Domestic labour, paid employment and women's health: analysis of life course data

D. Blane, L. Berney and S. M. Montgomery

Social Science & Medicine, 2001, vol. 52, issue 6, 959-965

Abstract: The relationship between the amount of domestic labour performed by a woman during her lifetime and a variety of self-reported and objective measures of her health in early old age was examined in the female members (n=155) of a data set containing considerable life course information, including full household, residential and occupational histories. Domestic labour, on its own, proved a weak predictor of health. The relationship strengthened when domestic labour was combined with the hazards of the formal paid employment which the woman had performed. This suggests that it is the combination of domestic labour plus paid employment which influences women's health. The robustness of this conclusion is indicated by its agreement with other studies which reached the same conclusion through an analysis of data with markedly different characteristics.

Keywords: Domestic; labour; Employment; Life; course; Women's; health; UK (search for similar items in EconPapers)
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0277-9536(00)00188-X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:52:y:2001:i:6:p:959-965

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01

Access Statistics for this article

Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian

More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().