Educational delay and attainment in persons with neurofibromatosis 1 in Denmark

Abstract

Most research on psychosocial consequences of neurofibromatosis type 1 (NF1) has focused on the relationship between disease factors and cognitive functioning. NF1 may impair domains of learning and attention, resulting in low academic performance. This study is the first nationwide population-based cohort study to investigate educational attainment and delay in completing mandatory school by persons with NF1. Educational information was collected from 550 persons at the age of 30 (born 1965–1984). They were diagnosed with NF1 in Denmark and compared to a cohort of NF1-free persons matched on gender and age (n = 4295). Multinomial logistic models were applied to estimate odds ratios (ORs) for obtaining short (≤9 years) or medium (10–12 years) education compared to long education (>12 years) by the age of 30 years. We calculated the probability of graduating 9^th year of mandatory school at different ages in 932 persons with NF1 and 7962 NF1-free persons (born 1965–2000) using quantile regression. The OR of educational completion for short- and medium-term education was three fold (95% CI 2.55–3.99) and 1.29 fold (95% CI 0.99–1.69) higher, respectively, for persons with NF1 than NF1-free persons after adjusting for birth year, gender, psychiatric and somatic morbidity and mother’s education. Persons with NF1 were significantly delayed in graduating mandatory school education compared to NF1-free persons. When 90% of persons have graduated, persons with NF1 were 1.2 times older than the NF1-free persons. Experiencing delays in mandatory school likely affect further educational achievements and may impair employment and entering work force.

Introduction

Neurofibromatosis 1 (NF1) is one of the most common Mendelian diseases with a worldwide incidence of 1 per 2500 to 3000 persons [1]. This autosomal dominant disorder is caused by a germline, inactivating variant in the neurofibromin gene located at chromosome 17q11.2. NF1 is associated with a variety of clinical manifestations and complications leading to a reduced life expectancy [2–4]. Cardinal signs include café-au-lait macules, neurofibromas, axillary and inguinal freckling, optic glioma, iris lisch nodules and dysplasia of the long bone or sphenoid [5]. Further, neurologic complications are prevalent [6]. Although NF1 is believed to be completely penetrant by age 20, pleiotrophy and expressivity is extremely variable, even among family members with the same genetic variation [7] and it is not possible to predict which symptoms will develop in any affected individual [8].

Neurofibromin (the altered protein in NF1) plays a role in brain function [9] and cognitive impairment is considered the most common neurologic feature of NF1 in childhood [6]. Of 26 adolescents with NF1, 19% had intellectual functioning below average, although the degree of impairment was mild [10]. Furthermore, in 86 children with NF1, 75% performed significantly lower than grade peers in at least one of the domains of spelling, mathematics, technical reading or comprehensive reading, indicating learning disabilities [11], while 63% of another 81 NF1 children had attention difficulties and 38% fulfilled the diagnostic criteria for attention deficit hyperactivity disorder (ADHD) [12]. Compared with age- and gender-matched NF1-free controls, 20 young adults with NF1 showed significantly more problems with visual-spatial skills, auditory long-term memory, and language [13]. In a recent study, several prevalent somatic diseases, for example cancer and bone disease, as well as psychiatric conditions, such as ADHD and autism were described in the population of Danes with NF1 [14] and it may be expected that the presence of somatic, psychiatric but especially cognitive conditions will interfere with academic achievement and ultimately, educational attainment. However, few studies have examined educational achievement of persons with NF1 [11, 15–20], addressing mostly academic difficulties and the specific disorders that may challenge children with NF1 in school such as visual-spatial deficits, dyslexia and dyscalculia, attention deficits, and executive dysfunction. Academic performance (including reading, spelling, math reasoning, and listening comprehension) was significantly poorer in a hospital sample of 79 children with NF1 when compared to their 46 unaffected siblings [20]. However, beside the overall academic attainment, the trajectory of education also plays an important role. Higher rates of repeating first grade and poorer academic prognosis was observed in 116 children with NF1 compared to 80 normally developed children [21]. Semi-structured interviews revealed that 33% of 60 adults attained less than high school graduation[19], a rate similar among 228 adults with NF1 for completing under 10 years of education [22]. In Denmark graduation from year 9 represents the endpoint of lower secondary school and indicates a turning point for potentially further education and career building. Academic performance and the timely achievement of educational milestones are important for social and economic independence as well as participation in society later in life [21].

However, no large quantitative population-based study has investigated the completed educational level among adults with NF1 and no information about delays in achieving academic levels is available. Former research has been mainly cross-sectional based on self-reports or family report [18], often without a comparison group. Further details on overall educational achievement should improve support for persons with NF1 and their families.

To our knowledge, this is the first nationwide population-based cohort study of persons with NF1 and a population-based comparison cohort using the nationwide registers in Denmark that provide virtually complete follow-up. The study aims to address the two research questions: Which level of education do persons with NF1 achieve in Denmark and do they attain less education than NF1-free persons? In addition, do children with NF1 graduate from lower secondary school, which is required to initiate youth education (and subsequently any further education) at a later age than NF1-free children? We hypothesized that any association was modified by medical and psychiatric morbidity, which along with birth year, gender and mother’s education may modify the association.

Materials and methods

Study populations

We conducted a nationwide registry-based cohort study. In Denmark, all residents have been recorded in the Central Population Register (CPR) since 1 April 1968 [23] with unique personal identification numbers that ensure accurate linkage of information among all national registries.

The population register-based NF1 cohort consisted of all persons hospitalized for or treated with existing neurofibromatosis as registered in the National Hospital Register [24] from 1977 and onwards, as well as all patients affiliated to the two national Centers of Rare Disease situated at the National State Hospital Rigshospitalet in Copenhagen and at the University Hospital in Aarhus, Denmark. Overall, 2517 persons with NF1 were identified and registered due to diagnosis of or treatment for NF1, 2421 from the National Hospital Register and 637 from the Centers of Rare Disease (541 were in both sources).

A population-based NF1-free comparison cohort was randomly selected in the CPR based on gender and month and year of birth of the persons with NF1, in an approximate 10 to 1 ratio. From the CPR, we identified parents of the persons with NF1 and those in the comparison cohort, which numbers 25,128 persons. We extracted information on gender and date of birth, date of death or emigration for both study cohorts and the parents.

Information on education and medical and psychiatric disease

Educational attainment

We obtained the highest level of completed education from the Danish Education Registry, which includes information on all educational programs in the country since 1981 and ascertains the highest level of completed education on a yearly basis [25]. Thus, the study period with available data is 1981–2015. The Danish educational system currently consists of 9 years mandatory basic school (primary and lower secondary levels of education for children aged 6–16), youth education (high school/upper secondary education qualifying for higher education), vocational/technical training which qualifies for vocational positions, and higher education (consisting of 2–3½ year bachelor and professional programs and 5–6 years graduate university program of master and PhD level) [26]. We grouped education into the following categories, with the corresponding International Standard Classification of Education (ISCED-2011) codes: short (ISCED codes 1–2, ≤ 9 years), medium (ISCED 3–4, 10–12 years), and long (ISCED 5–8, > 12 years) [27]. For persons born before 1958, mandatory basic school was 7 years, which will apply for some parents. To investigate the highest educational attainment, a sub-sample was restricted to persons born 1965 to 1984 (NF1 cohort, N = 550; NF1-free cohort, N = 4295), in order to obtain information among persons aged 30 or older when most persons have completed their education. Since the education level was missing for a considerable proportion of the population born before 1920, we only included persons born after 1965 to reduce missing information on parental education information. This sub-analysis on age at completion of the mandatory 9^th grade, was restricted to those persons with NF1 who completed the 9^th grade of mandatory school. As most Danish children are expected to finish 9^th grade in the year they turn 16, persons born 1965–2000 were included (NF1 cohort, N = 932; NF1–free cohort, N = 7962). We obtained the date at completion of the mandatory 9^th grade for both the NF1 cohort and the NF1-free comparison cohort and computed the exact age at graduation (Fig. 1).

Fig. 1.

Cohort description

Somatic diseases

From the Danish National Patient Registry [24], we obtained information on all hospital contacts for cancer, bone diseases, diseases of the nervous system, diseases of the circulatory system and other somatic disorders (for ICD-8 and ICD-10 codes, see Table 1), which are the most prevalent severe conditions in Danish persons with NF1 [14].

Table 1.

Characteristics of persons with NF1 and the NF1-free persons at age 30, born 1965–1984, by length of education, Denmark

	NF1 cohort (N = 550)								NF1-free cohort (N = 4295)
	Educational level								Educational level
	Short		Medium		Long		Total		Short		Medium		Long		Total		P2)
	N	Row%	N	Row%	N	Row%	N	Col %	N	Row%	N	Row%	N	Row%	N	Col %
Gender
Male	100	41	105	43	38	16	243	44	405	22	899	49	545	29	1,849	43	0.614
Female	126	41	103	34	78	25	307	56	467	19	1,067	44	912	37	2,446	57
P1)								0.009								<0.001
Education	226	41	208	38	116	21	550		872	20	1,966	46	1,457	34	4,295		<0.001
Birth year
1965–1967	45	44	38	37	19	19	102	19	231	27	441	51	195	22	867	20	0.484
1968–1970	30	38	35	45	13	17	78	14	150	23	296	45	211	32	657	15
1971–1973	32	36	36	40	22	24	90	16	130	17	373	50	246	33	749	17
1974–1976	33	41	31	38	17	21	81	14	124	19	278	43	240	38	642	15
1977–1980	39	36	39	37	29	27	107	20	141	18	350	45	290	37	781	18
1981–1984	47	51	29	32	16	17	92	17	96	16	228	38	275	46	599	14
P1)								0.447								<0.001
Mother’s education
Short	99	59	55	33	13	8	167	33	363	32	576	50	202	18	1,141	29	0.167
Medium	92	36	110	43	54	21	256	50	344	17	1,016	50	658	33	2,018	52
Long	18	22	27	32	39	46	84	17	75	10	211	29	454	61	740	19
Missing	17		16		10		43		90		163		143		396
P1)								<0.001								<0.001
Cancera
	34	43	32	41	13	16	79	14	23	27.7	35	42.2	25	30.1	83	2	<0.001
P1)								0.549								0.236
Diseases of bone, joints and soft tissue
	36	51	26	36	9	13	71	13	83	34	106	44	54	22	243	6	<0.001
P1)								0.100								<0.001
Diseases of nervous systemc
	39	50	29	37	10	13	78	14	90	31	129	45	68	24	287	7	<0.001
P1)								0.095								<0.001
Diseases of circulatory systemd
	15	54	10	36	–		28	5	21	26	38	46	23	28	82	2	<0.001
P1)								0.265								0.365
Other medical diseasese
	145	46	117	37	55	17	317	58	505	2	957	45	658	31	2,120	49	<0.001
P1)								0.011								<0.001
Depressionf,g							17	3							89	2	0.124
Anxietyg,h							14	2.5							69	2	0.110
Other psychiatric diseasesi							94	17							442	10	<0.001

Due to missing data, some percentages do not equal 100%

Note: P¹⁾ the test probability from the chi-square test for each variable by education within the two cohorts (NF1 and NF1-free). P²⁾ the test probability from the chi-square test for each variable comparing totals by NF1 yes/no

For the variables on psychiatric and somatic diseases the numbers reflects the patients who were diagnosed or hospitalized

^aCancer; malignant (ICD-10): C00-C43, C46-C96, B21.0, D30.1-D30.9, D32-D33, D35.2-D35.4, D41.4, D42-D43, D44.3-D44.5, benign (ICD-8): 210–221, 223.0, 224, 225.5–225.6, 226.0–226.1, 226.4–228

^bDiseases of bone, joints soft tissue (ICD-8): 720–738, 274, 710–718

^cDiseases of nervous system (ICD-8): 290, 320–324, 340–342, 344–347, 349–358, 360–389

^dDiseases of circulatory system (ICD-8): 390–398, 400–404, 410–414, 420–438, 440–448, 450–458

^eOther medical diseases (ICD-8): 000–136, 240–242, 244–269, 275.4–276, 278–279, 606, 626–628, 280–281, 283–289, 460–519, 520–543, 550–577, 580–605, 607–625, 629, 700–709, 680–686, 690–698, 274, 710–718, 720–738

^fDepression (ICD-10): F32

^gDue to the small numbers of persons with NF1 also having a diagnosis of psychiatric disease, they were not stratified by educational level

^hAnxiety (ICD-10): F41

ⁱOther psychiatric disease (ICD-10): F01–99, excluding F32,F41, F84, F90

Psychiatric diagnoses

Information regarding hospital contacts with psychiatric diagnoses was retrieved from the Danish Psychiatry Research Register [28] from 1969 onwards supplemented with information from the National Patient Registry. We grouped the psychiatric diagnoses into anxiety, depression, ADHD, autism and other psychiatric disease (ICD-10 codes are included in Table 1 and Table 3).

Table 3.

Descriptive characteristics of the 1065 Danish persons with NF1 and the 8791 NF1-free persons, born 1965–2000, graduated from grade 9 in Denmark 1981–2015

	NF1 cohort				NF1-free cohort
	N	%	Grad.	Person-years	N	%	Grad.	Person-years
Total	1,065		932	2,734	8,791		7,962	19,274
Gender
Male	529	50	454	1,416	4,426	50	3,897	10,216
Female	536	50	478	1,318	4,365	50	4,065	9,058
Pearson χ2(1) = 0.17 Pr. = 0.68
Birth year
1965–1969	107	10	102	260	960	11	916	2,187
1970–1974	151	14	144	341	1,248	14	1,208	2,687
1975–1979	136	13	128	351	1,025	12	996	2,278
1980–1984	133	13	119	412	907	10	869	2,082
1985–1989	128	12	115	384	934	10	890	2,249
1990–1994	164	15	153	465	1,375	16	1,314	3,330
1995–2002	246	23	171	520	2,342	27	1,769	4,461
Pearson χ2 (6) = 12.20 Pr = 0.058
Mother’s education
Short	343	32	298	891	2,234	25	2,003	5,381
Medium	502	47	439	1,317	4,273	49	3,914	9,199
Long	189	18	168	434	2,097	24	1,896	4,211
Missing	31	3			187	2
Pearson χ2 (3) = 35.11 Pr = 0.000
Cancera
Yes	57	5	50	148	49	1	48	102
Pearson χ2 (1) = 205.26 Pr = 0.000
Diseases of bone, joints and soft tissueb
	76	7	70	192	137	2	126	306
Pearson χ2 (1) = 139.77 Pr = 0.000
Diseases of nervous systemc
	155	15	126	479	468	5	406	1,136
Pearson χ2 (1) = 136.68 Pr = 0.000
Diseases of circulatory systemd
	25	2	19	62	34	0	32	72
Pearson χ2 (1) = 61.37 Pr = 0.000
Other medical diseasese
	533	50	461	1,442	3,071	35	2,746	6,938
Pearson χ2 (1) = 93.54 Pr = 0.000
Anxietyf
	7	1	5	17	48	1	42	123
Pearson χ2 (1) = 0.21 Pr = 0.645
Autismg
	23	2	15	92	92	1	75	295
Pearson χ2 (1) = 10.21 Pr = 0.001
ADHDh
	50	5	39	114	114	1	94	324
Pearson χ2 (1) = 67.03 Pr = 0.000
Autism/ADHD
	69	7	50	198	199	2	163	601
Pearson χ2 (1) = 63.81 Pr = 0.000
Depression and other psychiatric diseasesi
	172	16	128	499	497	6	405	1,432
Pearson χ2 (1) = 165.42 Pr = 0.000
Age at graduation (years)
14–15			10	1,047			46	8,622
15–15.5			44	501			579	4,090
15.5–16			278	413			3,189	3,074
16–16.5			348	235			3,250	1,260
16.5–17			170	110			703	345
17–18			77	83			186	315
18–20			5	346			9	1,568

^aCancer; malignant (ICD-10): C00-C43, C46-C96, B21.0, D30.1-D30.9, D32-D33, D35.2-D35.4, D41.4, D42-D43, D44.3-D44.5, benign (ICD-8): 210–221, 223.0, 224, 225.5–225.6, 226.0–226.1, 226.4–228

^bDiseases of bone, joints soft tissue (ICD-8): 720–738, 274, 710–718

^cDiseases of nervous system (ICD-8): 290, 320–324, 340–342, 344–347, 349–358, 360–389

^dDiseases of circulatory system (ICD-8): 390–398, 400–404, 410–414, 420–438, 440–448, 450–458

^eOther medical diseases (ICD-8): 000–136, 240–242, 244–269, 275.4–276, 278–279, 606, 626–628, 280–281, 283–289, 460–519, 520–543, 550–577, 580–605, 607–625, 629, 700–709, 680–686, 690–698, 274, 710–718, 720–738

^fAnxiety (ICD-10): F41, Depression (ICD-10): F32

^gAutism (ICD-10): F84

^hADHD (ICD-10): F90

ⁱDepression and other psychiatric disease (ICD-10): F01–99, excluding F41, F84, F90

Statistical analyses

Descriptive characteristics of the persons with NF1 as well as the population-based matched comparison subjects and differences in distributions were evaluated by Chi-square tests for both educational attainment at age 30 or more and delay in finalizing 9^th grade of mandatory school.

Educational attainment

Multinomial logistic regression models were used to investigate the association between NF1 status and education using long education as the reference category for short or medium education and presenting the results as conditional odds ratio (COR). To account for some persons with NF1 being related, we applied robust variance estimation adjusting for within cluster correlations (the clusters being families) [29].

Three multinomial logistic regression models were developed stepwise adding the potential confounders and effect modifiers. Model 1 included the exposure NF1 status and birth year (in 3–4 year blocks from 1965–1984) and gender, and Model 2 further included the educational level of the mother. Since more fathers than mothers had missing education we only included mothers’ education as confounder in the analyses. Finally, in Model 3, we further added information about medical and psychiatric disease, which may be considered as effect modificator [14, 30, 31] of the NF1 effect on the attained education level. Possible effect modification was examined in Model 3 by adding the interactions between NF1 status and birth year, medical disease, psychiatric diagnosis, mother’s education and gender one at a time.

In order to display the effect of NF1 on the probability of educational attainment, we calculated the differences between the probability of education for persons with NF1 and NF1-free persons for each birth period based on Model 3.

Delay in graduation from lower secondary school

Non-parametric estimates of the cumulative probability functions by NF1-status were calculated to assess graduating from 9th grade at different ages (estimates by 1-Kaplan Meier). Quantile regression was used to model quantiles of the age at graduation adjusting for possible confounders. The analyses included the 10^th, 25^th, 50^th, 75^th and 90^th percentiles. Three different regression models were fitted: Model 1 included the exposure NF1 and the potential confounders birth year (in 5-year blocks between 1965 and 2002) and gender, Model 2 additionally included mother’s education. Finally, Model 3 added information about medical and psychiatric disease to investigate possible effect modification.

Sensitivity analyses

Missing information on maternal education was about 9%. Sensitivity analyses were performed using multiple imputations, a simulation-based technique to treat missing data was run on 50 imputed data sets. Multinomial logistic analysis were carried out in STATA version 14 [32]. The quantile regression analysis were carried out in SAS software [33]. The study was approved by the Danish Protection Agency (Record 2014–41–2935) and the Human Research Protection Office (HRPO) (A-18370.i) (June 2015/2016).

Results

Highest attained education

The NF1 cohort consisted of 550 adult persons who were matched to 4295 NF1-free persons with a proportion of 56 and 57% females, respectively. Overall, more persons with NF1 had short education and fewer a long education compared to the NF1-free cohort (41% versus 20 and 21% versus 34%, respectively; p < 0.0001). Additional characteristics of the cohorts are shown in Table 1.

The adjusted odds ratio of short education was three-fold increased for persons with NF1 (COR 3.00, 95% CI: 2.55–3.99, Model 3), while COR of medium education was 1.29 for the persons with NF1 (95% CI 0.99–1.69, Model 3) compared to NF1-free persons (Table 2). In general, the adjustments from model 1 to 3 only resulted in minor changes to the COR estimates and no effect modification of NF1 on education according to gender, birth year, medical disease, depression, anxiety, or other psychiatric disorders was observed (data not shown).

Table 2.

Multivariate odds ratios (OR) with 95% confidence intervals (CI) for education levels among persons with NF1 born 1965–1984, compared to NF1-free persons using long education as the reference level, Denmark, 1981–2015

	Short education		Medium education
	OR	CI	OR	CI
NF1
No	1.00	Reference	1.00	Reference
Yes	3.00	2.25–3.99	1.29	0.99–1.69
Gender
Male	1.00	Reference	1.00	Reference
Female	0.58	0.48–0.70	0.60	0.52–0.69
Birth year
1965–1967	1.00	Reference	1.00	Reference
1968–1970	0.60	0.44–0.81	0.72	0.56–0.93
1971–1973	0.48	0.36–0.66	0.75	0.59–0.96
1974–1976	0.46	0.33–0.63	0.61	0.47–0.79
1977–1980	0.37	0.27–0.50	0.59	0.46–0.76
1981–1984	0.30	0.22–0.41	0.44	0.34–0.57
Mother’s education
Short	1.00	Reference	1.00	Reference
Medium	0.30	0.24–0.37	0.56	0.47–0.68
Long	0.10	0.07–0.13	0.18	0.14–0.22
Cancer
No	1.00	Reference	1.00	Reference
Yes	1.28	0.78–2.07	1.14	0.74–1.77
Diseases of bone, joints and soft tissue
No	1.00	Reference	1.00	Reference
Yes	2.21	1.56–3.13	1.46	1.05–2.02
Diseases of nervous system
No	1.00	Reference	1.00	Reference
Yes	1.83	1.32–2.55	1.43	1.06–1.91
Diseases of circulatory system
No	1.00	Reference	1.00	Reference
Yes	1.49	0.80–2.79	1.30	0.76–2.23
Other medical diseases
No	1.00	Reference	1.00	Reference
Yes	1.54	1.28–1.85	1.15	0.99–1.33
Depression
No	1.00	Reference	1.00	Reference
Yes	1.72	0.89–3.35	1.14	0.60–2.16
Anxiety
No	1.00	Reference	1.00	Reference
Yes	2.06	0.94–4.53	1.77	Reference
Other psychiatric diseases
No	1.00	Reference	1.00	Reference
Yes	4.37	3.24–5.88	1.41	1.06–1.88
Intercept	2.69	2.05–3.54	4.77	3.75–6.07

OR odds ratio, CI confidence intervals

The estimated standard errors used to calculate 95% confidence intervals are robust taking into account that some of the subjects are related

Model is adjusted for gender, birth year, mother’s length of education, medical and psychiatric diseases

Persons with NF1 had a significant and approximate 0.20 higher probability of having attained short education and approximately 0.15 lower probability of long education compared to the NF1-free population (Fig. 2). For the birth cohort born in 1974–76, mother’s education was associated with attained education in both groups, but having NF1 increased the probability of having short education at age 30 significantly irrespective of mother’s education (Fig. 3).

Fig. 2.

Effect of NF1 status on the probability of length of education by birth year (1965–1984) among 550 adults with NF1 and 4295 NF1-free persons in Denmark, 1981–2015

Fig. 3.

Effect of NF1 on the probability of education by mother’s length of education (in birth year 1974–1976) among 550 adults with NF1 and 4295 NF1-free persons in Denmark, 1981–2015

Only minimal differences from the main results were seen in the sensitivity analyses by using multiple imputations albeit with narrower CIs (results not shown).

Delays in graduation from lower secondary school

In total, 932 persons with NF1 and 7962 NF1-free persons born 1965–2000 graduated from 9^th grade between 1981 and 2014. As displayed in Table 3, a higher prevalence of psychiatric and somatic diagnoses were seen in persons with NF1 compared to that in NF1-free persons.

The cumulative probability of graduation from 9^th grade by NF1 status (Fig. 4a) showed that persons with NF1 finished their mandatory school education later than NF1-free persons from around age of 15.5 years with an increasing age difference from then onwards. This was more pronounced for males than for females.

Fig. 4.

a, b Cumulative probability of graduating from year 9 at different ages by NF1 status for persons born 1965–2000 (a) and cumulative probability of graduating from year 9 by gender and NF1 status for persons born 1975–1979 (b), Denmark, 1981–2015

The effect of NF1 status on age at graduation from 9th grade increased with each percentile. After 10% of the persons with NF1 had graduated from 9^th grade, 5% (95% CI, 2–8%) were older than the NF1-free persons adjusted for sex and birth year (Table 4). When half of the persons had graduated, 9% (95% CI: 7–11%) were older than the NF1-free persons and when nearly all (90%) had graduated 26% (95% CI 19–33%) of the persons with NF1 were older. Adjusting for mother’s length of education marginally changed the estimate for the 90% quantile, whereas only adjusting for somatic and psychiatric disease did not change estimates (Table 4).

Table 4.

Effect on age at graduating from 9^th year of mandatory school in 932 persons with NF1 born between 1965 and 2000 given as percentiles for graduating with 95% CI, compared with 7962 NF1-free persons

	Model 1a(n = 9856)		Model 2 (n = 9638)		Model 3 (n = 9638)
	Effect	CI	Effect	CI	Effect	CI
10th percentile
NF1-free	1	.	1	.	1	.
NF1	1.05	1.02–1.08	1.06	1.03–1.08	1.05	1.02–1.08
25th percentile
NF1-free	1	.	1	.	1	.
NF1	1.07	1.04–1.09	1.07	1.04–1.09	1.06	1.04–1.09
Median
NF1-free	1	.	1	.	1	.
NF1	1.09	1.07–1.11	1.09	1.07–1.11	1.08	1.05–1.10
75th percentile
NF1-free	1	.	1	.	1	.
NF1	1.14	1.10–1.17	1.12	1.09–1.15	1.11	1.08–1.14
90th percentile
NF1-free	1	.	1	.
NF1	1.26	1.19–1.33	1.21	1.12–1.29	.	.

CI confidence interval

^aModel 1 adjusted for birth year group and gender

^bModel 2 adjusted for birth year, gender and mother’s education

^cModel 3 adjusted for birth year, gender, mother’s education, somatic and psychiatric diseases

Looking specifically at the birth cohort 1975–79 at age 16 years, the probability of graduating from 9^th grade was 0.35 among boys with NF1 and 0.41 among girls with NF1, whereas it was 0.44 in boys and 0.55 in NF1-free girls, respectively (Fig. 4b).

Discussion

In this nationwide registry-based study, we found that persons with NF1 had a higher likelihood of attaining only short and medium education and that they graduate from mandatory school at a later age compared to NF1-free persons, with males being more delayed than females. Contrary to our hypothesis, we found no indication that medical and psychiatric diseases moderated the effect of NF1 on educational achievement.

The results of our nationwide study align with prior findings, e.g., a German sample that showed that about 30% (N = 68) of the participants with NF1 attained nine years of education or less [34]. Semi-structured interviews of 60 Australian adults with NF1 revealed that 33% of the sample reached an educational level below high school and 25% had a university degree [19]. We demonstrated higher or similar proportions of short and long education of 41 and 21%, respectively, in our large nationwide study in a country with free (tax-financed) education at all levels. Importantly, these proportions were much higher for short and lower for long education when compared to persons not affected by NF1. Several potential mechanisms may play a role for educational outcome including cognitive functioning, certain academic skills such as reading or spelling, learning disabilities and medical and psychiatric disease burden. Supporting cognitive functioning as a potential mechanism, it has been reported that the Intelligence Quotient (IQ) in the majority of children with NF1 lies within the normal range, but roughly 10 points lower [12]. However, intelligence alone may not play an important role in educational achievement. Additionally, children with NF1 have been shown to have lower performance in academic skills [21] such as reading [18] and higher prevalence of dyslexia and dyscalculia [15] compared to NF1-free children, resulting in lower academic achievements. Such impairments might strongly contribute to the lower levels of the highest attained education found in this nationwide study. Lehtonen et al. concluded in a systematic review based on 57 studies that children with NF1 do worse in most academic tasks compared to their siblings, comparison children, or standardized norms [11, 16, 21, 35, 36]. Learning disabilities are not only present during childhood and school time. Granström found in a questionnaire-based survey that two-thirds of a cross-sectional sample of 228 adults with NF1 reported current learning problems [34]. We did not find any effect modification on by medical or psychiatric diseases and infer that more subtle and possibly undiagnosed cognitive (e.g. ADHD [37]) and physical problems not resulting in hospitalizations may account for children who are able to finish lower secondary school but who are graduating at a later age. This is consistent to findings by Coudé et al. that 53% of persons with NF1 had repeated their school grade and 67% were found to be inattentive [38]. Further, Pride et al. showed that a comorbid diagnosis with ADHD affects some aspects of cognitive functioning and learning compared to children with only NF1 as well as unaffected children [39]. This calls for further research to investigate underlying reasons and how cognitive functioning may affect the educational attainment in persons with NF1.

Our study design does not allow us to disentangle the direct causes for delays in graduation from mandatory school or to identify if delay is primarily due to later start at school, repetitions of school years through school or a combination of these. However, the physical symptoms and their treatments, cognitive impairments, learning disabilities and lower academic performances probably all contributed to the significant delays of persons with NF1 in primary and lower secondary school.

Over time, the education level in the general population have increased, which was also observed in the current study. This might be the result of the high investments in the Danish pre-primary and primary education and further development of the education system [40]. However, we have to consider that reaching a university degree is not necessarily the educational aim for all persons. Not only cognitive and physical functioning, but also motivation, ambition, social skills and familial resources as well as peer group expectations contribute to the individual choice of a specific educational attainment. In our analyses, we accounted for calendar time and for socioeconomic family background by using mother’s education.

Among those graduating early, differences between persons with and without NF1 are modest, but among the oldest persons with NF1 to graduate, 26% are older than their NF1-free peers. This may suggest heterogeneity among persons with NF1 [7], where persons, who are less delayed in graduation may be different in terms of how NF1 affects them (e.g. in terms of disease severity and consequently in hospitalizations and other health service needs). However, further studies are needed to address these possible differences.

The strengths of the study include the nationwide population-based design with inclusion of all persons diagnosed with NF1 and no loss of follow-up using data collected independently of study hypotheses. The large sample size enabled sub-analyses using almost complete data on both covariates and outcomes, which strengthen the generalizability of the results. The access to nationwide health registries ensured information on medical and psychiatric diseases, used as proxies for severity of NF1. Further, we were able to take into account the mother’s education, which is a well-known predictor for the educational level of children [41] thus minimizing confounding bias.

The present study also has limitations. Although identification of the persons with NF1 relied on diagnoses retrieved from the hospital register, medical records have not been examined to verify the diagnosis, and we thus cannot exclude misclassifications. Even though this was one of the largest cohort studies on educational attainment, some sub-analyses had low statistical power. Further, to evaluate the impact of missing information on mother’s education, we applied multiple imputation, which did not affect the results. We chose to focus on the first major educational milestone, graduation from lower secondary school, as this is the point in time where each individual first chooses his or her educational trajectory. Further substantial delays during education beyond mandatory school among persons with NF1 may thus underestimate ultimate educational attainment delay.

Conclusions

This nationwide study demonstrates that persons with NF1 have educational delays starting as early as in basic school with the potential to persist during adulthood and that they are less likely to attain medium or higher educational level. These findings have implications for schools, health professionals and municipalities to provide adequate support for students with NF1 in order to ensure the highest possible educational level according to the potential and wishes of each person with NF1. Early interventions and specific therapeutic approaches targeting the specific disorders and disabilities that play a role for educational attainment should be implemented in order to improve social functioning and increase participation of persons with NF1 in society as well as work market affiliation.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.