Literature DB >> 16186164

Are there socioeconomic differences in responses to a commonly used self report measure of chronic illness?

Sally Macintyre1, Geoff Der, John Norrie.   

Abstract

BACKGROUND: Single questions on self-reported morbidity are commonly used in social or health surveys. It has been suggested that these may underestimate socioeconomic gradients in health because more disadvantaged social groups may have higher thresholds for defining illness. Method Face-to-face interviews by research nurses with community-based respondents in the West of Scotland, using a specially designed suite of prompts following up on responses to the UK General Household Survey (GHS) long-standing illness question. Participants were 858 respondents born in the early 1930s and 852 respondents born in the early 1950s (mean age at interview 59 and 40, respectively) classified by occupational social class and area deprivation.
RESULTS: Adjusted for age and sex, the Relative Index of Inequality (RII) for reporting any condition in response to the GHS question was 2.14 (95% CIs 1.49-3.08) for social class and 2.01 (1.41-2.87) for Depcat. Among those not reporting any conditions to the GHS question, the RII for reporting conditions to any further prompts was 1.54 (0.87-2.70) for social class and 0.86 (0.50-1.46) for Depcat. The RIIs for reporting any condition after the initial question and all prompts were 2.16 (1.40-3.33) for social class and 1.50 (0.98-2.29) for Depcat. Across a range of conditions defined as more serious, and conditions classified by different ICD categories, socioeconomic status (SES) gradients after the initial question and all prompts were similar to, or less steep than, those produced by the GHS question alone.
CONCLUSIONS: These data do not support the hypothesis that poorer social groups are more stoical and more likely to need detailed prompting in order to elicit morbidity. Nor do they support the hypothesis that SES gradients in morbidity are underestimated by using the GHS question rather than more detailed questioning. This suggests that responses to this type of question can be used in epidemiology and health needs assessment without major socioeconomic bias.

Entities:  

Mesh:

Year:  2005        PMID: 16186164     DOI: 10.1093/ije/dyi200

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  12 in total

1.  Key elements composing self-rated health in older adults: a comparative study of 11 European countries.

Authors:  Georgia Verropoulou
Journal:  Eur J Ageing       Date:  2009-08-07

2.  Subjective social status and trajectories of self-rated health status: a comparative analysis of Japan and the United States.

Authors:  Yoshimitsu Takahashi; Takeo Fujiwara; Takeo Nakayama; Ichiro Kawachi
Journal:  J Public Health (Oxf)       Date:  2018-12-01       Impact factor: 2.341

3.  Does self-rated health mean the same thing across socioeconomic groups? Evidence from biomarker data.

Authors:  Jennifer Beam Dowd; Anna Zajacova
Journal:  Ann Epidemiol       Date:  2010-10       Impact factor: 3.797

4.  Relationships of uterine and ovarian tumors to pre-existing chronic conditions.

Authors:  Louise A Brinton; Lori C Sakoda; Kirsten Frederiksen; Mark E Sherman; Susanne K Kjaer; Barry I Graubard; Jorgen H Olsen; Lene Mellemkjaer
Journal:  Gynecol Oncol       Date:  2007-09-07       Impact factor: 5.482

5.  The association between self-rated health and mortality in different socioeconomic groups in the GAZEL cohort study.

Authors:  Archana Singh-Manoux; Aline Dugravot; Martin J Shipley; Jane E Ferrie; Pekka Martikainen; Marcel Goldberg; Marie Zins
Journal:  Int J Epidemiol       Date:  2007-11-19       Impact factor: 7.196

6.  Differences between women's and men's socioeconomic inequalities in health: longitudinal analysis of the Canadian population, 1994-2003.

Authors:  S Luchenski; A Quesnel-Vallée; J Lynch
Journal:  J Epidemiol Community Health       Date:  2008-12       Impact factor: 3.710

7.  "Getting sicker quicker": does living in a more deprived neighbourhood mean your health deteriorates faster?

Authors:  Anne Ellaway; Michaela Benzeval; Michael Green; Alastair Leyland; Sally Macintyre
Journal:  Health Place       Date:  2011-08-12       Impact factor: 4.078

8.  Is there a "Scottish effect" for self reports of health? Individual level analysis of the 2001 UK census.

Authors:  Frank Popham
Journal:  BMC Public Health       Date:  2006-07-21       Impact factor: 3.295

9.  Educational inequalities in self-reported health in a general Iranian population.

Authors:  Ali Montazeri; Azita Goshtasebi; Mariam Vahdaninia
Journal:  BMC Res Notes       Date:  2008-07-21

10.  Social inequalities in self-rated health by age: cross-sectional study of 22,457 middle-aged men and women.

Authors:  Emily McFadden; Robert Luben; Sheila Bingham; Nicholas Wareham; Ann-Louise Kinmonth; Kay-Tee Khaw
Journal:  BMC Public Health       Date:  2008-07-08       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.