Psychometric properties of two measures of psychological well-being in adult growth hormone deficiency
© McMillan et al; licensee BioMed Central Ltd. 2006
Received: 15 December 2005
Accepted: 22 March 2006
Published: 22 March 2006
Psychometric properties of two measures of psychological well-being were evaluated for adults with growth hormone deficiency (GHD): the General Well-being Index, (GWBI) – British version of the Psychological General Well-being Index, and the 12-item Well-being Questionnaire (W-BQ12).
Reliability, structure and other aspects of validity were investigated in a cross-sectional study of 157 adults with treated or untreated GHD, and sensitivity to change in a randomised placebo-controlled study of three months' growth hormone (GH) withdrawal from 12 of 21 GH-treated adults.
Very high completion rates were evidence that both questionnaires were acceptable to respondents. Factor analyses did not indicate the existence of useful GWBI subscales, but confirmed the validity of calculating a GWBI Total score. However, very high internal consistency reliability (Cronbach's alpha = 0.96, N = 152), probably indicated some item redundancy in the 22-item GWBI. On the other hand, factor analyses confirmed the validity of the three W-BQ12 subscales of Negative Well-being, Energy, and Positive Well-being, each having excellent internal reliability (alphas of 0.86, 0.86 and 0.88, respectively, N from 152 to 154). There was no sign of item redundancy in the highly acceptable Cronbach's alpha of 0.93 (N = 148) for the whole W-BQ12 scale. Whilst neither questionnaire found significant differences between GH-treated and non-GH-treated patients, there were correlations (for GH-treated patients) with duration of GH treatment for GWBI Total (r = -0.36, p = 0.001, N = 85), W-BQ12 Total (r = 0.35, p = 0.001, N = 88) and for all W-BQ12 subscales: thus the longer the duration of GH treatment (ranging from 0.5 to 10 years), the better the well-being. Both questionnaires found that men had significantly better overall well-being than women. The W-BQ12 was more sensitive to change than the GWBI in the GH-Withdrawal study. A significant between-group difference in change in W-BQ12 Energy scores was found [t(18) = 3.25, p = 0.004, 2-tailed]: patients withdrawn from GH had reduced energy at end-point. The GWBI found no significant change.
The W-BQ12 is recommended in preference to the GWBI to measure well-being in adult GHD: it is considerably shorter, has three useful subscales, and has greater sensitivity to change.
The physical symptoms of adult growth hormone deficiency (GHD) include abnormal body composition with reduced lean body mass and increased central adiposity; reduced muscle strength and exercise performance . However, adults with untreated GHD report symptoms of reduced psychological well-being including low energy, tiredness, irritability , anxiety, depression and mood swings  and it has been said that "psychological aspects may be at least as, if not more, important" than physiological . To measure the effects of growth hormone (GH) treatment sensitive measures of patient-reported outcomes, such as quality of life (QoL), health status and psychological well-being, are also required in addition to measuring physiological outcomes. Condition-specific QoL measures in adult GHD exist [5, 6], but QoL is not equivalent to health status or well-being, although often reported as such .
The questionnaire most commonly employed to measure psychological well-being in adult GHD has been the generic 22-item Psychological General Well-being Index (PGWB) , with six subscales (Anxiety, Depression, General Health, Positive Well-being, Self-control and Vitality), and a Total score. Results of randomised placebo-controlled trials providing GH treatment to adults with GHD have been mixed. In some studies the PGWB found no significant change [9–11], but others found, after six months' GH-treatment, significant improvement in Depression ; Vitality and Total well-being ; General Health, Positive Well-being, Vitality and Total well-being . Longer-term open-label studies of GH treatment have found improvements in most or all PGWB variables [15–17]. Those who continued with GH therapy over 9 years had significant increases in Vitality, but those who discontinued GH had significant decreases in General Health over the same period . Some were British studies [9, 12, 14, 15, 18] but used the PGWB, although this American questionnaire does not appear to have been validated either for use in the UK or in adult GHD. However, a British version of the PGWB exists: the General Well-being Index (GWBI) . This is very similar to the PGWB having only some minor differences in vocabulary (e.g. blue becomes sad on the British version), five response categories rather than the six, and in question order.
Validation of the GWBI, in two samples of British patients with depression, indicated construct validity [19, 20] and high internal consistency reliability for the whole scale (in the range 0.92 – 0.96) . Ability to discriminate between subgroups in a primary care setting has also been demonstrated . Subscales were not recommended owing to their high inter-correlations and lack of adequate internal consistency (alpha scores were not supplied) , although alpha scores for PGWB subscales have been reported (ranging from 0.72 (Self-control) to 0.88 (Anxiety) . However, more recently Gaston and Vogl investigated the psychometric properties in an Australian non-clinical population and found three significant factors , rather than the six factors that might have been expected given that the GWBI is so similar to the six-subscale PGWB.
The Well-being Questionnaire (W-BQ)  is another generic measure of psychological well-being. The 12-item version, the W-BQ12, is derived from the longer W-BQ22 [23, 24], and which has been used in a number of studies to evaluate the effects of new treatments and interventions in diabetes [23–25], a condition for which it has good internal consistency and validity [25–27]. The W-BQ12, however, poses less respondent burden than the W-BQ22, and redresses an imbalance between numbers of positively worded and negatively worded items in the longer questionnaire . The W-BQ12 has been translated into several languages, and psychometric evaluations of these and the original English have confirmed its structure and reliability for people with diabetes [25–27] and it also has good psychometric properties for people with macular disease .
The two studies described here presented the opportunity to evaluate the psychometric properties of both the GWBI and W-BQ12 in a sample of adults with GHD at a London hospital. The first study was a cross-sectional survey of 157 adults with severe GHD, GH-treated and non-GH-treated, to investigate reliability, factor structure, construct and concurrent validity of the questionnaires. Sensitivity to change was investigated in a randomised placebo-controlled study of three months' withdrawal of GH treatment from 12 of 21 GH-treated adults, where nine continued with GH.
The GWBI has 22 questions each with five response options (scoring from 1 to 5), but worded differently for each question, to define the intended meaning (e.g. During the past two weeks, have you been waking up feeling fresh and rested? Every day – Most days – Less than half the time – Not often – Not at all). Half the items are positively worded, and half negatively worded. There are no recommended subscales. Scoring: The GWBI Total score is the sum of all 22 items (after reversing the negatively-worded items), and ranges 22 -110. Higher scores indicate worse well-being.
The 12 items of the W-BQ12 are simple statements (e.g. I feel afraid for no reason at all), and have four response options from 0 ('not at all') to 3 ('all the time'), identical in all 12 items. There are three subscales of four items each: Negative Well-being (all negatively worded items), Energy (two positively worded and two negatively worded items) and Positive Well-being (all positively worded). Scoring: Subscale scores range from 0 – 12 (higher scores indicating increased mood of the subscale label). The W-BQ12 General Well-being total score is the sum of all 12 items (after reversing the Negative Well-being item scores), and ranges from 0 – 36 (higher scores indicating better well-being).
Other questionnaires were also completed in these studies including the Nottingham Health Profile , the Short-form 36 (SF-36) , and a new hormone deficiency-specific individualised quality of life questionnaire (HDQoL) , the full results for which have been reported previously [32–34].
Study 1: The cross-sectional survey
Recruitment procedures have been fully described elsewhere , but in brief they were as follows. Participating patients had been diagnosed severely GH deficient as determined by an Insulin Tolerance or Pituitary Function Test in which insulin reduced blood glucose to ≤ 2.5 mmol/L with peak GH concentration ≤ 10 mU/L. Patients had either received GH-replacement therapy for at least six months immediately prior to the study or had not received GH treatment in the previous six months; were aged between 18–70 years; had received appropriate adrenal, thyroid and gonadal hormone replacement therapy as required by their hormonal condition, for at least 12 months prior to the study. Patients might have had adult or childhood onset of GHD. Exclusion criteria were diabetes mellitus, active malignancy or pregnancy.
Normality of distributions was investigated through standardised z (skew) values . Some questionnaire item distributions were skewed, and finding transformations for these variables that did not adversely affect normal distributions of other items in the same questionnaire proved difficult. Item data were not transformed to normality, thereby sacrificing some of the accuracy of reliability and factor analyses for the convenience of having interpretability of original units. The assumption was made that if reliability were high, the factor analysis robust, and the number of respondents sufficiently high, then a degree of non-normality was acceptable. In sub-group analyses, Mann-Whitney tests were performed on skewed variables, and t-tests on normal data.
Internal consistency reliability and factor structure
Cronbach's alpha coefficient  was determined with an acceptable minimum alpha being taken as 0.7 to 0.8, depending on the number of items in a scale , noting that some consider 0.9 as the minimum for measures of differences between individuals . Acceptable corrected item-total correlations are those >0.2 . Factor structure was explored using Principal Components extraction with Varimax rotation. Salient loadings were taken as ≥ 0.4, higher than the recommended minimum 0.3 , erring on the side of caution in an effort to reduce the risk of spurious loadings that owed their origin to non-normality of item distributions and to avoid multiple loadings.
Subgroup differences and 'familywise' error in multiple tests
The questionnaires' sensitivity to some subgroup differences was investigated (GH-treatment groups, and sex). The Holm's sequential Bonferroni procedure for multiple tests  was adopted in large correlation matrices and for the W-BQ12 and its subscales.
Correlations were undertaken with Mental Health, Vitality and Physical Functioning subscales of the widely used SF-36 health status measure also completed in this study . SF-36 subscale scores range from 0 to100, (higher scores indicating better functioning). Correlations >0.7 indicated adequate convergence .
Means are reported as mean (standard deviation).
Study 2: Prospective study of GH-withdrawal
Preliminary sensitivity to change was assessed in a small randomised, double-blind, placebo-controlled study where severely GH-deficient patients were allocated to placebo or continued treatment with GH for a period of three months. This study has been fully described elsewhere . The GWBI and W-BQ-12 (in a battery of several questionnaires) were completed at baseline and end-point. There was a general clinical expectation of deterioration in physiological factors during the study period for those withdrawn from GH treatment and that this might be accompanied by reduced psychological well-being.
The Guy's and St Thomas' Hospital Trust Ethics Committee gave approval for both studies and patients gave written informed consent before participating. Research was carried out in compliance with the Helsinki Declaration
The patient sample
Characteristics of the 157 patients in the cross-sectional survey
(Maximum N = 91)
No GH treatment
(Maximum N = 66)
Childhood onset of GHD
Adult onset of GHD
Multiple pituitary hormone deficiencies
Mean age (SD) in years
Mean duration GHD (SD) in years (adult onset patients)
Mean duration GH Treatment (SD) in years
BMI (kg/m2) (SD)
Height (cms) (SD)
The completion rates for the GWBI and W-BQ12 were very high (99.1% and 99.0% respectively) indicating excellent acceptability to respondents.
Reliability and factor analyses
GWBI loadings on unforced and forced 1-factor analyses‡
Factors in an unforced analysis
Q1 feel in general
Q2 bothered by nerves*
Q3 in firm control
Q4 sad hopeless*
Q5 under stress*
Q6 happy with personal life
Q7 losing control*
Q8 anxious upset*
Q9 wake up rested
Q10 illness pain*
Q11 life full of interest
Q12 disheartened sad*
Q13 stable sure
Q14 tired exhausted*
Q17 well enough to do things
Q18 energy vitality
Q19 worries about health*
Q20 active vigorous
% of variance
GWBI loadings on forced 6-factor analyses ‡
Q1 feel in general
Q2 bothered by nerves*
Q3 in firm control
Q4 sad hopeless*
Q5 under stress*
Q6 happy with personal life
Q7 losing control*
Q8 anxious upset*
Q9 wake up rested
Q10 illness pain*
Q11 life full of interest
Q12 disheartened sad*
Q13 stable sure
Q14 tired exhausted*
Q17 well enough to do things
Q18 energy vitality
Q19 worries about health*
Q20 active vigorous
GWBI whole-scale reliability was very high, (Cronbach's alpha 0.959, standardised item alpha 0.96, N = 152), probably indicating some item redundancy. Corrected item-total correlations ranged from 0.55 to 0.83 and were very respectable, no item would increase scale alpha if deleted. Reliability analysis of the three potential subscales (items loading highest on each factor in the unforced analysis, Table 2) indicated that Cronbach's alpha for the 14 items on Factor 1 (general mood/affect) was 0.949 (N = 154), for the six items on Factor 2 (life satisfaction/vitality) was 0.905 (N = 155) and for the two items on Factor 3 (poor physical health/somatic complaints) was 0.874 (N = 154).
Investigating possible item redundancy further, some items are similar in wording e.g. 'fears about health' appears in Q10 (Have you been bothered by any illness, pains or fears about your health?) and Q19 (Have you had any worries or fears about your health?); 'sad' is found in Q4 (Have you felt sad, discouraged or hopeless, so much so that you wondered if life was worthwhile?) and Q12 (Have you felt disheartened and sad?). When the unforced factor analysis was conducted with either item Q10 or Q19 deleted from the scale, two factors emerged, with the health item (Q10 or Q19) loading (>0.6) on Factor 2, and the remaining items loading as for the original 22-item scale.
W-BQ12 loadings on forced 3-factor and 1-factor analyses ‡
Factors in forced 3-factor analysis
Forced 1-factor analysis
1: crying spells*(Negative Well-being)
2: downhearted* (Negative Well-being)
3: afraid no reason* (Negative Well-being)
4: upset panicky* (Negative Well-being)
5: energetic active (Energy)
6: dull sluggish* (Energy)
7: worn out* (Energy)
8: wake rested (Energy)
9: happy (Positive Well-being)
10: lived life wanted (Positive Well-being)
11: eager tackle tasks (Positive Well-being)
12: cope (Positive Well-being)
A high Cronbach's alpha (0.93) was obtained for the whole scale (N = 148). Corrected item-total correlations were satisfactory (>0.5). The alpha coefficients were very high for each of the 4-item subscales: Negative Well-being (0.86, N = 153), Energy (0.86, N = 152) and Positive Well-being (0.88, N = 154), with corrected item-total correlations >0.65. No item would increase scale or subscale alpha if deleted.
Means for men and women in the cross-sectional survey
Significance of differences
Mean (SD) [Median]
(Minimum N = 71)
Mean (SD) [Median]
(Minimum N = 81)
48.07 (15.27) 
53.70 (16.76) 
t(150) = -2.15, p = 0.033
General Well-being total
24.50 (7.86) 
20.55 (8.23) 
t(154) = 3.05, p = 0.003
1.84 (2.32) 
3.68 (2.89) 
U = 1853.5, p < 0.001, N = 157
6.87 (3.32) 
5.92 (3.20) 
n.s (p = 0.07)
7.47 (3.16) 
6.36 (3.33) 
n.s (p = 0.035)*
Correlations with duration of GH treatment
There were significant negative correlations between duration of GH treatment and GWBI Total (r = -0.36, p = 0.001, N = 85) and W-BQ12 Negative Well-being (rho = -0.37, p < 0.001, N = 88) and significant positive correlations (N = 88) with W-BQ12 Total (r = 0.35, p = 0.001), Positive Well-being (r = 0.33, p = 0.002), and Energy (r = 0.23, p = 0.029). Thus, the longer the duration of GH treatment (ranging from 0.5 to 10 years in this patient sample), the better the well-being.
Concurrent validity with SF-36 subscales
GWBI Total correlated strongly and negatively with SF-36 Mental Health (-0.83) and Vitality (-0.82) but had lower correlations with Physical Functioning (-0.47) as might be expected. W-BQ12 General Well-being total correlated strongly with SF-36 Mental Health (0.80). W-BQ12 Energy correlated highly with Vitality (0.80); W-BQ12 Positive Well-being and Negative Well-being correlated moderately highly with SF-36 Mental Health (0.73 and -0.74 respectively), but their correlations with Physical Functioning were lower (-0.31 to 0.49) as expected. Negative correlations were obtained, as expected, where questionnaires are scored in the opposite direction. Note: all correlations were Spearman's rho and significant, p <0.001, 2-tailed, N ranged from 142 to 157.
The data of 21 patients (age range 25–68 years), all but two with multiple pituitary hormone deficiencies, were available for analysis: 12 placebo-treated (6 men and 6 women) and nine GH-treated (4 men and 5 women). Three months after baseline the serum total Insulin-like Growth Factor-I of placebo-treated patients fell from normal, age-related levels, mean 26.6 (13.2) nmol/L, to levels indicative of severe GHD, 11.6 (6.7) nmol/L, (p <0.001). Only a small, non-significant decrease was noted in GH-treated patients. Full details are provided elsewhere .
Completion rates of both GWBI and W-BQ12 were 100% in this study. A significant between-group difference in change scores in W-BQ12 Energy was found [t(18) = 3.25, p = 0.004, 2-tailed] with scores of Placebo-group patients dropping from 6.83 (3.64) at baseline to 5.9 (4.12) at end-point, indicating reduced energy, while GH-treated patients' scores increased from 7.06 (2.08) to 8.13 (1.25) over this period. GWBI Total showed no significant change (p = 0.24).
The two studies described here have made a useful contribution towards the psychometric validation of two well-being questionnaires for use in adult growth hormone deficiency: the General Well-being Index and the 12-item version of the Well-being Questionnaire.
Despite only minor changes made to a few words and to item order when adapting the Psychological General Well-being Index for use in Britain , a forced 6-factor analysis of the British GWBI did not find the 22 items factoring out separately into PGWB subscales such as anxiety or self-control. Unforced factor analysis, however, produced three factors (albeit with substantial double loading), largely confirming the factors labelled as 'general mood/affect', 'life satisfaction/vitality', 'poor physical health/somatic complaints' in the earlier study by Gaston and Vogl, conducted with a non-clinical sample . GWBI Factor 1 items (present study) covered several aspects of affect, and positive and negative well-being did not factor out separately as in the W-BQ12. Vitality (GWBI) items loaded together with positive well-being on Factor 2, but with the W-BQ12, the value of having a separate energy subscale was demonstrated in that W-BQ12 Energy was the only scale sensitive to change in the GH-Withdrawal study. Although the GWBI has a weak physical health factor, accounting for just 11% or the variance, this reflects the fact that one of the six subscales of the original PGWB concerned general health. However, the GWBI could not be described as a measure of health status as only a small proportion of items (3/22) concern physical health perceptions.
The internal consistency reliability of the whole GWBI scale was very high (>0.95) indicating that there may well be redundancy of items, particularly as two pairs of items are similarly worded, adding unnecessarily to respondent burden. The two general health items loading on Factor 3 in the unforced factor analysis had similar wording, and one or the other would appear to be redundant (if either were deleted from the scale then only two factors emerged in the unforced analysis). Although the reliability of the three potential GWBI subscales was high, overlap is considerable and we agree with the recommendation by McKenna et al  that there are no clear subscales to the questionnaire, and only a total score should be calculated.
Factor analysis of the W-BQ12 indicated three relatively clean factors providing evidence for W-BQ12 subscales of Negative Well-being and Positive Well-being and, although two W-BQ12 Energy items double loaded, it was possible to interpret the third W-BQ12 factor as an Energy subscale. There was support for the calculation of a total score for the questionnaire. The internal consistency reliability of subscales and W-BQ12 General Well-being combined scale was excellent. This high value would not indicate item redundancy, however, (as in the case of the GWBI), because the W-BQ12 is considerably shorter than the GWBI and none of the items are similar to each other (as in the GWBI).
Both well-being questionnaires had very high completion rates indicating good acceptability to patients, an indication of face validity. The strong correlations of both questionnaires with appropriate scales of the SF-36 (Mental Health and Vitality) but lower correlations with SF-36 Physical Functioning gave support for the concurrent validity of both questionnaires. The moderate correlations with Physical Functioning, however, indicate that well-being is associated with some aspects of health status.
There was preliminary evidence for construct validity in both GWBI and W-BQ12, although no prior hypotheses were formulated. Both questionnaires found significant differences between men and women, with women having generally lower well-being than men. It is a common finding that, in the general population, women have reduced well-being compared with men [43, 44], although not all studies have found this . Women with GHD have also tended to exhibit lower levels of well-being than men . Both questionnaires showed correlations indicative of improving well-being for GH-treated patients with longer periods of GH treatment, as seen in previous research . However, neither questionnaire found significant GH treatment-group differences either because the questionnaires were insufficiently sensitive to treatment-group differences, or there were no real differences in well-being between the two groups, possibly as a result of the fact that symptomatic patients were more likely to have been selected for treatment by the doctors in the clinics. Indeed none of the other questionnaires used in the study found GH-treated patients to have significantly better patient-reported outcomes (including health status and condition-specific quality of life) than non-treated patients . It is possible, but perhaps more unlikely, that those receiving GH were not all adhering to the injection regimen (the patients' Insulin-like Growth Factor-I data at the time of the study were not collected).
The small sample size in the GH-Withdrawal study resulted in low power of analysis but, as anticipated, W-BQ12 Energy found a significant between-treatment-group difference in change scores over the withdrawal period, with reduced energy in placebo-treated patients at end-point. This provided a very preliminary indication of the W-BQ12's sensitivity to change, (there was no significant finding for the GWBI). This is in line with results of a study in which GH was discontinued in young adults with GHD  where a significant increase in psychological complaints (on the Hopkins Symptom Checklist ) was found after 6 months' discontinuation, although not across 12 months' discontinuation. It is possible that the 3-month withdrawal period of the present study was not long enough for significant change to be registered by the GWBI. All the previous studies of GH-replacement therapy that found significant improvement in psychological well-being using the PGWB, had a minimum 6 months' duration [13, 14, 17]. Further work on sensitivity to change with this patient group would be valuable in a larger and longer-term longitudinal intervention study, where GH treatment is being offered, not withdrawn.
The American PGWB has been the most widely used measure of psychological well-being in adult GHD, its six subscales sensitive to change in several studies of GH replacement. The British GWBI, on the hand, has no subscales, and the present study has confirmed that none can be recommended. This could be a disadvantage in this hormonal condition where low energy, increased anxiety and depression are key psychological aspects. Therefore, on the evidence provided by the present studies, the W-BQ12 can be recommended in preference to the GWBI to measure psychological well-being in adult GHD because the W-BQ12 has:
excellent reliability, both of the whole scale and of the three subscales, with no indication of item redundancy;
a clear factor structure supporting the use of subscales of Negative Well-being, Energy and Positive Well-being;
fewer items (12 compared with 22 in the GWBI) and shorter response options (these are relatively long and vary from item to item in the GWBI, causing greater respondent burden);
preliminary evidence of sensitivity to change.
To cover a wider range of patient-reported outcomes in adult GHD, it is recommended that the generic W-BQ12 be used in a battery of questionnaires that includes a generic measure of health status (e.g. the SF-36 ) and the HDQoL hormone deficiency-specific quality of life questionnaire .
The W-BQ12 is recommended in preference to the GWBI to measure well-being in adult GHD as it is shorter, has useful subscales, has excellent internal consistency reliability with no indication of redundancy of items, and has preliminary indications of sensitivity to change.
Copyright of W-BQ questionnaire
For access to and licence to use the W-BQ, contact the copyright holder, Clare Bradley PhD, Professor of Health Psychology, Health Psychology Research, Royal Holloway, University of London, Egham, Surrey, TW20 0EX. Email: email@example.com.
CM was funded by a research studentship from Lilly Industries Ltd, who also provided partial funding for JG. We acknowledge valuable assistance from Louise Breen, Research Nurse at the Endocrine Clinic of St Thomas' Hospital, and from John Valentine, statistician at Royal Holloway, University of London, and the essential contributions of participants in the studies.
- Carroll PV, Christ ER, Growth Hormone Research Society Scientific Committee : Growth hormone deficiency in adulthood and the effects of growth hormone replacement: a review. Journal of Clinical Endocrinology and Metabolism 1998,83(2):382–395. 10.1210/jc.83.2.382PubMedView ArticleGoogle Scholar
- Hunt SM, McKenna SP, Doward LC: Preliminary Report on the development of a disease-specific instrument for assessing quality-of-life of adults with growth hormone deficiency. Acta Endocrinol 1993, 128: 37–40.PubMedGoogle Scholar
- Wallymahmed ME, Baker GA, Humphris G, Dewey M, MacFarlane IA: The development, reliability and validity of a disease specific quality of life model for adults with growth hormone deficiency. Clin Endocrinol 1996,44(4):403–411. 10.1046/j.1365-2265.1996.704523.xView ArticleGoogle Scholar
- Powrie J, Weissberger A, Sönksen P: Growth hormone replacement therapy for growth hormone-deficient adults. Drugs 1995,49(5):656–663.PubMedView ArticleGoogle Scholar
- McMillan CV, Bradley C, Gibney J, Russell-Jones DL, Sönksen PH: Preliminary development of the new individualised HDQoL questionnaire measuring quality of life in adults hypopituitarism. Journal of Evaluation in Clinical Practice, in press.
- McKenna SP, Doward LC, Alonso J, Kohlmann T, Niero M, Prieto L, Wiren L: The QoL-AGHDA: An instrument for the assessment of quality of life in adults with growth hormone deficiency. Qual Life Res 1999,8(4):373–383. 10.1023/A:1008987922774PubMedView ArticleGoogle Scholar
- Bradley C: Importance of differentiating health status from quality of life. Lancet 2001,357(9249):7–8. 10.1016/S0140-6736(00)03562-5PubMedView ArticleGoogle Scholar
- Dupuy HJ: The Psychological General Well-being Index (PGWB). In Assessment of Quality of Life in Clinical Trials of Cardiovascular Therapies. Edited by: Wenger NK, Mattson ME, Furburg CD, Elinson J. New York , Le Jacq Publishing Inc; 1984.Google Scholar
- Whitehead HM, Boreham C, McIlrath EM, Sheridan B, Kennedy L, Atkinson AB, Hadden DR: Growth-hormone treatment of adults with growth-hormone deficiency - Results of a 13-month placebo controlled cross-over study. Clin Endocrinol 1992,36(1):45–52.View ArticleGoogle Scholar
- Burman P, Broman JE, Hetta J, Wiklund I, Erfurth EM, Hagg E, Karlsson FA: Quality-of-Life in adults with Growth-Hormone (GH) Deficiency - Response to treatment with recombinant human GH in a placebo-controlled 21-month trial. J Clin Endocrinol Metab 1995,80(12):3585–3590. 10.1210/jc.80.12.3585PubMedGoogle Scholar
- Baum HBA, Katznelson L, Sherman JC, Biller BMK, Hayden DL, Schoenfeld DA, Cannistraro KE, Klibanski A: Effects of physiological growth hormone (GH) therapy on cognition and quality of life in patients with adult-onset GH deficiency. J Clin Endocrinol Metab 1998,83(9):3184–3189. 10.1210/jc.83.9.3184PubMedGoogle Scholar
- McGauley G, Cuneo RC, Salomon F, Sönksen P: Psychosocial well being before and after growth hormone treatment in adults with growth hormone deficiency. Hormone Research 1990, 33:(Suppl. 4):52–54.View ArticleGoogle Scholar
- Mardh G, Lundin K, Borg G, Jonsson B, Lindeberg A: Growth hormone replacement therapy in adult hypopituitary patients with growth hormone deficiency: combined data from 12 European placebo-controlled clinical trials. Endocrinology and Metabolism 1994, 1:(Suppl.A):43–49.Google Scholar
- Carroll PV, Littlewood R, Weissberger AJ, Bogalho P, McGauley G, Sönksen PH, Russell-Jones DL: The effects of two doses of replacement growth hormone on the biochemical, body composition and psychological profiles of growth hormone-deficient adults. European Journal of Endocrinology 1997,137(2):146–153. 10.1530/eje.0.1370146PubMedView ArticleGoogle Scholar
- Mukherjee A, Tolhurst-Cleaver S, Ryder WD, Smethurst L, Shalet SM: The characteristics of quality of life impairment in adult growth hormone (GH)-deficient survivors of cancer and their response to GH replacement therapy. J Clin Endocrinol Metab 2005,90(3):1542–1549. 10.1210/jc.2004-0832PubMedView ArticleGoogle Scholar
- Svensson J, Mattsson A, Rosen T, Wiren L, Johannsson G, Bengtsson BA, Koltowska Haggstrom M: Three-years of growth hormone (GH) replacement therapy in GH-deficient adults: effects on quality of life, patient-reported outcomes and healthcare consumption. Growth Horm IGF Res 2004,14(3):207–215. 10.1016/j.ghir.2003.12.001PubMedView ArticleGoogle Scholar
- Wiren L, Bengtsson BA, Johannsson G: Beneficial effects of long-term GH replacement therapy on quality of life in adults with GH deficiency. Clin Endocrinol 1998,48(5):613–620. 10.1046/j.1365-2265.1998.00462.xView ArticleGoogle Scholar
- Gilchrist FJ, Murray RD, Shalet SM: The effect of long-term untreated growth hormone deficiency (GHD) and 9 years of GH replacement on the quality of life (QoL) of GH-deficient adults. Clin Endocrinol (Oxf) 2002,57(3):363–370. 10.1046/j.1365-2265.2002.01608.xView ArticleGoogle Scholar
- Hunt SM, McKenna SP: A British adaptation of the General Well-being Index: a new tool for clinical research. British Journal of Medical Economics 1992, 2: 49–60.Google Scholar
- McKenna SP, Hunt SM, Tennant A: Psychological Well-Being in Depressed-Patients. Int J Methods Psychiatr Res 1993,3(4):245–251.Google Scholar
- Hopton JL, Hunt SM, Shiels C, Smith C: Measuring psychological well-being. The adapted general well- being index in a primary care setting: A test of validity. Fam Pr 1995,12(4):452–460.View ArticleGoogle Scholar
- Gaston JE, Vogl L: Psychometric properties of the general well-being index. Qual Life Res 2005,14(1):71–75. 10.1007/s11136-004-0793-zPubMedView ArticleGoogle Scholar
- Bradley C: The Well-being Questionnaire. In Handbook of Psychology and Diabetes: A Guide to Psychological Measurement in Diabetes Research and Practice. Edited by: Bradley C. Chur, Switzerland , Harwood Academic Publishers; 1994:89–109.Google Scholar
- Bradley C, Lewis KS: Measures of psychological well-being and treatment satisfaction developed from the responses of people with tablet-treated diabetes. Diabetic Med 1990,7(5):445–451.PubMedView ArticleGoogle Scholar
- Witthaus E, Stewart J, Bradley C: Treatment satisfaction and psychological well-being with insulin glargine compared with NPH in patients with Type 1 diabetes. Diabetic Med 2001,18(8):619–625. 10.1046/j.1464-5491.2001.00529.xPubMedView ArticleGoogle Scholar
- Pouwer F, Snoek FJ, Van Der Ploeg HM, Ader HJ, Heine RJ: The Well-being Questionnaire: evidence for a three-factor structure with 12 items (W-BQ12). Psychol Med 2000,30(2):455–462. 10.1017/S0033291700001719PubMedView ArticleGoogle Scholar
- Plowright R, Witthaus E, Bradley C: Evaluating the 12-item Well-being Questionnaire for use in multinational trials. Quality of Life Research 1999, 8: 650.Google Scholar
- Riazi A, Ishii H, Barendse S, et al.: Well-being questionnaire (W-BQ): Translation and psychometric development of a short form (W-BQ12) in Japanese. Proceedings of the British Psychological Society 1999, 7: 34.Google Scholar
- Mitchell J, Bradley C: Psychometric evaluation of the 12-item Well-being Questionnaire for use with people with macular disease. Qual Life Res 2001,10(5):465–473. 10.1023/A:1012540100613PubMedView ArticleGoogle Scholar
- Hunt SM, McEwen J, McKenna SP: Measuring Health-Status - a New Tool for Clinicians and Epidemiologists. Journal of the Royal College of General Practitioners 1985,35(273):185–188.PubMed CentralPubMedGoogle Scholar
- Ware JE, Sherbourne CD: The MOS 36-Item Short-Form Health Survey (SF-36). 1. Conceptual framework and item selection. Med Care 1992,30(6):473–483.PubMedView ArticleGoogle Scholar
- McMillan CV, Bradley C, Gibney J, Russell-Jones DL, Sönksen PH: Evaluation of two health status measures in adults with growth hormone deficiency. Clinical Endocrinology 2003, 58: 436–445. 10.1046/j.1365-2265.2003.01736.xPubMedView ArticleGoogle Scholar
- McMillan CV, Bradley C, Gibney J, Healy ML, Russell-Jones DL, Sönksen PH: Psychological effects of withdrawal of growth hormone therapy from adults with growth hormone deficiency. Clinical Endocrinology 2003,59(4):467–475. 10.1046/j.1365-2265.2003.01870.xPubMedView ArticleGoogle Scholar
- McMillan CV: A psychometric evaluation of measures of quality of life and related health outcomes in adults with growth hormone deficiency. (PhD Thesis). In Psychology Department. London , Royal Holloway, University of London; 2001.Google Scholar
- Tabachnik BG, Fidell LS: Using Multivariate Statistics. 1st edition. New York , Harper and Row; 1983.Google Scholar
- Cronbach LJ: Coefficient alpha and the internal structure of tests. Psychometrika 1951, 16: 297–334. 10.1007/BF02310555View ArticleGoogle Scholar
- Todd C, Bradley C: Evaluating the design and development of psychological scales. In Handbook of Psychology and Diabetes: A Guide to Psychological Measurement in Diabetes Research and Practice. Edited by: Bradley C. Chur, Switzerland , Harwood Academic Publishers; 1994.Google Scholar
- Nunnally JC: Psychometric Theory. New York , McGraw Hill; 1978.Google Scholar
- Kline P: A Handbook of Test Construction. London , Routledge; 1993.Google Scholar
- Kline P: An Easy Guide to Factor Analysis. London , Routledge; 1994.Google Scholar
- Holm S: A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics 1979, 6: 65–70.Google Scholar
- Bech P: Methodological issues in individual quality of life assessment. In Individual Quality of Life: Approaches to conceptualisation and assessment. Edited by: Joyce CR, O'Boyle CA, McGee H. Amsterdam , Harwood Academic Publishers; 1999.Google Scholar
- Hunt SM, McKenna SP: The Nottingham Health Profile. In European Guide to the Nottingham Health Profile. Edited by: Bucquet D. Montpellier, France , The European Group for Quality of Life and Health Measurement; 1989:1–75.Google Scholar
- Brazier JE, Harper R, Jones NMB, Ocathain A, Thomas KJ, Usherwood T, Westlake L: Validating the SF-36 Health Survey Questionnaire - new outcome measure for primary care. BMJ 1992,305(6846):160–164.PubMed CentralPubMedView ArticleGoogle Scholar
- Stouthart PJ, Deijen JB, Roffel M, Delemarre-van de Waal HA: Quality of life of growth hormone (GH) deficient young adults during discontinuation and restart of GH therapy. Psychoneuroendocrinology 2003,28(5):612–626. 10.1016/S0306-4530(02)00045-8PubMedView ArticleGoogle Scholar
- Derogatis LR, Lipman RS, Rickels K, Uhlenhuth EH, Covi L: The Hopkins Symptom Checklist (HSCL): a self-report symptom inventory. Behav Sci 1974,19(1):1–15.PubMedView ArticleGoogle Scholar
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