Abstract
The association between family socioeconomic status (SES) and the suspected autism spectrum disorder (ASD) status of 18-month-old toddlers was investigated using a population-based sample in Japan, which has a universal healthcare system and a mandatory health checkup system for toddlers. Questionnaires including SES measurements and modified checklist for autism in toddlers were mailed to all families with 18-month-old toddlers in Chiba, a city near Tokyo (N = 6,061; response rate: 64 %). The results of logistic regression analysis (which were adjusted for potential confounders) indicated that low maternal education, but not paternal education or family income, were associated with having suspected ASD offspring. Lower maternal education was associated with an increased risk of autistic traits in Japan.
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Adams, J. B., Romdalvik, J., Ramanujam, V. M., & Legator, M. S. (2007). Mercury, lead, and zinc in baby teeth of children with autism versus controls. Journal of Toxicology and Environmental Health, Part A, 70, 1046–1051. doi:10.1080/15287390601172080.
Bhasin, T. K., & Schendel, D. (2007). Sociodemographic risk factors for autism in a US metropolitan area. Journal of Autism and Developmental Disorders, 37, 667–677. doi:10.1007/s10803-006-0194-y.
Burd, L., Severud, R., Kerbeshian, J., & Klug, M. G. (1999). Prenatal and perinatal risk factors for autism. Journal of Perinatal Medicine, 27, 441–450. doi:10.1515/JPM.1999.059.
Charman, T., & Baird, G. (2002). Practitioner review: Diagnosis of autism spectrum disorder in 2- and 3-year-old children. Journal of Child Psychology and Psychiatry, 43, 289–305.
Croen, L. A., Grether, J. K., & Selvin, S. (2002). Descriptive epidemiology of autism in a California population: Who is at risk? Journal of Autism and Developmental Disorders, 32, 217–224.
Curtis, L. T., & Patel, K. (2008). Nutritional and environmental approaches to preventing and treating autism and attention deficit hyperactivity disorder (ADHD): A review. Journal of Alternative and Complementary Medicine, 14, 79–85. doi:10.1089/acm2007.0610.
Dawson, G., et al. (2010). Randomized, controlled trial of an intervention for toddlers with autism: The Early Start Denver Model. Pediatrics, 125, e17–e23. doi:10.1542/peds.2009-0958.
Dodds, L., Fell, D. B., Shea, S., Armson, B. A., Allen, A. C., & Bryson, S. (2011). The role of prenatal, obstetric and neonatal factors in the development of autism. Journal of Autism and Developmental Disorders, 41, 891–902. doi:10.1007/s10803-010-1114-8.
Durkin, M. S., et al. (2010). Socioeconomic inequality in the prevalence of autism spectrum disorder: Evidence from a U.S. cross-sectional study. PLoS ONE, 5, e11551. doi:10.1371/journal.pone.0011551.
Emerson, E. (2012). Deprivation, ethnicity and the prevalence of intellectual and developmental disabilities. Journal of Epidemiology and Community Health, 66, 218–224. doi:10.1136/jech.2010.111773.
Eskenazi, B., et al. (2007). Organophosphate pesticide exposure and neurodevelopment in young Mexican-American children. Environmental Health Perspectives, 115, 792–798.
Filipek, P. A., Juranek, J., Nguyen, M. T., Cummings, C., & Gargus, J. J. (2004). Relative carnitine deficiency in autism. Journal of Autism and Developmental Disorders, 34, 615–623.
Fountain, C., King, M. D., & Bearman, P. S. (2011). Age of diagnosis for autism: Individual and community factors across 10 birth cohorts. Journal of Epidemiology and Community Health, 65, 503–510. doi:10.1136/jech.2009.104588.
Gillberg, C., & Schaumann, H. (1982). Social class and infantile autism. Journal of Autism and Developmental Disorders, 12, 223–228.
Hoshino, Y., Kumashiro, H., Yashima, Y., Tachibana, R., & Watanabe, M. (1982). The epidemiological study of autism in Fukushima-ken. Folia Psychiatrica et Neurologica Japonica, 36, 115–124.
Hultman, C. M., Sparen, P., & Cnattingius, S. (2002). Perinatal risk factors for infantile autism. Epidemiology, 13, 417–423.
Inada, N., Koyama, T., Inokuchi, E., Kuroda, M., & Kamio, Y. (2011). Reliability and validity of the Japanese version of the modified checklist for autism in toddlers (M-CHAT). Research in Autism Spectrum Disorders, 5, 330–336.
Iwasaki, M., et al. (2002). Social networks and mortality based on the Komo-Ise cohort study in Japan. International Journal of Epidemiology, 31, 1208–1218.
Jwa, S. C., Fujiwara, T., Hata, A., Arata, N., Sago, H., & Ohya, Y. (2013). BMI mediates the association between low educational level and higher blood pressure during pregnancy in Japan. BMC Public Health, 13, 389. doi:10.1186/1471-2458-13-389.
Kinney, D. K., Munir, K. M., Crowley, D. J., & Miller, A. M. (2008). Prenatal stress and risk for autism. Neuroscience and Biobehavioral Reviews, 32, 1519–1532. doi:10.1016/j.neubiorev.2008.06.004.
Krakowiak, P., et al. (2012). Maternal metabolic conditions and risk for autism and other neurodevelopmental disorders. Pediatrics, 129, e1121–e1128. doi:10.1542/peds.2011-2583.
Lampi, K. M., et al. (2013). Parental age and risk of autism spectrum disorders in a Finnish national birth cohort. Journal of Autism and Developmental Disorders,. doi:10.1007/s10803-013-1801-3.
Larsson, H. J., et al. (2005). Risk factors for autism: perinatal factors, parental psychiatric history, and socioeconomic status. American Journal Of Epidemiology, 161, 916–925; discussion 926–928 doi:10.1093/aje/kwi123.
Lord, C., Rutter, M., & Le Couteur, A. (1994). Autism diagnostic interview-revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24, 659–685.
May, T., Rinehart, N., Wilding, J., & Cornish, K. (2013). the role of attention in the academic attainment of children with autism spectrum disorder. Journal of Autism and Developmental Disorders,. doi:10.1007/s10803-013-1766-2.
Meaney, M. J. (2001). Maternal care, gene expression, and the transmission of individual differences in stress reactivity across generations. Annual Review of Neuroscience, 24, 1161–1192.
Ministry of Health Labor and Welfare. (2011). Report on community health and health promotion activities in 2009. Tokyo: Ministry of Health, Labor and Welfare.
Ministry of Health Labor and Welfare. (2012). Income distribution. In: Ministry of Health labor and Welfare. http://www.mhlw.go.jp/toukei/saikin/hw/k-tyosa/k-tyosa08/2-2.html. Accessed September 3, 2012.
Moore, C. J., & Cunningham, S. A. (2012). Social position, psychological stress, and obesity: A systematic review. Journal of the Academy of Nutrition and Dietetics, 112, 518–526. doi:10.1016/j.jand.2011.12.001.
Murakami, K., Miyake, Y., Sasaki, S., Tanaka, K., Ohya, Y., & Hirota, Y. (2009). Education, but not occupation or household income, is positively related to favorable dietary intake patterns in pregnant Japanese women: The Osaka Maternal and Child Health Study. Nutrition Research, 29, 164–172. doi:10.1016/j.nutres.2009.02.002.
Palmer, R. F., Blanchard, S., Stein, Z., Mandell, D., & Miller, C. (2006). Environmental mercury release, special education rates, and autism disorder: an ecological study of Texas. Health Place, 12, 203–209. doi:10.1016/j.healthplace.2004.11.005.
Pinborough-Zimmerman, J., Bilder, D., Satterfield, R., Hossain, S., & McMahon, W. (2010). The impact of surveillance method and record source on autism prevalence: Collaboration with Utah Maternal and Child Health programs. Maternal and Child Health Journal, 14, 392–400. doi:10.1007/s10995-009-0472-3.
Pinborough-Zimmerman, J., et al. (2011). Sociodemographic risk factors associated with autism spectrum disorders and intellectual disability. Autism Research, 4, 438–448. doi:10.1002/aur.224.
Rai, D., et al. (2012). Parental socioeconomic status and risk of offspring autism spectrum disorders in a Swedish population-based study. Journal of the American Academy of Child and Adolescent Psychiatry, 51(467–476), e6. doi:10.1016/j.jaac.2012.02.012.
Rauh, V. A., et al. (2006). Impact of prenatal chlorpyrifos exposure on neurodevelopment in the first 3 years of life among inner-city children. Pediatrics, 118, e1845–e1859.
Roberts, E. M., English, P. B., Grether, J. K., Windham, G. C., Somberg, L., & Wolff, C. (2007). Maternal residence near agricultural pesticide applications and autism spectrum disorders among children in the California Central Valley. Environmental Health Perspectives, 115, 1482–1489.
Robins, D. L., Fein, D., Barton, M. L., & Green, J. A. (2001). The modified checklist for autism in toddlers: An initial study investigating the early detection of autism and pervasive developmental disorders. Journal of Autism and Developmental Disorders, 31, 131–144.
Sauer, C., Montag, C., Worner, C., Kirsch, P., & Reuter, M. (2012). Effects of a common variant in the CD38 gene on social processing in an oxytocin challenge study: Possible links to autism. Neuropsychopharmacology, 37, 1474–1482. doi:10.1038/npp.2011.333.
Scarpa, A., et al. (2013). The modified checklist for autism in toddlers: Reliability in a diverse rural American sample. Journal of Autism and Developmental Disorders,. doi:10.1007/s10803-013-1779-x.
Schopler, E., Andrews, C. E., & Strupp, K. (1979). Do autistic children come from upper-middle-class parents? Journal of Autism and Developmental Disorders, 9, 139–152.
Schultz, S. T., et al. (2006). Breastfeeding, infant formula supplementation, and Autistic Disorder: The results of a parent survey. International Breastfeeding Journal, 1, 16. doi:10.1186/1746-4358-1-16.
Strambi, M., et al. (2006). Magnesium profile in autism. Biological Trace Element Research, 109, 97–104. doi:10.1385/BTER:109:2:097.
Sullivan, A., Winograd, G., Verkuilen, J., & Fish, M. C. (2012). Children on the autism spectrum: Grandmother involvement and family functioning. Journal of Applied Research in Intellectual Disabilities, 25, 484–494. doi:10.1111/j.1468-3148.2012.00695.x.
Sutera, S., et al. (2007). Predictors of optimal outcome in toddlers diagnosed with autism spectrum disorders. Journal of Autism and Developmental Disorders, 37, 98–107. doi:10.1007/s10803-006-0340-6.
Tsai, L., Stewart, M. A., Faust, M., & Shook, S. (1982). Social class distribution of fathers of children enrolled in the Iowa Autism Program. Journal of Autism and Developmental Disorders, 12, 211–221.
Van Meter, K. C., Christiansen, L. E., Delwiche, L. D., Azari, R., Carpenter, T. E., & Hertz-Picciotto, I. (2010). Geographic distribution of autism in California: A retrospective birth cohort analysis. Autism Res, 3, 19–29. doi:10.1002/aur.110.
Windham, G. C., Anderson, M. C., Croen, L. A., Smith, K. S., Collins, J., & Grether, J. K. (2011). Birth prevalence of autism spectrum disorders in the San Francisco Bay area by demographic and ascertainment source characteristics. Journal of Autism and Developmental Disorders, 41, 1362–1372. doi:10.1007/s10803-010-1160-2.
Wing, L. (1980). Childhood autism and social class: A question of selection? British Journal of Psychiatry, 137, 410–417.
Acknowledgments
This study was supported by grants from a Grant-in-aid for Scientific Research on Innovative Areas, Ministry of Education, Culture, Sports, Science and Technology KAKENHI (21119003). I also thank Ms Akiko Okada at Chiba City Health Center for her arrangements of this study.
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Fujiwara, T. Socioeconomic Status and the Risk of Suspected Autism Spectrum Disorders Among 18-Month-Old Toddlers in Japan: A Population-Based Study. J Autism Dev Disord 44, 1323–1331 (2014). https://doi.org/10.1007/s10803-013-1988-3
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DOI: https://doi.org/10.1007/s10803-013-1988-3