Literature DB >> 24550248

Cohort profile: the Social Inequality in Cancer (SIC) cohort study.

Helene Nordahl1, Ulla Arthur Hvidtfeldt2, Finn Diderichsen2, Naja Hulvej Rod2, Merete Osler3, Birgitte Lidegaard Frederiksen3, Eva Prescott3, Anne Tjønneland2, Theis Lange2, Niels Keiding2, Per Kragh Andersen2, Ingelise Andersen2.   

Abstract

The Social Inequality in Cancer (SIC) cohort study was established to determine pathways through which socioeconomic position affects morbidity and mortality, in particular common subtypes of cancer. Data from seven well-established cohort studies from Denmark were pooled. Combining these cohorts provided a unique opportunity to generate a large study population with long follow-up and sufficient statistical power to develop and apply new methods for quantification of the two basic mechanisms underlying social inequalities in cancer-mediation and interaction. The SIC cohort included 83 006 participants aged 20-98 years at baseline. A wide range of behavioural and biological risk factors such as smoking, physical inactivity, alcohol intake, hormone replacement therapy, body mass index, blood pressure and serum cholesterol were assessed by self-administered questionnaires, physical examinations and blood samples. All participants were followed up in nationwide demographic and healthcare registries. For those interested in collaboration, further details can be obtained by contacting the Steering Committee at the Department of Public Health, University of Copenhagen, at inan@sund.ku.dk.
© The Author 2014; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

Entities:  

Keywords:  cancer; cohort consortium; data harmonization; data pooling; health related risk factors; social inequality

Mesh:

Year:  2014        PMID: 24550248     DOI: 10.1093/ije/dyu003

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  4 in total

Review 1.  How does the social environment during life course embody in and influence the development of cancer?

Authors:  Ming Chen; Huiyun Zhu; Yiqi Du; Geliang Yang
Journal:  Int J Public Health       Date:  2018-06-11       Impact factor: 3.380

2.  Association of physical functioning of persons with dementia with caregiver burden and depression in dementia caregivers: an integrative data analysis.

Authors:  Nicole M Armstrong; Laura N Gitlin; Jeanine M Parisi; David L Roth; Alden L Gross
Journal:  Aging Ment Health       Date:  2018-02-22       Impact factor: 3.658

3.  Job-exposure matrices addressing lifestyle to be applied in register-based occupational health studies.

Authors:  Sesilje Bondo Petersen; Esben Meulengracht Flachs; Eva Irene Bossano Prescott; Anne Tjønneland; Merete Osler; Ingelise Andersen; Knud Juel; Esben Budz-Jørgensen; Henrik A Kolstad; Vivi Schlünssen; Jens Peter Bonde
Journal:  Occup Environ Med       Date:  2018-09-01       Impact factor: 4.402

4.  The respective parts of incidence and lethality in socioeconomic differences in cancer mortality. An analysis of the French network Cancer registries (FRANCIM) data.

Authors:  Joséphine Bryere; Laure Tron; Gwenn Menvielle; Guy Launoy
Journal:  Int J Equity Health       Date:  2019-12-03
  4 in total

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