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Vol. 20. Núm. 1.
Páginas 109-118 (abril 2011)
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Vol. 20. Núm. 1.
Páginas 109-118 (abril 2011)
Open Access
Contextual Influences on the Individual Life Course: Building a Research Framework for Social Epidemiology
Influencias Contextuales en el Ciclo Vital Individual: Construyendo un Marco de Investigación para la Epidemiología Social
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5012
Juan Merlo
Autor para correspondencia
juan.merlo@med.lu.se

Unit for Social Epidemiology, CRC, Faculty of Medicine, Lund University, SE-20502 Malmö, Sweden
Lund University, Sweden
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Información del artículo
Abstract

Individual health is not only individual responsibility, but also depends on the social contexts that condition the individual across the life course. However, while it is of high public health relevance to identify these contextual influences, they still remain poorly understood, and the research performed so far has suffered from severe limitations. This paper presents a research agenda for social epidemiology that underlines a number of novel concepts, ideas, and unanswered questions deserving future investigation. The paper presents a conceptual framework intended to organize the investigation of geographical, socioeconomic, and cultural disparities in health. This framework identifies five main areas of research: (1) identifying the relevant contexts that influence individual health by measuring general contextual effects, (2) measuring contextual characteristics, the specific effects of these characteristics on individual health and their underlying cross-level mechanisms, (3) investigating general and specific contextual effects from a longitudinal, a life-course perspective and across generations, (4) developing quasi-experimental methods (e.g., family-based designs) for the analysis of causal effects in contextual analyses, and (5) using the achieved scientific knowledge for planning and evaluating interventions. The proposed framework emphasizes that future research in social epidemiology should question the current means-centric reductionism that is mostly concerned with the identification of (contextual) risk factors, and it stresses the need to deliberately investigate determinants of variance. In fact, social epidemiology is not only interested in increasing the (mean) health of the population, but also in understanding and decreasing inappropriate health inequalities (variance).

Keywords:
contextual effects
health inequalities
life course
multilevel analyses
public health
social epidemiology
Resumen

La salud individual no depende sólo de la responsabilidad individual, sino también depende de los contextos sociales que condicionan al individuo a lo largo de su ciclo vital. Sin embargo, aunque la identificación de esas influencias contextuales es de una gran relevancia para la salud pública, su comprensión es todavía pobre y la investigación realizada hasta ahora presenta importantes limitaciones. Este trabajo presenta una agenda de investigación para la epidemiología social donde se subrayan un conjunto de nuevos conceptos, ideas y cuestiones pendientes para la investigación futura. El marco conceptual que se presenta trata de organizar la investigación de las desigualdades geográficas, socioeconómicas y culturales en salud. Este marco identifica cinco áreas principales de investigación: (1) identificar los contextos relevantes que influyen en la salud individual a través de la medida de los efectos contextuales generales, (2) medida de las características contextuales, los efectos específicos de esas características en la salud individual y los mecanismos inter-nivel subyacentes, (3) investigar los efectos contextuales generales y específicos longitudinalmente desde una perspectiva del ciclo vital y entre generaciones, (4) desarrollar métodos cuasi-experimentales (por ejemplo, diseños basados en familias) para investigar los efectos contextuales en análisis contextuales, y (4) utilizar el conocimiento científico obtenido para planificar y evaluar intervenciones. El marco conceptual propuesto enfatiza que la investigación futura en epidemiología social debería cuestionar el reduccionismo que suponen los acercamientos centrados en las medias, preocupados fundamentalmente en la identificación de factores (contextuales) de riesgo, y subraya la necesidad de investigar deliberadamente los determinantes de la varianza. La epidemiología social, de hecho, no sólo está interesada en incrementar la salud (la media), sino también en comprender y reducir las desigualdades en salud (la varianza).

Palabras clave:
análisis de multinivel
ciclo vital
desigualdades en salud
efectos contextuales
epidemiología social
salud pública
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References
[Adamson et al., 2006]
J.A. Adamson, S. Ebrahim, K. Hunt.
The psychosocial versus material hypothesis to explain observed inequality in disability among older adults: Data from the West of Scotland Twenty-07 Study.
Journal of Epidemiology and Community Health, 60 (2006), pp. 974-980
[Beckman et al., 2004]
A. Beckman, J. Merlo, J.W. Lynch, U.G. Gerdtham, M. Lindstrom, T. Lithman.
Country of birth, socioeconomic position, and healthcare expenditure: A multilevel analysis of Malmö, Sweden.
Journal of Epidemiology and Community Health, 58 (2004), pp. 145-149
[Ben-Shlomo and Kuh, 2002]
Y. Ben-Shlomo, D. Kuh.
A life course approach to chronic disease epidemiology: Conceptual models, empirical challenges and interdisciplinary perspectives.
International Journal of Epidemiology, 31 (2002), pp. 285-293
[Bengtsson and Lindstrom, 2003]
T. Bengtsson, M. Lindstrom.
Airborne infectious diseases during infancy and mortality in later life in southern Sweden, 1766-1894.
International Journal of Epidemiology, 32 (2003), pp. 286-294
[Bingenheimer and Raudenbush, 2004]
J.B. Bingenheimer, S.W. Raudenbush.
Statistical and substantive inferences in public health: issues in the application of multilevel models.
Annual Review of Public Health, 25 (2004), pp. 53-77
[Braumoeller, 2006]
B. Braumoeller.
Explaining variance; Or, stuck in a moment we can’t get out of.
Political Analysis, 14 (2006), pp. 268-290
[Braumoeller, 2008]
Braumoeller, B.F. (2008). Explaining variance-rethinking social causation. Draft, v. 1.5.1. http://wwweconomiaunimiit/users/iacus/gs/aa0304/variancepdf (by 22 November 2008).
[Browne et al., 2001]
W.J. Browne, H. Goldstein, J. Rasbash.
Multiple membership multiple classification (MMMC) models.
Statistical Modelling, 1 (2001), pp. 103-124
[Carstairs, 1995]
V. Carstairs.
Deprivation indices: Their interpretation and use in relation to health.
Journal of Epidemiology and Community Health, 49 (1995), pp. 3-8
[Chaix, 2009]
B. Chaix.
Geographic life environments and coronary heart disease: A literature review, theoretical contributions, methodological updates, and a research agenda.
Annual Review of Public Health, 30 (2009), pp. 81-105
[Chaix et al., 2006]
B. Chaix, A.H. Leyland, C.E. Sabel, P. Chauvin, L. Rastam, H. Kristersson, et al.
Spatial clustering of mental disorders and associated characteristics of the neighbourhood context in Malmo, Sweden, in 2001.
Journal of Epidemiology and Community Health, 60 (2006), pp. 427-435
[Chaix et al., 2009]
B. Chaix, J. Merlo, D. Evans, C. Leal, S. Havard.
Neighbourhoods in eco-epidemiologic research: Delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur.
Social Science & Medicine, 69 (2009), pp. 1306-1310
[Chaix et al., 2005]
B. Chaix, J. Merlo, J. Gaignard, T. Lithman, A. Boalt, P. Chauvin.
The social and spatial distribution of mental and behavioral disorders related to psychoactive substance use in the city of Malmö, Sweden, 2001.
Focus on lifestyle and health research.,
[Chaix et al., 2007]
B. Chaix, M. Rosvall, J. Merlo.
Assessment of the magnitude of geographical variations and socioeconomic contextual effects on ischaemic heart disease mortality: A multilevel survival analysis of a large Swedish cohort.
Journal of Epidemiology and Community Health, 61 (2007), pp. 349-355
[Chaix et al., 2005]
B. Chaix, J. Merlo, S.V. Subramanian, J. Lynch, P. Chauvin.
Comparison of a spatial perspective with the multilevel analytical approach in neighborhood studies: The case of mental and behavioral disorders due to psychoactive substance use in Malmo, Sweden, 2001.
American Journal of Epidemiology, 162 (2005), pp. 171-182
[Clarke and Wheaton, 2007]
P. Clarke, B. Wheaton.
Addressing data sparseness in contextual population research: Using cluster analysis to create synthetic neighborhoods.
Sociological Methods Research, 35 (2007), pp. 311-351
[Cummins et al., 2007]
S. Cummins, S. Curtis, A.V. Diez-Roux, S. Macintyre.
Understanding and representing ‘place’ in health research: A relational approach.
Social Science & Medicine, 65 (2007), pp. 1825-1838
[Davey Smith et al., 2002]
G. Davey Smith, Y. Ben-Shlomo, J.W. Lynch.
Lifecourse approaches to inequalities in coronary heart disease risk.
Stress and the heart psychosocial pathways to coronary heart disease.,
[Davey Smith and Lynch, 2003]
G. Davey Smith, J.W. Lynch.
Socioeconomic differentials.
Lifecourse approach to chronic disease epidemiology.,
[Diez Roux and Mair, 2010]
A.V. Diez Roux, C. Mair.
Neighborhoods and health.
Annals of the New York Academy of Sciences, 1186 (2010), pp. 125-145
[Downs and Roche, 1979]
G.W. Downs, D.M. Roche.
Interpreting heteroscedasticity.
American Journal of Political Science, 23 (1979), pp. 816-828
[Engstrom et al., 2000]
G. Engstrom, G. Berglund, M. Goransson, O. Hansen, B. Hedblad, J. Merlo, et al.
Distribution and determinants of ischaemic heart disease in an urban population. A study from the myocardial infarction register in Malmo, Sweden.
Journal of Internal Medicine, 247 (2000), pp. 588-596
[Folland and Stano, 1989]
S. Folland, M. Stano.
Sources of small area variations in the use of medical care.
Journal of Health Economics, 8 (1989), pp. 85-107
[Folwell, 1995]
K. Folwell.
Single measures of deprivation.
Journal of Epidemiology and Community Health, 49 (1995), pp. 51-56
[Geronimus and Bound, 1998]
A.T. Geronimus, J. Bound.
Use of census-based aggregate variables to proxy for socioeconomic group: Evidence from national samples.
American Journal of Epidemiology, 148 (1998), pp. 475-486
[Goodnight et al., 2011]
J.A. Goodnight, B.B. Lahey, C.A. Van Hulle, J.L. Rodgers, P.J. Rathouz, I.D. Waldman, et al.
A quasiexperimental analysis of the influence of neighborhood disadvantage on child and adolescent antisocial behavior.
(2011),
[Gordon, 1995]
D. Gordon.
Census based deprivation indices: Their weighting and validation.
Journal of Epidemiology and Community Health, 49 (1995), pp. 39-44
[Gould, 1996]
S.J. Gould.
Full house: The spread of excellence from Plato to Darwin.
Three Rivers Press, (1996),
[Harding, 2003]
D.J. Harding.
Counterfactual models of neighborhood effects: The effect of neighborhood poverty on dropping out and teenage pregnancy.
American Journal of Sociology, 109 (2003), pp. 676-719
[Hernan and Robins, 2006]
M.A. Hernan, J.M. Robins.
Estimating causal effects from epidemiological data.
Journal of Epidemiology and Community Health, 60 (2006), pp. 578-586
[Hjerpe et al., 2011]
P. Hjerpe, H. Ohlsson, U. Lindblad, K.B. Bostrom, J. Merlo.
Understanding adherence to therapeutic guidelines: A multilevel analysis of statin prescription in the Skaraborg Primary Care Database.
European Journal of Clinical Pharmacology, 67 (2011), pp. 415-423
[Holt et al., 1996]
D. Holt, D.G. Steel, M. Tranmer.
Area homogeneity and the modifiable areal unit problem.
Geographical Systems, 3 (1996), pp. 181-200
[Hägerstrand and Pred, 1981]
T. Hägerstrand, A. Pred.
Space and time in geography: Essays dedicated to Torsten Hägerstrand.
CWK Gleerup, (1981),
[Jerrett et al., 2003]
M. Jerrett, R.T. Burnett, M.S. Goldberg, M. Sears, D. Krewski, R. Catalan, et al.
Spatial analysis for environmental health research: concepts, methods, and examples.
Journal of Toxicology and Environmental Health, Part A, 66 (2003), pp. 1783-1810
[Johnell et al., 2006]
K. Johnell, N.O. Mansson, J. Sundquist, A. Melander, G. Blennow, J. Merlo.
Neighborhood social participation, use of anxiolytic-hypnotic drugs, and women's propensity for disability pension: a multilevel analysis.
Scandinavian Journal of Public Health, 34 (2006), pp. 41-48
[Kaplan, 1999]
G.A. Kaplan.
What is the role of the social environment in understanding inequalities in health?.
Annals of the New York Academy of Sciences, 896 (1999), pp. 116-119
[Knox and Pinch, 2006]
P.L. Knox, S. Pinch.
Urban social geography: An introduction.
Pearson Education Limited, (2006),
[Krieger, 2001]
N. Krieger.
Theories for social epidemiology in the 21st century: An ecosocial perspective.
International Journal of Epidemiology, 30 (2001), pp. 668-677
[Kuh et al., 2003]
D. Kuh, Y. Ben-Shlomo, J. Lynch, J. Hallqvist.
Power C. Life course epidemiology.
Journal of Epidemiology and Community Health, 57 (2003), pp. 778-783
[Lahey et al., inpress]
Lahey et al., Lahey, B.B., D’Onofrio, B.M. (in press). All in the family: Comparing siblings to test causal hypotheses regarding environmental influences on behavior. Current Directions in Psychological Science.
[Larsen and Merlo, 2005]
K. Larsen, J. Merlo.
Appropriate assessment of neighborhood effects on individual health: Integrating random and fixed effects in multilevel logistic regression.
American Journal of Epidemiology, 161 (2005), pp. 81-88
[Lawlor and Mishra, 2009]
D.A. Lawlor, G.D. Mishra.
Family matters. Designing, analysing and understanding family-based studies in life-course epidemiology.
Oxford University Press, (2009),
[Lynch and Kaplan, 2000]
J.W. Lynch, G.A. Kaplan.
Socioeconomic position.
Social epidemiology., pp. 13-35
[Lynch et al., 2000]
J.W. Lynch, G.D. Smith, G.A. Kaplan, J.S. House.
Income inequality and mortality: Importance to health of individual income, psychosocial environment, or material conditions.
British Medical Journal, 320 (2000), pp. 1200-1204
[Lynch et al., 2010]
K.F. Lynch, S.V. Subramanian, H. Ohlsson, B. Chaix, A.A. Lernmark, J. Merlo.
Context and disease when disease risk is low: The case of type 1 diabetes in Sweden.
Journal of Epidemiology and Community Health, 64 (2010), pp. 789-795
[Macintyre et al., 2002]
S. Macintyre, A. Ellaway, S. Cummins.
Place effects on health: How can we conceptualise, operationalise and measure them?.
Social Science & Medicine, 55 (2002), pp. 125-139
[Marmot and Wilkinson, 2001]
M. Marmot, R.G. Wilkinson.
Psychosocial and material pathways in the relation between income and health: a response to Lynch et al.
British Medical Journal, 322 (2001), pp. 1233-1236
[Merlo, 2003]
J. Merlo.
Multilevel analytical approaches in social epidemiology: Measures of health variation compared with traditional measures of association.
Journal of Epidemiology and Community Health, 57 (2003), pp. 550-552
[Merlo, 2010]
J. Merlo.
Book review. Family matters: Designing, analysing and understanding family-based studies in lifecourse epidemiology.
pp. 936-937
[Merlo et al., 2004]
J. Merlo, K. Asplund, J. Lynch, L. Rastam, A. Dobson.
Population effects on individual systolic blood pressure: A multilevel analysis of the World Health Organization MONICA Project.
American Journal of Epidemiology, 159 (2004), pp. 1168-1179
[Merlo et al., 2006]
J. Merlo, K. Bengtsson-Bostrom, U. Lindblad, L. Rastam, O. Melander.
Multilevel analysis of systolic blood pressure and ACE gene I/D polymorphism in 438 Swedish families—a public health perspective.
BMC Medical Genetics, 7 (2006), pp. 14
[Merlo and Chaix, 2006]
J. Merlo, B. Chaix.
Neighbourhood effects and the real world beyond randomized community trials: A reply to Michael J. Oakes.
International Journal of Epidemiology, 35 (2006), pp. 1361-1363
[Merlo et al., 2006]
J. Merlo, B. Chaix, H. Ohlsson, A. Beckman, K. Johnell, P. Hjerpe, et al.
A brief conceptual tutorial of multilevel analysis in social epidemiology: Using measures of clustering in multilevel logistic regression to investigate contextual phenomena.
Journal of Epidemiology and Community Health, 60 (2006), pp. 290-297
[Merlo et al., 2005a]
J. Merlo, B. Chaix, M. Yang, J. Lynch, L. Rastam.
A brief conceptual tutorial of multilevel analysis in social epidemiology: Linking the statistical concept of clustering to the idea of contextual phenomenon.
Journal of Epidemiology and Community Health, 59 (2005), pp. 443-449
[Merlo et al., 2005b]
J. Merlo, B. Chaix, M. Yang, J. Lynch, L. Rastam.
A brief conceptual tutorial on multilevel analysis in social epidemiology: Interpreting neighbourhood differences and the effect of neighbourhood characteristics on individual health.
Journal of Epidemiology and Community Health, 59 (2005), pp. 1022-1028
[Merlo et al., 2009a]
J. Merlo, H. Ohlsson, K.F. Lynch, B. Chaix, S.V. Subramanian.
Individual and collective bodies: Using measures of variance and association in contextual epidemiology.
Journal of Epidemiology & Community Health, 63 (2009), pp. 1043-1048
[Merlo et al., 2009]
J. Merlo, H. Ohlsson, K.F. Lynch, B. Chaix, S.V. Subramanian.
Individual and collective bodies: Using measures of variance and association in contextual epidemiology.
Journal of Epidemiology and Community Health, 63 (2009), pp. 1043-1048
[Merlo et al., 2005]
J. Merlo, M. Yang, B. Chaix, J. Lynch, L. Rastam.
A brief conceptual tutorial on multilevel analysis in social epidemiology: Investigating contextual phenomena in different groups of people.
Journal of Epidemiology and Community Health, 59 (2005), pp. 729-736
[Messer, 2007]
L.C. Messer.
Invited commentary: Beyond the metrics for measuring neighborhood effects.
American Journal of Epidemiology, 165 (2007), pp. 868-871
[Messer et al., 2010]
L.C. Messer, J.M. Oakes, S. Mason.
Effects of socioeconomic and racial residential segregation on preterm birth: A cautionary tale of structural confounding.
American Journal of Sociology, 171 (2010), pp. 664-673
[Mujahid et al., 2007]
M.S. Mujahid, A.V. Diez Roux, J.D. Morenoff, T. Raghunathan.
Assessing the measurement properties of neighborhood scales: From psychometrics to ecometrics.
American Journal of Epidemiology, 165 (2007), pp. 858-867
[Muntaner and Chung, 2005]
C. Muntaner, H.J. Chung.
Psychosocial epidemiology, social structure, and ideology.
Journal of Epidemiology and Community Health, 59 (2005), pp. 540-541
[Muntaner et al., 2001]
C. Muntaner, J. Lynch, G.D. Smith.
Social capital, disorganized communities, and the third way: Understanding the retreat from structural inequalities in epidemiology and public health.
International Journal of Health Services, 31 (2001), pp. 213-237
[Naess et al., 2008]
O. Naess, B. Claussen, G.D. Smith, A.H. Leyland.
Life course influence of residential area on causespecific mortality.
Journal of Epidemiology and Community Health, 62 (2008), pp. 29-34
[Oakes, 2004]
J.M. Oakes.
The (mis)estimation of neighborhood effects: Causal inference for a practicable social epidemiology.
Social Science & Medicine, 58 (2004), pp. 1929-1952
[Oakes, 2006]
J.M. Oakes.
Commentary: Advancing neighbourhood- effects research-selection, inferential support, and structural confounding.
International Journal of Epidemiology, 35 (2006), pp. 643-647
[Ohlsson et al., inpress]
Ohlsson, H. & Merlo, J. (in press). Place effects for areas defined by administrative boundaries: A life course analysis of mortality and cause specific morbidity in Scania, Sweden, 2010. Social Science & Medicine.
[Ohlsson and Merlo, 2007]
H. Ohlsson, J. Merlo.
Understanding the effects of a decentralized budget on physicians compliance with guidelines for statin prescription: A multilevel methodological approach.
BMC Health Services Research, 7 (2007), pp. 68
[Ohlsson et al., 2010]
H. Ohlsson, M. Rosvall, O. Hansen, B. Chaix, J. Merlo.
Socioeconomic position and secondary preventive therapy after an AMI.
Pharmacoepidemiolofy and Drug Safety, 19 (2010), pp. 358-366
[Openshaw, 1984]
S. Openshaw.
The modifiable areal unit problem.
Geo Books, (1984),
[Pickett and Pearl, 2001]
K.E. Pickett, M. Pearl.
Multilevel analyses of neighbourhood socioeconomic context and health outcomes: A critical review.
Journal of Epidemiology & Community Health, 55 (2001), pp. 111-122
[Rasbash et al., 2000]
Rasbash, J., Browne, W., Goldstein, H., Yang, M., Plewis, I., Healy, M., et al. (2000). Modelling the variance as a function of explanatory variables A user's guide to MLwiN.http://multilevel.ioe.ac.uk/download/userman.pdf (version 2.1 ed., pp. 77-88): Multilevels Models Project, Institute of Education, University of London.
[Riva et al., 2007]
M. Riva, L. Gauvin, T.A. Barnett.
Toward the next generation of research into small area effects on health: A synthesis of multilevel investigations published since July 1998.
Journal of Epidemiology and Community Health, 61 (2007), pp. 853-861
[Rosvall et al., 2006]
M. Rosvall, B. Chaix, J. Lynch, M. Lindstrom, J. Merlo.
Similar support for three different life course socioeconomic models on predicting premature cardiovascular mortality and all-cause mortality.
BMC Public Health, 6 (2006), pp. 203
[Sampson et al., 1997]
R.J. Sampson, S.W. Raudenbush, F. Earls.
Neighborhoods and violent crime: a multilevel study of collective efficacy.
Science, 277 (1997), pp. 918-924
[Subramanian, 2004]
S.V. Subramanian.
The relevance of multilevel statistical methods for identifying causal neighborhood effects.
Social Science & Medicine, 58 (2004), pp. 1961-1967
[Susser and Susser, 1996a]
M. Susser, E. Susser.
Choosing a future for epidemiology: I. Eras and paradigms.
American Journal of Public Health, 86 (1996), pp. 668-673
[Susser and Susser, 1996b]
M. Susser, E. Susser.
Choosing a future for epidemiology: II. From black box to Chinese boxes and eco-epidemiology.
American Journal of Public Health, 86 (1996), pp. 674-677
[Wilkinson, 1997]
R.G. Wilkinson.
Socioeconomic determinants of health. Health inequalities: Relative or absolute material standards?.
British Medical Journal, 314 (1997), pp. 591-595
[Yang et al., 2009]
M. Yang, S. Eldridge, J. Merlo.
Multilevel survival analysis of health inequalities in life expectancy.
International Journal for Equity in Health, 8 (2009), pp. 31

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