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Health of mothers of young children in Canada: identifying dimensions of inequality based on socio-economic position, partnership status, race, and region

Overview of attention for article published in Canadian Journal of Public Health, February 2018
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Title
Health of mothers of young children in Canada: identifying dimensions of inequality based on socio-economic position, partnership status, race, and region
Published in
Canadian Journal of Public Health, February 2018
DOI 10.17269/s41997-018-0038-5
Pubmed ID
Authors

Sarah Brennenstuhl

Abstract

Little is known about the nature of health inequalities present among women who are mothers of young children in Canada. Therefore, the purpose of the study is to identify dimensions of inequalities based on socio-economic position, race, partner status, and region and determine whether each type of inequality is independent of another. Data are from the 2014 Canadian Community Health Survey. Women identifying as a parent living with a child ≤ 5 years, with complete data on the variables of interest, were selected (n = 2656). Poor health was defined as the presence of two or more chronic conditions. Exposures included partner status, education level, race, income, and region (Québec vs. rest of Canada). Logistic regression was used to estimate the odds of poor health according to each exposure unadjusted and adjusted for all other exposures. All analyses controlled for age and employment status. In the fully adjusted model, among mothers of young children, the odds of poor health were significantly higher among non-white identifying (OR = 1.72; 95% CI = 1.34-2.21) and lone mothers (OR = 1.80; 95% CI = 1.35-2.39), but were significantly lower among those with higher incomes (OR[per decile] = 0.86; 95% CI = 0.82-0.90) and those from Québec (vs. the rest of Canada; OR = 0.50; 95% CI = 0.38-0.67). Living in Québec compared to elsewhere in Canada appears to protect against poor health among mothers of young children. Regardless of region, health inequalities exist by socio-economic position, race, and partnership status. These findings have implications for public health programs and policies, such as universal child care.

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The data shown below were collected from the profiles of 2 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 9%
Student > Bachelor 3 9%
Researcher 2 6%
Librarian 2 6%
Student > Doctoral Student 2 6%
Other 9 26%
Unknown 13 38%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Nursing and Health Professions 5 15%
Social Sciences 5 15%
Agricultural and Biological Sciences 1 3%
Unspecified 1 3%
Other 1 3%
Unknown 14 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 April 2019.
All research outputs
#14,969,772
of 23,028,364 outputs
Outputs from Canadian Journal of Public Health
#884
of 1,181 outputs
Outputs of similar age
#199,948
of 330,212 outputs
Outputs of similar age from Canadian Journal of Public Health
#13
of 22 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,181 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 24th percentile – i.e., 24% 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 330,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.