Health conditions in autism: Defining the trajectory from adolescence to early adulthood / Beth A. MALOW in Autism Research, 16-7 (July 2023)  

Public ISBD [article]  inAutism Research > 16-7 (July 2023) . - p.1437-1449 Titre : Health conditions in autism: Defining the trajectory from adolescence to early adulthood Type de document : texte imprimé Auteurs : Beth A. MALOW, Auteur ; Yinge QIAN, Auteur ; Jennifer L. AMES, Auteur ; Stacey E. ALEXEEFF, Auteur ; Lisa A. CROEN, Auteur Article en page(s) : p.1437-1449 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Autistic adults, as compared to non-autistic adults, have increased rates of nearly all medical and psychiatric conditions. Many of these conditions begin in childhood, although few longitudinal studies have been conducted to examine prevalence rates of these conditions from adolescence into early adulthood. In this study, we analyze the longitudinal trajectory of health conditions in autistic youth, compared to age and sex-matched non-autistic youth, transitioning from adolescence into early adulthood in a large integrated health care delivery system. The percent and modeled prevalence of common medical and psychiatric conditions increased from age 14 to 22 years, with autistic youth having a higher prevalence of most conditions than non-autistic youth. The most prevalent conditions in autistic youth at all ages were obesity, neurological disorders, anxiety, and ADHD. The prevalence of obesity and dyslipidemia rose at a faster rate in autistic youth compared to non-autistic youth. By age 22, autistic females showed a higher prevalence of all medical and psychiatric conditions compared to autistic males. Our findings emphasize the importance of screening for medical and psychiatric conditions in autistic youth, coupled with health education targeted at this population, to mitigate the development of adverse health outcomes in autistic adults. En ligne : https://doi.org/10.1002/aur.2960 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510 [article] Health conditions in autism: Defining the trajectory from adolescence to early adulthood [texte imprimé] / Beth A. MALOW, Auteur ; Yinge QIAN, Auteur ; Jennifer L. AMES, Auteur ; Stacey E. ALEXEEFF, Auteur ; Lisa A. CROEN, Auteur . - p.1437-1449. Langues : Anglais (eng) in Autism Research > 16-7 (July 2023) . - p.1437-1449 Index. décimale : PER Périodiques Résumé : Abstract Autistic adults, as compared to non-autistic adults, have increased rates of nearly all medical and psychiatric conditions. Many of these conditions begin in childhood, although few longitudinal studies have been conducted to examine prevalence rates of these conditions from adolescence into early adulthood. In this study, we analyze the longitudinal trajectory of health conditions in autistic youth, compared to age and sex-matched non-autistic youth, transitioning from adolescence into early adulthood in a large integrated health care delivery system. The percent and modeled prevalence of common medical and psychiatric conditions increased from age 14 to 22 years, with autistic youth having a higher prevalence of most conditions than non-autistic youth. The most prevalent conditions in autistic youth at all ages were obesity, neurological disorders, anxiety, and ADHD. The prevalence of obesity and dyslipidemia rose at a faster rate in autistic youth compared to non-autistic youth. By age 22, autistic females showed a higher prevalence of all medical and psychiatric conditions compared to autistic males. Our findings emphasize the importance of screening for medical and psychiatric conditions in autistic youth, coupled with health education targeted at this population, to mitigate the development of adverse health outcomes in autistic adults. En ligne : https://doi.org/10.1002/aur.2960 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510

Maternal immune response and air pollution exposure during pregnancy: insights from the Early Markers for Autism (EMA) study / Heather E. VOLK in Journal of Neurodevelopmental Disorders, 12 (2020)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 12 (2020) Titre : Maternal immune response and air pollution exposure during pregnancy: insights from the Early Markers for Autism (EMA) study Type de document : texte imprimé Auteurs : Heather E. VOLK, Auteur ; Bo PARK, Auteur ; Calliope HOLLINGUE, Auteur ; Karen L. JONES, Auteur ; Paul ASHWOOD, Auteur ; Gayle C. WINDHAM, Auteur ; Fred LURMAN, Auteur ; Stacey E. ALEXEEFF, Auteur ; Martin KHARRAZI, Auteur ; Michelle PEARL, Auteur ; Judy VAN DE WATER, Auteur ; Lisa A. CROEN, Auteur Langues : Anglais (eng) Mots-clés : Air Pollution/adverse effects  Autistic Disorder  Biomarkers  Case-Control Studies  Child  Female  Humans  Immunity  Male  Pregnancy/immunology  Prenatal Exposure Delayed Effects  United States  Air pollution  Autism spectrum disorder  Immune response  Intellectual disability  Prenatal exposure  declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Perinatal exposure to air pollution and immune system dysregulation are two factors consistently associated with autism spectrum disorders (ASD) and other neurodevelopmental outcomes. However, little is known about how air pollution may influence maternal immune function during pregnancy. OBJECTIVES: To assess the relationship between mid-gestational circulating levels of maternal cytokines/chemokines and previous month air pollution exposure across neurodevelopmental groups, and to assess whether cytokines/chemokines mediate the relationship between air pollution exposures and risk of ASD and/or intellectual disability (ID) in the Early Markers for Autism (EMA) study. METHODS: EMA is a population-based, nested case-control study which linked archived maternal serum samples collected during weeks 15-19 of gestation for routine prenatal screening, birth records, and Department of Developmental Services (DDS) records. Children receiving DDS services for ASD without intellectual disability (ASD without ID; n = 199), ASD with ID (ASD with ID; n = 180), ID without ASD (ID; n = 164), and children from the general population (GP; n = 414) with no DDS services were included in this analysis. Serum samples were quantified for 22 cytokines/chemokines using Luminex multiplex analysis technology. Air pollution exposure for the month prior to maternal serum collection was assigned based on the Environmental Protection Agency's Air Quality System data using the maternal residential address reported during the prenatal screening visit. RESULTS: Previous month air pollution exposure and mid-gestational maternal cytokine and chemokine levels were significantly correlated, though weak in magnitude (ranging from - 0.16 to 0.13). Ten pairs of mid-pregnancy immune markers and previous month air pollutants were significantly associated within one of the child neurodevelopmental groups, adjusted for covariates (p < 0.001). Mid-pregnancy air pollution was not associated with any neurodevelopmental outcome. IL-6 remained associated with ASD with ID even after adjusting for air pollution exposure. CONCLUSION: This study suggests that maternal immune activation is associated with risk for neurodevelopmental disorders. Furthermore, that prenatal air pollution exposure is associated with small, but perhaps biologically relevant, effects on maternal immune system function during pregnancy. Additional studies are needed to better evaluate how prenatal exposure to air pollution affects the trajectory of maternal immune activation during pregnancy, if windows of heightened susceptibility can be identified, and how these factors influence neurodevelopment of the offspring. En ligne : https://dx.doi.org/10.1186/s11689-020-09343-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=573 [article] Maternal immune response and air pollution exposure during pregnancy: insights from the Early Markers for Autism (EMA) study [texte imprimé] / Heather E. VOLK, Auteur ; Bo PARK, Auteur ; Calliope HOLLINGUE, Auteur ; Karen L. JONES, Auteur ; Paul ASHWOOD, Auteur ; Gayle C. WINDHAM, Auteur ; Fred LURMAN, Auteur ; Stacey E. ALEXEEFF, Auteur ; Martin KHARRAZI, Auteur ; Michelle PEARL, Auteur ; Judy VAN DE WATER, Auteur ; Lisa A. CROEN, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 12 (2020) Mots-clés : Air Pollution/adverse effects  Autistic Disorder  Biomarkers  Case-Control Studies  Child  Female  Humans  Immunity  Male  Pregnancy/immunology  Prenatal Exposure Delayed Effects  United States  Air pollution  Autism spectrum disorder  Immune response  Intellectual disability  Prenatal exposure  declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Perinatal exposure to air pollution and immune system dysregulation are two factors consistently associated with autism spectrum disorders (ASD) and other neurodevelopmental outcomes. However, little is known about how air pollution may influence maternal immune function during pregnancy. OBJECTIVES: To assess the relationship between mid-gestational circulating levels of maternal cytokines/chemokines and previous month air pollution exposure across neurodevelopmental groups, and to assess whether cytokines/chemokines mediate the relationship between air pollution exposures and risk of ASD and/or intellectual disability (ID) in the Early Markers for Autism (EMA) study. METHODS: EMA is a population-based, nested case-control study which linked archived maternal serum samples collected during weeks 15-19 of gestation for routine prenatal screening, birth records, and Department of Developmental Services (DDS) records. Children receiving DDS services for ASD without intellectual disability (ASD without ID; n = 199), ASD with ID (ASD with ID; n = 180), ID without ASD (ID; n = 164), and children from the general population (GP; n = 414) with no DDS services were included in this analysis. Serum samples were quantified for 22 cytokines/chemokines using Luminex multiplex analysis technology. Air pollution exposure for the month prior to maternal serum collection was assigned based on the Environmental Protection Agency's Air Quality System data using the maternal residential address reported during the prenatal screening visit. RESULTS: Previous month air pollution exposure and mid-gestational maternal cytokine and chemokine levels were significantly correlated, though weak in magnitude (ranging from - 0.16 to 0.13). Ten pairs of mid-pregnancy immune markers and previous month air pollutants were significantly associated within one of the child neurodevelopmental groups, adjusted for covariates (p < 0.001). Mid-pregnancy air pollution was not associated with any neurodevelopmental outcome. IL-6 remained associated with ASD with ID even after adjusting for air pollution exposure. CONCLUSION: This study suggests that maternal immune activation is associated with risk for neurodevelopmental disorders. Furthermore, that prenatal air pollution exposure is associated with small, but perhaps biologically relevant, effects on maternal immune system function during pregnancy. Additional studies are needed to better evaluate how prenatal exposure to air pollution affects the trajectory of maternal immune activation during pregnancy, if windows of heightened susceptibility can be identified, and how these factors influence neurodevelopment of the offspring. En ligne : https://dx.doi.org/10.1186/s11689-020-09343-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=573

Medical Conditions in the First Years of Life Associated with Future Diagnosis of ASD in Children / Stacey E. ALEXEEFF in Journal of Autism and Developmental Disorders, 47-7 (July 2017)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 47-7 (July 2017) . - p.2067-2079 Titre : Medical Conditions in the First Years of Life Associated with Future Diagnosis of ASD in Children Type de document : texte imprimé Auteurs : Stacey E. ALEXEEFF, Auteur ; Vincent YAU, Auteur ; Yinge QIAN, Auteur ; Meghan N. DAVIGNON, Auteur ; Frances L. LYNCH, Auteur ; Phillip M. CRAWFORD, Auteur ; Robert DAVIS, Auteur ; Lisa A. CROEN, Auteur Article en page(s) : p.2067-2079 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Comorbidity  Medical conditions Index. décimale : PER Périodiques Résumé : This study examines medical conditions diagnosed prior to the diagnosis of autism spectrum disorder (ASD). Using a matched case control design with 3911 ASD cases and 38,609 controls, we found that 38 out of 79 medical conditions were associated with increased ASD risk. Developmental delay, mental health, and neurology conditions had the strongest associations (ORs 2.0–23.3). Moderately strong associations were observed for nutrition, genetic, ear nose and throat, and sleep conditions (ORs 2.1–3.2). Using machine learning methods, we clustered children based on their medical conditions prior to ASD diagnosis and demonstrated ASD risk stratification. Our findings provide new evidence indicating that children with ASD have a disproportionate burden of certain medical conditions preceding ASD diagnosis. En ligne : https://doi.org/10.1007/s10803-017-3130-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=313 [article] Medical Conditions in the First Years of Life Associated with Future Diagnosis of ASD in Children [texte imprimé] / Stacey E. ALEXEEFF, Auteur ; Vincent YAU, Auteur ; Yinge QIAN, Auteur ; Meghan N. DAVIGNON, Auteur ; Frances L. LYNCH, Auteur ; Phillip M. CRAWFORD, Auteur ; Robert DAVIS, Auteur ; Lisa A. CROEN, Auteur . - p.2067-2079. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 47-7 (July 2017) . - p.2067-2079 Mots-clés : Autism spectrum disorder  Comorbidity  Medical conditions Index. décimale : PER Périodiques Résumé : This study examines medical conditions diagnosed prior to the diagnosis of autism spectrum disorder (ASD). Using a matched case control design with 3911 ASD cases and 38,609 controls, we found that 38 out of 79 medical conditions were associated with increased ASD risk. Developmental delay, mental health, and neurology conditions had the strongest associations (ORs 2.0–23.3). Moderately strong associations were observed for nutrition, genetic, ear nose and throat, and sleep conditions (ORs 2.1–3.2). Using machine learning methods, we clustered children based on their medical conditions prior to ASD diagnosis and demonstrated ASD risk stratification. Our findings provide new evidence indicating that children with ASD have a disproportionate burden of certain medical conditions preceding ASD diagnosis. En ligne : https://doi.org/10.1007/s10803-017-3130-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=313

---

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