality of life. However, little is known about its specific social and biological mechanisms. This paper proposes two pathways through social bridging (i.e., cognitive enrichment through expansive social networks) and bonding (i.e., neuroendocrine benefits of integration in cohesive social networks). We provide preliminary evidence for these pathways using neuroimaging, cognitive, and egocentric social network data from the Social Networks and Alzheimer's Disease (SNAD) study (N = 280). We found that network size, density, and presence of weak ties (i.e., social bridging) moderated the association between brain atrophy and cognitive function, while marriage/cohabitation (i.e., social bonding) moderated the association between perceived stress and cognitive function. We argue that social connectedness may have downstream implications for multiple pathophysiological processes in cognitive aging, even negating existing structural damage to the brain, making it a strong candidate for clinical or policy intervention.

A latent variable approach to measuring bridging social capital and examining its association to older adults' cognitive health.

Access to cognitive stimulation through social interactions is a key mechanism used to explain the association between personal networks, cognitive health, and brain structure in older adults. However, little research has assessed how best to operationalize access to novel or diverse social stimuli using social network measures, many of which were designed to study information diffusion within large whole networks (e.g., structural holes and bridging social capital). Using data from 277 adults in the Social Networks and Alzheimer Disease (SNAD) study, we aimed to evaluate such measures for use in research on cognitive aging using personal social networks. We found a positive association between individual measures of structural holes and cognitive health, but not with brain structure. Further, we extracted a latent measure of bridging social capital using multiple individual measures (i.e., structural holes, network diversity, weak ties, and network size) and found it was significantly associated with cognitive health and brain structure, supporting the utility of this concept and related measures in the study of cognitive aging. Finally, individual measures may underestimate the effects of multidimensional bridging social capital on cognitive health and brain structure compared to a latent measure that combines them.

Network recall among older adults with cognitive impairments.

Although it is widely accepted that personal networks influence health and illness, network recall remains a major concern. This concern is heightened when studying a population that is vulnerable to cognitive decline. Given these issues, we use data from the Social Network in Alzheimer Disease project to explore similarities and discrepancies between the network perceptions of focal participants and study partners. By leveraging data on a sample of older adults with normal cognition, mild cognitive impairment, and early stage dementia, we explore how cognitive impairment influences older adults' perceptions of their personal networks. We find that the average individual is more likely to omit weaker, peripheral ties from their self-reported networks than stronger, central ties. Despite observing only moderate levels of focal-partner corroboration across our sample, we find minimal evidence of perceptual differences across diagnostic groups. We offer two broad conclusions. First, self-reported network data, though imperfect, offer a reasonable account of the core people in one's life. Second, our findings assuage concerns that cognitively impaired older adults have skewed perceptions of their personal networks.

Joint social contact and network overlap of spouses facing later adulthood household transitions in Switzerland.

Personal network overlap and joint social contact of spouses have positive implications for social support and marital quality. Although these collective aspects of marriage constitute a valuable resource for couples, the factors impacting them during the later stages of life are underexplored. When faced with critical role losses in later life one compensatory mechanism for internal continuity is to jointly invest in relational dimensions of one's marriage. Accordingly, this research hypothesizes that some later adulthood transitions lead to greater overlap in conjugal networks and more joint contact between partners. Using two waves of data from a nationally representative sample of Swiss couples, it was found that both transitions of children leaving the household and retirement were related to increases in personal network overlap and shared social contact between partners but differently for male and female partners. Results are discussed in the light of mechanisms promoted by continuity theory.

Personal networks and mortality in later life: racial and ethnic differences.

BACKGROUND: Social network characteristics are associated with health outcomes in later life, including mortality. Moreover, there are well-established mortality disparities across race and ethnicity. Although previous studies have documented these associations separately, limited research considers the two in tandem. The present study addressed how the associations between social network characteristics and mortality differ across race and ethnicity in later life. METHODS: Data were from the National Social Life, Health, and Aging Project. At baseline, 3005 respondents were interviewed with regards to their health and social networks. Five years later, 430 respondents had died. Logistic regression models were used to estimate the odds of all-cause mortality over the study period. RESULTS: Network size and kin composition were negatively associated with mortality, whereas density was positively associated with mortality. There was a stronger negative association between the kin composition and mortality for Hispanic respondents compared with white and Black respondents. CONCLUSION: The present study contributes to the large literature documenting the link between social networks and health by highlighting the importance of analyzing networks through a sociocultural lens.

Social networks and health in later life: a state of the literature.

Late life is a period frequently marked by decline in personal health and heightened need for social support. Consequently, the social networks in which individuals are embedded assume an increasingly central role in the health and wellbeing of older adults. In the present article, I review the state of the literature on social networks and health in later life. By drawing on insights from the sociology of ageing and the life course, I address new developments and current challenges within the field. Chief among these developments and challenges is the recognition that the ageing process does not occur in a vacuum. Rather, individuals are consistently exposed to numerous changes to their social lives which have strong implications for current and future health outcomes. Upon highlighting the latest innovations within the field of networks and health, I conclude with useful directions for future research.