International variation in socioeconomic inequalities in self reported health.

Kunst, Anton E.; Geurts, J. J. M.; Berg, Johnnie Van den

doi:10.1136/jech.49.2.117

Cited by 158 publications

(106 citation statements)

References 17 publications

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“…More educated individuals are more likely to report illness because of their greater degree of self-awareness, and thus the effect of education on SPH can be underestimated. Our findings regarding the importance of education are consistent with previous research suggesting that education is a very reliable and stable predictor of health and mortality (Kunst, Geurts, and van den Berg 1995;Bobak et al 1998;Shkolnikov et al 1998;Bobak et al 2000;Perlman and Bobak 2008).…”

Section: Summary and Discussionsupporting

confidence: 82%

Self-perceived health in Belarus: Evidence from the income and expenditures of households survey

Grigoriev¹,

Grigorieva²

2011

DemRes

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Section: Summary and Discussionsupporting

confidence: 82%

Self-perceived health in Belarus: Evidence from the income and expenditures of households survey

Grigoriev¹,

Grigorieva²

2011

DemRes

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“…A correlation study (Baquet et al, 1991), a cross-sectional study (Faivre et al, 1989) and a case-control study (Bidoli et al, 1992) reported no association between education and colon cancer risk for women, while an inverse association was found in a crosssectional study (Williams and Horm, 1977), and in two cohort studies in Scandinavia (Pukkala and Teppo, 1986;Vagero and Persson, 1986) significant positive associations were reported. We did not find an association between education and colon cancer, which is consistent with the finding that health differences between SES categories for women are Kunst et al, 1993), probably because of relatively small differences in education within the female population.…”

Section: Discussionsupporting

confidence: 81%

Socioeconomic status and colon cancer incidence: a prospective cohort study

Loon

Brandt²,

Golbohm³

1995

Br J Cancer

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al., 1984;Ferraroni et al., 1989;Bidoli et al., 1992) and cohort studies (Pukkala and Teppo, 1986;Vagero and Persson, 1986;Leon, 1988) showed predominantly positive associations between SES and colon cancer risk. In these studies hardly any adjustment was made for potential confounders. Most of the time, age was included in the analyses, and two studies included some lifestyle characteristics such as smoking (Williams and Horm, 1977) and coffee and alcohol consumption (Ferraroni et al., 1989 (Goldbohm et al., 1994a). Therefore, these dietary factors were omitted from our analyses. Materials and methodsThe cohort studyIn September 1986, The Netherlands Cohort Study (NLCS), investigating various lifestyle variables, sociodemographic indicators and cancer risk, was started. A detailed description of the cohort study design has been reported elsewhere (Van den Brandt et al., 1990a). Briefly, the cohort included 58 279 men and 62 573 women aged 55-69 years at the beginning of the study. The study population originated from 204 municipal population registries throughout the country. Data were collected by means of a self-administered questionnaire. For data analysis the case-cohort approach was used in which cases are derived from the entire cohort, while the personyears at risk are estimated from a random sample of 3500 subjects (subcohort). After the baseline exposure measurement the subcohort was randomly sampled (1688 men and 1812 women) and it has been followed up biennially for vital status information.Follow-up for incident cancer has been established by record linkage with all regional cancer registries in The Netherlands and with a national pathology register (PALGA). The method of record linkage has been described previously (Van den Brandt et al., 1990b). The analysis is restricted to colon cancer incidence in the period from September 1986 to December 1989. In this period, completeness of follow-up was estimated to be 95% ( Van den Brandt et al., 1993). After these 3.3 years of follow-up, 351 colon cancer cases were detected. We excluded self-reported prevalent cancer cases other than skin cancer (n = 28), cases with in situ carcinoma (n = 8), cases without microscopically confirmed diagnosis (n = 2) and sarcoma (n = 1). Therefore 312 incident cases (157 males and 155 females) were available for analysis. Self-reported prevalent cancer cases other than skin cancer were also excluded from the subcohort, with the result that 3346 subjects (1630

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“…This has already been found in several other studies conducted in high income countries (HICs) [7,12,23,24] and we showed that this also the case in a number of middle and low-income countries (MLICs).…”

Section: Percentages In Less Good Health (Whshsi and Srh) By Age And supporting

confidence: 65%

A Single- vs. Multi-Item Self-Rated Health Status Measure: A 21-Country Study

Ginneken

Groenewold

2012

TOPHJ

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Abstract:Objectives: Data have been collected on self-rated health using a single question on how individuals rate their health in cross-sectional surveys carried out in a large number of countries. Doubts have been expressed about the validity of this measure and this was the main reason to undertake the current study. Study Design: Data of 21 cross-sectional surveys were analyzed derived from the World Health Survey (WHS) carried out among adults in [2002][2003]. Methods: We compared the single-item self-rated health measure with a multi-item health status index. Information on both types of measures was available from WHS. The multi-item index was constructed using data on functional limitations in daily activities. Results: The relationship of age with the multi-item health status index was linear while the relationship of age with self-rated health deviated from linearity in the younger and the oldest age groups. Both measures were compared with two criterion variables: life expectancy at age 20 and self-reported chronic conditions. The multi-item index was more strongly related to life expectancy and to chronic conditions than was the single-item self-rated health measure. Conclusions:The multi-item health status index could be a stronger predictor of mortality than the single-item self-rated health measure. It is recommended to rely in health surveys as much as possible on multi-item health status measures. Single-item self-rated health measures should continue to be used in situations where there are no other alternatives available, but researchers and policy makers should be aware of their limitations.

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International variation in socioeconomic inequalities in self reported health.

Cited by 158 publications

References 17 publications

Self-perceived health in Belarus: Evidence from the income and expenditures of households survey

Self-perceived health in Belarus: Evidence from the income and expenditures of households survey

Socioeconomic status and colon cancer incidence: a prospective cohort study

A Single- vs. Multi-Item Self-Rated Health Status Measure: A 21-Country Study

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