Warning: mkdir(): Permission denied in /home/virtual/lib/view_data.php on line 81

Warning: fopen(upload/ip_log/ip_log_2024-11.txt): failed to open stream: No such file or directory in /home/virtual/lib/view_data.php on line 83

Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 84
The Prevalence of Hypertension and Related Nutritional Risk Factors of Elderly Living in a Rural Area
Skip Navigation
Skip to contents

Korean J Community Nutr : Korean Journal of Community Nutrition

OPEN ACCESS

Articles

Page Path
HOME > Korean J Community Nutr > Volume 20(4); 2015 > Article
Research Article
Korean Journal of Community Nutrition 2015;20(4):291-300.
DOI: https://doi.org/10.5720/kjcn.2015.20.4.291
Published online: January 20, 2015

Department of Food and Nutrition, Hannam University, Daejeon, Korea

†Corresponding author Mee Sook Lee Department of Food and Nutrition, Hannam University, 1646 Yuseong-ro, Yuseong-gu, Daejeon 34430, Korea Tel: (042) 629-8794 Fax: (042) 629-8789 E-mail: meesook@hnu.kr
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (2011–0011070).
• Received: July 24, 2015   • Revised: August 14, 2015   • Accepted: August 20, 2015

Copyright © 2015 Journal of the Korean Society of Community Nutrition

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • 119 Views
  • 0 Download
  • 1 Crossref
prev next
  • Objectives: The prevalence of hypertension in Korean rural elderly was significantly higher than that of the general population. Determining the potential risk factors of hypertension would be useful for managing and improving the treatment and prevention of hypertension in rural areas. Methods: We studied 336 elderly individuals 110 males, 226 females) aged between 65 years and 95 years residing in the rural area, S-gun Jeonbuk. Health-related habits, frequency of intake of food groups, nutrient intakes, anthropometric and biochemical measurements were assessed. Subjects were defined as hypertensive if SBP was ≥ 140 mmHg or if DBP was ≥ 90 mmHg or take an antihypertensive drug. Results: The rate of prevalence of hypertension in the study group was 51.8% (male 40.0%, female 57.5%). The risk of occurrence of hypertension was higher among females (OR, 1.98), 75 years old or older (OR, 1.62), BMI ≥ 25 kg/m2 (OR, 2.84), acceptable range (upper end) of body fat (OR, 2.29) and unhealthy (too high) range of body fat (OR, 3.28), hypertriglyceridemia (OR, 2.17) and hypercholesterolemia (OR, 5.42), low protein intakes (OR, 1.78). However, health related habits, frequencies of intake of food groups and most nutrient intakes except for protein did not show any significant relationship with the occurrence of hypertension. Conclusions: To reduce the risk of occurrence of hypertension among elderly individuals in rural areas, it is needed to avoid increase of body fat, 25 or higher BMI (kg/m2) and hyperlipidemia and low intake of proteins.
Table 1.
The number of study subjects
  Male Female Total
Normotensive subject1) 66 (160.0)2) 96 (142.5) 162 (148.2)
Hypertensive subject3) 44 (140.0) 130 (157.5) 174 (151.8)
Total 110 (100.0) 226 (100.0) 336 (100.0)

1)Normotensive subject: SBP < 140 mmHg and DBP < 90 mmHg 2) N (%) 3) Hypertensive subject: SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or take a antihypertensive drug

Table 2.
Anthropometric and biochemical measurements of normotensive and hypertensive subjects
  Male Female
Norm1) (n=66) HP2) (n=44) P-value Norm (n=96) HP (n=130) P-value
Age (years) 874.0± 85.23) 875.6± 85.7 0.141 874.9± 85.6 875.6± 86.0 0.375
Anthropometric measurements
Height (cm) 163.4± 86.2 162.0± 86.0 0.262 147.5± 85.6 147.7± 86.2 0.835
Body weight (kg) 856.9± 10.6 859.2± 88.3 0.234 848.8± 87.2 850.8± 88.3 0.064
Body fat (%) 820.7± 87.3 824.5± 86.8 0.007∗∗ 828.9± 87.0 831.4± 87.2 0.009∗∗
BMI (kg/m2) 821.4± 83.6 822.5± 82.8 0.084 822.4± 82.7 823.2± 83.4 0.043∗
Waist circumference (cm) 881.0± 89.8 884.8± 87.7 0.037∗ 879.6± 88.1 881.7± 88.2 0.059
Biochemical measurements
Albumin (g/dL) 884.8± 85.3 884.1± 80.3 0.423 884.2± 80.2 884.2± 80.3 0.462
Triglyceride (mg/dL) 120.9± 62.3 119.3± 74.7 0.906 123.0± 55.9 138.2± 73.7 0.078
Total cholesterol (mg/dL) 162.7± 37.9 167.9± 39.0 0.488 179.7± 33.8 174.7± 38.0 0.303
HDL-cholesterol (mg/dL) 843.0± 11.3 845.0± 11.3 0.366 847.1± 11.6 844.8± 89.6 0.114
LDL-cholesterol (mg/dL) 895.1± 32.7 899.8± 33.0 0.462 106.2± 32.8 101.0± 32.3 0.238
Fasting blood glucose (mg/dL) 897.1± 32.1 888.3± 15.9 0.059 894.1± 38.6 890.9± 18.1 0.450
HbA1C (%) 886.2± 81.0 886.0± 80.4 0.220 886.0± 80.6 886.0± 80.5 0.770

1)Normotensive group: SBP < 140 mmHg and DBP < 90 mmHg 2) Hypertensive group: SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or take a antihypertensive drug 3) Mean± SD ∗: p < 0.05, ∗∗: p < 0.01

Table 3.
Odds ratios of the anthropometric and biochemical risk factors for hypertension
  N (%) Crude OR (95% CI) Adjusted OR1) (95% CI)
Sex
Male 110 (32.7) 1.00 1.00
Female 226 (67.3) 2.03 (1.28–3.23)∗∗ 1.98 (1.24–3.16)∗∗
Age (years)
65–74 174 (51.8) 1.00 1.00
75–84 140 (41.7) 1.65 (1.05–2.59)∗ 1.62 (1.03–2.55)∗
≥ 85 22 (66.5) 2.10 (0.84–5.27) 1.96 (0.77–4.96)
Anthropometric risk factors
Body fat (%)
M: 6–15, F: 9–23 (acceptable-lower end) 56 (16.7) 1.00 1.00
M: <15-<25, F: <23-<32 (acceptable-upper end) 155 (46.1) 2.45 (1.28–4.69)∗∗ 2.29 (1.17–4.47)∗
M: ≥ 25, F: ≥ 32 (unhealthy-too high) 125 (37.2) 3.68 (1.88–7.22)∗∗∗ 3.28 (1.65–6.52)∗∗∗
BMI (kg/m2)      
< 18.5 32 (69.5) 1.00 1.00
18.5–22.9 160 (47.6) 1.29 (0.60–2.79) 1.29 (0.58–2.85)
23–24.9 74 (22.0) 1.92 (0.83–4.45) 2.06 (0.85–4.98)
≥ 25 70 (20.8) 2.47 (1.05–5.82)∗ 2.84 (1.14–7.05)∗
Waist circumference (cm)
M: < 90, F: < 85 234 (69.6) 1.00 1.00
M: ≥ 90, F: ≥ 85 102 (30.4) 1.90 (1.18–3.06)∗∗ 2.10 (1.27–3.48)∗∗
Biochemical risk factors
Triglycerides (mg/dL)
< 150 240 (71.4) 1.00 1.00
150–199 60 (17.9) 0.92 (0.52–1.62) 0.87 (0.49–1.56)
≥ 200 36 (10.7) 1.97 (0.94–4.11) 2.17 (1.02–4.63)∗
Total cholesterol (mg/dL)
< 200 256 (76.2) 1.00 1.00
200–239 67 (19.9) 1.01 (0.59–1.74) 0.93 (0.53–1.62)
≥ 240 13 (63.9) 5.42 (1.18–24.92)∗ 5.42 (1.15–25.47)∗
HDL-cholesterol (mg/dL)
M: ≥ 40, F: ≥ 50 136 (40.5) 1.00 1.00
M: < 40, F: < 50 200 (59.5) 1.60 (1.03–2.48)∗ 1.31 (0.82–2.09)
LDL-cholesterol (mg/dL)
< 130 273 (81.3) 1.00 1.00
130–159 49 (14.6) 0.98 (0.53–1.79) 0.86 (0.46–1.62)
≥ 160 14 (64.2) 1.25 (0.42–3.69) 1.21 (0.40–3.67)
Fasting blood glucose (mg/dL)
< 126 316 (94.0) 1.00 1.00
≥ 126 20 (66.0) 0.48 (0.19–1.24) 0.48 (0.18–1.27)
HbA1C (%)
< 7 313 (93.2) 1.00 1.00
≥ 7 23 (66.8) 0.58 (0.24–1.37) 0.61 (0.25–1.49)

1)Values are adjusted for age and sex. ∗: p < 0.05, ∗∗: p < 0.01, ∗∗∗: p < 0001

Table 4.
Odds ratios of the health-related habits for hypertension
  N (%) Crude OR (95% CI) Adjusted OR1) (95% CI)
Smoking
None 257 (76.5) 1.00 1.00
Ex-smoking 44 (13.1) 0.59 (0.31–1.12) 0.71 (0.33–1.54)
Smoking 35 (10.4) 0.31 (0.14–0.67) 0.40 (0.17–0.93)
Alcohol drinking
None 256 (76.2) 1.00 1.00
Drinking 80 (23.8) 1.11 (0.67–1.83) 1.62 (0.92–2.84)
Drinking frequency (times/week)
None 256 (76.2) 1.00 1.00
< 1 18 (65.4) 1.91 (0.70–5.24) 2.24 (0.79–6.34)
≥ 1 – <4 30 (68.9) 0.73 (0.34–1.56) 1.06 (0.47–2.40)
≥ 4 32 (69.5) 1.23 (0.59–2.57) 1.97 (0.86–4.51)
Physical activity (hours/day)
< 1 129 (38.4) 1.00 1.00
1 – < 3 60 (17.9) 1.12 (0.60–2.08) 1.10 (0.58–2.09)
≥ 3 147 (43.8) 0.57 (0.36–0.92)∗ 0.70 (0.42–1.16)
Exercise (times/week)
None 247 (73.5) 1.00 1.00
1 – 4 40 (11.9) 1.11 (0.57–2.18) 1.26 (0.63–2.50)
≥ 5 49 (14.6) 1.59 (0.85–2.98) 1.64 (0.86–3.11)
Exercise duration (min/time)
None 232 (69.0) 1.00 1.00
< 30 35 (10.4) 1.02 (0.50–2.08) 1.09 (0.52–2.26)
30 – < 60 26 (67.7) 0.83 (0.37–1.87) 0.91 (0.39–2.09)
≥ 60 43 (12.8) 1.48 (0.76–2.87) 1.72 (0.86–3.44)

1)Values are adjusted for age and sex. ∗: p < 0.05

Table 5.
Odds ratios of the frequencies of intake of food groups and the nutrient intakes for hypertension
    N (%) Crude OR (95% CI) Adjusted OR1) (95% CI)
Eating habits (consumption frequency/week)
Meats ≥ once 107 (31.8) 1.00 1.00
< once 229 (68.2) 1.50 (0.95–2.39) 1.29 (0.80–2.09)
Eggs ≥ once 147 (43.8) 1.00 1.00
< once 189 (56.3) 1.11 (0.72–1.71) 1.04 (0.67–1.63)
Fishes ≥ once 144 (42.9) 1.00 1.00
< once 192 (57.1) 1.25 (0.81–1.93) 1.14 (0.73–1.78)
Doenjang etc. ≥ once 302 (89.9) 1.00 1.00
< once 34 (10.1) 1.57 (0.76–3.26) 1.50 (0.71–3.16)
Legumes ≥ once 203 (60.4) 1.00 1.00
< once 133 (39.6) 0.87 (0.56–1.34) 0.87 (0.55–1.36)
Milks ≥ once 99 (29.5) 1.00 1.00
< once 237 (70.5) 0.76 (0.48–1.22) 0.77 (0.47–1.25)
Fruits & juices ≥ once 212 (63.1) 1.00 1.00
< once 124 (36.9) 1.15 (0.74–1.80) 1.11 (0.70–1.75)
Nutrient intakes (KDRI)2)
Energy ≥ EER 134 (39.9) 1.00 1.00
< EER 202 (60.1) 1.18 (0.77–1.83) 1.17 (0.75–1.83)
Protein ≥ EAR 267 (79.5) 1.00 1.00
< EAR 69 (20.5) 1.86 (1.07–3.20)∗ 1.78 (1.02–3.12)∗
Calcium ≥ EAR 76 (22.6) 1.00 1.00
< EAR 260 (77.4) 1.35 (0.81–2.25) 1.13 (0.66–1.92)
Potassium ≥ AI 59 (17.6) 1.00 1.00
< AI 277 (82.4) 1.72 (0.97–3.05) 1.42 (0.47–2.66)
Iron ≥ EAR 313 (93.2) 1.00 1.00
< EAR 23 (66.8) 1.23 (0.52–2.88) 1.11 (0.27–2.65)
Zinc ≥ EAR 251 (74.7) 1.00 1.00
< EAR 85 (25.3) 1.21 (0.74–1.98) 1.12 (0.67–1.87)
Vitamin A ≥ EAR 206 (61.3) 1.00 1.00
< EAR 130 (38.7) 0.69 (0.45–1.08) 0.69 (0.44–1.08)
Thiamin ≥ EAR 150 (44.6) 1.00 1.00
< EAR 186 (55.4) 1.25 (0.82–1.93) 1.10 (0.71–1.72)
Riboflavin ≥ EAR 57 (17.0) 1.00 1.00
< EAR 279 (83.0) 0.68 (0.38–1.22) 0.66 (0.36–1.19)
Niacin ≥ EAR 124 (36.9) 1.00 1.00
< EAR 212 (63.1) 1.30 (0.84–2.00) 1.07 (0.66–1.73)
Vitamin B6 ≥ EAR 188 (56.0) 1.00 1.00
< EAR 148 (44.0) 1.11 (0.55–2.24) 1.15 (0.74–1.80)
Folate ≥ EAR 170 (50.6) 1.00 1.00
< EAR 166 (49.4) 0.79 (0.51–1.21) 0.77 (0.50–1.20)
Vitamin C ≥ EAR 154 (45.8) 1.00 1.00
< EAR 182 (54.2) 0.94 (0.61–1.45) 0.89 (0.57–1.39)

1)Values are adjusted for age, sex and % body fat. 2) KDRI: Korean Dietary Reference Intakes: EER (estimated energy requirement), EAR (estimated average requirement), AI (adequate intake) ∗: P < 0.05

  • 1. Ministry of Health and Welfare. Ministry of Health and Welfare Statistical Year Book [internet].. 2013; [cited 2014 Nov 25]. Available from:. http://stat.mw.go.kr/.
  • 2. Burt VL, Whelton P, Roccella E, Brown C, Culter JA, Higgins M, et al. Prevalence of hypertension in the US adult population results from the 3rd national health and nutrition examination survey, 1988–1991. Hypertens 1995; 25(3): 305-313.
  • 3. Park JK, Kim CB, Kim KS, Kang MG, Jee SH. Meta-analysis of hypertension as a risk factor of cerebrovascular disorders in Koreans. J Korean Med Sci 2001; 16(1): 2-8.ArticlePubMedPMC
  • 4. Kim KI, Kim CH. Treating hypertension to reduce cardiovascular risk: A Korean perspective. Clin Ther 2012; 34(7): 1559-1568.ArticlePubMed
  • 5. The Ministry of Health and Welfare. The National Health Plan 2020 [Internet].. 2011; [cited 2015 Apr 8]. Available from:. http://www.mw.go.kr/front_new/jb/sjb030301vw.jsp?PAR_MENU_ID=03&MENU_ID=0319&CONT_SEQ=257824.
  • 6. Ministry of Health Welfare & Korea Centers for Disease Control and Prevention. Korea National Health and Nutrition Examination Survey [KNHANES V-3] [internet].. 2013; [cited 2014 Nov 25]. Available from:. https://knhanes.cdc.go.kr/knhanes/.
  • 7. Statistics Korea. Population Census [Internet].. 2010; [cited 2014 Nov 25]. Available from:. http://kosis.kr.
  • 8. Lee MS, Lee SY, Kim HA, Jung SJ, Kim WK, Kim HJ. Clinical Nutrition. Seoul: Powerbook; 2010. p. 144-153.
  • 9. Park SH, Lee KS, Park HY. Dietary carbohydrate intake is associated with cardiovascular disease risk in Korean: Analysis of the third Korea National Health and Nutrition Examination Survey (KNHANES III). Int J Cardiol 2010; 139(3): 234-240.ArticlePubMed
  • 10. Park J, Lee JS, Kim J. Relationship between dietary sodium, potassium, and calcium, anthropometric indexes, and blood pressure in young and middle aged Korean adults. Nutr Res Pract 2010; 4(2): 155-162.ArticlePubMedPMC
  • 11. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 2002; 13(1): 3-9.ArticlePubMed
  • 12. Kant AK. Dietary patterns and health outcomes. J Am Diet Assoc 2004; 104(4): 615-635.ArticlePubMed
  • 13. WHO Regional Office for Southeast Asia. Development of food-based dietary guidelines for the Asian region [internet]. World Health Organization; 1999. [cited 2015 Apr 8]. Available from:. http://www.who.int/nutrition/publications/nutrientrequirements/dietguide_searo/en/.
  • 14. Cheong BS, Lee SH, Yun HS, Cho SG, Lee JH, Seo JC, et al. The clinical study of risk and lifestyle factors in stroke −419 case control study–. J Korean Acup Moxi Soc 2001; 18(6): 14-26.
  • 15. Moon HK, Park JH. Comparative analysis and evaluation of dietary intake between with and without hypertension using 2001 Korea national health and nutrition examination survey. J Nutr Health 2007; 40(4): 347-361.
  • 16. Lee HS, Kwun IS, Kwon CS. Prevalence of hypertension and related risk factors of the older residents in Andong rural area. J Korean Soc Food Sci Nutr 2009; 38(7): 852-861.Article
  • 17. Lim H, Choue R. Dietary pattern, nutritional density, and dietary quality were low in patients with cerebral infarction in Korea. Nutr Res 2011; 31(8): 601-607.ArticlePubMed
  • 18. Cho YA, Kim J, Cho ER, Shin A. Dietary patterns and the prevalence of metabolic syndrome in Korean women. Nutr Metab Cardiovasc Dis 2011; 21(11): 893-900.ArticlePubMed
  • 19. Lee JE, Kim JH, Son SJ, Ahn Y, Lee J, Park C, et al. Dietary pattern classifications with nutrient intake and health-risk factors in Korean men. Nutr 2011; 27(1): 26-33.Article
  • 20. Korean Nutrition Society. Korean Dietary Reference Intakes 2010 [Internet].. 2010; [cited 2014 Nov 25]. Available from:. http://www.kns.or.kr/.
  • 21. WHO (World Health Organization) Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004; 363(9403): 157-163.PubMed
  • 22. Lee RD, Nieman DC. Nutritional assessment. 5th ed.. Singapore: McGraw-Hill Higher Education; 2010. p. 193.
  • 23. Task Force for the management of dyslipidemias of the Korean Society of Lipidology & Atherosclerosis. Guidelines for the management of dyslipidemias. 3rd ed.. Seoul: Chung-woon; 2015. p. 3.
  • 24. Lee HJ, Lee HS, Lee YN, Jang YA, Moon JJ, Kim CI. Nutritional environment influences hypertension in the middle-aged Korean adults: based on 1998 & 2001 national health and nutrition examination survey. Korean J Community Nutr 2007; 12(3): 272-283.
  • 25. Eom JS, Lee TR, Park SJ, Ahn Y, Chung YJ. The risk factors of the pre-hypertension and hypertension of rural inhabitants in Chungnam-do. Korean J Nutr 2008; 41(8): 742-753.
  • 26. Kim JA, Kim SM, Choi YS, Yoon D, Lee JS, Park HS, et al. The prevalence and risk factors associated with isolated untreated systolic hypertension in Korea: the Korean national health and nutrition survey 2001. J Hum Hypertens 2007; 21(2): 107-113.PubMed
  • 27. World Health Organization(WHO). WHO Health Report series. Diet, nutrition and the prevention of chronic diseases [internet]. World Health Organization; 2003. [cited 2015 Apr 8]. Available from:. http://www.who.int/nutrition/publications/obesity/WHO_TRS_916/en/.
  • 28. Ko GTC, Cockram CS, Chow CC, Chan WB, So WY, Ma R, et al. Effects of body mass index, plasma glucose and cholesterol levels on isolated systolic hypertension. Int J Cardiol 2005; 101(3): 429-433.PubMed
  • 29. Horio T, Miyazato J, Kamide K, Takiuchi S, Kawano Y. Influence of low high-density lipoprotein cholesterol on left ventricular hypertrophy and diastolic function in essential hypertension. Am J Hypertens 2003; 16(11): 938-944.PubMed
  • 30. Bittner V, Johnson BD, Zineh I, Rogers WJ, Vido D, Marroquin OC, et al. The triglyceride/high-density lipoprotein cholesterol ratio predicts all-cause mortality in women with suspected myocardial ischemia: A report from the Women's Ischemia Syndrome Evaluation (WISE). Am Heart J 2009; 157(3): 548-555.PubMedPMC

Figure & Data

REFERENCES

    Citations

    Citations to this article as recorded by  
    • Health-related Behavior Affecting Hypertension in the Elderly Using Data from the 8th Korea National Health and Nutrition Examination Survey
      Jongsuk LEE
      Korean Journal of Clinical Laboratory Science.2024; 56(2): 163.     CrossRef

    • PubReader PubReader
    • Cite
      CITE
      export Copy Download
      Close
      Download Citation
      Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

      Format:
      • RIS — For EndNote, ProCite, RefWorks, and most other reference management software
      • BibTeX — For JabRef, BibDesk, and other BibTeX-specific software
      Include:
      • Citation for the content below
      The Prevalence of Hypertension and Related Nutritional Risk Factors of Elderly Living in a Rural Area
      Korean J Community Nutr. 2015;20(4):291-300.   Published online August 31, 2015
      Close
    • XML DownloadXML Download
    We recommend
    The Prevalence of Hypertension and Related Nutritional Risk Factors of Elderly Living in a Rural Area
    The Prevalence of Hypertension and Related Nutritional Risk Factors of Elderly Living in a Rural Area

    The number of study subjects

      Male Female Total
    Normotensive subject1) 66 (160.0)2) 96 (142.5) 162 (148.2)
    Hypertensive subject3) 44 (140.0) 130 (157.5) 174 (151.8)
    Total 110 (100.0) 226 (100.0) 336 (100.0)

    1)Normotensive subject: SBP < 140 mmHg and DBP < 90 mmHg 2) N (%) 3) Hypertensive subject: SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or take a antihypertensive drug

    Anthropometric and biochemical measurements of normotensive and hypertensive subjects

      Male Female
    Norm1) (n=66) HP2) (n=44) P-value Norm (n=96) HP (n=130) P-value
    Age (years) 874.0± 85.23) 875.6± 85.7 0.141 874.9± 85.6 875.6± 86.0 0.375
    Anthropometric measurements
    Height (cm) 163.4± 86.2 162.0± 86.0 0.262 147.5± 85.6 147.7± 86.2 0.835
    Body weight (kg) 856.9± 10.6 859.2± 88.3 0.234 848.8± 87.2 850.8± 88.3 0.064
    Body fat (%) 820.7± 87.3 824.5± 86.8 0.007∗∗ 828.9± 87.0 831.4± 87.2 0.009∗∗
    BMI (kg/m2) 821.4± 83.6 822.5± 82.8 0.084 822.4± 82.7 823.2± 83.4 0.043∗
    Waist circumference (cm) 881.0± 89.8 884.8± 87.7 0.037∗ 879.6± 88.1 881.7± 88.2 0.059
    Biochemical measurements
    Albumin (g/dL) 884.8± 85.3 884.1± 80.3 0.423 884.2± 80.2 884.2± 80.3 0.462
    Triglyceride (mg/dL) 120.9± 62.3 119.3± 74.7 0.906 123.0± 55.9 138.2± 73.7 0.078
    Total cholesterol (mg/dL) 162.7± 37.9 167.9± 39.0 0.488 179.7± 33.8 174.7± 38.0 0.303
    HDL-cholesterol (mg/dL) 843.0± 11.3 845.0± 11.3 0.366 847.1± 11.6 844.8± 89.6 0.114
    LDL-cholesterol (mg/dL) 895.1± 32.7 899.8± 33.0 0.462 106.2± 32.8 101.0± 32.3 0.238
    Fasting blood glucose (mg/dL) 897.1± 32.1 888.3± 15.9 0.059 894.1± 38.6 890.9± 18.1 0.450
    HbA1C (%) 886.2± 81.0 886.0± 80.4 0.220 886.0± 80.6 886.0± 80.5 0.770

    1)Normotensive group: SBP < 140 mmHg and DBP < 90 mmHg 2) Hypertensive group: SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or take a antihypertensive drug 3) Mean± SD ∗: p < 0.05, ∗∗: p < 0.01

    Odds ratios of the anthropometric and biochemical risk factors for hypertension

      N (%) Crude OR (95% CI) Adjusted OR1) (95% CI)
    Sex
    Male 110 (32.7) 1.00 1.00
    Female 226 (67.3) 2.03 (1.28–3.23)∗∗ 1.98 (1.24–3.16)∗∗
    Age (years)
    65–74 174 (51.8) 1.00 1.00
    75–84 140 (41.7) 1.65 (1.05–2.59)∗ 1.62 (1.03–2.55)∗
    ≥ 85 22 (66.5) 2.10 (0.84–5.27) 1.96 (0.77–4.96)
    Anthropometric risk factors
    Body fat (%)
    M: 6–15, F: 9–23 (acceptable-lower end) 56 (16.7) 1.00 1.00
    M: <15-<25, F: <23-<32 (acceptable-upper end) 155 (46.1) 2.45 (1.28–4.69)∗∗ 2.29 (1.17–4.47)∗
    M: ≥ 25, F: ≥ 32 (unhealthy-too high) 125 (37.2) 3.68 (1.88–7.22)∗∗∗ 3.28 (1.65–6.52)∗∗∗
    BMI (kg/m2)      
    < 18.5 32 (69.5) 1.00 1.00
    18.5–22.9 160 (47.6) 1.29 (0.60–2.79) 1.29 (0.58–2.85)
    23–24.9 74 (22.0) 1.92 (0.83–4.45) 2.06 (0.85–4.98)
    ≥ 25 70 (20.8) 2.47 (1.05–5.82)∗ 2.84 (1.14–7.05)∗
    Waist circumference (cm)
    M: < 90, F: < 85 234 (69.6) 1.00 1.00
    M: ≥ 90, F: ≥ 85 102 (30.4) 1.90 (1.18–3.06)∗∗ 2.10 (1.27–3.48)∗∗
    Biochemical risk factors
    Triglycerides (mg/dL)
    < 150 240 (71.4) 1.00 1.00
    150–199 60 (17.9) 0.92 (0.52–1.62) 0.87 (0.49–1.56)
    ≥ 200 36 (10.7) 1.97 (0.94–4.11) 2.17 (1.02–4.63)∗
    Total cholesterol (mg/dL)
    < 200 256 (76.2) 1.00 1.00
    200–239 67 (19.9) 1.01 (0.59–1.74) 0.93 (0.53–1.62)
    ≥ 240 13 (63.9) 5.42 (1.18–24.92)∗ 5.42 (1.15–25.47)∗
    HDL-cholesterol (mg/dL)
    M: ≥ 40, F: ≥ 50 136 (40.5) 1.00 1.00
    M: < 40, F: < 50 200 (59.5) 1.60 (1.03–2.48)∗ 1.31 (0.82–2.09)
    LDL-cholesterol (mg/dL)
    < 130 273 (81.3) 1.00 1.00
    130–159 49 (14.6) 0.98 (0.53–1.79) 0.86 (0.46–1.62)
    ≥ 160 14 (64.2) 1.25 (0.42–3.69) 1.21 (0.40–3.67)
    Fasting blood glucose (mg/dL)
    < 126 316 (94.0) 1.00 1.00
    ≥ 126 20 (66.0) 0.48 (0.19–1.24) 0.48 (0.18–1.27)
    HbA1C (%)
    < 7 313 (93.2) 1.00 1.00
    ≥ 7 23 (66.8) 0.58 (0.24–1.37) 0.61 (0.25–1.49)

    1)Values are adjusted for age and sex. ∗: p < 0.05, ∗∗: p < 0.01, ∗∗∗: p < 0001

    Odds ratios of the health-related habits for hypertension

      N (%) Crude OR (95% CI) Adjusted OR1) (95% CI)
    Smoking
    None 257 (76.5) 1.00 1.00
    Ex-smoking 44 (13.1) 0.59 (0.31–1.12) 0.71 (0.33–1.54)
    Smoking 35 (10.4) 0.31 (0.14–0.67) 0.40 (0.17–0.93)
    Alcohol drinking
    None 256 (76.2) 1.00 1.00
    Drinking 80 (23.8) 1.11 (0.67–1.83) 1.62 (0.92–2.84)
    Drinking frequency (times/week)
    None 256 (76.2) 1.00 1.00
    < 1 18 (65.4) 1.91 (0.70–5.24) 2.24 (0.79–6.34)
    ≥ 1 – <4 30 (68.9) 0.73 (0.34–1.56) 1.06 (0.47–2.40)
    ≥ 4 32 (69.5) 1.23 (0.59–2.57) 1.97 (0.86–4.51)
    Physical activity (hours/day)
    < 1 129 (38.4) 1.00 1.00
    1 – < 3 60 (17.9) 1.12 (0.60–2.08) 1.10 (0.58–2.09)
    ≥ 3 147 (43.8) 0.57 (0.36–0.92)∗ 0.70 (0.42–1.16)
    Exercise (times/week)
    None 247 (73.5) 1.00 1.00
    1 – 4 40 (11.9) 1.11 (0.57–2.18) 1.26 (0.63–2.50)
    ≥ 5 49 (14.6) 1.59 (0.85–2.98) 1.64 (0.86–3.11)
    Exercise duration (min/time)
    None 232 (69.0) 1.00 1.00
    < 30 35 (10.4) 1.02 (0.50–2.08) 1.09 (0.52–2.26)
    30 – < 60 26 (67.7) 0.83 (0.37–1.87) 0.91 (0.39–2.09)
    ≥ 60 43 (12.8) 1.48 (0.76–2.87) 1.72 (0.86–3.44)

    1)Values are adjusted for age and sex. ∗: p < 0.05

    Odds ratios of the frequencies of intake of food groups and the nutrient intakes for hypertension

        N (%) Crude OR (95% CI) Adjusted OR1) (95% CI)
    Eating habits (consumption frequency/week)
    Meats ≥ once 107 (31.8) 1.00 1.00
    < once 229 (68.2) 1.50 (0.95–2.39) 1.29 (0.80–2.09)
    Eggs ≥ once 147 (43.8) 1.00 1.00
    < once 189 (56.3) 1.11 (0.72–1.71) 1.04 (0.67–1.63)
    Fishes ≥ once 144 (42.9) 1.00 1.00
    < once 192 (57.1) 1.25 (0.81–1.93) 1.14 (0.73–1.78)
    Doenjang etc. ≥ once 302 (89.9) 1.00 1.00
    < once 34 (10.1) 1.57 (0.76–3.26) 1.50 (0.71–3.16)
    Legumes ≥ once 203 (60.4) 1.00 1.00
    < once 133 (39.6) 0.87 (0.56–1.34) 0.87 (0.55–1.36)
    Milks ≥ once 99 (29.5) 1.00 1.00
    < once 237 (70.5) 0.76 (0.48–1.22) 0.77 (0.47–1.25)
    Fruits & juices ≥ once 212 (63.1) 1.00 1.00
    < once 124 (36.9) 1.15 (0.74–1.80) 1.11 (0.70–1.75)
    Nutrient intakes (KDRI)2)
    Energy ≥ EER 134 (39.9) 1.00 1.00
    < EER 202 (60.1) 1.18 (0.77–1.83) 1.17 (0.75–1.83)
    Protein ≥ EAR 267 (79.5) 1.00 1.00
    < EAR 69 (20.5) 1.86 (1.07–3.20)∗ 1.78 (1.02–3.12)∗
    Calcium ≥ EAR 76 (22.6) 1.00 1.00
    < EAR 260 (77.4) 1.35 (0.81–2.25) 1.13 (0.66–1.92)
    Potassium ≥ AI 59 (17.6) 1.00 1.00
    < AI 277 (82.4) 1.72 (0.97–3.05) 1.42 (0.47–2.66)
    Iron ≥ EAR 313 (93.2) 1.00 1.00
    < EAR 23 (66.8) 1.23 (0.52–2.88) 1.11 (0.27–2.65)
    Zinc ≥ EAR 251 (74.7) 1.00 1.00
    < EAR 85 (25.3) 1.21 (0.74–1.98) 1.12 (0.67–1.87)
    Vitamin A ≥ EAR 206 (61.3) 1.00 1.00
    < EAR 130 (38.7) 0.69 (0.45–1.08) 0.69 (0.44–1.08)
    Thiamin ≥ EAR 150 (44.6) 1.00 1.00
    < EAR 186 (55.4) 1.25 (0.82–1.93) 1.10 (0.71–1.72)
    Riboflavin ≥ EAR 57 (17.0) 1.00 1.00
    < EAR 279 (83.0) 0.68 (0.38–1.22) 0.66 (0.36–1.19)
    Niacin ≥ EAR 124 (36.9) 1.00 1.00
    < EAR 212 (63.1) 1.30 (0.84–2.00) 1.07 (0.66–1.73)
    Vitamin B6 ≥ EAR 188 (56.0) 1.00 1.00
    < EAR 148 (44.0) 1.11 (0.55–2.24) 1.15 (0.74–1.80)
    Folate ≥ EAR 170 (50.6) 1.00 1.00
    < EAR 166 (49.4) 0.79 (0.51–1.21) 0.77 (0.50–1.20)
    Vitamin C ≥ EAR 154 (45.8) 1.00 1.00
    < EAR 182 (54.2) 0.94 (0.61–1.45) 0.89 (0.57–1.39)

    1)Values are adjusted for age, sex and % body fat. 2) KDRI: Korean Dietary Reference Intakes: EER (estimated energy requirement), EAR (estimated average requirement), AI (adequate intake) ∗: P < 0.05

    Table 1. The number of study subjects

    Normotensive subject: SBP < 140 mmHg and DBP < 90 mmHg 2) N (%) 3) Hypertensive subject: SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or take a antihypertensive drug

    Table 2. Anthropometric and biochemical measurements of normotensive and hypertensive subjects

    Normotensive group: SBP < 140 mmHg and DBP < 90 mmHg 2) Hypertensive group: SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or take a antihypertensive drug 3) Mean± SD ∗: p < 0.05, ∗∗: p < 0.01

    Table 3. Odds ratios of the anthropometric and biochemical risk factors for hypertension

    Values are adjusted for age and sex. ∗: p < 0.05, ∗∗: p < 0.01, ∗∗∗: p < 0001

    Table 4. Odds ratios of the health-related habits for hypertension

    Values are adjusted for age and sex. ∗: p < 0.05

    Table 5. Odds ratios of the frequencies of intake of food groups and the nutrient intakes for hypertension

    Values are adjusted for age, sex and % body fat. 2) KDRI: Korean Dietary Reference Intakes: EER (estimated energy requirement), EAR (estimated average requirement), AI (adequate intake) ∗: P < 0.05


    Korean J Community Nutr : Korean Journal of Community Nutrition
    Close layer
    TOP