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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

Prevalence of and Changes in Tooth Loss Among Adults Aged ≥50 Years with Selected Chronic Conditions - United States, 1999-2004 and 2011-2016.
Abstract Extensive tooth loss can lead to poor diet resulting in weight loss or obesity (1). It can also detract from physical appearance and impede speech, factors that can restrict social contact, inhibit intimacy, and lower self-esteem (1). Chronic medical conditions and oral conditions share common risk factors (2). Persons with chronic conditions are more likely to have untreated dental disease, which can result in tooth loss. Three measures of tooth loss during 1999-2004 and 2011-2016 were estimated by comparing data from the National Health and Nutrition Examination Survey (NHANES) for each period among adu...
Source: MMWR Morb Mortal Wkl... - May 28, 2020 Category: Epidemiology Authors: Parker ML, Thornton-Evans G, Wei L, Griffin SO Tags: MMWR Morb Mortal Wkly Rep Source Type: research

Prevalence of chronic non-communicable diseases and association with self-rated health: National Health Survey, 2013
Conclusions: Because these diseases are associated with modifiable risk factors, the prevention with population focus is the best strategy to reduce the burden of these diseases.
Source: Revista Brasileira de Epidemiologia - March 19, 2016 Category: Epidemiology Source Type: research

Cross-country variation in additive effects of socio-economics, health behaviors, and comorbidities on subjective health of patients with diabetes
Conclusion: Countries show different profiles of social and behavioral determinants of subjective health among patients with diabetes. Our study suggests that universal programs that assume that determinants of well-being are similar across different countries may be over-simplistic. Thus instead of universal programs that use one protocol for health promotion of patients in all countries, locally designed interventions should be implemented in each country.
Source: Epidemiologic Perspectives and Innovations - February 21, 2014 Category: Epidemiology Authors: Shervin Assari 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