Socioeconomic factors influence selection and participation in a population-based case–control study of head and neck cancer in Scotland

Conway, David I.; McMahon, Alex D.; Smith, Katrina; Taylor, John; McKinney, Patricia A.

doi:10.1016/j.jclinepi.2007.12.012

Cited by 15 publications

(11 citation statements)

References 26 publications

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“…Third, the possibility of selection bias was implied in our analysis because the association between lung cancer and SES was stronger among population than hospital controls. In population-based studies subjects of lower SES tend to show lower participation [ 31 ], and case-control studies on lung cancer and SES with population-based controls revealed higher ORs for low SES [ 12 ]. SES-related non-response bias, i.e.…”

Section: Discussionmentioning

confidence: 99%

Lung cancer and socioeconomic status in a pooled analysis of case-control studies

et al. 2018

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BackgroundAn association between low socioeconomic status (SES) and lung cancer has been observed in several studies, but often without adequate control for smoking behavior. We studied the association between lung cancer and occupationally derived SES, using data from the international pooled SYNERGY study.MethodsTwelve case-control studies from Europe and Canada were included in the analysis. Based on occupational histories of study participants we measured SES using the International Socio-Economic Index of Occupational Status (ISEI) and the European Socio-economic Classification (ESeC). We divided the ISEI range into categories, using various criteria. Stratifying by gender, we calculated odds ratios (OR) and 95% confidence intervals (CI) by unconditional logistic regression, adjusting for age, study, and smoking behavior. We conducted analyses by histological subtypes of lung cancer and subgroup analyses by study region, birth cohort, education and occupational exposure to known lung carcinogens.ResultsThe analysis dataset included 17,021 cases and 20,885 controls. There was a strong elevated OR between lung cancer and low SES, which was attenuated substantially after adjustment for smoking, however a social gradient persisted. SES differences in lung cancer risk were higher among men (lowest vs. highest SES category: ISEI OR 1.84 (95% CI 1.61–2.09); ESeC OR 1.53 (95% CI 1.44–1.63)), than among women (lowest vs. highest SES category: ISEI OR 1.54 (95% CI 1.20–1.98); ESeC OR 1.34 (95% CI 1.19–1.52)).ConclusionSES remained a risk factor for lung cancer after adjustment for smoking behavior.

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Section: Discussionmentioning

confidence: 99%

Lung cancer and socioeconomic status in a pooled analysis of case-control studies

et al. 2018

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“…Specifically, for each case, a total of 10 controls were selected, matched by age and sex. Potential controls were approached in random order one at a time until one agreed to participate [22]. In all other centres hospital admitted controls for a wide spectrum of medical conditions were ascertained [23].…”

Section: Population and Methodsmentioning

confidence: 99%

Life course social mobility and risk of upper aerodigestive tract cancer in men

et al. 2010

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The aim of this study was to explore associations between social mobility and tumours of the upper aero-digestive tract (UADT), focussing on life-course transitions in social prestige (SP) based on occupational history. 1,796 cases diagnosed between 1993 and 2005 in ten European countries were compared with 1585 controls. SP was classified by the Standard International Occupational Prestige Scale (SIOPS) based on job histories. SIOPS was categorised in high (H), medium (M) and low (L). Time weighted average achieved and transitions between SP with nine trajectories: H --> H, H --> M, H --> L, M --> H, M --> M, M --> L, L --> H, L --> M and L --> L were analysed. Odds ratios (ORs) and 95%-confidence intervals [95%-CIs] were estimated with logistic regression models including age, consumption of fruits/vegetables, study centre, smoking and alcohol consumption. The adjusted OR for the lowest versus the highest of three categories (time weighted average of SP) was 1.28 [1.04-1.56]. The distance of SP widened between cases and controls during working life. The downward trajectory H --> L gave an OR of 1.71 [0.75-3.87] as compared to H --> H. Subjects with M --> M and L --> L trajectories ORs were also elevated relative to subjects with H --> H trajectories. The association between SP and UADT is not fully explained by confounding factors. Downward social trajectory during the life course may be an independent risk factor for UADT cancers.

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“…Chronic trauma to the oral mucosa from poor restorations and prostheses, and poor oral hygiene with a consequent heavy bacterial load in the mouth, are reemerging as significant risk factors [26][27][28] . Some epidemiological studies [29][30][31] show that employment in industries with occupational exposure to wood dust, asbestos, acid mists or solvents, and in textiles and leather manufacturing, are associated with an increased risk of UADT cancer 16,[30][31][32] . Furthermore, a positive relationship between a family history of head and neck cancer and UADT cancer risk have been suggested by a few studies 33,34 .…”

Section: Risk Factors For Uadt Cancermentioning

confidence: 99%

Life course models for upper aero-digestive tract cancer

Gupta

Lalloo

Johnson

2015

International Dental Journal

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Upper aero-digestive tract (UADT) cancers are collectively cancers of various human body sites, such as the oral cavity, pharynx, oesophagus and larynx. Worldwide, they are the fourth most frequent cancer type and the fourth most common cause of mortality from cancer. Many studies have shown that several chronic diseases, such as cancer, which occur more commonly in later adulthood, are influenced by social and psychological circumstances during birth, childhood, adolescence and early adult life. It is suggested that the build up of problematic circumstances throughout life is the cause of disease, rather than circumstances that happen at one point in time. UADT cancer is a chronic disease of complex multifactorial origin and most of the underlying exposures/risks cannot be considered as individual factors or in isolation, as they act at different levels, which differ from time to time. Thus, life-course epidemiology, rather than drawing false dichotomies between different risk factors of the underlying disease, attempts to integrate biological and social risk processes that cause the chronic disease. It studies how socially patterned exposures during all stages of life--childhood, adolescence and early adult--influence disease risk in adulthood and socio-economic position and hence may account for social inequalities in adult health and mortality. Furthermore, varying health effects, according to the timing or duration of exposure to socio-economic circumstances, may indicate important traces to the causes of cancer. In this paper, we have attempted to draw a conceptual framework on the relationships between socio-economic inequalities, oral health risk factors along the life-course of an individual and incidence of UADT cancer.

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Socioeconomic factors influence selection and participation in a population-based case–control study of head and neck cancer in Scotland

Cited by 15 publications

References 26 publications

Lung cancer and socioeconomic status in a pooled analysis of case-control studies

Lung cancer and socioeconomic status in a pooled analysis of case-control studies

Life course social mobility and risk of upper aerodigestive tract cancer in men

Life course models for upper aero-digestive tract cancer

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