• 제목/요약/키워드: Heart Disease Risk Factors

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성인의 좌심방과 좌심실 크기변화에 미치는 영향 요인 분석 (Analysis of Factors Influencing Changes in Left Atrium and Left Ventricle Size in Adults)

  • 김선화;양성희
    • 대한방사선기술학회지:방사선기술과학
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    • 제47권2호
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    • pp.125-135
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    • 2024
  • This study analysed the factors that predict and influence heart disease through key indicators related to changes in left atrial and left ventricular size. Measurements recommended by the American Society of Echocardiography were used, and the influence of variables was assessed using multiple regression analysis. The results showed that left atrial volume index(LAVI) was significantly different by age, obesity, diabetes, hypertension, dyslipidaemia, and left ventricular relaxation dysfunction(p<0.05). Left ventricular mass index(LVMI) was significantly different according to age, body mass index, hypertension, diabetes, dyslipidaemia, and left ventricular relaxation dysfunction(p<0.05). Increases in LVMI and relative ventricular wall thickness(RWT) were associated with changes in LAVI(p<0.05). Age, systolic blood pressure, increased LAVI, and RWT influenced changes in LVMI, and left ventricular dysfunction was analysed as an influencing factor for both changes in LAVI and LVMI. Therefore, changes in left atrial and left ventricular size are indicators for early diagnosis and prevention of heart disease, and it is necessary to carefully observe structural changes in the heart and actively manage risk factors for the prevention and management of heart disease.

Framingham Risk Score에 의한 한국 성인 남성의 영양소 및 식품 섭취의 다양성 평가 (Evaluation of Nutrient Intake and Food Variety in Korean Male Adults according to Framingham Risk Score)

  • 최미경;배윤정
    • 한국식품영양학회지
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    • 제27권3호
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    • pp.484-494
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    • 2014
  • The purpose of this study was to evaluate dietary intake according to the risk of coronary heart disease (less than 10% = low-risk group; 10~20% = middle-risk group) based on Framingham risk score (FRS), on 122 male adult subjects. The body weight and body mass index were not significantly different between the groups, while height of the low-risk group was shown to be significantly high compared to that of the middle-risk group. The daily energy intake was shown to be significantly high in the low-risk group with 1,910.88 kcal, compared to 1,606.63 kcal of the middle-risk group. As a result of analyzing nutrient intake per 1,000 kcal of energy, while the low-risk group had significantly high intake of animal protein, fat, and animal fat compared to the middle-risk group, the intake of plant protein, carbohydrate, and plant iron was found to be significantly low. The daily food intake was shown to be significantly high in the low-risk group (1,445.16 g), compared to the middle-risk group (1,075.12 g). The low-risk group was found to have significantly high intake of sugars, eggs, and beverages compared to the middle-risk group, while mushrooms intake was significantly high in the middle-risk group. Dietary variety score (DVS) was significantly high in the low-risk group with 26.42, compared to 22.66 of the middle-risk group. Dietary diversity score (DDS) was indicated to be significantly high in the low-risk group with 3.70, compared to 3.27 of the middle-risk group. The low-risk group was indicated to have significantly high score in DDS of dairy products and fruit group, compared to the middle-risk group. In the correlation between diversity index of food intake (DVS and DDS) and FRS, DDS was shown to have significantly negatively correlation with FRS after adjusting for confounding factors. To sum up these results, the adult males with low-risk of coronary heart disease had more various consumptions of fruits and milk, compared to the subjects with the middle-risk. The proportion of consuming major food groups such as cereals, meat group, milk, fruits, and vegetables more than a fixed quantity was indicated to be high. Accordingly, dietary habit for intake of various food seems to be necessary, to prevent coronary heart disease.

혈청 총콜레스테롤, 공복시 혈당, 혈압의 분포와 심전도상 허혈성 심질환과의 관련성 (Analysis on the Relationships among the Total Cholesterol, Fasting Blood Sugar, Hypertension and Ischemic Heart Disease on EKG Findings)

  • 김수근;노상철;손정일;최보율
    • Journal of Preventive Medicine and Public Health
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    • 제29권4호
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    • pp.705-719
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    • 1996
  • Since the 1960s, Korea has achieved rapid economic growth, longer life expectancy, accelerated urbanization and a westenization of diet. Cardiovascular disease has become the leading cause of death; however the prevalence of ischemic heart disease(IHD) remains low. A cross-sectional multiphasic screening service for 18,426 persons aged $30\sim64$ years in a Medical Aid Program in Kyonggi-do Province was conducted from 1991 to 1993. Total cholesterol(TC), fasting blood glucose(FBG), blood pressure(BP), and electrocardiographic(EKG) data were collected. The result as follows ; 1. On the EKG findings, the age-adjusted prevalence of myocardial ischemia and myocardial infarction was 1.45% in men and 2.06% in women. 2. The mean blood pressure was 122.9/78.8mmHg. The age-adjusted prevalence of hypertension was 11.05% in men and 9.02% in women. The prevalence of hypertension showed increasing tendency according to age increase. In all age group, the prevalence of hypertension was higher in men than women. 3. The mean total cholesterol level was 184.4mg/dl in men and 189.2mg/dl in women. The age-adjusted prevalence of hypercholesterolemia was 4.88% in men and 5.67% in women. The total cholesterol level showed increasing tendency according to age increase, except $55\sim64$ age group in men. 4. The prevalence of hyperglycemia is 5.8%. The age-adjusted prevalence of hyperglycemia is 6.72% in men and 4.50% in women. The prevalence of hyperglycemia showed increasing tendency according to age increase. 5. On the EKG findings, the prevalence of myocardial ischemia and myocardial infarction was higher in hypertension than normal, in all age group of men and women less than 40 years-old. Only in women more t]fan 40 years-old, the prevalence of myocardial ischemia and myocardial infarction was higher in hypercholesterolemia and hyperglycemia. Nevertheless there is not statistical association between ischemia heart disease and previous risk factors in other age group, the prevalence of myocardial ischemia and myocardial infarction was higher in hypertension, hypercholesterolemia and hyperglycemia than normal. The result of this study suggest that relationships between major risk factor of ischemic heart disease and ischemic heart disease is similar to existing theory.

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사상체질에 따른 뇌혈관질환 위험인자의 분포에 대한 비교연구 (Study on the Risk Factors of Cerebrovascular Disease between Sasang Constitutions)

  • 김도형;윤성우;고창남;김승은
    • 대한한방내과학회지
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    • 제22권3호
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    • pp.379-382
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    • 2001
  • Objectives: Many studies have been reported about Sasang constitutional distribution of cerebrovascular disease(CVD) patients. But there has been little study about the risk factors of normal persons between Sasang constitutions. So we studied to evaluate the risk of CVD between Sasang constitutions. Methods: We retrospectively studied subjects without previous stroke($age{\geq}40$) who visited east-west medical examination center in Kang Nam Korean Hosipital, Kyung Hee University for last 2 years(1998.8.1.${\sim}$2000.7.31.). Sasang constitutional differentiation was performed by Questionnaire for the Constitution Classification(QSCC) II and subjects who couldn't be classifiea by QSCC II were excluded. Results : Total 363 subjects participated in this study(Taeyangin 0, Taeumin 103, Soyangin 113, Soumin 92, obscure 55). Diabetes mellitus(p<0.05), hyperlipidemia(p<0.01), obesity(p=0.000) were significantly prevalent in Taeumin. Hypertension and heart disease had no significant difference between Sasang constitutions. Conclusions: This study showed that the risk factors of CVD were more prevalent in Taeumin. Therefore we guess that Taeumin has high risk of CVD.

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심혈관 질환과 인격 특성 (Cardiovascular Disease and Personality Trait)

  • 고영훈
    • 정신신체의학
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    • 제14권2호
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    • pp.81-87
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    • 2006
  • 많은 연구들이 심혈관 질환의 병인과 병리적 기전에 있어 사회심리학적, 행동학적 위험요인의 역할을 조사해 왔다. A형 행동 유형과 심장 질환의 이환 및 사망과의 관련성을 확인한 여러 전향적 연구들을 바탕으로, A형 행동 유형은 관상동맥질환의 독립적인 위험요인으로 밝혀졌다. 또한 최근 제안된 새로운 성격유형인 D형 인격유형 역시 심혈관 질환의 이환율과사망률의 증가에 관여함이 보고되고 있다. 그러나 국내에서는 아직 이들과 관련된 연구가 부족한 실정이다. 따라서 저자는 심혈관 질환과의 관련성에 대해 널리 연구, 보고되고 있는 A형 행동유형과 D형 인격유형에 초점을 맞추면서 지금까지의 연구 문헌을 정리 검토하여 향후 연구에 도움을 주고자 하였다.

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Interactions of Behavioral Changes in Smoking, High-risk Drinking, and Weight Gain in a Population of 7.2 Million in Korea

  • Kim, Yeon-Yong;Kang, Hee-Jin;Ha, Seongjun;Park, Jong Heon
    • Journal of Preventive Medicine and Public Health
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    • 제52권4호
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    • pp.234-241
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    • 2019
  • Objectives: To identify simultaneous behavioral changes in alcohol consumption, smoking, and weight using a fixed-effect model and to characterize their associations with disease status. Methods: This study included 7 000 529 individuals who participated in the national biennial health-screening program every 2 years from 2009 to 2016 and were aged 40 or more. We reconstructed the data into an individual-level panel dataset with 4 waves. We used a fixed-effect model for smoking, heavy alcohol drinking, and overweight. The independent variables were sex, age, lifestyle factors, insurance contribution, employment status, and disease status. Results: Becoming a high-risk drinker and losing weight were associated with initiation or resumption of smoking. Initiation or resumption of smoking and weight gain were associated with non-high-risk drinkers becoming high-risk drinkers. Smoking cessation and becoming a high-risk drinker were associated with normal-weight participants becoming overweight. Participants with newly acquired diabetes mellitus, ischemic heart disease, stroke, and cancer tended to stop smoking, discontinue high-risk drinking, and return to a normal weight. Conclusions: These results obtained using a large-scale population-based database documented interactions among lifestyle factors over time.

지역사회 재가 노인의 낙상에 영향을 미치는 요인 (Prevalence and Associated Factors of Falls in the Elderly Community)

  • 백경원;송현종;정윤석;문혜원;조준필
    • Journal of Preventive Medicine and Public Health
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    • 제34권1호
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    • pp.47-54
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    • 2001
  • Objectives : To analyze factors associated with elderly falls in a community dwelling, a comparatively important, but somewhat neglected, health mailer. Methods : Data came from personal interview surveys using a questionnaire of 552 people aged 65 or older living in a community. Socioeconomic, and health related characteristics were investigated as independent variables and experiences of falling in the previous year as the dependent variable. Results : 118(21.4%) of the elderly subjects experienced a fall in the previous year. 24 subjects experienced more than two falls, accounting for 20.3% of the elderly fall victims studied. Factors affecting the falls were families living together, level of daily activity, heart disease, and aconuresis;, therefore an elderly person who lives alone, lives independently, has heart disease, or suffers urinary incontinence had a demonstrated increased chance of failing. Conclusion : Groups at risk for luting included elderly persons living alone, living independently, suffering heart disease, or experiencing urinary incontinence. When an elderly fall prevention program is developed and implemented, these results should be considered.

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The Comparison of Risk Factors for Ischemic Stroke or Intracranial Hemorrhage in Korean Stroke Patients: A Nationwide Population-based Study

  • Choi, Sun-Young;Kim, Ji-In;Hwang, Shin-Woo
    • 대한의생명과학회지
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    • 제24권4호
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    • pp.405-410
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    • 2018
  • Stroke is a leading cause of death in the Korean population and remains a major health burden worldwide. The two main pathologic types of stroke are ischemic stroke and intracranial hemorrhage (ICH), but comparisons of risk factors for these have been limited. We under took a nationwide population-based study to analyze the relationship between these risk factor sand ischemic stroke and ICH. From January 2003 to December 2013, a total of 37,561 patients with newly diagnosed ischemic stroke or ICH were identified using the National Health Insurance Service data base as the study population. Multivariable logistic regression analysis was used to determine the association between baseline risk factors and presentation with ICH versus ischemic stroke. The incidence of ischemic stroke showed an increasing rend every year, while there was no significant change in the incidence of ICH. Of the several risk factors associated with stroke, old age (OR 2.35, 95% CI 2.12~2.49, P < 0.001) was more closely associated with ischemic stroke than ICH, whereas renal disease (OR 0.74, 95% CI 0.55~0.99, P = 0.04) and carotid disease (OR 0.25, 95% CI 0.17~0.35, P < 0.001) were more strongly associated with ICH. In addition, diabetes mellitus, dyslipidemia, hypertension, ischemic heart disease and male sex was associated with an increased risk of ischemic stroke. Old age was more strongly associated with ischemic stroke than ICH, while carotid stenosis and renal impairment were more closely associated with ICH risk. Classic risk factors for stroke have considerably different associations with the two main pathologic types of stroke.

관상동맥질환 위험인자 유무 판단을 위한 심박변이도 매개변수 기반 심층 신경망의 성능 평가 (Performance Evaluation of Deep Neural Network (DNN) Based on HRV Parameters for Judgment of Risk Factors for Coronary Artery Disease)

  • 박성준;최승연;김영모
    • 대한의용생체공학회:의공학회지
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    • 제40권2호
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    • pp.62-67
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    • 2019
  • The purpose of this study was to evaluate the performance of deep neural network model in order to determine whether there is a risk factor for coronary artery disease based on the cardiac variation parameter. The study used unidentifiable 297 data to evaluate the performance of the model. Input data consists of heart rate parameters, which are SDNN (standard deviation of the N-N intervals), PSI (physical stress index), TP (total power), VLF (very low frequency), LF (low frequency), HF (high frequency), RMSSD (root mean square of successive difference) APEN (approximate entropy) and SRD (successive R-R interval difference), the age group and sex. Output data are divided into normal and patient groups, and the patient group consists of those diagnosed with diabetes, high blood pressure, and hyperlipidemia among the various risk factors that can cause coronary artery disease. Based on this, a binary classification model was applied using Deep Neural Network of deep learning techniques to classify normal and patient groups efficiently. To evaluate the effectiveness of the model used in this study, Kernel SVM (support vector machine), one of the classification models in machine learning, was compared and evaluated using same data. The results showed that the accuracy of the proposed deep neural network was train set 91.79% and test set 85.56% and the specificity was 87.04% and the sensitivity was 83.33% from the point of diagnosis. These results suggest that deep learning is more efficient when classifying these medical data because the train set accuracy in the deep neural network was 7.73% higher than the comparative model Kernel SVM.