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Specialty: Epidemiology
Source: Journal of Epidemiology and Community Health
Condition: Arthritis

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Total 3 results found since Jan 2013.

Agreement between self-reported diseases from health surveys and national health registry data: a Danish nationwide study
Conclusion Overall, self-reported data were accurate in identifying individuals without the specific disease (ie, specificity and NPV). However, sensitivity, PPV and kappa varied greatly between diseases. These findings should be considered when interpreting similar results from surveys.
Source: Journal of Epidemiology and Community Health - January 10, 2023 Category: Epidemiology Authors: Jensen, H. A. R., Lau, C. J., Davidsen, M., Ekholm, O., Christensen, A. I. Tags: Original research Source Type: research

Self-report of chronic diseases in old-aged individuals: extent of agreement with general practitioner medical records in the German AugUR study
Conclusion Self-reports may be an effective tool to assess diabetes and cancer in observational studies in the old and very old aged. In contrast, self-reports on heart failure, musculoskeletal, kidney or lung diseases may be substantially imprecise.
Source: Journal of Epidemiology and Community Health - October 10, 2022 Category: Epidemiology Authors: Steinkirchner, A. B., Zimmermann, M. E., Donhauser, F. J., Dietl, A., Brandl, C., Koller, M., Loss, J., Heid, I. M., Stark, K. J. Tags: Open access Original research Source Type: research

Developmental trajectories of body mass index throughout adulthood: evidence from the national population health survey
This study will apply group-based trajectory modeling to map adult body mass trajectories with an age axis spanning 18 to 64 years, based on the longitudinal data from Statistics Canada's National Population Health Survey 1994 (n=17276). Group-based trajectory modeling is a powerful semi-parametric statistical approach that captures information about inter-individual differences within a large population. Risk factors (time-instable covariates) including gender and age cohort, and time-varying covariates such as diet, daily activities, education level, income, lifestyle (sleep, smoking, and alcohol), stress, and mental hea...
Source: Journal of Epidemiology and Community Health - September 7, 2013 Category: Epidemiology Authors: Wang, M. Tags: Poster presentations Source Type: research