Smorti, Martina 
ORCID: 0000-0002-5867-9859, Christiansen, Paul, Barrett, Geraldine, Hall, Jennifer A, Ionio, Chiara ORCID: 0000-0002-0163-3841, Ciuffo, Giulia ORCID: 0000-0003-4031-0890, Landoni, Marta ORCID: 0000-0003-0082-1565, Della Vedova, Anna Maria ORCID: 0000-0002-3573-6451, Payne, Elana ORCID: 0009-0001-6214-6641, Richell, Mia et al (show 5 more authors)
(2025)
Psychometric Evaluation of the Validity and Reliability of the Italian Version of the London Measure of Unplanned Pregnancy Amongst Postnatal Women.
Healthcare (Basel, Switzerland), 13 (16).
2052-.
ISSN 2227-9032, 2227-9032
Abstract
<b>Background</b>: Unplanned pregnancy is a public health issue and understanding women's decision making aids practitioners in assessing fertility trends, contraception use, and family planning counselling. In Italy, Catholicism reinforces 'natural reproduction' and 'traditional' contraception, making it an 'Imperfect Contraceptive Society.' A valid and reliable measure of pregnancy intentionality is increasingly important, and the London Measure of Unplanned Pregnancy (LMUP) has proved effective. <b>Objectives and Methods</b>: This study comprised four stages: (1) English-Italian translation and back-translation to create the Italian version [LMUP-IT]; (2) online data collection from postnatal women; (3) evaluation of its psychometric properties (targeting, reliability, construct validity via CFA and measurement invariance with a UK sample, 'known groups' hypothesis testing); and (4) exploratory analysis of its associations with perinatal mental health. The sample comprised 450 postnatal women (M<sub>age</sub> = 33.6 ± 4.5). <b>Results</b>: The LMUP-IT was shown to be reliable (ωT = 0.81, α = 0.76), with acceptable targeting. Measurement invariance testing confirmed consistency with the UK sample in factor structure, loadings, intercepts, and errors. LMUP-IT scores significantly correlated with well-known indicators of perinatal mental health. <b>Conclusions</b>: Overall, the LMUP-IT is a reliable measure of pregnancy intention in Italian for postpartum women. Understanding pregnancy intention will help healthcare professionals tailor interventions to better support women's mental health during the transition to motherhood.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | London measure of unplanned pregnancy, invariance, measurement, perinatal mental health, pregnancy intention, psychometrics, unplanned pregnancy |
| Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Population Health |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 21 Aug 2025 10:46 |
| Last Modified: | 06 Sep 2025 01:50 |
| DOI: | 10.3390/healthcare13162052 |
| Open Access URL: | https://doi.org/10.3390/healthcare13162052 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3194121 |
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