Cause-specific mortality by partnership status : simultaneous analysis using longitudinal data from England and Wales
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Background: This paper examines cause-specific mortality by partnership status. Although non-marital cohabitation has spread rapidly in industrialised countries, only a few studies have investigated mortality by partnership status and no recent study has investigated cause-specific mortality by partnership status. Methods: We use data from the Office for National Statistics Longitudinal Study and apply competing risks survival models. Results: The simultaneous analysis shows that married individuals have lower mortality than non-married from circulatory, respiratory, digestive, alcohol and accident related causes of deaths, but not from cancer. The analysis by partnership status reveals that once we distinguish premarital and postmarital cohabitants from other non-married groups, the differences between partnered and non-partnered individuals become even more pronounced for all causes of death; this is largely due to similar cause-specific mortality levels between married and cohabiting individuals. Conclusions: With declining marriage rates and the spread of cohabitation and separation, a distinction between partnered and non-partnered individuals is critical to understanding whether and how having a partner shapes the individuals’ health behaviour and mortality. The cause-specific analysis supports both the importance of selection into partnership and the protective effect of living with someone together.
Franke , S & Kulu , H 2018 , ' Cause-specific mortality by partnership status : simultaneous analysis using longitudinal data from England and Wales ' , Journal of Epidemiology and Community Health , vol. 72 , no. 9 , pp. 838–844 . https://doi.org/10.1136/jech-2017-210339
Journal of Epidemiology and Community Health
© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1136/jech-2017-210339
DescriptionSF’s research was supported by the Economic and Social Research Council (ES/J500094/1) through the North West Doctoral Training Centre Social Statistics pathway (PhD project: ’Health, Mortality and Partnership Status: Protection or Selection’). He also held an Advanced Quantitative Methods (AQM) enhanced stipend.
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