Pregnancy outcomes in Italy during COVID-19 pandemic: a population-based cohort study.

OBJECTIVE: To compare the estimates of preterm birth (PTB; 22-36 weeks gestational age, GA) and stillbirth rates during COVID-19 pandemic in Italy with those recorded in the three previous years. DESIGN: A population-based cohort study of liveborn and stillborn infants was conducted using data from Regional Health Systems and comparing the pandemic period (March 1st , 2020-March 31st , 2021, N= 362,129) to an historical period (January 2017- February 2020, N=1,117,172). The cohort covered 84.3% of the births in Italy. METHODS: Poisson regressions were run in each Region and meta-analyses were performed centrally. We used an interrupted time series regression analysis to study the trend of preterm births from 2017 to 2021. MAIN OUTCOME MEASURES: The primary outcomes were PTB and stillbirths. Secondary outcomes were late PTB (32-36 weeks' GA), very PTB (<32 weeks' GA), and extremely PTB (<28 weeks' GA), overall and stratified into singleton and multiples. RESULTS: The pandemic period compared with the historical one was associated with a reduced risk for PTB (Risk Ratio: 0.91; 95% Confidence Interval, CI: 0.88, 0.93), late PTB (0.91; 0.88, 0.94), very PTB (0.88; 0.84, 0.91), and extremely PTB (0.88; 0.82, 0.95). In multiples, point estimates were not very different, but had wider CIs. No association was found for stillbirths (1.01; 0.90, 1.13). A linear decreasing trend in PTB rate was present in the historical period, with a further reduction after the lockdown. CONCLUSIONS: We demonstrated a decrease in PTB rate after the introduction of COVID-19 restriction measures, without an increase in stillbirths.

The Influence of Sociodemographic Factors, Lifestyle, and Risk Perception on Dietary Patterns in Pregnant Women Living in Highly Contaminated Areas: Data from the NEHO Birth Cohort.

During pregnancy, maternal nutrition and lifestyle play a critical role in influencing fetal development and newborn health outcomes. The aim of this study is to investigate the factors influencing the adherence to dietary patterns in pregnant women living in highly contaminated areas, and whether women with higher environmental risk perception manifest different nutritional behaviors during pregnancy. Food consumption data on 816 pregnant women from the Neonatal Environment and Health Outcomes (NEHO) residential birth cohort were analyzed. Dietary patterns were computed by principal component analysis. A multinomial logistic regression was also applied to identify sociodemographic, lifestyle, and pregnancy-related determinants of adherence to dietary patterns during pregnancy. Three patterns of food consumption-explaining 24.9% of the total variance-were identified as "prudent", "high energy", and "vegetarian" patterns. Results suggest that food choices during pregnancy follow a social gradient and align with other health behaviors during pregnancy: older, better educated, and physically active women with higher risk perception are more likely to follow healthier dietary patterns. Knowledge about what is eaten can contribute to dietary choices. Interventions to improve the prenatal nutrition knowledge of pregnant women are needed, especially concerning younger mothers and those with lower educational levels.

Development and Validation of a Novel Pre-Pregnancy Score Predictive of Preterm Birth in Nulliparous Women Using Data from Italian Healthcare Utilization Databases.

Background: Preterm birth is a major worldwide public health concern, being the leading cause of infant mortality. Understanding of risk factors remains limited, and early identification of women at high risk of preterm birth is an open challenge. Objective: The aim of the study was to develop and validate a novel pre-pregnancy score for preterm delivery in nulliparous women using information from Italian healthcare utilization databases. Study Design: Twenty-six variables independently able to predict preterm delivery were selected, using a LASSO logistic regression, from a large number of features collected in the 4 years prior to conception, related to clinical history and socio-demographic characteristics of 126,839 nulliparous women from Lombardy region who gave birth between 2012 and 2017. A weight proportional to the coefficient estimated by the model was assigned to each of the selected variables, which contributed to the Preterm Birth Score. Discrimination and calibration of the Preterm Birth Score were assessed using an internal validation set (i.e., other 54,359 deliveries from Lombardy) and two external validation sets (i.e., 14,703 and 62,131 deliveries from Marche and Sicily, respectively). Results: The occurrence of preterm delivery increased with increasing the Preterm Birth Score value in all regions in the study. Almost ideal calibration plots were obtained for the internal validation set and Marche, while expected and observed probabilities differed slightly in Sicily for high Preterm Birth Score values. The area under the receiver operating characteristic curve was 60%, 61% and 56% for the internal validation set, Marche and Sicily, respectively. Conclusions: Despite the limited discriminatory power, the Preterm Birth Score is able to stratify women according to their risk of preterm birth, allowing the early identification of mothers who are more likely to have a preterm delivery.

[A regional equity profile to assess the impact of social inequalities on determinants and health outcomes in the population residing in Sicily Region (Southern Italy)]. / Un profilo di equità regionale per la valutazione dell'impatto delle disuguaglianze sociali sui determinanti e sugli esiti di salute nella popolazione residente in Sicilia.

OBJECTIVES: to build an equity profile for assessing the impact of socioeconomic inequalities on the determinants and health outcome in Sicily (Southern Italy). DESIGN: descriptive study aimed to define an equity profile in Sicily by using a rich list of indicators of structure of the resident population and of distribution of determinants and health outcome, derived from the integration of available information and scientific evidence at regional level with high local detail. SETTING AND PARTICIPANTS: the equity profile collects available information on the health status of the population in Sicily, on the determinants, and on the use of health and social services. The characteristics of people or population groups have been explored and can produce inequalities on health which included individual and context socioeconomic status. MAIN OUTCOME MEASURES: using available information sources and study results have explored the effects of the disadvantage on health in the region: mortality, morbidity, oncological incidence, reproductive health, and some of their determinants. RESULTS: the Sicilian population tends to aging. Migration flows tend to compensate the reduction in births in Sicily and it increases the proportion of younger people and women in childbearing age. The proportion of large families tends to get smaller, whereas the proportion of single-component ones increases; the population groups with low education, unemployment, poverty, and income increases. Starting from the first thousand days of life, to continue in the other classes of the population, the different distribution of risk factors on health was identified according to different levels of deprivation. CONCLUSIONS: the Sicilian equity profile has systematized and consolidated previous experiences on the effects of disadvantage on health. Prevention interventions, oriented towards equity, should be based on the results of this study and should take care of the general aspects of actions and, at the same time, focus on vulnerable population groups.