ArticlePloS one2017
Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.
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- Representativeness of a German AI-enabled data network for secondary epidemiological analysis based on electronic health records.PloS one · 2026Article
- Social Inequalities in Exposure to Air Pollution in the EPIC Cohorts of Turin and Varese.Toxics · 2025Article
- Syndemic approach to chronic kidney disease, cardiovascular disease and educational level: a longitudinal cohort study in northwest Italy.Journal of epidemiology and community health · 2025Article
- Life course socioeconomic position and care dependency in later life: a longitudinal multicohort study from 17 countries.EClinicalMedicine · 2025Article
- Trends of socioeconomic and geographic inequalities in COVID-19 vaccine uptake in Ethiopia: using the WHO Health Equity Assessment Toolkit.BMC health services research · 2024Article
- Contextual and individual inequalities in breast cancer screening participation and outcomes in Turin (North-West Italy).NPJ breast cancer · 2024Article
- Theories, determinants, and intervention models and approaches on inequalities of undernutrition amongst under fives: A literature review.Health science reports · 2024Article
- Child rearing or childbearing? Risk of cardiovascular diseases associated to parity and number of children.BMC public health · 2024Article
- Physical activity modification over time according to socioeconomic position: results from the EPIC-Italy cohort study.BMJ open sport & exercise medicine · 2024Article
- Trends in social inequality in mortality in Denmark 1995-2019: the contribution of smoking- and alcohol-related deaths.Journal of epidemiology and community health · 2023Article
- Bayesian multilevel modelling of the association between socio-economic status and stunting among under-five-year children in Tanzania.Journal of health, population, and nutrition · 2023Article
- The potential of intervening on childhood adversity to reduce socioeconomic inequities in body mass index and inflammation among Australian and UK children: A causal mediation analysis.Journal of epidemiology and community health · 2023Article
- The FLY-project: study protocol for mixed methods research to explore the complex social dynamics of sustainable food-related lifestyles in youth in practical education.BMC nutrition · 2023Article
- Is there a peer status gradient in mortality? Findings from a Swedish cohort born in 1953 and followed to age 67.European journal of public health · 2023Article
- Socioeconomic changes predict genome-wide DNA methylation in childhood.Human molecular genetics · 2023Article
- Determining the spatial distribution of environmental and socio-economic suitability for human leptospirosis in the face of limited epidemiological data.Infectious diseases of poverty · 2022Article
- Multivariate genome-wide analysis of education, socioeconomic status and brain phenome.Nature human behaviour · 2021Article
- Swedish snus use is associated with mortality: a pooled analysis of eight prospective studies.International journal of epidemiology · 2021Article
Corrections and comments
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Authors and funding
18 authors at 10 institutions in 8 countries.
Funding
Abstract
backgroundSeveral social indicators have been used in epidemiological research to describe socioeconomic position (SEP) of people in societies. Among SEP indicators, those more frequently used are education, occupational class and income. Differences in the incidence of several health outcomes have been reported consistently, independently from the indicator employed. Main objectives of the study were to present the socioeconomic classifications of the social indicators which will be employed throughout the LIFEPATH project and to compare social gradients in all-cause mortality observed in the participating adult cohorts using the different SEP indicators.
methodsInformation on the available social indicators (education, own and father's occupational class, income) from eleven adult cohorts participating in LIFEPATH was collected and harmonized. Mortality by SEP for each indicator was estimated by Poisson regression on each cohort and then evaluated using a meta-analytical approach.
resultsIn the meta-analysis, among men mortality was significantly inversely associated with both occupational class and education, but not with father's occupational class; among women, the increase in mortality in lower social strata was smaller than among men and, except for a slight increase in the lowest education category, no significant differences were found.
conclusionsAmong men, the proposed three-level classifications of occupational class and education were found to predict differences in mortality which is consistent with previous research. Results on women suggest that classifying them through their sole SEP, without considering that of their partners, may imply a misclassification of their social position leading to attenuation of mortality differences.
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