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. Author manuscript; available in PMC: 2016 Mar 2.
Published in final edited form as: Autism. 2013 Jun 20;18(5):583–597. doi: 10.1177/1362361313480277

Table 2.

Characteristics associated with age at autism spectrum disorder diagnosis.a

Characteristic Earlier diagnosis Later diagnosis No relationship
Clinical characteristics
 Symptoms More symptoms/greater level of impairment [15, 27, and 29] Higher communication skills [36] Repetitive and unacceptable social behavior [36]
Developmental regression [28 and 39] and higher social function [36]
Toe walking [13 and 42] Oversensitivity to pain [13] Not responding to name when called, self-injury, aggressive to others, insistence on sameness, echolalia, and spins self [13]
Language deficits, sustained odd play, and hand flapping [13] Language regression [42]
 Cognition IQ ≤ 70 versus >70 [28] IQ ≥ 85 versus 50–84 [34] Comorbid intellectual disability [36]
Comorbid intellectual disability [39] Intellectual disability [13, 15, and 37]
 Comorbid conditions Major congenital anomaly [37] Previous classification of ASD and co-occurring psychiatric or neurologic disorders or symptoms [32] Epilepsy and cerebral palsy [37]
Hearing impairment [13]
Attention-deficit/hyperactivity disorder [37]
Sociodemographic characteristics
 Sex Female [15] Female [8, 14, and 28] 6, 9, 13, 19, 22, 26, 29, 33, 34, 36, 37, 39, and 41
 Race/ethnicity White versus all other racial groups [6] Non-White or Hispanic versus White [36] Race [14, 13, 15, 27, and 30]
Visible minority [41] White versus all other racial/ethnic groups [33] Ethnicity [13, 30, and 39]
Other race and Hispanic ethnicity versus White [28]
Black race [39]
Hispanic and African-American versus White [42]
 Socioeconomic status Higher parental [14 and 36] or maternal [39] education Living close to versus above poverty level [13] Maternal education [22, 27, and 42]
Higher family income [14] Maternal education less than college versus college graduate [28] Parent education or employment [29]
Social status [34]
Annual household income, parental education [30]
 Other factors Firstborn [12] Being adopted [13] Maternal age [28, 36, and 42]
Older maternal age [37] Medicaid eligibility due to disability versus other categories [33] Birth order [29 and 42]
Insurance type, parent age, and other children with ASD [29]
Marital status, maternal mental illness, gestational age, and birth weight [37]
Older siblings/family members with ASD [30, 41, and 42] Born outside Canada [41] Having health insurance [30]
Mother born outside the United States and children whose deliveries were paid for by Medicaid [36] Being adopted [41]
Firstborn [36, 37, and 39] Medicaid participation, bilingual household, and mother US-born [42]
Parental concern Concern about social skills development and atypical behavior [29] Attribution of symptoms to behavioral problems [27]
Worry about initial symptoms [27] Recognizing medical problem as first concern versus other behaviors [9]
First concern about nonautism specific behavioral problems [30]
Systems interactions
 Health care Physician referral to a specialist [13] Visiting a greater number of clinicians/professionals prior to diagnosis [9, 13, and 14] Physician-conducted developmental testing in response to concern [13]
Screening in response to concern [30] Switching pediatricians in the first 5 years of life [30]
Using health versus health and education records to assign a diagnosis [28]
 Education Diagnosis in a nonschool setting [15] Placement in a nonautistic unit of school for learning difficulty versus mainstream school [10] Use of standardized instrument to assign diagnosis [15]
Referral from early intervention program versus physician office, school, or parent [29] Using education records versus health and education records [28]
Referral to early intervention [30]
Geographic region and associated characteristicsb
 Region Living outside northeastern United States [39]
Living in the Midwest [30]
 Urban/rural Urban vs. suburban and rural [20] Larger urban or rural county [33] City versus rural versus suburban [29]
Living in nonmetropolitan area [39] Urban versus rural [41]
Rural [13]
 Community factors Higher median property value [36] Higher educated population [36] Neighborhood median household income [41]
Greater proportion of residents living in poverty [33 and 36] Child psychiatrists nearby [36]
Higher ASD prevalence [36] Median income in second lowest versus lowest quartile, greater proportion of White residents second highest versus lowest quartile [39] Per capita pediatricians or pediatric specialists, median income, percent residents on Medicaid, teacher student ratio, expenditures per student, percent non-English speaking students, and percent White residents [33]
Greater number of neurologists of psychiatrists nearby, close proximity to a medical school [38] Close proximity to a Treatment and Education of Autistic and Communication–related handicapped children program [38] Greater number of primary care physicians nearby, close proximity to early intervention services, and living in a Health Professional Shortage Area [38]
 State factors Low state Child Health Insurance eligibility [33] Median income in second lowest versus lowest quartile, greater proportion of White residents second highest versus lowest quartile [39] Proportion of children 0–5 years in early intervention [33]
Cohort and period effects
 Birth cohort Older versus more recent [1, 2, 10, 11, 13, 14, 21, 24, 25, 30, 36, and 39] Older versus more recent [5]
 Period Prior to versus after 2000 [39] Earlier versus later [7, 18, 26, 33, and 35] Earlier versus later [34]
2005–2006 versus 1997–1999 [41]

ADDM: Automatic Database Diagnostic Monitor.

a

Numbers in parentheses reference included studies described in Table 1.

b

Not included here are specific differences across geographic region identified in the following studies: ADDM Network 2002 Principal Investigators, 2007; ADDM Network 2006 Principal Investigators, 2009; and ADDM Network 2008 Principal Investigators, 2012; Frenette et al. (2011); Howlin and Moore (1997); Ouellette-Kuntz et al. (2009); and Shattuck et al. (2009).