A Bayesian approach for exploring person?*?environment interaction within the environmental sensitivity meta-framework / Francesca LIONETTI in Journal of Child Psychology and Psychiatry, 65-11 (November 2024)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 65-11 (November 2024) . - p.1486-1500 Titre : A Bayesian approach for exploring person?*?environment interaction within the environmental sensitivity meta-framework Type de document : texte imprimé Auteurs : Francesca LIONETTI, Auteur ; Antonio CALCAGNÃŒ, Auteur ; Giulio D'URSO, Auteur ; Maria SPINELLI, Auteur ; Mirco FASOLO, Auteur ; Michael PLUESS, Auteur ; Massimiliano PASTORE, Auteur Article en page(s) : p.1486-1500 Langues : Anglais (eng) Mots-clés : Differential susceptibility  diathesis-stress  vantage sensitivity  Bayesian approach  MCMC estimates Index. décimale : PER Périodiques Résumé : Background For investigating the individual?environment interplay and individual differences in response to environmental exposures as captured by models of environmental sensitivity including Diathesis-stress, Differential Susceptibility, and Vantage Sensitivity, over the last few years, a series of statistical guidelines have been proposed. However, available solutions suffer of computational problems especially relevant when sample size is not sufficiently large, a common condition in observational and clinical studies. Method In the current contribution, we propose a Bayesian solution for estimating interaction parameters via Monte Carlo Markov Chains (MCMC), adapting Widaman et al. (Psychological Methods, 17, 2012, 615) Nonlinear Least Squares (NLS) approach. Results Findings from an applied exemplification and a simulation study showed that with relatively big samples both MCMC and NLS estimates converged on the same results. Conversely, MCMC clearly outperformed NLS, resolving estimation problems and providing more accurate estimates, particularly with small samples and greater residual variance. Conclusions As the body of research exploring the interplay between individual and environmental variables grows, enabling predictions regarding the form of interaction and the extent of effects, the Bayesian approach could emerge as a feasible and readily applicable solution to numerous computational challenges inherent in existing frequentist methods. This approach holds promise for enhancing the trustworthiness of research outcomes, thereby impacting clinical and applied understanding. En ligne : https://doi.org/10.1111/jcpp.14000 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537 [article] A Bayesian approach for exploring person?*?environment interaction within the environmental sensitivity meta-framework [texte imprimé] / Francesca LIONETTI, Auteur ; Antonio CALCAGNÃŒ, Auteur ; Giulio D'URSO, Auteur ; Maria SPINELLI, Auteur ; Mirco FASOLO, Auteur ; Michael PLUESS, Auteur ; Massimiliano PASTORE, Auteur . - p.1486-1500. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 65-11 (November 2024) . - p.1486-1500 Mots-clés : Differential susceptibility  diathesis-stress  vantage sensitivity  Bayesian approach  MCMC estimates Index. décimale : PER Périodiques Résumé : Background For investigating the individual?environment interplay and individual differences in response to environmental exposures as captured by models of environmental sensitivity including Diathesis-stress, Differential Susceptibility, and Vantage Sensitivity, over the last few years, a series of statistical guidelines have been proposed. However, available solutions suffer of computational problems especially relevant when sample size is not sufficiently large, a common condition in observational and clinical studies. Method In the current contribution, we propose a Bayesian solution for estimating interaction parameters via Monte Carlo Markov Chains (MCMC), adapting Widaman et al. (Psychological Methods, 17, 2012, 615) Nonlinear Least Squares (NLS) approach. Results Findings from an applied exemplification and a simulation study showed that with relatively big samples both MCMC and NLS estimates converged on the same results. Conversely, MCMC clearly outperformed NLS, resolving estimation problems and providing more accurate estimates, particularly with small samples and greater residual variance. Conclusions As the body of research exploring the interplay between individual and environmental variables grows, enabling predictions regarding the form of interaction and the extent of effects, the Bayesian approach could emerge as a feasible and readily applicable solution to numerous computational challenges inherent in existing frequentist methods. This approach holds promise for enhancing the trustworthiness of research outcomes, thereby impacting clinical and applied understanding. En ligne : https://doi.org/10.1111/jcpp.14000 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537

Exclusive breastfeeding mitigates the association between prenatal maternal pandemic-related stress and children sleep problems at 24 months of age / Sarah NAZZARI ; Massimiliano PASTORE ; Serena GRUMI ; Livio PROVENZI in Development and Psychopathology, 37-4 (October 2025)  

Public ISBD [article]  inDevelopment and Psychopathology > 37-4 (October 2025) . - p.2076-2086 Titre : Exclusive breastfeeding mitigates the association between prenatal maternal pandemic-related stress and children sleep problems at 24 months of age Type de document : texte imprimé Auteurs : Sarah NAZZARI, Auteur ; Massimiliano PASTORE, Auteur ; Serena GRUMI, Auteur ; Livio PROVENZI, Auteur Article en page(s) : p.2076-2086 Langues : Anglais (eng) Mots-clés : anxiety  breastfeeding  child  pandemic  parent  sleep  stress Index. décimale : PER Périodiques Résumé : Infant sleep quality is increasingly regarded as an important factor for children long-term functioning and adaptation. The early roots of sleep disturbances are still poorly understood and likely involve a complex interplay between prenatal and postnatal factors. This study investigated whether exclusive breastfeeding during the first 6 months moderated the association between maternal prenatal pandemic-related stress (PRS) and sleep problems in 24-months children born during the COVID-19 pandemic. We also explored the potential contribution of maternal postnatal anxiety in these relations. Seventy-eight infants (50% males) and their mothers provided complete data from birth to 24 months. Between 12 and 48 h from birth, maternal PRS during pregnancy was retrospectively reported as well as maternal anxiety and exclusive breastfeeding. Maternal anxiety and exclusive breastfeeding were also reported at 3 and 6 months after childbirth. Children sleep disturbances were reported at 24 months. Bayesian analyses revealed that maternal PRS was positively associated with sleep problems in children who were not exclusively breastfed from birth to 6 months. Findings add to the growing literature on the lasting impact of early pre- and postnatal experiences on child well-being and development. En ligne : https://dx.doi.org/10.1017/S0954579424001627 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=567 [article] Exclusive breastfeeding mitigates the association between prenatal maternal pandemic-related stress and children sleep problems at 24 months of age [texte imprimé] / Sarah NAZZARI, Auteur ; Massimiliano PASTORE, Auteur ; Serena GRUMI, Auteur ; Livio PROVENZI, Auteur . - p.2076-2086. Langues : Anglais (eng) in Development and Psychopathology > 37-4 (October 2025) . - p.2076-2086 Mots-clés : anxiety  breastfeeding  child  pandemic  parent  sleep  stress Index. décimale : PER Périodiques Résumé : Infant sleep quality is increasingly regarded as an important factor for children long-term functioning and adaptation. The early roots of sleep disturbances are still poorly understood and likely involve a complex interplay between prenatal and postnatal factors. This study investigated whether exclusive breastfeeding during the first 6 months moderated the association between maternal prenatal pandemic-related stress (PRS) and sleep problems in 24-months children born during the COVID-19 pandemic. We also explored the potential contribution of maternal postnatal anxiety in these relations. Seventy-eight infants (50% males) and their mothers provided complete data from birth to 24 months. Between 12 and 48 h from birth, maternal PRS during pregnancy was retrospectively reported as well as maternal anxiety and exclusive breastfeeding. Maternal anxiety and exclusive breastfeeding were also reported at 3 and 6 months after childbirth. Children sleep disturbances were reported at 24 months. Bayesian analyses revealed that maternal PRS was positively associated with sleep problems in children who were not exclusively breastfed from birth to 6 months. Findings add to the growing literature on the lasting impact of early pre- and postnatal experiences on child well-being and development. En ligne : https://dx.doi.org/10.1017/S0954579424001627 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=567

Investigating sensitivity through the lens of parents: validation of the parent-report version of the Highly Sensitive Child scale / Alessandra SPERATI in Development and Psychopathology, 36-1 (February 2024)  

Public ISBD [article]  inDevelopment and Psychopathology > 36-1 (February 2024) . - p.415-428 Titre : Investigating sensitivity through the lens of parents: validation of the parent-report version of the Highly Sensitive Child scale Type de document : texte imprimé Auteurs : Alessandra SPERATI, Auteur ; Maria SPINELLI, Auteur ; Mirco FASOLO, Auteur ; Massimiliano PASTORE, Auteur ; Michael PLUESS, Auteur ; Francesca LIONETTI, Auteur Article en page(s) : p.415-428 Langues : Anglais (eng) Mots-clés : Highly Sensitive Child scale  children  differential susceptibility  environmental sensitivity  parent report Index. décimale : PER Périodiques Résumé : Children differ in their environmental sensitivity (ES), which can be measured observationally or by self-report questionnaire. A parent-report scale represents an important tool for investigating ES in younger children but has to be psychometrically robust and valid. In the current multistudy, we validated the parent-report version of the Highly Sensitive Child (HSC-PR) scale in Italian children, evaluating its factorial structure (Study 1, N = 1,857, 6.2 years, age range: 2.6-14 years) through a multigroup Confirmatory Factory Analysis in preschoolers (n = 1,066, 4.2 years) and school-age children (n = 791, 8.8 years). We then investigated the HSC-PR relationship with established temperament traits (Study 2, N = 327, 4.3 years), before exploring whether the scale moderates the effects of parenting stress on children s emotion regulation (Study 3, N = 112, 6.5 years). We found support for a bi-factor structure in both groups, though in preschoolers minor adaptations were suggested for one item. Importantly, the HSC-PR did not fully overlap with common temperament traits and moderated the effects of parenting stress on children emotion regulation. To conclude, the HSC-PR performs well and appears to capture ES in children. En ligne : https://dx.doi.org/10.1017/S0954579422001298 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=523 [article] Investigating sensitivity through the lens of parents: validation of the parent-report version of the Highly Sensitive Child scale [texte imprimé] / Alessandra SPERATI, Auteur ; Maria SPINELLI, Auteur ; Mirco FASOLO, Auteur ; Massimiliano PASTORE, Auteur ; Michael PLUESS, Auteur ; Francesca LIONETTI, Auteur . - p.415-428. Langues : Anglais (eng) in Development and Psychopathology > 36-1 (February 2024) . - p.415-428 Mots-clés : Highly Sensitive Child scale  children  differential susceptibility  environmental sensitivity  parent report Index. décimale : PER Périodiques Résumé : Children differ in their environmental sensitivity (ES), which can be measured observationally or by self-report questionnaire. A parent-report scale represents an important tool for investigating ES in younger children but has to be psychometrically robust and valid. In the current multistudy, we validated the parent-report version of the Highly Sensitive Child (HSC-PR) scale in Italian children, evaluating its factorial structure (Study 1, N = 1,857, 6.2 years, age range: 2.6-14 years) through a multigroup Confirmatory Factory Analysis in preschoolers (n = 1,066, 4.2 years) and school-age children (n = 791, 8.8 years). We then investigated the HSC-PR relationship with established temperament traits (Study 2, N = 327, 4.3 years), before exploring whether the scale moderates the effects of parenting stress on children s emotion regulation (Study 3, N = 112, 6.5 years). We found support for a bi-factor structure in both groups, though in preschoolers minor adaptations were suggested for one item. Importantly, the HSC-PR did not fully overlap with common temperament traits and moderated the effects of parenting stress on children emotion regulation. To conclude, the HSC-PR performs well and appears to capture ES in children. En ligne : https://dx.doi.org/10.1017/S0954579422001298 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=523

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