Prevalence and Premature Mortality Statistics of Autism Spectrum Disorder Among Children in Korea: A Nationwide Population-Based Birth Cohort Study

Seung-Mi Yoo; Kyoung-Nam Kim; Sungchan Kang; Hyun Joo Kim; Jieun Yun; Jin Yong Lee

doi:10.3346/jkms.2022.37.e1

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Yoo, Kim, Kang, Kim, Yun, and Lee: Prevalence and Premature Mortality Statistics of Autism Spectrum Disorder Among Children in Korea: A Nationwide Population-Based Birth Cohort Study

Original Article

Medicine General & Policy

Journal of Korean Medical Science 2021; 37(1): e1.

Published online: 26 November 2021

DOI: https://doi.org/10.3346/jkms.2022.37.e1

Prevalence and Premature Mortality Statistics of Autism Spectrum Disorder Among Children in Korea: A Nationwide Population-Based Birth Cohort Study

Seung-Mi Yoo^1,^*

, Kyoung-Nam Kim^2,^*

, Sungchan Kang³

, Hyun Joo Kim⁴

, Jieun Yun⁵

, Jin Yong Lee^6,^7,⁸

¹Graduate School of Public Health, Korea University, Seoul, Korea.

²Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea.

³Graduate School of Public Health, Seoul National University, Seoul, Korea.

⁴Department of Nursing Science, Shinsung University, Dangjin, Korea.

⁵Department of Pharmaceutical Engineering, Cheongju University, Cheongju, Korea.

⁶Public Healthcare Center, Seoul National University Hospital, Seoul, Korea.

⁷Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.

⁸HIRA Research Institute, Health Insurance Review and Assessment Service, Wonju, Korea.

Address for Correspondence: Jin Yong Lee, MD, PhD, MHA. Public Healthcare Center, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, Korea. jylee2000@gmail.com

Equal contributor:

^*Seung-Mi Yoo and Kyoung-Nam Kim contributed equally to this work.

Received 14 May 2021 Accepted 9 November 2021

The Korean Academy of Medical Sciences

https://creativecommons.org/licenses/by-nc/4.0/

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

The aim of this study was to estimate the 8-year prevalence and mortality statistics of autism spectrum disorder (ASD) according to birth year (2002–2012).

Methods

We used the National Health Insurance Service database with 4,989,351 children born from 2002 to 2012 including 35,529 children diagnosed with ASD until 8 years of age. The 8-year cumulative prevalence of ASD was calculated annually (2010–2020) with 8 years of follow-up. The 8-year mortality was estimated using Cox models adjusted for sex, household income, area of residence, and year of birth.

Results

Of the 473,494 children born in 2002, 2,467 (5.2 per 1,000 births) were diagnosed with ASD until 2010. The ASD prevalence was 2.6 times higher among boys (1,839; 7.4 per 1,000 boy births) than girls (628; 2.8 per 1,000 girl births). Of the 467,360 children born in 2012, 4,378 (9.4 per 1,000 births) were diagnosed with ASD until 2020. The ASD prevalence was 2.7 times higher among boys (3,246; 13.5 per 1,000 boy births) than girls (1,132; 5.0 per 1,000 girl births). The risk of all-cause mortality was higher among children with ASD than those without (hazard ratio [HR], 2.340; 95% confidence interval [CI], 2.063–2.654), which is substantially higher among girls (HR, 4.223; 95% CI, 3.472–5.135) than boys (HR, 1.774; 95% CI, 1.505–2.090).

Conclusion

The present study demonstrated that national-level prevalence and mortality statistics of ASD can be estimated effectively using claims data comprising newborns born each year and followed up for to the age of interest. Because this information is essential to establish evidence-based policies, health authorities need to consider producing epidemiological information of ASD continuously using the same methodology.

Graphical Abstract

Keywords: Autism Spectrum Disorder, Prevalence, Mortality, National Health Insurance

INTRODUCTION

The fundamental step in establishing and implementing national policies for individuals with autism spectrum disorder (ASD) is to identify the current prevalence and mortality of ASD.1 2 3 4 5 The information on the prevalence and mortality of ASD among children enables policymakers to estimate the socioeconomic burden of the disease. In addition, this information is also useful for international comparisons.

The prevalence rate of ASD has been consistently increasing around the world. For example, in the United States, 1 in 54 children aged 8 years had a diagnosis of ASD in 2016, a statistic which is 2.03 times (1 in 110 children) higher than the estimates in 2006.6 7 In Korea, previous studies reported that the prevalence of ASD was estimated to be 2.64% (1 in 38 children) among school-aged children, that being 7- to 12-year-olds, 18.53 cases per 100,000 persons when looking at all age groups.8 9 10 However, studies on the age-specific prevalence of ASD are limited in Korea; in particular, no study has investigated the time trends of ASD prevalence over the last 10 years.

Therefore, the aim of this study was to establish annual birth cohorts that include all infants born from 2002 to 2012 and calculate the prevalence and premature mortality statistics of ASD according to birth year using the National Health Insurance Service database.

METHODS

Data sources

We customized and used the National Health Insurance Database to test the study hypothesis. The National Health Insurance Database is managed by the National Health Insurance Service in Korea. Since universal health coverage was implemented in 1989, all citizens residing in the Republic of Korea, except for the vulnerable class, are obligated to subscribe to the national health insurance. As of April 2020, 97.2% of all citizens residing in the Republic of Korea are subscribed to the mandatory national health insurance; the remaining people are beneficiaries of the Medical Aid program funded by the government. Healthcare services provided through Medical Aid are also reimbursed by the National Health Insurance Service. Thus, theoretically, the National Health Insurance Service has the healthcare service data of all citizens of the Republic of Korea.11 We extracted information regarding sex, age, and subscription type (health insurance/Medical Aid) from the National Health Insurance Service qualification database and information regarding ASD from the detailed healthcare service database. Access to these databases was given through the Big Data Utilization Specialist Program of the National Health Insurance Service.

Study design and population

We conducted a population-based retrospective birth cohort study. ASD was defined as the inclusion of ICD-10 codes F84.0, F84.1, F84.5, F84.8, or F84.9 as the main diagnosis or additional diagnosis in the healthcare service databank of the National Health Insurance Database.5 12 13 To estimate the 8-year prevalence of ASD, we established birth cohorts of children born from 2002 to 2012. The total and sex-specific (male/female) numbers of ASD development every year were calculated until children became 8 years of age (e.g., children born in 2002 were followed up until 2010 and children born in 2012 until 2020, etc.).

To analyze the risk for premature mortality among children diagnosed with ASD, we established three new birth cohorts: 1) a birth cohort comprising children born between 2002 and 2012 and followed until 8 years of age (2010–2020) (e.g., children born in 2002 were followed up until 2010 and children born in 2012 until 2020, etc.), 2) a birth cohort comprising children born between 2002 and 2003 and followed until 8 years of age (2010–2011), and 3) a birth cohort comprising children born between 2011 and 2012 and followed until 8 years of age (2019–2020).

We estimated 8-year ASD prevalence and mortality, considering the average age at ASD diagnosis previously reported.14 Data on death and date of death were obtained from the mortality data in the National Health Insurance Database qualification databank.

Statistical analysis

The 8-year ASD prevalence (per 1,000 births) was calculated as the number of ASD cases detected until 8 years of age in children born each year, divided by the number of total birth in the corresponding year (e.g., the 8-year ASD prevalence in 2010 was calculated as the number of children diagnosed to ASD until 2010 among those born in 2002, divided by the number of total birth in 2002). Therefore, the 8-year ASD prevalence can be summarized as follows:

{P r e v a l e n c e}_{i} = \frac{N u m b e r o f A S D C a s e s U n t i l Y e a r i A m o n g C h i l d r e n B o r n i n Y e a r (i - 8)}{N u m b e r o f t o t a l b i r t h s i n y e a r (i - 8)} \times 1,000

i = year of interest

The risk of premature mortality among ASD patients was estimated using the above-mentioned birth cohorts through Cox proportional hazard models adjusted for sex, household income (high, middle, and low classes based on the health insurance premium quartile), area of residence (Seoul Capital area, which includes Seoul, Incheon, and Gyeonggi Province; other metropolitan areas; and other regions [cities and provinces]), and year of birth.15 The Cox proportional hazard models can be summarized as follows:

h(t) = h₀(t)exp(b₁X_sex + b₂X_{household income} + b₃X_{area of residence} + b₄X_{year of birth} + b₅X_{ASD diagnosis}

All statistical analyses were performed using SAS Enterprise Guide 7.1. Statistical significance was defined as a two-tailed P value < 0.05.

Ethics statement

The Institutional Review Board (IRB) of Seoul National University Hospital approved the study protocol (approval No. 20180917/07-2018-27/103) and waived the requirement for informed consent because anonymized claims data were used.

RESULTS

A total of 4,989,351 children born from 2002 to 2012 were enrolled in this study. Of these, 35,529 were diagnosed with ASD until 8 years of age. Among children born in 2002, 2,467 out of 473,494 children (5.2 per 1,000 births) were diagnosed with ASD, and 8-year ASD prevalence was 2.6 times higher among boys (1,839; 7.4 per 1,000 boy births) than among girls (628; 2.8 per 1,000 girl births). Among children born in 2012, 4,378 out of 467,360 children (9.4 per 1,000 births) were diagnosed with ASD, and 8-year ASD prevalence was 2.7 times higher among boys (3,246; 13.5 per 1,000 boy births) than among girls (1,132; 5.0 per 1,000 girl births) (Table 1).

Table 1

8-year prevalence of ASD among children born from 2002 to 2012

Year of birth		No. of births	No. of ASD diagnoses until 8 years of age	8-year ASD prevalence (per 1,000)
Total
	2002	473,494	2,467	5.2
	2003	476,016	2,462	5.2
	2004	456,277	2,498	5.5
	2005	418,613	2,435	5.8
	2006	431,444	2,684	6.2
	2007	479,462	3,459	7.2
	2008	453,113	3,320	7.3
	2009	428,321	3,482	8.1
	2010	451,572	4,070	9.0
	2011	453,679	4,274	9.4
	2012	467,360	4,378	9.4
Boys
	2002	247,648	1,839	7.4
	2003	247,472	1,853	7.5
	2004	236,866	1,881	7.9
	2005	216,873	1,818	8.4
	2006	223,196	1,952	8.7
	2007	246,812	2,511	10.2
	2008	233,498	2,405	10.3
	2009	220,747	2,571	11.6
	2010	233,155	3,014	12.9
	2011	232,955	3,191	13.7
	2012	239,980	3,246	13.5
Girls
	2002	225,846	628	2.8
	2003	228,544	609	2.7
	2004	219,411	617	2.8
	2005	201,740	617	3.1
	2006	208,248	732	3.5
	2007	232,650	948	4.1
	2008	219,615	915	4.2
	2009	207,574	911	4.4
	2010	218,417	1,056	4.8
	2011	220,724	1,083	4.9
	2012	227,380	1,132	5.0

ASD = autism spectrum disorder.

Table 2 shows the ASD cases newly diagnosed in each birth year. For most groups of children born in each year, the number of newly diagnosed ASD cases spiked at age 3 or 4 and substantially decreased after age 8 or 9.

Table 2

Total number of ASD newly diagnosed from 2002 to 2012

Year of birth		Year of ASD diagnosis
Year of birth		2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	Total
Total
	2002	37	158	265	337	373	400	545	224	128	144	106	96	101	86	95	80	86	92	81	3,434
	2003		86	196	314	442	478	347	230	190	179	130	100	76	85	105	73	95	89	73	3,288
	2004			67	196	360	555	441	295	216	206	162	126	96	68	101	100	101	100	69	3,259
	2005				92	260	425	454	358	286	250	186	124	104	93	86	88	129	99	64	3,098
	2006					123	391	447	439	416	334	210	193	131	118	97	91	99	156	76	3,321
	2007						214	551	429	639	558	365	337	209	157	126	122	97	141	110	4,055
	2008							202	394	448	707	516	339	334	219	161	161	141	136	113	3,871
	2009								191	401	494	699	589	362	350	227	169	138	136	105	3,861
	2010									281	432	526	793	601	436	481	313	207	201	123	4,394
	2011										284	367	551	799	659	545	505	332	232	175	4,449
	2012											176	376	544	795	736	551	587	410	203	4,378
Boys
	2002	21	90	188	271	306	298	390	176	99	104	84	70	81	73	75	74	64	70	60	2,594
	2003		51	127	239	342	374	278	168	144	130	98	72	54	61	81	55	66	63	62	2,465
	2004			44	120	247	431	344	230	170	167	128	103	77	49	79	77	69	80	53	2,468
	2005				46	142	315	364	288	221	193	151	98	74	71	71	70	99	76	46	2,325
	2006					76	216	297	348	331	269	157	153	105	93	79	75	77	123	60	2,459
	2007						114	323	289	506	433	287	271	160	128	106	94	75	111	78	2,975
	2008							110	224	300	556	395	268	265	165	122	132	111	102	91	2,841
	2009								102	231	358	548	462	285	283	169	133	108	115	82	2,876
	2010									156	255	383	626	451	344	373	252	174	162	102	3,278
	2011										163	203	399	632	523	414	407	267	183	142	3,333
	2012											83	196	388	618	585	431	455	325	165	3,246
Girls
	2002	16	68	77	66	67	102	155	48	29	40	22	26	20	13	20	6	22	22	21	840
	2003		35	69	75	100	104	69	62	46	49	32	28	22	24	24	18	29	26	11	823
	2004			23	76	113	124	97	65	46	39	34	23	19	19	22	23	32	20	16	791
	2005				46	118	110	90	70	65	57	35	26	30	22	15	18	30	23	18	773
	2006					47	175	150	91	85	65	53	40	26	25	18	16	22	33	16	862
	2007						100	228	140	133	125	78	66	49	29	20	28	22	30	32	1,080
	2008							92	170	148	151	121	71	69	54	39	29	30	34	22	1,030
	2009								89	170	136	151	127	77	67	58	36	30	21	23	985
	2010									125	177	143	167	150	92	108	61	33	39	21	1,116
	2011										121	164	152	167	136	131	98	65	49	33	1,116
	2012											93	180	156	177	151	120	132	85	38	1,132

ASD = autism spectrum disorder.

Regarding the risk of all-cause mortality among children with ASD (born between 2002 and 2012), the hazard ratio (HR) of death in children diagnosed with ASD was 2.340 (95% confidence interval (CI), 2.063–2.654; P < 0.001) compared to those who were not diagnosed with ASD. In the sex-stratified analyses, the HR for death according to ASD diagnosis was 4.223 (95% CI, 3.472–5.135; P < 0.001) for girls and 1.774 (95% CI, 1.505–2.090; P < 0.001) for boys, indicating that girls are at a higher risk of death from ASD (Table 3, Fig. 1). In analyses stratified by income status, the HR was not only increased in middle (2.359; 95% CI, 1.979–2.812; P < 0.001) and lower-income class (2.089; 95% CI, 1.546–2.825; P < 0.001) but also in the high-income class (2.469; 95% CI, 1.969–3.094; P < 0.001). Regarding the area of residence, the risk of premature death was higher among those residing outside the Seoul Capital area than those residing in the Seoul Capital area. In particular, the HR of death among people with ASD who were residing in areas in the Seoul Capital area was 1.961 (95% CI, 1.614–2.383; P < 0.001), that of those residing in other metropolitan areas was 2.765 (95% CI, 2.111–3.622; P < 0.001), and that of those residing in other cities and provinces was 2.692 (95% CI, 2.185–3.318; P < 0.001) (Table 3). Meanwhile, the HRs of all-cause premature mortality were 1.982 (95% CI, 1.414–2.781; P < 0.001) among children with ASD born between 2002 and 2003, and 2.391 (95% CI, 1.497–3.819; P < 0.001) among children with ASD born between 2011 and 2012.

Table 3

Risk of all-cause mortality in children with ASD compared with children without ASD, stratified by sex, household income, and area of residence

Variables		Stratum	Hazard ratio	95% CI	P value
Total^a		ASD	2.340	2.063–2.654	< 0.001
Total^a		No ASD	Ref.	Ref.	< 0.001
Sex
	Boys	ASD	1.774	1.505–2.090	< 0.001
	Boys	No ASD	Ref.	Ref.	< 0.001
	Girls	ASD	4.223	3.472–5.135	< 0.001
	Girls	No ASD	Ref.	Ref.	< 0.001
Household income
	High	ASD	2.469	1.969–3.094	< 0.001
	High	No ASD	Ref.	Ref.	< 0.001
	Middle	ASD	2.359	1.979–2.812	< 0.001
	Middle	No ASD	Ref.	Ref.	< 0.001
	Low	ASD	2.089	1.546–2.825	< 0.001
	Low	No ASD	Ref.	Ref.	< 0.001
Area of residence
	Seoul Capital Area	ASD	1.961	1.614–2.383	< 0.001
	Seoul Capital Area	No ASD	Ref.	Ref.	< 0.001
	Metropolitan Cities	ASD	2.765	2.111–3.622	< 0.001
	Metropolitan Cities	No ASD	Ref.	Ref.	< 0.001
	Others	ASD	2.692	2.185–3.318	< 0.001
	Others	No ASD	Ref.	Ref.	< 0.001

ASD = autism spectrum disorder, CI = confidence interval, Ref. = reference.

^aCox proportional hazard models adjusted for sex, income, area of residence, and year of birth.

Fig. 1

Risk of all-cause mortality in children with autism spectrum disorder stratified by sex.

Associations were assessed using Cox regression models adjusted for household income, area of residence, and birth year.

ASD = autism spectrum disorder.

DISCUSSION

Prior to devising policies pertaining to individuals with ASD, policymakers need to ascertain the number of people affected by the disorder and the number of people who would die due to the disorder.1 4 5 To date, corresponding information on ASD in the Republic of Korea has not been properly studied. Therefore, we followed up on all newborns and estimated the prevalence and mortality of ASD among children at 8 years of age.

In this study, we established birth cohorts of children born from 2002 to 2012 using nationwide population-based claims data in the Republic of Korea, analyzed newly diagnosed ASD cases according to birth year, and assessed the trend of diagnosis according to age for each cohort. The results showed that the number of newly diagnosed ASD cases spiked at age 3 or 4 and substantially decreased after age 8 or 9. This phenomenon was evident in both boys and girls. The present study also showed that the risk for premature death from ASD was higher among girls, the high-income class, and people residing in regions outside the Seoul capital area than among boys, the low-income class, and people residing in other regions, respectively.

Although the prevalence of ASD varies by country, it is on the rise overall.6 16 17 An increased prevalence means that there is an increased number of newly diagnosed cases if the mortality rate is consistent. The United States established the Autism and Developmental Disabilities Monitoring Network in 2000. The network analyzes the trends of ASD prevalence among 8-year-olds every 2 years.6 According to their data, the prevalence of ASD among 8-year-olds rose from 14.5 cases per 1,000 children (1 in 69 children) in 2012 to 18.5 cases per 1,000 children (1 in 54 children) in 2016.6 18 According to Canada’s National Autism Surveillance System, the prevalence of ASD among children aged 8 years old in Canada was 15.9 cases per 1,000 children in 2015; 28% of the children were diagnosed with ASD at or after the age of 8.19 In Sweden, the cumulative incidence of ASD is estimated to be 12 cases per 1,000 children among children aged 8 years old.20

In contrast, there is no nationwide data on the prevalence of ASD in the Republic of Korea, and the disorder is not continuously monitored.1 21 The prevalence of ASD among children in the Republic of Korea has been estimated based on regional epidemiology study results, as opposed to using nationwide data. The epidemiology study calculated the prevalence of ASD among elementary school children (7–12 years) to be 2.64% using an epidemiological tool. One noteworthy factor is that two-thirds of the patients with ASD, as identified using the epidemiological tool, had not been diagnosed by a physician prior to the survey.8 Even if nationwide population-based claims data, such as those used in the present study, were used in that study, the prevalence was calculated for all patients with ASD in a particular year; thus, it was difficult to identify the number of ASD diagnoses according to age.9 Thus, the present study is significant in that it is the first study to identify the annual nationwide prevalence of ASD according to age.

In a US surveillance monitoring study, the median age at ASD diagnosis among children aged 8 years old was reported to be 4.25 years.6 Among children aged 4 years old, the median age at diagnosis was 33 months, which is similar to our findings.22 As the rate of ASD diagnosis before age 4 increased from 58% in 2014 to 71% in 2018, there has been a growing emphasis on the importance and awareness of early ASD diagnosis.22 23 In a nationwide study conducted in Canada, the ASD diagnosis rate was 33% among children up to age 3 and 72% among children up to age 7, indicating a lower early diagnosis rate than the US.19

The prevalence of ASD among children aged 8 years and older, the stage at which the rate of increase in diagnosis diminishes, was 5.2–9.4 cases per 1,000 population, which is lower than that reported in foreign studies and that estimated in the Republic of Korea using an epidemiological tool.6 8 19 20 Previous epidemiological studies reported that two-thirds of children diagnosed with ASD using an epidemiological tool had not been diagnosed by a physician, shedding light on the reality of under-diagnosis of ASD and the consequent lack of treatment in the Republic of Korea.8 21 Although a previous large-scale study reported a 4–5 times higher prevalence of ASD in males than in females, the male-to-female prevalence ratio among children aged 8 years in the present study was relatively low at 2.45–2.82.6 14 19

Our analysis showed that the risk of mortality was substantially higher among preschool-aged children with ASD than among their counterparts without ASD. In particular, the risk of premature mortality was markedly higher among girls than among boys, a finding which aligns with the findings of previous studies.12 24 25 26 27 ASD is not a direct and sole cause of death. One of the hypotheses concerning the higher mortality rate associated with ASD is related to the comorbid conditions of ASD or intentional or unintentional injury.15 24 27 28 Since we analyzed all-cause mortality in this study, additional studies that include the analysis of the major comorbidities of ASD and the cause of death are needed.

When we stratified the risk of mortality from ASD according to income level, the risk of mortality was increased not only in the middle/low-income class but also in the high-income class. Previous studies reported that the rate of early ASD diagnosis and prevalence were higher in families with higher socioeconomic status, whereas delayed diagnosis and inadequate treatment in low-income families affected prognosis.29 30 31 Thus, further studies, especially those with information regarding the cause of death, should be conducted to analyze the association between the risk of premature mortality and family income and the reason for the gap between income levels using nationwide data.

Our analysis of the association between the risk of all-cause mortality and ASD diagnosis according to the area of the residence revealed that there are regional gaps in the risk of premature mortality from ASD. In particular, the risk of premature mortality was highest among those residing in other metropolitan cities, followed by other cities and provinces and the Seoul capital area. A previous study that analyzed the utilization of healthcare by individuals with ASD in the Republic of Korea reported that these individuals utilized 36% of the healthcare facilities in Seoul and 22% of the healthcare facilities in Gyeonggi Province as of 2017.5 Although more than half of the healthcare facilities utilized are located in the Seoul capital area, the findings of the present study indicate that the risk of premature mortality from ASD is substantially higher among people residing in regions outside the Seoul capital area. This may be attributable to differences in the supply of and access to healthcare services needed for ASD across regions or a low rate of diagnosis of ASD in regions outside the Seoul capital area. Therefore, further research is needed to estimate the prevalence of ASD according to region.

In the Republic of Korea, three types of databases, namely the disability registry, the current state of individuals with disabilities, and National Health Insurance Scheme data, are used to estimate the number of individuals with developmental disabilities, including ASD. The government relies on the disability registry database to develop policies. Thus, individuals must register their disability to reap the benefits of these policies. However, there is a risk that the number of people with ASD is underestimated in the disability registry due to issues such as stigma.1 4 32 The National Health Insurance claims data provide information on everyone in the Republic of Korea who received care for ASD. However, it is possible that the actual social burden due to ASD may be overestimated. An analysis of the 2017 health insurance claims data showed that healthcare utilization was remarkably diminished among people in their 30s and older and was virtually absent among people in their 40s and older.1 5 Therefore, cohorts need to be established and analyzed by linking the disability registry data and health insurance claims data to comprehensively determine the actual epidemiological features and social burden from ASD.1 4 5

Prior to this study, there has been virtually no attempt to estimate the nationwide prevalence of ASD—the most fundamental factors that need to be considered when developing and implementing relevant national policies—in the Republic of Korea. The present study confirmed that the increase in the prevalence of ASD in the Republic of Korea levels out from age 8. The current prevalence of ASD among children aged 8 years old was about 9.4 cases per 1,000 births and that the prevalence was about 2.7 times higher in boys than in girls. In addition, the risk of premature mortality was higher among children diagnosed with ASD and among girls with ASD than among boys with ASD. The significance of this study is that it generated foundational nationwide data that can be used in ASD research, policies, and decision-making. More specific studies, including analyses of causes of death, are needed to establish detailed targets and tailored policies and plans.

ACKNOWLEDGMENTS

We especially appreciate the National Health Insurance Service in Korea for sharing the invaluable national health insurance database in a prompt manner.

Notes

Funding: This study was supported by “Smile Together Foundation,” which is a non-governmental organization to help people with developmental disorders in 2020.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

Conceptualization: Kim KN, Kang SC, Kim HJ, Yun JE, Lee JY.
Data curation: Kim KN Kang SC.
Formal analysis: Kim KN, Kang SC.
Funding acquisition: Lee JY.
Investigation: Kim KN, Yoo SM, Kang SC, Kim HJ, Lee JY.
Methodology: Kim KN, Kang SC, Lee JY.
Software: Kim KN, Kang SC.
Supervision: Lee JY.
Visualization: Kim KN.
Writing - original draft: Yoo SM, Kim KN.
Writing - review & editing: Yoo SM, Kim KN, Kang SC, Kim HJ, Yun JE, Lee JY.

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