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Does the psychosocial quality of unpaid family work contribute to educational disparities in mental health among employed partnered mothers?

Overview of attention for article published in International Archives of Occupational and Environmental Health, April 2018
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Title
Does the psychosocial quality of unpaid family work contribute to educational disparities in mental health among employed partnered mothers?
Published in
International Archives of Occupational and Environmental Health, April 2018
DOI 10.1007/s00420-018-1310-y
Pubmed ID
Authors

Bonnie Janzen, Laurie-ann M. Hellsten

Abstract

The contribution of unpaid family work quality to understanding social inequalities in women's mental health has been understudied and further limited by a scarcity of psychometrically sound instruments available to measure family work. Therefore, using a multi-item scale of family work quality with evidence of validity and reliability, the overall aim of the present study was to determine whether psychosocial qualities of unpaid family work contribute to educational inequities in women's mental health. Study participants in this cross-sectional study were 512 employed partnered mothers living in a Canadian province and recruited from an online research panel. The dependent variable was psychological distress. In addition to a 28-item measure assessing five dimensions of unpaid family work quality, independent variables included material deprivation, job decision latitude, job demands and several measures of the work-family interface. Multiple linear regression was the primary analysis. Compared to women with high school or less, university educated women reported lower psychological distress [b = - 2.23 (SE = 0.50) p = 0.001]. The introduction of material deprivation into the model resulted in the largest reduction to the education disparity (51%), followed by equity in responsibility for unpaid family work (25%), family-to-work facilitation (22%), and decision latitude in paid work (21%). When entered simultaneously into the final model, the association between education and psychological distress was reduced by 70% and became statistically non-significant [b = - 0.68 (SE = 0.47) p = 0.10]. In addition to the more established mechanisms of material conditions and decision latitude to explain mental health disparities, inequity in responsibility for unpaid family work may also play a role.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Student > Ph. D. Student 7 14%
Student > Bachelor 5 10%
Student > Doctoral Student 5 10%
Researcher 3 6%
Other 2 4%
Unknown 22 43%
Readers by discipline Count As %
Psychology 11 22%
Social Sciences 6 12%
Agricultural and Biological Sciences 2 4%
Business, Management and Accounting 1 2%
Nursing and Health Professions 1 2%
Other 7 14%
Unknown 23 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 May 2018.
All research outputs
#21,164,509
of 23,815,455 outputs
Outputs from International Archives of Occupational and Environmental Health
#1,887
of 1,988 outputs
Outputs of similar age
#289,621
of 328,015 outputs
Outputs of similar age from International Archives of Occupational and Environmental Health
#13
of 13 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,988 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 1st percentile – i.e., 1% 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 328,015 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.