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Parenthood and depression: is childlessness similar to sonlessness among Chinese seniors?

Published online by Cambridge University Press:  22 June 2017

MAJA DJUNDEVA ,
TOM EMERY  and
PEARL A. DYKSTRA
MAJA DJUNDEVA*
Affiliation:
Department of Public Administration and Sociology, Erasmus University, Rotterdam, The Netherlands.
TOM EMERY
Affiliation:
Department of Public Administration and Sociology, Erasmus University, Rotterdam, The Netherlands. Netherlands Interdisciplinary Demographic Institute, The Hague, The Netherlands.
PEARL A. DYKSTRA
Affiliation:
Department of Public Administration and Sociology, Erasmus University, Rotterdam, The Netherlands.
*
Address for correspondence: Maja Djundeva, Department of Public Administration and Sociology, Erasmus University Rotterdam, 3062 PA Rotterdam, The Netherlands E-mail: djundeva@fsw.eur.nl
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Abstract

We investigate how the mental health of older adults (60–85) is associated with childlessness and sonlessness in China, where gender-biased filial expectations and strong son preference exist. The China Family Panel Study (2012, N = 6,021) and ordinary least squares regression models are used to investigate the relationship between depression (Center for Epidemiologic Studies – Depression scale) and parental status, distinguishing between childless, parents of both sons and daughters, parents of only sons and parents of only daughters. Arguing that modernisation shapes gender preferences for children as well as formal care and pension provisions for older adults, we find a sharp rural–urban divide in the relationship between parental status and depression. Just having a son is not what matters as the best faring groups are parents who have both sons and daughters, regardless of the number of children. Rural childless and sonless are similar, whereas in urban areas parental status is not so salient, supporting modernisation theory.

Keywords

Chinasonlessnessintergenerational relationsdepressionmental healthparenthood
Type
Article
Information
Ageing & Society , Volume 38 , Issue 10 , October 2018 , pp. 2097 - 2121
Copyright
Copyright © Cambridge University Press 2017 

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