scholarly journals Building a semantically annotated corpus for chronic disease complications using two document types

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247319
Author(s):  
Noha Alnazzawi
Keyword(s):  
Risk Factors ◽  
Text Mining ◽  
Disease Risk ◽  
Efficient Solutions ◽  
Prevention Measures ◽  
Annotation Scheme ◽  
Domain Experts ◽  
Patient Health ◽  
Health Related ◽  
Mining Tools

Narrative information in electronic health records (EHRs) contains a wealth of information related to patient health conditions. In addition, people use Twitter to express their experiences regarding personal health issues, such as medical complaints, symptoms, treatments, lifestyle, and other factors. Both genres of text include different types of health-related information concerning disease complications and risk factors. Knowing detailed information about controlling disease risk factors has a great impact on modifying these risks and subsequently preventing disease complications. Text-mining tools provide efficient solutions to extract and integrate vital information related to disease complications hidden in the large volume of the narrative text. However, the development of text-mining tools depends on the availability of an annotated corpus. In response, we have developed the PrevComp corpus, which is annotated with information relevant to the identification of disease complications, underlying risk factors, and prevention measures, in the context of the interaction between hypertension and diabetes. The corpus is unique and novel in terms of the very specific topic in the biomedical domain and as an integration of information from both EHRs and tweets collected from Twitter. The annotation scheme was designed with guidance by a domain expert, and two further domain experts performed the annotation, resulting in a high-quality annotation, with agreement rate F-scores as high as 0.60 and 0.75 for EHRs and tweets, respectively.

scholarly journals Associations between Health-Related Physical Fitness and Cardiovascular Disease Risk Factors in Overweight and Obese University Staff

2020 ◽  
Vol 17 (23) ◽  
pp. 9031
Author(s):  
Jiangang Chen ◽  
Yuan Zhou ◽  
Xinliang Pan ◽  
Xiaolong Li ◽  
Jiamin Long ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Physical Fitness ◽  
Disease Risk ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
University Staff ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Health Related

Purpose: This cross-sectional study examined the associations between health-related physical fitness (HPF) and cardiovascular disease (CVD) risk factors in overweight and obese university staff. Methods: A total of 340 university staff (109 women, mean age 43.1 ± 9.7 years) with overweight (n = 284) and obesity (n = 56) were included. The HPF indicators included skeletal muscle mass index (SMI), body fat percentage (BFP), grip strength (GS), sit-and-reach test (SRT), and vital capacity index (VCI). CVD risk factors were measured, including uric acid (UA), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and glucose (GLU). Results: BFP, SMI, and GS were positively associated with UA level (β = 0.239, β = 0.159, β = 0.139, p < 0.05). BFP was positively associated with TG and TG/HDL-C levels (β = 0.421, β = 0.259, p < 0.05). GS was positively associated with HDL-C level (β = 0.244, p < 0.05). SRT was negatively associated with GLU level (β = −0.130, p < 0.05). Conclusions: In overweight and obese university staff, body composition, muscle strength, and flexibility were associated with CVD risk factors. An HPF test may be a practical nonmedical method to assess CVD risk.

scholarly journals Assessment of Leading Health Educators in Select General Readership Magazines, 2005-2008

2011 ◽  
Vol 9 (2) ◽  
pp. 85-94
Author(s):  
Jeanne Freeman ◽  
Ying Li
Keyword(s):  
Risk Factors ◽  
Mass Media ◽  
Health Indicators ◽  
Overweight And Obesity ◽  
Health Educators ◽  
Prevention Measures ◽  
Sources Of Information ◽  
Public Attention ◽  
Health Related ◽  
General Readership

Mass media can play an important role in setting public agenda and stimulating public attention to issues. Purpose: To assess health-related articles in select mass-circulating general readership magazines, and identify which of the Leading Health Indicators (LHI) each of them addresses. Methods: Four of the top 35 general readership magazines listed in the 2007 Magazine Publishers of America were considered, and included Reader’s Digest, Time, Newsweek, and U.S. News and World Report. ProQuest was searched to obtain all health-related articles (n=55) available in these magazines between July 2005 and August 2008. Articles were assessed in regards to LHIs, sources of information, presentation of statistics and risk factors, and citation of prevention measures. Results: The most frequent LHIs addressed were overweight and obesity (21.4%) and mental health (19%). The most frequent source of information was experts such as MDs and PhDs (92.9%). Incidence and prevalence of LHIs were frequently presented, while risk factors were presented in less than 25% of the articles. Conclusion: Mass media can be a valuable tool for dissemination and stimulation of public attention to high priority public health issues. Enhanced coordination is needed between health educators and members of the press to ensure accurate and universally relevant health information in general readership magazines.

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