Employment, occupation, and income in adults with neurofibromatosis 1 in Denmark: a population- and register-based cohort study
Orphanet Journal of Rare Diseases volume 18, Article number: 346 (2023)
Little is known about employment status, occupation, and disposable income in adults with NF1.
From the Danish National Patient Registry and database of two national Centers for Rare Diseases, we identified 1469 adults with NF1, who were matched to 11,991 randomly selected population comparisons on sex and birth year and month. Annual information on employment, occupation and disposable income was ascertained from national registries in 1980–2019.
Adults with NF1 had a lower odds ratio (OR) for employment [OR 0.71, 95% confidence interval (CI) 0.61–0.83] and higher OR for health-related unemployment (OR 2.94, 95% CI 2.16–3.96) at age 30 years than population comparisons, which persisted at age 40 and 50 years. Somatic diagnoses were associated with a higher OR for health-related unemployment in adults with NF1 than in the population comparisons. Adults with NF1 had a slightly lower disposable income, with a 14% (0.82–0.89) reduction observed among the youngest birth cohort. Furthermore, adults with NF1 were less likely to be in a high skilled occupation at ages 30, 40 and 50 years.
Adults with NF1 have a lower employment rate, which was mainly due to health-related reasons and a slightly lower disposable income than adults without NF1. Thus, anticipation guidance for employment should be part of the management of NF1 families.
Neurofibromatosis 1 (NF1 [MIM 162200]) is one of the most common single-gene disorders, with a reported birth incidence of up to 1/2000 . Although NF1 can affect all organ systems of the body, cutaneous, neurologic, and orthopedic manifestations occur most often in individuals with NF1 . NF1 has an extreme clinically variability, both within family members with the same variant, but also in an individual at different times in life . Some individuals with NF1 will not be significantly affected on their health, while others experience severe psychiatric and medical morbidities [4, 5], including an increased risk of cancer , which may lead to a reduced life expectancy . NF1 has a negative impact on quality of life [7, 8] and educational attainment [9, 10], which together with the high disease burden, may have long-term consequences for employment status, occupational position, and income.
A few cross-sectional studies have reported employment rates in adults with NF1 [7, 8, 11,12,13]. Based on self-reported data, employment rates have ranged between 41% in a Danish questionnaire study of 244 adults with NF1  to 70% both (full- and part time) employment among 498 American adults with NF1 . Recently, a Finnish study showed that individuals with NF1 had a lower number of working days per year, but they were more often unemployed and had more sickness absence than a control cohort . Using the same study population, another Finnish study reported that NF1 decreased the probability of having a work-related income as well as the amount of annual earning among those having an income from work . Due to the limited number of population-based studies evaluating work life of adults with NF1 in a population-based setting, we conducted a cohort study assessing employment, occupational position, and income in 1469 adults with NF1 and their 11,991 matched population comparisons at ages 30, 40 and 50 years with annual outcome information from unique Danish nationwide registries.
Patients and methods
NF1 and comparison cohort
We have previously established a national cohort of 2467 individuals hospitalized with or for NF1 or followed on one of two national Centers for Rare Diseases at Aarhus University Hospital or Copenhagen University Hospital, Rigshospitalet (a detailed description of the cohort is available ) in the period 1977 to 2013. All individuals with NF1 were matched to ten general population comparisons, randomly selected from the Danish Civil Registration System and matched on birth month and year as well as sex . From this cohort, we identified 1469 individuals with NF1 living in Denmark and their 11,991 matched population comparisons, who were ≥ 30 years old at start of study. Finally, we retrieved information on migration and vital status from the Danish Civil Registration System for all cohort members.
Employment, occupational position, and income
All inhabitants in Denmark are given a unique personal identification number at birth or upon emigration to Denmark, which enables accurate linkage among national registries . By linking the personal identification number of all included individuals, we ascertained information on employment, occupation and income from nationwide administrative registers updated annually by Statistics Denmark.
Information on annual employment and disposable income was obtained from the Integrated Database for Labour Market Research (IDA Register) , which was available in the period 1980–2019. The register contains longitudinal information on income, employment, and establishments on an individual level. We categorized employment status on annual basis into three groups: employed, unemployed (i.e., individuals who receive unemployment benefits and not health-related social security benefits during that calendar year) and unemployed for health-related reasons (i.e., individuals who received sickness or disability benefits, social assistance or rehabilitation benefits or health-related retirement during that calendar year). If an individual was registered as employed at one point during a calendar year, then the individual was categorized as employed irrespective of any other registration of unemployment during the same calendar year. Likewise, an individual was classified as unemployed for health-related reasons if any social benefits due to health reasons were received during a calendar year. Thus, employment, unemployment, and health-related unemployment were mutually exclusive, so an individual could only be registered as either employed, unemployed, or unemployed for health-related reasons during a calendar year. Finally, we did not include individuals in the employment analyses in a calendar year during which they were enrolled as students at any teaching institutions.
Also, from the IDA Register , we included data on annual disposable income, which is defined as the amount of money that an individual has in his or her possession after income taxes and interests have been deducted. Based on annual disposable income, we defined low income as income below the threshold set at 60% of the median disposable income, corresponding to the at-risk-of-poverty threshold used by Eurostat .
We obtained information on occupational positions from the Employment Classification Module (AKM Register), which collects annual information on the most important employment activity (i.e. the activity with the highest income) since 1993 . We grouped occupational positions for the period 1993–2019 into 10 major groups according to the International Standard Classification of Occupation (ISCO-08) : (1) managers, (2) professionals, (3) technicians and associate professionals, (4) clerical support workers, (5) services and sales workers, (6) skilled agricultural, forestry and fishery workers, (7) craft and related trades workers, (8) plant and machine operators and assemblers, (9) elementary occupations, (10) armed forces occupations. Additionally, we grouped occupational positions according to ISCO skill level (i.e., the ability to carry out the tasks and duties of a given occupation defined by the complexity and range of tasks) with highly skilled occupations defined by ISCO group 1, 2 or 3 .
Highest educational attainment
We have previously reported that individuals with NF1 are less likely to achieve a medium or long education compared to the background population . Thus, we linked our study population to the Danish Education Registry, which includes information on all educational programs in Denmark since 1981. The Registry ascertains the highest level of completed education on a yearly basis . We included information on highest attained education before age 30 years categorized as short (≤ 9 years of education), medium (10–12 years), and long (> 12 years) education.
Hospital contacts for somatic and psychiatric disease
We included information on somatic and psychiatric disease before age 30 years to assess their association with employment status, occupational position, and disposable income at age 30 years. From the Danish Cancer Registry , we retrieved all primary cancer diagnoses. Information on hospitalizations for somatic disease other than cancer was obtained from the Danish National Patient Registry  and categorized into six groups on a yes/no level: benign tumors, neurologic disease, gastrointestinal disease, diseases of bones, joints and soft tissue and other somatic disease. Finally, we included information on psychiatric hospital contacts from the Danish Psychiatric Central Research Register . The register was established in 1969 and includes information on all patients treated at psychiatric departments in Denmark, supplemented with outpatient and emergency room contacts since 1995. Information on psychiatric diagnoses was included as any/no hospital contacts for psychiatric disease (a list of all included diagnoses has previously been published ).
We assessed employment, health-related unemployment, and other unemployment as well as disposable income from age 30 years using the study cohorts of 1469 individuals with NF1 and 11,991 population comparisons. The study population was followed until date of death, emigration, or end of study period (31 December 2019), whichever occurred first. Only individuals surviving to each age were compared.
Employment, health-related unemployment, other employment, and low disposable income were defined as dichotomous outcomes. We plotted the annual prevalence of individuals in each group between ages 30 and 50 years stratified by sex. Unconditional logistic regression models were used to estimate odds ratios and 95% confidence intervals (CIs) for employment, health-related unemployment, other employment, and low disposable income adjusting for calendar period using linear splines, highest attained education, and sex. In all analyses, individuals with and without NF1 were compared at age 30, 40, and 50 years. The analyses were conducted using the whole study population alive at each age. We also conducted logistic regression analyses of employment, unemployment, and health-related unemployment at age 30 years for specific somatic disease groups (cancer, benign tumors, diseases of nervous system and sense organs, diseases of digestive organs, and diseases of bone, joints, and soft tissue) and any psychiatric disease adjusting for calendar period using linear splines, highest attained education, and sex.
We plotted the median annual disposable income between ages 30 to 50 years. We used linear regression to assess the disposable income level in individuals with NF1 compared to the general population for different birth cohorts (1929–1940, 1941–1950, 1951–1960, 1961–1970, 1971–1980, and 1981–1988). We also assessed difference in occupational position at age 30 years using the 10 major ISCO groups in a logistic regression model. Employed cohort members with missing information on occupation were included as a missing group. Finally, we estimated the odds for obtaining a highly skilled occupation (defined as ISCO group 1, 2 and 3) at ages 30, 40 and 50 years using a logistic regression model. These analyses were adjusted for calendar year using linear splines, highest attained education, and sex. We performed the analyses using R version 4.1.0 with the spline packages .
Characteristics of the included 1469 individuals with NF1 and 11,991 population comparisons are seen in Table 1. The median attained age at the end of follow-up was 53.5 years in individuals with NF1 and 57.7 years for the population comparisons. A higher percentage of the individuals with NF1 than the population comparisons had been hospitalized with somatic disorders before the age of 30 years, or registered with a psychiatric hospital contact. In addition, more individuals with NF1 had a short education than the comparisons.
Employment, unemployment, and health-related unemployment
Figure 1A–C show the annual proportions of employment, unemployment, and health-related unemployment at ages 30 to 50 years. At all ages, individuals with NF1 were less often employed than the comparisons, with the lowest employment rate observed in women with NF1 aged 50 years (63%; female comparisons: 79%) (Fig. 1A). The annual proportion of individuals being unemployed was similar to the comparison cohort; however, individuals with NF1 were more often unemployed due to reasons related to health. At age 50 years, 18% of women with NF1 were health-related unemployed compared to 7% of the female comparisons.
We found that individuals with NF1 had a lower OR for employment than the comparison cohort, both at age 30 (OR 0.71, 95% CI 0.61–0.83), 40 (OR 0.58, 95% CI 0.49–0.68), and 50 (0.53, 95% CI 0.45–0.62) years (Table 2). We did not find any increased OR for unemployment. At age 30 years, individuals with NF1 had an increased OR for health-related unemployment of 2.94 (95% CI 2.16–3.96), which was also increased at age 40 and 50 years. The ORs for employment were slightly lower in women with NF1 than in men with NF1 when compared with women and men from the general population, respectively. The ORs for health-related unemployment were slightly higher in women with NF1 (Additional file 1: Table S1).
We assessed previous somatic hospitalizations for cancer, benign tumors, neurological disease, gastrointestinal disease and diseases of bones, joints and soft tissues and psychiatric contacts as risk factors for employment status at age 30 years (Table 3). Individuals with NF1 who had somatic hospitalizations before age 30 years had a higher OR for being unemployed for health-related reasons than population comparisons who also had somatic hospitalizations. Due to too few cancer diagnoses in the comparison cohort, we were unable to assess cancer as a risk factor for health-related unemployment. No association was found between any psychiatric hospital contact and the different outcomes.
Individuals with NF1 had lower ORs for being in high skilled occupation, including managers, professionals, and technicians and associate professionals at age 30 years compared with individuals without NF1 (Table 4); however, the OR was only significantly decreased for professionals (OR 0.60, 95% CI 0.41–0.87). When we combined the high skilled occupations, individuals with NF1 had significantly lower ORs for being in a high skilled occupation both at age 30, 40 and 50 years (Table 4).
Figure 2 shows the median, 25th and 75th percentile annual disposable income by age for different birth cohorts. The difference in disposable income between individuals with NF1 and the comparison group increased for the youngest birth cohorts, where the median disposable income for those with NF1 was almost similar to the 25th percentile of the comparison group. The results from the linear regression revealed that adults with NF1 had a slightly lower disposable income than the population comparisons, with a 14% reduction observed among the youngest birth cohort (Additional file 2: Table S2). However, individuals with NF1 did not have increased ORs for being in the low disposable income group either at age 30, 40 or 50 years (Table 2).
Information on employment, occupational, and income from high-quality registries and long follow-up enabled us to assess annual employment status, occupational positions, and disposable income in both early and late adulthood among 1469 individuals with NF1. We found that a considerable number of individuals with NF1 were not employed, which was mainly due to health-related reasons. Medical diseases were associated with increased health-related unemployment. The disposable income was decreased among adults with NF1, with an income of up to 14% lower of the comparison cohort in the youngest birth cohort. Finally, we found that individuals with NF1 were less likely to be employed in high skilled occupations.
According to our knowledge, this is the first study to report sex-specific employment status in individuals with NF1 using a nation-wide and population-based study design. At all ages, the employment rates were lower in individuals with NF1 than in population comparisons, with the lowest rate observed among women with NF1. Several factors are associated with employment status, including educational attainment, where higher educational attainment has been found to decrease long-term unemployment . Two large population-based cohort studies in Denmark and Finland have reported reduced educational achievements in individuals with NF1 [9, 10], with a tendency of vocational over academic education in individuals with NF1 . Using the same Danish NF1 cohort, we have also shown that children with NF1 have significantly lower school grades than their NF1-free peers when finalizing mandatory school, and the largest difference was seen for girls with NF1 . The lower grades, shorter educational level, and higher odds for less skilled occupation might reduce the number of potential jobs for women with NF1 and explain why fewer women than men with NF1 are employed. Our findings of lower employment rates in adults with NF1 are in line with the results of a recently published Finnish study. This study reported a reduced number of working days per year as well as higher rates of unemployment and sickness absence among 742 individuals with NF1 compared to a matched control population . However, both the Finnish study and our research employed a hospital-based design to identify individuals with NF1, which needs to be considered when interpreting the results.
Individuals with NF1 have a higher psychiatric disease burden, mainly due to increased risks for ADHD and autism . In addition, intellectual problems, including a lower intelligence quotient, are a recognized feature of NF1  and have a negative impact on school performance . However, we did not have enough power to assess specific psychiatric disorders and their association with employment status. Furthermore, the high somatic disease burden reported in individuals with NF1 has also been found to be associated with an increased number of sickness absence in Finnish adults with NF1 . In 2019, Fjermestad examined health complaints and work experiences in 142 Norwegian adults with NF1 using a control group and normative data. More adults with NF1 reported work as physically exhausting and had more subjective health complaints. They also more often reported work bullying . This is in line with our results of an increased OR for health-related unemployment at all ages.
A consequence of lower employment rates and being in occupational groups with low salaries is a reduced income. We also found that individuals with NF1 had a reduced disposable income of approximately 10%. Recently, a Finnish population-based study reported that short education, increased morbidity, and reduced labor market participation partly explained a lower income in Finnish individuals with NF1 . Denmark and Finland have similar welfare and health-care systems characterized by high taxes, universal and tax-funded health-care systems, free education, and high social security benefits compared to other countries. Thus, the disposable income is probably even lower in adults with NF1 living outside the Nordic countries. We found that the difference in disposable income between individuals with NF1 and the population comparisons increased for the younger birth cohorts, which is in line with the trend of an increase in income equality reported in the general population of the Nordic countries .
Strengths and limitations
The strengths of the study include the population-based design with information on employment, income, and occupation from high-quality nationwide registries, irrespective of NF1 status, which reduced the risk of information bias from self-reported data and limited loss to follow-up. We were also able to compare the employment history in individuals with NF1 with that of randomly selected population comparisons to represent the Danish background population. The NF1 patients identified in the two Centers for Rare Diseases fulfilled the US National Institutes of Health (NIH) criteria for NF1  or had their diagnosis confirmed by molecular genetic testing. For the patients identified in the Danish Patients Register, we excluded those with clinical and anatomic features of NF2, but some misclassification of the NF1 diagnosis cannot be ruled out. As the individuals in the NF1 cohort had all been hospitalized with or for NF1 or are followed in the Centers for Rare Diseases, we might have missed individuals with NF1 who are less affected by their NF1. However, all Danish inhabitants are encouraged to seek follow-up care at one of the two Centers for Rare Diseases, regardless of the severity of their disease. Follow-up services are provided free of charge, which reduces the risk of selection of participants due to financial constraints. In addition, the process of diagnosing NF1 will result in at least one registration in the RAREDIS Database, even if the patient declines further follow-up at the Center for Rare Diseases. Despite these initiatives, some individuals with mild symptoms or asymptomatic relatives may choose not to undergo clinical investigation for NF1, and consequently, they will not be included in our NF1 cohort. The employment rates and income equality might have been improved if we were able to include study participants not affiliated with the two Centers for Rare Diseases. Thus, our results should not be generalized to adults with NF1 who are only in contact with the primary health care system. Furthermore, we included some who received both benefits within the same calendar year in our definition of unemployment and health-related employment. However, this potential misclassification is expected to be similar for adults with and without NF1, thus biasing towards the null. Another limitation of the study is the inclusion of psychiatric hospital contacts using the Danish Psychiatric Central Research Register, which only holds information on outpatient contacts since 1995. Most patients with depression and anxiety as well as attention deficit/hyperactivity disorder and autism spectrum disorders are not hospitalized. Consequently, we were not able to assess the association between specific psychiatric disorders and employment status. Finally, the study was conducted in Denmark, where social security benefits are higher than in other countries. Thus, the gap in disposable income between adults with and without NF1 might be higher in countries outside Denmark and other Nordic countries.
In conclusion, we found that individuals with NF1 are less employed than the background population, which was mainly due to health-related reasons. Furthermore, this vulnerable patient group is also less likely to have a high-skilled occupation. The disposable income was reduced in adults with NF1, with largest difference in income observed for the younger birth cohorts. However, adults with NF1 were not at increased risk for being in the lowest disposable income group. Employment and work experience is beneficial for health and well-being, also in disabled persons , thus it is important that the health care system, whether privately or publicly funded, will prioritize rehabilitation of patients with NF1 to optimize and ensure their attachment to the labor market. However, also educators of young people with NF1 might use our findings to inform career counselling during the formative years. In general, anticipation guidance for employment should be part of the management of NF1 families.
Availability of data and materials
The data that support the findings of this study were accessed remotely on a secure platform at Statistics Denmark. Data are available from Statistics Denmark, but restrictions apply to the availability of these data, which were used under license for the current study, and so not publicly available. Researchers, who fulfilled the Danish legal requirements for access to personal sensitive data, can apply for access. Please contact daily coordinator of the Danish NF1 Research Program, Line Kenborg (email@example.com), or Principal Investigator, Jeanette Falck Winther (firstname.lastname@example.org) for further questions about data access.
Autism spectrum disorder
International Classification of Occupation
National Institutes of Health
Uusitalo E, Leppavirta J, Koffert A, Suominen S, Vahtera J, Vahlberg T, et al. Incidence and mortality of neurofibromatosis: a total population study in Finland. J Invest Dermatol. 2015;135:904–6.
Bergqvist C, Servy A, Valeyrie-Allanore L, Ferkal S, Combemale P, Wolkenstein P, et al. Neurofibromatosis 1 French national guidelines based on an extensive literature review since 1966. Orphanet J Rare Dis. 2020;15:37.
Jett K, Friedman JM. Clinical and genetic aspects of neurofibromatosis 1. Genet Med. 2010;12:1–11.
Kenborg L, Duun-Henriksen AK, Dalton SO, Bidstrup PE, Doser K, Rugbjerg K, et al. Multisystem burden of neurofibromatosis 1 in Denmark: registry- and population-based rates of hospitalizations over the life span. Genet Med. 2020;22:1069–78.
Kenborg L, Andersen EW, Duun-Henriksen AK, Jepsen JRM, Doser K, Dalton SO, et al. Psychiatric disorders in individuals with neurofibromatosis 1 in Denmark: a nationwide register-based cohort study. Am J Med Genet A. 2021;185:3706–16.
Uusitalo E, Rantanen M, Kallionpaa RA, Poyhonen M, Leppavirta J, Yla-Outinen H, et al. Distinctive cancer associations in patients with neurofibromatosis type 1. J Clin Oncol. 2016;34:1978–86.
Doser K, Andersen EW, Kenborg L, Dalton SO, Jepsen JRM, Kroyer A, et al. Clinical characteristics and quality of life, depression, and anxiety in adults with neurofibromatosis type 1: a nationwide study. Am J Med Genet A. 2020;182:1704–15.
Hamoy-Jimenez G, Kim R, Suppiah S, Zadeh G, Bril V, Barnett C. Quality of life in patients with neurofibromatosis type 1 and 2 in Canada. Neurooncol Adv. 2020;2:i141–9.
Doser K, Kenborg L, Andersen EW, Bidstrup PE, Kroyer A, Hove H, et al. Educational delay and attainment in persons with neurofibromatosis 1 in Denmark. Eur J Hum Genet. 2019;27:857–68.
Johansson E, Kallionpaa RA, Bockerman P, Peltonen J, Peltonen S. A rare disease and education: neurofibromatosis type 1 decreases educational attainment. Clin Genet. 2021;99:529–39.
Cohen JS, Levy HP, Sloan J, Dariotis J, Biesecker BB. Depression among adults with neurofibromatosis type 1: prevalence and impact on quality of life. Clin Genet. 2015;88:425–30.
Page PZ, Page GP, Ecosse E, Korf BR, Leplege A, Wolkenstein P. Impact of neurofibromatosis 1 on Quality of Life: a cross-sectional study of 176 American cases. Am J Med Genet A. 2006;140:1893–8.
Buono FD, Sprong ME, Paul E, Martin S, Larkin K, Garakani A. The mediating effects of quality of life, depression, and generalized anxiety on perceived barriers to employment success for people diagnosed with Neurofibromatosis Type 1. Orphanet J Rare Dis. 2021;16:234.
Kallionpää RA, Johansson E, Böckerman P, Peltonen J, Peltonen S. The contribution of morbidity and unemployment for the reduced labor market participation of individuals with neurofibromatosis 1 in Finland. Eur J Hum Genet. 2023. https://doi.org/10.1038/s41431-023-01426-5.
Johansson E, Kallionpaa RA, Bockerman P, Peltonen S, Peltonen J. The rare disease neurofibromatosis 1 as a source of hereditary economic inequality: evidence from Finland. Genet Med. 2022;24:870–9.
Doser K, Hove H, Østergaard JR, Bidstrup PE, Dalton SO, Handrup MM, et al. Cohort profile: life with neurofibromatosis 1—the Danish NF1 cohort. BMJ Open. 2022;12:e065340.
Schmidt M, Pedersen L, Sorensen HT. The Danish Civil Registration System as a tool in epidemiology. Eur J Epidemiol. 2014;29:541–9.
Petersson F, Baadsgaard M, Thygesen LC. Danish registers on personal labour market affiliation. Scand J Public Health. 2011;39:95–8.
Eurostat. Statistics explained. 2022. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:At-risk-of-poverty_rate
International Labour Office. International Standard Classification of Occupations (ISCO-08). 2022. https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/wcms_172572.pdf
Jensen VM, Rasmussen AW. Danish education registers. Scand J Public Health. 2011;39:91–4.
Gjerstorff ML. The Danish cancer registry. Scand J Public Health. 2011;39:42–5.
Schmidt M, Schmidt SA, Sandegaard JL, Ehrenstein V, Pedersen L, Sorensen HT. The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiol. 2015;7:449–90.
Mors O, Perto GP, Mortensen PB. The Danish psychiatric central research register. Scand J Public Health. 2011;39:54–7.
R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing. 2021. https://www.R-project.org/
OECD. Education at a Glance 2019: OECD Indicator. OECD Publishing; 2019.
Doser K, Belmonte F, Andersen KK, Ostergaard JR, Hove H, Handrup MM, et al. School performance of children with neurofibromatosis 1: a nationwide population-based study. Eur J Hum Genet. 2022;30:1405–12.
Ferner RE, Hughes RA, Weinman J. Intellectual impairment in neurofibromatosis 1. J Neurol Sci. 1996;138:125–33.
Krab LC, Aarsen FK, de Goede-Bolder A, Catsman-Berrevoets CE, Arts WF, Moll HA, et al. Impact of neurofibromatosis type 1 on school performance. J Child Neurol. 2008;23:1002–10.
Fjermestad KW. Health complaints and work experiences among adults with neurofibromatosis 1. Occup Med (Lond). 2019;69:504–10.
Søgaard JE, Roine J, Robling P-O, Pareliussen J, Orsetta C, Lindgren P, et al. Nordic Economic Policy Review 2018: Increasing Income Inequality in the Nordics. TemaNord. 2018.
NIH. National Institutes of Health Consensus Development Conference Statement: neurofibromatosis. Bethesda M, USA, July 13–15, 1987. Arch Neurol. 1988;45:575–578.
Vornholt K, Villotti P, Muschalla B, Bauer J, Colella A, Zijlstra F, et al. Disability and employment—overview and highlights. Eur J Work Organ Psy. 2018;27:40–55.
The study was supported by a grant from the Leo Foundation, under award no. LF-OC-19–000088. The foundation had no role in the design of the study or collection, analysis, or interpretation of data or writing of the manuscript.
Ethics approval and consent to participate
The study is part of the NF1 research program ‘Life with NF1’, which was approved by the Danish Protection Agency (Record 2014-41-2935). With reference to the EU General Data Protection Regulation (GDPR), the research project is listed in a local database (2018-DCRC-0012) at the Danish Cancer Society Research Center. The database provides an overview of ongoing research projects involving personal data under the GDPR and replaces the former notification from the Danish Data Protection Agency. As the individuals were not contacted during data collection, no consent to participate was needed.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Kenborg, L., Frederiksen, L.E., Galanakis, M. et al. Employment, occupation, and income in adults with neurofibromatosis 1 in Denmark: a population- and register-based cohort study. Orphanet J Rare Dis 18, 346 (2023). https://doi.org/10.1186/s13023-023-02965-2