Revisiting causal neighborhood effects on individual ischemic heart disease risk: A quasi-experimental multilevel analysis among Swedish siblings

Social Science and Medicine

Volumn 76, Issue 1, 2013, Pages 39-46

  Merlo, Juan ^a   Ohlsson, Henrik ^b   Chaix, Basile ^c,d   Lichtenstein, Paul ^e   Kawachi, Ichiro ^f   Subramanian, S V ^f  

^a LUND UNIVERSITY   (Sweden)

^b Unit for Primary Health Care Research ^*  (Sweden)

^c INSERM   (France)

^d SORBONNE UNIVERSITÉ   (France)

^e KAROLINSKA INSTITUTE   (Sweden)

^f HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Causality; Multilevel analysis; Myocardial ischemia; Residence characteristics; Siblings; Social medicine; Sweden

Indexed keywords

ADMINISTRATIVE FRAMEWORK; CARDIOVASCULAR DISEASE; ENVIRONMENTAL FACTOR; NEIGHBORHOOD; REGRESSION ANALYSIS;

ADULT; ARTICLE; CARDIOVASCULAR RISK; DISEASE ASSOCIATION; HUMAN; INCOME; ISCHEMIC HEART DISEASE; MAJOR CLINICAL STUDY; MALE; MULTILEVEL ANALYSIS; NEIGHBORHOOD; QUASI EXPERIMENTAL STUDY; RESIDENTIAL AREA; RISK ASSESSMENT; SOCIAL ENVIRONMENT; SOCIOECONOMICS; SWEDEN;

HUMANS; MALE; MIDDLE AGED; MULTILEVEL ANALYSIS; MYOCARDIAL ISCHEMIA; POVERTY AREAS; REGISTRIES; RESIDENCE CHARACTERISTICS; RISK ASSESSMENT; RISK FACTORS; SIBLINGS; SWEDEN;

SWEDEN;

EID: 84870951476     PISSN: 02779536     EISSN: 18735347     Source Type: Journal    
DOI: 10.1016/j.socscimed.2012.08.034     Document Type: Article

References (43)

1. Boyle M.H., Willms J.D. Place effects for areas defined by administrative boundaries. American Journal of Epidemiology 1999, 149:577-585.
2. Browne W.J. MCMC estimation in MLwiN (version 2.13) 2009, Centre for Multilevel Modelling, University of Bristol. http://www.bristol.ac.uk/cmm/software/mlwin/download/mcmc-print.pdf.
3. Browne W.J. Parameter expansion. MCMC estimation in MLwiN (version 2.13) 2009, Centre for Multilevel Modelling, University of Bristol, Bristol.
4. Browne W.J., Goldstein H., Rasbash J. Multiple membership multiple classification (MMMC) models. Statistical Modelling 2001, 1:103-124.
5. Browne W., Subramanian S., Jones K., Goldstein H. Variance partitioning in multilevel logistic models that exhibit overdispersion. Journal of the Royal Statistical Society: Series A (Statistics in Society) 2005, 168:599-613.
6. Carlin J.B., Gurrin L.C., Sterne J.A., Morley R., Dwyer T. Regression models for twin studies: a critical review. International Journal of Epidemiology 2005, 34:1089-1099.
7. Chaix B. Geographic life environments and coronary heart disease: a literature review, theoretical contributions, methodological updates, and a research agenda. Annual Review of Public Health 2009, 10.1146/annurev.publhealth.031308.100158.
8. Clarke P., Wheaton B. Addressing data sparseness in contextual population research: using cluster analysis to create synthetic neighborhoods. Sociological Methods Research 2007, 35:311-351.
9. Cummins S., Curtis S., Diez-Roux A.V., Macintyre S. Understanding and representing 'place' in health research: a relational approach. Social Science & Medicine 2007, 65:1825-1838.
10. D'Onofrio B.M., Singh A.L., Iliadou A., Lambe M., Hultman C.M., Neiderhiser J.M., et al. A quasi-experimental study of maternal smoking during pregnancy and offspring academic achievement. Child Development 2010, 81(1):80-100.
11. Diez Roux A.V. Investigating neighborhood and area effects on health. American Journal of Public Health 2001, 91:1783-1789.
12. Diez Roux A.V. Estimating neighborhood health effects: the challenges of causal inference in a complex world. Social Science & Medicine 2004, 58:1953-1960.
13. Duncan C., Jones K., Moon G. Do places matter? A multi-level analysis of regional variations in health-related behaviour in Britain. Social Science & Medicine 1993, 37:725-733.
14. Goldstein H., Browne W., Rasbash J. Partitioning variation in generalised linear multilevel models. Understanding Statistics 2002, 1:223-232.
15. Goodnight J.A., Lahey B.B., Van Hulle C.A., Rodgers J.L., Rathouz P.J., Waldman I.D., et al. A quasi-experimental analysis of the influence of neighborhood disadvantage on child and adolescent antisocial behavior. Journal of Abnormal Psychology 2012, 121(1):95-108.
16. Hernan M.A., Robins J.M. Estimating causal effects from epidemiological data. Journal of Epidemiology and Community Health 2006, 60:578-586.
17. Islam M.K., Merlo J., Kawachi I., Lindstrom M., Gerdtham U.G. Social capital and health: does egalitarianism matter? A literature review. International Journal for Equity in Health 2006, 5:3.
18. Kawachi I., Berkman L.F. Neighborhoods and health 2003, Oxford University Press, Oxford.
19. Lahey B.B., D'Onofrio B.M. All in the family: comparing siblings to test causal hypotheses regarding environmental influences on behavior. Current Directions in Psychological Science 2010, 19:319-323.
20. Larsen K., Merlo J. Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. American Journal of Epidemiology 2005, 161:81-88.
21. Family matters. Designing, analysing and understanding family-based studies in life-course epidemiology 2009, Oxford University Press, New York. D.A. Lawlor, G.D. Mishra (Eds.).
22. Li J., Gray B.R., Bates D.M. An empirical study of statistical properties of variance partition coefficients for multi-level logistic regression models. Communications in Statistics - Simulation and Computation 2008, 37:2010-2026.
23. Merlo J. Multilevel analytical approaches in social epidemiology: measures of health variation compared with traditional measures of association. Journal of Epidemiology and Community Health 2003, 57:550-552.
24. Merlo J. (Book review) family matters: designing, analysing and understanding family-based studies in life-course epidemiology. International Journal of Epidemiology 2010, 39(3):936-937. first published online January 16, 2010. 10.1093/ije/dyp387.
25. Merlo J. Contextual influences on the individual life course: building a research framework for social epidemiology. Psychosocial Intervention 2011, 20:109-118. http://bit.ly/i5s64N.
26. Merlo J., Asplund K., Lynch J., Rastam L., Dobson A. Population effects on individual systolic blood pressure: a multilevel analysis of the World Health Organization MONICA project. American Journal of Epidemiology 2004, 159:1168-1179.
27. Merlo J., Bengtsson-Bostrom K., Lindblad U., Rastam L., Melander O. Multilevel analysis of systolic blood pressure and ACE gene I/D polymorphism in 438 Swedish families - a public health perspective. BMC Medical Genetics 2006, 7:14.
28. Merlo J., Chaix B. Neighbourhood effects and the real world beyond randomized community trials: a reply to Michael J Oakes. International Journal of Epidemiology 2006, 35:1361-1363.
29. Merlo J., Chaix B., Ohlsson H., Beckman A., Johnell K., Hjerpe P., 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 2006, 60:290-297. 1470-2738 (Electronic).
30. Merlo J., Chaix B., Yang M., Lynch J., Rastam L. 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 2005, 59:443-449. 1470-2738 (Electronic).
31. Merlo J., Ohlsson H., Lynch K.F., Chaix B., Subramanian S.V. Individual and collective bodies: using measures of variance and association in contextual epidemiology. Journal of Epidemiology and Community Health 2009, 63:1043-1048. 1470-2738 (Electronic).
32. Merlo J., Ostergren P.O., Hagberg O., Lindstrom M., Lindgren A., Melander A., et al. Diastolic blood pressure and area of residence: multilevel versus ecological analysis of social inequity. Journal of Epidemiology and Community Health 2001, 55:791-798.
33. Merlo J., Viciana-Fernández F.J., Ramiro-Fariñas D. Bringing the individual back to small-area variation studies: a multilevel analysis of all-cause mortality in Andalusia, Spain. Social Science & Medicine 2012, 75(8):1477-1487.
34. Messer L.C. Invited commentary: beyond the metrics for measuring neighborhood effects. American Journal of Epidemiology 2007, 165:868-871. discussion 872-863.
35. Oakes J.M. The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology. Social Science & Medicine 2004, 58:1929-1952.
36. Ohlsson H., Merlo J. Place effects for areas defined by administrative boundaries: a life course analysis of mortality and cause specific morbidity in Scania, Sweden. Social Science & Medicine 2011, 73:1145-1151.
37. Petronis K.R., Anthony J.C. A different kind of contextual effect: geographical clustering of cocaine incidence in the USA. Journal of Epidemiology and Community Health 2003, 57:893-900.
38. Pickett K.E., Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. Journal of Epidemiology and Community Health 2001, 55:111-122.
39. Shavers V.L. Measurement of socioeconomic status in health disparities research. Journal of the National Medical Association 2007, 99:1013-1023.
40. Spiegelhalter D.J., Best N.G., Carlin B.P., van der Linde A. Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society: Series B 2002, 64:583-639.
41. Statistics Sweden Multi-generation register. BE96 Bakgrundsfakta. Befolknings- och välfärdsstatistik 2009, Stockholm. S. Sweden (Ed.).
42. Subramanian S.V., Glymour M.M., Kawachi I. Identifying causal ecologic effects on health: a methodological assessment. Macrosocial determinants of population health 2007, Springer Media, New York. S. Galea (Ed.).
43. Sundquist K., Malmstrom M., Johansson S.E. Neighbourhood deprivation and incidence of coronary heart disease: a multilevel study of 2.6 million women and men in Sweden. Journal of Epidemiology and Community Health 2004, 58:71-77.