Effects of smartphone diaries and personal dosimeters on behavior in a randomized study of methods to document sunlight exposure

AbstractDosimeters and diaries have previously been used to evaluate sun-related behavior and UV exposure in local samples. However, wearing a dosimeter or filling in a diary may cause a behavioral change. The aim of this study was to examine possible confounding factors for a questionnaire validation study. We examined the effects of wearing dosimeters and filling out diaries, measurement period and recall effect on the sun-related behavior in Denmark in 2012.Our sample included 240 participants eligible by smartphone status and who took a vacation during weeks 26–32 in 2012, randomized by gender, age, education and skin type to six groups: 1) Control+diary, 2) Control, 3) 1-week dosimetry measurement, 4) 1-week dosimetry measurement+diary, 5) 3-week dosimetry measurement and 6) 1-week dosimetry measurement with 4week delayed questionnaire.Correlation coefficients between reported outdoor time and registered outdoor time for groups 3–6 were 0.39, 0.45, 0.43 and 0.09, respectively. Group 6 was the only group not significantly correlated. Questionnaire reported outdoor exposure time was shorter in the dosimeter measurement groups (3–6) than in their respective controls.We showed that using a dosimeter or keeping a diary seems to increase attention towards the behavior examined and therefore may influence this behavior. Receiving the questionnaire with 4week delay had a significant negative influence on correlation and recall of sunburn. When planning future UV behavior questionnaire validations, we suggest to use a 1-week interval for dosimetry measurements, no diary, and to minimize the time from end of measurement to filling out questionnaires

Short and Long Term Variation in Ultraviolet Radiation and Multiple Sclerosis

We examined the role of ultraviolet radiation (UVR) in persons diagnosed with multiple sclerosis (MS) in four different populations, Italians, Danish, White and African Americans. We tested whether variation in UVR as determined by seasons (short term variation) and solar cycles (long term variation) is related to MS birth month and to survival as measured by lifespan. Cases were selected from three Italian MS Case Registries (2,737); from the United States National Center for Health Statistics (56,020); and from the Danish Multiple Sclerosis registry (15,900). Chi-square tests were used to study the pattern of month of birth distribution in patients with MS comparing with general population data. T-tests were employed to study solar cycles association with lifespan. A surplus of births was observed in June for White Americans. A decrease of births in October and November, though not significant after multiple testing correction, was observed in the three populations. In White American with MS overall, males and females, we found that solar cycle is associated with lifespan. We found that season and solar cycles have some role in MS susceptibility and life duration. However, this is an exploratory analysis and further work is needed to discern the association

Mobile Phones and Multiple Sclerosis – A Nationwide Cohort Study in Denmark

We investigated the risk of, prognosis of and symptoms of multiple sclerosis (MS) among all Danish residents who owned a mobile phone subscription before 1996. Using the Danish Multiple Sclerosis Registry and Civil Registration System, study subjects were followed up for MS through 2004. Poisson models were used to calculate incidence rate ratios (IRR, age range: 18–64 years) and mortality rate ratios (MRR, age range: 18+) and to compare presenting symptoms among subscribers and all non-subscribers. A total of 405 971 subscription holders accrued four million years of follow up, with men accounting for 86% of the observation time. Among subscription holding men, the IRR of MS was close to unity, overall as well as 13+ years after first subscription (IRR 1.02, 95% CI: 0.48–2.16). Among women, the IRR was 3.43 (95% CI: 0.86–13.72) 13+ years after first subscription, however, based on only two cases. Presenting symptoms of MS differed between subscribers and non-subscribers (p = 0.03), with slightly increased risk of diplopia in both genders (IRR: 1.38, 95% CI: 1.02–1.86), an increased risk of fatigue among women (IRR: 3.02, 95% CI: 1.45–6.28), and of optic neuritis among men (IRR: 1.38, 95% CI: 1.03–1.86). Overall the MRR was close to one (MRR: 0.91, 95%CI 0.70–1.19) among MS-patients with a subscription and although we observed some increased MRR estimates among women, these were based on small numbers. In conclusion, we found little evidence for a pronounced association between mobile phone use and risk of MS or mortality rate among MS patients. Symptoms of MS differed between subscribers and nonsubscribers for symptoms previously suggested to be associated with mobile phone use. This deserves further attention, as does the increased long-term risk of MS among female subscribers, although small numbers and lack of consistency between genders prevent causal interpretation

Further Studies of the Influence of Apolipoprotein B Alleles on Glucose and Lipid Metabolism

The effect of five genetic polymorphisms in the apolipoprotein B gene on parameters of lipid and glucose metabolism was assessed in 564 Danish mono- and dizygotic twins. Genotypes in apolipoprotein B T71I (ApaLI RFLP), A591V (AluI RFLP), L2712P (MvaI RFLP), R3611Q (MspI RFLP), and E4154K (EcoRI RFLP) were established using polymerase chain reaction and restriction enzyme digests. The effect of genotypes on lipid levels and on glucose, insulin, and HOMA (i.e., calculated parameters of betacell function and insulin resistance) was assessed by multivariate analyses of variance correcting for the effect of gender, age, glucose tolerance status, and body mass index. The effect of genotype on the risk of having impaired glucose metabolism was calculated by logistic regression analysis. Finally, linkage between allele sharing and physiological parameters was calculated by the new Haseman-Elston method. The allele frequencies of all five polymorphisms were similar to those previously reported for Caucasian populations. The L2711P (MvaI RFLP) polymorphism influenced LDL-cholesterol and LDL-to-HDL measures (p = 0.04 and 0.03, respectively), while the R3611Q (MspI RFLP) polymorphism had an effect on the insulin-to-glucose ratio (p = 0.04), and E4154K (EcoRI RFLP) influenced HOMAbeta (p = 0.04). Significant interactions were observed between genotype in T71I (ApaLI RFLP), A591V (AluI RFLP), R3611Q (MspI RFLP), and E4154K (EcoRI RFLP) and glucose tolerance on lipid-related parameters (0.03 \u3c p \u3c 0.004), and between genotype in L2712P (MvaI RFLP) and E4154K (EcoRI RFLP) and gender on lipid and glucose-related parameters (0.02 \u3c p \u3c 0.003). No genotypes were significantly associated with impaired glucose tolerance measured by logistic regression. Likewise, no effect of allele sharing in the five polymorphisms was seen in the dizygotic twins. The effect of the polymorphisms on lipid and glucose parameters could be mediated through linkage to genes with known effect on glucose metabolism or through free fatty acids exerting their effect on glucose metabolism

LNA-enhanced detection of single nucleotide polymorphisms in the apolipoprotein E

Genotyping of single nucleotide polymorphisms (SNPs) in large populations presents a great challenge, especially if the SNPs are embedded in GC-rich regions, such as the codon 112 SNP in the human apolipoprotein E (apoE). In the present study, we have used immobilized locked nucleic acid (LNA) capture probes combined with LNA-enhancer oligonucleotides to obtain efficient and specific interrogation of SNPs in the apoE codons 112 and 158, respectively. The results demonstrate the usefulness of LNA oligonucleotide capture probes combined with LNA enhancers in mismatch discrimination. The assay was applied to a panel of patient samples with simultaneous genotyping of the patients by DNA sequencing. The apoE genotyping assays for the codons 112 and 158 SNPs resulted in unambiguous results for all patient samples, concurring with those obtained by DNA sequencing