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J-Curve? A Meta-Analysis and Meta-Regression of Parity and Parental Mortality

Author

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  • Robin S. Högnäs

    (University of Louisville)

  • David J. Roelfs

    (University of Louisville)

  • Eran Shor

    (McGill University)

  • Christa Moore

    (Western Kentucky University)

  • Thomas Reece

    (University of Louisville)

Abstract

Research suggests that parity and parental health and mortality are associated significantly, although the pattern of association varies across studies. Studies ascribe long-term poor health (and mortality) to either low or high parity, and some studies show that both low and high parity increase the risk of adverse health for parents (i.e., forming a “J-shaped curve”). While a recent meta-analysis (Zeng et al., Sci Rep 6:19351, 2016) has partially addressed this gap in the literature, the present study further extends the literature by using a methodology that allows for more robust control of study heterogeneity and potential confounders. Using data on 223 measures of relative mortality risk from 37 studies, from samples gathered after 1945 from developed nations, meta-analysis and meta-regression (weighted linear regression) results show a nonlinear association (J-shaped curve) between parity and all-cause parental mortality, though the strength of the association varies by both sex and cohort. The results also suggest that the mortality hazard is partially explained by health selection effects.

Suggested Citation

  • Robin S. Högnäs & David J. Roelfs & Eran Shor & Christa Moore & Thomas Reece, 2017. "J-Curve? A Meta-Analysis and Meta-Regression of Parity and Parental Mortality," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(2), pages 273-308, April.
    • Handle: RePEc:kap:poprpr:v:36:y:2017:i:2:d:10.1007_s11113-016-9421-1
    DOI: 10.1007/s11113-016-9421-1
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    References listed on IDEAS

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    Cited by:

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    3. Maria Sironi & George B. Ploubidis & Emily M. Grundy, 2020. "Fertility History and Biomarkers Using Prospective Data: Evidence From the 1958 National Child Development Study," Demography, Springer;Population Association of America (PAA), vol. 57(2), pages 529-558, April.
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    5. Cristina Giudici & Silvia Polettini & Alessandra Rose & Nicolas Brouard, 2019. "Which Aspects of Elderly Living Conditions are Important to Predict Mortality? The Complex Role of Family Ties at Home and in Institutions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 1255-1283, April.

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