scholarly journals Reliability and Validity of the State-Trait Hopelessness Scale in a Primarily Rural Population of Adults With Ischemic Heart Disease in the US Great Plains

2022 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Susan L. Dunn ◽  
Deb Bomgaars ◽  
Kristin M. Van De Griend ◽  
Gwenneth A. Jensen ◽  
Lynn L. White ◽  
...  
2020 ◽  
Vol 26 (2-3) ◽  
pp. 68-74
Author(s):  
V.V. Ruden' ◽  
◽  
V.I. Diachyschyn ◽  

Aim. A substantiation by the types of morbidity of biostatistic tendencies in the development of hypertonic disease and its involvement in the existing pathologies of the class of diseases of the circulatory system among the population of Ukraine. Material and Methods. An epidemiological, cross-sectional, continuous, prospective study was conducted with the use of statistical data of the Health Statistics Center of the Ministry of Health of Ukraine and the State Statistics Service of Ukraine (1993 and 2017), summarizing and processing them in spreadsheets of Microsoft Office Excel 2016 using retrospective, biostatistical and abstract research methods, as well as methods of copying, deductive awareness, structural-logical analysis and systematic principles. Results and Discussion. The results clearly indicated a steady increase in all forms of hypertonic disease among the population of Ukraine over the studied time period by Рincr=119.8%, when in 2017 this pathology affected ngen=10,388,376 persons, with the prevalence indicator Рgen= 29,844.1о/оооо, which testified that every fourth citizen had a case of hypertonic disease, whereas hypertonic disease accompanied ischemic heart disease in Рpr=40.4% of cases, - cerebrovascular disease in Рpr=23.1% of cases and - strokes in Рpr= 35.8% of cases. Conclusions. It is established that hypertonic disease is one of the most prevalent diseases of the cardiovascular system and has a direct negative impact on of socio-economic well-being and resource provision for society and, based on achievements in etiopathology, diagnostics and treatment, requires the highest governmental structures of the state to undertake prompt and adequate managerial preventive actions aimed at strengthening the health of patients with hypertonic disease and of changing the lifestyle of the population in consideration of established risk factors in the occurrence of this pathology. Keywords: circulatory system diseases, hypertonic disease, general and primary morbidity, tendencies, involvement, ischemic heart disease, cerebrovascular disease, stroke


2005 ◽  
Vol 00 (01) ◽  
pp. 35 ◽  
Author(s):  
Naranjan S Dhalla

Diabetes is one of several risk factors for ischemic heart disease and is a major killer.1–3This complex disease affected around 171 million people all over the world in 2000 and is estimated to affect 366 million people by 2030. Of these, about 13 million cases have been diagnosed with diabetes in the US, and another 5.2 million people are unaware that they have the disease.


2006 ◽  
Vol 36 (2) ◽  
pp. 107-113 ◽  
Author(s):  
Yu. I. Buziashvili ◽  
S. G. Ambat'ello ◽  
Yu. A. Aleksakhina ◽  
M. V. Pashchenkov

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243558
Author(s):  
Marcela Bergamini ◽  
Pedro Henrique Iora ◽  
Thiago Augusto Hernandes Rocha ◽  
Yolande Pokam Tchuisseu ◽  
Amanda de Carvalho Dutra ◽  
...  

Cardiovascular diseases are the leading cause of deaths globally. Machine learning studies predicting mortality rates for ischemic heart disease (IHD) at the municipal level are very limited. The goal of this paper was to create and validate a Heart Health Care Index (HHCI) to predict risk of IHD based on location and risk factors. Secondary data, geographical information system (GIS) and machine learning were used to validate the HHCI and stratify the IHD municipality risk in the state of Paraná. A positive spatial autocorrelation was found (Moran’s I = 0.6472, p-value = 0.001), showing clusters of high IHD mortality. The Support Vector Machine, which had an RMSE of 0.789 and error proportion close to one (0.867), was the best for prediction among eight machine learning algorithms after validation. In the north and northwest regions of the state, HHCI was low and mortality clusters patterns were high. By creating an HHCI through ML, we can predict IHD mortality rate at municipal level, identifying predictive characteristics that impact health conditions of these localities’ guided health management decisions for improvements for IHD within the emergency care network in the state of Paraná.


2021 ◽  
Vol 10 (17) ◽  
Author(s):  
Deb Bomgaars ◽  
Gwenneth A. Jensen ◽  
Lynn L. White ◽  
Kristin M. Van De Griend ◽  
Angela K. Visser ◽  
...  

Background Rurality and hopelessness are each associated with increased mortality in adults with ischemic heart disease (IHD), yet there is no known research examining rurality as a risk factor for hopelessness in patients with IHD. This study evaluated rurality as a risk factor for state and trait hopelessness in adults hospitalized with IHD in samples drawn from the Great Lakes and Great Plains regions of the United States. Methods and Results A descriptive cross‐sectional design was used. Data were collected from 628 patients hospitalized for IHD in the Great Lakes (n=516) and Great Plains (n=112). Rural–Urban Commuting Area codes were used to stratify study participants by level of rurality. Levels of state hopelessness (measured by the State‐Trait Hopelessness Scale) were higher in rural patients (58.8% versus 48.8%; odds ratio [OR], 1.50; 95% CI, 1.03–2.18), a difference that remained statistically significant after adjusting for demographics, depression severity (measured by the Patient Health Questionnaire–8), and physical functioning (measured by the Duke Activity Status Index; OR, 1.59; 95% CI, 1.06–2.40; P =0.026). There was evidence of an interaction between marital status and rurality on state hopelessness after accounting for covariates ( P =0.02). Nonmarried individuals had an increased prevalence of state hopelessness (nonmarried 72.0% versus married 52.0%) in rural areas ( P =0.03). Conclusions Rural patients with IHD, particularly those who are nonmarried, may be at higher risk for state hopelessness compared with patients with IHD living in urban settings. Understanding rurality differences is important in identifying subgroups most at risk for hopelessness. Registration URL: http://www.clinicaltrials.gov . Unique identifier: NCT04498975.


1997 ◽  
Vol 134 (1-2) ◽  
pp. 184
Author(s):  
I.V. Medvedeva ◽  
S.I. Matayev ◽  
E.F. Dorodneva ◽  
E.Z. Kogan ◽  
S.Yu. Shevchuk

Sign in / Sign up

Export Citation Format

Share Document