Literature DB >> 26311930

The relationship between fracture and quality of life in Korean adults receiving treatment for osteoporosis based on the 2010 Korean Community Health Survey.

Ki-Jong Kim1, Hyun-Ju Jun1, Han-Shin Jeong2, Dae-Jung Jeon3, Sung-Ha Ji4.   

Abstract

[Purpose] The purpose of this study was to investigate the relationship between fracture and quality of life in Korean adults receiving treatment for osteoporosis based on the 2010 Korean Community Health Survey (KCHS).
[Subjects and Methods] This study utilized the raw data of the 2010 KCHS. In the survey, osteoporosis was assessed in 228,903 subjects, excluding 326 for whom there was insufficient data. There were 17,387 subjects with osteoporosis confirmed by a doctor's diagnosis and 9,419 of them were being treated for osteoporosis at the time of the survey.
[Results] Among the patients being treated, those with fractures had a significantly lower QOL than patients who did not experience fractures. The lower QOL scores were caused by hip, vertebral and wrist fractures, and in all cases, QOL was significantly lower. Greater numbers of fractures significantly lowered QOL scores compared to participants without fractures.
[Conclusion] Fractures in patients receiving treatment for osteoporosis have a direct impact on QOL. Among the different types of fractures, hip fractures resulted in the lowest scores. Therefore, to avoid additional fractures caused by inappropriate management of osteoporosis, we suggest that there is a need to improve fall related self-efficacy and prevention programs.

Entities:  

Keywords:  Korean Community Health Survey; Oseteoporosis; Quality of life

Year:  2015        PMID: 26311930      PMCID: PMC4540822          DOI: 10.1589/jpts.27.2083

Source DB:  PubMed          Journal:  J Phys Ther Sci        ISSN: 0915-5287


INTRODUCTION

Osteoporosis is the most common non-infectious metabolic disease that causes disability and diminished quality of life1,2,3,4). Characteristics of osteoporosis include decreased bone mass and bone change, and women are four times more likely than men to develop osteoporosis5, 6). In addition, among non-infectious diseases osteoporosis is ranked as an important health issue by the World Health Organization7). The most common treatment method is to use drug therapy to prevent osteoporosis, which may increase bone density and reduce fracture risk, but can be expensive. It has long been established that these treatments are effective. However, diagnosed patients are not being actively managed over the long term8). Therefore, consideration of the various interventions and the surrounding environment is required for patients with osteoporosis. For several decades, orthopedic surgeons have focused on the quality of surgery and early mobilization of fracture patients. However, after satisfactory surgery, many patients still have long-term disability, and the mortality rate is 14–36% after one year9, 10). In patients with hip joint fractures, this is only 15%, with treatment for osteoporosis11). When considering these points, we need to evaluate the fractures of patients receiving treatment for osteoporosis. The treatment of osteoporosis, according to a study by Makridis et al.11) is an important predictor of quality of life (QOL). Many hip fracture patients die within a year, and 30% have reduced activity of daily living as compared with before fracture12). Numerous high-quality studies have addressed the incidence of new fractures after medical treatments for patients with osteoporosis. Nevertheless, given the fact that these new fractures are closely associated with osteoporosis, the role of medical treatment for osteoporosis as a predictor of clinical outcomes and QOL is not clearly understood9). The Korean Community Health Survey (KCHS) is a nationwide health survey carried out by the Korea Centers for Disease Control and Prevention to evaluate regional health and medical plans, as well as to understand the personal lifestyles and health behaviors of adults aged 19 years and over13, 14). The survey has been conducted annually since 2008, and stroke, myocardial infarction, arthritis, and osteoporosis are among the items investigated15). The relationship between osteoporosis and fractures has been the subject of many research studies. However, only a few studies have investigated patients receiving treatment for osteoporosis. In addition, complex challenges still exist concerning the epidemiology, prevention and QOL of osteoporosis. Therefore, the purpose of this study was to investigate the relationship between patients receiving treatment for osteoporosis and QOL using the KCHS.

SUBJECTS AND METHODS

This study utilized the raw data in the 2010 KCHS which surveyed a total of 260 items, including health type, health examination, immunizations, morbidity, health care utilization, accident, activity limitations, QOL, health institutions, etc. The KCHS is a partnership of the Korea Centers for Disease Control and Prevention, 16 cities and provinces, 253 health centers, and 36 universities. It is supported by an operating committee, specialized subcommittees, and an administration office. Trained surveyors visited households selected in the sample and conduct one-on-one electronic surveys using a computer notebook loaded with a survey program. The completed survey data is transmitted to a central server daily. The 2010 survey took place from August 16, 2010 to October 31, 2010. The Korea Centers for Disease Control and Prevention conducted phone checks through third-party institutions to verify the data of 5% of the survey subjects13, 15,16,17). Osteoporosis was assessed for 228,903 subjects, excluding 326 for whom there was insufficient data. There were 17,387 subjects with osteoporosis confirmed by a doctor’s diagnosis and 9,419 were being treated for osteoporosis at the time of the survey. The protocol of the KCHS was reviewed and approved by the institutional review board of the Korea Centers for Disease Control and Prevention (2010-02CON-22-P). Written informed consent was obtained from all participants in the KCHS. The general characteristics of the subjects are presented in Table 1.
Table 1.

Characteristics of the subjects with osteoporosis

Parameters n*%†Parametersn*%†
Total osteoporosisGender
Yes 173875.0Male5755.8
No21151695.0Female884494.2
FractureResidential area
Yes 345236.0Urban349868.1
No574564.0Rural592131.9
Receiving treatment for osteoporosisAge
Yes 941949.119–64244332.2
No795850.965 ≤697667.8
Number of fracturesPhysical activity‡
0574564.0Yes 441847.6
1231425.6No500152.4
27567.3Living with family
33823.2No (alone)251420.5
Fracture siteYes690579.4
HipEducational level
Yes 159815.7Elementary school or less753569.6
No760384.3Middle school86312.0
VertebralHigh school and over100618.4
Yes 231922.9Monthly household income (10,000 won)
No688677.1≤100541252.5
Wrist101–200147718.7
Yes 106611.1201–30078011.9
No813888.9≥30196416.9

* n: sample size. †%: estimated percent of the population. ‡: Physical activity: above more than moderate levels of physical activities activity (strenuous physical activity more than three times a week, strenuous physical activity for more than 20 minutes a day or moderate levels of physical activity more than five times a week, strenuous physical activity for more than 30 minutes per time), or walking activities for more than 30 minutes five times a week or over 30 minutes per time

* n: sample size. †%: estimated percent of the population. ‡: Physical activity: above more than moderate levels of physical activities activity (strenuous physical activity more than three times a week, strenuous physical activity for more than 20 minutes a day or moderate levels of physical activity more than five times a week, strenuous physical activity for more than 30 minutes per time), or walking activities for more than 30 minutes five times a week or over 30 minutes per time The relationships between osteoporosis fracture occurrence and QOL were investigated in patients receiving treatment for osteoporosis and the fracture sites were the hip, vertebra, and wrist. QOL measurements were performed using the EQ-5D evaluation tool developed by the EuroQol group. The subjects were instructed to respond to five items on mobility, self-care, usual activity, pain/discomfort, and anxiety/depression and rate the items as not a problem, a minor problem, or a serious problem using a 3-point Likert scale. The EQ-5D was calculated using the following equation. EQ-5D = 1 − (0.05 + 0.096*M2 + 0.418*M3 + 0.046*SC2 + 0.136*SC3 + 0.051*UA2 + 0.208*UA3 + 0.037*PD2+ 0.151*PD3 + 0.043*AD2 + 0.158*AD3 + 0.05*N3) The collected data were analyzed using IBM SPSS Statistics 21.0 and a complex sampling design. Individual weights were applied to the population estimates. A frequency analysis was performed to determine the distribution of the subjects. Presence or absence of fracture and the fracture sites were compared with average QOL using a simple linear regression analysis. To identify the correlation between the number of fractures and QOL, multiple linear regression analysis was performed controlling for gender, age, education level, living with family, monthly household income, residential area, and physical activity, using a significance level of α = 0.05.

RESULTS

Among the patients being treated for osteoporosis, those with fractures had a significantly lower QOL (0.736±0.004 points) than the patients without fractures (0.805±0.002 points) (p<0.001). The lower QOL scores were caused by hip (0.704±0.007 points), vertebral (0.726±0.005 points), and wrist (0.754±0.007 points) fractures, and in all cases, QOL was significantly lower (p<0.001) (Table 2). Participants with one (B=−0.030, p<0.001), two (B=−0.089, p<0.001), and three (B=−0.087, p<0.001) fractures had significantly lower QOL scores than participants without fractures (Table 3).
Table 2.

Associations of factors of patients being treated for osteoporosis and quality of life

M±SD
Fracture occurrence (/No)0.805±0.002
Yes 0.736±0.004*
Fracture site
Hip (/No fracture)0.794±0.002
Yes 0.704±0.007*
Vertebral (/No fracture)0.796±0.002
Yes 0.726±0.005*
Wrist (/No fracture)0.783±0.002
Yes 0.754±0.007*

*p≤0.05. Tested by simple linear regression

Table 3.

Results of multiple regression analysis of the number of fractures and quality of life

R2BSE
Number of fracture (/0)
10.156−0.0300.005*
2−0.0890.008*
3−0.0870.014*

*p≤0.05, adjusted for gender, age, educational level, living with family, monthly household income, residential area, physical activity

*p≤0.05. Tested by simple linear regression *p≤0.05, adjusted for gender, age, educational level, living with family, monthly household income, residential area, physical activity

DISCUSSION

According to our findings, 3,452 patients being treated for osteoporosis (36%) had experienced a fracture, and their QOL was significantly lower than that of the patients who had no experience of fracture. According to Makridis et al.11) the mortality rate after hip joint surgery is 23.6% at two years, and they suggested that even if a patient is being treated for osteoporosis, intervention is needed, such as balance training or education, to prevent fracture. QOL was significantly lower in the patients who had suffered a hip fracture as compared to the patients who had not. In the present study, the EQ-5D score was 0.704 for hip joint fractures, 0.726 for spine fractures, and 0.754 for wrist fractures. Therefore, the QOL scores of hip joint fracture patients were lower than those of patients who had suffered spine and wrist fractures. Wiles et al.18) reported that multidisciplinary postoperative intervention programs can enhance patient performance and functional movement after hip fracture surgery. It is therefore important for there to be weight-bearing and ambulation as soon as it can be tolerated in order to improve the QOL of patients with hip fractures. According to the study of Bliuc et al.19), when women show bone loss of greater than 1.31% a year, or men show bone loss of more than 1.35%, the mortality rate increases by 44–77%. Thus, vertebral fractures can severely affect osteoporosis patients. In this study, QOL was significantly lower in patients who had suffered vertebral fractures compared with those with no history of fracture. In addition, fractures of the spine in patients being treated for osteoporosis occurred in 2,319 people (22.9%). This is higher than the number of hip joint fractures (1,598 people, 15.7%) and the number of wrist fractures (1,066 people, 11.1%). Therefore, continuous national attention is needed to reduce the incidence of vertebral fractures and to develop fall prevention programs. About 70–80% of wrist fractures are associated with osteoporosis, and they occur frequently20,21,22,23). In addition, wrist fractures have greater implications because they are sentinel events which often precede fractures of the spine and hip joint in the next 10 to 20 years24,25,26). In the present study, QOL was lower for patients who had experienced a wrist fracture. In order to avoid larger fractures in different parts of the body in the future, it will be necessary to increase awareness and fall-related self-efficacy for subjects with fractures of the wrist joint27). Among the subjects being treated for osteoporosis, 2,314 (25.6%) had experienced a single fracture, 756 patients (7.3%) had two fractures, and 382 people (3.2%) had three. When multiple fractures are present the QOL is even poorer. In another study, osteoporotic vertebral fractures were found to have occurred in 1,549 (31.79%) patients in a survey of 5,000 women over 45 years of age28). Among them, 528 (34.08%) had simple fractures, and 1,021 had multiple fractures (65.92%). We think the reason for the difference in these findings is due to the limitations of the prior study regarding the age of the person and type of fracture. A limitation of this study was that it did not analyze differences between urban and rural environments and it was not geographically divided. Analyzing these issues in future studies could be complementary. In conclusion, fractures in patients receiving treatment for osteoporosis have a direct impact on QOL. Among the different types of fractures, hip fractures resulted in the lowest QOL scores. To prevent additional fractures caused by inappropriate management of osteoporosis, we suggest that there is a need to improve fall related self-efficacy and prevention programs.
  23 in total

1.  Nottingham Hip Fracture Score as a predictor of one year mortality in patients undergoing surgical repair of fractured neck of femur.

Authors:  M D Wiles; C G Moran; O Sahota; I K Moppett
Journal:  Br J Anaesth       Date:  2011-01-28       Impact factor: 9.166

Review 2.  Epidemiology of hip fractures.

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Journal:  Epidemiol Rev       Date:  1997       Impact factor: 6.222

3.  A controlled trial to increase detection and treatment of osteoporosis in older patients with a wrist fracture.

Authors:  Sumit R Majumdar; Brian H Rowe; Deb Folk; Jeffrey A Johnson; Brian H Holroyd; Donald W Morrish; Walter P Maksymowych; Ivan P Steiner; Charles H Harley; Brian J Wirzba; David A Hanley; Sandra Blitz; Anthony S Russell
Journal:  Ann Intern Med       Date:  2004-09-07       Impact factor: 25.391

4.  Fracture of the distal forearm as a forecaster of subsequent hip fracture: a population-based cohort study with 24 years of follow-up.

Authors:  H Mallmin; S Ljunghall; I Persson; T Naessén; U B Krusemo; R Bergström
Journal:  Calcif Tissue Int       Date:  1993-04       Impact factor: 4.333

5.  Colles' fracture of the wrist as an indicator of underlying osteoporosis in postmenopausal women: a prospective study of bone mineral density and bone turnover rate.

Authors:  S A Earnshaw; S A Cawte; A Worley; D J Hosking
Journal:  Osteoporos Int       Date:  1998       Impact factor: 4.507

6.  Austrian Osteoporosis Report: epidemiology, lifestyle factors, public health strategies.

Authors:  Thomas Dorner; Elisabeth Weichselbaum; Kitty Lawrence; K Viktoria Stein; Anita Rieder
Journal:  Wien Med Wochenschr       Date:  2009-05

7.  Effect of distributing an evidence-based guideline for prevention of osteoporosis on health education programs in municipal health centers: a randomized controlled trial.

Authors:  Yoshimi Nakatani; Junko Tamaki; Misa Komatsu; Masayuki Iki; Etsuko Kajita
Journal:  J Epidemiol       Date:  2011-12-31       Impact factor: 3.211

8.  The relationship between stroke patients' socio-economic conditions and their quality of life: the 2010 Korean community health survey.

Authors:  Hyun-Ju Jun; Ki-Jong Kim; In-Ae Chun; Ok-Kon Moon
Journal:  J Phys Ther Sci       Date:  2015-03-31

Review 9.  Osteoporosis - a current view of pharmacological prevention and treatment.

Authors:  Subhajit Das; Julie C Crockett
Journal:  Drug Des Devel Ther       Date:  2013-05-31       Impact factor: 4.162

Review 10.  The relationship between stroke and quality of life in Korean adults: based on the 2010 Korean community health survey.

Authors:  Ki-Jong Kim; Myoung Heo; In-Ae Chun; Hyun-Ju Jun; Jin-Su Lee; Hyuk Jegal; Young-Sik Yang
Journal:  J Phys Ther Sci       Date:  2015-01-09
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