Entwicklung progressiver Eingabekonzepte zur Datenerfassung auf mobilen Endgeräten

TrackYourTinnitus ist ein universitäres Forschungsprojekt. Es hat zum Ziel, die Symptome eines Tinnitus mittels statistischer Erhebung besser zu verstehen. Die betroffenen Personen geben ihre Daten über die TrackYourTinnitus App ein. Die Dateneingabe stellt aus diesem Grund einen bedeutsamen Teil der Anwendung dar. Eine Neukonzipierung der Dateneingabe des Programms wurde seit der Erstversion nicht veröffentlicht und allgemeine Änderungen an der App wurden zuletzt vor zwei Jahren vorgenommen. 1 Mit einem neuen Konzept könnte die Dateneingabe wesentlich schneller stattfinden. Die Usability und das Eingabekonzept der App sind daher nicht optimal. In dieser Arbeit wird für die TrackYourTinnitus App ein neues Eingabekonzept entworfen. Der Entwurf wird iterativ implementiert. Er umfasst eine nutzerorientierte Gestaltung, eine neue Gestensteuerung, und eine moderne Navigation. Die Implementierung des Entwurfs wird mit Flutter realisiert. Die neue Herangehensweise im Programmierstil des Frameworks und die Plattformunabhängigkeit überzeugten bei der Auswahl des Tools. Das Ergebnis ist eine progressive TrackYourTinnitus App mit einem neuen Eingabekonzept bei dem die Datenerfassung zu einem Benutzererlebnis wird

Neuroretinal Rim Area and Body Mass Index

Purpose: To examine associations between neuroretinal rim area, pressure related factors and anthropometric parameters in a population-based setting. Methods: The population-based cross-sectional Beijing Eye Study 2006 included 3251 subjects with an age of 45+ years. The participants underwent a detailed ophthalmic examination. Exclusion criteria for our study were high myopia of more than-8 diopters and angle-closure glaucoma. Results: The study included 2917 subjects with a mean age of 59.869.8 years (range: 45–89 years). Mean neuroretinal rim area was 1.9760.38 mm 2, mean intraocular pressure 15.663.0 mmHg, mean diastolic blood pressure 79.065.9 mm Hg, mean systolic blood pressure 133.5611.1 mmHg, and mean body mass index was 25.563.7. In univariate analysis, neuroretinal rim area was significantly associated with optic disc size, open-angle glaucoma, refractive error, age and gender. After adjustment for these parameters in a multivariate analysis, a larger neuroretinal rim area was significantly correlated with a higher body mass index (P,0.001), in addition to be associated with a lower intraocular pressure (P = 0.004), lower mean blood pressure (P = 0.02), and higher ocular perfusion pressure. Conclusions: In a general population, neuroretinal rim as equivalent of the optic nerve fibers is related to a higher body mass index, after adjustment for disc area, refractive error, age, gender, open-angle glaucoma, intraocular pressure, blood pressure and ocular perfusion pressure. Since body mass index is associated with cerebrospinal fluid pressure, the latter ma

Scleral Cross Section Area and Volume and Axial Length

Purpose To examine whether the scleral cross sectional area and estimated scleral volume are associated with a longer axial length in human eyes. Methods Histologic anterior-posterior sections running through the pupil and the optic nerve head were examined. Using a light microscope, we measured the thickness of the sclera at the limbus, ora serrata, equator, midpoint between equator and posterior pole (MPEPP), peripapillary region and posterior pole. Additionally we determined the length and the cross section area of the sclera. Results The histomorphometric study included 214 human globes of 214 subjects (mean age: 62.5±13.9 years) (147 eyes enucleated due to malignant choroidal melanoma or due to other non-glaucomatous reasons; 67 eyes enucleated due to secondary angle-closure glaucoma). Mean axial length was 25.1±1.8 mm (median: 24.0 mm; range: 20–35 mm). Scleral thickness measurements decreased with increasing axial length for values taken at the equator (P = 0.008; correlation coefficient r = −0.18), MPEPP (P<0.001;r:−0.47), optic nerve head border (P<0.001;r = −0.47) and posterior pole (P<0.001;r = −0.54). Scleral cross section area decreased significantly with increasing axial lengths for the regions at or behind the equator (P = 0.002;r = −0.21), at or behind the MPEPP (P = 0.001;r = −0.25), and at or behind the optic nerve head border (P = 0.001;r = −0.24). Scleral volume measurements were not significantly associated with axial length Conclusions Despite an associated increase in surface area, eyes with longer axial length do not have an increase in scleral volume. It may point against a scleral volume enlargement to play a role in the process of axial elongation

Cognitive impairment in the population-based ural very old study

BackgroundDespite its marked importance in public health, the prevalence of cognitive impairment (CI) and its associated factors have only rarely been examined in old populations in general or in Russia at all.ObjectiveTo assess CI prevalence and its determinants in a very elderly population in Russia.Materials and methodsThe population-based Ural Very Old Study, conducted in rural and urban region in Bashkortostan/Russia, included 1,526 (81.1%) out of 1,882 eligible individuals aged 85+ years. A series of medical examinations including the Mini-Mental State Examination (MMSE) for the assessment of CI was performed.ResultsMini-Mental State Examination data were available for 1,442 (94.5%) individuals (mean age: 88.3 ± 2.9 years; range: 85–103 years). The median MMSE score was 24 (interquartile range: 19, 27). Prevalence of any CI (MMSE score &lt; 24 points) was 701/1,442 [48.6%; 95% confidence interval (CI): 46.0, 51.2]. Prevalence of mild, moderate and severe CI (MMSE score 19–23 points, 10–18 points, and ≤9 points, respectively) was 357/1,442 (24.8%; 95% CI: 22.5, 27.0), 246/1,442 (17.1%; 95% CI: 15.1, 19.0), and 98/1,442 (6.8%; 95% CI: 5.5, 8.1), resp. A lower MMSE score correlated (regression coefficient r2: 0.31) with older age (beta: −0.13; P &lt; 0.001), rural region of habitation (beta: 0.15; P &lt; 0.001), lower level of education (beta: 0.19; P &lt; 0.001), higher depression score (beta: −0.33; P &lt; 0.001) (or alternatively, higher prevalence of hearing loss (beta: −0.10; P = 0.001), worse visual acuity (beta: −0.10; P = 0.001), and lower physical activity (beta: 0.06; P = 0.04).ConclusionIn this elderly study population from rural and urban Russia, prevalence of any, mild, moderate and severe CI was 48.6, 24.8, 17.1, and 6.8%, resp. Besides medical and lifestyle factors, vision and hearing impairment were major factors associated with CI