Development and validation of a machine learning-based tool to predict autism among children / Kim S. BETTS in Autism Research, 16-5 (May 2023)  

Public ISBD [article]  inAutism Research > 16-5 (May 2023) . - p.941-952 Titre : Development and validation of a machine learning-based tool to predict autism among children Type de document : texte imprimé Auteurs : Kim S. BETTS, Auteur ; Kevin CHAI, Auteur ; Steve KISELY, Auteur ; Rosa ALATI, Auteur Article en page(s) : p.941-952 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Autism is a lifelong condition for which intervention must occur as early as possible to improve social functioning. Thus, there is great interest in improving our ability to diagnose autism as early as possible. We take a novel approach to this challenge by combining machine learning with maternal and infant health administrative data to construct a prediction model capable of predicting autism disorder (defined as ICD10 84.0) in the general population. The sample included all mother-offspring pairs from the Australian state of New South Wales (NSW) between January 2003 and December 2005 (n = 262,650 offspring), linked across three health administrative data sets including the NSW perinatal data collection (PDC); the NSW admitted patient data collection (APDC) and the NSW mental health ambulatory data collection (MHADC). Our most successful model was able to predict autism disorder with an area under the receiver operating curve of 0.73, with the strongest risk factors for diagnoses found to include offspring gender, maternal age at birth, delivery analgesia, maternal prenatal tobacco disorders, and low 5-min APGAR score. Our findings indicate that the combination of machine learning and routinely collected admin data, with further refinement and increased accuracy than achieved by us, may play a role in the early detection of autism disorders. En ligne : http://dx.doi.org/https://doi.org/10.1002/aur.2912 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=503 [article] Development and validation of a machine learning-based tool to predict autism among children [texte imprimé] / Kim S. BETTS, Auteur ; Kevin CHAI, Auteur ; Steve KISELY, Auteur ; Rosa ALATI, Auteur . - p.941-952. Langues : Anglais (eng) in Autism Research > 16-5 (May 2023) . - p.941-952 Index. décimale : PER Périodiques Résumé : Abstract Autism is a lifelong condition for which intervention must occur as early as possible to improve social functioning. Thus, there is great interest in improving our ability to diagnose autism as early as possible. We take a novel approach to this challenge by combining machine learning with maternal and infant health administrative data to construct a prediction model capable of predicting autism disorder (defined as ICD10 84.0) in the general population. The sample included all mother-offspring pairs from the Australian state of New South Wales (NSW) between January 2003 and December 2005 (n = 262,650 offspring), linked across three health administrative data sets including the NSW perinatal data collection (PDC); the NSW admitted patient data collection (APDC) and the NSW mental health ambulatory data collection (MHADC). Our most successful model was able to predict autism disorder with an area under the receiver operating curve of 0.73, with the strongest risk factors for diagnoses found to include offspring gender, maternal age at birth, delivery analgesia, maternal prenatal tobacco disorders, and low 5-min APGAR score. Our findings indicate that the combination of machine learning and routinely collected admin data, with further refinement and increased accuracy than achieved by us, may play a role in the early detection of autism disorders. En ligne : http://dx.doi.org/https://doi.org/10.1002/aur.2912 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=503

Hypertensive disorders of pregnancy and the risk of offspring depression in childhood: Findings from the Avon Longitudinal Study of Parents and Children / Berihun Assefa DACHEW in Development and Psychopathology, 32-3 (August 2020)  

Public ISBD [article]  inDevelopment and Psychopathology > 32-3 (August 2020) . - p.845-851 Titre : Hypertensive disorders of pregnancy and the risk of offspring depression in childhood: Findings from the Avon Longitudinal Study of Parents and Children Type de document : texte imprimé Auteurs : Berihun Assefa DACHEW, Auteur ; James G. SCOTT, Auteur ; Kim S. BETTS, Auteur ; Abdullah MAMUN, Auteur ; Rosa ALATI, Auteur Article en page(s) : p.845-851 Langues : Anglais (eng) Mots-clés : Alspac  childhood depression  hypertensive disorders of pregnancy  offspring Index. décimale : PER Périodiques Résumé : Hypertensive disorders of pregnancy (HDP) may increase the risk of offspring depression in childhood. Low birth weight is also associated with increased risk of mental health problems, including depression. This study sought to investigate (a) whether there is an association between HDP and the risk of depression in childhood and (b) whether low birth weight mediates this association. The current study is based on the Avon Longitudinal Study of Parents and Children (ALSPAC), a prospective, population-based study that has followed a cohort of offspring since their mothers were pregnant (n = 6,739). Depression at the age of 7 years was diagnosed using parent reports via the Development and Well-Being Assessment (DAWBA). Log-binomial regression and mediation analyses were used. Children exposed to HDP were 2.3 times more likely to have a depression diagnosis compared with nonexposed children, adjusted Risk Ratio [RR], 2.31; 95% CI, [1.20, 4.47]. Low birth weight was a weak mediator of this association. Results were adjusted for confounding variables including antenatal depression and anxiety during pregnancy.This study suggests that fetal exposure to maternal hypertensive disorders of pregnancy increased the risk of childhood depression. The study adds to the evidence suggesting that the uterine environment is a critical determinant of neurodevelopmental and psychiatric outcomes. En ligne : http://dx.doi.org/10.1017/s0954579419000944 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=429 [article] Hypertensive disorders of pregnancy and the risk of offspring depression in childhood: Findings from the Avon Longitudinal Study of Parents and Children [texte imprimé] / Berihun Assefa DACHEW, Auteur ; James G. SCOTT, Auteur ; Kim S. BETTS, Auteur ; Abdullah MAMUN, Auteur ; Rosa ALATI, Auteur . - p.845-851. Langues : Anglais (eng) in Development and Psychopathology > 32-3 (August 2020) . - p.845-851 Mots-clés : Alspac  childhood depression  hypertensive disorders of pregnancy  offspring Index. décimale : PER Périodiques Résumé : Hypertensive disorders of pregnancy (HDP) may increase the risk of offspring depression in childhood. Low birth weight is also associated with increased risk of mental health problems, including depression. This study sought to investigate (a) whether there is an association between HDP and the risk of depression in childhood and (b) whether low birth weight mediates this association. The current study is based on the Avon Longitudinal Study of Parents and Children (ALSPAC), a prospective, population-based study that has followed a cohort of offspring since their mothers were pregnant (n = 6,739). Depression at the age of 7 years was diagnosed using parent reports via the Development and Well-Being Assessment (DAWBA). Log-binomial regression and mediation analyses were used. Children exposed to HDP were 2.3 times more likely to have a depression diagnosis compared with nonexposed children, adjusted Risk Ratio [RR], 2.31; 95% CI, [1.20, 4.47]. Low birth weight was a weak mediator of this association. Results were adjusted for confounding variables including antenatal depression and anxiety during pregnancy.This study suggests that fetal exposure to maternal hypertensive disorders of pregnancy increased the risk of childhood depression. The study adds to the evidence suggesting that the uterine environment is a critical determinant of neurodevelopmental and psychiatric outcomes. En ligne : http://dx.doi.org/10.1017/s0954579419000944 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=429

The role of maternal prenatal thyroid function on offspring depression: Findings from the ALSPAC cohort / Dagnachew Muluye FETENE in Development and Psychopathology, 32-1 (February 2020)  

Public ISBD [article]  inDevelopment and Psychopathology > 32-1 (February 2020) . - p.189-196 Titre : The role of maternal prenatal thyroid function on offspring depression: Findings from the ALSPAC cohort Type de document : texte imprimé Auteurs : Dagnachew Muluye FETENE, Auteur ; Kim S. BETTS, Auteur ; Rosa ALATI, Auteur Article en page(s) : p.189-196 Langues : Anglais (eng) Mots-clés : Alspac  depression  offspring  pregnancy  thyroid function Index. décimale : PER Périodiques Résumé : Maternal thyroid dysfunction during pregnancy may contribute to offspring neurobehavioral disorders. In this paper, we investigate the relationship between maternal thyroid function during pregnancy and offspring depression and anxiety. Data were taken from the Avon Longitudinal Study of Parents and Children. A total of 2,920 mother-child pairs were included. Thyroid-stimulating hormone levels, free thyroxine (FT4), and thyroid peroxidase antibodies were assessed during the first trimester of pregnancy because maternal supply is the only source of thyroid hormone for the fetus during the first 12 weeks of gestation. Child symptoms of depression and anxiety were assessed using the Development and Well-Being Assessment at ages 7.5 and 15 years. The odds of presenting with depression and anxiety were estimated using the generalized estimating equation. The level of FT4 during the first trimester of pregnancy was associated with child depression combined at ages 7.5 and 15 (odds ratio = 1.21, 95% confidence interval [1.00, 1.14]. An increase of 1 standard deviation of FT4 during pregnancy increased the odds of child depression by 28% after adjustment made for potential confounders. No association was found among maternal levels of thyroid-stimulating hormone, FT4, and thyroid peroxidase antibodies and childhood anxiety. In conclusion, increased levels of FT4 during the first trimester of pregnancy appear be linked to greater risk of offspring depression. En ligne : http://dx.doi.org/10.1017/s0954579418001657 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=416 [article] The role of maternal prenatal thyroid function on offspring depression: Findings from the ALSPAC cohort [texte imprimé] / Dagnachew Muluye FETENE, Auteur ; Kim S. BETTS, Auteur ; Rosa ALATI, Auteur . - p.189-196. Langues : Anglais (eng) in Development and Psychopathology > 32-1 (February 2020) . - p.189-196 Mots-clés : Alspac  depression  offspring  pregnancy  thyroid function Index. décimale : PER Périodiques Résumé : Maternal thyroid dysfunction during pregnancy may contribute to offspring neurobehavioral disorders. In this paper, we investigate the relationship between maternal thyroid function during pregnancy and offspring depression and anxiety. Data were taken from the Avon Longitudinal Study of Parents and Children. A total of 2,920 mother-child pairs were included. Thyroid-stimulating hormone levels, free thyroxine (FT4), and thyroid peroxidase antibodies were assessed during the first trimester of pregnancy because maternal supply is the only source of thyroid hormone for the fetus during the first 12 weeks of gestation. Child symptoms of depression and anxiety were assessed using the Development and Well-Being Assessment at ages 7.5 and 15 years. The odds of presenting with depression and anxiety were estimated using the generalized estimating equation. The level of FT4 during the first trimester of pregnancy was associated with child depression combined at ages 7.5 and 15 (odds ratio = 1.21, 95% confidence interval [1.00, 1.14]. An increase of 1 standard deviation of FT4 during pregnancy increased the odds of child depression by 28% after adjustment made for potential confounders. No association was found among maternal levels of thyroid-stimulating hormone, FT4, and thyroid peroxidase antibodies and childhood anxiety. In conclusion, increased levels of FT4 during the first trimester of pregnancy appear be linked to greater risk of offspring depression. En ligne : http://dx.doi.org/10.1017/s0954579418001657 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=416

---

1 (1 - 3 / 3) Par page : 25 50 100 200