Volume 31 - Article 42 | Pages 1275-1296

Maternal longevity is associated with lower infant mortality

By Graziella Caselli, Enrica Lapucci, Rosa Maria Lipsi, Lucia Pozzi, Giovannella Baggio, Ciriaco Carru, Luca Deiana, Claudio Franceschi, James W. Vaupel

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Date received:28 Jun 2014
Date published:25 Nov 2014
Word count:2618
Keywords:AKeA2 survey, centenarians, infant mortality, longevity, Sardinia
DOI:10.4054/DemRes.2014.31.42
 

Abstract

Objective: Referring to the multidisciplinary and multipurpose survey AKeA2, and focusing on family genealogy data on centenarian women and controls, this paper aims to verify the hypothesis that maternal longevity is associated with lower infant mortality in offspring, after having controlled for fertility characteristics, familial longevity and some contextual variables.

Methods: The association between the longevity of a mother and her children's infant mortality level was assessed using a multivariate Poisson Regression Model with robust estimates, which is suitable for estimating consistently and efficiently the relative risk when binary data are used.

Results: Our results show an association between longevity and infant mortality among the children of the Sardinians who survived to become centenarians. Infant mortality is significantly lower for children belonging to a mother born and living in Sassari and Oristano than Nuoro, close to each other and both located on the Western coast.

Author's Affiliation

Graziella Caselli - Università degli Studi di Roma "La Sapienza", Italy [Email]
Enrica Lapucci - Università degli Studi di Roma "La Sapienza", Italy [Email]
Rosa Maria Lipsi - Istituto Nazionale di Statistica (ISTAT), Italy [Email]
Lucia Pozzi - Università degli Studi di Sassari (UniSS), Italy [Email]
Giovannella Baggio - Università degli Studi di Padova (UNIPD), Italy [Email]
Ciriaco Carru - Università degli Studi di Sassari (UniSS), Italy [Email]
Luca Deiana - Università degli Studi di Sassari (UniSS), Italy [Email]
Claudio Franceschi - Università di Bologna (UNIBO), Italy [Email]
James W. Vaupel - Max-Planck-Institut für Demografische Forschung, Germany [Email]

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