Literature DB >> 10048840

Do women 'over-report' morbidity? Men's and women's responses to structured prompting on a standard question on long standing illness.

S Macintyre1, G Ford, K Hunt.   

Abstract

It is frequently observed in contemporary industrialised societies that although women live longer than men, they are sicker than men in that they report higher rates of morbidity, disability and health care use. One common element of the explanation for women's higher rates of morbidity is that there are gender differences in the way that symptoms are perceived, evaluated and acted upon. It is widely assumed that women will be more ready to report illness and to seek help and that they have greater flexibility in their lives to accommodate illness. The few studies that have examined men and women with the same conditions or symptoms are contradictory, but lend little support to this hypothesised greater propensity, yet it is still widely believed. Here we compare men's and women's answers to a global, commonly used question about chronic illness and to a series of more specific prompts and classify the conditions reported by an externally defined categorisation of severity and International Classification of Disease chapter. Contrary to the common expectation that women report higher rates of morbidity and are more ready to report mental health problems, we found: no gender differences in the initial reporting of conditions; men reported a higher proportion of their conditions in response to the initial global question; and no evidence that women were more likely to report 'trivial' or mental health conditions in response to the initial question.

Entities:  

Mesh:

Year:  1999        PMID: 10048840     DOI: 10.1016/s0277-9536(98)00292-5

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  42 in total

1.  Using anchoring vignettes to assess group differences in general self-rated health.

Authors:  Hanna Grol-Prokopczyk; Jeremy Freese; Robert M Hauser
Journal:  J Health Soc Behav       Date:  2011-06

2.  Assessment of response shift using two structural equation modeling techniques.

Authors:  Pranav K Gandhi; L Douglas Ried; I-Chan Huang; Carole L Kimberlin; Teresa L Kauf
Journal:  Qual Life Res       Date:  2012-04-05       Impact factor: 4.147

3.  Reporting Heterogeneity and Health Disparities Across Gender and Education Levels: Evidence From Four Countries.

Authors:  Teresa Molina
Journal:  Demography       Date:  2016-04

4.  Gender differences in health and health expectancies of older adults in Singapore: an examination of diseases, impairments, and functional disabilities.

Authors:  Vanessa Yong; Yasuhiko Saito; Angelique Chan
Journal:  J Cross Cult Gerontol       Date:  2011-06

5.  Gender differences in health: results from SHARE, ELSA and HRS.

Authors:  Eileen M Crimmins; Jung Ki Kim; Aïda Solé-Auró
Journal:  Eur J Public Health       Date:  2010-03-17       Impact factor: 3.367

6.  Influence of explanatory and confounding variables on HRQoL after controlling for measurement bias and response shift in measurement.

Authors:  Pranav K Gandhi; L Douglas Ried; Carole L Kimberlin; Teresa L Kauf; I-Chan Huang
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2013-12       Impact factor: 2.217

7.  Is perceived nervousness and anxiety a predictor of premature mortality and severe morbidity? A longitudinal follow up of the Swedish survey of living conditions.

Authors:  Gunilla Ringbäck Weitoft; Måns Rosén
Journal:  J Epidemiol Community Health       Date:  2005-09       Impact factor: 3.710

8.  Managing multiple morbidity in mid-life: a qualitative study of attitudes to drug use.

Authors:  Anne Townsend; Kate Hunt; Sally Wyke
Journal:  BMJ       Date:  2003-10-11

9.  Overall and health related quality of life among the oldest old in pain.

Authors:  Ulf Jakobsson; Ingalill Rahm Hallberg; Albert Westergren
Journal:  Qual Life Res       Date:  2004-02       Impact factor: 4.147

10.  Satisfaction with care after total hip or knee replacement predicts self-perceived health status after surgery.

Authors:  Cédric Baumann; Anne Christine Rat; Georges Osnowycz; Didier Mainard; Christian Cuny; Francis Guillemin
Journal:  BMC Musculoskelet Disord       Date:  2009-12-03       Impact factor: 2.362

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.