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- Grahn, Petra, et al.
(författare)
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Early disc degeneration in radiotherapy-treated childhood brain tumor survivors
- 2023
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Ingår i: BMC Musculoskeletal Disorders. - : BioMed Central (BMC). - 1471-2474. ; 24:1
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundChildhood brain tumor (BT) survivors have an increased risk of treatment-related late effects, which can reduce health-related quality of life and increase morbidity. This study aimed to investigate lumbar disc degeneration in magnetic resonance imaging (MRI) in adult survivors of radiotherapy-treated childhood BT compared to age and sex-matched population controls.MethodsIn this cross-sectional comparative study, 127 survivors were identified from hospital registries. After a mean follow-up of 20.7 years (range 5-33.1), 67 survivors (mean age 28.4, range 16.2-43.5) were investigated with MRI and compared to 75 sex-matched population-based controls. Evaluated MRI phenotypes included Pfirrmann grading, , intervertebral disc protrusions, extrusions, and high-intensity-zone-lesions (HIZ). Groups were also compared for known risk factors of lumbar intervertebral disc (IVD) degeneration.ResultsChildhood BT survivors had higher Pfirrmann grades than controls at all lumbar levels (all p < 0.001). Lumbar disc protrusions at L4-5 (p = 0.02) and extrusions at L3-4 (p = 0.04), L4-5 (p = 0.004), and L5-S1 (p = 0.01) were significantly more common in the BT group compared to the control. The survivor cohort also had significantly more HIZ-lesons than the controls (n=13 and n=1, p=0.003). Age at diagnosis was associated with lower degree of IVD degeneration (p < 0.01). Blood pressure correlated with IVD degeneration (P < 0.05).ConclusionsSigns of early disc degeneration related to tumor treatment can be seen in the IVDs of survivors. Disc degeneration was more severe in children treated in adolescence.
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| 2. |
- Halonen, Jaana I, et al.
(författare)
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Socioeconomic and health-related childhood and adolescence predictors of entry into paid employment
- 2019
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Ingår i: European Journal of Public Health. - : Oxford University Press (OUP). - 1101-1262 .- 1464-360X. ; 29:3, s. 555-561
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundMost studies on prolonging working careers have explored later career, while less is known about social and particularly health-related determinants of entry into labour market. We examined social and health-related factors from childhood and adolescence as predictors of age at entry into paid employment and early occupational class, and whether own education moderates these associations.MethodsThe Northern Finland Birth Cohort 1986 was followed from birth until the end of 2015. We included 8542 participants (52% male) who had had a minimum of 6-month employment that was defined by registered earning periods. As socioeconomic predictors, we examined low parental education at age 7 and low household income at age 16. Behaviour- and health-related factors at age 16 included smoking, alcohol use, physical inactivity, overweight, length of sleep and not having breakfast, while mental health problems included symptoms of anxiety and depression, attention problems and social problems. The analyses for significant predictors were further stratified by register-based level of completed own education by age 28–29 (low/high).ResultsAfter adjustments, low parental education, smoking and having been drunk were significant predictors of early entry into paid employment (≤18 vs. ≥24 years), especially among those who later obtained high education. Low parental education and smoking were predictors of low or non-specified (vs. high) occupational class in the first job. Mental health problems were not associated with either outcome.ConclusionsSocioeconomic background and unhealthy lifestyle contribute to early entry into the labour market and low occupational status in the first job.
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| 3. |
- Sallinen, Riitta J., et al.
(författare)
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Genetic Risk Score for Serum 25-Hydroxyvitamin D Concentration Helps to Guide Personalized Vitamin D Supplementation in Healthy Finnish Adults
- 2021
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Ingår i: Journal of Nutrition. - : Elsevier BV. - 0022-3166 .- 1541-6100. ; 151:2, s. 281-292
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Tidskriftsartikel (refereegranskat)abstract
- Background: Genetic factors modify serum 25-hydroxyvitamin D [25(OH)D] concentration and can affect the optimal intake of vitamin D.Objectives: We aimed to personalize vitamin D supplementation by applying knowledge of genetic factors affecting serum 25(OH)D concentration.Methods: We performed a genome-wide association study of serum 25(OH)D concentration in the Finnish Health 2011 cohort (n = 3339) using linear regression and applied the results to develop a population-matched genetic risk score (GRS) for serum 25(OH)D. This GRS was used to tailor vitamin D supplementation for 96 participants of a longitudinal Digital Health Revolution (DHR) Study. The GRS, serum 25(OH)D concentrations, and personalized supplementation and dietary advice were electronically returned to participants. Serum 25(OH)D concentrations were assessed using immunoassays and vitamin D intake using FFQs. In data analyses, cross-sectional and repeated-measures statistical tests and models were applied as described in detail elsewhere.Results: GC vitamin D-binding protein and cytochrome P450 family 2 subfamily R polypeptide 1 genes showed genome-wide significant associations with serum 25(OH)D concentration. One single nucleotide polymorphism from each locus (rs4588 and rs10741657) was used to develop the GRS. After returning data to the DHR Study participants, daily vitamin D supplement users increased from 32.6% to 60.2% (P = 6.5 x 10(-6)) and serum 25(OH)D concentration from 64.4 +/- 20.9 nmol/L to 68.5 +/- 19.2 nmol/L (P = 0.006) between August and November. Notably, the difference in serum 25(OH)D concentrations between participants with no risk alleles and those with 3 or 4 risk alleles decreased from 20.7 nmol/L to 8.0 nmol/L (P = 0.0063).Conclusions: We developed and applied a population-matched GRS to identify individuals genetically predisposed to low serum 25(OH)D concentration. We show how the electronic return of individual genetic risk, serum 25(OH)D concentrations, and factors affecting vitamin D status can be used to tailor vitamin D supplementation. This model could be applied to other populations and countries.
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