Skip to content

Advertisement

Open Access

Factors associated with health-related quality of life in patients with functional dyspepsia

  • Ibnu Fajariyadi Hantoro1Email author,
  • Ari Fahrial Syam2,
  • Endang Mudjaddid3,
  • Siti Setiati4 and
  • Murdani Abdullah2
Health and Quality of Life Outcomes201816:83

https://doi.org/10.1186/s12955-018-0913-z

Received: 24 October 2017

Accepted: 25 April 2018

Published: 2 May 2018

Abstract

Background

Health-related quality of life (HRQoL) assessment is important for patients with functional dyspepsia. However, no studies have assessed factors associated with HRQoL reduction in such patients in an Asian population. This study aimed to determine the contribution of clinical, psychosocial, and demographic factors to HRQoL in affected patients in Indonesia.

Methods

In a cross-sectional study, we recruited 124 patients in a tertiary hospital with functional dyspepsia according to Rome III criteria. HRQoL was measured using the Medical Outcomes Study Short-Form 36 (SF-36) physical component summary (PCS) and mental component summary (MCS) and compared with 2009 United States population norms. The factors investigated were age, gender, symptom severity, education level, employment status, anxiety, depression, and ethnicity. Factors associated with reduced HRQoL were identified using linear regression analysis.

Results

All domains of HRQoL except vitality were impaired in patients with functional dyspepsia. The mean PCS was 42.3 (SD = 8.4); and the mean MCS was 47.8 (SD = 10). Increasing age (p = 0.002), female gender (p = 0.006), low-to-mid education level (p = 0.015) and greater symptom severity (p < 0.001) were significantly associated with impaired PCS (R2 = 0.36). Female gender (p = 0.047), greater symptom severity (p = 0.002), anxiety (p = 0.001), and depression (p = 0.002 were all significantly associated with an impaired MCS (R2 = 0.41). There were no significant associations between HRQoL and with ethnic group (Javanese/non-Javanese) or employment status.

Conclusions

There was significant HRQoL impairment in these patients with functional dyspepsia in Indonesia. Anxiety, depression, increasing age, female gender, greater symptom severity, and low-to-mid education level were significant factors associated with low HRQoL. 

Trial registration

ClinicalTrials.gov NCT03321383. Registered 18 October 2017 retrospectively registered.

Keywords

Functional dyspepsiaHealth related quality of life

Background

Functional dyspepsia is defined as the presence of symptoms thought to originate in the gastroduodenal region, in the absence of any organic, systemic, or metabolic disease that is likely to explain the symptoms [1]. Dyspepsia symptoms are commonly seen in the community and in clinical practice [2]. The prevalence of functional dyspepsia in Asian populations is 7–20% [3]. Several Asian hospitals have also reported that 50–80% of patients with dyspepsia are found to have functional dyspepsia [2, 4].

HRQOL describes health status based on patients’ perceptions. It consists of physical, psychological, and social function domains [5, 6]. Functional dyspepsia is not associated with increased mortality so HRQoL assessment is important to understand the impact of disease and treatments on patients [79]. Previous studies have demonstrated impaired HRQoL in patients with functional dyspepsia [1016]. Inside factors such as the type of illness, the nature and severity of symptoms, any comorbidities, health knowledge, anxiety, and depression can influence HRQoL. It is also affected by outside factors such as socioeconomic status, social support, culture, demographic and medical care quality and access [17]. Studies in patients with functional dyspepsia have found the contribution of clinical factors such as symptom severity, psychosocial factors such as anxiety, and depression, and demographic factors such as age and gender in decreasing the patients’ HRQoL [10, 1214]. However, studies on factors associated with HRQoL in patients with functional dyspepsia are rare and have been limited to Western populations [10, 1214], eventhough there are differences in clinical and epidemiological characteristics between Asian and Western patients [18]. Previous studies have also not evaluated the relationship between education level and ethnicity on the quality of life of patients with functional dyspepsia.

The objectives of this study were to assess the impact of functional dyspepsia on HRQoL among patients in a tertiary hospital in Indonesia. We also aimed to determine the contribution of clinical, psychosocial, and demographic factors to the HRQoL of such patients.

Methods

Study populations

A cross-sectional study was carried out at the Gastroenterology Clinic Cipto Mangunkusumo Hospital between August 2016 and June 2017. A total of 124 consecutive patients aged 18 years and older with a diagnosis of functional dyspepsia attending for evaluation and treatment were recruited. The diagnosis of functional dyspepsia was based on Rome III criteria [1]. Standardized work-up included an upper gastrointestinal (GI) tract endoscopy and laboratory testing. Patients who had erosion or ulceration on endoscopy, a history of GI tract malignancy, liver and biliary tract disease, diabetes mellitus, chronic kidney disease stage IV–V, or psychiatric disorders were excluded. The study was approved by the Medical Research Ethics Committee, Faculty of Medicine Universitas Indonesia and informed consent was obtained from all participants.

Demographic factors

A separate questionnaire was designed and used to collect demographic characteristics of the participants as covariables. Questions included information on the following variables: age, gender, marital status, education level (primary, secondary, or university), employment status (employed, unemployed) and ethnicity/tribal group. To explore the relationship between demographic variables and HRQoL, we categorized primary and secondary education as low-to-mid education level and university as high education level. Etnicity/tribal categoris were also defined as Javenese or non-Javanese.

Health-related quality of life

This was assessed using Indonesian version of the Medical Outcomes Study 36-item Short-Form Health Survey (SF-36) [19]. The SF-36 is a widely used and validated measure of generic HRQoL in gastroenterology [8, 20]. It includes one scale for each of eight measured health domains: physical functioning, role-physical, bodily pain, general health, vitality, social functioning, role-emotional, and mental health. These eight domains are aggregated into a physical component summary (PCS) and mental component summary (MCS). All health domain scales are scored using norm-based scores ranging from 0 to 100 with higher scores indicating better health. Norm-based scores can be calculated for each of the health domain scales and a component summary based on 2009 adults US population norms. The population norms for all scale scores and component summaries were 50; thus, scores above and below 50 are above and below the average, respectively, found in the 2009 general population in the USA [21].

Anxiety and depression disorders

The Hospital Anxiety and Depression Scale was designed to provide a simple, valid and reliable tool for screening of anxiety/depression in medical practice. This consists of seven questions on anxiety and depression on a 4-point (0–3) response scale [22]. This instrument has been translated and has been shown to be valid and reliable for Indonesian patients [23].

Dyspepsia symptom severity

Symptom severity was assessed by the Short-Form Nepean Dyspepsia Index (NDI), a 10-item questionnaire measuring symptoms and HRQoL in patients with functional dyspepsia. Each item is measured on a 5-point Likert scale ranging from 1 (not at all) to 5 (extremely). A total sum score for each of the five subscales was calculated by adding up the scores for each item (range of total score 10–50, range of each subscale 2–10) with higher scores indicating worse symptom severity [24, 25]. The Indonesian-translated version of the NDI has been validated and shown to be reliable in our population [26].

Statistical analysis

There were no missing data in any of the questionnaires. Categorical data are described as numbers and percentages [n (%)]. Continuous data are presented as the mean (Standard deviation [SD]) or median (range). The variables investigated were age, gender, symptom severity, employment status, anxiety, depression, and ethnicity. All variables were analyzed univariately to determine associations with the PCS and MCS using parametric or nonparametric tests where appropriate. Two different multiple linear regression models were built to identify any independent variables associated with the PCS and MCS. The variables used in the regression analyses were those with p < 0.25 in the univariate analyses. The association was reported using partial r2 values. Tolerance values < 0.1 indicated multicollinearity and were used as a criterion to remove the variable from the model. p < 0.05 was considered statistically significant. All statistical analyses were performed using the Statistical Package for the Social Science (version 21; IBM Corp., Armonk, NY, USA).

Results

Demographic and clinical characteristics

A total of 124 patients with functional dyspepsia with mean age of 47.9 years (SD = 14.4) were evaluated. Eighty-seven patients were female (70.2%) and 37.9% were Javanese. The median NDI score was 22 (range 10–46; Table 1).
Table 1

Demographic and clinical characteristics

Age (years)a

47.9 (14.4)

Female [n (%)]

87 (70.2)

Employment status [n (%)]

 Unemployed

79 (63.7)

 Employed

45 (36.3)

Education level [n (%)]

 Primary and secondary school

70 (56.5)

 University degree

54 (43.5)

Ethnicity [n (%)]

 Javanese

47 (37,9)

 Sundanese

22 (17.7)

 Bataknese

17 (13.7)

 Others

38 (30.7)

NDI scoreb

22 (10–46)

HADS anxiety scoreb

7 (1–16)

HADS depression scoreb

5 (0–13)

SD standard deviation, NDI Nepean Dypepsia Index, HADS Hospital Anxiety and Depression Scale

a Mean (SD)

b Median (range)

Health-related quality of life

All domains of the HRQoL except for vitality were impaired in these patients. The domains with the lowest scores were role-emotional, followed by role-physical. The mean PCS score was 42.3 and the mean MCS score was 47.8 (Table 2).
Table 2

SF-36 individual domains score

Domain

Scores

Physical functioningb

44.2 (23.1–57.5)

Role-physicalb

41.4 (21.2–57.2)

Bodily painb

42.2 (21.7–62)

General healtha

44 (9.4)

Vitalityb

52.6 (31.8–70.4)

Social functioningb

42.3 (17.2–57.3)

Role-emotionalb

38.8 (14.4–56.2)

Mental healthb

48.3 (19.5–64)

Physical component summarya

42.3 (8.4)

Mental component summarya

47.8 (10)

SF-36 short form-36, SD standard deviation

a Mean (SD) based on 2009 US population norms [21]

b Median (range) based on 2009 US population norms [21]

Univariate analysis of associations with HRQoL

Anxiety, female gender, low-to-mid education level, and greater symptom severity were associated with impaired PCS. While impaired MCS was associated with anxiety, depression, and greater symptoms severity. Increased age, ethnicity and employment status were not associated with impaired PCS or MCS (Table 3).
Table 3

Univariate analysis between variables analyzed and Short Form-36 physical and mental component summary

Variable

r

t

p

Physical component summary

 Gender

 

−2.57a

0.011

 Employment status

 

−1.65

0.083

 Education level

 

−2.35b

0.021

 Ethnicity

 

−0.45

0.652

 Age

−0.15

 

0.108

 Symptom severity

−0.43

 

< 0.001

 Anxiety

−0.19

 

0.032

 Depression

−0.16

 

0.075

Mental component summary

 Gender

 

1.29

0.201

 Employment status

 

−1.08

0.281

 Education level

 

−0.27

0.789

 Ethnicity

 

−0.118

0.906

 Age

0.03

 

0.740

 Symptom severity

−0.45

 

< 0.001

 Anxiety

−0.46

 

< 0.001

 Depression

−0.51

 

< 0.001

a Women had lower mean PCS score (41) than men (45.2)

b Patients with primary and secondary education had lower mean PCS score (40.7) than university degrees (44.3)

Multiple linear regression of associations with HRQoL

The PCS score was associated with increasing age (p = 0.002), female gender (p = 0.006), low-to-mid education level (p = 0.015), and greater symtom severity (p < 0.001). The model explain 36% of the variance in PCS. Female gender (p = 0.047), greater symptom severity (p = 0.002), anxiety (p = 0.001), and depression (p = 0.002) were associated with MCS. The model explain 41% of the variance in MCS. Symptom severity made the largest unique contribution (β = 0.52) to the PCS, while anxiety (β = 0.29) was the greatest contributing factor to MCS (Table 4). There was no multicollinearity in the multiple regression model (all tolerances > 0.1).
Table 4

Multiple linear regression betwen predictors variables and Short Form-36 physical and mental component summary

Variable

β

Partial r2

p

R2

Physical component summary

 Age

0.26

0.08

0.002

0.36

 Gender

0.23

0.06

0.006

 

 Education level

0.20

0.05

0.015

 

 Employment status

0.03

0.001

0.701

 

 Symptom severity

0.52

0.24

< 0.001

 

 Anxiety

0.01

< 0.001

0.691

 

 Depression

0.04

0.001

0.913

 

Mental component summary

 Gender

0.15

0.03

0.047

0.41

 Symptom severity

0.25

0.08

0.002

 

 Anxiety

0.29

0.09

0.001

 

 Depression

0.27

0.08

0.002

 

Discussion

Our study confirms previous studies that showed a decrease in the HRQoL in patients with functional dyspepsia [10, 1315]. We also found that functional dyspepsia mainly affected the physical components rather than mental components of HRQoL. This finding is consistent with two reported studies in Western populations [10, 12].

Several studies have reported bodily pain as one of the most disrupted domains in patients with functional dyspepsia [11, 12, 27]. A recent publication by Shetty et al. using the EuroQol Group EQ-5D questionnaire also demonstrated that 308 of 311 patients with functional dyspepsia complained of impairment in the pain dimension [28]. In our study, the bodily pain scale score was the second lowest among the SF-36 physical component domains. Its scale score was almost whole SD value below the general population norms.

Vitality was the only domain with a scale score above the population norms but role-emotional was the lowest scale score domain. These findings suggest that functional dyspepsia may inhibit our patients from performing their work, but do not cause loss of their life enthusiasm and energy. In contrast to our findings, earlier studies in Western population reported decreased vitality domain value to population norms [11, 12]. Aro et al. also reported vitality as the most affected domain in patients with functional dyspepsia [11].

Impaired HRQoL occurs not only in those functional dyspepsia, but also in other functional GI disorders. Gralnek et al. found HRQoL reduction in patients with irritable bowel syndrome (IBS) [29]. Nevertheless, compared with our study, patients with IBS had a more negative impact on mental components. Decreased HRQoL was also demonstrated in patients with gastroesophageal reflux disease (GERD) [30]. However, the overall HRQoL in patients with GERD was better than the patients with functional dyspepsia in our study.

Female patients with functional dyspepsia generally have lower HRQoL mainly in the physical components compared with male patients [31]. These HRQoL differences are not surprising given data from previous studies reporting that female patients tend to complain of symptoms of dyspepsia than male patients [32]. Here, we found that the HRQoL of female patients was worse than among male patients. Multivariate analysis also demonstrated association between gender and SF-36 PCS and MCS results. However, this latter finding differs from previous studies that showed an association of gender only with PCS [10, 13].

Our study confirms a previous study demonstrated an association between increased age and decreased physical components of HRQoL [10]. The increased prevalence of chronic disease in old age is thought to be closely related to this [33]. Our study did not find any association between employment status and HRQoL. However, this finding needs to be interpreted carefully as most (64%) of the patients in this study were unemployed. In contrast to our research, Oudenhove et al. showed a trend between employment status and PCS [12]. A study in patients with inflammatory bowel disease also demonstrated an association between being unemployed patients with worse HRQoL and more severe anxiety and depression symptoms [34].

In this study, symptom severity was associated with both PCS and MCS. These findings are in line with results from previous studies [10, 13]. Talley et al. also reported different impact on HRQoL for different dyspepsia symptoms [10]. Haag et al. further showed differences in HRQoL between patients with postprandial distress syndrome and those with epigastric pain syndrome [13]. In general, anxiety and depression adversely influence the HRQoL in patients with functional GI disorders [35]. Our study confirms previous research finding association between anxiety and depression and the mental components of HRQoL. However, in contrast to our study, Haag et al. also showed the impact of depression on the physical component of HRQoL [14]. The more significant effect of the psychological factor on HRQoL in that study related to more severe symptoms of anxiety and depression than in our research.

Previous studies in patients with asthma and multiple sclerosis reported an association of education level with HRQoL [36, 37]. Our study also found a similar finding, i.e., a lower level of education was associated with a worse HRQoL in these patients with functional dyspepsia. The differences in HRQoL between low-to-mid and high education level patients might be related to a stronger disease awareness and better coping ability with the challenges of better chronic diseases among patients with higher levels of education [37].

Indonesia comprises a variety of peoples, religions, and languages, with over 600 ethnic groups; the Javanese ethnic group is the largest at 40% of the national population [38]. We believe that sociocultural differences among ethnic groups might have impacts on HRQoL. However, in this study, we found there were no HRQoL differences between Javanese and non-Javanese patients with functional dyspepsia. Nevertheless, most of our patients were living in the same urban area (Jakarta) and not in their area of origin. We hypothesize that living in the same environment will lead to eliminating sociocultural differences between ethnic groups. Our results do not confirm the results of HRQoL studies of coronary heart disease and cancer that showed HRQoL differences among ethnic groups in the United States [3941]. Those discrepancies were associated with differences in patient perception and knowledge of the disease, medication adherence, and utilization of health facilities between groups [42].

To the best of our knowledge, this is the first study in an Asian population to assess factors associated with HRQoL in patients with functional dyspepsia. We also analyzed factors that have never been studied before, such as education level and ethnicity. We measured HRQoL using the SF-36 norm-based scoring method to enable comparisons with other HRQoL studies.

There were several limitations to this study. One was a potential bias caused by errors in answering the question because we only used self-reporting questionnaires. Another limitation was the cross-sectional design that did not allow us to determine any causal relationships between variables.

Finally, although the decreased HRQoL in patients with functional dyspepsia was clear, further research efforts are still needed in this area. For example, we need to evaluate the potential role of other factors in such patients, such as social supports, household income, financial burdens, religious coping, and comorbidities with other functional gastroduodenal diseases.

Conclusions

This study showed significant HRQoL impairment in patients with functional dyspepsia in Indonesia. Several essential factors including anxiety, depression, increasing age, female gender, greater symptom severity, and low-to-mid educational level were associated with decreased HRQoL. Our results indicate the importance of HRQoL assessment in such patients. Further, comprehensive management strategies including medical treatments as well as psychosocial support are keys for improving the HRQoL in patients with functional dyspepsia.

Abbreviations

EPS: 

Epigastric pain syndrome

GERD: 

Gastroesophageal reflux disease

HADS: 

Hospital Anxiety and Depression Scale

HRQOL: 

Health-related quality of life

IBD: 

Inflammatory bowel disease

IBS: 

Irritable bowel syndrome patients

MCS: 

Mental component summary

NDI: 

Nepean Dyspepsia Index

PCS: 

Physical component summary

PDS: 

Postprandial distress syndrome

SF-36: 

Short Form-36

Declarations

Funding

This study was funded by Universitas Indonesia International Publication Grant.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

IFH, AFS, EM, SS contributed to the design and conception of the study, acquisition of data and performed the data analysis.IFH wrote the manuscript. AFS, EM, SS, MA critically reviewed and helped in finalizing the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The study was approved by the Medical Research Ethics Committee, Faculty of Medicine Universitas Indonesia and informed consents from all participants were obtained.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Departement of Internal Medicine, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia
(2)
Division of Gastroenterology, Departement of Internal Medicine, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia
(3)
Division of Psychosomatic, Departement of Internal Medicine, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia
(4)
Clinical Epidemiology Unit, Departement of Internal Medicine, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia

References

  1. Tack J, Talley NJ, Camilleri M, Holtmann G, Hu P, Malagelada J-R, et al. Functional gastroduodenal disorders. Gastroenterology. 2006;130:1466–79.View ArticlePubMedGoogle Scholar
  2. Ghoshal UC, Singh R, Chang F, Hou X, Chun B, Wong Y, et al. Epidemiology of uninvestigated and functional dyspepsia in Asia: facts and fiction. J Neurogastroenterol Motil. 2011;17:235–44.View ArticlePubMedPubMed CentralGoogle Scholar
  3. Oshima T, Miwa H. Epidemiology of functional gastrointestinal disorders in Japan and in the world. J Neurogastroenterol Motil. 2015;21:320–9.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Syam A-F, Abdullah M, Rani A-A, Nurdjanah S, Adi P, Djumhana A, et al. Evaluation of the use of rapid urease test: pronto dry to detect H pylori in patients with dyspepsia in several cities in Indonesia. World J Gastroenterol. 2006;12:6216–8.View ArticlePubMedPubMed CentralGoogle Scholar
  5. Choi M, Jung H, Words K. Health related quality of life in functional gastrointestinal disorders in Asia. J Neurogastroenterol Motil. 2011;17:245–51.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Megari K. Quality of life in chronic disease patients. Heal Psychol Res. 2013;1:141–8.Google Scholar
  7. Ford AC, Forman D, Bailey AG, Axon ATR, Moayyedi P. Effect of dyspepsia on survival: a longitudinal 10-year follow-up study. Am J Gastroenterol. Nature Publishing Group. 2012;107:912–21.View ArticlePubMedGoogle Scholar
  8. Glise H, Wiklund I. Health-related quality of life and gastrointestinal disease. J Gastroenterol Hepatol. 2002;17:S72–84.View ArticlePubMedGoogle Scholar
  9. Eisen GM, Locke RG, Provenzale D. Health-related quality of life : a primer for gastroenterologists. Am J Gastroenterol. 1999;94:2017–21.View ArticlePubMedGoogle Scholar
  10. Talley NJ, Locke GR, Lahr BD, Zinsmeister AR, Tougas G, Ligozio G, et al. Functional dyspepsia, delayed gastric emptying, and impaired quality of life. Gut. 2006;55:933–9.View ArticlePubMedPubMed CentralGoogle Scholar
  11. Aro P, Talley NJ, Agreus L, Johansson S, Bolling-Sternevald E, Storskrubb T, et al. Functional dyspepsia impairs quality of life in the adult population. Aliment Pharmacol Ther. 2011;33:1215–24.View ArticlePubMedGoogle Scholar
  12. Van Oudenhove L, Vandenberghe J, Vos R, Holvoet L, Demyttenaere K, Tack J. Risk factors for impaired health-related quality of life in functional dyspepsia. Aliment Pharmacol Ther. 2011;33:261–74.View ArticlePubMedGoogle Scholar
  13. Haag S, Senf W, Tagay S, Heuft G, Gerken G, Talley NJ, et al. Is there any association between disturbed gastrointestinal visceromotor and sensory function and impaired quality of life in functional dyspepsia? Neurogastroenterol Motil. 2010;22:262–71.View ArticlePubMedGoogle Scholar
  14. Haag S, Senf W, Häuser W, Tagay S, Grandt D, Heuft G, et al. Impairment of health-related quality of life in functional dyspepsia and chronic liver disease: the influence of depression and anxiety. Aliment Pharmacol Ther. 2008;27:561–71.View ArticlePubMedGoogle Scholar
  15. Lee H-J, Lee S-Y, Kim JH, Sung I-K, Park HS, Jin CJ, et al. Depressive mood and quality of life in functional gastrointestinal disorders: differences between functional dyspepsia, irritable bowel syndrome and overlap syndrome. Gen Hosp Psychiatry. 2010;32:499–502.View ArticlePubMedGoogle Scholar
  16. Mahadeva S, Goh K. Anxiety, depression and quality of life differences between fuctional and organic dyspepsia. J Gastroenterol Hepatol. 2011;26:49–52.View ArticlePubMedGoogle Scholar
  17. Sosnowski R, Kulpa M, Ziętalewicz U, Wolski JK, Nowakowski R, Bakuła R, et al. Basic issues concerning health-related quality of life. Cent Eur J Urol. 2017;70:206–11.Google Scholar
  18. Mahadeva S, Ford AC. Clinical and epidemiological differences in functional dyspepsia between the east and the west. Neurogastroenterol Motil. 2016;28:167–74.View ArticlePubMedGoogle Scholar
  19. Salim S, Yamin M, Alwi I, Setiati S. Validity and reliability of the Indonesian version of SF-36 quality of life questionnaire on patients with permanent pacemakers. Acta Med Indones. 2015;49:10–6.Google Scholar
  20. Yacavone RF, Locke GR 3rd, Provenzale DT, Eisen GM. Quality of life measurement in gastroenterology: what is available? Am J Gastroenterol. 2001;96:285–97.View ArticlePubMedGoogle Scholar
  21. Maruish ME, editor. User’s manual for the SF-36v2 health survey. 3rd ed. Lincoln: QualityMetric Incorporated; 2011.Google Scholar
  22. Snaith R. The hospital anxiety and depression scale. Heal Qual Life Outcomes. 2003;1:1–4.View ArticleGoogle Scholar
  23. Caninsti R. Gambaran kecemasan dan depresi pada penderita gagal ginjal kronis yang menjalani terapi hemodialisa. JPU. 2013;1:207–22.Google Scholar
  24. Talley NJ, Verlinden M, Jones M. Quality of life in functional dyspepsia: responsiveness of the nepean dyspepsia index and development of a new 10-item short form. Aliment Pharmacol Ther. 2001;15:207–16.View ArticlePubMedGoogle Scholar
  25. Arslan G, Lind R, Olafsson S, Florvaag E, Berstad A. Quality of life in patients with subjective food Hypersensitivity : applicability of the 10-item short form of the Nepean dyspepsia index. Dig Dis Sci. 2004;49:680–7.View ArticlePubMedGoogle Scholar
  26. Arinton IG, Samudro P, Soemohardjo S. The nepean dyspepsia index : translation and validation in Indonesian language. Indones J Gastroenterol Hepatol Dig Endosc. 2006;7:38–41.Google Scholar
  27. Wiklund I, Glise H, Jerndal P, Carlsson J, Talley NJ. Does endoscopy have a positive impact on quality of life in dyspepsia? Gastrointest Endosc. 1998;47:449–54.View ArticlePubMedGoogle Scholar
  28. Shetty AJ, Balaraju G, Shetty S, Pai CG. Quality of life in dyspepsia and its subgroups using EQ-5D ( EuroQol ) questionnaire. Saudi J Gastroenterol. 2017;23:112–6.PubMedPubMed CentralGoogle Scholar
  29. Gralnek IM, Hays RD, Kilbourne A, Naliboff B, Mayer EA. The impact of irritable bowel syndrome on health-related quality of life. Gastroenterology. 2000;119:654–60.View ArticlePubMedGoogle Scholar
  30. Revicki DA, Wood M, Maton PN, Sorensen S. The impact of gastroesophageal reflux disease on health-related quality of life. Am J Med. 1998;104:252–8.View ArticlePubMedGoogle Scholar
  31. Welén K, Faresjö Å, Faresjö T. Functional dyspepsia affects women more than men in daily life : a case-control study in primary care. Gend Med. 2008;5:62–73.View ArticlePubMedGoogle Scholar
  32. Stanghellini V. Three-month prevalence rates of gastrointestinal symptoms and the influence of demographic factors: results from the domestic/ international gastroenterology surveillance study (DIGEST). Scand J Gastroenterol Suppl. 1999;231:20–8.View ArticlePubMedGoogle Scholar
  33. Pappa E, Kontodimopoulos N, Papadopoulos AA, Niakas D. Assessing the socio-economic and demographic impact on health-related quality of life: evidence from Greece. Int J Public Health. 2009;54:241–9.View ArticlePubMedGoogle Scholar
  34. De Boer AG, Bennebroek Evertsz’ F, Stokkers PC, Bockting CL, Sanderman R, Hommes DW, et al. Employment status, difficulties at work and quality of life in inflammatory bowel disease patients. Eur J Gastroenterol Hepatol. 2016;28:1–7.View ArticleGoogle Scholar
  35. Chang L. Review article: epidemiology and quality of life in functional gastrointestinal disorders. Aliment Pharmacol Ther. 2004;20:31–9.View ArticlePubMedGoogle Scholar
  36. Gonzalez-Barcala F-J, de la Fuente-Cid R, Tafalla M, Nuevo J, Caamano-Isorna F. Factors associated with health-related quality of life in adults with asthma. A cross-sectional study. Multidiscip. Respir Med. 2012;7:32.Google Scholar
  37. Patti F, Pozzilli C, Montanari E, Pappalardo A, Piazza L, Levi A, Onesti E, Pesci I. Effects of education level and employment status on HRQoL in early relapsing-remitting multiple sclerosistle. Mult Scler. 2007;13:783–91.View ArticlePubMedGoogle Scholar
  38. Na’im A, Syaputra H. Kewarganegaraan, suku bangsa, agama, dan bahasa sehari-hari penduduk Indonesia. Jakarta: Badan Pusat statistik; 2010.Google Scholar
  39. Hayes DK, Greenlund KJ, Denny CH, Neyer JR, Croft JB, Keenan NL. Racial/ethnic and socioeconomic disparities in health-related quality of life among people with coronary heart disease, 2007. Prev Chronic Dis. 2011;8:A78.PubMedPubMed CentralGoogle Scholar
  40. Morrow PK, Broxson AC, Munsell MF, Basen-Enquist K, Rosenblum CK, Schover LR, et al. Effect of age and race on quality of life in young breast cancer survivors. Clin Breast Cancer Elsevier Inc. 2014;14:e21–31.View ArticlePubMedGoogle Scholar
  41. Pinheiro LC, Wheeler SB, Chen RC, Mayer DK, Lyons JC, Reeve BB. The effects of cancer and racial disparities in health-related quality of life among older Americans: a case-control, population-based study. Cancer. 2015;121:1312–20.View ArticlePubMedGoogle Scholar
  42. Sewell JL, Velayos FS. Systematic review: the role of race and socioeconomic factors on IBD healthcare delivery and effectiveness. Inflamm Bowel Dis. 2013;19:627–43.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© The Author(s). 2018

Advertisement