Psychometric Validation of the Brief Alcohol Social Density Assessment in an Adult Community Sample.

BACKGROUND: Individuals' social networks exert a strong influence on alcohol use, but valid assessment of network drinking behavior is typically lengthy and high in participant burden. The aim of this study was to validate the Brief Alcohol Social Density Assessment (BASDA), an efficient measure of perceived alcohol use within a person's social network, in a sample of adult drinkers from the general community. Specifically, the convergent, criterion-related, incremental validity and internal validity were investigated by examining the BASDA in relation to other established measures of drinking motives, weekly drinking level, and severity of involvement. METHODS: Participants were 903 (56% female) adults who reported drinking in the last year and who completed the BASDA, the Drinking Motives Questionnaire, the Daily Drinking Questionnaire, and the Alcohol Use Disorders Identification Test (AUDIT). RESULTS: Significant positive correlations were found between the BASDA and drinking motives, drinking quantity, and the AUDIT (rs = 0.21 to 0.51, ps < 0.001), providing support for convergent validity. There was a significantly higher BASDA score for those scoring at or above an AUDIT cutoff for hazardous drinking (p < 0.001), providing support for criterion-related validity. Finally, beyond motives and covariates, the BASDA was significantly associated with total AUDIT score (ΔR2  = 0.09, p < 0.001), indicating its additive contribution and providing support for incremental validity. Confirmatory factor analysis revealed excellent fit, and all items significantly loaded onto a single factor (p < 0.0001), providing evidence of internal validity. The resulting alcohol social density latent variable was significantly and robustly associated with drinks per week and AUDIT total score. CONCLUSIONS: These findings provide further support for the BASDA as a valid and efficient measure of social network alcohol density for understanding social influences on alcohol misuse.

Disordered eating in college sorority women: A social network analysis of a subset of members from a single sorority chapter.

OBJECTIVE: Disordered eating attitudes and behaviors are prevalent among college women, and peers appear to influence current and future eating pathology. Social network analysis (SNA) is an innovative quantitative method to examine relationships (i.e., ties) among people based on their various attributes. In this study, the social network of one sorority was modeled using exponential random graph model (ERGM) to explore if homophily, or the tendency for relationship ties to exist based on shared attributes, was present according to sorority members' disordered eating behaviors/attitudes and their body mass index (BMI). METHOD: Participants included members of one sorority at a large Southeastern university. All members were included on a roster unless they elected to opt out during the consent process, and 41 (19%) of the members completed the study measures. Participants completed the Social Network Questionnaire developed for this study (degree of "liking" of every member on the roster), the Eating Disorder Examination-Questionnaire (EDE-Q), and a demographics questionnaire in exchange for one hour of community service credit. RESULTS: The final sample consisted of mostly White women with an average age of 20. Homophily across liking ties was examined based on the EDE-Q Global scale, episodes of binge eating, and BMI. The greater the difference in EDE-Q Global scores, the more likely the participants were to like one another. The greater the difference in BMI, the less likely the participants were to like one another. Binge eating was unrelated to homophily. DISCUSSION: College sorority women appear to prefer other women with dissimilar levels of disordered eating attitudes, suggesting complex interactions between stigmatized or valued disordered eating attributes. Women with similar BMI were more likely to like one another, confirming past findings.

Variability in personality expression across contexts: a social network approach.

The current research investigated how the contextual expression of personality differs across interpersonal relationships. Two related studies were conducted with college samples (Study 1: N = 52, 38 female; Study 2: N = 111, 72 female). Participants in each study completed a five-factor measure of personality and constructed a social network detailing their 30 most important relationships. Participants used a brief Five-Factor Model scale to rate their personality as they experience it when with each person in their social network. Multiple informants selected from each social network then rated the target participant's personality (Study 1: N = 227, Study 2: N = 777). Contextual personality ratings demonstrated incremental validity beyond standard global self-report in predicting specific informants' perceptions. Variability in these contextualized personality ratings was predicted by the position of the other individuals within the social network. Across both studies, participants reported being more extraverted and neurotic, and less conscientious, with more central members of their social networks. Dyadic social network-based assessments of personality provide incremental validity in understanding personality, revealing dynamic patterns of personality variability unobservable with standard assessment techniques.

Diagnostic discrimination of social network indicators in alcohol use disorder: Initial examination using high-resolution and brief assessments.

OBJECTIVE: Social network analysis (SNA) characterizes the structure and composition of a person's social relationships. Network features have been associated with alcohol consumption in observational studies, primarily of university undergraduates. No studies have investigated whether indicators from a person's social network can accurately identify the presence of alcohol use disorder (AUD), offering an indirect strategy for identifying AUD. METHOD: Two cross-sectional case-control designs examined the clinical utility of social network indicators for identifying individuals with AUD (cases) versus demographically matched drinkers without AUD (controls). Study 1 (N = 174) used high-resolution egocentric SNA assessment, whereas Study 2 (N = 189) used a brief assessment. RESULTS: In Study 1, significant differences between AUD+ participants and controls were present for network alcohol severity (i.e., heavy drinking days; d = 1.23) and frequency (d = 0.35), but not network structural features. Network alcohol severity exhibited very good classification of AUD+ individuals versus controls (area under the curve [AUC] = 0.80), whereas network frequency did not (AUC = 0.61). In Study 2, significant differences were present for network alcohol severity (d = 1.02), quantity (d = 0.74), and frequency (d = 0.43), and severity exhibited good differentiation (AUC = 0.76). CONCLUSIONS: Social network indicators of alcohol involvement robustly differentiated AUD+ individuals from matched controls, and the brief assessment performed almost as well as the high-resolution assessment. These findings provide proof-of-concept for severity-related SNA indicators as promising novel clinical assessments for AUD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Social density of gambling and its association with gambling problems: an initial investigation.

The role of social factors in pathological gambling has received relatively little systematic research. The goal of the current study was to examine the relationship between a target individual's gambling behavior and the gambling behavior among that individual's parents, siblings and five closest friends. The specific aims were, first, to apply a novel brief assessment to study the social density of factors relating to pathological gambling; second, to replicate previously observed findings involving the social aggregation of alcohol and tobacco use; and third, to examine social density findings among the three domains. Participants were 128 frequent gamblers from the Athens, Georgia area, 79.7 % male with a mean age of 34.2 (SD = 11.7). Participants were assessed using the Diagnostic Interview for Gambling Severity for gambling severity, the Alcohol Use Disorders Identification Test for alcohol abuse, the Fagerstrom Test of Nicotine Dependence for tobacco use, and the novel Brief Social Density of Gambling, Alcohol, and Tobacco Assessment. Significant relationships were observed between participants' and friends' activity within all domains: gambling (ps = .001), alcohol use (p < .001) and tobacco use (p < .001). Relationships with friends' activity across domains were less strong. Distinct patterns of associations with parents and siblings were not observed. Thus, social aggregation was observed across the three domains of potentially addictive behaviors, generally with specificity within domains and with friends, not biological relatives. Methodological considerations and potential applications of these findings are discussed.

Self-reported personality variability across the social network is associated with interpersonal dysfunction.

We describe 2 studies (n=52 and n=82) examining variability in perceptions of personality using a social network methodology. Undergraduate participants completed self-report measures of personality and interpersonal dysfunction and then subsequently reported on their personalities with each of 30 members of their social networks. Results across the 2 studies found substantial variability in participants' perceived personalities within their social networks. Measures of interpersonal dysfunction were associated with the amount of variability in dyadic ratings of personality, specifically Agreeableness and Openness to Experience. Results suggest that personality variability across interpersonal contexts may be an important individual difference related to social behavior and dysfunction.

Personality Disorder in Social Networks: Network Position as a Marker of Interpersonal Dysfunction.

The present study investigated social network position as a marker of interpersonal functioning in personality disorders. Participants were groups of military recruits (N=809) in 21 training groups. Participants completed self- and informant-versions of the Multisource Assessment of Personality Pathology, acting as both targets and judges in a round-robin design. Network characteristics were associated with both self- and peer-reported personality disorder traits. Consistent with DSM-IV descriptors, measures of centrality and degree connectivity were positively associated with Narcissistic and Histrionic PDs, and negatively associated with Avoidant, Schizoid, and Schizotypal PDs.

Social disadvantage and borderline personality disorder: A study of social networks.

Examining differences in social integration, social support, and relationship characteristics in social networks may be critical for understanding the character and costs of the social difficulties experienced of borderline personality disorder (BPD). We conducted an ego-based (self-reported, individual) social network analysis of 142 participants recruited from clinical and community sources. Each participant listed the 30 most significant people (called alters) in their social network, then rated each alter in terms of amount of contact, social support, attachment strength and negative interactions. In addition, measures of social integration were determined using participant's report of the connection between people in their networks. BPD was associated with poorer social support, more frequent negative interactions, and less social integration. Examination of alter-by-BPD interactions indicated that whereas participants with low BPD symptoms had close relationships with people with high centrality within their networks, participants with high BPD symptoms had their closest relationships with people less central to their networks. The results suggest that individuals with BPD are at a social disadvantage: Those with whom they are most closely linked (including romantic partners) are less socially connected (i.e., less central) within their social network. (PsycINFO Database Record

Social networks in borderline personality disorder.

The interpersonal dysfunction that characterizes borderline personality disorder (BPD) has generally been studied using broad global measures, leading to a lack of precision. We report on a novel methodology using social network analysis (SNA) to quantify interactions with others in the patient's social world. We assessed the social networks of 22 clinical patients, diagnosed with either BPD (N = 11) or no personality disorder (No PD; N = 11). The social networks of patients with BPD contained a greater number of former romantic partners, and a greater number of relationships that had been terminated. Mixed model analyses found that the No PD group reported higher levels of positive relationships (e.g., trust, social support) with more central members of their social networks, whereas the BPD group did not discriminate among members of their networks. Results suggest deficits in social cognition for positive relations, but not for negative relations such as interpersonal conflict.

Self- and other-reports of traits from the five-factor model: relations to personality disorder.

The current study used a psychiatric sample (N = 69) to examine: (1) the correspondence between self- and other-reports of general personality, as measured by the Five-Factor Model (FFM; Costa & McCrae, 1990), and personality disorder (PD) traits, as measured by a structured interview, (2) the relations between these two sets of ratings (FFM and PD traits) and consensus ratings of PD and impairment, and (3) the incremental validity of other-rated personality scores. Agreement between raters for the five domains of the FFM ranged from .23 (agreeableness) to .71 (openness); for the PD traits agreement ranged from .37 (avoidant) to .69 (antisocial). At both the domain and facet level, the personality profiles reflected in the correlations between the FFM scores and PD criteria were consistent across raters with the exception of narcissistic PD. Substantial evidence was found for the incremental validity of other-rated personality scores, with these ratings accounting for an additional 8 to 20% of the overall variance in PD features. The other-rated FFM scores also accounted for more variance in consensus ratings of impairment in the domains of romance, work, and social relations.

Self- and peer perspectives on pathological personality traits and interpersonal problems.

This study compares the relationship between personality disorders and interpersonal problems as obtained by self-report and peer-report measures. Participants (N = 393) were administered self- and peer-report versions of the Peer Inventory for Personality Disorder and the Inventory of Interpersonal Problems-64. Canonical analyses demonstrated similar relationships between personality disorder features and interpersonal problems as measured by either self or peer. Analyses between self and peer found little shared variance across sources, indicating a large method variance. Results indicate that although similar constructs are identified by self and peers in their understanding of personality pathology and associated interpersonal problems, self-report information overlaps very little with information obtained from peers, underscoring the importance of obtaining multiple sources of information.

A social network analysis approach to alcohol use and co-occurring addictive behavior in young adults.

INTRODUCTION: The current study applied egocentric social network analysis (SNA) to investigate the prevalence of addictive behavior and co-occurring substance use in college students' networks. Specifically, we examined individuals' perceptions of the frequency of network members' co-occurring addictive behavior and investigated whether co-occurring addictive behavior is spread evenly throughout networks or is more localized in clusters. We also examined differences in network composition between individuals with varying levels of alcohol use. METHOD: The study utilized an egocentric SNA approach in which respondents ("egos") enumerated 30 of their closest friends, family members, co-workers, and significant others ("alters") and the relations among alters listed. Participants were 281 undergraduates at a large university in the Southeastern United States. RESULTS: Robust associations were observed among the frequencies of gambling, smoking, drinking, and using marijuana by network members. We also found that alters tended to cluster together into two distinct groups: one cluster moderate-to-high on co-occurring addictive behavior and the other low on co-occurring addictive behavior. Lastly, significant differences were present when examining egos' perceptions of alters' substance use between the networks of at-risk, light, and nondrinkers. CONCLUSIONS: These findings provide empirical evidence of distinct clustering of addictive behavior among young adults and suggest the promise of social network-based interventions for this cohort.

An examination of the perceptions of social network characteristics associated with grandiose and vulnerable narcissism.

Two dimensions of narcissism exist, grandiose and vulnerable, which are thought to be associated with distinctly different patterns of interpersonal behavior. Social network analysis is a way of quantifying and analyzing interpersonal interactions that may prove useful for characterizing the networks associated with these narcissism dimensions. In the current study, participants (N = 148) completed scales assessing both narcissism dimensions and a measure of the five-factor model of personality. Egocentric network information about participants' 30 closest friends and family members (i.e., "alters") was also obtained. Both narcissism dimensions were characterized by negative perceptions of the individuals who comprise one's social networks, and many of these relations were mediated by individuals' higher levels of antagonism. Grandiose narcissism also interacted with alter centrality (i.e., importance to the network) such that individuals low on grandiose narcissism were less likely to perceive central alters in a negative light and were more attuned to central alters than were individuals high on grandiose narcissism. Overall, both narcissism dimensions were associated with perceiving one's overall social environment negatively because of the high levels of antagonism that characterize both narcissism dimensions. Individuals high on grandiose narcissism, however, appear to be more insensitive to the relative importance of individuals in their social networks.

Egocentric social network analysis of pathological gambling.

AIMS: To apply social network analysis (SNA) to investigate whether frequency and severity of gambling problems were associated with different network characteristics among friends, family and co-workers is an innovative way to look at relationships among individuals; the current study was the first, to our knowledge, to apply SNA to gambling behaviors. DESIGN: Egocentric social network analysis was used to characterize formally the relationships between social network characteristics and gambling pathology. SETTING: Laboratory-based questionnaire and interview administration. PARTICIPANTS: Forty frequent gamblers (22 non-pathological gamblers, 18 pathological gamblers) were recruited from the community. MEASUREMENTS AND FINDINGS: The SNA revealed significant social network compositional differences between the two groups: pathological gamblers (PGs) had more gamblers, smokers and drinkers in their social networks than did non-pathological gamblers (NPGs). PGs had more individuals in their network with whom they personally gambled, smoked and drank than those with who were NPG. Network ties were closer to individuals in their networks who gambled, smoked and drank more frequently. Associations between gambling severity and structural network characteristics were not significant. CONCLUSIONS: Pathological gambling is associated with compositional but not structural differences in social networks. Pathological gamblers differ from non-pathological gamblers in the number of gamblers, smokers and drinkers in their social networks. Homophily within the networks also indicates that gamblers tend to be closer with other gamblers. This homophily may serve to reinforce addictive behaviors, and may suggest avenues for future study or intervention.

Brief report: The Brief Alcohol Social Density Assessment (BASDA): convergent, criterion-related, and incremental validity.

OBJECTIVE: Alcohol misuse is substantially influenced by social factors, but systematic assessments of social network drinking are typically lengthy. The goal of the present study was to provide further validation of a brief measure of social network alcohol use, the Brief Alcohol Social Density Assessment (BASDA), in a sample of emerging adults. Specifically, the study sought to examine the BASDA's convergent, criterion, and incremental validity in relation to well-established measures of drinking motives and problematic drinking. METHOD: Participants were 354 undergraduates who were assessed using the BASDA, the Alcohol Use Disorders Identification Test (AUDIT), and the Drinking Motives Questionnaire. RESULTS: Significant associations were observed between the BASDA index of alcohol-related social density and alcohol misuse, social motives, and conformity motives, supporting convergent validity. Criterion-related validity was supported by evidence that significantly greater alcohol involvement was present in the social networks of individuals scoring at or above an AUDIT score of 8, a validated criterion for hazardous drinking. Finally, the BASDA index was significantly associated with alcohol misuse above and beyond drinking motives in relation to AUDIT scores, supporting incremental validity. CONCLUSIONS: Taken together, these findings provide further support for the BASDA as an efficient measure of drinking in an individual's social network. Methodological considerations as well as recommendations for future investigations in this area are discussed.

Evidence for a single latent class of Diagnostic and Statistical Manual of Mental Disorders borderline personality pathology.

Borderline personality disorder (BPD) has been described as clinically heterogeneous, with numerous subtypes of the disorder posited. The present study investigated this potential heterogeneity by conducting both confirmatory factor analysis and latent class analysis of consensus ratings of Diagnostic and Statistical Manual of Mental Disorders (DSM) Revised Third Edition BPD criteria in a mixed clinical and nonclinical sample (n = 411). Confirmatory factor analysis results suggested that a single factor fit the data most parsimoniously. Latent class analysis results supported 2 latent classes: those with a high likelihood of BPD symptoms (n = 171) and those with a low likelihood (n = 240). The borderline latent class was more inclusive than diagnoses made based on DSM-III-R thresholds and improved prediction of symptom severity and interpersonal dysfunction, suggesting the clinical importance of 3 or more BPD criteria. Future research on subtypes of BPD may benefit by focusing on variables that supplement the DSM criteria.

Improving assessment of personality disorder traits through social network analysis.

When assessing personality disorder traits, not all judges make equally valid judgments of all targets. The present study uses social network analysis to investigate factors associated with reliability and validity in peer assessment. Participants were groups of military recruits (N=809) who acted as both targets and judges in a round-robin design. Participants completed self- and informant versions of the Multisource Assessment of Personality Pathology. Social network matrices were constructed based on reported acquaintance, and cohesive subgroups were identified. Judges who shared a mutual subgroup were more reliable and had higher self-peer agreement than those who did not. Partitioning networks into two subgroups achieved more consistent improvements than multiple subgroups. We discuss implications for multiple informant assessments.