↓ Skip to main content

Examining the gender, ethnicity, and age dimensions of the healthy immigrant effect: Factors in the development of equitable health policy

Overview of attention for article published in International Journal for Equity in Health, February 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
127 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Examining the gender, ethnicity, and age dimensions of the healthy immigrant effect: Factors in the development of equitable health policy
Published in
International Journal for Equity in Health, February 2012
DOI 10.1186/1475-9276-11-8
Pubmed ID
Authors

Karen M Kobayashi, Steven G Prus

Abstract

This study expands on previous research on the healthy immigrant effect (HIE) in Canada by considering the effects of both immigrant and visible minority status on self-rated health for males and females in mid-(45-64) and later life (65+). The findings reveal a strong HIE among new immigrant middle-aged men, particularly non-Whites. For older men of color the reality is strikingly different: they are disadvantaged in health compared to their Canadian-born counterparts, even when a number of demographic, economic, and lifestyle factors are controlled. Health outcomes for immigrant women are in contrast to that of immigrant men. Among middle-aged women, immigrants, regardless of their ethnicity or number of years since immigration, are much more likely to report poor health compared to the Canadian-born. And, for older women, recent non-white immigrants are more likely to report better health compared to Canadian-born women, although this finding is explained by differences in demographic, economic, and lifestyle factors. Overall, the findings demonstrate the importance of considering the intersections of age, gender, and ethnicity for policymakers in assessing the health of immigrants.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
Australia 1 <1%
Spain 1 <1%
Unknown 123 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 26%
Student > Bachelor 22 17%
Student > Ph. D. Student 20 16%
Researcher 15 12%
Student > Doctoral Student 5 4%
Other 15 12%
Unknown 17 13%
Readers by discipline Count As %
Medicine and Dentistry 36 28%
Social Sciences 29 23%
Nursing and Health Professions 14 11%
Psychology 9 7%
Agricultural and Biological Sciences 5 4%
Other 13 10%
Unknown 21 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 April 2012.
All research outputs
#14,388,865
of 25,374,917 outputs
Outputs from International Journal for Equity in Health
#1,447
of 2,222 outputs
Outputs of similar age
#93,986
of 167,760 outputs
Outputs of similar age from International Journal for Equity in Health
#10
of 23 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,222 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 167,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.