Dataset Information

Utility of digital Respondent Driven Sampling to recruit community-dwelling emerging adults for assessment of drinking and related risks.

ABSTRACT: INTRODUCTION:Emerging adulthood often entails heightened risk-taking, including risky drinking, and research is needed to guide intervention development and delivery. This study adapted Respondent Driven Sampling, a peer-driven recruitment method, to a digital platform (d-RDS) and evaluated its utility to recruit community-dwelling emerging adult (EA) risky drinkers, who are under-served and more difficult to reach for assessment and intervention than their college student peers. MATERIALS AND METHODS:Community-dwelling EA risky drinkers (N = 357) were recruited using d-RDS (M age = 23.6 years, 64.0% women). Peers recruited peers in an iterative fashion. Participants completed a web-based cross-sectional survey of drinking practices and problems and associated risk and protective factors. RESULTS:d-RDS successfully recruited EA risky drinkers. On average, the sample reported recent drinking exceeding low-risk drinking guidelines and 8.80 negative consequences in the past three months. Compared to age-matched respondents from the representative U.S. National Survey on Drug Use and Health, the sample reported more past month drinking days and more drinks consumed per drinking day (ps < 0.001). At higher consumption levels, predicted positive associations were found with lower education and receipt of public assistance. CONCLUSIONS:Results supported the utility of d-RDS as a sampling method and grassroots platform for research and intervention with community-dwelling EA drinkers who are harder to reach than traditional college students. The study provides a method and lays an empirical foundation for extending efficacious alcohol brief interventions with college drinkers to this underserved population.

SUBMITTER: Tucker JA

PROVIDER: S-EPMC7329684 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Utility of digital Respondent Driven Sampling to recruit community-dwelling emerging adults for assessment of drinking and related risks.

Tucker Jalie A JA Bacon Joseph P JP Chandler Susan D SD Lindstrom Katie K Cheong JeeWon J

Addictive behaviors 20200702

<h4>Introduction</h4>Emerging adulthood often entails heightened risk-taking, including risky drinking, and research is needed to guide intervention development and delivery. This study adapted Respondent Driven Sampling, a peer-driven recruitment method, to a digital platform (d-RDS) and evaluated its utility to recruit community-dwelling emerging adult (EA) risky drinkers, who are under-served and more difficult to reach for assessment and intervention than their college student peers.<h4>Mate ...[more]

PMID: 32711287

Similar Datasets

Project description:Respondent-driven sampling is a novel variant of link-tracing sampling for estimating the characteristics of hard-to-reach groups, such as HIV prevalence in sex workers. Despite its use by leading health organizations, the performance of this method in realistic situations is still largely unknown. We evaluated respondent-driven sampling by comparing estimates from a respondent-driven sampling survey with total population data.Total population data on age, tribe, religion, socioeconomic status, sexual activity, and HIV status were available on a population of 2402 male household heads from an open cohort in rural Uganda. A respondent-driven sampling (RDS) survey was carried out in this population, using current methods of sampling (RDS sample) and statistical inference (RDS estimates). Analyses were carried out for the full RDS sample and then repeated for the first 250 recruits (small sample).We recruited 927 household heads. Full and small RDS samples were largely representative of the total population, but both samples underrepresented men who were younger, of higher socioeconomic status, and with unknown sexual activity and HIV status. Respondent-driven sampling statistical inference methods failed to reduce these biases. Only 31%-37% (depending on method and sample size) of RDS estimates were closer to the true population proportions than the RDS sample proportions. Only 50%-74% of respondent-driven sampling bootstrap 95% confidence intervals included the population proportion.Respondent-driven sampling produced a generally representative sample of this well-connected nonhidden population. However, current respondent-driven sampling inference methods failed to reduce bias when it occurred. Whether the data required to remove bias and measure precision can be collected in a respondent-driven sampling survey is unresolved. Respondent-driven sampling should be regarded as a (potentially superior) form of convenience sampling method, and caution is required when interpreting findings based on the sampling method.

Dataset Information

Utility of digital Respondent Driven Sampling to recruit community-dwelling emerging adults for assessment of drinking and related risks.

Publications

Utility of digital Respondent Driven Sampling to recruit community-dwelling emerging adults for assessment of drinking and related risks.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets