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Extent and implications of omitted ties on network measures in a longitudinal social network survey of people who use drugs.
Upton, Elizabeth M; Rudolph, Abby E; Ward, Patrick J; Havens, Jennifer R; Young, April M.
Affiliation
  • Upton EM; Department of Mathematics and Statistics, Williams College, Williamstown, MA, USA. Electronic address: emu1@williams.edu.
  • Rudolph AE; Department of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA, USA.
  • Ward PJ; Department of Epidemiology, University of Kentucky College of Public Health, Lexington, KY, USA; Department of Biostatistics, UNC-Chapel Hill, Chapel Hill, NC, USA.
  • Havens JR; Center on Drug and Alcohol Research, Department of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, USA.
  • Young AM; Department of Epidemiology, University of Kentucky College of Public Health, Lexington, KY, USA; Center on Drug and Alcohol Research, Department of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, USA.
Drug Alcohol Depend ; 238: 109554, 2022 09 01.
Article in En | MEDLINE | ID: mdl-35850026
ABSTRACT

BACKGROUND:

Previous research has revealed under-reporting of personal network members (i.e., alters) in studies involving people who use drugs (PWUD). This analysis (1) characterizes relationships that were more likely to be omitted but later recalled with prompting and (2) identifies network structural characteristics most impacted by these omissions among a sample of PWUD in rural Appalachian Kentucky, an epicenter of the opioid epidemic.

METHODS:

Data were collected through longitudinal assessments as part of the Social Networks Among Appalachian People (SNAP) study (2008-2017). Study participants completed interviewer-administered questionnaires that collected social network data via free-listing at baseline and six-month intervals. At visit 5, after free-listing, interviewers prompted participants with the names of previously reported alters. We used modified Poisson regression with generalized estimating equations to identify individual- and relationship-level characteristics associated with an alter being reported only after prompting. We examined the impact of including vs. excluding relationships reported after prompting on local and global sociometric network measures (i.e., betweenness centrality, bridging, density, mean degree, transitivity, cliques, and 2-cores).

RESULTS:

Relationships reported only after prompting were more likely to be immediate family (Adjusted Prevalence Ratio [APR]1.29; 95% Confidence Interval [CI] 1.03-1.63) and less likely to involve sex (APR0.54; 95% CI 0.43-0.67). Considerable differences were observed for participant positional rankings of betweenness centrality and bridging, and differences in network density and average degree pre- and post-prompting were statistically significant.

CONCLUSION:

Longitudinal network studies that aim to assess transmission dynamics, information diffusion, or peer influence should consider the effects of omitted relationships.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rural Population / Social Networking Type of study: Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limits: Humans Country/Region as subject: America do norte Language: En Journal: Drug Alcohol Depend Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rural Population / Social Networking Type of study: Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limits: Humans Country/Region as subject: America do norte Language: En Journal: Drug Alcohol Depend Year: 2022 Document type: Article