AI Article Synopsis

  • Recent studies indicate that increased uncertainty correlates with a decline in fertility rates.
  • The research focuses on how social trust acts as a coping mechanism during times of heightened uncertainty, particularly in the context of Italy's economic recession from 2004 to 2013.
  • Findings reveal that higher social trust positively influences fertility rates, especially among younger individuals, and that its effectiveness diminishes when public childcare services are more accessible, suggesting that government policy can help mitigate low trust levels.

Article Abstract

Recent studies have shown higher uncertainty to be associated with fertility decline. This study considers the role of social trust as a coping mechanism when general uncertainty increases. We analyse the fertility data of Italian provinces from 2004 to 2013, thereby incorporating the period of economic recession, which unexpectedly and exogenously increased uncertainty across the population. We find a robust and significantly positive impact of social trust on fertility, which is stronger among younger age groups. Moreover, we find that the buffer effect of trust decreases with the level of public childcare provision, suggesting that low trust endowments may be counterbalanced through public policy.

Download full-text PDF

Source
http://dx.doi.org/10.1080/00324728.2020.1742927DOI Listing

Publication Analysis

Top Keywords

trust fertility
8
social trust
8
trust
5
fertility uncertain
4
uncertain times
4
times studies
4
studies higher
4
higher uncertainty
4
uncertainty associated
4
associated fertility
4

Similar Publications

Variations and Opportunities in Postnatal Management of Hemolytic Disease of the Fetus and Newborn.

JAMA Netw Open

January 2025

Division of Neonatology, Department of Pediatrics, Willem-Alexander Children's Hospital, Leiden University Medical Center, Leiden, the Netherlands.

Importance: Preventive efforts in pregnancy-related alloimmunization have considerably decreased the prevalence of hemolytic disease of the fetus and newborn (HDFN). International studies are therefore essential to obtain a deeper understanding of the postnatal management and outcomes of HDFN. Taken together with numerous treatment options, large practice variations among centers may exist.

View Article and Find Full Text PDF

Infertility affects one-in-six couples, often necessitating in vitro fertilization treatment (IVF). IVF generates complex data, which can challenge the utilization of the full richness of data during decision-making, leading to reliance on simple 'rules-of-thumb'. Machine learning techniques are well-suited to analyzing complex data to provide data-driven recommendations to improve decision-making.

View Article and Find Full Text PDF

The perception of artificial intelligence and infertility care among patients undergoing fertility treatment.

J Assist Reprod Genet

January 2025

Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Northwestern University, 259 E Erie St Suite 2400, Chicago, IL, 60611, USA.

Purpose: To characterize the opinions of patients undergoing infertility treatment on the use of artificial intelligence (AI) in their care.

Methods: Patients planning or undergoing in vitro fertilization (IVF) or frozen embryo transfers were invited to complete an anonymous electronic survey from April to June 2024. The survey collected demographics, technological affinity, general perception of AI, and its applications to fertility care.

View Article and Find Full Text PDF

Two patients of early adolescence age presented with medically resistant primary dysmenorrhoea. Imaging (MRI scan) confirmed an asymmetric uterine septum with a unilaterally obstructed horn with haematometra. Laparotomy and Tompkins metroplasty was performed to unify the uterine cavity in each case, a technique not used for this condition before.

View Article and Find Full Text PDF

Multi-dimensional oscillatory activity of mouse GnRH neurons in vivo.

Elife

January 2025

Department of Physiology, Development and Neuroscience, Downing site, University of Cambridge, Cambridge, United Kingdom.

The gonadotropin-releasing hormone (GnRH) neurons represent the key output cells of the neural network controlling mammalian fertility. We used GCaMP fiber photometry to record the population activity of the GnRH neuron distal projections in the ventral arcuate nucleus where they merge before entering the median eminence to release GnRH into the portal vasculature. Recordings in freely behaving intact male and female mice revealed abrupt ~8 min duration increases in activity that correlated perfectly with the appearance of a subsequent pulse of luteinizing hormone (LH).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!