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Differences in the risk of cardiovascular disease for movers and stayers in New Zealand: a survival analysis

  • Original Article
  • Published:
International Journal of Public Health

Abstract

Objectives

To explore if risk of cardiovascular disease (CVD) for participants who moved before their first CVD event is higher than for stayers, and examine whether the relationship is moderated by ethnicity.

Methods

The sample comprised 2,068,360 New Zealand residents enrolled in any Primary Health Organisation, aged between 30 and 84 years, had complete demographic information, and no prior history of CVD. Cox proportional regression was used to compare CVD risk between movers and stayers. The analysis was conducted for the whole sample and stratified by ethnicity.

Results

The combined analysis suggested that movers have a lower risk of CVD than stayers. This is consistent for all ethnic groups with some variation according to experience of deprivation change following residential mobility.

Conclusions

Although mobile groups may have a higher risk of CVD than immobile groups overall, risk of CVD in the period following a residential mobility event is lower than for stayers. Results are indicative of a short-term healthy migrant effect comparable to that observed for international migrants.

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References

  • Bentham G (1988) Migration and morbidity: implications for geographic studies of disease. Soc Sci Med 26:49–54

    Article  CAS  PubMed  Google Scholar 

  • Blakely T, Ajwani S, Robson B, Tobias M, Bonne M (2004) Decades of disparity: widening ethnic mortality gaps from 1980 to 1999. NZ Med J 117(1199):U995

    Google Scholar 

  • Boyle P, Norman P, Rees P (2002) Does migration exaggerate the relationship between deprivation and limiting long-term illness? A Scottish analysis. Soc Sci Med 55:21–31

    Article  PubMed  Google Scholar 

  • Bradburn MJ, Clark TG, Love SB, Altman DG (2003) Survival analysis part II: multivariate data analysis—an introduction to concepts and methods. BJC 89:431–436

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Darlington-Pollock F, Norman P, Lee A, Grey C, Mehta S, Exeter D (2016) To move or not to move? Exploring the relationship between residential mobility, risk of cardiovascular disease and ethnicity in New Zealand? Soc Sci Med 165:128–140

    Article  PubMed  Google Scholar 

  • Exeter DJ, Boyle P, Norman P (2011) Deprivation (im)mobility and cause-specific premature mortality in Scotland. Soc Sci Med 72:389–397

    Article  PubMed  Google Scholar 

  • Exeter DJ, Sabel CE, Hanham G, Lee AC, Wells S (2015) Movers and stayers: the geography of residential mobility and CVD hospitalisations in Auckland, New Zealand. Soc Sci Med 133:331–339

    Article  PubMed  Google Scholar 

  • Finney N (2011) Understanding ethnic differences in the migration of young adults within Britain from a lifecourse perspective. Trans Inst Br Geogr 36(3):455–470

    Article  Google Scholar 

  • Grey C, Wells S, Riddell T et al (2010) A comparative analysis of cardiovascular disease risk profiles of five Pacific ethnic groups in New Zealand primary practice: PREDICT CVD-13. NZ Med J 123(1325):41–52

    Google Scholar 

  • Grey C, Jackson R, Wells S, Marshall R, Riddell T, Kerr AJ (2014) Twenty-eight day and one-year case fatality after hospitalisation with an acute coronary syndrome: a nationwide data linkage study. Aust N Z J Public Health 38(3):216–220

    Article  PubMed  Google Scholar 

  • Kerr AJ, McLachlan A, Furness S, Broad J, Riddell T, Jackson R, Wells S (2008) The burden of modifiable cardiovascular risk factors in the coronary care unit by age, ethnicity and socioeconomic status—PREDICT CVD-9. NZ Med J 121(1285):20–33

    Google Scholar 

  • Larson A, Bell M, Young AF (2004) Clarifying the relationships between health and residential mobility. Soc Sci Med 59(10):2149–2160

    Article  PubMed  Google Scholar 

  • Levesque LE, Hanley JA, Kezouh A, Suissa S (2008) Problem of immortal time bias in cohort studies: example using statins for prevention progression of diabetes. BMJ 340:908–911

    Google Scholar 

  • Martikainen P, Sipilä P, Blomgren J, van Lenthe FJ (2008) The effects of migration on the relationship between area socioeconomic structure and mortality. Health Place 14:361–366

    Article  PubMed  Google Scholar 

  • Mehta S, Wells S, Riddell T et al (2014) Initiation and maintenance of cardiovascular medications following cardiovascular risk assessment in a larger primary care cohort: PREDICT CVD-16. Eur J Prev Cardiol 21(2):192–202

    Article  PubMed  Google Scholar 

  • Mi X, Hammill BG, Curtis LH, Greiner MA, Setoguchi S (2013) Impact of immortal person-time and time scale in comparative effectiveness research for medical devices: a case for implantable cardioverter-defibrillators. J Clin Epidemiol 66(8):S138–S144

    Article  PubMed  Google Scholar 

  • Ministry of Health (2004) Ethnicity data protocols for the health and disability sector. Ministry of Health, Wellington

    Google Scholar 

  • Ministry of Health (2010) Tatau kahukura: Māori health chart book, 2nd edn. Ministry of Health, Wellington

    Google Scholar 

  • Ministry of Health (2016) Enrolment in a primary health organisation. http://www.health.govt.nz/our-work/primary-health-care/about-primary-health-organisations/enrolment-primary-health-organisation. Accessed Nov 2016

  • Norman P, Boyle P, Rees P (2005) Selective migration, health and deprivation: a longitudinal analysis. Soc Sci Med 60:2755–2771

    Article  PubMed  Google Scholar 

  • Razum O, Zeeb H, Rohrmann S (2000) The ‘healthy migrant effect’—not merely a fallacy of inaccurate denominator figures. Int J Epidemiol 29(1):191–192

    Article  CAS  PubMed  Google Scholar 

  • Riddell T, Jackson R, Wells S, Broad J, Bannink L (2007) Assessing Māori/non-Māori differences in cardiovascular disease risk and risk management in routine primary care practice using web-based clinical decision support: PREDICT CVD-2. NZ Med J 120(1250):U2445

    Google Scholar 

  • Salmond C, Crampton P, Atkinson J (2007) NZDep2006 index of deprivation. University of Otago, Wellington

    Google Scholar 

  • Statistics NZ (2017) Data in the IDI. http://www.stats.govt.nz/browse_for_stats/snapshots-of-nz/integrated-data-infrastructure/idi-data.aspx. Accessed June 2017

  • Warin B, Exeter DJ, Zhao J, Kenealy T, Wells S (2016) Geography matters: the prevalence of diabetes in the Auckland region by age, gender and ethnicity. NZ Med J 31(8.1):393

    Google Scholar 

  • Wells S, Riddell T, Kerr A et al (2015) Cohort profile: the PREDICT cardiovascular disease cohort in New Zealand Primary Care (PREDICT-CVD 19). Int J Epidemiol 46(1):22

    Google Scholar 

  • Yang X, Kong AP, Luk AO, Ozaki R et al (2014) Validation of methods to control for immortal time bias in a pharmacoepidemiologic analysis of renin-angiotensin system inhibitors in type 2 diabetes. J Epidemiol 24(4):267–273

    Article  PubMed  PubMed Central  Google Scholar 

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Correspondence to Daniel Exeter.

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Ethical standard

Ethical approval for this study was first granted by the Multi-Region Ethics Committee in 2011 (ref: MEC/11/EXP/078) with subsequent approvals from the Health and Disabilities Ethics Committee.

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Darlington-Pollock, F., Shackleton, N., Norman, P. et al. Differences in the risk of cardiovascular disease for movers and stayers in New Zealand: a survival analysis. Int J Public Health 63, 173–179 (2018). https://doi.org/10.1007/s00038-017-1011-4

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  • DOI: https://doi.org/10.1007/s00038-017-1011-4

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