Disentangling the influence of neighborhood and individual characteristics on early residential mobility among newly diagnosed patients with schizophrenia: a multilevel analysis
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Early residential mobility of schizophrenic patients may relate to discontinuity of treatment and adverse outcome. However, factors influencing early residential mobility of these patients are still poorly examined. The aim of this study was to disentangle the influence of individual and neighborhood characteristics on early residential mobility of schizophrenic patients.
The study used administrative data of 13, 400 individuals newly diagnosed with schizophrenia in Quebec between 2001 and 2002. These individuals were nested in 163 different health territories. Multilevel analyses were used to assess the contribution of individual and neighborhood characteristics on early residential mobility.
The final model indicates that at the individual level, being men, wonder patients and physical comorbidity increased the likelihood of early residential mobility whereas older patients were less likely to migrate earlier. The health territory level explains about 7 % of the variation of early residential mobility and variables influencing residential mobility at this level are the fourth and the third quartiles of the population density.
Factors influencing early residential mobility of schizophrenic patients are located at both individual and neighborhood levels. This suggests that policies targeting only one-level factors are unlikely to significantly delays early residential mobility.
KeywordsEarly residential mobility Multilevel analysis Neighborhood and health Schizophrenia Public health
This project was sponsored by AstraZeneca Canada Inc. through its “Prends soin de toi” program. None of the authors received salaries, consultation fees or any reimbursement from this company, nor held any shares in this organization.
Conflict of interest
The authors declare that they have no conflict of interest.
The study and material was approved by the ethic committee of the Université de Sherbrooke.
- 5.Levy-Storms L, Steven WP (2003) Use of mammography screening among older samoan women in Los Angeles county: a diffusion network approach. Soc Sci Med 281:2035–2040Google Scholar
- 12.Berkman LF, George FinkAssociate Editors:Bruce M, Kloet ERd, Robert R, George C, Andrew S, Noel R, Ian C, Giora F (2007) Social Networks and Social Isolation. In: Encyclopedia of stress. Academic Press, New York, pp 523–527Google Scholar
- 13.Beatty C, Lawless P, Pearson S, Wilson I (2009) Residential mobility and outcome change in deprived areas: evidence from the new deal for communities programme. Centre for Regional Economic and Social Research, Sheffield Hallam University, LondonGoogle Scholar
- 16.Ngamini Ngui A, Cohen AA, Courteau J, Lesage A, Fleury M-J, Grégoire J-P, Moisan J, Vanasse A (2013) Does elapsed time between first diagnosis of schizophrenia and migration between health territories vary by place of residence? A survival analysis approach. Health Place 20:66–74PubMedCrossRefGoogle Scholar
- 23.Ngamini Ngui A, Apparicio P (2011) L’accessibilité potentielle aux services de santé mentale à Montréal: approche par les systèmes d’information géographique Revue d’Épidémiologie et de Santé Publique 59: 369–378Google Scholar
- 32.Berkman LF, Glass T (2000) Social integration, social networks, social support, and health. In: Berkman LF, Kawachi I (eds) Social epidemiology. Oxford University Press, Oxford, pp 137–173Google Scholar
- 38.O.M.S (2008) Classification statistique internationale des maladies et des problèmes de santé connexes: CIM-10, vol 10. O.M.S, GenèveGoogle Scholar
- 42.Barakett R (2002) Précis annoté de la ioi surles services de santé et les services sociaux, vol 3. Yvon Blais Inc., CowansvilleGoogle Scholar
- 46.Canada (2011) Census Dictionary. vol 98-301. Statistics CanadaGoogle Scholar
- 47.Pampalon R, Hamel D, Gamache P, Philibert MD, Raymond G, Simpson A (2012) An area-based material and social deprivation index for public health in Quebec and Canada. Can J Public Health Revue canadienne de sante publique 103(8 Suppl 2):S17–S22Google Scholar
- 53.Leyland AH, Goldstein H (eds) (2001) Multilevel modelling of health statistics. Wiley, West SussexGoogle Scholar
- 54.Healy MJR (2001) Multilevel data and their analysis. In: Leyland AH, Goldstein H (eds) Multilevel modelling of health statistics. Wiley, West Sussex, pp 1–11Google Scholar
- 55.Hox J (2002) Multilevel analysis: techniques and applications. Lawrence Erlbaun Associates, MahwahGoogle Scholar
- 56.Rice N (2001) Binomial regression. In: Leyland AH, Goldstein H (eds) Multilevel modelling of health statistics. Wiley, West Sussex, pp 27–43Google Scholar
- 57.Snijders T, Bosker R (1999) Multilevel analysis: an introduction to basic and advanced mutlilevel modeling. SAGE Publications, LondonGoogle Scholar
- 58.Raudenbush SW, Bryk AS (2002) Hierarchical linear models: applications and data analysis methods, vol 2. Sage Publications, Thousand OaksGoogle Scholar
- 60.Tabachnick BG, Fidell LS (2007) Using Multivariate Statistics, vol 5. Pearson Education Inc., New YorkGoogle Scholar
- 66.Fox JW (1990) Social class, mental illness, and social mobility: the social selection-drift hypothesis for serious mental illness. Am Sociol Assoc 31(4):344–353Google Scholar
- 71.Genberg BL, Gange SJ, Go VF, Celentano DD, Kirk GD, Latkin CA, Mehta SH (2011) The effect of neighborhood deprivation and residential relocation on long-term injection cessation among injection drug users (IDUs) in Baltimore, Maryland. Addiction (Abingdon, England) 106(11):1966–1974CrossRefGoogle Scholar
- 74.Wong D (2009) The modifiable areal unit problem (MAUP). In: Fotheringham SA, Rogerson PA (eds) The SAGE handbook of spatial analysis. SAGE, London, pp 105–123Google Scholar