scholarly journals Factors Influencing Health Behavior Compliance of Patients with Metabolic Syndrome

2012 ◽  
Vol 24 (2) ◽  
pp. 191-199 ◽  
Author(s):  
Ji-Soon Kang ◽  
Hyun-Sook Kang ◽  
Eun-Kyoung Yun ◽  
Hyun-Rim Choi
Keyword(s):  
Metabolic Syndrome ◽  
Health Behavior ◽  
Factors Influencing

A Study on the Correlation between Health Behavior Patterns and Metabolic Syndrome of Female Workers

2019 ◽  
Vol 1 (2) ◽  
pp. 111-123
Author(s):  
Ji-Yeon Lim ◽  
◽  
Eun-jung Kwon ◽  
Hye-sun Jung
Keyword(s):  
Metabolic Syndrome ◽  
Health Behavior ◽  
Behavior Patterns ◽  
Female Workers

Oral Health Behavior and Metabolic Syndrome and Its Components in Adults

2012 ◽  
Vol 91 (5) ◽  
pp. 479-484 ◽  
Author(s):  
Y. Kobayashi ◽  
K. Niu ◽  
L. Guan ◽  
H. Momma ◽  
H. Guo ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Oral Health ◽  
Health Behavior ◽  
Oral Health Behavior

scholarly journals Characteristics and Health Behavior of Newly Developed Metabolic Syndrome Among Community-Dwelling Elderly in Taiwan

2013 ◽  
Vol 7 (2) ◽  
pp. 90-96 ◽  
Author(s):  
Yi-Hsuan Lin ◽  
Hsiao-Ting Chang ◽  
Yen-Han Tseng ◽  
Ming-Hwai Lin ◽  
Yi-Chun Chen ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Health Behavior ◽  
Community Dwelling

Knowledge, Perception and Health Behavior about Metabolic Syndrome for an at Risk Group in a Rural Community Area

2007 ◽  
Vol 37 (5) ◽  
pp. 790 ◽  
Author(s):  
Eui Geum Oh ◽  
So Youn Bang ◽  
Sa Saeng Hyun ◽  
Sang Hui Chu ◽  
Y Justin Jeon ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
At Risk ◽  
Health Behavior ◽  
Rural Community ◽  
Risk Group ◽  
Community Area

scholarly journals Association between Dietary Habits, Shift Work, and the Metabolic Syndrome: The Korea Nurses’ Health Study

2020 ◽  
Vol 17 (20) ◽  
pp. 7697
Author(s):  
Heeja Jung ◽  
Hyunju Dan ◽  
Yanghee Pang ◽  
Bohye Kim ◽  
Hyunseon Jeong ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Shift Work ◽  
Dietary Habits ◽  
Public Health Problem ◽  
Health Study ◽  
Calorie Intake ◽  
Important Public Health Problem ◽  
Family History Of Diabetes ◽  
The Metabolic Syndrome ◽  
Factors Influencing

Metabolic syndrome (MetS) is an important public health problem, and unhealthy dietary habits and shift work are considered major factors that increase the prevalence of MetS. The purpose of this study was to examine whether dietary habits, alcohol drinking, and shift-working were associated with development of MetS in shift-working female nurses. This study analyzed cross-sectional survey data from the Korea Nurses’ Health Study (KNHS). Of the 1638 nurses, 403 participants were selected based on the propensity score matching method (PSM). These participants had either no or more than three MetS determinant factors. Analysis was conducted by using multivariable logistic regression to confirm the factors influencing MetS. The prevalence of MetS in this group (1638 participants) was 5.6% (92 participants). Consumption of over 50% of daily calorie intake after 7 p.m., consumption of carbonated drinks, family history of diabetes, and non-shift work were significant factors influencing MetS. Nurses are one of the at-risk groups for unhealthy dietary habits due to the nature of their work. Therefore, nurse managers should include regular dietary education for nurses and continue their policy efforts to resolve health problems that may arise in connection with nurses’ work.

scholarly journals Factors influencing health behavior practice in patients with coronary artery diseases

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Ho Gi Jung ◽  
Ya Ki Yang
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Health Behavior ◽  
Cardiac Rehabilitation ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Positive Relationships ◽  
Factors Influencing ◽  
Artery Disease ◽  
Educational Need

Abstract Background The purpose of this study was to investigate the relationships among cardiac rehabilitation knowledge, educational need and health behavior practice in patients with coronary artery disease and explain factors influencing health behavior practice. Method The research participants were 189 patients with coronary artery disease from general hospital located in Korea. Self-evaluation questionnaires were used to collect the data. Data was collected from January to May, 2020. Data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation coefficients and multiple regression with the SPSS 24.0 program. Results There were significant positive relationships between cardiac rehabilitation knowledge and health behavior practice (r = .37, p < .001), and significant positive relationships between educational need and health behavior practice (r = .17, p = .022). Factors influencing health behavior practice were identified, the most critical predictive factor was age (≥80) (β = .52), followed by cardiac rehabilitation knowledge (β = .42), regular exercise (No) (β = −.25), family history (No) (β = .24), age (60-69) (β = .22), cohabitation (No) (β = −.20) and educational needs (β = .17). The explanation power of this model was 50% and it was statistically significant (F = 13.42, p < .001). Conclusion This study suggests that cardiac rehabilitation knowledge and educational need should be considered in enhancing cardiac rehabilitation programs designed for patients with coronary artery disease.

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