Evidence map›Paper›PMID 27566912›Full record

ReviewAnnals of epidemiology2016

The validity of self-reported behaviors: methods for estimating underreporting of risk behaviors.

Marlena S Norwood, James P Hughes, K Rivet Amico

Abstract readReview
In one paragraph

Review 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Association between State-Level Structural Racism and Alcohol and Tobacco Use Behaviors among a National Probability Sample of Black Americans.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Ideal cardiovascular health at age 5-6 years and cardiometabolic outcomes in preadolescence.The international journal of behavioral nutrition and physical activity · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Marlena S NorwoodDepartment of Biostatistics, University of Washington, Seattle.
James P HughesDepartment of Biostatistics, University of Washington, Seattle; Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA. Electronic address: jphughes@uw.edu.
K Rivet AmicoDepartment of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor.

Funding

STATISTICAL ISSUES IN AIDS RESEARCHR37AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI JAMES P HUGHES · 1999 to 2026
$9.8M
STATISTICAL ISSUES IN AIDS RESEARCHR01AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI HUGHES, JAMES P · 1989 to 2018
$5.3M
Women's Life Events & HIV Transmission Potential: A Multidisciplinary StudyR01HD072617 · NICHD · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, RAYMOND SCOTT · 2012 to 2016
$2.1M
NIAID NIH HHS R01 AI029168NIAID NIH HHS R37 AI029168NICHD NIH HHS R01 HD072617
6 · The paper itself

Abstract

purposeWhen individuals underreport risk behaviors, data gathered from public health research and practice will underestimate risk. To date, there is little guidance on if or how reports can be adjusted to better reflect true levels of a risk behavior in a given cohort, sample or, by extension, population.

methodsWe develop the underreporting correction factor (UCF), which can be used to correct estimates of the prevalence of a risk behavior using self-report of the behavior and a specific (but not necessarily sensitive) biomarker. The UCF rests on three assumptions: (1) there is no overreporting of the behavior, (2) the biomarker can only be acquired if the person engages in the behavior, and (3) the presence of the biomarker does not affect reporting of the behavior. We investigate the sensitivity of the UCF to violation of these assumptions and develop confidence intervals for the UCF and the corrected prevalence of the behavior.

resultsThe UCF is most sensitive to the second assumption (biomarker perfectly specific). We apply the UCF to estimates of sexual risk behaviors in various settings using a variety of biomarkers.

conclusionsImplementation of the UCF corrects for underreporting and more accurately quantifies risk in cohorts.

Indexed as

Epidemiologic MethodsRisk-TakingSelf ReportFemaleHumansMaleReproducibility of ResultsSexual BehaviorSexually Transmitted DiseasesHIVRisk behaviorsSelf-reported behaviorsSexual behaviorsSexually transmitted infections

Identifiers

PMID27566912
PMCPMC5035638

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.