0000000000374791

AUTHOR

Edvard Johansson

0000-0002-8823-907x

showing 4 related works from this author

A rare disease and education : Neurofibromatosis type 1 decreases educational attainment

2021

Rare heritable syndromes may affect educational attainment. Here, we study education in neurofibromatosis 1 (NF1) that is associated with multifaceted medical, social and cognitive consequences. Educational attainment in the Finnish population‐based cohort of 1408 individuals with verified NF1 was compared with matched controls using Cox proportional hazards model with delayed entry and competing risk for death. Moreover, models accounting for the effects of cancer at age 15–30 years, parental NF1 and developmental disorders were constructed. Overall, the attainment of secondary education was reduced in individuals with NF1 compared to controls (hazard ratio 0.83, 95%CI 0.74–0.92). History …

0301 basic medicineMale030105 genetics & heredityNeoplasmsneurofibromatosis 1ChildGenetics (clinical)FinlandLearning DisabilitiesHazard ratioCognitionVocational educationChild Preschooleducational attainmentCohortEducational StatusFemaleOriginal ArticleAdultopintomenestyscongenital hereditary and neonatal diseases and abnormalitiesNeurofibromatosis 1Adolescentrare diseaseneurofibromatoosiAffect (psychology)multiorgan syndromeschool performance03 medical and health sciencesRare DiseaseskoulutustasoGeneticsmedicineHumansEducation Graduateharvinaiset tauditNeurofibromatosisneoplasmsProportional Hazards ModelsVocational Educationperinnölliset tauditProportional hazards modelbusiness.industrySiblingsOriginal Articlesmedicine.diseaseEducational attainmenteye diseasesnervous system diseases030104 developmental biologybusinessDemographyFollow-Up Studies
researchProduct

Heritability of Lifetime Income

2013

Using 15 years of data on Finnish twins, we find that 24% (54%) of the variance of women’s (men’s) lifetime income is due to genetic factors and that the contribution of the shared environment is negligible. We link these figures to policy by showing that controlling for education reduces the variance share of genetics by 5-8 percentage points; by demonstrating that income uncertainty has a genetic component half the size of its variance share in lifetime income; and by exploring how the genetic heritability of lifetime income is related to the macroeconomic environment, as measured by GDP growth and the Gini-coefficient of income inequality.

0303 health sciencesLabour economicsShared environmentbusiness.industry05 social sciences1. No povertyDistribution (economics)Percentage pointVariance (accounting)Heritabilityjel:J31jel:J6203 medical and health sciencesEconomic inequalityjel:I24Income distributionPermanent income hypothesis8. Economic growth0502 economics and businessStatisticsEconomics050207 economicsbusinesspermanent income income uncertainty heritability twins genetics030304 developmental biology
researchProduct

Self-reported health versus biomarkers: does unemployment lead to worse health?

2020

Abstract Objectives This paper examines the relationship between unemployment and health using both subjective and biometric information on health status. Study design Longitudinal panel data. Methods We compare the results of regressions of unemployment on self-reported health with those of regressions of unemployment on health as measured with biomarkers (hypertension and levels of blood glucose and C-reactive protein). Using the panel structure of our data, we account for selection bias with respect to unemployment by controlling for health before exposure to unemployment. Results We observe a striking pattern. Using self-reported health as the outcome variable, we find a link between un…

AdultMaleunemploymentmedia_common.quotation_subjectHealth Statusbiomarkkeritkoettu terveys03 medical and health sciencesDiagnostic Self Evaluation0302 clinical medicineOutcome variableEnvironmental healthMedicineHumans030212 general & internal medicineLongitudinal Studiesmedia_commonAgedSelection biasAged 80 and overbusiness.industry030503 health policy & servicesterveydentilaPublic Health Environmental and Occupational Healthbiomarkersself-assessed healthGeneral MedicinetyöttömyysMiddle AgedUnemploymentUnemploymentFemale0305 other medical sciencebusinessBiomarkersPanel dataPublic health
researchProduct

Moving to become healthier?

2020

This paper examines individuals’ health and whether it improves when individuals move from a region with poorer health on average to a region with better health on average. We used data from Finland, which is a country with large regional differences in health behaviours and outcomes. We found no evidence that moving from a less healthy region to a healthier region would have any significant effect on the health of individuals who move compared with the health of other individuals. We also examined the potential heterogeneity in the analysed relationships. We found evidence of a relationship between moving itself and health improvements, but this generally true only for our subsample of ind…

Health (social science)alueelliset erotmigrationArticlekoettu terveys03 medical and health sciences0302 clinical medicineself-reported healthterveysvaikutukset030212 general & internal medicinelcsh:Social sciences (General)Migration030505 public healthlcsh:Public aspects of medicineHealth PolicymaassamuuttoPlace effectsPublic Health Environmental and Occupational Healthplace effectslcsh:RA1-1270muuttoliikeGeographylcsh:H1-99Self-reported health0305 other medical scienceRegional differencesDemography
researchProduct