Young maternal age at first birth and mental health later in life: does the association vary by birth cohort?

Aitken, Zoe, Hewitt, Belinda, Keogh, Louise, LaMontagne, Anthony D., Bentley, Rebecca and Kavanagh, Anne M. 2016, Young maternal age at first birth and mental health later in life: does the association vary by birth cohort?, Social science & medicine, vol. 157, pp. 9-17, doi: 10.1016/j.socscimed.2016.03.037.

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Title Young maternal age at first birth and mental health later in life: does the association vary by birth cohort?
Author(s) Aitken, Zoe
Hewitt, Belinda
Keogh, Louise
LaMontagne, Anthony D.ORCID iD for LaMontagne, Anthony D. orcid.org/0000-0002-5811-5906
Bentley, Rebecca
Kavanagh, Anne M.
Journal name Social science & medicine
Volume number 157
Start page 9
End page 17
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-05
ISSN 1873-5347
Keyword(s) Australia
cohort effects
health disparities
maternal age
mental health
time trends
women
Science & Technology
Social Sciences
Life Sciences & Biomedicine
Public, Environmental & Occupational Health
Social Sciences, Biomedical
Biomedical Social Sciences
DEPRESSIVE SYMPTOMS
SOCIOECONOMIC-STATUS
EARLY MOTHERHOOD
SOCIAL SUPPORT
PERSPECTIVE
Summary BACKGROUND: It is well established that maternal age at childbirth has implications for women's mental health in the short term, however there has been little research regarding longer term implications and whether this association has changed over time. We investigated longer term mental health consequences for young mothers in Australia and contrasted the effects between three birth cohorts. METHODS: Using thirteen waves of data from 4262 women aged 40 years or above participating in the Household, Income and Labour Dynamics in Australia Survey, we compared the mental health of women who had their first child aged 15-19 years, 20-24 years, and 25 years and older. Mental health was measured using the mental health component summary score of the SF-36. We used random-effects linear regression models to generate estimates of the association between age at first birth and mental health, adjusted for early life socioeconomic characteristics (country of birth, parents' employment status and occupation) and later life socioeconomic characteristics (education, employment, income, housing tenure, relationship status and social support). We examined whether the association changed over time, testing for effect modification across three successive birth cohorts. RESULTS: In models adjusted for early life and later life socioeconomic characteristics, there was strong evidence of an association between teenage births and poor mental health, with mental health scores on average 2.76 to 3.96 points lower for mothers aged younger than 20 years than for mothers aged 25 years and older (Late Baby Boom (born 1936-1945): -3.96, 95% CI -5.38, -2.54; Early Baby Boom (born 1946-1955): -3.01, 95% CI -4.32, -1.69; Lucky Few (born 1956-1965): -2.76, 95% CI -4.34, -1.18), and evidence of an association for mothers aged 20-24 years compared to mothers aged 25 years and older in the most recent birth cohort only (-1.09, 95% CI -2.01, -0.17). There was some indication (though weak) that the association increased in more recent cohorts. CONCLUSION: This study highlights that young mothers, and particularly teenage mothers, are a vulnerable group at high risk of poor mental health outcomes compared to mothers aged 25 years and above, and there was some suggestion (though weak) that the health disparities increased over time.
Language eng
DOI 10.1016/j.socscimed.2016.03.037
Field of Research 111714 Mental Health
1117 Public Health And Health Services
1601 Anthropology
1608 Sociology
Socio Economic Objective 920410 Mental Health
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082917

Document type: Journal Article
Collections: School of Health and Social Development
Population Health
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