The Social Connectedness of Older Adults during the COVID-19 Pandemic: Evidence by Survey Mode and Respondent Dementia.

OBJECTIVES: The COVID-19 pandemic has affected many aspects of social life, especially among older adults who may face cognitive impairments. Concerning this combination of circumstances, the study evaluates the degree to which data collection on social connectedness among older adults might be affected by the social complexities of the COVID-19 pandemic. METHOD: We use data from the National Social Life, Health and Aging Project (NSHAP), a nationally representative study of community-dwelling older adults in the U.S., which conducted a special multi-mode COVID study between September 2020 and January 2021, in part to examine social impacts of the COVID-19 pandemic and to assess how alternative survey modes performed during the pandemic. Our final sample includes 2,251 older adults, ages 55 and older. RESULTS: Older adults' social connectedness was adversely affected by the pandemic. People reported a tendency to move toward electronic communication and away from in-person contact. Concomitantly, there is some evidence of survey mode effects that are related to electronic communication. Those who elected to participate on the phone, or the internet disproportionately reported using those means of communication with their social network members. Notably, this pattern was stronger among those who did not suffer from dementia, suggesting cognition effects on survey completion. DISCUSSION: Researchers should remain cognizant of how data on social connections were collected during the COVID-19 pandemic. These findings may indicate the role dementia plays in preventing people from adapting to new social networking realities with alternative means of communication during the pandemic.

"I Love You to Death": Social Networks and the Widowhood Effect on Mortality.

Research on "the widowhood effect" shows that mortality rates are greater among people who have recently lost a spouse. There are several medical and psychological explanations for this (e.g., "broken heart syndrome") and sociological explanations that focus on spouses' shared social-environmental exposures. We expand on sociological perspectives by arguing that couples' social connections to others play a role in this phenomenon. Using panel data on 1,169 older adults from the National Social Life, Health, and Aging Project, we find that mortality is associated with how well embedded one's spouse is in one's own social network. The widowhood effect is greater among those whose spouses were not well connected to one's other network members. We speculate that the loss of a less highly embedded spouse signals the loss of unique, valuable, nonredundant social resources from one's network. We discuss theoretical interpretations, alternative explanations, limitations, and directions for future research.

Social network-structural position and obesity: Evidence from a national study.

This study expands on research on the social-structural bases of obesity by examining the role played by individuals' positions within their egocentric social networks in shaping body mass index. We argue that individuals' tendency to be a bridge between otherwise unconnected people can affect body mass index. Furthermore, health-specific resources flowing through their networks might interact with this network-structural position to shape this association. Using multivariate analyses of recent nationally representative data on older Americans, we find that occupying a bridging position within a network is negatively related to the likelihood of being obese. Moreover, people who have this bridging potential tend to benefit more from health-related knowledge in their networks than those who do not have it. Our findings underscore the importance of considering social network position and the functional specificity of ties in understanding the structural bases of health problems like obesity. We close by discussing implications of these findings for future work on obesity including potential insights into important health disparities.

Neighborhood Conditions and Social Network Turnover among Older Adults.

Increasing research highlights heterogeneity in patterns of social network change, with growing evidence that these patterns are shaped in part by social structure. The role of social and structural neighborhood conditions in the addition and loss of kin and non-kin network members, however, has not been fully considered. In this paper, we argue that the residential neighborhood context can either facilitate or prevent the turnover of core network relationships in later life - a period of the life course characterized by heightened reliance on network ties and vulnerability to neighborhood conditions. Using longitudinal data from the National Social Life, Health, and Aging Project linked with data from the American Community Survey, we find that higher levels of neighborhood concentrated disadvantage are associated with the loss of older adults' kin and non-kin network members over time. Higher levels of perceived neighborhood social interaction, however, are associated with higher rates of adding non-kin network members and lower rates of adding kin network members over time. We suggest that neighborhood conditions, including older adults' perceptions of neighborhood social life, represent an underexplored influence on kin and non-kin social network dynamics, which could have implications for access to social resources later in the life course.

Robot-Assisted Thoracolumbar Fixation After Acute Spinal Trauma: A Case Series.

BACKGROUND: Pedicle screw fixation has become the workhorse for the stabilization of the thoracolumbar spine. Since accurate pedicle screw placement is necessary for a successful surgery, three-dimensional navigation has become a mainstay for placing pedicle screws. However, the published studies have an overrepresentation of lumbar screws despite the prevalence of thoracic fractures. Furthermore, no robotic-assisted pedicle screw study has focused solely on traumatic fractures. The goal of this study was to address whether (1) robot-assisted pedicle screw placement had comparable accuracy in the thoracic and thoracolumbar region and (2) robot-assisted spine surgery was feasible in an acute, traumatic setting. METHODS: We performed 14 consecutive, thoracolumbar spinal stabilization procedures in which 126 pedicle screws were placed using the Globus ExcelsiusGPS® spine robot in an acute, traumatic setting. Operative times were measured, and the accuracy of pedicle screws was assessed with the Gertzbein and Robbins classification system by two board-certified neuroradiologists. RESULTS: A total of 60-thoracic (T3-T11), the 24-thoracolumbar junction (T12-L1), 40-lumbar (L2-L5), and two-sacral pedicle screws were placed. Pedicle screw placement was accurate with a < 1% (1/126) pedicle breach rate. Thoracolumbar robotic spine surgery in an acute, traumatic setting was demonstrated to have a good safety profile with only one minor neurological deficit which was related to positioning. Furthermore, surgical times were inversely related to the case number. CONCLUSIONS: These results together suggest that robot-assisted spine surgery is accurate in the thoracic spine. Furthermore, placement of thoracolumbar screws in an acute trauma is non-inferior to other methods when based on accuracy.

Torcular pseudomass in a 14-month-old child: illustrative case.

BACKGROUND: "Torcular pseudomass," or redundant soft tissue in the torcular region, is not an infrequent incidental finding on advanced imaging of the brain in infants and young children. It was recently codified among pediatric neuroradiologists; however, its report in the pediatric neurosurgical community has not previously been elucidated. OBSERVATIONS: The authors present a case of a 14-month-old child who presented with fever and a first-time seizure. Computed tomography of the head suggested an epidural abscess; however, magnetic resonance imaging characteristics of the lesion were consistent with torcular pseudomass, a normal variant. At the 3-month follow-up, the child was continuing to do well and had not had another seizure. There have been no indications for surgical intervention or additional radiographic surveillance. LESSONS: The differential diagnosis for torcular pseudomass includes dural venous sinus thrombosis, dermoid cysts, occipital encephalocele, eosinophilic granuloma, and primary and metastatic tumors, such as neuroblastoma. The management of each of these disorders in the differential diagnosis may be much more invasive than continued observation in the case of torcular pseudomass. Therefore, it is important for pediatric neurosurgeons to become familiar with this developmental anomaly of the dura and occipital skull.

Sequence analysis: Its past, present, and future.

This article marks the occasion of Social Science Research's 50th anniversary by reflecting on the progress of sequence analysis (SA) since its introduction into the social sciences four decades ago, with focuses on the developments of SA thus far in the social sciences and on its potential future directions. The application of SA in the social sciences, especially in life course research, has mushroomed in the last decade and a half. Using a life course analogy, we examined the birth of SA in the social sciences and its childhood (the first wave), its adolescence and young adulthood (the second wave), and its future mature adulthood in the paper. The paper provides a summary of (1) the important SA research and the historical contexts in which SA was developed by Andrew Abbott, (2) a thorough review of the many methodological developments in visualization, complexity measures, dissimilarity measures, group analysis of dissimilarities, cluster analysis of dissimilarities, multidomain/multichannel SA, dyadic/polyadic SA, Markov chain SA, sequence life course analysis, sequence network analysis, SA in other social science research, and software for SA, and (3) reflections on some future directions of SA including how SA can benefit and inform theory-making in the social sciences, the methods currently being developed, and some remaining challenges facing SA for which we do not yet have any solutions. It is our hope that the reader will take up the challenges and help us improve and grow SA into maturity.

Associations between general practice characteristics and chest X-ray rate: an observational study.

BACKGROUND: Chest X-ray (CXR) is the first-line test for lung cancer in many settings. Previous research has suggested that higher utilisation of CXR is associated with improved outcomes. AIM: To explore the associations between characteristics of general practices and frequency of investigation with CXR. DESIGN AND SETTING: Retrospective observational study of English general practices. METHOD: A database was constructed of English general practices containing number of CXRs requested and data on practices for 2018, including patient and staff demographics, smoking prevalence, deprivation, and patient satisfaction indicators. Mixed-effects Poisson modelling was used to account for variation because of chance and to estimate the amount of remaining variation that could be attributed to practice and population characteristics. RESULTS: There was substantial variation in GP CXR rates (median 34 per 1000 patients, interquartile range 26-43). Only 18% of between-practice variance in CXR rate was accounted for by recorded characteristics. Higher practice scores for continuity and communication skills, and higher proportions of smokers, Asian and mixed ethnic groups, and patients aged >65 years were associated with increased CXR rates. Higher patient satisfaction scores for access and greater proportions of male patients and patients of Black ethnicity were associated with lower CXR rates. CONCLUSION: Substantial variation was found in CXR rates beyond that expected by chance, which could not be accounted for by practices' recorded characteristics. As other research has indicated that increasing CXR rates can lead to earlier detection, supporting practices that currently investigate infrequently could be an effective strategy to improve lung cancer outcomes.

Tracking Egocentric Social Network Change Across Three Rounds of National Survey Data.

BACKGROUND: The National Social Life, Health, and Aging Project (NSHAP) has collected 3 rounds of data on older adults' egocentric social networks. We describe the structure of network data collection for different components of the sample and the data that are available for those groups. We also describe survey techniques that were used to track specific personnel changes that occurred within respondents' networks during the 10-year study period. METHOD: Descriptive statistics are presented for measures of network size, composition, and internal structure at all 3 rounds, respondent-level summary measures of change in these characteristics between and across rounds, and measures of change associated with the loss and addition of network members across Rounds 1, 2, and 3. Procedures that were used to clean the network change data are also explained. RESULTS: The NSHAP network change module provides reliable information about specific changes that occurred within respondents' confidant networks. For returning baseline respondents, there is considerable overlap with respect to which confidants are named in successive rosters, but the norm is for Round 3 networks to be composed primarily of new confidants. DISCUSSION: These data provide new insights into the dynamic nature of networks in later life. Data limitations, and directions for future research, are discussed.

Evaluation of the Prognostic Value of Lactate and Acid-Base Status in Patients Presenting to the Emergency Department.

Background Lactate levels predict mortality in a wide range of patients presenting to the Emergency Department (ED); however, the effect of co-existing acidosis is unknown. Here, we investigated the effect of acidosis on in-hospital mortality for patients with hyperlactataemia. Methodology This is a retrospective cohort study of adults cared for in the resuscitation area of one ED who received a metabolic panel on arrival. The primary outcome was in-hospital mortality for patients with normal lactate (0.0-2.0 mmol/L), intermediate lactate (2.1-4.0 mmol/L), or high lactate (>4.0 mmol/L), with and without acidosis. Odds ratios (ORs) were calculated to assess the differences in mortality rates between groups stratified by lactate and acid-base status. Results A total of 4,107 metabolic panels were collected and 3,238 were assessed. In total, 510 (15.8%) and 784 (24.2%) patients had a normal lactate and acidosis/no acidosis; 587 (18.1%) and 842 (26.0%) had intermediate lactate and acidosis/no acidosis; and 388 (12.0%) and 127 (3.9%) had high lactate and acidosis/no acidosis, respectively. The overall mortality was 5%. Mortality was 4.3%/0.6% in the normal lactate, 5.6%/2.6% in the intermediate lactate, and 19.3%/3.9% in the high lactate groups, with and without acidosis, respectively. Combining base excess <-6 and lactate >4 mmol/L had a sensitivity of 39%, specificity of 96%, positive predictive value of 32%, and negative predictive value of 98% for in-hospital mortality (OR: 14.0; 95% confidence interval: 9.77-20.11). Conclusions In an undifferentiated cohort of ED patients presenting to the resuscitation area lactaemia associated with acidosis is a more accurate predictor of in-hospital mortality than hyperlactataemia.

Impact of Personal Social Network Types on Breastfeeding Practices in United States-Born Black and White Women.

Background: An individual's personal social network influences behavior; one is more likely to adopt behaviors consistent with norms within the network to avoid social stigma. Personal social network types, which are associated with individual behaviors, have been identified for new mothers: exclusive (kin centric) and expansive (not kin centric). Objective: To analyze the impact of personal social network type on breastfeeding practices in U.S.-born Black and White mothers. Methods: Mothers of infants <6 months old completed surveys about their personal social networks and feeding practices. Multinomial logit models examined how social network types moderated effects of sociodemographic factors on feeding practices. Results: Of 402 mothers, 67% self-identified as Black and 33% as White. Forty-six percent were exclusively breastfeeding; 26% were mixed breast and formula feeding. The likelihood of exclusively breastfeeding was positively associated with percentage of network members who had breastfed; this association was stronger for mothers with exclusive networks than those with expansive networks (ß = 2.74, p < 0.001 versus ß = 1.78, p = 0.03). Black race was positively correlated with exclusive breastfeeding or mixed feeding for mothers with exclusive networks (ß = 1.50, p = 0.046; ß = 1.86, p = 0.02, respectively). Lower educational level was negatively correlated with exclusive breastfeeding; this correlation was stronger for mothers with exclusive networks (ß = -1.91, p = 0.002 versus ß = -1.70, p = 0.04). Lower educational level was also negatively correlated with mixed feeding for mothers with exclusive networks (ß = -1.61, p = 0.02). Conclusions: Mothers' personal social network type likely moderates the relationship between sociodemographic variables and feeding practices. While the influence of having network members with breastfeeding experience is important, the magnitude of influence is stronger in exclusive networks.

Can respondent driven sampling be used to recruit new mothers? A mixed methods study in metropolitan Washington DC.

BACKGROUND: Respondent driven sampling (RDS) is employed to recruit populations that are hard-to-reach, "hidden," or without a sampling frame. For new mothers (those with infants <6 months) in countries without national health care systems or registries, there is no sampling frame, and random samples may only be attained through costly strategies, e.g., random-dial calling. OBJECTIVE: To assess the feasibility of RDS to recruit new mothers. METHODS: In the initial study, we recruited 30 new mothers ("seeds") from a single birth hospital; each was given 3 referral coupons to give to other mothers ("referrals"). When our sample did not self-perpetuate with referrals, additional seeds were recruited. Demographics of seeds and referrals were compared. A subset of mothers participated in focus groups and were asked about their experience with RDS. We also conducted a second survey of new mothers to further assess feasibility of RDS in this population. RESULTS: Of the 402 mothers recruited in the initial study, 305 were seeds and only 97 were referrals. Referrals were more likely to be White, highly educated, older, and privately insured (all p≤0.001). Focus group participants indicated that the time required to meet other mothers was an important barrier. In the second survey we recruited 201 mothers; only 53.7% knew ≥1 mother whom they could invite to the study. CONCLUSIONS: New mothers are not easily recruited using RDS because they have a limited number of contacts who are also new mothers. Those recruited through RDS are more likely to be older, Caucasian and of high socioeconomic status, indicating it is not an effective way to recruit a representative sample of new mothers.

Social network influences on new mothers' infant sleep adjustments.

Despite public awareness campaigns, some parents continue to engage in infant sleep practices that are considered risky by health experts, such as bedsharing or placing their infants on their stomachs. This study examines the role their social networks play in shaping parents' responsiveness to new information and/or suggestions about how they should place their infants for sleep, paying attention to the respective effects of health professionals and their close interpersonal ties. We collected data from a sample of 323 new mothers in Washington, D.C., who described their infant sleep practices and perceived personal social networks. We find evidence that mothers' social networks play a significant role in the likelihood that they adjust their infant sleep practices within the first few months of their infants' lives. Mothers are more likely to change sleep practices when health professionals and/or (lay) family members advise them to do so. The influence of network members is not always positive. For mothers who initially follow safe practices, their probability of change increases if their network members substantially espouse unsafe practices. Among mothers with initially unsafe practices, network members' level of support for safe sleep practices is not predictive of the likelihood of sleep practice change. Implications for potential interventions are discussed.

Homeostasis Revisited: Patterns of Stability and Rebalancing in Older Adults' Social Lives.

OBJECTIVES: To examine patterns of change in later-life social connectedness: (a) the extent and direction of changes in different aspects of social connectedness, including size, density, and composition of social networks, network turnover, and three types of community involvement and (b) the sequential nature of these changes over time. METHOD: We use three waves of nationally representative data from the National Social Life, Health, and Aging Project, collected from 2005/2006 to 2015/2016. Respondents were between the ages of 67 and 95 at follow-up. Types of changes in their social connectedness between the two successive 5-year periods are compared to discern over-time change patterns. RESULTS: Analyses reveal stability or growth in the sizes of most older adults' social networks, their access to non-kin ties, network expansiveness, as well as several forms of community involvement. Most older adults experienced turnover within their networks, but losses and additions usually offset each other, resulting in generally stable network size and structural features. Moreover, when older adults reported decreases (increases) in a given form of social connectedness during the first half of the study period, these changes were typically followed by countervailing increases (decreases) over the subsequent 5-year period. This general pattern holds for both network and community connectedness. DISCUSSION: There is an overwhelming tendency toward either maintaining or rebalancing previous structures and levels of both personal network connectedness and community involvement. This results in overall homeostasis. We close by discussing the need for a unifying theoretical framework that can explain these patterns.

Tied Infections: How Social Connectedness to Other COVID-19 Patients Influences Illness Severity.

Expanding on recent research on the transmission of COVID-19 via social networks, this article argues that exposure to familial and other close contacts who already have the disease may increase the severity of one's subsequent illness. We hypothesize that having family members or close contacts who were diagnosed with COVID-19 before one's own diagnosis exacerbates illness severity due to several potential mechanisms including changes in available social support access, increased stress and strain, and increased viral load due to the nature of one's exposure to the novel coronavirus. We analyze administrative data of all 417 patients who were diagnosed with COVID-19 in the Chinese city of Shenzhen between January 8 and February 25, 2020. Our analyses show that, when patients had family members or close ties diagnosed with COVID-19, they experienced more severe illness. We also find that patients with infected family members or close contacts did not have significantly extended total illness duration, due to their reduced time to diagnosis. The implications of both findings are discussed.

Factors Associated with Treatment Failure and Radiosurgery-Related Edema in WHO Grade 1 and 2 Meningioma Patients Receiving Gamma Knife Radiosurgery.

BACKGROUND: Before the advent of radiosurgery, neurosurgical treatment of meningiomas typically involved gross total resection of the mass whenever surgery was deemed possible. Over the past 4 decades, though, Gamma Knife radiosurgery (GKRS) has proved to be an effective, minimally invasive means to control the growth of these tumors. However, the variables associated with treatment failure (regrowth or clinical progression) after GKRS and GKRS-related complications, such as cerebral edema, are less well understood. METHODS: We retrospectively collected data between 2009 and 2018 for patients who underwent GKRS for meningiomas. After data collection, we performed univariate and multivariable modeling of the factors that predict treatment failure and cerebral edema after GKRS. Hazard ratios (HR) and P values were determined for these variables. RESULTS: Fifty-two patients were included our analysis. The majority of patients were female (38/52,73%), and nearly all patients presented with a suspected or confirmed World Health Organization grade 1 meningioma (48/52, 92%). The median tumor volume was 3.49 cc (range, 0.22-20.11 cc). Evidence of meningioma progression after treatment developed in 5 patients (10%), with a median time to continued tumor growth of 5.9 months (range, 2.7-18.3 months). In multivariable analysis, patients in whom treatment failed were more likely to be male (HR = 8.42, P = 0.045) and to present with larger tumor volumes (HR = 1.27, P = 0.011). In addition, 5 patients (10%) experienced treatment-related cerebral edema. On univariate analysis, patients who experienced cerebral edema were more likely present with larger tumors (HR = 1.16, P = 0.028). CONCLUSIONS: Increasing meningioma size and male gender predispose to meningioma progression after treatment with GKRS. Increasing tumor size also predicts the development of postradiosurgery cerebral edema.

A Public BCR Present in a Unique Dual-Receptor-Expressing Lymphocyte from Type 1 Diabetes Patients Encodes a Potent T Cell Autoantigen.

T and B cells are the two known lineages of adaptive immune cells. Here, we describe a previously unknown lymphocyte that is a dual expresser (DE) of TCR and BCR and key lineage markers of both B and T cells. In type 1 diabetes (T1D), DEs are predominated by one clonotype that encodes a potent CD4 T cell autoantigen in its antigen binding site. Molecular dynamics simulations revealed that this peptide has an optimal binding register for diabetogenic HLA-DQ8. In concordance, a synthetic version of the peptide forms stable DQ8 complexes and potently stimulates autoreactive CD4 T cells from T1D patients, but not healthy controls. Moreover, mAbs bearing this clonotype are autoreactive against CD4 T cells and inhibit insulin tetramer binding to CD4 T cells. Thus, compartmentalization of adaptive immune cells into T and B cells is not absolute, and violators of this paradigm are likely key drivers of autoimmune diseases.

Implications of Mothers' Social Networks for Risky Infant Sleep Practices.

OBJECTIVE: To describe the structure of networks in a cohort of mothers and to analyze associations of social network characteristics and norms with infant sleep practices. STUDY DESIGN: We recruited a prospective cohort of mothers with infants <6 months of age from January 2015 to December 2016. Mothers completed a survey about their personal social networks and infant care practices. Latent class analysis identified unobserved network types. Binary statistics and path analysis were performed. RESULTS: Overall, 402 mothers were surveyed. Latent class analysis identified 2 a priori unknown social network types: "exclusive" (restricted) and "expansive." Mothers who were black, younger, unmarried, less educated, and of lower socioeconomic status were more likely to have exclusive networks than expansive networks. Mothers with exclusive networks were more likely to be exposed to the norm of soft bedding (P = .002). Exposure to norms of non-supine infant placement, bedsharing, and soft bedding use within one's network was associated with engaging in these practices (P < .0001 for each). First-time mothers were more likely to pay attention to a non-supine norm and place infants in a non-supine position. Black mothers and first-time mothers were more likely to pay attention to the norm and use soft bedding. CONCLUSIONS: Both the type of networks mothers have and the norms regarding infant sleep practices that circulate within these networks differed by race. Network norms were strongly associated with infant sleep practices and may partially explain the racial disparity therein.

Systemic response of coated-platelet and peripheral blood inflammatory cell indices after aneurysmal subarachnoid hemorrhage and long-term clinical outcome.

PURPOSE: Post-hemorrhage period after aneurysmal subarachnoid hemorrhage (aSAH) has several systemic manifestations including prothrombotic and pro-inflammatory states. Inter-relationship between these states using established/routine laboratory biomarkers and its long-term effect on clinical outcome is not well-defined. MATERIALS AND METHODS: Retrospective analysis of prospective cohort of 44 aSAH patients. Trend of procoagulant biomarkers [coated-platelets, mean platelet volume to platelet count (MPV:PLT)] and peripheral inflammatory biomarkers [platelet-lymphocyte ratio (PLR), neutrophil-platelet ratio (NLR)] were analyzed using regression analysis. Occurrence of delayed cerebral ischemia (DCI), modified Rankin score (mRS) of 3-6 and Montreal cognitive assessment (MoCA) of <26 at 1-year defined adverse clinical outcome. RESULTS: Patients with worse mRS and MoCA score had higher rise in coated-platelet compared to those with better scores [20.4 (IQR: 15.6, 32.9) vs. 10.95 (IQR: 6.1, 18.9), p = 0.003] and [16.9 (IQR: 13.4, 28.1) vs. 10.95 (IQR: 6.35, 18.65), p = 0.02] respectively. NLR and PLR trends showed significant initial decline followed by a gradual rise in NLR among those without DCI as compared to persistent low levels in those developing DCI (0.13 units/day vs. -0.07 units/day, p = 0.06). CONCLUSIONS: Coated-platelet rise after aSAH is associated with adverse long-term clinical outcome. NLR and PLR trends show an early immune-depressed state after aSAH.

A Longitudinal Examination of Factors Associated with Network Bridging Among YMSM: Implications for HIV Prevention.

Social-environmental factors may be associated with social network stability, which has implications for HIV acquisition. However, the link between social-environmental factors, network composition and HIV risk has not been examined previously among a city-population based sample of young Black men who have sex with Men (YBMSM). Respondent driven sampling was used to recruit a cohort of 618 YMBSM. Respondents were evaluated at baseline, 9 and 18 months beginning June 2013. A logistic regression model was used to assess the relationship between bridging (i.e. having non-redundant contacts in one's network, indicating network instability) and social-environmental factors and HIV risk factors between respondents, and a conditional logit model was used to assess these relationships within respondents over time. Bridging was associated with adverse social-environmental factors and higher HIV risk, indicating that bridging may be on the explanatory pathway. Future studies should assess the extent to which network stability factors mitigate HIV risk.