| HOME | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|---|
| ||||||||||||||||||||||||||||||||
Correspondence: Address correspondence to Dr. Nicola Spiers, Department of Epidemiology and Public Health, University of Leicester, 22-28 Princess Road West, Leicester, LE1 6TP, United Kingdom. E-mail: nas6{at}le.ac.uk
| Abstract |
|---|
|
|
|---|
; 95% confidence interval
2.13.5) than it was in women (
1.52.4). Women surveyed in 19931995 were more likely than men to report problems that were disabling but not life-threatening, whereas men were more likely to report potentially life-threatening problems. However, these differences did not explain the association of self-rated health with mortality. More than half of those who reported a potentially life-threatening problem said that their health was good.Implications:Self-rated health is more strongly associated with mortality in men, but this is unlikely to be explained by differences in the nature of their physical health problems.
Key Words: Aged Self-report Self-perceived health Cox regression
Women suffer more chronic problems in old age (e.g., Verbrugge, 1986; Waldron, 1983) and have greater prevalence of disability (Manton, 1988), whereas men have a higher incidence of life-threatening problems such as cancer and chronic heart disease. Benyamini, Leventhal, and Leventhal (2000) distinguish "serious medical conditions" that are associated with both less than good self-rated health and mortality from nonsevere illnesses that have little relation to mortality in those older than 65 years, but are associated with lower self-rated health. Dimensions of health that are unrelated to mortality have been thought to be more important constituents of self-rated health in women than in men (Jylhä, Guralnik, Ferrucci, Jokela, & Heikkinen, 1998). We investigate the hypothesis that among those in less than good self-rated health, there is higher prevalence in women of disabling illness that threatens quality rather than quantity of life, resulting in a weaker association of self-rated health with mortality in women.
The Melton Mowbray Ageing Project is an ongoing and longstanding survey of a total population aged 75 years and older, providing an opportunity to observe the self-rated healthmortality relationship in three cohorts aged 7581 surveyed in 1981, 1988, and 19931995. Additional information collected between 19931995 allowed us to examine gender differences in the prevalence of specific self-reported health problems and investigate their bearing upon the strength of the mortality and self-rated health association.
| Methods |
|---|
|
|
|---|
Since 1990, all those aged 75 years and older and registered with the practice have been offered a routine health assessment approximately every 18 months, carried out by a nurse in the patient's home. Full details of the assessments can be found elsewhere (Jagger, Clarke, O'Shea, & Gannon, 1996). The third wave of these assessments took place between 1993 and 1995 with the earliest Wave 3 assessment in November 1993 and the latest in November 1995. The practice catchment area is divided into geographical zones that were sampled in succession over the assessment period. We included in our analysis those in the sample who were alive and aged 7581 on December 31, 1994. The three surveys provided successive birth cohorts (born 18991905, 19061912, and 19131919) aged 7581 years when the survey took place.
Measures
We obtained fact and date of death from the National Health Service Central Registry. We assessed self-rated health by answers to the question "For your age, would you say that your health in general was good, fair or poor?" with responses dichotomized for analysis into good and fair or poor. Baseline sociodemographic variables included sex and whether the person was living alone. We defined activity restrictions as having difficulty performing alone, using help or aids, or not doing each of six activities of daily living (ADLs): (a) mobility around the home, (b) transfer to and from chair, (c) transfer to and from bed, (d) feeding, (e) dressing, and (f) bathing. We categorized physical function into good (able to perform all of the six activities without help from another person or appliance), moderate (able to perform all of the six activities without help from another person, but with help from an appliance in at least one activity), or poor (having difficulty, needing help from another person, or being unable to do at least one of the six activities).
We assessed cognitive function by the Information/Orientation (I/O) subtest of the Clifton Assessment Procedures for the Elderly (Pattie & Gilleard, 1979), a 12-item screen for cognitive impairment. Scores of 8 and under have been shown to correspond well to moderate or severe dementia (Jagger, Clarke, & Anderson, 1992). We restricted the range of health covariates for which we adjusted to those available at the time of the first survey, but also included urinary incontinence and difficulty hearing (hearing difficulty or impaired hearing, even with aid).
For the health assessments only, information was also available on 18 troublesome health problems, for example, weight loss, problems with chest or breathing, and cramps on walking. For each troublesome health problem in turn, we asked participants whether they had a problem, with further description being given by the nurse to aid understanding where requested.
Statistical Methods
First, we fitted Cox Proportional Hazards models for 4-year survival separately for the 1981 and 1988 and 19931995 cohorts. We measured time from date of interview to date of death, censored at 4 years from interview. We estimated gender differences in the self-rated healthmortality association by including an interaction term between gender and self-rated health. We repeated this process with adjustment for the following known predictors of mortality: (a) ADL dependency, (b) cognitive impairment, (c) urinary incontinence, (d) difficulty hearing, and (e) difficulty seeing. We checked the proportional hazards assumption by including time-varying covariates for all main effects in the model. We then tested for all two-way interactions between main effects. For significant interactions, we recorded the effect of including the interaction term upon the gender-specific risk ratios.
Second, we included responses from all cohorts in a single Cox model for 4-year survival. To account for improvements in mortality in the newer cohorts, we stratified the baseline hazard by cohort. This model makes minimal assumptions about changes in the age-specific hazard function across cohorts. We used it to assess evidence for a three-way interaction between cohort, self-rated health, and gender, and to derive gender-specific estimates of the self-rated healthmortality relationship aggregated across cohorts.
To investigate the role of self-reported physical health problems in accounting for the gender difference in the self-rated healthmortality relationship, we first ordered the health problems by strength of association with mortality, by using a Cox regression model for all participants in 19931995. We used two thresholds to classify problems as disabling or potentially life-threatening according to strength of association with mortality. We then classified participants as having no self-reported problem, having at least one disabling problem but no potentially life-threatening problem, or having a potentially life-threatening problem. Within these subgroups, we estimated the strength of the self-rated healthmortality relationship by gender.
| Results |
|---|
|
|
|---|
). At the second survey on December 31, 1987, we found 1,890 people from the register, but 139 (7%) died before interview, 76 (4%) were unable to be contacted, and 96 (5%) refused. Again, those interviewed in institutions did not rate their health, and we excluded them (4%,
). During the third sweep of health assessments, which took place between November 1993 and December 1995, we identified 2,010 people on the agesex register, of whom 48 (2%) died before they could be interviewed, 50 (2%) could not be contacted, and 330 (16%) refused the health assessment. For comparability, we excluded those interviewed in institutions (9%,
). We excluded a further 45 (2%) because they were aged less than 75 years on December 31, 1994. We interviewed the following numbers at home who were aged 7581 years at the date the cohort was defined: 823 in the 1981 cross-section, 995 in the 1988 cross-section, and 803 in the 19931995 health assessments. The cohorts we included in the analysis and the losses because of missing data are summarised in Table 1. For 19 individuals where values were missing for one only of the six ADLs, we calculated a reweighted score, based upon the five nonmissing responses.
|
|
Prevalence of troublesome physical health problems in the 19931995 cohort are shown in Table 3. The five most prevalent problems were severe joint pain or problems (39.4%), problems with chest or breathing (25.5%), problems with feet or cutting toenails (24.0%), blood pressure problems (19.3%), and very swollen ankles (13.7%). A Cox model was fitted to rank the problems according to strength of association with mortality. The 5 problems most closely associated with mortality, with hazard ratios greater than 1.5, were classified as potentially life threatening, and the remaining 12 problems were classified as disabling. We divided participants into three groups: (a) those who reported none of the 17 specific troublesome problems, (b) those who reported at least one specific disabling problem but no life-threatening problem, and (c) those who reported at least one life-threatening problem (Table 4). As expected, prevalence of disabling problems was greater among women (82.1% versus 72.9% reported at least one disabling problem), and prevalence of potentially life-threatening problems was greater among men (42.7% versus 32.1% reported at least one life-threatening problem).
|
|
If type of problem accounts for the gender difference in the ability of self-rated health to predict mortality, then we would expect to see a reduced gender gap within the categories for this variable. In fact, among those with disabling problems only, the gender gap remained large, with self-rated health being strongly related to mortality among men, but a much weaker association for women. Among those with a life-threatening problem, self-rated health was only weakly associated with mortality for both genders. More than half (55.5%) of those who reported a potentially life-threatening problem also said that their health was good. Because the threshold for a life-threatening problem was chosen arbitrarily, the analysis was repeated, with the eight problems most closely associated with mortality classified as life threatening. The conclusions remained unchanged.
| Discussion |
|---|
|
|
|---|
There are some further limitations arising partly from the age of the study. The range of health covariates allowed for is quite restricted, and there is a change of study design to take into account, with the 19931995 cohort being drawn from a continuous program of health assessments rather than a cross-sectional survey. This is reflected in the lower figures for deaths and noncontacts, and higher figure for refusals in the 19931995 cohort. In this population, older people who decline a health assessment have been shown to have similar functional status, but lower consultation rates, better self-rated health and higher morale, compared with those taking part (Jagger et al., 1996). There may be some bias in the results for 19931995 because of lower take-up among those with good self-rated health, but given that response rates are similar for men and women, serious bias is unlikely.
The findings add to the balance of studies of those aged 75 years and older pointing to a stronger association of self-rated health with survival for men, but factors accounting for this gender difference remain unclear. We hypothesized that self-rated health was less strongly associated with mortality in older women, because they suffer disproportionately from problems that threaten quality rather than quantity of life. However, the data on self-reported conditions in 19931995 provide scant support for this hypothesis.
Type of problem reported does not account for the gender difference in the self-rated healthmortality association, as the gender difference persists among the majority who have disabling but no life-threatening problems. This is unlikely to be explained by men's underreporting of life-threatening problems, as a greater prevalence of life-threatening problems is observed in men.
Alternative explanations for the gender difference lie at the boundaries of the list of self-reported health problems. Although the list is nonstandard, symptoms that indicate the most common serious physical conditions in this age group are covered. A possible exception is genitourinary symptoms, but incontinence of urine is allowed for in the analysis. However, severity of problem and diagnosis are also omitted. Benyamini, Leventhal, and Leventhal (2000) categorized diseases as mild or severe and used a scale based on medical history that included measures of severity, but even so they found that allowing for differences in severity of mild and serious diseases had little or no bearing on the gender difference in the self-rated healthmortality relationship. However, the severity assessments were carried out by medical internists on the basis of reported conditions and may have only partially captured more subjective aspects of severity, such as pain and threat to future activities.
A further aspect of health that we do not include in the present analysis is psychosocial functioning. Qualitative research on self-rated health has shown that people may draw on broader aspects of health in addition to physical problems and functioning when rating their health (Jylhä, 1996; Krause & Jay, 1994). Although a measure of restrictiveness and/or inclusiveness of health definition has been developed (Idler, Hudson, & Leventhal, 1999), gender differences in inclusiveness have yet to be explored. However, a measure aggregating fatigue, anxiety, and depression accounted for the gender difference in the self-rated healthmortality association in the Rutgers Ageing and Health Study (Benyamini, Leventhal, & Leventhal, 2000).
The classification of self-reported problems as life threatening or disabling was developed on the present population, although the problems identified indicate cancer, stroke, diabetes, and respiratory problems, reflecting the leading causes of death in those aged 65 and older in the United Kingdom, with the exception of acute myocardial infarction (U.K. National Statistics, 1999). In the absence of replication in other populations, conclusions from the analysis by type of problem in Table 4 must be tentative. Neverthless, the weakness of the self-rated healthmortality association in the subgroup who reported a life-threatening problem is of interest, given the moderate prevalence of less than good health in this group. Reflecting on qualitative data, Jylhä (1996) argues that "elements incorporated into the concept of health may change quite radically when the individual falls ill" (p. 990). A subgroup of health optimists, who maintain good self-rated health in the face of poor medical ratings has long been recognized (Maddox, 1962). These data emphasize that less than good self-rated health is an imperfect indicator of the presence of threatening symptoms. However, the finding in other studies (Borawski, Kinney, & Kahana, 1996; Chipperfield, 1993) that health optimists have significantly improved survival compared with realists in poor health who rate their health accordingly, is only weakly supported here.
The findings provide further evidence for the hypothesis that self-rated health is a better predictor of survival in men than in women. They suggest that reasons to account for this gender difference are more likely to be found in variation in the definitions that individuals call upon when rating their health, than in differences in the burden of physical morbidity. Although self-rated health remains a useful population health summary, more work is necessary to clarify its interpretation in subgroups suffering from serious ill health.
| Footnotes |
|---|
1 Department of Epidemiology and Public Health, University of Leicester, UK. ![]()
2 School of Nursing, University of Nottingham, Queen's Medical Centre, UK. ![]()
Decision Editor: Laurence G. Branch, PhD
Received for publication November 20, 2001. Accepted for publication April 15, 2002.
| References |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
A. Bowling and E. Grundy Differentials in mortality up to 20 years after baseline interview among older people in East London and Essex Age Ageing, January 1, 2009; 38(1): 51 - 55. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Singh-Manoux, A. Gueguen, J. Ferrie, M. Shipley, P. Martikainen, S. Bonenfant, M. Goldberg, and M. Marmot Gender Differences in the Association Between Morbidity and Mortality Among Middle-Aged Men and Women Am J Public Health, December 1, 2008; 98(12): 2251 - 2257. [Abstract] [Full Text] [PDF] |
||||
![]() |
A Bowling and J Windsor The effects of question order and response-choice on self-rated health status in the English Longitudinal Study of Ageing (ELSA) J Epidemiol Community Health, January 1, 2008; 62(1): 81 - 85. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Huisman, F. van Lenthe, and J. Mackenbach The predictive ability of self-assessed health for mortality in different educational groups Int. J. Epidemiol., December 1, 2007; 36(6): 1207 - 1213. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Singh-Manoux, A. Dugravot, M. J Shipley, J. E Ferrie, P. Martikainen, M. Goldberg, and M. Zins The association between self-rated health and mortality in different socioeconomic groups in the GAZEL cohort study Int. J. Epidemiol., December 1, 2007; 36(6): 1222 - 1228. [Abstract] [Full Text] [PDF] |
||||
![]() |
S.-T. Cheng, H. Fung, and A. Chan Maintaining Self-Rated Health Through Social Comparison in Old Age J. Gerontol. B. Psychol. Sci. Soc. Sci., September 1, 2007; 62(5): P277 - P285. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Singh-Manoux, A. Gueguen, P. Martikainen, J. Ferrie, M. Marmot, and M. Shipley Self-Rated Health and Mortality: Short- and Long-Term Associations in the Whitehall II Study Psychosom Med, February 1, 2007; 69(2): 138 - 143. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Han, C. Phillips, L. Ferrucci, K. Bandeen-Roche, M. Jylha, J. Kasper, and J. M. Guralnik Change in Self-Rated Health and Mortality Among Community-Dwelling Disabled Older Women Gerontologist, April 1, 2005; 45(2): 216 - 221. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. J. H. Deeg and P. A. Bath Self-Rated Health, Gender, and Mortality in Older Persons: Introduction to a Special Section Gerontologist, June 1, 2003; 43(3): 369 - 371. [Full Text] [PDF] |
||||
![]() |
E. L. Idler Discussion: Gender Differences in Self-Rated Health, in Mortality, and in the Relationship Between the Two Gerontologist, June 1, 2003; 43(3): 372 - 375. [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||
| HOME | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|---|