Literature DB >> 25293885

Test-retest reliability of an infectious disease questionnaire and evaluation of self-assessed vulnerability to infections : findings of Pretest 2 of the German National Cohort.

S Castell1, M K Akmatov, N Obi, D Flesh-Janys, A Nieters, Y Kemmling, F Pessler, G Krause.   

Abstract

INTRODUCTION/
OBJECTIVES: Large scale population-based studies focusing on infectious diseases are scarce. This may be explained by methodological obstacles concerning ascertainment of data on infectious diseases requiring, e.g. collection of data on relatively short-termed symptoms and/or collection of biosamples for pathogen identification during a narrow time window. In the German National Cohort (GNC), a novel self-administered questionnaire will be used in addition to biosampling to collect data on selected infectious diseases and symptoms. The aim of this study was to evaluate in Pretest 2 of the GNC newly added items on self-assessed vulnerability to several infectious diseases and to assess test-retest reliability of the questionnaire.
METHODS: The study was conducted in two study centres (Hamburg and Hanover) during Pretest 2 of the GNC. A self-administered paper questionnaire was applied. In Hamburg, participants were asked to fill in the questionnaire during their regular visit at the study centre. For test-retest reliability, participants in Hanover filled in the same questionnaire at home twice. To evaluate agreement, item-related percentage agreement and kappa (κ) were calculated. In addition, we computed Bennet's S and Krippendorf's alpha (α). Items on self-assessed vulnerability to infections were evaluated by comparing them with the corresponding self-reported frequency of infections. An explanatory factor analysis was applied to construct the scores of self-reported infection frequency and self-assessed vulnerability to infections.
RESULTS: The evaluation of the internal consistency of the five-item instrument of self-assessed vulnerability to infections resulted in a Cronbach's α of 0.78. The factor analysis yielded evidence of one factor. The factor was divided into three groups (lowest quintile classified as "less prone to infections" compared to peers; second, middle and fourth quintiles classified as "similarly prone to infections" and highest quintile classified as "more prone to infections"). Participants classified as "less prone to infections" reported fewer infections than participants classified as "more prone to infections". Spearman's correlation of the two scores (self-reported infection frequency and self-assessed vulnerability to infection) was 0.50 (p < 0.0001). For quantifying reliability, 88 participants with a median time of 8 days between filling in both questionnaires could be included in the analysis; for items sensitive to disease occurrence between both questionnaires only participants with no relevant disease in this time interval were included (n = 75). The weighted κ ranged between 0.65 and 0.87 for the items on infectious disease frequency in the last 12 months, for items on symptom frequency in the past 12 months between 0.77 and 0.90, and for items on vulnerability compared to peers between 0.68 and 0.76.
CONCLUSION: A five-item instrument on self-assessed vulnerability to infections seems to be promising, but requires further evaluation. Overall, the questionnaire on self-reported infectious diseases used in Pretest 2 of the GNC is a moderately reliable instrument and, thus, can be applied in future studies on infectious diseases.

Entities:  

Mesh:

Year:  2014        PMID: 25293885      PMCID: PMC4210725          DOI: 10.1007/s00103-014-2045-x

Source DB:  PubMed          Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz        ISSN: 1436-9990            Impact factor:   1.513


  12 in total

1.  Self-assessed health among indigenous Australians: how valid is a global question?

Authors:  B Sibthorpe; I Anderson; J Cunningham
Journal:  Am J Public Health       Date:  2001-10       Impact factor: 9.308

Review 2.  The kappa statistic in reliability studies: use, interpretation, and sample size requirements.

Authors:  Julius Sim; Chris C Wright
Journal:  Phys Ther       Date:  2005-03

3.  [A basic set of indicators for mapping migrant status. Recommendations for epidemiological practice].

Authors:  L Schenk; A-M Bau; T Borde; J Butler; T Lampert; H Neuhauser; O Razum; C Weilandt
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2006-09       Impact factor: 1.513

4.  Self rated health and mortality: a long term prospective study in eastern Finland.

Authors:  S Heistaro; P Jousilahti; E Lahelma; E Vartiainen; P Puska
Journal:  J Epidemiol Community Health       Date:  2001-04       Impact factor: 3.710

5.  [The German National Cohort].

Authors:  H-E Wichmann; R Kaaks; W Hoffmann; K-H Jöckel; K H Greiser; J Linseisen
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2012-06       Impact factor: 1.513

6.  Trends in socioeconomic inequalities in self-assessed health in 10 European countries.

Authors:  Anton E Kunst; Vivian Bos; Eero Lahelma; Mel Bartley; Inge Lissau; Enrique Regidor; Andreas Mielck; Mario Cardano; Jetty A A Dalstra; José J M Geurts; Uwe Helmert; Carin Lennartsson; Jorun Ramm; Teresa Spadea; Willibald J Stronegger; Johan P Mackenbach
Journal:  Int J Epidemiol       Date:  2004-11-24       Impact factor: 7.196

7.  Self-rated health, subjective social status, and middle-aged mortality in a changing society.

Authors:  Maria Kopp; Arpád Skrabski; János Réthelyi; Ichiro Kawachi; Nancy E Adler
Journal:  Behav Med       Date:  2004       Impact factor: 3.104

8.  Predicting mortality and healthcare utilization with a single question.

Authors:  Karen B DeSalvo; Vincent S Fan; Mary B McDonell; Stephan D Fihn
Journal:  Health Serv Res       Date:  2005-08       Impact factor: 3.402

9.  Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial.

Authors:  Kevin A Hallgren
Journal:  Tutor Quant Methods Psychol       Date:  2012

10.  Definitions and standardization of a new grading scheme for eyelid contour abnormalities after trichiasis surgery.

Authors:  Emily W Gower; Sheila K West; Sandra D Cassard; Beatriz E Munoz; Jennifer C Harding; Shannath L Merbs
Journal:  PLoS Negl Trop Dis       Date:  2012-06-26
View more
  3 in total

1.  Trait body shame predicts health outcomes in college women: A longitudinal investigation.

Authors:  Jean M Lamont
Journal:  J Behav Med       Date:  2015-07-23

2.  Establishment of a cohort for deep phenotyping of the immune response to influenza vaccination among elderly individuals recruited from the general population.

Authors:  Manas K Akmatov; Peggy Riese; Marcus May; Leonhard Jentsch; Malik W Ahmed; Damaris Werner; Anja Rösel; Megan Tyler; Kevin Pessler; Jana Prokein; Inga Bernemann; Norman Klopp; Blair Prochnow; Stephanie Trittel; Aravind Tallam; Thomas Illig; Christoph Schindler; Carlos A Guzmán; Frank Pessler
Journal:  Hum Vaccin Immunother       Date:  2017-04-10       Impact factor: 3.452

3.  [Self-reported infections in the German National Cohort (GNC) in the context of the current research landscape].

Authors:  Max J Hassenstein; Ghazal Aarabi; Peter Ahnert; Heiko Becher; Claus-Werner Franzke; Julia Fricke; Gérard Krause; Stephan Glöckner; Cornelia Gottschick; André Karch; Yvonne Kemmling; Tobias Kerrinnes; Berit Lange; Rafael Mikolajczyk; Alexandra Nieters; Jördis J Ott; Wolfgang Ahrens; Klaus Berger; Claudia Meinke-Franze; Sylvia Gastell; Kathrin Günther; Karin Halina Greiser; Bernd Holleczek; Johannes Horn; Lina Jaeschke; Annika Jagodzinski; Lina Jansen; Carmen Jochem; Karl-Heinz Jöckel; Rudolf Kaaks; Lilian Krist; Oliver Kuß; Susan Langer; Nicole Legath; Michael Leitzmann; Wolfgang Lieb; Markus Loeffler; Nina Mangold; Karin B Michels; Christa Meisinger; Nadia Obi; Tobias Pischon; Tamara Schikowski; Sabine Schipf; Matthias B Schulze; Andreas Stang; Sabina Waniek; Kerstin Wirkner; Stefan N Willich; Stefanie Castell
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2020-04       Impact factor: 1.513

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.