Evolution in human life-history traits is influenced by environmental factors and, when genetic components underlie the relations, by micro-evolutionary forces. Age at reproduction is largely influenced by the familial cultural context and socio-economic level, besides the maternal well-being and genetic background. Sardinian population is characterized by historico-geographical isolation, and differentiates from Italian mainland and other European populations in bio-demographic and cultural characteristics, among which the tendency to delay maternity persisting through generations. In our study we investigated whether, in Sardinia, areas of “reproductive longevity” exist, where a higher-than-average incidence of late maternities combines with a lower-than-average cost in terms of perinatal death. Data from the Italian Central Institute of Statistics regard all 1980-96 Sardinian births. Using spatial analysis of late maternity (proportion of babies born to ³35year-old mothers) and associated perinatal mortality (proportion of babies stillborn and dead within 0-6 days in ³35year-old mothers) we aimed at singling out areas where the indicators run high and low, respectively. The perinatal mortality cost associated with the advanced maternal age (OddsRatios [95%CI]) was evaluated through multiple logistic regression models. We identified central inland excess areas qualified by higher incidence of late maternities (27% vs 22% in non-excess area), and lower cost in perinatal mortality (OR=1.38[1.04-1.84] vs OR=1.74[1.55-1.96] in non-excess area). In these “reproductive longevity” areas the inbreeding coefficient was 3.7 fold higher than in the non-excess areas, suggesting possible population homozygosity in genetic factors affecting the trait. Further and deeper investigations on biological and environmental determinants could focus on these target areas.

Late reproduction behaviour in Sardinia: spatial analysis suggests local aptitude towards reproductive longevity

ASTOLFI, PAOLA;
2009-01-01

Abstract

Evolution in human life-history traits is influenced by environmental factors and, when genetic components underlie the relations, by micro-evolutionary forces. Age at reproduction is largely influenced by the familial cultural context and socio-economic level, besides the maternal well-being and genetic background. Sardinian population is characterized by historico-geographical isolation, and differentiates from Italian mainland and other European populations in bio-demographic and cultural characteristics, among which the tendency to delay maternity persisting through generations. In our study we investigated whether, in Sardinia, areas of “reproductive longevity” exist, where a higher-than-average incidence of late maternities combines with a lower-than-average cost in terms of perinatal death. Data from the Italian Central Institute of Statistics regard all 1980-96 Sardinian births. Using spatial analysis of late maternity (proportion of babies born to ³35year-old mothers) and associated perinatal mortality (proportion of babies stillborn and dead within 0-6 days in ³35year-old mothers) we aimed at singling out areas where the indicators run high and low, respectively. The perinatal mortality cost associated with the advanced maternal age (OddsRatios [95%CI]) was evaluated through multiple logistic regression models. We identified central inland excess areas qualified by higher incidence of late maternities (27% vs 22% in non-excess area), and lower cost in perinatal mortality (OR=1.38[1.04-1.84] vs OR=1.74[1.55-1.96] in non-excess area). In these “reproductive longevity” areas the inbreeding coefficient was 3.7 fold higher than in the non-excess areas, suggesting possible population homozygosity in genetic factors affecting the trait. Further and deeper investigations on biological and environmental determinants could focus on these target areas.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/116790
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact