Literature DB >> 32800458

Physical measures and biomarker collection in health surveys: Propensity to participate.

John Boyle1, Lewis Berman2, James Dayton3, Ronaldo Iachan4, Matt Jans5, Randy ZuWallack6.   

Abstract

Population-based surveys have long been a key tool for health researchers, policy makers and program managers. The addition of bio-measures, including physical measures and specimen collection, to self-reported health and health behaviors can increase the value of the research for health sciences. At the same time, these bio-measures are likely to increase the perceived burden and intrusiveness to the respondent. Relatively little research has been reported on respondent willingness to participate in surveys that involve physical measures and specimen collection and whether there is any associated non-response bias. This paper explores the willingness of respondents to participate in surveys that involve physical measures and biomarkers. A Census-balanced sample of nearly 2000 adults from a national mobile panel of persons residing in the U.S. were interviewed. Willingness to participate in six specific bio-measures was assessed. The survey finds a high correlation in the willingness of respondents to participate among these specific bio-measures. This suggests there is a general propensity towards (and against) bio-measures among potential respondents, despite some differences in willingness to participate in the more sensitive, intrusive or burdensome biomarkers. This study finds the general propensity to participate in bio-measures is correlated with a number of key measures of health and illness. This suggests that the inclusion of biomarkers in health surveys may introduce some bias in key measures that need to be balanced against the value of the additional information.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Year:  2020        PMID: 32800458     DOI: 10.1016/j.sapharm.2020.07.025

Source DB:  PubMed          Journal:  Res Social Adm Pharm        ISSN: 1551-7411


  2 in total

Review 1.  Blood-based biomarker in Parkinson's disease: potential for future applications in clinical research and practice.

Authors:  Lars Tönges; Carsten Buhmann; Stephan Klebe; Jochen Klucken; Eun Hae Kwon; Thomas Müller; David J Pedrosa; Nils Schröter; Peter Riederer; Paul Lingor
Journal:  J Neural Transm (Vienna)       Date:  2022-04-15       Impact factor: 3.850

2.  Recontacting biobank participants to collect lifestyle, behavioural and cognitive information via online questionnaires: lessons from a pilot study within FinnGen.

Authors:  Rodosthenis S Rodosthenous; Mari E K Niemi; Lila Kallio; Merja Perala; Perttu Terho; Theresa Knopp; Eero Punkka; Enni M Makkonen; Paula Nurmi; Johanna Makela; Pauli Wihuri; Marco Hautalahti; Corianna Moffatt; Paolo Martini; Laura Germine; Viola A Makela; Oona A Karhunen; Jari Lahti; Tero S Hiekkalinna; Tero Jyrhama; Huei-Yi Shen; Heiko Runz; Aarno Palotie; Markus Perola; Andrea Ganna
Journal:  BMJ Open       Date:  2022-10-05       Impact factor: 3.006

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.