| Title |
Differences in the risk of cardiovascular disease for movers and stayers in New Zealand: a survival analysis
|
|---|---|
| Published in |
International Journal of Public Health, July 2017
|
| DOI | 10.1007/s00038-017-1011-4 |
| Pubmed ID | |
| Authors |
Frances Darlington-Pollock, Nichola Shackleton, Paul Norman, Arier C. Lee, Daniel Exeter |
| Abstract |
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. 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. 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. 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. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 32% |
| Student > Master | 3 | 14% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 4 | 18% |
| Nursing and Health Professions | 2 | 9% |
| Arts and Humanities | 1 | 5% |
| Environmental Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 5 | 23% |
| Unknown | 8 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 July 2017.
All research outputs
#8,428,959
of 25,382,440 outputs
Outputs from International Journal of Public Health
#864
of 1,900 outputs
Outputs of similar age
#124,016
of 324,713 outputs
Outputs of similar age from International Journal of Public Health
#30
of 44 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 54% of its peers.
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We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.