- Open Access
The validity of the EQ-5D-3L items: an investigation with type 2 diabetes patients from six European countries
© Konerding et al.; licensee BioMed Central Ltd. 2014
- Received: 20 June 2014
- Accepted: 26 November 2014
- Published: 5 December 2014
Most previous studies concerning the validity of the EQ-5D-3L items refer to applications of only a single language version of the EQ-5D-3L in only one country. Therefore, there is little information concerning the extent to which the results can be generalised across different language versions and/or different countries. Here the validity of the EQ-5D-3L items is investigated for six different language versions in six different countries.
Data came from 1341 type 2 diabetes patients (England: 289; Finland: 177; Germany: 255; Greece: 165; the Netherlands: 354; Spain: 101). The relationships of the five EQ-5D-3L items with seven different test variables (age, gender, education, previous stroke, problems with heart, problems with lower extremities, problems with eyes), were analysed for each combination of item and test variable. For each combination two logistic regression models with the dichotomised EQ-5D-3L item as dependent variable were computed. The first model contained the test variable and dummy coded countries as independent variables, the second model additionally the terms for the interaction between country and test variable. Statistically significant better fit of the second model was taken as evidence for country specific differences regarding the relationship. When such differences could be attributed mainly to one country the analyses were repeated without the data from this country. Validity was investigated with the remaining data using results of the first models.
Due to lack of variation in the Spanish data only 31 of the originally intended 35 interaction tests could be performed. Only three of these yielded a significant result. In all three cases the Spanish data deviated most. Without the Spanish data only 1 of the 35 interaction tests yielded a significant result. With 3 exceptions, the tendency of reporting problems increased with age, female gender, lower education, previous stroke, heart problems, problems with lower extremities and problems with eyes for all EQ-5D-3L items.
The results concerning the European Spanish version are ambiguous. However, the items of the English, Finnish, German, Greek and Dutch versions of the EQ-5D-3L relate in substantially the same way to the test variables. Mostly, these relationships indicate the items’ validity.
- Health-related quality of life
The EQ-5D-3L with its 153 different official language versions and a further 19 language versions awaiting approval is currently the most widely used preference-based instrument for measuring health related quality of life -. The EQ-5D-3L consists of (1) a descriptive system comprising five questionnaire items and (2) a visual analogue scale. The questionnaire items address five different dimensions of health: (1) mobility; (2) self-care; (3) usual activities; (4) pain/discomfort; and (5) anxiety/depression. Three answer categories are provided for each item with the first category referring to the best state. The EQ-5D-3L can be applied for two purposes: describing health states; and constructing indices which represent the utilities of these health states. Several scoring functions for assigning utilities to health states are available and most of these refer to one specific language version of the EQ-5D-3L .
Whatever purpose the EQ-5D-3L items are used for, they need to be valid. This means, in the first instance, that they should adequately describe the respondents’ actual health states. This can best be investigated by analysing the relationships between the items and some more concrete indicators of actual health. There are several studies which refer to these relationships - and which, together, constitute a remarkable evidence basis for judging the validity of the EQ-5D-3L items. For a deeper understanding, however, it is also interesting to know how the items relate to socio-demographic variables such as age, gender and education. As far as these socio-demographic variables are related to actual health, the relationships of these variables with the EQ-5D-3L items also provide information about the items’ validity. There are several studies in which these relationships have been investigated ,,,,- and the findings from these studies enrich the empirical knowledge relevant for judging the validity of the EQ-5D-3L items.
However, most of the studies just mentioned have been performed in only one specific country using only one specific language version of the EQ-5D-3L. There are only four studies in which different language versions have been applied. Three of these have been performed using different language versions within the same country ,, and only one study referred to data from different countries . Analyses which are relevant for investigating validity and which have been performed separately for either the different language versions or the different countries respectively have been reported for only two of the four studies ,. Hence, there is not much empirical evidence concerning the extent to which results referring to the EQ-5D-3L items can be generalised across different language versions and/or across different countries. In fact, the results of one of the few relevant studies  even suggest that this is not the case. Obtaining more information about the generalizability of findings concerning the EQ-5D-3L items would require more studies in which different language versions of the EQ-5D-3L are applied in different countries.
A study with the features just mentioned is presented here, performed on patients with type 2 diabetes. Type 2 diabetes is a chronic insufficiency in the processing of glucose in the blood caused by too little insulin being produced by the body or by the available insulin working ineffectively. In the long run diabetes can lead to severe complications; particularly stroke, heart attack, kidney failure, ulcers of the lower extremities and impairment of sight ,.
Patients from England, Finland, Germany, Greece, the Netherlands and Spain were investigated and the corresponding EQ-5D-3L language versions were used. The data from this study are analysed with regard to two objectives:
1) to investigate the generalizability of findings concerning the EQ-5D-3L items across the study countries, and
2) to investigate the validity of the EQ-5D-3L items on the basis of the data from those countries for which the findings concerning the EQ-5D-3L items are substantially the same.
Study participants and study conduction
The analyses were performed using data from surveys of type 2 diabetes patients in England, Finland, Germany, Greece, the Netherlands and Spain which were conducted during a major European project concerned with health provider networks . Inclusion criteria for participants were 1) that they were being treated for type 2 diabetes by the health providers investigated in the project and 2) that they were at least 18 years old. The health providers investigated in the study selected the patients to be approached for participation according to criteria defined by the researchers. The patients were then contacted either by post or by being directly given the questionnaire when visiting their health care provider. The patients who participated in the survey completed their questionnaires on their own without personnel from the service provider or a researcher beside them. Depending on what was the most feasible method for the provider the participants returned their completed questionnaires either by mail directly to the local project study centres, or to the care provider who then passed them on to the study centres. All surveys had been approved by national ethical committees and took place between October 2011 and March 2012.
The questionnaire used for the surveys contained items addressing socio-demographic features, health, health-related behaviour and health treatment. Most of these items were not included in the analyses presented here. The questionnaire items included were those concerning age, gender, educational attainment, and secondary complications of diabetes, and all EQ-5D-3L items. There were also two questions concerning the participant’s competence in mastering the questionnaire language. In the English version of the questionnaire the first question was ‘What is your first language?’ and the categories ‘English’ and ‘Other, please specify’ were given as answer options. The second question was ‘If English is not your first language, how well do you master it?’ with the answer options ‘Not at all’, ‘Poorly’, ‘Moderately’, ‘Well’ and ‘Perfectly’. In the other language versions the word ‘English’ was replaced with the word for the language in which the questionnaire was formulated. Both questions were relevant in selecting which questionnaires were to be included for the analyses.
Educational attainment was assessed by asking participants whether they had left school after the minimum school leaving age of their country. Those answering ‘yes’ were classified as having a lower level of educational attainment than those who answered ‘no’. After lengthy discussions with researchers from all six investigated countries this assessment turned out to fit best to all the six corresponding education systems which are all diverse in many respects.
Five secondary complications of type 2 diabetes were considered in the questionnaire: stroke, kidney failure, heart problems, problems concerned with the lower extremities and problems with eyes. Each complication was addressed by a single question. Stroke was assessed by asking if they had ever had a stroke, and kidney failure by asking if they were dependent on dialyses or had had a previous kidney transplant. The other three secondary complications were addressed by questions each of which in turn had three answer options. For heart problems these were: no problems; having had a by-pass or suffering from angina, but never having had a heart attack; and having had a heart attack. For problems with lower extremities the options were: no problems with legs, feet and toes caused by diabetes; having lesions in legs, feet or toes caused by diabetes, but no amputation caused by diabetes; and amputation of a toe, foot or leg due to problems caused by diabetes. The three answer options for eye problems were: no problems; problems caused by diabetes, but no blindness; and blindness as a result of diabetes.
Questionnaires were excluded from analyses if the participant could not sufficiently master the questionnaire language and/or if there were too many missing values for the variables under consideration. Sufficient mastering of the questionnaire language was defined as either being a native speaker or as mastering the questionnaire language at least ‘well’. Having too many missing values was defined as there being either more than one missing value for the three socio-demographic questions, or more than one missing value for the five questions concerning the secondary complications or more than one missing value for the five EQ-5D-3L items. The latter criterion was a compromise between the demands of not relying on information that was too questionable and of not excluding too many participants. If there was no more than one missing value for each of the three question categories, this could still be attributed to casual slips by the respondent. More missing values than this were taken as an indicator of fundamental insufficiencies in the respondent's answers.
To obtain a basic understanding of the data, the distributions of the three socio-demographic features and the five secondary complications were analysed for each country separately, and for all countries together. Age was treated both as a continuous variable and as a categorical variable with the categories ’18-54’, ’55-64’, ’65-74’, and ‘older than 74’. These categories were chosen because they were expected to cover qualitatively different age ranges. Country differences with regard to age were tested by computing a multivariate linear regression with age as the dependent variable and dummy coded countries as independent variables. Country differences with regard to the remaining socio-demographic variables, stroke, and kidney failure were tested using Pearson’s chi-square test. Country differences on the three ‘three-categorical’ secondary complications (problems with heart, lower extremities, or eye problems) and the five EQ-5D-3L items were analysed using the Kruskal-Wallis test. This test is specially designed for comparing values of variables with an ordinal scale level. It was chosen because the three-categorical items for the secondary complications as well as the EQ-5D-3L items possess only this scale level. Bivariate relationships of the socio-demographic features and the secondary complications with the EQ-5D-3L items were also investigated using Kruskal-Wallis tests. The remaining analyses directly refer to the two objectives presented in the introduction.
Generalizability of findings concerning the EQ-5D-3L items
As mentioned above the validity of the EQ-5D-3L items is usually investigated by analysing the relationships of these items with demographic features and with more objective features of health. Therefore, the cross-national generalizability of findings concerning the EQ-5D-3L items was investigated here with regard to exactly these relationships. To simplify these analyses the five EQ-5D-3L items and all three-categorical items referring to secondary complications were dichotomised with one category being ‘no problems at all’ and the other ‘any problems’. The secondary complications which were measured with three-categorical items were problems with heart, lower extremities and eyes. The items referring to stroke and to kidney failure were already binary variables. As country specific differences regarding the relationships between the EQ-5D-3L items and other variables can only be reasonably investigated when there are values for all levels of the investigated variables in all countries those socio-demographic features and secondary complications were excluded from the analyses which did not meet this criterion. The included variables will be referred to as the ‘test variables’ below.
To test whether there are country-specific differences regarding relationships between the EQ-5D-3L items and the test variables two logistic regression models were compared for each combination of EQ-5D-3L item and test variable. Both models contained the respective dichotomised EQ-5D-3L item as dependent variable. The first of the two models contained the test variable and dummy coded country as independent variable; the second model contained additionally terms for the interaction between countries and test variable. Statistically significant better fit of the second model was taken as evidence for country specific differences regarding the relationship. This was tested using a likelihood ratio test. To get also descriptive measures for the improvement of model fit Nagelkerke’s pseudo R-square was computed for each model. Nagelkerke’s pseudo R-square reflects how all included independent variables together explain the dependent variable. This statistic is zero when the independent variables do not explain the dependent variable at all. When, in contrast, the independent variables explain the dependent variable completely this statistic is equal to one .
For those combinations of EQ-5D-3L items and test variable for which the interaction terms led to a statistically significant improvement of the model fit further analyses were performed. These analyses aimed to identify that country for which the investigated relationship differed most from the other countries. For this purpose, logistic regression models with the dichotomised EQ-5D-3L item as dependent variable were computed for each country separately. These country specific regression models contained only the test variable as independent variable. This was always one dummy variable (except for age, which was modelled with three dummy variables). It was determined how the country specific regression coefficients for these dummy variables deviated from the corresponding regression coefficients in the models which were computed for all countries together without using interaction terms. These deviations directly reflect how much the relationship for the respective country differs from the common core of all countries. When it was mainly the same country which deviated most from the common core when there were statistically significant interactions then all analyses just described were repeated without the data from this country.
Validity of the EQ-5D-3L items
The validity of the EQ-5D-3L items was investigated with the data from those countries for which there were no essential interaction effects. This was achieved through interpreting the results from those regression models which were computed for all countries together and where interaction terms as independent variables were excluded.
General information about the sample
Sufficient language competence
Distributions of the investigated variables a
Age (p < 0.001)b
Gender (not significant)c
Education (p < 0.001)c
Stroke (p < 0.05)c
Heart (p < 0.01)d
Problems, no attack
Kidney (not significant)c
No kidney failure
Lower extremities (p < 0.001)d
Eyes (p < 0.001)d
Mobility (p < 0.001)d
Confined to bed
Self-care (p < 0.001)d
Usual activities (p < 0.001)d
Pain/discomfort (p < 0.001)d
Anxiety/depression (p < 0.001)d
Generalizability of findings concerning EQ-5D-3L items
Model fits for data from all six study countries a
Problems with heart
Problems with lower extremities
Problems with eyes
In only 3 of the 31 cases in which interactions could be tested, the interaction terms raised the model fit significantly with a significance level of 0.05 (see Table 3). These three analyses concerned the relationships of the item ‘mobility’ with gender (increase in Nagelkerke’s Pseudo R2: 0.012, p < 0.05), of the item ‘self-care’ with problems with eyes (increase in Nagelkerke’s Pseudo R2: 0.015, p < 0.05), and of the item ‘pain/discomfort’ with problems with heart (increase in Nagelkerke’s Pseudo R2: 0.012, p < 0.05). In all three of these cases the regression coefficient for Spain deviated most from the corresponding coefficient for the model computed for all countries without the interaction terms as independent variables. When 31 significance tests with a significance level of 0.05 are performed then the probability that more than two tests yield a significant result by chance is 0.201. Therefore, the three significant results could very well be false rejections of the zero-hypothesis. Of course, with a larger sample size more effects might be detected. However, in those three cases where statistically significant interaction effects were found, the differences between the Nagelkerke’s Pseudo R2 are small. Hence, effects detected with a larger sample size can also be expected to be quite small. So, the results presented here suggest that the six investigated different language versions relate in approximately the same way to the test variables. However, the fact that the regression coefficients for Spain deviate most in all three significant interactions might also indicate that either the items of the Spanish version are differently understood by the respondents, or that they actually relate differently to the test variables.
Model fits without Spanish data a
Problems with heart
Problems with lower extremities
Problems with eyes
Validity of the EQ-5D-3L items
Relation between EQ-5D-3L items and test variables
Regression coefficients for models without interaction terms, Spanish data excluded a
Problems with heart
Problems with lower extremities
Problems with eyes
However, the regression coefficients also indicate a slight difference between the first three items, i.e. ‘mobility’ , ‘self-care’ and ‘usual activities’ , and the item ‘pain/discomfort’. The latter item seems to be less affected by age (b for age > 74: 0.92) and by the four secondary complications of diabetes (b range: 0.65 to 1.56) than the other three items (see Table 5). For ‘age’ and for ‘previous stroke’ this tendency is even expressed in the confidence intervals, i.e. for the age category ‘> 74’ the confidence interval for ‘pain/discomfort’ (0.53; 1.31) does not overlap with the confidence interval for the item ‘mobility’ (1.40; 2.25), and for ‘previous stroke’ the confidence interval for ‘pain/discomfort’ (0.17; 1.14) does not overlap with the confidence interval for the item ‘usual activities’ (1.25; 2.20) (see Table 5). There is still a further difference between the first three EQ-5D-3L items and the item ‘pain/discomfort’. Whereas ‘problems with the heart’ constitute that secondary complication which has the smallest effect on the first three items (b range: 0.86 to 0.98), it is ‘previous stroke’ which has the smallest effect (b = 0.65) on the item ‘pain/discomfort’.
The item ‘anxiety/depression’ differs quite distinctly from the other four EQ-5D-3L items. In contrast to the other items it is virtually unrelated to age and education. Moreover, the regression coefficients indicate that it is less affected by the secondary complications with only ‘previous stroke’ being an exception. For ‘problems with lower extremities’ and for ‘problems with eyes’ this tendency is also evident in the confidence intervals, i.e. for ‘problems with lower extremities’ the confidence interval for ‘anxiety/depression’ (0.59; 1.31) does not overlap with the confidence interval for ‘mobility’ (1.44; 2.18), and for ‘problems with eyes’ the confidence interval for ‘anxiety/depression’ (0.43; 1.10) does not overlap the confidence interval for ‘usual activities’ (1.25; 2.20) (see Table 5).
Relationships to previous studies
The finding that the first three EQ-5D-3L items are most similar to each other whereas the last item, i.e. ‘anxiety/depression’ , differs most is very well in line with results from factor analyses performed in other studies -. The finding that health impairments as reflected by more objective indicators have an adverse effect on all five items is, with a few exceptions -,,,, also in line with the findings in earlier studies -. As in the results presented here, other studies show that age has an adverse effect on the first four EQ-5D-3L items ,,,,,. However, in contrast to the findings presented here, age also had a statistically significant adverse effect on the item ‘anxiety/depression’ in most of the studies in which this relation has previously been investigated ,,,,. In only one of these studies was no such effect found . As in the study presented here, women reported more problems than men for all five items in most of the previous studies in which this relationship had been investigated ,,,,. There was only one exception . There is also rich evidence that, just as in the study presented here, the tendency of reporting problems for the first four EQ-5D-3L items increases with lower education ,,,,,. However, in contrast to the study presented here, previous studies also show a statistically significant positive effect of education on the item ‘anxiety/depression’ ,,, or at least a non-significant tendency in this direction ,.
Integrative interpretation of the results relevant for validity
Considered from only a conceptual perspective the constructs addressed by the five EQ-5D-3L items are related in a different way to each other. The first three items are all concerned with bodily function which to a large degree can be affected by the same impairments; the fourth item, i.e. ‘pain/discomfort’, describes something which is physical but which is not necessarily related to functional restrictions; the fifth item, i.e. ‘anxiety/depression’, describes something which is not physical and which can be affected by quite different factors other than physical health. These conceptual relations between the items are very well reflected by the results found in the study presented here as well as by the results of the previous studies concerning the factorial structure of the items -. Hence, these results provide evidence for the internal validity of the items.
Both the study presented here and previous studies show that more problems are reported for the first four EQ-5D-3L items with increasing age and lower education. As physical health is known to decrease with age and lower education - these findings further corroborate these items’ validity. The relationships of age and education with the item ‘anxiety/depression’, however, are more complicated.
For the relationship between age and the item ‘anxiety/depression’ two antagonistic mediating mechanisms can be assumed. One mechanism is that physical health decreases with age and that, this in turn, increases anxiety and/or depression -. On the other hand, most people at an older age receive a pension income from which they can live and which can alleviate some reasons for being anxious and/or depressive. Moreover, older age for some people is associated with a time for reduced work responsibilities and increased leisure time which can also reduce anxiety and/or depression. When these two antagonistic mechanisms work together no universal adverse effect of age on the item ‘anxiety/depression’ can be expected. In the data presented here, both mechanisms might have neutralised each other whereas in most studies in literature the first mechanism might have been stronger.
For the relationship between education and the item ‘anxiety/depression’ two antagonistic mediating mechanisms can also be postulated. One mechanism is that higher education is associated with better physical health -, and better physical health, in turn, is associated with less anxiety and depression -. The other mechanism is that higher education is very often associated both with more being expected from these people in their work positions and with their own expectations from life in general being higher, which both increases the risk of becoming anxious and depressive. Assuming these two antagonistic mechanisms implies that no universal adverse effect of education on the item ‘anxiety/depression’ can be expected. In the data presented here, both mechanisms might have neutralised each other whereas in most studies in literature the first mechanism might have been stronger.
Both the study presented here and previous studies show that males report fewer health problems than females. The interpretation of these findings, however, is also complicated. In fact, some empirical studies indicate that males are healthier than females -. However, the classical male self-concept expects males to be both physically and emotionally strong , which reduces the tendency to admit impairments even if they actually exist. So, as far as the gender effect in the answers corresponds to actual differences in health this effect constitutes further evidence for the validity of the items. However, to the extent to which the gender effect is stronger than the differences in actual health, this effect is evidence for a response bias and therefore for a specific restriction of validity. With the analyses presented here the relative influence of both factors cannot be determined and additional research would be required.
The items of the English, Finnish, German, Greek, Dutch, and Spanish versions of the EQ-5D-3L relate in approximately the same way to age, gender, education, previous stroke, heart problems, problems with lower extremities and problems with eyes. However, for 3 of the 31 performed tests statistically significant deviations from the same pattern were detected and all of these were largely attributable to the Spanish data. These results can still be explained by statistical variation caused by chance. However, they might also suggest that something is different either with the European Spanish language version of the EQ-5D-3L or with the actual relationships between the EQ-5D-3L items and the test variables. Further studies are required for deciding between both possible explanations. After excluding the Spanish data, only one of the 35 performed statistical tests of deviation from the same pattern produced a statistically significant result. This provides strong empirical evidence that the items of the English, the Finnish, the German, the Greek, and the Dutch version of the EQ-5D-3L relate in the same way to the test variables. The aggregated results for English, Finnish, German, Greek and Dutch data provide further evidence for the validity of the EQ-5D-3L items.
The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 241741. The surveys have been performed with the special assistance of Tom Bowen, Eleftheria Karampli, Teresa Meneu, Paulus Torkki, and Antero Vanhala. The authors would like to express their gratitude to the participating healthcare service provider organisations for their co-operation and support in enabling the study to take place.
- EuroQol: The current state of play Health Policy 1996, 37(1):53–72. 10.1016/0168-8510(96)00822-6View ArticleGoogle Scholar
- Rabin R, de Charro F: EQ-5D: a measure of health status from the EuroQol Group. Ann Med 2001, 33(5):337–343. 10.3109/07853890109002087View ArticlePubMedGoogle Scholar
- Brauer CA, Rosen AB, Greenberg D, Neumann PJ: Trends in the measurement of health utilities in published cost-utility analyses. Value Health 2006, 9: 213–218. 10.1111/j.1524-4733.2006.00116.xView ArticlePubMedGoogle Scholar
- EuroQol Group: EQ-5D-3L. . Accessed June 10th 2014., [http://www.euroqol.org/eq-5d-products/eq-5d-3l.html]
- Szende A, Oppe M, Devlin N: EQ-5D value sets: Inventory, comparative review and user guide. Springer, Dordrecht, The Netherlands; 2007.View ArticleGoogle Scholar
- Aburuz S, Bulatova N, Twalbeh M, Gazawi M: The validity and reliability of the Arabic version of the EQ-5D: a study from Jordan. Ann Saudi Med 2009, 29(4):304–308. 10.4103/0256-4947.55313PubMed CentralView ArticlePubMedGoogle Scholar
- Brettschneider C, König HH, Herzog W, Kaufmann C, Schaefert R, Konnopka A: Validity and responsiveness of the EQ-5D in assessing and valuing health status in patients with somatoform disorders. Health Qual Life Outcomes 2013, 11: 3. 10.1186/1477-7525-11-3PubMed CentralView ArticlePubMedGoogle Scholar
- Hunger M, Sabariego C, Stollenwerk B, Cieza A, Leidl R: Validity, reliability and responsiveness of the EQ-5D in German stroke patients undergoing rehabilitation. Qual Life Res 2012, 21(7):1205–1216. 10.1007/s11136-011-0024-3View ArticlePubMedGoogle Scholar
- König HH, Born A, Günther O, Matschinger H, Heinrich S, Riedel-Heller SG, Angermeyer MC, Roick C: Validity and responsiveness of the EQ-5D in assessing and valuing health status in patients with anxiety disorders. Health Qual Life Outcomes 2010, 8: 47. 10.1186/1477-7525-8-47PubMed CentralView ArticlePubMedGoogle Scholar
- König HH, Roick C, Angermeyer MC: Validity of the EQ-5D in assessing and valuing health status in patients with schizophrenic, schizotypal or delusional disorders. Eur Psychiatry 2007, 22(3):177–187. 10.1016/j.eurpsy.2006.08.004View ArticlePubMedGoogle Scholar
- Kontodimopoulos N, Pappa E, Niakas D, Yfantopoulos J, Dimitrakaki C, Tountas Y: Validity of the EuroQoL (EQ-5D) instrument in a Greek general population. Value Health 2008, 11(7):1162–1169. 10.1111/j.1524-4733.2008.00356.xView ArticlePubMedGoogle Scholar
- Luo N, Low S, Lau PN, Au WL, Tan LC: Is EQ-5D a valid quality of life instrument in patients with Parkinson's disease? A study in Singapore. Ann Acad Med Singapore 2009, 38(6):521–528.PubMedGoogle Scholar
- Öster C, Willebrand M, Dyster-Aas J, Kildal M, Ekselius L: Validation of the EQ-5D questionnaire in burn injured adults. Burns 2009, 35(5):723–732. 10.1016/j.burns.2008.11.007View ArticlePubMedGoogle Scholar
- Savoia E, Fantini MP, Pandolfi PP, Dallolio L, Collina N: Assessing the construct validity of the Italian version of the EQ-5D: preliminary results from a cross-sectional study in North Italy. Health Qual Life Outcomes 2006, 4: 47. 10.1186/1477-7525-4-47PubMed CentralView ArticlePubMedGoogle Scholar
- Shafie AA, Hassali MA, Liau SY: A cross-sectional validation study of EQ-5D among the Malaysian adult population. Qual Life Res 2011, 20(4):593–600. 10.1007/s11136-010-9774-6View ArticlePubMedGoogle Scholar
- Stark RG, Reitmeir P, Leidl R, König HH: Validity, reliability, and responsiveness of the EQ-5D in inflammatory bowel disease in Germany. Inflamm Bowel Dis 2010, 16(1):42–51. 10.1002/ibd.20989View ArticlePubMedGoogle Scholar
- Sun S, Chen J, Johannesson M, Kind P, Xu L, Zhang Y, Burström K: Population health status in China: EQ-5D results, by age, sex and socio-economic status, from the National Health Services Survey 2008. Qual Life Res 2011, 20(3):309–320. 10.1007/s11136-010-9762-xPubMed CentralView ArticlePubMedGoogle Scholar
- Faridah A, Jamaiyah H, Goh A, Soraya A: The validation of the EQ-5D in Malaysian dialysis patients. Med J Malaysia 2010, 65(Suppl A):114–119.PubMedGoogle Scholar
- König HH, Bernert S, Angermeyer MC, Matschinger H, Martinez M, Vilagut G, Haro JM, de Girolamo G, de Graaf R, Kovess V, Alonso J: Comparison of population health status in six european countries: results of a representative survey using the EQ-5D questionnaire. Med Care 2009, 47(2):255–261. 10.1097/MLR.0b013e318184759eView ArticlePubMedGoogle Scholar
- Wang HM, Patrick DL, Edwards TC, Skalicky AM, Zeng HY, Gu WW: Validation of the EQ-5D in a general population sample in urban China. Qual Life Res 2012, 21(1):155–160. 10.1007/s11136-011-9915-6View ArticlePubMedGoogle Scholar
- Kumar V, Abbas AK, Fausto N, Robbins SL, Cotran RS: Robbins and Cotran Pathologic Basis of Disease. 7th edition. Elsevier Saunders, Philadelphia, Pa; 2005.Google Scholar
- Melmed S, Polonsky K, Larsen PR, Kronenberg H, Williams : Textbook of Endocrinology. 12th edition. Elsevier/Saunders, Philadelphia; 2011.Google Scholar
- Managed Outcomes Consortium: Managed Outcomes. . Accessed 30 May 2014, [http://www.youtube.com/feed/UCGR1TTllCKmp-FHKH6cEAcg]
- Nagelkerke NJD: A Note on a General Definition of the Coefficient of Determination. Biometrika 1991, 78(3):691–692. 10.1093/biomet/78.3.691View ArticleGoogle Scholar
- Cherepanov D, Palta M, Fryback DG: Underlying dimensions of the five health-related quality-of-life measures used in utility assessment: evidence from the National Health Measurement Study. Med Care 2010, 48(8):718–725. 10.1097/MLR.0b013e3181e35871PubMed CentralView ArticlePubMedGoogle Scholar
- Essink-Bot ML, Krabbe PF, Bonsel GJ, Aaronson NK: An empirical comparison of four generic health status measures. The Nottingham Health Profile, the Medical Outcomes Study 36-item Short-Form Health Survey, the COOP/WONCA charts, and the EuroQol instrument. Med Care 1997, 35(5):522–537. 10.1097/00005650-199705000-00008View ArticlePubMedGoogle Scholar
- Konerding U, Moock J, Kohlmann T: The classification systems of the EQ-5D, the HUI II and the SF-6D: what do they have in common? Qual Life Res 2009, 18(9):1249–1261. 10.1007/s11136-009-9525-8View ArticlePubMedGoogle Scholar
- Dupre ME: Educational differences in age-related patterns of disease: reconsidering the cumulative disadvantage and age-as-leveler hypotheses. J Health Soc Behav 2007, 48(1):1–15. 10.1177/002214650704800101View ArticlePubMedGoogle Scholar
- Dupre ME: Educational differences in health risks and illness over the life course: a test of cumulative disadvantage theory. Soc Sci Res 2008, 37(4):1253–1266. 10.1016/j.ssresearch.2008.05.007View ArticlePubMedGoogle Scholar
- Khang YH, Lynch JW, Kaplan GA: Health inequalities in Korea: age- and sex-specific educational differences in the 10 leading causes of death. Int J Epidemiol 2004, 33(2):299–308. 10.1093/ije/dyg244View ArticlePubMedGoogle Scholar
- Silventoinen K, Lahelma E: Health inequalities by education and age in four Nordic countries, 1986 and 1994. J Epidemiol Community Health 2002, 56(4):253–258. 10.1136/jech.56.4.253PubMed CentralView ArticlePubMedGoogle Scholar
- Ayerbe L, Ayis S, Wolfe CD, Rudd AG: Natural history, predictors and outcomes of depression after stroke: systematic review and meta-analysis. Br J Psychiatry 2013, 202(1):14–21. 10.1192/bjp.bp.111.107664View ArticlePubMedGoogle Scholar
- Mitchell AJ, Ferguson DW, Gill J, Paul J, Symonds P: Depression and anxiety in long-term cancer survivors compared with spouses and healthy controls: a systematic review and meta-analysis. Lancet Oncol 2013, 14(8):721–732. 10.1016/S1470-2045(13)70244-4View ArticlePubMedGoogle Scholar
- Roy T, Lloyd CE: Epidemiology of depression and diabetes: a systematic review. J Affect Disord 2012, 142(Suppl):S8–21. 10.1016/S0165-0327(12)70004-6View ArticlePubMedGoogle Scholar
- Arber S, Cooper H: Gender differences in health in later life: the new paradox? Soc Sci Med 1999, 48: 61–76. 10.1016/S0277-9536(98)00289-5View ArticlePubMedGoogle Scholar
- Frederiksen H, Hjelmborg J, Mortensen J, McGue M, Vaupel JW, Christensen K: Age trajectories of grip strength: cross-sectional and longitudinal data among 8,342 Danes aged 46 to 102. Ann Epidemiol 2006, 16: 554–562. 10.1016/j.annepidem.2005.10.006View ArticlePubMedGoogle Scholar
- Leveille SG, Penninx BW, Melzer D, Izmirlian G, Guralnik JM: Sex differences in the prevalence of mobility disability in old age: the dynamics of incidence, recovery, and mortality. J Gerontol B Psychol Sci Soc Sci 2000, 55: S41-S50. 10.1093/geronb/55.1.S41View ArticlePubMedGoogle Scholar
- Nybo H, Gaist D, Jeune B, McGue M, Vaupel JW, Christensen K: Functional status and self-rated health in 2,262 nonagenarians: The Danish 1905 Cohort Survey. J Am Geriatr Soc 2001, 49: 601–609. 10.1046/j.1532-5415.2001.49121.xView ArticlePubMedGoogle Scholar
- Helgeson VS: Prototypes and dimensions of masculinity and femininity. Sex Roles 1994, 31: n11–12. 653–682 10.1007/BF01544286View ArticleGoogle Scholar
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