Do general practitioners overestimate the health of their patients with lower education?

Kelly-Irving, Michelle; Delpierre, Cyrille; Schieber, Anne-Cécile; Lepage, Benoît; Rolland, Christine; Afrité, Anissa; Pascal, Jean; Cases, Chantal; Lombrail, Pierre; Lang, Thierry

doi:10.1016/j.socscimed.2011.07.031

Cited by 17 publications

(10 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Considering the results found by Kelly‐Irving et al . (), one may speculate that this would most likely lead to an underestimation of the concentration among the worse‐off. Concerning the results for obesity, it should be mentioned that self‐reported anthropometric data may involve some measurement or reporting errors, which are again likely to lead to an underestimation of the prevalence of obesity.…”

Section: Discussionmentioning

confidence: 99%

Individual Income, Area Deprivation, and Health: Do Income-Related Health Inequalities Vary by Small Area Deprivation?

2014

View full text Add to dashboard Cite

This paper aims to explore potential associations between health inequalities related to socioeconomic deprivation at the individual and the small area level. We use German cross-sectional survey data for the years 2002 and 2006, and measure small area deprivation via the German Index of Multiple Deprivation. We test the differences between concentration indices of income-related and small area deprivation related inequalities in obesity, hypertension, and diabetes. Our results suggest that small area deprivation and individual income both yield inequalities in health favoring the better-off, where individual income-related inequalities are significantly more pronounced than those related to small area deprivation. We then apply a semiparametric extension of Wagstaff's corrected concentration index to explore how individual-level health inequalities vary with the degree of regional deprivation. We find that the concentration of obesity, hypertension, and diabetes among lower income groups also exists at the small area level. The degree of deprivation-specific income-related inequalities in the three health outcomes exhibits only little variations across different levels of multiple deprivation for both sexes.

show abstract

Section: Discussionmentioning

confidence: 99%

Individual Income, Area Deprivation, and Health: Do Income-Related Health Inequalities Vary by Small Area Deprivation?

2014

View full text Add to dashboard Cite

show abstract

“…Disease management, including better control of lifestyle risk factors and adherence to drug treatment, has been related to socioeconomic status, and in particular education levels. Moreover, it has been reported that patients with less formal education may be less likely to be properly diagnosed, and consequently less likely to receive adequate treatment, due to difficulties in communication between doctors and patients [ 8 , 9 ]. Social gradients in health and disease deserve further attention at the present moment given the global financial crisis that affects numerous people as well as the healthcare system as a whole.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Educational Status on 10-Year (2004-2014) Cardiovascular Disease Prognosis and All-cause Mortality Among Acute Coronary Syndrome Patients in the Greek Acute Coronary Syndrome (GREECS) Longitudinal Study

Notara

Panagiotakos

Kogias

et al. 2016

J Prev Med Public Health

View full text Add to dashboard Cite

Objectives:The association between educational status and 10-year risk for acute coronary syndrome (ACS) and all-cause mortality was evaluated.Methods:From October 2003 to September 2004, 2172 consecutive ACS patients from six Greek hospitals were enrolled. In 2013 to 2014, a 10-year follow-up (2004-2014) assessment was performed for 1918 participants (participation rate, 88%). Each patient’s educational status was classified as low (<9 years of school), intermediate (9 to 14 years), or high (>14 years).Results:Overall all-cause mortality was almost twofold higher in the low-education group than in the intermediate-education and high-education groups (40% vs. 22% and 19%, respectively, p<0.001). Additionally, 10-year recurrent ACS events (fatal and non-fatal) were more common in the low-education group than in the intermediate-education and high-education groups (42% vs. 30% and 35%, p<0.001), and no interactions between sex and education on the investigated outcomes were observed. Moreover, patients in the high-education group were more physically active, had a better financial status, and were less likely to have hypertension, diabetes, or ACS than the participants with the least education (p<0.001); however, when those characteristics and lifestyle habits were accounted for, no moderating effects regarding the relationship of educational status with all-cause mortality and ACS events were observed.Conclusions:A U-shaped association may be proposed for the relationship between ACS prognosis and educational status, with participants in the low-education and high-education groups being negatively affected by other factors (e.g., job stress, depression, or loneliness). Public health policies should be aimed at specific social groups to reduce the overall burden of cardiovascular disease morbidity.

show abstract

“…In Italy, social inequalities in mortality are widely reported but, as expected, they are generally smaller than in northern European countries,15 17 also as a consequence of small or inexistent social gradients in major lifestyle-related risk factors 18 19. Patterns of unhealthy behaviours,20 21 exposure to environmental hazards22–25 or stressful situations,24 26 early life experiences,27 access to/use of medical care,28 29 access to health information30 31 and to resources mediating the physiological consequences of stress (ie, social relationships and support, cultural capital)30 32 are among the factors potentially explaining social inequalities in mortality. On the one hand, between-country variations in the social patterning of these factors may account for the observed geographical differences in social inequalities in mortality.…”

Section: Introductionmentioning

confidence: 83%

Decreasing educational differences in mortality over 40 years: evidence from the Turin Longitudinal Study (Italy)

Stringhini

Spadea

Stroscia

et al. 2015

J Epidemiol Community Health

View full text Add to dashboard Cite

BackgroundRecent studies suggest that inequalities in premature mortality have continued to rise over the last decade in most European countries, but not in southern European countries.MethodsIn this study, we assess long-term trends (1971–2011) in absolute and relative educational inequalities in all-cause and cause-specific mortality in the Turin Longitudinal Study (Turin, Italy), a record-linkage study including all individuals resident in Turin in the 1971, 1981, 1991 and 2001 censuses, and aged 30–99 years (more than 2 million people). We examined mortality for all causes, cardiovascular disease (CVD), all cancers and specific cancers (lung, breast), as well as smoking and alcohol-related mortality.ResultsOverall mortality substantially decreased in all educational groups over the study period, although cancer rates only slightly declined. Absolute inequalities decreased for both genders (SII=962/694 in men/women in 1972–1976 and SII=531/259 in 2007–2011, p<0.01). Among men, absolute inequalities for CVD and alcohol-related causes declined (p<0.05), while remaining stable for other causes of death. Among women, declines in absolute inequalities were observed for CVD, smoking and alcohol-related causes and lung cancer (p<0.05). Relative inequalities in all-cause mortality remained stable for men and decreased for women (RII=1.92/2.03 in men/women in 1972–1976 and RII=2.15/1.32 in 2007–2011). Among men, relative inequalities increased for smoking-related causes, while among women they decreased for all cancers, CVD, smoking-related causes and lung cancer (p<0.05).ConclusionsAbsolute inequalities in mortality strongly declined over the study period in both genders. Relative educational inequalities in mortality were generally stable among men; while they tended to narrow among women. In general, this study supports the hypothesis that educational inequalities in mortality have decreased in southern European countries.

show abstract

Do general practitioners overestimate the health of their patients with lower education?

Cited by 17 publications

References 30 publications

Individual Income, Area Deprivation, and Health: Do Income-Related Health Inequalities Vary by Small Area Deprivation?

Individual Income, Area Deprivation, and Health: Do Income-Related Health Inequalities Vary by Small Area Deprivation?

The Impact of Educational Status on 10-Year (2004-2014) Cardiovascular Disease Prognosis and All-cause Mortality Among Acute Coronary Syndrome Patients in the Greek Acute Coronary Syndrome (GREECS) Longitudinal Study

Decreasing educational differences in mortality over 40 years: evidence from the Turin Longitudinal Study (Italy)

Contact Info

Product

Resources

About