Causes and consequences of comorbidity

Gijsen, R; Hoeymans, Nancy; Schellevis, François G.; Ruwaard, Dirk; Satariano, William A.; Bos, G.A.M. van den

doi:10.1016/s0895-4356(00)00363-2

Cited by 833 publications

(700 citation statements)

References 99 publications

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“…Younger cohorts in developed countries tend to live longer, whereas the time of serious morbidity and especially disability is increasingly getting compressed into the last years of life [30-32]. Somewhat contradictory, the prevalence of middle aged and especially elderly persons diagnosed with (and treated for) multiple chronic conditions has substantially increased at the same time [33,34], and multiple chronic conditions are associated with substantial excess health care expenditures [35,36]. Due to better medical treatment these patients may be suffering from disability to a lower degree.…”

Section: Discussionmentioning

confidence: 99%

Health status of the advanced elderly in six european countries: results from a representative survey using EQ-5D and SF-12

König

Heider

Lehnert

et al. 2010

Health Qual Life Outcomes

109

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Background Due to demographic change, the advanced elderly represent the fastest growing population group in Europe. Health problems tend to be frequent and increasing with age within this cohort. Aims of the study To describe and compare health status of the elderly population in six European countries and to analyze the impact of socio-demographic variables on health. Methods In the European Study of the Epidemiology of Mental Disorders (ESEMeD), representative non-institutionalized population samples completed the EQ-5D and Short Form-12 (SF-12) questionnaires as part of personal computer-based home interviews in 2001-2003. This study is based on a subsample of 1659 respondents aged ≥ 75 years from Belgium (n = 194), France (n = 168), Germany (n = 244), Italy (n = 317), the Netherlands (n = 164) and Spain (n = 572). Descriptive statistics, bivariate- (chi-square tests) and multivariate methods (linear regressions) were used to examine differences in population health. Results 68.8% of respondents reported problems in one or more EQ-5D dimensions, most frequently pain/discomfort (55.2%), followed by mobility (50.0%), usual activities (36.6%), self-care (18.1%) and anxiety/depression (11.6%). The proportion of respondents reporting any problems increased significantly with age in bivariate analyses (age 75-79: 65.4%; age 80-84: 69.2%; age ≥ 85: 81.1%) and differed between countries, ranging from 58.7% in the Netherlands to 72.3% in Italy. The mean EQ VAS score was 61.9, decreasing with age (age 75-79: 64.1; age 80-84: 59.8; age ≥ 85: 56.7) and ranging from 60.0 in Italy to 72.9 in the Netherlands. SF-12 derived Physical Component Summary (PCS) and Mental Component Summary (MCS) scores varied little by age and country. Age and low educational level were associated with lower EQ VAS and PCS scores. After controlling for socio-demographic variables and reported EQ-5D health states, mean EQ VAS scores were significantly higher in the Netherlands and Belgium, and lower in Germany than the grand mean. Conclusions More than two thirds of the advanced elderly report impairment of health status. Impairment increases rapidly with age but differs considerably between countries. In all countries, health status is significantly associated with socio-demographic variables.

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Section: Discussionmentioning

confidence: 99%

Health status of the advanced elderly in six european countries: results from a representative survey using EQ-5D and SF-12

König

Heider

Lehnert

et al. 2010

Health Qual Life Outcomes

109

View full text Add to dashboard Cite

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“…Co-morbidity is a factor, significantly influencing outcome in most aspects [26]. One well-known way of classifying the effect from existing co-morbidity is the American Association of Anaesthetists (ASA) score.…”

Section: Influence From Co-morbiditymentioning

confidence: 99%

Health related quality of life outcome instruments

Németh

2005

Eur Spine J

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“…2,7,8 Multimorbidity increases with age, and is associated with a variety of untoward health outcomes, including poor functional status, lower quality of life, higher healthcare utilization, and higher mortality. 2,[9][10][11][12] It is conceptualized not simply as a list of diseases conferring varying degrees of health risk, but as non-randomly occurring clusters of diseases within populations. Moreover, multimorbidity has been shown to vary widely in different settings based on socioeconomic status and race/ethnicity.…”

Section: Introductionmentioning

confidence: 99%