ArticleAnnals of epidemiology2016
Accuracy of name and age data provided about network members in a social network study of people who use drugs: implications for constructing sociometric networks.
Article in Annals of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 22 citations in OpenAlex.
- Predicting social network homophily on common chronic disease risk behaviors among public housing residents.BMC public health · 2025Article
- Modelling Predictors of Homophily on Perceived Oral Health Status Among Social Network Ties in a Population of Public Housing Residents.Community dentistry and oral epidemiology · 2025Article
- Examining the social and behavioral dynamics of substance use in a longitudinal network study in rural Appalachia.Addictive behaviors · 2024Article
- Methods for Assessing Spillover in Network-Based Studies of HIV/AIDS Prevention among People Who Use Drugs.Pathogens (Basel, Switzerland) · 2023Article
- Health-based homophily in public housing developments.BMC public health · 2023Article
- Extent and implications of omitted ties on network measures in a longitudinal social network survey of people who use drugs.Drug and alcohol dependence · 2022Article
- Article
- Privacy and Confidentiality Considerations for Collecting HIV Risk Network Data among Men who Have Sex with Men and Implications for Constructing Valid Risk Networks.Social networks · 2021Article
- Peer influence of injection drug use cessation among dyads in rural eastern Kentucky.The International journal on drug policy · 2020Article
- The Social Context of HIV Prevention and Care among Black Men Who Have Sex with Men in Three U.S. Cities: The Neighborhoods and Networks (N2) Cohort Study.International journal of environmental research and public health · 2019Article
- Using Network and Spatial Data to Better Target Overdose Prevention Strategies in Rural Appalachia.Journal of urban health : bulletin of the New York Academy of Medicine · 2019Article
- Empirical evidence of recruitment bias in a network study of people who inject drugs.The American journal of drug and alcohol abuse · 2019Article
- Overlooked Threats to Respondent Driven Sampling Estimators: Peer Recruitment Reality, Degree Measures, and Random Selection Assumption.AIDS and behavior · 2018Article
- Statistical adjustment of network degree in respondent-driven sampling estimators: venue attendance as a proxy for network size among young MSM.Social networks · 2018Article
- A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks.Scientific reports · 2018Article
- Network Research Experiences in New York and Eastern Europe: Lessons for the Southern US in Understanding HIV Transmission Dynamics.Current HIV/AIDS reports · 2018Review
- Social connectedness is associated with food security among peri-urban Peruvian Amazonian communities.SSM - population health · 2018Article
- Network-Based Research on Rural Opioid Use: an Overview of Methods and Lessons Learned.Current HIV/AIDS reports · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
purposeNetwork analysis has become increasingly popular in epidemiologic research, but the accuracy of data key to constructing risk networks is largely unknown. Using network data from people who use drugs (PWUDs), the study examined how accurately PWUD reported their network members' (i.e., alters') names and ages.
methodsData were collected from 2008 to 2010 from 503 PWUD residing in rural Appalachia. Network ties (n = 897) involved recent (past 6 months) sex, drug cousage, and/or social support. Participants provided alters' names, ages, and relationship-level characteristics; these data were cross-referenced to that of other participants to identify participant-participant relationships and to determine the accuracy of reported ages (years) and names (binary).
resultsParticipants gave alters' exact names and ages within two years in 75% and 79% of relationships, respectively. Accurate name was more common in relationships that were reciprocally reported and those involving social support and male alters. Age was more accurate in reciprocal ties and those characterized by kinship, sexual partnership, recruitment referral, and financial support, and less accurate for ties with older alters.
conclusionsMost participants reported alters' characteristics accurately, and name accuracy was not significantly different in relationships involving drug-related and/or sexual behavior compared to those not involving these behaviors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.