Hye-Sang Lee

doi:10.5720/kjcn.2014.19.5.479

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The Factors Influencing Health-Related Quality of Life in the Elderly: Focused on the General Characteristics, Health Habits, Mental Health, Chronic Diseases, and Nutrient Intake Status: Data from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V), 2010~2012: Hye-Sang Lee; Korean Journal of Community Nutrition 2014;19(5):479-489.
DOI: https://doi.org/10.5720/kjcn.2014.19.5.479
Published online: October 31, 2014

Department of Food and Nutrition, Andong National University, Gyeongbuk, Korea.

Corresponding author: Hye-Sang Lee. Department of Food and Nutrition, Andong National University, 1375, Gyeongdongro, Andong, Gyeongbuk 760-749, Korea. Tel: (054) 820-5493, Fax: (054) 820-6281, hslee@anu.ac.kr

• Received: August 6, 2014 • Revised: September 23, 2014 • Accepted: September 30, 2014

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.

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Abstract
REFERENCES

Abstract

Objectives
This study intended to determine significant factors that influence the health-related quality of life ("HRQoL"; EuroQol 5 Dimension health-related quality of life (EQ_5D) & EuroQol visual analogue scale (EQ_VAS)) of the elderly in Korea.
Methods
This study was based on 3,903 subjects aged 65 years or more who participated in the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V), 2010~2012. The HRQoL was analyzed by various factors (general characteristics, health habits, mental health, chronic diseases, nutrient intakes). SPSS statistics for complex samples (Windows ver. 21.0) was used.
Results
The HRQoL was higher in the males, those with higher educational level or higher income level while it was lower in those belong to single households. In particular, the EQ_5D was significantly higher in the group who reported walking practice, moderate physical activity (male), and the group who reported no vigorous physical activity (female). The EQ_VAS was significantly higher in the group who reported walking practice. Both EQ_5D and EQ_VAS were significantly lower in the group with stress, melancholy, suicidal thinking, and osteoarthritis. EQ_5D was significantly lower in the group with < 75% Estimated Energy Requirements (EER) in energy intake, and with < Estimated Average Requirements (EAR) in iron or niacin intake. A stepwise regression analysis revealed that i) higher educational level (male), and good self-rated health status significantly increased the EQ_5D, ii) age, alcohol intake (male), melancholy (female), suicidal thinking, osteoarthritis, and niacin intake deficiency (male) significantly decreased the EQ_5D, iii) higher income level (male) and good self-rated health status significantly increased the EQ_VAS, and iv) age (male), stress, suicidal thinking (female) and osteoarthritis significantly decreased the EQ_VAS.
Conclusions
This study suggested that general characteristics, mental health, osteoarthritis, and niacin intake were associated with the HRQoL. Prospective research of long-term control is needed to establish the causal relationship between factors and the HRQoL.
Keywords: KNHANES V; the elderly; the health-related quality of life (HRQoL); EQ_5D; EQ_VAS

REFERENCES

1. Atlantis E, Chow CM, Kirby A, Singh MF. An effective exercise-based intervention for improving mental health and quality of life measures: a randomized controlled trial. Prev Med 2004; 39(2): 424-434.Article PubMed
2. Bae SY, Ko DS, Noh JS, Lee BH, Park HS, Park J. Relation of physical activity and health-related quality of life in Korean elderly. J Korea Contents Assoc 2010; 10(10): 255-266.Article
3. Chang YK, Park HR, Byun KW, Lee BK, Kwon JS. Basic nutrition. Seoul: Kyomunsa; 2006. p. 198-288.
4. Chung JY, Lee MY, Kim MJ. A study on the prevalence of chronic diseases, health-related habits and nutrients intakes according to the quality of life in Korean adults. Korean J Community Nutr 2010; 15(4): 445-459.
5. Jiménez-Redondo S, Beltrán de Miguel B, Gavidia Banegas J, Guzmán Mercedes L, Gómez-Pavón J, Cuadrado Vives C. Influence of nutritional status on health-related quality of life of non-institutionalized older people. J Nutr Health Aging 2014; 18(4): 359-364.Article PubMed PDF
6. Kang EJ, Shin HS, Park HJ, Jo MW, Kim NY. A valuation of health status using EQ-5D. Korean J Health Econ Policy 2006; 12(2): 19-43.
7. Keddie AM. Associations between severe obesity and depression: results from the National Health and Nutrition Examination Survey, 2005-2006. Prev Chronic Dis 2011; 8(3): A57.PubMed PMC
8. Kim HJ, Park K. Egg consumption and prevalence of metabolic syndrome in Korean adults: based on 2007-2008 Korean National Health and Nutrition Examination Survey. Korean J Community Nutr 2011; 16(3): 364-374.Article
9. Kim JG. An analysis on income-related health inequality of the aged applied to EQ-5D. J Korean Gerontol Soc 2012; 32(3): 759-776.
10. Kim JI. Levels of health-related quality of life (EQ-5D) and its related factors among vulnerable elders receiving home visiting health care services in some rural areas. J Korean Acad Community Health Nurs 2013; 24(1): 99-109.Article
11. Kim JY, Lee SG, Lee SK. The relationship between health behaviors, health status, activities of daily living and health-related quality of life in the elderly. J Korean Gerontol Soc 2010; 30(2): 471-484.
12. Kim KI, Lee JH, Kim CH. Impaired health-related quality of life in elderly women is associated with multimorbidity: results from the Korean National Health and Nutrition Examination Survey. Gend Med 2012; 9(5): 309-318.Article PubMed
13. Kim MH, Cho YS, Uhm WS, Kim S, Bae SC. Cross-cultural adaptation and validation of the Korean version of the EQ-5D in patients with rheumatic diseases. Qual Life Res 2005; 14(5): 1401-1406.PubMed
14. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2012: Korea National Health and Nutrition Examination Survey (KNHANES V-3). 2013; cited January 13, 2014]. Available from: http://knhanes.cdc.go.kr/.
15. Statistics Korea. Annual report on the statistics for elderly. 2014; cited June 19, 2014]. Available from: http://kostat.go.kr/.
16. Lee CJ, Joung H. Milk intake is associated with metabolic syndrome: using data from the Korea National Health and Nutrition Examination Survey 2007~2010. Korean J Community Nutr 2012; 17(6): 795-804.
17. Lee DH, Bin SO. Structure relationships for diseased and health-related quality of life in the elderly. J Korea Contents Assoc 2011; 11(1): 216-224.
18. Lee HS. Prevalence of hypertension and related risk factors in the elderly: data from the 4th Korean National Health & Nutrition Examination Survey, 2007~2009. J Korean Diet Assoc 2013; 19(1): 14-24.
19. Lee HS. Prevalence of osteoarthritis and related risk factors in the elderly: data from the fifth Korea National Health and Nutrition Examination Survey (KNHANES V), 2010-2012. J Korean Diet Assoc 2014; 20(2): 99-109.
20. Oh SW. Obesity and metabolic syndrome in Korea. Diabetes Metab J 2011; 35(6): 561-566.PubMed PMC
21. Olivares PR, Gusi N, Prieto J, Hernandez-Mocholi MA. Fitness and health-related quality of life dimensions in communitydwelling middle aged and older adults. Health Qual Life Outcomes 2011; 9: 117.PubMed PMC
22. Park H, Lee SK. The association between osteoarthritis and health-related quality of life in women aged 50 years and over: using the Korea National Health and Nutrition Examination Survey (KNHANES) data. J Korean Soc Health Educ Promot 2012; 29(2): 23-32.
23. Sohn S. Factors related to the health related quality of life in elderly women. Korean J Women Health Nurs 2009; 15(2): 99-107.
24. Solli O, Stavem K, Kristiansen IS. Health-related quality of life in diabetes: The associations of complications with EQ-5D scores. Health Qual Life Outcomes 2010; 8: 18.
25. The Korean Nutrition Society. Dietary reference intakes for Koreans. Seoul: The Korean Nutrition Society; 2010. p. 578-583.

Table 1

EQ_5D and EQ_VAS of subjects according to general characteristics

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Mean ± SE

2) Compared with elementary school level

3) Adjusted per capita income (monthly household income/vnumber of household members) grouped by gender and ages (5years span)

4) Compared with low income level

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Table 2

EQ_5D and EQ_VAS of subjects according to health habits

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Age, educational level, income level (male)-, age, educational level, income level, number of family members (female)-adjusted Mean ± SE

2) < 1 glass/month

3) ≥ 20 min/day, ≥ 3 days/week

4) ≥ 30 min/day, ≥ 5 days/week

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Table 3

EQ_5D and EQ_VAS of subjects according to mental health

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Age, educational level, income level (male)-, age, educational level, income level, number of family members (female)-adjusted Mean ± SE

2) Compared with very good level

3) Continuous melancholy for over 2 weeks

^*: p < 0.05, ^***: p < 0.001

Table 4

EQ_5D and EQ_VAS of subjects according to chronic disease

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) BMI < 18.5

2) Age, educational level, income level (male)-, age, educational level, income level, number of family members (female)-adjusted Mean ± SE

3) BMI ≥ 25

4) Compared with normal

5) Waist circumference ≥ 90 cm (M); 85 cm (F)

6) 140 > Systolic blood pressure ≥ 130 mmHg or 90 > diastolic blood pressure ≥ 85 mmHg

7) Systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg or drug

8) Total cholesterol ≥ 240 mg/dl or drug

9) TG ≥ 200 mg/dl

10) Hemoglobin < 13 g/dl (M);12 g/dl (F)

11) 100 mg/dl ≤ Fasting blood glucose ≤ 125 mg/dl

12) Fasting blood glucose ≥ 125 mg/dl or drug or insulin

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Table 5

EQ_5D and EQ_VAS of subjects according to nutrient intake status

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Age, educational level, income level-(male), age, educational level, income level, number of family members (female)-adjusted Mean ± SE

^*: p < 0.05, ^**: p < 0.01

Table 6

Prediction of EQ_5D and EQ_VAS of subjects using linear regression model

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale, New independent variables introduced in case of ΔR² ≥ 0.005

^**: p < 0.01, ^***: p < 0.001

Figure & Data

REFERENCES

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The Factors Influencing Health-Related Quality of Life in the Elderly: Focused on the General Characteristics, Health Habits, Mental Health, Chronic Diseases, and Nutrient Intake Status: Data from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V), 2010~2012

Korean J Community Nutr. 2014;19(5):479-489. Published online October 31, 2014

DOI: https://doi.org/10.5720/kjcn.2014.19.5.479

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Table 1

EQ_5D and EQ_VAS of subjects according to general characteristics

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Mean ± SE

2) Compared with elementary school level

3) Adjusted per capita income (monthly household income/vnumber of household members) grouped by gender and ages (5years span)

4) Compared with low income level

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Table 2

EQ_5D and EQ_VAS of subjects according to health habits

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Age, educational level, income level (male)-, age, educational level, income level, number of family members (female)-adjusted Mean ± SE

2) < 1 glass/month

3) ≥ 20 min/day, ≥ 3 days/week

4) ≥ 30 min/day, ≥ 5 days/week

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Table 3

EQ_5D and EQ_VAS of subjects according to mental health

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Age, educational level, income level (male)-, age, educational level, income level, number of family members (female)-adjusted Mean ± SE

2) Compared with very good level

3) Continuous melancholy for over 2 weeks

^*: p < 0.05, ^***: p < 0.001

Table 4

EQ_5D and EQ_VAS of subjects according to chronic disease

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) BMI < 18.5

2) Age, educational level, income level (male)-, age, educational level, income level, number of family members (female)-adjusted Mean ± SE

3) BMI ≥ 25

4) Compared with normal

5) Waist circumference ≥ 90 cm (M); 85 cm (F)

6) 140 > Systolic blood pressure ≥ 130 mmHg or 90 > diastolic blood pressure ≥ 85 mmHg

7) Systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg or drug

8) Total cholesterol ≥ 240 mg/dl or drug

9) TG ≥ 200 mg/dl

10) Hemoglobin < 13 g/dl (M);12 g/dl (F)

11) 100 mg/dl ≤ Fasting blood glucose ≤ 125 mg/dl

12) Fasting blood glucose ≥ 125 mg/dl or drug or insulin

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Table 5

EQ_5D and EQ_VAS of subjects according to nutrient intake status

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Age, educational level, income level-(male), age, educational level, income level, number of family members (female)-adjusted Mean ± SE

^*: p < 0.05, ^**: p < 0.01

Table 6

Prediction of EQ_5D and EQ_VAS of subjects using linear regression model

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale, New independent variables introduced in case of ΔR² ≥ 0.005

^**: p < 0.01, ^***: p < 0.001

Table 1 EQ_5D and EQ_VAS of subjects according to general characteristics

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Mean ± SE

2) Compared with elementary school level

3) Adjusted per capita income (monthly household income/vnumber of household members) grouped by gender and ages (5years span)

4) Compared with low income level

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Table 2 EQ_5D and EQ_VAS of subjects according to health habits

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Age, educational level, income level (male)-, age, educational level, income level, number of family members (female)-adjusted Mean ± SE

2) < 1 glass/month

3) ≥ 20 min/day, ≥ 3 days/week

4) ≥ 30 min/day, ≥ 5 days/week

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Table 3 EQ_5D and EQ_VAS of subjects according to mental health

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Age, educational level, income level (male)-, age, educational level, income level, number of family members (female)-adjusted Mean ± SE

2) Compared with very good level

3) Continuous melancholy for over 2 weeks

^*: p < 0.05, ^***: p < 0.001

Table 4 EQ_5D and EQ_VAS of subjects according to chronic disease

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) BMI < 18.5

2) Age, educational level, income level (male)-, age, educational level, income level, number of family members (female)-adjusted Mean ± SE

3) BMI ≥ 25

4) Compared with normal

5) Waist circumference ≥ 90 cm (M); 85 cm (F)

6) 140 > Systolic blood pressure ≥ 130 mmHg or 90 > diastolic blood pressure ≥ 85 mmHg

7) Systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg or drug

8) Total cholesterol ≥ 240 mg/dl or drug

9) TG ≥ 200 mg/dl

10) Hemoglobin < 13 g/dl (M);12 g/dl (F)

11) 100 mg/dl ≤ Fasting blood glucose ≤ 125 mg/dl

12) Fasting blood glucose ≥ 125 mg/dl or drug or insulin

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Table 5 EQ_5D and EQ_VAS of subjects according to nutrient intake status

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale

1) Age, educational level, income level-(male), age, educational level, income level, number of family members (female)-adjusted Mean ± SE

^*: p < 0.05, ^**: p < 0.01

Table 6 Prediction of EQ_5D and EQ_VAS of subjects using linear regression model

EQ_5D is EuroQol 5 Dimension health-related quality of life, and EQ_VAS is EuroQol visual analogue scale, New independent variables introduced in case of ΔR² ≥ 0.005