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Bo-Hyoung Jang 2 Articles
Relationship Between Water Intake and Metabolic/Heart Diseases: Based on Korean National Health and Nutrition Examination Survey
Soobin Jang, Chunhoo Cheon, Bo-Hyoung Jang, Sunju Park, So-Mi Oh, Yong-Cheol Shin, Seong-Gyu Ko
Osong Public Health Res Perspect. 2016;7(5):289-295.   Published online October 31, 2016
DOI: https://doi.org/10.1016/j.phrp.2016.08.007
  • 1,986 View
  • 21 Download
  • 4 Citations
AbstractAbstract PDF
Objectives
The aim of this study was to identify the correlation between adequate water intake and the prevalence of metabolic/heart diseases.
Methods
We analyzed the data from the 2012 Korea National Health and Nutrition Examination Survey. All participants were divided into Group Above Adequate Intake (n = 736) and Group Below Adequate Intake (n = 4,819) according to water intake. The thresholds were 1.8 L for men and 1.4 L for women based on the World Health Organization report findings. Logistic regression analyses were performed to verify the correlation between water intake and prevalence of hypertension, diabetes mellitus, dyslipidemia, myocardial infarction, and angina pectoris.
Results
There were significant differences between the two groups in terms of the following variables: age, smoking, alcohol, stress, dietary supplements, body weight, physical activity, total calorie intake, water intakes from food, and sodium intake. Participants in Group Above Adequate Intake showed a higher prevalence of hypertension [odds ratio (OR) = 1.22; 95% confidence interval (CI), 0.58–2.55], diabetes mellitus (OR = 1.38; 95% CI, 0.51–3.73), angina pectoris (OR = 0.94; 95% CI, 0.47–1.86), and myocardial infarction (OR = 5.36; 95% CI, 0.67–43.20) than those in Group Below Adequate Intake, whereas the latter showed a slightly higher prevalence of dyslipidemia (OR = 2.25; 95% CI, 0.88–57.84) than the former.
Conclusion
There was no statistically significant association between water intake and any of the metabolic/heart diseases. However, further studies on water intake are needed to confirm our findings.

Citations

Citations to this article as recorded by  
  • Water intake and risk of type 2 diabetes: A systematic review and meta-analysis of observational studies
    Nasim Janbozorgi, Ramesh Allipour, Kurosh Djafarian, Sakineh Shab-Bidar, Mostafa Badeli, Maryam Safabakhsh
    Diabetes & Metabolic Syndrome: Clinical Research &.2021; 15(4): 102156.     CrossRef
  • Changes in feed consumption and water intake among broiler chickens subjected to melatonin treatment during the hot-dry season
    Victor Olusegun Sinkalu, Joseph Olusegun Ayo, Joseph Olajide Hambolu, Alexander Babatunde Adelaiye, Friday Ocheja Zakari, Tagang Aluwong
    Tropical Animal Health and Production.2020; 52(2): 717.     CrossRef
  • Evaluation of Dietary Habit and Nutritional Intake of Korean Elderly: Data from Korea National Health and Nutrition Examination Survey 2013∼2015
    Gyusang Han, Eunju Yang
    Journal of the East Asian Society of Dietary Life.2018; 28(4): 258.     CrossRef
  • Water intake from foods and beverages and risk of mortality from CVD: the Japan Collaborative Cohort (JACC) Study
    Renzhe Cui, Hiroyasu Iso, Ehab S Eshak, Koutatsu Maruyama, Akiko Tamakoshi
    Public Health Nutrition.2018; 21(16): 3011.     CrossRef
The Relationship between Health Behavior and General Health Status: Based on 2011 Korea National Health and Nutrition Examination Survey
Chunhoo Cheon, So-Mi Oh, Soobin Jang, Jeong-Su Park, Sunju Park, Bo-Hyoung Jang, Yong-Cheol Shin, Seong-Gyu Ko
Osong Public Health Res Perspect. 2014;5(1):28-33.   Published online February 28, 2014
DOI: https://doi.org/10.1016/j.phrp.2013.12.003
  • 2,082 View
  • 26 Download
  • 2 Citations
AbstractAbstract PDF
Objectives
The aim of the present study is to investigate the relationship between health behavior and general health status.
Methods
We used data from the 2011 Korea National Health and Nutrition Examination Survey. Mental health was measured by stress recognition and depression. Dietary habit was measured by mixed grain diet. Life pattern was measured by sleeping time and working pattern. Physical activity was measured by walking and exercise. We defined general health status as Euro Quality of Life-5 Dimension (EQ-5Dindex), Euro Quality of Life Visual Analogue Scale (EQ-5Dvas), number of people experienced lying in a sickbed for the last one month, number of days lying in a sickbed for the last one month, and activity limitations.
Results
Mental health, dietary habit, life pattern, and physical activity have seven factors. Most of the factors have a significant correlation with EQ-5Dindex, EQ-5Dvas, number of people experienced lying in a sickbed for the last one month, number of days lying in a sickbed for the last one month, and activity limitations.
Conclusion
Health behavior and general health status have a positive correlation.

Citations

Citations to this article as recorded by  
  • Clustering of Health-Related Behavior Patterns and Demographics. Results From the Population-Based KORA S4/F4 Cohort Study
    Matthias Rabel, Michael Laxy, Barbara Thorand, Annette Peters, Lars Schwettmann, Filip Mess
    Frontiers in Public Health.2019;[Epub]     CrossRef
  • Patients with Chronic Musculoskeletal Pain of 3–6-Month Duration Already Have Low Levels of Health-Related Quality of Life and Physical Activity
    Javid Majlesi
    Current Pain and Headache Reports.2019;[Epub]     CrossRef

PHRP : Osong Public Health and Research Perspectives