2018
DOI: 10.1016/j.healthplace.2018.07.010
|View full text |Cite
|
Sign up to set email alerts
|

Longitudinal deprivation trajectories and risk of cardiovascular disease in New Zealand

Abstract: We used longitudinal information on area deprivation status to explore the relationship between residential-deprivation mobility and Cardiovascular Disease (CVD). Data from 2,418,397 individuals who were: enrolled in any Primary Health Organisation within New Zealand (NZ) during at least 1 of 34 calendar quarters between 1st January 2006 and 30th June 2014; aged between 30 and 84 years (inclusive) at the start of the study period; had no prior history of CVD; and had recorded address information were analysed.… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
8
0
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 11 publications
(9 citation statements)
references
References 45 publications
0
8
0
1
Order By: Relevance
“…For example, with the increasing availability of rich longitudinal data, it is possible to examine trajectories of moves -and therefore some of the power dynamics at play -rather than only exploring the fact of relocation between two points in space and the associations with different health outcomes (e.g. Shackleton et al, 2018). Future work should look to explicitly interpret different socio-spatial trajectories and the influence on health outcomes within the wider sociohistorical and political context that shaped them, whether in terms of period effects, or where data availability allows, for particular cohorts (see e.g.…”
Section: Methodological Mobilisationmentioning
confidence: 99%
See 2 more Smart Citations
“…For example, with the increasing availability of rich longitudinal data, it is possible to examine trajectories of moves -and therefore some of the power dynamics at play -rather than only exploring the fact of relocation between two points in space and the associations with different health outcomes (e.g. Shackleton et al, 2018). Future work should look to explicitly interpret different socio-spatial trajectories and the influence on health outcomes within the wider sociohistorical and political context that shaped them, whether in terms of period effects, or where data availability allows, for particular cohorts (see e.g.…”
Section: Methodological Mobilisationmentioning
confidence: 99%
“…Lu and Qin, 2014); through the application of advanced statistical methods such as multilevel modelling (Owen et al, 2016), a combination of matching methods and logistic regression (e.g. Green et al, 2017), sequence analysis (Shackleton et al, 2018) or cox regression (a form of survival analysis) (Gartner et al, 2018). Broadly speaking, evidence from these types of research suggests that health-selective migration can contribute to socio-spatial inequalities in health at different spatial scales and in different contexts.…”
Section: Researching Migration Health Inequalities and Health-sementioning
confidence: 99%
See 1 more Smart Citation
“…Increasing intake of artificial trans fats sourced from lipid products has been recognized as a risk of cardiovascular disease in the medical community [10][11][12]. Briefly, the chance of getting coronary heart disease increase by up to 29% with an increase intaking of 2% in caloric intake from artificial trans fats [13].…”
Section: Introductionmentioning
confidence: 99%
“…To my knowledge, most prior studies on the health of Mexican indigenous migrants are based on research collected at the destination or after they have returned to their origin community. While we do not know about indigenous peoples’ pre-migration health, individuals who migrate domestically from more deprived to less deprived areas (as is usually the case for indigenous migrants) tend to be healthier than non-migrants in the sending community (Norman, Boyle, and Rees 2005; Shackleton, Darlington-Pollock, Norman, Jackson, & Exeter, 2018). Research on indigenous residential mobility provides additional evidence of potential health selection.…”
Section: Introductionmentioning
confidence: 99%