Literature DB >> 17053288

A life-course approach to measuring socioeconomic position in population health surveillance systems.

C R Chittleborough1, F E Baum, A W Taylor, J E Hiller.   

Abstract

Measuring socioeconomic position (SEP) in population chronic disease and risk factor surveillance systems is essential for monitoring socioeconomic inequalities in health over time. Life-course measures are an innovative way to supplement other SEP indicators in surveillance systems. A literature review examined the indicators of early-life SEP that could potentially be used in population health surveillance systems. The criteria of validity, relevance, reliability and deconstruction were used to determine the value of potential indicators. Early-life SEP indicators used in cross-sectional and longitudinal studies included education level, income, occupation, living conditions, family structure and residential mobility. Indicators of early-life SEP should be used in routine population health surveillance to monitor trends in the health and SEP of populations over time, and to analyse long-term effects of policies on the changing health of populations. However, these indicators need to be feasible to measure retrospectively, and relevant to the historical, geographical and sociocultural context in which the surveillance system is operating.

Mesh:

Year:  2006        PMID: 17053288      PMCID: PMC2465478          DOI: 10.1136/jech.2006.048694

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  115 in total

1.  Lifetime risk factors for women's psychological distress in midlife.

Authors:  Diana Kuh; Rebecca Hardy; Bryan Rodgers; Michael E J Wadsworth
Journal:  Soc Sci Med       Date:  2002-12       Impact factor: 4.634

2.  Building an inter-disciplinary science of health inequalities: the example of lifecourse research.

Authors:  Hilary Graham
Journal:  Soc Sci Med       Date:  2002-12       Impact factor: 4.634

3.  The influence of context, timing, and duration of risk experiences for the passage from childhood to midadulthood.

Authors:  Ingrid Schoon; John Bynner; Heather Joshi; Samantha Parsons; Richard D Wiggins; Amanda Sacker
Journal:  Child Dev       Date:  2002 Sep-Oct

4.  Socio-economic mortality differentials in Sydney over a quarter of a century, 1970-94.

Authors:  Lillian J Hayes; Susan Quine; Richard Taylor; Geoffrey Berry
Journal:  Aust N Z J Public Health       Date:  2002-08       Impact factor: 2.939

Review 5.  A glossary for health inequalities.

Authors:  I Kawachi; S V Subramanian; N Almeida-Filho
Journal:  J Epidemiol Community Health       Date:  2002-09       Impact factor: 3.710

6.  Lifetime socioeconomic position in relation to onset of perimenopause.

Authors:  L A Wise; N Krieger; S Zierler; B L Harlow
Journal:  J Epidemiol Community Health       Date:  2002-11       Impact factor: 3.710

7.  Socioeconomic position in childhood and adulthood and insulin resistance: cross sectional survey using data from British women's heart and health study.

Authors:  Debbie A Lawlor; Shah Ebrahim; George Davey Smith
Journal:  BMJ       Date:  2002-10-12

8.  Life-course perspective on socioeconomic differences in carotid atherosclerosis.

Authors:  Maria Rosvall; Per-Olof Ostergren; Bo Hedblad; Sven-Olof Isacsson; Lars Janzon; Göran Berglund
Journal:  Arterioscler Thromb Vasc Biol       Date:  2002-10-01       Impact factor: 8.311

9.  Life-course socioeconomic and behavioral influences on cardiovascular disease mortality: the collaborative study.

Authors:  George Davey Smith; Carole Hart
Journal:  Am J Public Health       Date:  2002-08       Impact factor: 9.308

10.  Childhood and adolescent antecedents of substance use in adulthood.

Authors:  Margaret E Ensminger; Hee Soon Juon; Kate E Fothergill
Journal:  Addiction       Date:  2002-07       Impact factor: 6.526

View more
  28 in total

1.  Monitoring inequities in self-rated health over the life course in population surveillance systems.

Authors:  Catherine R Chittleborough; Anne W Taylor; Fran E Baum; Janet E Hiller
Journal:  Am J Public Health       Date:  2009-02-05       Impact factor: 9.308

2.  Socioeconomic status and the cerebellar grey matter volume. Data from a well-characterised population sample.

Authors:  Jonathan Cavanagh; Rajeev Krishnadas; G David Batty; Harry Burns; Kevin A Deans; Ian Ford; Alex McConnachie; Agnes McGinty; Jennifer S McLean; Keith Millar; Naveed Sattar; Paul G Shiels; Carol Tannahill; Yoga N Velupillai; Chris J Packard; John McLean
Journal:  Cerebellum       Date:  2013-12       Impact factor: 3.847

3.  Do socioeconomic gradients in subclinical atherosclerosis vary according to acculturation level? Analyses of Mexican-Americans in the multi-ethnic study of atherosclerosis.

Authors:  Linda C Gallo; Karla Espinosa de Los Monteros; Matthew Allison; Ana Diez Roux; Joseph F Polak; Karol E Watson; Leo S Morales
Journal:  Psychosom Med       Date:  2009-08-06       Impact factor: 4.312

4.  The influence of family income trajectories from birth to adulthood on adult oral health: findings from the 1982 Pelotas birth cohort.

Authors:  Marco A Peres; Karen G Peres; W Murray Thomson; Jonathan M Broadbent; Denise P Gigante; Bernardo L Horta
Journal:  Am J Public Health       Date:  2010-06-17       Impact factor: 9.308

5.  Lifecourse Socioeconomic Position and Racial Disparities in BMI Trajectories among Black and White Women: Exploring Cohort Effects in the Americans Changing Lives' Study.

Authors:  Tabassum Z Insaf; Benjamin A Shaw; Recai M Yucel; Lisa Chasan-Taber; David S Strogatz
Journal:  J Racial Ethn Health Disparities       Date:  2014-12

6.  Lifecourse socioeconomic position and 16 year body mass index trajectories: differences by race and sex.

Authors:  Tabassum Z Insaf; Benjamin A Shaw; Recai M Yucel; Lisa Chasan-Taber; David S Strogatz
Journal:  Prev Med       Date:  2014-06-24       Impact factor: 4.018

7.  Life Course Socioeconomic Transition and its Association with Early Onset Type 2 Diabetes: Protocol for a Sequential Exploratory Mixed Method Study.

Authors:  Sankar Vadassery Uma; V Kutty Raman; Santhosh Kumar Nochikattil
Journal:  J Clin Diagn Res       Date:  2016-06-01

8.  Independent influences of current and childhood socioeconomic status on health outcomes in a North Carolina family practice sample of arthritis patients.

Authors:  Antoine R Baldassari; Rebecca J Cleveland; Leigh F Callahan
Journal:  Arthritis Care Res (Hoboken)       Date:  2013-08       Impact factor: 4.794

9.  Childhood socioeconomic circumstances and disability trajectories in older men and women: a European cohort study.

Authors:  Aljoscha Landös; Martina von Arx; Boris Cheval; Stefan Sieber; Matthias Kliegel; Rainer Gabriel; Dan Orsholits; Bernadette W A van der Linden; David Blane; Matthieu P Boisgontier; Delphine S Courvoisier; Idris Guessous; Claudine Burton-Jeangros; Stéphane Cullati
Journal:  Eur J Public Health       Date:  2019-02-01       Impact factor: 3.367

Review 10.  A new era: improving use of sociodemographic constructs in the analysis of pediatric cohort study data.

Authors:  Aruna Chandran; Emily Knapp; Tiange Liu; Lorraine T Dean
Journal:  Pediatr Res       Date:  2021-02-18       Impact factor: 3.756

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.