Skip Navigation

Japanese Journal of Clinical Oncology 2004 34(7):393-399; doi:10.1093/jjco/hyh070
This Article
Right arrow Abstract Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (4)
Right arrow Request Permissions
Google Scholar
Right arrow Articles by Lee, E.-H.
Right arrow Articles by Lee, H.-J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lee, E.-H.
Right arrow Articles by Lee, H.-J.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2004 Foundation for Promotion of Cancer Research

Validation of the Functional Assessment of Cancer Therapy-General (FACT-G) Scale for Measuring the Health-related Quality of Life in Korean Women with Breast Cancer

Eun-Hyun Lee1, Mison Chun2, Seunghee Kang2 and Hye-Jin Lee3,+

1 Department of Preventive Medicine and Public Health, School of Medicine, Ajou University, 2 Department of Radiation Oncology, Ajou University Hospital and 3 College of Nursing, Yonsei University, Suwon, Korea


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 Acknowledgment
 REFERENCES
 
Background: The Functional Assessment of Cancer Therapy-General (FACT-G) scale, which was developed and validated in the USA, is widely used to measure the health-related quality of life in cancer patients. The purpose of the present study was to empirically validate the FACT-G scale with Korean breast cancer patients.

Methods: A convenience sample of 193 women with breast cancer was recruited from a university hospital. The subjects were asked to complete the Korean version of the FACT-G scale. The data were analyzed using exploratory factor analysis with varimax rotation to determine factor construct validity. The loading criterion was set at 0.40 and above, inter-subscale correlations were computed using Pearson correlation, and the reliability of the internal consistency for the total scale and its subscales were assessed by Cronbach’s alpha.

Results: The factor structure of the Korean version of the FACT-G scale paralleled that of the English version: the physical, social/family, emotional, and functional well-being subscales were constructively valid in Korean breast cancer patients. However, there is the possibility of culture-specific differences in the social/family well-being subscale, and some problematic translations were revealed. Cronbach’s alpha for the total scale was 0.89 and that for the subscales ranged from 0.78 to 0.90.

Conclusion: The Korean version of the FACT-G scale was demonstrated as reliable and valid. Therefore, the scale can be used in research and clinical settings to assess the quality of life of Korean breast cancer patients.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 Acknowledgment
 REFERENCES
 
The incidence of breast cancer is increasing dramatically among Korean women. According to the Korea Central Cancer Registry (1), it was estimated that 31.4 per 100 000 people were diagnosed with breast cancer in 2002, which is three times higher than the figure of 10.9 per 100 000 in 1989. Breast cancer is now the most common type of cancer in Korean women.

Women diagnosed with breast cancer undergo multimodality treatments that combine surgery, radiation and/or chemotherapy based upon the stage of the disease. Clinical evaluations of outcomes of cancer treatments have traditionally included objective tumor response and survival (2). More recently, the subjective measurement of health-related quality of life (HRQOL) was acknowledged as important to determining the outcome of cancer treatments (3,4).

Lee et al. (5) selected and analyzed all 31 studies published in South Korea over the last 15 years on the cancer-related quality of life from Korean research databases. Many of the questionnaires used to measure the HRQOL were reportedly unreliable or invalid, threatening the internal validity of the findings of the studies. In addition, there have been only two studies conducted for breast cancer patients, both of which indicated that there are reliability and validity problems in measuring the quality of life. Therefore, a reliable and valid questionnaire assessing HRQOL is required for evaluating the outcome of treatments in Korean breast cancer patients.

The Functional Assessment of Cancer Therapy-General (FACT-G) scale, which was developed and validated by Cella et al. (6) in the USA, is widely used to measure HRQOL in cancer patients. The FACT-G has been translated into other languages, including Korean, using translation and back-translation procedures (7). However, it is unclear whether or not the Korean version is valid with Korean cancer patients. Thus, the purpose of the present study was to empirically validate the Korean version of the FACT-G scale with Korean women with breast cancer.


    SUBJECTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 Acknowledgment
 REFERENCES
 
The Korean version of the FACT-G scale was validated using two steps: pretest and test of reliability and validity from March 2002 through November 2003.

Step I: Pretest
The FACT-G scale was developed for adult patients with cancer at mixed sites, and evidence of its reliability and validity has been reported (6,7). Several changes were made to the scale in 1997: deletions of a subscale and items, and changes to item numbering, scoring and wording. Examples of the changes in item wording are ‘I am proud of how I am coping with my illness’ into ‘I am satisfied with how I am coping with my illness’, ‘I feel distance from my friends’ into ‘I feel close to my illness’, ‘I get support from my friends and neighbors’ into ‘I get support from my friends’ and ‘Family communication about my illness is poor’ into ‘I am satisfied with family communication about my illness’ (7).

The latest version 4 consists of a total of 27 Likert-type items formulated into separate subscales: physical (seven items), emotional (six items), social/family (seven items) and functional (seven items) well-being (Table 1). Subjects are asked to respond to each item with a score of 0–4, where 0 = not at all, 1 = a little bit, 2 = somewhat, 3 = quite a bit and 4 = very much. A higher score indicates a higher level of HRQOL.


View this table:
[in this window]
[in a new window]
 
Table 1. Abbreviated descriptions of the subscales of the FACT-G scale
 
The present study used the Korean version of version 4 of the FACT-G scale. To identify any problems with patients’ comprehension of the Korean version, the scale was pretested with a convenience sample of 20 Korean breast cancer patients at a university hospital. All participants were asked to complete the FACT-G scale, and were interviewed to determine whether or not they had problems understanding the questions. Then a panel consisting of two oncology physicians, one oncology nurse and one nursing professional, all of whom were bilingual, reviewed the information obtained during patients’ interviews.

Step II: Test of Reliability and Validity
Sample and Procedures
A sample was assembled in a university hospital in Suwon, South Korea, after obtaining the approval of an institutional review board. Inclusion criteria for the subjects were women diagnosed with breast cancer aged over 18 years with no psychiatric problems and articulate in Korean. Potential participants were identified by the provider nurses or physicians at the outpatient clinics. Those who wished to participate were met in a small private room while waiting to be seen by their physicians. During the contact, the purpose of the study and nature of participation were outlined by a PhD candidate in nursing. If a patient articulated an understanding of the study and agreed to participate, the patient was asked to sign a consent form and then complete the FACT-G questionnaire. Of the women who met the inclusion criteria, 86% agreed to participate and signed the consent form.

Data Analysis
The Statistical Package for the Social Sciences (SPSS) was used to analyze the data. Descriptive statistics were calculated to describe the characteristics of the participants and the scores of each item of the FACT-G scale. The Kaiser–Meyer–Olkin (KMO) test and Bartlett’s test of sphericity were performed to justify the suitability of data for a factor analysis (8,9). Factor construct validity was tested using an exploratory factor analysis with varimax rotation. The loading criterion was set at 0.40 and above (10). Inter-subscale correlations were tested using Pearson’s correlation. A coefficient of correlation less than r = 0.40 indicated that the subscales were meaningfully independent (11). The reliability of internal consistency for the total and subscales were assessed by Cronbach’s alpha, which was expected to be >0.70 as recommended by Nunnally and Burnstein (10).


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 Acknowledgment
 REFERENCES
 
Step I: Pretesting
The ages of the participants ranged from 29 to 69 years, with a mean age of 48.05 years. Eighty-five percent of the participants (n = 17) were married. Seventy-five percent (n = 15) had graduated from high school, and the remainder had graduated from elementary school. All patients were receiving chemotherapy or radiation therapy. Thirty percent of the participants had stage I breast cancer, 40% had stage II and 30% had stage III.

There were some problems in the participants’ comprehension of the Korean version of the FACT-G scale. When responding to GP6 (‘I am forced to spend time in bed’), five women answered that they were uncertain how to respond because they had no bed at their houses. Six women stated that GE2 (‘I am satisfied with how I am coping with my illness’) was difficult to understand, especially the word ‘coping’. Four women stated that GS4 (‘My family has accepted my illness’) was unclear and three women stated that GF4 (‘I accepted my illness’) was unclear.

A panel reviewed all the items of the English and Korean versions of the FACT-G and the information from the patient interviews. Although comprehension problems were experienced with other items, the panel decided to modify only GP6. Most Koreans use a Korean style of bedding called a Yeeboochalee, which comprises a mattress spread directly on the floor of a living room, instead of a Western style of a bed – this is a clearly distinguishable difference in style between the two cultures. Thus, item GP6 was revised to ‘I spend time lying in a room’ so as to maintain semantic equivalence and avoid the expression of a culturally different bedding style. The other three items were kept without changes. However, even though it did not emerge as a comprehension problem, the panel additionally adapted GP2 because the item was translated into a Korean word meaning ‘vomiting’ rather than one meaning ‘nausea’ as used in the English version.

Step II: Test of Reliability and Validity
The mean age of the women was 46.01 years (SD = 9.27 years; range = 27–75 years). They were predominantly married (91.2%) and living together with a husband and/or child(ren) (87.1%). One hundred and twenty-seven women (65.8%) had graduated from high school. Women with a monthly income of KRW1 000 000–1 999 999 (US$833–1666) represented 26.4% of the cohort. Most of the women had stage I or II disease (84.4%) and 84 women (43.5%) were currently receiving treatment (Table 2).


View this table:
[in this window]
[in a new window]
 
Table 2. Characteristics of participants (n = 193)
 
Descriptive statistics of all 27 items are presented in Table 3. More than 50% of participants answered at the highest response category 4 (very much) in items GP2, GP5, GP7, GE1 and GE3. The mode and median scores for the five items were both 4, and the means were high at 3.25–3.74. Standard deviations of the five items were narrow, at 0.57–0.96. These characteristics appear to reveal a ceiling effect in the items.


View this table:
[in this window]
[in a new window]
 
Table 3. Percentage distributions of the response categories, and central tendency and standard deviations of item scores
 
The value of KMO’s measure of sampling adequacy was 0.87, which is meritorious for a factor analysis (8). Bartlett’s test of sphericity revealed a {chi}2 value of 2463.77 (P = 0.00). Thus, the obtained data were suitable for a factor analysis. As the result of an exploratory factor analysis, a five-factor solution was extracted using the criterion of an eigenvalue greater than one. These five factors explained 60.33% of the total variance. The loadings of items on the extracted factors are listed in Table 4.


View this table:
[in this window]
[in a new window]
 
Table 4. Rotated factor analysis of the Korean version of the FACT-G scale
 
All the items of the functional and physical well-being subscales on the English version (6) were significantly loaded on factors 1 and 3, respectively, in the current study and Cronbach’s alpha of factors 1 and 3 were 0.90 and 0.82, respectively. However, the items on the social/family well-being subscale of the English version (6) were separately loaded into factors 2 and 5 in the present study. Of the seven items of the social/family well-being subscale, five items were significantly loaded on factor 2, for which Cronbach’s alpha was 0.86. The remaining two items, GS1 (I feel close to my friends) and GS3 (I get support from my friends), significantly loaded on factor 5, and its Cronbach’s alpha was 0.70, which is borderline for the criterion of internal consistency of reliability (10). If factors are correlated at 0.40 or higher, the possibility of collapsing the factors may be considered. However, the decision to collapse factors is based upon the levels of reliability of the uncollapsed factors and the conceptual meaningfulness of such collapsing (11). That is, if the factors are reliable and clearly meaningful, the collapsing is optional. In this study, the correlation coefficient between factors 2 and 5 was 0.43 (P = 0.01), which was the highest between factor 2 and other factors. Even though Cronbach’s alpha of factor 5 was at the borderline value of 0.70, the content of the two items loaded on factor 5 clearly reflected social aspects of well-being. Thus, factor 5 was collapsed to factor 2 in this study and Cronbach’s alpha of the collapsed factor was 0.84. On the emotional well-being subscale, all items on the English version except GE2 (I am satisfied with how I am coping with my illness) significantly loaded on factor 4 in the current study. Cronbach’s alpha of the factor, when the GE2 was included, was 0.66. However, when the item was deleted, Cronbach’s alpha of factor 4 increased to 0.78. This increase in Cronbach’s alpha implies that the item is heterogeneous (12) with the emotional well-being subscale in Korean patients. The GE2 also failed to load meaningfully on any factor in the present study. Cronbach’s alpha of all 26 items (excluding GE2) was 0.89, indicating good internal consistency of reliability.

Table 5 shows the inter-subscale correlations. The highest correlation was observed between the physical and emotional well-being subscales, and between the social/family and functional well-being subscales, but these correlations were modest (r = 0.55). The other correlations were <0.40, indicating that they were meaningfully independent.


View this table:
[in this window]
[in a new window]
 
Table 5. Inter-subscale correlations
 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 Acknowledgment
 REFERENCES
 
The present study demonstrates that the FACT-G scale exhibits the psychometric properties of factor construct validity and internal consistency reliability when applied to Korean women with breast cancer. A factor analysis provides a way to assess the factor construct validity to indicate whether a questionnaire, such as the FACT-G, is conceptually equivalent when applied in other populations (13). In the present study, five factors extracted from the exploratory factor analysis generally paralleled those of the physical, social/family, emotional, and functional well-being subscales reported by Cella (7). Therefore, the FACT-G can be considered to be a conceptually cross-cultural equivalent questionnaire for Korean women with breast cancer.

However, three items on factor loadings were problematic. The item GE2 (I am satisfied with how I am coping with my illness) did not load significantly on any other factor (including factor 4: emotional well-being subscale) in the present study. This may be explained as follows. In the pretest of the present study, participants reported GE2 as being difficult to understand, especially the term ‘coping’. The translated Korean term for coping (pronounced ‘daecheo’ in Korean) is closer to an academic terminology commonly used in medicine, nursing and psychology than to everyday language. According to the Scientific and Technological Terminology published by the Korean Academy of Science and Technology (14), the Korean term for coping was registered as a health-related scientific terminology. Considering that 34.2% of participants in Step II of the present study had not graduated from high school, it is conjectured that incomprehension would be a problem for many participants. This might contribute to measurement error (13), resulting in no significant factor loading for the item. Thus, it was considered that the item should be changed into an easily comprehensible Korean term.

Another possible reason is that GE2 was a heterogeneous item for Korean women with breast cancer. In a similar vein, in validation studies (Table 6) of the FACT-G (version 3) with Japanese lung cancer patients (15) and Chinese mixed-type cancer patients (16), the item did not meaningfully load onto the emotional well-being subscale, unlike the loading with American cancer patients reported by Cella et al. (6). These empirical findings are suggestive of a cultural difference between Western and Asian cancer patients, which should be investigated further.


View this table:
[in this window]
[in a new window]
 
Table 6. Comparisons of the aim, subjects, used FACT-G, and factor analysis of the validation studies of the FACT-G
 
On the factor loadings (Table 4), GS1 (I feel close to my friends) and GS3 (I get support from my friends) were initially loaded on factor 5 separately from factor 2 (the social/family well-being subscale on the English version). The separated loadings of GS1 and GS3 were about support from friends and relationship with friends. Korean breast cancer patients have a tendency to conceal their disease from others, such as friends or neighbors, by avoiding contact with them (17). In other words, Korean cancer patients tend to keep themselves in social isolation. This tendency may make the two friend-related items separately loaded from factor 2.

The remaining items on factor 2 were about family or interpersonal relationships with the family: GS2 (I get emotional support from my family), GS4 (My family accepted my illness), GS5 (I am satisfied with family communication about my illness), GS6 (I feel close to my partner) and GS7 (I am satisfied with my sexual life). According to Tae (18), Korean cancer patients are strongly family-oriented, and they try to connect the meaning of their lives into their family since the Koreans are basically dominated by Confucian ideals of respecting kinship (19). Based upon this family-oriented perspective, Korean cancer patients may perceive family aspects differently from friends-related well-being.

Considering the separated pattern of the social/family well-being subscale in this study, it is conjectured that the subscale of the FACT-G is independently separable into social well-being and family well-being subscales in Korean patients with breast cancer, even though factors 2 and 5 were collapsed in this study. Similar findings have been reported by others. In a study with Japanese cancer patients using version 3 of the FACT-G scale, the items ‘I feel distance from my friends’ and ‘I get support from my friends and neighbors’ did not load on the social/family well-being subscale since Japanese patients consider family members more important than others such as friends and neighbors (15). In studies with Chinese (16) and American rural (20) cancer patients, the item ‘I feel distance from my friends’ also did not load on the social/family well-being subscale. Future studies should investigate whether or not the construct of the social/family well-being subscale is divisible depending upon different populations with different cultures or places of residence.

The inter-subscale correlations in this study demonstrated that there was modest relationship between the physical and emotional well-being subscales in Korean breast cancer patients. The same has also been reported for Japanese lung cancer patients (15) while a weak relationship has been reported for American lung cancer patients (21). This may be attributable to an Asian-specific characteristic, in that Asians tend to share more commonality of the physical and emotional aspects of HRQOL.

In the current study the relationship between functional and social/family well-being subscales was also modest, which may be due to the demographic characteristics of participants. The incidence of breast cancer is highest in those aged 40–45 years (1). Reflecting this, most participants in this study were in their 40s. They comprised housewives with a living husband, child(ren) and/or others such as parents-in-law. In other words, they are expected to play multiple roles as wife, mother, daughter-in-law and independent person, thereby performing daily activities such as housework, bringing up child(ren) and supporting parents-in-law. However, many of them were in the early stage of disease and not receiving treatment, implying that they were relatively independent from the disease and its treatment in performing such daily activities and roles. Thus, the participants’ functional status was relatively favorable so that they could perform their roles for others and continue a relatively gratifying relationship with their families and friends. It is therefore conjectured that there is moderate correlation between the functional and social/family well-being subscales.

The internal consistencies of the total scale and subscales of the Korean version of the FACT-G were over the Cronbach’s alpha cutoff value of 0.70. Cronbach’s alpha for the total score in this study was the same as in the study (using version 3 of the FACT-G) by Cella et al. (6) and similar to a study (using version 4) with American cancer patients undergoing chemotherapy (Cronbach’ alpha = 0.87) (22). Cronbach’s alpha values for subscales in the present study were 0.78–0.90, which are higher than those reported in studies with American cancer patients (0.69–0.82) (6) and Japanese lung cancer patients (0.55–0.81) (14).

The distribution of response categories (Table 4) reveals a possible ceiling effect in the physical and emotional well-being subscales. This may be attributable to about half of the participants not receiving treatment, so that they experienced lower levels of side effects and hence exhibited a higher level of emotional well-being. Another possible reason for the ceiling effect is in the translation of the response categories. According to a Korean dictionary (23), ‘quite a bit’ translates into ‘a little bit more than average’ in Korean. However, ‘very much’ was translated into the meaning of ‘much’ (sangdanghee in Korean) in the Korean version of the FACT-G. The Korean word sangdanghee originates from a Chinese word (with the same pronunciation) that was translated into ‘quite a bit’ in the responses of the Chinese version of the FACT-G (16). Therefore, the response category of ‘very much’ on the Korean version may not encapsulate the participant’s maximum score of the items of the physical and emotional well-being subscales. We therefore recommend modifying the response category ‘very much’ in the Korean version of the FACT-G.

Overall, the Korean version of the FACT-G scale represents a reliable and valid measure of the HRQOL of Korean women with breast cancer, and hence can be used in clinical practice. However, there are possible culture-specific differences in the social/family well-being subscale, and some problematic translations are present. Future studies should test the psychometric properties of the scale, including its test–retest reliability and convergent/divergent validity to increase confidence in the findings of the present study.


    Acknowledgment
 TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 Acknowledgment
 REFERENCES
 
This study was supported by the National Mid- and Long-term Atomic Energy R&D Program of the Minister of Science and Technology in Korea.


    FOOTNOTES
 
+ For reprints and all correspondence: Eun-Hyun Lee, Ajou University, School of Medicine, Department of Preventive Medicine and Public Health, San 5, Wonchon-Dong, Yeongton-Gu, Suwon 443-721, Korea. E-mail: ehlee{at}ajou.ac.kr Back


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 Acknowledgment
 REFERENCES
 
1 Korea Central Cancer Registry. Annual reports of the Korea central cancer registry 2002. Goyang, Korea: Korean National Cancer Institute 2003 (in Korean).

2 Fayers PM, Machin D. Quality of life: Assessment, analysis and interpretation. Chichester, UK: John Wiley and Son 2000; 3–27.

3 Grant MM, Rivera LM. Evolution of quality of life in oncology nursing and oncology nursing. In King CR, Hinds PS, editors. Quality of Life. MA: Jones and Bartlett 1998; 3–22.

4 Patrick DL, Chiang Y-P. Measurement of health outcomes in treatment effectiveness evaluations. Med Care 2000;38(Suppl II):SII14–25.

5 Lee E-H, Park HB, Kim MW, Park H-B, Lee WH, Lee HJ, et al. Analyses of the studies on cancer-related quality of life published in Korea. J Korean Therapeutic Radio Oncol 2002;20:359–69 (in Korean).

6 Cella DF, Tulsky DS, Gray G, Sarafian B, Bonomi A, Silberman, et al. The Functional Assessment of Cancer Therapy scale: development and validation of the general measure. J Clinic Oncol 1993;11:570–9.[Abstract/Free Full Text]

7 Cella DF. Manual of the Functional Assessment of Chronic Illness Therapy measurement system (version 4). Northwestern: CORE Evanston Northwestern Healthcare and Northwestern University 1997.

8 Kaiser HF. An index of factorial simplicity. Psychometrika 1974;39:31–6.[CrossRef]

9 Tabachnick BG, Fidell LS. Using Multivariate Statistics, 3rd edition. New York: Harper Collins 1996; 635–708.

10 Nunnally J, Bernstein I. Psychometric Theory, 3rd edition. New York: McGraw-Hill 1994.

11 Gable RK. Instrument development in the affective domain. Boston: Kluwer-Nijhoff 1986; 84–120.

12 Berzon RA. Understanding and using health-related quality of life instruments within clinical research studies. In Staquet MJ, Hays RD, Fayers PM, editors. Quality of life assessment in clinical trials. New York, NY: Oxford University Press 1999; 3–15.

13 Pett MA, Lackey NR, Sullivan J. Making sense of factor analysis: The use of factor analysis for instrument development in health care research. CA: Sage 2003; 1–12.

14 Korean Academy of Science and Technology. Scientific and Technological Terminology. Seoul, Korea: Korean Academy of Science and Technology 1998; 327 (in Korean).

15 Fumimoto H, Kobayashi K, Chang C-H, Eremenco S, Fujiki Y, Uemura S, et al. Cross-cultural validation of an international questionnaire, the general measure of the functional assessment of cancer therapy scale (FACT-G), for Japanese. Qual Life Res 2001;10:701–9.[CrossRef][Web of Science][Medline]

16 Yu CLM, Fielding R, Chan CLW, Tse VKC, Choi PHK, Lau WH, et al. Measuring quality of life of Chinese cancer patients: A validation of the Chinese version of the functional assessment of cancer therapy-General (FACT-G) scale. Cancer 2000;88:1715–27.[CrossRef][Web of Science][Medline]

17 Jung BY. A study on the process of adjustment in patients with breast cancer. Seoul, Korea: Yonsei University 1997 (in Korean).

18 Tae YS. Hope phenomenon of Korean cancer patients. Seoul, Korea: Ewha Womans University 1994; 54 (in Korean).

19 Kim TG. A study on values of Korean. Seoul, Korea: Manumsa 1982; 97 (in Korean).

20 Winstead-Fry P, Schultz A. Psychometric analysis of the functional assessment of cancer therapy-general (FACT-G) scale in a rural sample. Cancer 1997;79:2446–52.[CrossRef][Web of Science][Medline]

21 Cella DF, Bonomi AE, Lloyd SR, Tulsky DS, Kaplan E, Bonomi P. Reliability and validity of the Functional Assessment of Cancer Therapy-Lung (FACT-L) quality of life instrument. Lung Cancer 1995;12:199–220.[CrossRef][Web of Science][Medline]

22 Magnan MA, Mood DW. The effects of health state, hemoglobin, global symptom distress, mood disturbance, and treatment site on fatigue onset, duration, and distress in patients receiving radiation therapy. Oncol Nurs Forum 2003;30:33–9.

23 Kim MS, Ko YK, Yim HB, Lee SJ. Dictionary of Korean, 7th edition. Seoul, Korea: Kumsung 1995; 254 (in Korean).

Received February 17, 2004; accepted April 19, 2004


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?



This Article
Right arrow Abstract Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (4)
Right arrow Request Permissions
Google Scholar
Right arrow Articles by Lee, E.-H.
Right arrow Articles by Lee, H.-J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lee, E.-H.
Right arrow Articles by Lee, H.-J.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?