Evidence map›Paper›PMID 28707009›Full record

ArticleInternational journal of public health2018

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

Frances Darlington-Pollock, Nichola Shackleton, Paul Norman, Arier C Lee, Daniel Exeter

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Article in International journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Frances Darlington-PollockQueen Mary University of London, London, UK.ORCID http://orcid.org/0000-0001-5544-4459
Nichola ShackletonUniversity of Auckland, Auckland, New Zealand.
Paul NormanUniversity of Leeds, Leeds, UK.
Arier C LeeUniversity of Auckland, Auckland, New Zealand.
Daniel ExeterUniversity of Auckland, Auckland, New Zealand. d.exeter@auckland.ac.nz.
University of Auckland · NZQueen Mary University of London · GBUniversity of Leeds · GB

Funding

Health Research Council of New Zealand 11/800Health Research Council of New Zealand 12/428
6 · The paper itself

Abstract

objectivesTo 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.

methodsThe 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.

resultsThe 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.

conclusionsAlthough 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.

Indexed as

AdultAgedAged, 80 and overCardiovascular DiseasesEthnicityFemaleHumansMaleMiddle AgedNew ZealandPopulation DynamicsRisk FactorsSurvival AnalysisTransients and MigrantsCardiovascular diseaseDeprivationNew ZealandResidential mobilitySurvival analysis

Identifiers

PMID28707009
OpenAlexW2734790777

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.