Skip Navigation
Skip to contents

RCPHN : Research in Community and Public Health Nursing

OPEN ACCESS
SEARCH
Search
Advanced Search
mobile menu button

Articles

Page Path
HOME > J Korean Acad Community Health Nurs > Volume 27(4); 2016 > Article
Original Article
Factors Influencing Health-related Quality of Life of Young Adults and Elderly with Multimorbiditiy: A Secondary Analysis of the 2013 Korea Health Panel Data
Seunyoung Joe, Insook Lee, Bohyun Park
Journal of Korean Academy of Community Health Nursing 2016;27(4):358-369.
DOI: https://doi.org/10.12799/jkachn.2016.27.4.358
Published online: December 31, 2016

1Korea Armed Forces Nursing Academy, Daejeon, Korea.

2Department of Nursing, Changwon National University, Changwon, Korea.

• Received: June 3, 2016   • Revised: November 16, 2016   • Accepted: December 5, 2016

© 2016 Korean Academy of Community Health Nursing

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.

prev next
  • 1,176 Views
  • 7 Download
  • 12 Crossref
Full Article

Download PDF Download PDF

  • Purpose
    This study was to identify health-related quality of life of Korean young adults and elderly with multimorbidity and to examine factors influencing their health-related quality of life.
  • Methods
    Health-related quality of life was measured by the Korean version of the EQ-5D. Using a descriptive study, the study incorporated a secondary analysis of the Korean version of the EQ-5D data from the 8th wave of the Korea Health Panel Survey in 2013. Selected demographic data and the Korean version of the EQ-5D were analyzed using χ2-test, t-test, ANOVA and multiple regression analysis.
  • Results
    Education, drinking, type of health insurance, and number of chronic disease significantly affected the health-related quality of life in the young adults with multimorbidity. Educational level, occupational type, drinking, physical activity, number of chronic disease, unmet healthcare need and the type of multimorbidity significantly affected the health-related quality of life in the elderly with multimorbidity.
  • Conclusion
    The factors influencing health-related quality of life were different for young adults versus elderly with multimorbidity. Therefore, there is a need for age-specific health care programs that may improve health-related quality of life of adults with multimorbidity.
  • Key Words: Multimorbidity; Chronic disease; Quality of life; Young adults; Elderly
Table 1

Combinations of Multimorbidity (N=1,006)

Combination of multimorbidity Total Young and middle-aged adults Older adults
1st Disease 2nd Disease 3rd Disease n (%) n (%) n (%)
Hypertension Diabetes Hyperlipidemia 263 (26.1) 63 (33.2) 200 (24.5)
Hypertension Diabetes Arthritis 178 (17.7) 14 (7.4) 164 (20.1)
Hypertension Hyperlipidemia Arthritis 173 (17.2) 28 (14.7) 145 (17.8)
Hypertension Arthritis Lumbar pain 34 (3.4) 2 (1.1) 32 (3.9)
Hypertension Hyperlipidemia Angina 33 (3.3) 10 (5.3) 23 (2.8)
Hypertension Arthritis Angina 29 (2.9) 1 (0.5) 28 (3.4)
Hypertension Arthritis Osteoporosis 28 (2.8) 1 (0.5) 27 (3.3)
Hypertension Diabetes Angina 25 (2.5) 9 (4.7) 16 (2.0)
Hypertension Arthritis Disc herniation 24 (2.4) 6 (3.2) 18 (2.2)
Diabetes Hyperlipidemia Arthritis 21 (2.1) 9 (4.7) 12 (1.5)
Hypertension Hyperlipidemia Crebral infarction 18 (1.8) 5 (2.6) 13 (1.6)
Hypertension Diabetes Stroke 17 (1.7) 1 (0.5) 16 (2.0)
Hypertension Arthritis Stroke 15 (1.5) 0 (0.0) 15 (1.8)
Hypertension Diabetes Lumbar pain 13 (1.3) 1 (0.5) 12 (1.5)
Hypertension Hyperlipidemia Spinal stenosis 13 (1.3) 5 (2.6) 8 (1.0)
Hypertension Diabetes Crebral infarction 12 (1.2) 2 (1.1) 10 (1.2)
Hypertension Diabetes Disc herniation 12 (1.2) 3 (1.6) 9 (1.1)
Hypertension Hyperlipidemia Gout 12 (1.2) 5 (2.6) 7 (0.9)
Hypertension Hyperlipidemia Disc herniation 12 (1.2) 8 (4.2) 4 (0.5)
Hypertension Hyperlipidemia Osteoporosis 12 (1.2) 1 (0.5) 11 (1.3)
Hypertension Arthritis Crebral infarction 12 (1.2) 3 (1.6) 9 (1.1)
Hypertension Hyperlipidemia Allergic rhinitis 10 (1.0) 8 (4.2) 2 (0.2)
Hypertension Hyperlipidemia Rheumatoid arthritis 10 (1.0) 2 (1.1) 8 (1.0)
Hypertension Arthritis Ischemic heart disease 10 (1.0) 0 (0.0) 10 (1.2)
Hypertension Arthritis Spinal stenosis 10 (1.0) 0 (0.0) 10 (1.2)
Hypertension Arthritis Frozen shoulder 10 (1.0) 3 (1.6) 7 (0.9)
Total 1,006 (100.0) 190 (100.0) 816 (100.0)
Table 2

General and Medical related Characteristics of Participants (N=1,006)†

Characteristics Categories Total (N=1,006) Young and middle-aged adults (N=190) Older adults (N=816)
n (%) or M±SD n (%) or M±SD n (%) or M±SD
Age (year) 71.99±8.87 58.00±5.24 75.25±5.86
Gender Male 289 (28.7) 73 (38.4) 216 (26.5)
Female 717 (71.3) 117 (61.6) 600 (73.5)
Educational level ≤Middle school 743 (73.9) 98 (51.6) 645 (79.0)
High school 186 (18.5) 61 (32.1) 125 (15.3)
≥Bachelors 77 (7.7) 31 (16.3) 46 (5.6)
Annual income of household (million won) 27.03±31.73 43.29±52.40 23.25±23.00
1 quintile (bottom 20%) 374 (37.2) 33 (17.4) 341 (41.8)
2 quintile (20~40%) 245 (24.4) 31 (16.3) 214 (26.2)
3 quintile (40~60%) 175 (17.4) 44 (23.2) 131 (16.1)
4 quintile (60~80%) 123 (12.2) 46 (24.2) 77 (9.4)
5 quintile (above 80%) 88 (8.8) 36 (18.9) 52 (6.4)
Religion Seoul 136 (13.5) 29 (15.3) 107 (13.1)
Metropolitan city 249 (24.8) 49 (25.8) 200 (24.5)
Province 621 (61.7) 112 (58.9) 509 (62.4)
Occupational type Unemployed 681 (67.7) 75 (39.5) 606 (74.3)
Paid worker 141 (14.0) 73 (38.4) 68 (8.3)
Businessman, self-employed 118 (11.7) 29 (15.3) 89 (10.9)
Unpaid family worker 66 (6.6) 13 (6.8) 53 (6.5)
Smoking Never smoke 704 (71.5) 123 (66.1) 581 (72.8)
Former smoker/current nonsmoker 182 (18.5) 34 (18.3) 148 (18.5)
Current smoker 98 (10.0) 29 (15.6) 69 (8.6)
Drinking Non drinker 590 (60.0) 71 (38.2) 519 (65.0)
Moderate drinker 293 (29.8) 67 (36.0) 226 (28.3)
Heavy drinker 101 (10.3) 48 (25.8) 53 (6.6)
Moderate physical activity <3 times a week 721 (73.3) 119 (64.0) 602 (75.4)
≥3 times a week 263 (26.7) 67 (36.0) 196 (24.6)
Type of health insurance National health insurance 911 (90.6) 171 (90.0) 740 (90.7)
Medical care assistance 95 (9.4) 19 (10.0) 76 (9.3)
Number of chronic disease 5.75±2.29 5.03±2.12 5.92±2.30
3~6 692 (68.8) 153 (80.5) 539 (66.1)
7~9 242 (24.1) 29 (15.3) 213 (26.1)
≥10 72 (7.2) 8 (4.2) 64 (7.8)
Type of multimorbidity Not included musculoskeletal condition 378 (37.6) 98 (51.6) 280 (34.3)
Included musculoskeletal condition 628 (62.4) 92 (48.4) 536 (65.7)
Unmet healthcare needs Unmet healthcare needs 217 (22.1) 44 (23.7) 173 (21.7)
Not unmet healthcare needs 767 (77.9) 142 (76.3) 625 (78.3)

† Missing data excluded.

Table 3

Health-related Quality of Life by General and Medical related Characteristics of Participants (N=1,006)†

Characteristics Young and middle-aged adults (N=190) Older adults (N=816)
M±SD t or F (p) M±SD t or F (p)
HRQOL 0.87±0.12 0.84±0.12 3.30‡ (.001)
Gender Male 0.87±0.15 −0.27 (.791) 0.88±0.09 6.99 (<.001)
Female 0.87±0.09 0.82±0.13
Educational level ≤Middle schoola 0.87±0.11 4.21 (.016)
a, b<c		 0.83±0.12 11.75 (<.001)
a<b, c
High schoolb 0.85±0.15 0.87±0.10
≥Bachelorsc 0.92±0.05 0.88±0.09
Annual income of household (million won) 1 quintile (bottom 20%)a 0.80±0.14 4.59 (.001)
a<e		 0.82±0.13 2.97 (.019)
a<d
2 quintile (20~40%)b 0.88±0.12 0.84±0.12
3 quintile (40~60%)c 0.88±0.08 0.85±0.12
4 quintile (60~80%)d 0.86±0.14 0.86±0.11
5 quintile (above 80%)e 0.92±0.05 0.86±0.11
Religion Seoul 0.88±0.08 0.24 (.789) 0.85±0.11 0.90 (.408)
Metropolitan city 0.87±0.11 0.83±0.13
Province 0.87±0.13 0.84±0.12
Occupational type Unemployeda 0.84±0.16 2.20 (.090) 0.82±0.13 10.98 (<.001)
a<b, c
b>d
Paid workerb 0.89±0.08 0.89±0.07
Businessman, self-employedc 0.89±0.08 0.88±0.09
Unpaid family workerd 0.88±0.10 0.85±0.09
Smoking Never smokea 0.88±0.09 1.18 (.311) 0.83±0.13 5.83 (.003)
a<b
Former smoker/current nonsmokerb 0.85±0.18 0.86±0.10
Current smokerc 0.85±0.13 0.85±0.11
Drinking Non drinkera 0.85±0.14 2.59 (.078) 0.82±0.13 16.45 (<.001)
a<b, c
Moderate drinkerb 0.88±0.11 0.86±0.09
Heavy drinkerc 0.89±0.09 0.89±0.08
Moderate physical activity <3 times a week 0.86±0.13 −2.17 (.031) 0.83±0.13 −5.65 (<.001)
≥3 times a week 0.89±0.08 0.87±0.09
Type of health insurance National health insurance 0.88±0.11 2.69 (.015) 0.84±0.12 3.34 (.001)
Medical care assistance 0.77±0.16 0.79±0.11
Number of chronic disease 3~6a 0.89±0.11 9.50 (<.001)
a>b>c		 0.85±0.10 30.45 (<.001)
a>b>c
7~9b 0.82±0.14 0.82±0.12
≥10c 0.75±0.11 0.74±0.20
Type of multimorbidity Not included musculoskeletal condition 0.86±0.14 −1.05 (.297) 0.86±0.13 3.68 (<.001)
Included musculoskeletal condition 0.88±0.08 0.83±0.12
Unmet healthcare needs Unmet healthcare needs 0.86±0.13 −0.90 (.369) 0.79±0.13 −6.33 (<.001)
Not unmet healthcare needs 0.88±0.11 0.85±0.11

HRQOL=health-related quality of life; †Missing data excluded; ‡Result of indepent t-test between young and middle-aged, and older adult.

Table 4

Factors influencing HRQOL of Participants (N=1,006)†

Variables Model 1 Model 2
Young and middle-aged adults (n=190) Older adults (n=816)
B t p B t p
Female (Male=0) 0.01 0.42 .676 −0.02 −1.23 .220
Education (Below middle school=0)
 High school 0.00 −0.14 .888 0.03 2.68 .008
≥Bachelors 0.07 2.58 .011 0.03 1.53 .126
Annual income of household (million won) 0.35 0.21 .831 −0.30 −0.16 .873
Occupational type (Paid worker=0)
 Unemployed 0.00 −0.21 .830 −0.04 −2.72 .007
 Businessman/self-employed 0.01 0.48 .633 −0.01 −0.66 .507
 Unpaid family worker −0.02 −0.45 .657 −0.02 −1.00 .320
Smoking (Never smoke=0)
 Former smoker/current nonsmoker −0.05 −1.66 .100 −0.01 −0.39 .694
 Current smoker −0.07 −2.19 .030 −0.01 −0.69 .488
Drinking (Non drinker=0)
 Moderate drinker 0.02 1.01 .314 0.03 3.07 .002
 Heavy drinker 0.05 2.04 .043 0.02 1.01 .315
Moderate physical activity (<3 times a week=0)
 More than 3 times a week 0.02 0.91 .362 0.02 2.45 .015
Type of health insurance (NHI=0)
 Medical care assistance −0.04 −1.35 .180 −0.01 −0.71 .476
Number of chronic disease −0.01 −3.66 <.001 −0.01 −6.35 <.001
Type of multimorbidity (NMC=0)
 Included musculoskeletal condition 0.01 0.56 .575 −0.03 −3.08 .002
Unmet healthcare needs (Yes=0)
 Not unmet healthcare needs 0.01 0.31 .754 0.05 5.15 <.001
R2=.24, Adj. R2=.17, F=3.30, p<.001 R2=.19, Adj. R2=.17, F=11.33, p<.001

NHI=national health insurance; NMC=not included musculoskeletal condition; †Missing data excluded.

Dependent variable : health-related quality of life (EQ-5D index)

Note. Predictors : (constant), gender, educational level, annual income of household (million won), occupational type, smoking, drinking, moderate physical activity, type of health insurance, number of chronic disease, type of multimorbidity, unmet healthcare needs.

This research is financially supported by Changwon National University in 2015~2016.

  • 1. Organization for Economic Cooperation and Development. Health reform: Meeting the challenge of ageing and multiple morbidities. Paris: Organization for Economic Cooperation and Development; 2011. p. 226.
  • 2. Kim CH, Hwang I, Yoo WS. The common patterns of multimorbidity and its impact on healthcare cost in Korea. Health Policy Manag. 2014;24(3):219–227. Article
  • 3. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380(9836):37–43. ArticlePubMed
  • 4. Lehnert T, Heider D, Leicht H, Heinrich S, Corrieri S, Luppa M, et al. Review: Health care utilization and costs of elderly persons with multiple chronic conditions. Med Care Res Rev. 2011;68(4):387–420. ArticlePubMedPDF
  • 5. Starfield B, Lemke KW, Herbert R, Pavlovich WD, Anderson G. Comorbidity and the use of primary care and specialist care in the elderly. Ann Fam Med. 2005;3(3):215–222. ArticlePubMedPMC
  • 6. van Oostrom SH, Picavet HS, de Bruin SR, Stirbu I, Korevaar JC, Schellevis FG, et al. Multimorbidity of chronic diseases and health care utilization in general practice. BMC Fam Pract. 2014;15:61ArticlePubMedPMCPDF
  • 7. Nam SK, Shim OS. A study on the influence factors on quality of life of elderly with chronic disease. J Welf Aged. 2011;53:196–216.
  • 8. Chung ES, Park MJ. Factor influencing unmet medical need of elders with chronic disease In: The 3rd Korea Health Panel Conference; 2011 December 1; Seoul Foundation of Women and Family. Seoul: Korea Health Panel; 2011;522.
  • 9. Park S. Associations with physical activity, chronic disease, depression, and health-related quality of life. Korean J Sport Sci. 2014;25(2):249–258. Article
  • 10. Jung YH. A report on the health related quality of life in Korea. Health Welf Policy Forum. 2011;182:6–14.
  • 11. van den Bussche H, Koller D, Kolonko T, Hansen H, Wegscheider K, Glaeske G, et al. Which chronic diseases and disease combinations are specific to multimorbidity in the elderly? Results of a claims data based cross-sectional study in Germany. BMC public health. 2011;11:101ArticlePubMedPMCPDF
  • 12. Goodman RA, Posner SF, Huang ES, Parekh AK, Koh HK. Defining and measuring chronic conditions: Imperatives for research, policy, program, and practice. Prev Chronic Dis. 2013;10:E66ArticlePubMedPMC
  • 13. Ferrans CE, Zerwic JJ, Wilbur JE, Larson JL. Conceptual model of health-related quality of life. J Nurs Scholarsh. 2005;37(4):336–342. ArticlePubMed
  • 14. Korea Health Panel. Survey design: Sampling [Internet] Seoul: Korea Health Panel; 2015;cited 2016 May 17. Available from: http://www.khp.re.kr:444/ver_2/02_josa/josa01.jsp
  • 15. Lee SH, Yang SO. The effects of chronic musculoskeletal pain and depression on health-related quality of life by gender in community-dwelling older adults. J Korean Acad Community Health Nurs. 2010;21(1):21–30. Article
  • 16. Nam HS, Kim KY, Kwon SS, Ko KW, Kind P. EQ-5D Korean valuation study using time trade of method. Research Report. Cheongju: Korea Centers for Disease Control and Prevention; 2007.
  • 17. Fortin M, Lapointe L, Hudon C, Vanasse A, Ntetu A, Maltais D. Multimorbidity and quality of life in primary care: A systematic review. Health Qual Life Outcomes. 2004;2:51ArticlePubMedPMC
  • 18. Lim JH. Analysis of unmet medical need status based on the Korean health panel. Health Soc Sci. 2013;34:237–256.
  • 19. Kim KS, Lee HO. Household catastrophic health expenditure and unmet needs depending on the types of health care system. Soc Welf Policy. 2012;39(4):255–279. Article
  • 20. Joung EO, Kwon SB, Ahn OH. Coping with experiences in multiple chronic diseases in the rural elderly. J Korean Acad Community Health Nurs. 2007;18(1):32–41.

Figure & Data

References

    Citations

    Citations to this article as recorded by  
    • Factors associated with quality of life in patients with benign prostatic hyperplasia, 2009–2016
      Sewon Park, Kyu-Sung Lee, Mankyu Choi, Munjae Lee
      Medicine.2022; 101(36): e30091.     CrossRef
    • Analysis of multiple chronic disease characteristics in South Koreans by age groups using association rules analysis
      Eul Hee Roh
      Health Informatics Journal.2022;[Epub]     CrossRef
    • Experience and response to a randomised controlled trial of extended-release injectable buprenorphine versus sublingual tablet buprenorphine and oral liquid methadone for opioid use disorder: protocol for a mixed-methods evaluation
      Natalie Lowry, Fiona Cowden, Edward Day, Eilish Gilvarry, Stacey Johnstone, Robbie Murray, Mike Kelleher, Luke Mitcheson, John Marsden
      BMJ Open.2022; 12(10): e067194.     CrossRef
    • Factors Affecting Health-Related Quality of Life in Multimorbidity
      Eunmi Lee, Sunkyung Cha, Geun Myun Kim
      Healthcare.2021; 9(3): 334.     CrossRef
    • Effects of Living Alone and Sedentary Behavior on Quality of Life in Patients With Multimorbidities: A Secondary Analysis of Cross-Sectional Survey Data Obtained From the National Community Database
      Young Eun AHN, Chin Kang KOH
      Journal of Nursing Research.2021; 29(5): e173.     CrossRef
    • Effects of healthcare interventions on psychosocial factors of patients with multimorbidity: A systematic review and meta-analysis
      Hyun-Ju Lee, Misoon Lee, Jae-Hyun Ha, Yeongsuk Lee, Jungmi Yun
      Archives of Gerontology and Geriatrics.2020; 91: 104241.     CrossRef
    • Analysis of the Types and Affecting Factors of Older People's Health-related Quality of Life, Using Latent Class Analysis
      Sun-Hee Jang, Dong-Moon Yeum
      Journal of Korean Academy of Community Health Nursing.2020; 31(2): 212.     CrossRef
    • Quality of Life in Older Adults with Benign Prostatic Hyperplasia
      Sewon Park, Jeong-min Ryu, Munjae Lee
      Healthcare.2020; 8(2): 158.     CrossRef
    • Health-related quality of life in South Korean community-dwelling older adults with multimorbidity: a convergent parallel mixed-methods approach
      Hyun-Ju Lee, Jungmi Yun
      Quality of Life Research.2020; 29(3): 721.     CrossRef
    • Latent Class Analysis for Health-Related Quality of Life in the Middle-Aged Male in South Korea
      Youngsuk Cho, Dong Moon Yeum
      Journal of Korean Academy of Nursing.2019; 49(1): 104.     CrossRef
    • Femoral Intertrochanteric Fractures of the Patients in the Emergency Department due to Minor Falls: Special Consideration in the Middle-old to Oldest-old Patients
      Jung Min Jang, Han Sung Choi, Jong Seok Lee, Ki Young Jeong, Hoon Pyo Hong, Seok Hoon Ko
      Annals of Geriatric Medicine and Research.2019; 23(3): 125.     CrossRef
    • Quality of Life of Patients with Post-Stroke Speech-Language Disorders
      Yun Kyung Hwang, Yunji Hwang, Soo Ryon Kim
      Audiology and Speech Research.2018; 14(4): 292.     CrossRef

    • PubReader PubReader
    • Cite
      CITE
      export Copy
      Close
    • XML DownloadXML Download
    We recommend
    Related articles
    Factors Influencing Health-related Quality of Life of Young Adults and Elderly with Multimorbiditiy: A Secondary Analysis of the 2013 Korea Health Panel Data
    Factors Influencing Health-related Quality of Life of Young Adults and Elderly with Multimorbiditiy: A Secondary Analysis of the 2013 Korea Health Panel Data
    Combination of multimorbidity Total Young and middle-aged adults Older adults
    1st Disease 2nd Disease 3rd Disease n (%) n (%) n (%)
    Hypertension Diabetes Hyperlipidemia 263 (26.1) 63 (33.2) 200 (24.5)
    Hypertension Diabetes Arthritis 178 (17.7) 14 (7.4) 164 (20.1)
    Hypertension Hyperlipidemia Arthritis 173 (17.2) 28 (14.7) 145 (17.8)
    Hypertension Arthritis Lumbar pain 34 (3.4) 2 (1.1) 32 (3.9)
    Hypertension Hyperlipidemia Angina 33 (3.3) 10 (5.3) 23 (2.8)
    Hypertension Arthritis Angina 29 (2.9) 1 (0.5) 28 (3.4)
    Hypertension Arthritis Osteoporosis 28 (2.8) 1 (0.5) 27 (3.3)
    Hypertension Diabetes Angina 25 (2.5) 9 (4.7) 16 (2.0)
    Hypertension Arthritis Disc herniation 24 (2.4) 6 (3.2) 18 (2.2)
    Diabetes Hyperlipidemia Arthritis 21 (2.1) 9 (4.7) 12 (1.5)
    Hypertension Hyperlipidemia Crebral infarction 18 (1.8) 5 (2.6) 13 (1.6)
    Hypertension Diabetes Stroke 17 (1.7) 1 (0.5) 16 (2.0)
    Hypertension Arthritis Stroke 15 (1.5) 0 (0.0) 15 (1.8)
    Hypertension Diabetes Lumbar pain 13 (1.3) 1 (0.5) 12 (1.5)
    Hypertension Hyperlipidemia Spinal stenosis 13 (1.3) 5 (2.6) 8 (1.0)
    Hypertension Diabetes Crebral infarction 12 (1.2) 2 (1.1) 10 (1.2)
    Hypertension Diabetes Disc herniation 12 (1.2) 3 (1.6) 9 (1.1)
    Hypertension Hyperlipidemia Gout 12 (1.2) 5 (2.6) 7 (0.9)
    Hypertension Hyperlipidemia Disc herniation 12 (1.2) 8 (4.2) 4 (0.5)
    Hypertension Hyperlipidemia Osteoporosis 12 (1.2) 1 (0.5) 11 (1.3)
    Hypertension Arthritis Crebral infarction 12 (1.2) 3 (1.6) 9 (1.1)
    Hypertension Hyperlipidemia Allergic rhinitis 10 (1.0) 8 (4.2) 2 (0.2)
    Hypertension Hyperlipidemia Rheumatoid arthritis 10 (1.0) 2 (1.1) 8 (1.0)
    Hypertension Arthritis Ischemic heart disease 10 (1.0) 0 (0.0) 10 (1.2)
    Hypertension Arthritis Spinal stenosis 10 (1.0) 0 (0.0) 10 (1.2)
    Hypertension Arthritis Frozen shoulder 10 (1.0) 3 (1.6) 7 (0.9)
    Total 1,006 (100.0) 190 (100.0) 816 (100.0)
    Characteristics Categories Total (N=1,006) Young and middle-aged adults (N=190) Older adults (N=816)
    n (%) or M±SD n (%) or M±SD n (%) or M±SD
    Age (year) 71.99±8.87 58.00±5.24 75.25±5.86
    Gender Male 289 (28.7) 73 (38.4) 216 (26.5)
    Female 717 (71.3) 117 (61.6) 600 (73.5)
    Educational level ≤Middle school 743 (73.9) 98 (51.6) 645 (79.0)
    High school 186 (18.5) 61 (32.1) 125 (15.3)
    ≥Bachelors 77 (7.7) 31 (16.3) 46 (5.6)
    Annual income of household (million won) 27.03±31.73 43.29±52.40 23.25±23.00
    1 quintile (bottom 20%) 374 (37.2) 33 (17.4) 341 (41.8)
    2 quintile (20~40%) 245 (24.4) 31 (16.3) 214 (26.2)
    3 quintile (40~60%) 175 (17.4) 44 (23.2) 131 (16.1)
    4 quintile (60~80%) 123 (12.2) 46 (24.2) 77 (9.4)
    5 quintile (above 80%) 88 (8.8) 36 (18.9) 52 (6.4)
    Religion Seoul 136 (13.5) 29 (15.3) 107 (13.1)
    Metropolitan city 249 (24.8) 49 (25.8) 200 (24.5)
    Province 621 (61.7) 112 (58.9) 509 (62.4)
    Occupational type Unemployed 681 (67.7) 75 (39.5) 606 (74.3)
    Paid worker 141 (14.0) 73 (38.4) 68 (8.3)
    Businessman, self-employed 118 (11.7) 29 (15.3) 89 (10.9)
    Unpaid family worker 66 (6.6) 13 (6.8) 53 (6.5)
    Smoking Never smoke 704 (71.5) 123 (66.1) 581 (72.8)
    Former smoker/current nonsmoker 182 (18.5) 34 (18.3) 148 (18.5)
    Current smoker 98 (10.0) 29 (15.6) 69 (8.6)
    Drinking Non drinker 590 (60.0) 71 (38.2) 519 (65.0)
    Moderate drinker 293 (29.8) 67 (36.0) 226 (28.3)
    Heavy drinker 101 (10.3) 48 (25.8) 53 (6.6)
    Moderate physical activity <3 times a week 721 (73.3) 119 (64.0) 602 (75.4)
    ≥3 times a week 263 (26.7) 67 (36.0) 196 (24.6)
    Type of health insurance National health insurance 911 (90.6) 171 (90.0) 740 (90.7)
    Medical care assistance 95 (9.4) 19 (10.0) 76 (9.3)
    Number of chronic disease 5.75±2.29 5.03±2.12 5.92±2.30
    3~6 692 (68.8) 153 (80.5) 539 (66.1)
    7~9 242 (24.1) 29 (15.3) 213 (26.1)
    ≥10 72 (7.2) 8 (4.2) 64 (7.8)
    Type of multimorbidity Not included musculoskeletal condition 378 (37.6) 98 (51.6) 280 (34.3)
    Included musculoskeletal condition 628 (62.4) 92 (48.4) 536 (65.7)
    Unmet healthcare needs Unmet healthcare needs 217 (22.1) 44 (23.7) 173 (21.7)
    Not unmet healthcare needs 767 (77.9) 142 (76.3) 625 (78.3)
    Characteristics Young and middle-aged adults (N=190) Older adults (N=816)
    M±SD t or F (p) M±SD t or F (p)
    HRQOL 0.87±0.12 0.84±0.12 3.30‡ (.001)
    Gender Male 0.87±0.15 −0.27 (.791) 0.88±0.09 6.99 (<.001)
    Female 0.87±0.09 0.82±0.13
    Educational level ≤Middle schoola 0.87±0.11 4.21 (.016)
    a, b<c    		 0.83±0.12 11.75 (<.001)
    a<b, c
    High schoolb 0.85±0.15 0.87±0.10
    ≥Bachelorsc 0.92±0.05 0.88±0.09
    Annual income of household (million won) 1 quintile (bottom 20%)a 0.80±0.14 4.59 (.001)
    a<e    		 0.82±0.13 2.97 (.019)
    a<d
    2 quintile (20~40%)b 0.88±0.12 0.84±0.12
    3 quintile (40~60%)c 0.88±0.08 0.85±0.12
    4 quintile (60~80%)d 0.86±0.14 0.86±0.11
    5 quintile (above 80%)e 0.92±0.05 0.86±0.11
    Religion Seoul 0.88±0.08 0.24 (.789) 0.85±0.11 0.90 (.408)
    Metropolitan city 0.87±0.11 0.83±0.13
    Province 0.87±0.13 0.84±0.12
    Occupational type Unemployeda 0.84±0.16 2.20 (.090) 0.82±0.13 10.98 (<.001)
    a<b, c
    b>d
    Paid workerb 0.89±0.08 0.89±0.07
    Businessman, self-employedc 0.89±0.08 0.88±0.09
    Unpaid family workerd 0.88±0.10 0.85±0.09
    Smoking Never smokea 0.88±0.09 1.18 (.311) 0.83±0.13 5.83 (.003)
    a<b
    Former smoker/current nonsmokerb 0.85±0.18 0.86±0.10
    Current smokerc 0.85±0.13 0.85±0.11
    Drinking Non drinkera 0.85±0.14 2.59 (.078) 0.82±0.13 16.45 (<.001)
    a<b, c
    Moderate drinkerb 0.88±0.11 0.86±0.09
    Heavy drinkerc 0.89±0.09 0.89±0.08
    Moderate physical activity <3 times a week 0.86±0.13 −2.17 (.031) 0.83±0.13 −5.65 (<.001)
    ≥3 times a week 0.89±0.08 0.87±0.09
    Type of health insurance National health insurance 0.88±0.11 2.69 (.015) 0.84±0.12 3.34 (.001)
    Medical care assistance 0.77±0.16 0.79±0.11
    Number of chronic disease 3~6a 0.89±0.11 9.50 (<.001)
    a>b>c    		 0.85±0.10 30.45 (<.001)
    a>b>c
    7~9b 0.82±0.14 0.82±0.12
    ≥10c 0.75±0.11 0.74±0.20
    Type of multimorbidity Not included musculoskeletal condition 0.86±0.14 −1.05 (.297) 0.86±0.13 3.68 (<.001)
    Included musculoskeletal condition 0.88±0.08 0.83±0.12
    Unmet healthcare needs Unmet healthcare needs 0.86±0.13 −0.90 (.369) 0.79±0.13 −6.33 (<.001)
    Not unmet healthcare needs 0.88±0.11 0.85±0.11
    Variables Model 1 Model 2
    Young and middle-aged adults (n=190) Older adults (n=816)
    B t p B t p
    Female (Male=0) 0.01 0.42 .676 −0.02 −1.23 .220
    Education (Below middle school=0)
     High school 0.00 −0.14 .888 0.03 2.68 .008
    ≥Bachelors 0.07 2.58 .011 0.03 1.53 .126
    Annual income of household (million won) 0.35 0.21 .831 −0.30 −0.16 .873
    Occupational type (Paid worker=0)
     Unemployed 0.00 −0.21 .830 −0.04 −2.72 .007
     Businessman/self-employed 0.01 0.48 .633 −0.01 −0.66 .507
     Unpaid family worker −0.02 −0.45 .657 −0.02 −1.00 .320
    Smoking (Never smoke=0)
     Former smoker/current nonsmoker −0.05 −1.66 .100 −0.01 −0.39 .694
     Current smoker −0.07 −2.19 .030 −0.01 −0.69 .488
    Drinking (Non drinker=0)
     Moderate drinker 0.02 1.01 .314 0.03 3.07 .002
     Heavy drinker 0.05 2.04 .043 0.02 1.01 .315
    Moderate physical activity (<3 times a week=0)
     More than 3 times a week 0.02 0.91 .362 0.02 2.45 .015
    Type of health insurance (NHI=0)
     Medical care assistance −0.04 −1.35 .180 −0.01 −0.71 .476
    Number of chronic disease −0.01 −3.66 <.001 −0.01 −6.35 <.001
    Type of multimorbidity (NMC=0)
     Included musculoskeletal condition 0.01 0.56 .575 −0.03 −3.08 .002
    Unmet healthcare needs (Yes=0)
     Not unmet healthcare needs 0.01 0.31 .754 0.05 5.15 <.001
    R2=.24, Adj. R2=.17, F=3.30, p<.001 R2=.19, Adj. R2=.17, F=11.33, p<.001
    Table 1 Combinations of Multimorbidity (N=1,006)

    Table 2 General and Medical related Characteristics of Participants (N=1,006)†

    † Missing data excluded.

    Table 3 Health-related Quality of Life by General and Medical related Characteristics of Participants (N=1,006)†

    HRQOL=health-related quality of life; †Missing data excluded; ‡Result of indepent t-test between young and middle-aged, and older adult.

    Table 4 Factors influencing HRQOL of Participants (N=1,006)†

    NHI=national health insurance; NMC=not included musculoskeletal condition; †Missing data excluded.

    Dependent variable : health-related quality of life (EQ-5D index)

    Note. Predictors : (constant), gender, educational level, annual income of household (million won), occupational type, smoking, drinking, moderate physical activity, type of health insurance, number of chronic disease, type of multimorbidity, unmet healthcare needs.

    Table 1

    Table 2

    Table 3

    Table 4

    RCPHN : Research in Community and Public Health Nursing
    Editorial Office
    College of Nursing, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
    E-mail: office@rcphn.org

    © Korean Academy of Community Health Nursing.
    TOP