Socioeconomic inequalities in lung cancer mortality in 16 European populations

Heyden, Johan Van der; Schaap, Maartje M.; Kunst, Anton E.; Esnaola, Santiago; Borrell, Carme; Cox, Bianca; Leinsalu, Mall; Stirbu, Irina; Kalèdiené, Ramuné; Deboosere, Patrick; Mackenbach, Johan P.; Oyen, Herman Van

doi:10.1016/j.lungcan.2008.06.006

Cited by 87 publications

(62 citation statements)

References 36 publications

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“…In addition to considering variables at the individual level, future research should explore whether community factors such a housing, access to facilities, workplaces, and local health resources influence the behaviour patterns of cancer survivors. Socioeconomic disparities in cancer survival still exist in universal health care systems 50,51 . Given the present work, it might be worth determining whether health behaviours contribute to those disparities and whether education is a significant predictor of survival.…”

Section: Discussionmentioning

confidence: 99%

“…Thus far, most Canadian studies considering cancer survival have used income as the primary ses indicator and have not incorporated smoking or physical inactivity as mediating factors 50,52 . Education differences in cancer survival have been identified in the United States 53 and continental Europe 51 , but could also exist in Canada and the United Kingdom.…”

Section: Discussionmentioning

confidence: 99%

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Socioeconomic Status and Lifestyle Behaviours in Cancer Survivors: Smoking and Physical Activity

et al. 2016

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Purpose Smoking cessation and increased physical activity (pa) have been linked to better outcomes in cancer survivors. We assessed whether socioeconomic factors influence changes in those behaviours after a cancer diagnosis. MethodsAs part of a cross-sectional study, a diverse group of cancer survivors at the Princess Margaret Cancer Centre (Toronto, ON), completed a questionnaire about past and current lifestyle behaviours and perceptions about the importance of those behaviours with respect to their health. The influence of socioeconomic indicators on smoking status and physical inactivity at 1 year before and after diagnosis were assessed using multivariable logistic regression with adjustment for clinico-demographic factors. ResultsOf 1222 participants, 1192 completed the smoking component. Of those respondents, 15% smoked before diagnosis, and 43% of those smokers continued to smoke after. The proportion of survivors who continued to smoke increased with lower education level (p = 0.03). Of the 1106 participants answering pa questions, 39% reported being physically inactive before diagnosis, of whom 82% remained inactive afterward. Survivors with a lower education level were most likely to remain inactive after diagnosis (p = 0.003). Lower education level, household income, and occupation were associated with the perception that pa had no effect or could worsen fatigue and quality of life (p ≤ 0.0001).Conclusions In cancer survivors, education level was a major modifier of smoking and pa behaviours. Lower socioeconomic status was associated with incorrect perceptions about pa. Targeting at-risk survivors by education level should be evaluated as a strategy in cancer survivorship programs.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Socioeconomic Status and Lifestyle Behaviours in Cancer Survivors: Smoking and Physical Activity

et al. 2016

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“…1 Smoking-related diseases such as lung cancer are also more common in low socioeconomic groups. 2 Many studies show that differences in smoking behaviour only partially explain inequalities in smoking-related diseases such as lung cancer. [2][3][4] It has been suggested that the harms of smoking differ by socioeconomic status, but this interaction has received little attention.…”

Section: Introductionmentioning

confidence: 99%

“…2 Many studies show that differences in smoking behaviour only partially explain inequalities in smoking-related diseases such as lung cancer. [2][3][4] It has been suggested that the harms of smoking differ by socioeconomic status, but this interaction has received little attention. In a literature search we found 13 studies that tested the interaction between socioeconomic status and smoking (details of the search are included in supplementary material A), but these produced conflicting results.…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic position and mortality risk of smoking: evidence from the English Longitudinal Study of Ageing (ELSA)

Lewer

McKee

Gaspirrini

et al. 2017

European Journal of Public Health

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“…Most studies exploring health inequalities were conducted in western countries, but recently some studies have been conducted in eastern European, Baltic, and other developing countries (6,(8)(9)(10)(11). However, such studies rarely included the countries in southeastern Europe.…”

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confidence: 99%

Prevalence of Chronic Diseases According to Socioeconomic Status Measured by Wealth Index: Health Survey in Serbia

Vukovic

Bjegović²,

G³

2008

Croat Med J

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Aim To examine socioeconomic inequalities in the prevalence of chronic diseases in Serbia, using the data from 2006 national health survey.Method A stratified sample of 7673 households was selected and 14 522 household members older than 20 years were interviewed (response rate 80.5%). Wealth index was used as a measure of socioeconomic status. Standardized morbidity prevalence ratios were computed using the poorest category as reference. Odds ratios for the prevalence of the selected chronic diseases and their 95% confidence intervals were calculated by multivariate logistic analysis adjusted for age, education, smoking status, and body mass index.Results Hypertension was the most prevalent disease in all socioeconomic categories; standardized morbidity prevalence ratios were higher in richer men (151.3 in the richest) and lower in richer women (86.1 in the richest). Rheumatism/arthritis was the second most prevalent disease in both sexes, with the highest prevalence in the poorest group; the pattern remained the same after standardization (standardized morbidity prevalence ratio in the richest: 86.4 in men and 74.0 in women). The prevalence of hyperlipidemia was associated with wealth index in both men and women and was highest in the richest group; the pattern remained the same after standardization (standardized morbidity prevalence ratio in the richest: 275.9 in men and 138.4 in women). Logistic regression models showed that higher wealth index was associated with higher prevalence of hypertension, hyperlipidemia, and allergy, while lower wealth index was associated with higher prevalence of rheumatism/arthritis.Conclusion There were considerable socioeconomic inequalities in the prevalence of chronic diseases in Serbia. These results indicate an opportunity to reduce inequalities and show a need for further investigation on the determinants of chronic diseases.

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Socioeconomic inequalities in lung cancer mortality in 16 European populations

Cited by 87 publications

References 36 publications

Socioeconomic Status and Lifestyle Behaviours in Cancer Survivors: Smoking and Physical Activity

Socioeconomic Status and Lifestyle Behaviours in Cancer Survivors: Smoking and Physical Activity

Socioeconomic position and mortality risk of smoking: evidence from the English Longitudinal Study of Ageing (ELSA)

Prevalence of Chronic Diseases According to Socioeconomic Status Measured by Wealth Index: Health Survey in Serbia

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