Does Self-reported Health Bias the Measurement of Health Inequalities in U.S. Adults? Evidence Using Anchoring Vignettes From the Health and Retirement Study

Dowd, Jennifer Beam; Todd, Megan

doi:10.1093/geronb/gbr050

Cited by 130 publications

(107 citation statements)

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“…322,[330][331][332][333] Clinical assessments can also be influenced by patients' characteristics; for instance, fat mass and bony structure affect the reliability and validity of extremity measurements, 334 while age and vulnerability may influence communication with health professionals or interviewers. 335 Performance testing may not always assess ADL of relevance to an individual and may not take into account environmental or behavioural adaptations.…”

Section: Discussionmentioning

confidence: 99%

Improving patients’ experience and outcome of total joint replacement: the RESTORE programme

Blom

Artz

Beswick

et al. 2016

Programme Grants Appl Res

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms PROGRAMME GRANTS FOR APPLIED RESEARCH VOLUME 4 ISSUE 12 AUGUST 2016 ISSN 2050 DOI 10.3310/pgfar04120Improving patients' experience and outcome of total joint replacement: the RESTORE programme Ashley W Blom, Neil Artz, Andrew D Beswick, Amanda Burston, Paul Dieppe, Karen T Elvers, Rachael Gooberman-Hill, Jeremy Horwood, Paul Jepson, Emma Johnson, Erik Lenguerrand, Elsa Marques, Sian Noble, Mark Pyke, Catherine Sackley, Gina Sands, Adrian Sayers, Victoria Wells and Vikki Wylde Improving patients' experience and outcome of total joint replacement: the RESTORE programme ISSN 2050-4330 (Online) This journal is a member of and subscribes to the principles of the Committee on Publication Ethics (COPE) (www.publicationethics.org/).Editorial contact: nihredit@southampton.ac.ukThe full PGfAR archive is freely available to view online at www.journalslibrary.nihr.ac.uk/pgfar. Print-on-demand copies can be purchased from the report pages of the NIHR Journals Library website: www.journalslibrary.nihr.ac.uk Criteria for inclusion in the Programme Grants for Applied Research journalReports are published in Programme Grants for Applied Research (PGfAR) if (1) they have resulted from work for the PGfAR programme, and (2) they are of a sufficiently high scientific quality as assessed by the reviewers and editors. Programme Grants for Applied Research programmeThe Programme Grants for Applied Research (PGfAR) programme, part of the National Institute for Health Research (NIHR), was set up in 2006 to produce independent research findings that will have practical application for the benefit of patients and the NHS in the relatively near future. The Programme is managed by the NIHR Central Commissioning Facility (CCF) with strategic input from the Programme Director.The programme is a national response mode funding scheme that aims to provide evidence to improve health outcomes in England through promotion of health, prevention of ill health, and optimal disease management (including safety and quality), with particular emphasis on conditions causing significant disease burden.For more information about the PGfAR programme please visit the website: http://www.nihr.ac.uk/funding/programme-grants-forapplied-research.htm This reportThe research reported in this issue of the journal was funded by PGfAR as project number RP-PG-0407-10070. The contractual start date was in December 2008. The final report began editorial review in September 2014 and was accepted for publication in August 2015. As the funder, the PGfAR programme agreed the research questions and study designs in advance with the investigators. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The PGfAR editors and production house have tried to ensure the accurac...

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Section: Discussionmentioning

confidence: 99%

Improving patients’ experience and outcome of total joint replacement: the RESTORE programme

Blom

Artz

Beswick

et al. 2016

Programme Grants Appl Res

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“…African Americans and Hispanic Americans might have underestimated their sleep problems. One recent study, for example, revealed that African and Hispanic respondents were relatively optimistic in their ratings than Whites [41]. Studies that deploy objective measures of sleep behavior and sleep quality may overcome limitations associated with reliance on self-reported sleep measures.…”

Section: Discussionmentioning

confidence: 99%

Associations of allostatic load with sleep apnea, insomnia, short sleep duration, and other sleep disturbances: findings from the National Health and Nutrition Examination Survey 2005 to 2008

Chen

Redline

Shields

et al. 2014

Annals of Epidemiology

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Purpose To examine whether allostatic load (AL), a measure of cumulative physiologic dysregulation across biological systems, was associated with sleep apnea, insomnia, and other sleep disturbances. Methods Data from the National Health and Nutrition Examination Survey 2005-2008 were used. AL was measured using nine biomarkers representing cardiovascular, inflammatory, and metabolic system functioning. A total of 7,726 US adults aged 18 years and older were included in this study. Results The prevalence of high AL (AL score ≥3) was the highest among African Americans (25.2%), followed by Hispanic Americans (21.0%), Whites (18.8%), and other racial/ethnic group (16.5%). After adjustment for sociodemographic and lifestyle factors and depression status, high AL was significantly associated with sleep apnea (odds ratio (OR)=1.49, 95% confidence interval (CI): 1.14-1.95), snoring (1.65, 95% CI: 1.41-1.93), snorting/stop breathing (OR=1.62, 95% CI: 1.25-2.10), prolonged sleep latency (OR=1.33, 95% CI: 1.13-1.56), short sleep duration (<6 hours) (OR=1.29, 95% CI: 1.04-1.61), and diagnosed sleep disorder (OR=1.85, 95% CI: 1.53-2.24). There was no clear evidence that observed associations varied by sociodemographic characteristics or depression status. Conclusions This study suggests significant associations of high AL with sleep apnea, sleep apnea symptoms, insomnia component, short sleep duration, and diagnosed sleep disorder among US adults.

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“…describe differences across groups in, for example, the types and scope of health factors considered, the reference groups used in comparisons, definitions of health, interpretation and use of the response scale, and interpretation of other aspects of the survey question (Jylhä 2009). Aspects of this phenomenon have also been referred to as "reporting differences" (Burgard and Chen 2014), "reporting heterogeneity" (Lindeboom and van Doorslaer 2004;Dowd and Todd 2011;Dowd 2012), or "differential item functioning" (Grol-Prokopczyk, Freese, and Hauser 2011). Evidence for differences in evaluative frameworks across social groups is found in studies that highlight differences in SRH across groups among individuals that are otherwise similarly situated with respect to health factors, or differences in health outcomes (including mortality) across groups among individuals with similar SRH ratings.…”

Section: Socialmentioning

confidence: 99%

Research in and Prospects for the Measurement of Health Using Self-Rated Health

Garbarski¹

2016

PUBOPQ

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Self-rated health (SRH)-for example, "in general would you say your health is excellent, very good, good, fair, or poor?"-is the most widely used measure of health across a range of survey research studies. This paper synthesizes extant research and provides a framework for future research on the measurement of health using SRH, focusing on four interrelated topics: the factors that influence respondents' health ratings, the survey measurement features of SRH, how SRH answers are analyzed, and the stated purpose of SRH as a proxy for more objective health or as a perception of health.Extant research on the health, psychological, and social factors influencing respondents' SRH answers is reviewed, as is research concerned with the survey measurement features of SRH that influence how respondents rate their health. The synthesis proposes a framework for future research that focuses on further explicating the factors that underlie respondents' SRH answers and improving features of SRH measurement and analysis in ways that are consistent with the various goals of the researchers who both collect and analyze the data.

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Does Self-reported Health Bias the Measurement of Health Inequalities in U.S. Adults? Evidence Using Anchoring Vignettes From the Health and Retirement Study

Cited by 130 publications

References 55 publications

Improving patients’ experience and outcome of total joint replacement: the RESTORE programme

Improving patients’ experience and outcome of total joint replacement: the RESTORE programme

Associations of allostatic load with sleep apnea, insomnia, short sleep duration, and other sleep disturbances: findings from the National Health and Nutrition Examination Survey 2005 to 2008

Research in and Prospects for the Measurement of Health Using Self-Rated Health

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