We present the results of a study performed on a Sicilian population of children with Down syndrome (DS) 0–14 years of age, observed between 1977 and 1988. Data from the present report concern 382 subjects with nonmosaic 21 trisomy, including 239 males (62.6%) and 143 females (37.4%). We excluded all DS children observed in the same period with associated pathology (congenital heart defects, gastrointestinal malformations, malabsorption, hypothyroidism, and thalassemia). Overall, 1,464 measurements were performed of length or height, weight, and head circumference. Means and standard deviation (SD) were calculated for all of these parameters. Our data confirm a trend toward a progressive improvement of growth in children with DS, as shown in other recent reports. The purpose of this study was also to create a “normal growth pattern” useful to evaluate DS children and also to diagnose early pathologic conditions affecting growth, such as autoimmune diseases.

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In small populations, mortality rates are characterized by a great volatility, the datasets are often available for a few years and suffer from missing data. Therefore, standard mortality models may produce high uncertain and biologically improbable projections. In this paper, we deal with the mortality projections of the Maltese population, a small country with less than 500,000 inhabitants, whose data on exposures and observed deaths suffers from all the typical problems of small populations. We concentrate our analysis on older adult mortality. Starting from some recent suggestions in the literature, we assume that the mortality of a small population can be modeled starting from the mortality of a bigger one (the reference population) adding a spread. The first part of the paper is dedicated to the choice of the reference population, then we test alternative mortality models. Finally, we verify the capacity of the proposed approach to reduce the volatility of the mortality projections. The results obtained show that the model is able to significantly reduce the uncertainty of projected mortality rates and to ensure their coherent and biologically reasonable evolution.

We argue that media-conveyed economic narratives are crucial for understanding contemporary fertility dynamics, net of objective economic constraints. Individuals use these narratives to project themselves into an actionable imagined future and make decisions that may be relatively independent from their actual economic situation. We test this hypothesis for Italy by combining individual-level data from the 2009 and 2016 releases of the nationally representative Family and Social Subjects Survey with Media Tenor data on the coverage of the economy in the evening newscast of Italian TV's most-viewed channel (Rai 1). Our findings reveal that both the incidence and tone of news reports on the state of the economy are associated with fertility behavior. An increase in the number of negative economic news items is negatively associated with fertility, whereas an increase in positive items is positively correlated with fertility. Interestingly, when positive news items outnumber negative ones, an increase in the share of economic reports is positively associated with fertility. These associations are statistically significant and substantially relevant, net of traditional individual and contextual socioeconomic fertility correlates. Overall, our findings bolster the claim that media-conveyed narratives of the economy influence fertility behaviors.