Literature DB >> 21772908

Associates of poor physical and mental health-related quality of life in beta thalassemia-major/intermedia.

Azita Azarkeivan1, Bashir Hajibeigi, Seyed Moayed Alavian, Maryam Moghani Lankarani, Shervin Assari.   

Abstract

BACKGROUND: Using two logistic regression models, we determined the associates of poor physical and mental health related quality of life (HRQoL) among beta thalassemia patients.
METHODS: In this cross-sectional study which was conducted during 2006 and 2007 in outpatient adult thalassemia clinic, Blood Transfusion Organization, Tehran, Iran, Short Form 36 (SF-36) was used for measuring HRQoL in 179 patients with beta thalassemia (major/intermedia). We determined scores higher than third quartiles of obtained PCS and MCS scores as the cutoff points of good HRQoL. Poor HRQoL was defined scores lower than first quartiles of obtained PCS and MCS scores. Two distinct logistic regression models were used to derive associated variables including demographic, clinical, and psychological factors.
RESULTS: The regression models suggested that poor physical HRQoL was positively associated with somatic comorbidities (OR = 1.472, CI = 1.021-2.197, p = 0.048) and depression score (OR = 8.568, CI = 2.325-31.573, p = 0.001). The variables that were associated with poor mental HRQoL were anxiety score (OR = 9.409, CI = 1.022-89.194, p = 0.049) and depression score (OR = 20.813, CI = 4.320-100.266, p < 0.001).
CONCLUSIONS: Depression is associated with both poor physical and mental HRQoL among patients with major/intermedia beta thalassemia, however somatic comorbidities and anxiety are associated with poor physical and mental HRQoL, respectively.

Entities:  

Keywords:  Anxiety; Depression; Health Related Quality of Life; Somatic Comorbidities; Thalassemia

Year:  2009        PMID: 21772908      PMCID: PMC3129078     

Source DB:  PubMed          Journal:  J Res Med Sci        ISSN: 1735-1995            Impact factor:   1.852


Beta thalassemia is the most common form of hemolytic anemia,1 and every year approximately 60,000 thalassaemic babies are born worldwide.2 With the availability of better transfusion regimen, iron chelation therapy, proper management of complications and good supportive care, it is now possible for a thalassemic patient to have a near normal life span with a good health related quality of life (HRQoL).1 As a result, attention has shifted to the well being of the patients with thalassemia.3 Health-related quality of life (HRQoL) refer to the physical and mental aspects of health, seen as different areas that are influenced by human's experiences, beliefs, expectations, and perceptions.4 Due to its problems related to career, finding partners, establishing a family (due to infertility), and waning social support,5 patients with transfusion dependent thalassemia tend to have impaired HRQoL. Transfusion-independent thalassemia patients also suffer serious impairment in QoL.6 HRQoL should now be considered an important index of effective health care in thalassemia, however there is very little published work on evaluation of QoL in thalassemia.7 In the present study, we sought to determine the associated factors of poor HRQoL among patients with intermedia/major beta thalassemia.

Methods

In this cross-sectional study, 200 consecutive patients with intermedia/major beta thalassemia with a minimum age of 18 years old from both genders were invited. Exclusion criteria were association with mental retardation or handicap. The patients were recruited between 2006 and 2007 from the outpatient adult thalassemia clinic, Blood Transfusion Organization, Tehran, Iran. The study was approved by the Ethical Committee on Human Research of Baqiyatallah University of Medical Sciences and prior to taking part written informed consent was obtained from all participants. A detailed, structured interview was conducted for each patient and trained research assistants helped them completing the checklist and health questionnaires. The checklist contained demographic data (age, gender, marital status, living place, weight, height, monthly family income and patients’ educational status).

Somatic Comorbidities

Somatic comorbidities were assessed by using Ifudu score. The Ifudu comorbidity scale is a numerical index for monitoring the patients with chronic illnesses and assessing the medical comorbidity. Except hematologic problems (excluding anemia) and psychological disorders which were not considered in this study, this scale evaluates: 1) ischemic heart disese, 2) non-ischemic heart disease, 3) lung disease, 4) neurologic, 5) muskuloskeletal, 6) rheumatoid condition, 7) ophthalmological, 8) urogenital, 9) infectious, 10) biliary conditions and 11) limb amputation. This modified version of Ifudu have a score between 0 and 33, because each item is scored from 0 (comorbidity absent) to 3 (severe comorbidity). The higher is the index, the greater is the comorbidity.8

Hospital Anxiety and Depression Score (HADS)

Symptoms of anxiety and depression were assessed using the translated version of Hospital Anxiety Depression Scale (HADS). HADS has been previously validated for the Iranian population.9 The HADS contains 14 items and two subscales: anxiety and depression. Each item is scored from 0 to 3, giving maximal scores of 21 for anxiety and depression.10 Scores that are higher than or equal to 11 on either subscale are considered a significant case of psychological morbidity (clinical caseness).11

Health Related Quality of Life

HRQoL of patients was measured using the Medical Outcomes Study 36-Item Short Form Health Survey (SF-36).12 The SF-36 is a generic multidimensional measure of HRQoL that contains eight subscales representing physical functioning, social functioning, role limitations due to physical health problems, role limitations due to emotional problems, mental health, vitality, bodily pain and general health perceptions. Higher scores of each subscale (0-100) indicating better HRQoL. The physical and mental components of eight scales were combined into physical component summary (PCS) and mental component summary (MCS) scores.13 A total SF-36 score has been also introduced and used previously.1415 The SF-36 has proved reliable and valid in Iranian general population 16 and also Iranian thalassemic patients.17

Statistical Analysis

In this study, we used PCS and MCS scores separately at the dependent variable; total SF-36 and subscales scores were not included. The SF-36 questionnaires were completed by the patients, but in some cases an interviewer assistant was needed. To define what SF-36 scores signified a poor HRQoL, we needed two cutoff points for SF-36 scores to define poor and good HRQoL. We defined scores higher than third quartiles of obtained PCS and MCS scores as the cutoff points for good HRQoL. Poor HRQoL was defined scores lower than first quartiles of obtained PCS and MCS scores.

HRQoL Prediction

Using the cutoff values calculated in the previous step, the SF-36 scores of the patients were converted to a binominal outcome variable (poor/good HRQoL). Forward (likelihood ratio) logistic regression model was used to quantify associations between the assumed predictor variables and this binominal outcome variable in either of physical and mental components. A logistic regression model involves some independent (predictor) variables (nominal or continuous) that may be used to predict a dependent (outcome) binominal variable. The input variables to both models (assumed predictors of HRQoL) included age (year), gender (female = 0, male = 1), marital status (married = 0, single = 1), level of education (above high school diploma = 0, below high school diploma = 1), living place (village = 0, city =1), monthly family income (below 300 US$ = 0, above 300 US$ = 1), duration of disease (month), thalassemia type, HCV (negative = 0, positive = 1), desferal received (no = 0, yes = 1), Body Mass Index (BMI) ( < 30 = 0, ≥ 30 = 1), somatic comorbidities (0-33), anxiety (score 0-21) and depression (score 0-21). The significance level for each variable's entry to the model was set at 0.05. All statistical analyses were performed using SPSS version 13.0 for Windows. Descriptive indices including frequency, percentage, mean, standard deviation (SD), median, and the first and third quartiles (Q1 and Q3) were used to express data. The input variables were compared between two groups (good/poor physical or mental HRQoL) using the Chi square test for categorical variables and the student t test or the Mann-Whitney U test for continuous variables, as appropriate. P values less than 0.05 were considered significant.

Results

From the 200 invited patients, 172 agreed to participate. The mean (SD) scores of different subscales and summary scores of SF-36 among all patients are presented in table 1. From the 172 patients, 47 patients had poor and 46 patients had good physical HRQoL; 45 patients had poor and 46 patients had good mental HRQoL.
Table 1

Mean and standard deviation of SF-36 subscale and summary scores

Mean and standard deviation of SF-36 subscale and summary scores The patients with poor and good physical and mental HRQoL are compared by means of gender, somatic comorbidities and thalassemia type and desferal recieve, in table 2.
Table 2

Comparison of different chronic conditions among patients with good and poor HRQoL

Comparison of different chronic conditions among patients with good and poor HRQoL

Regressors of Poor Physical HRQoL

The regression models suggested that poor physical HRQoL was positively associated with somatic comorbidities (OR = 1.472, CI = 1.021-2.197, p = 0.048) and depression score (OR = 8.568, CI = 2.325-31.573, p = 0.001).

Regressors of Poor Mental HRQoL

The variables associated poor mental HRQoL were anxiety score (OR = 9.409, CI = 1.022-89.194, p = 0.049) and depression score (OR = 20.813, CI = 4.320-100.266, p < 0.001). (Table 3, Table 4).
Table 3

The summary of regression analysis of physical and mental HRQoL scores

Table 4

The summary of multiple logistic regression analysis for poor physical and mental HRQoL

The summary of regression analysis of physical and mental HRQoL scores The summary of multiple logistic regression analysis for poor physical and mental HRQoL

Discussion

According to our study, among patients with intermedia/major beta thalassemia, depression symptoms are associated with HRQoL, in both physical and mental aspects. High somatic comorbidities and anxiety are also linked with decreased HRQoL in physical and mental aspects of HRQoL, respectively. The only previous study in this field has been conducted on 39 children with thalassemia and has shown that psychological status is a significant predictor of impaired HRQoL. The authors suggested the recognition and management of the psychological problems accompany poor HRQoL in thalassemia.5 The finding of this study about negative impact of anxiety and depression on HRQoL in thalassemic patients is consistent with previous studies in other chroinc conditions.18–23 It has been demonstrated that individuals with comorbid medical illness and anxiety have significantly greater impairment with HRQoL than patients without anxiety.2425 Regarding the possible mechanism of the link between anxiety and depression with HRQoL, we can point to the evidences which have documented their negative impact on functioning in a number of areas, including work functioning, social functioning, and health.2627 HRQoL among depressed adults is more impaired than those with diabetes, hypertension and chronic lung disease.28 Anxiety is also associated with negative outcomes, including decreased work productivity,29 impaired work, family and social functioning,30 physical disability,3132 and even mortality.33 Thalassemia has a great negative impact on the well being of the patients. Preserving good HRQoL is one of the major targets in clinical management of thalaeemic patients, and the importance of assessing HRQoL in thalassemic patients has been highlighted in different studies.6734 It is believed that these assessments can provide complementary clinical information, which can significantly help the hematologists about the patient's health status. Very limited research has been conducted in the field of HRQoL in thalassemia. As a result, the impact of thalassemia major and thalassemia intermedia and their associated complications on HRQoL is largely unknown.6 However thalassemic patients begin blood transfusions, and most use desferrioxamine, but iron-related complications, including life-threatening ones such as heart disease, affect patients and limit patients life.35 The most commonly reported affected domains in thalassemia patients were feelings such as anxiety, depression, and concern of overall health status or indications of recent deterioration in health. In contrast with previous beliefs, transfusion-independent thalassemia patients also suffer serious impairment in QoL. Presented data suggest that all patients with thalassemia undergo QoL assessment so that interventions focused on affected domains can be implemented.6 A previous study reported a higher total neuroticism, anxiety, phobia, somatic anxiety, obsession, and depression in thalassemic patients than controls. The interview with parents of thalassemic adolescents exposed various behavioral problems in these adolescents. Thalassemic adolescents were having higher scores in neuroticism. Some behavioral problems are also found to exist along with neurotic manifestations. There remains a need to improve the management of thalassemia in terms of psychological aspects in order to improve the mental health of this group.36 Some studies demonstrate that 80% of thalassemia major patients at least suffer from one psychiatry disorder.37 Depression has been listed as a major cause of morbidity in beta-thalassemia.38 Rate of depression in thalassemic patients is higher than the controls, and it has been suggested that all patients with thalassemia major and intermedia should undergo depression assessment so that suitable interventions can be implemented.39 High rate of depression have been also reported in other documents.4041

Conclusions

Those who get affected will face many stresses in their whole life, including frequent blood samplings for laboratory tests, multiple transfusions and frequent subcutaneous injections of iron chelator drugs, which altogether will make the patient susceptible to psychological burden namely depression and anxiety.39–41 Moreover, restrictions in social activities, fear, pain and worries about diagnostic procedures, which always induce stress, are other predisposing factors for anxiety and depression in these population.42 According to the literature, the depression needs attention in thalassemia, because, thalassemia and depression are linked.43 Other psychological aspects of the disease also needs attention, because the psychological burden is not limited to depression, however self-image, quality of life and the way of coping with the thalassemic patients may be impaired. Self-image is found to be low with feeling of insufficiency and being exposed to vulnerability in most of patients. Personality characterized includes somatization (SOM), depression (DEP) and obsessive-compulsive traits. The principal coping strategy used seems to be escape-avoidance.44 Literature has suggested that all patients with thalassemia undergo QoL assessment so that interventions focused on affected domains can be implemented.6 In this approach, current study shed more light regarding the anxiety and depression and somatic comorbidities in patients with intermedia/major beta thalassemia, on this limiting chronic condition.

Authors’ Contributions

AA participated in most of the experiments and provided assistance in the design of the study. BH carried out the design and coordinated the study. SMA carried out the design and coordinated the study . MML participated in design and data analysis. SA carried out the design and edited the manuscript. He also participated in data analysis. All authors have read and approved the content of the manuscript.
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Journal:  Int J Clin Exp Med       Date:  2014-08-15

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Authors:  Mehdi Javanbakht; Ali Keshtkaran; Hossien Shabaninejad; Hassan Karami; Maryam Zakerinia; Sajad Delavari
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Journal:  J Res Med Sci       Date:  2011-03       Impact factor: 1.852

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Authors:  Maryam Moghani Lankarani; Shervin Assari
Journal:  J Diabetes Metab Disord       Date:  2015-07-07

5.  Cross-Country Differences in the Additive Effects of Socioeconomics, Health Behaviors and Medical Comorbidities on Disability among Older Adults with Heart Disease.

Authors:  Shervin Assari
Journal:  J Tehran Heart Cent       Date:  2015-01-08

6.  Comorbidity influences multiple aspects of well-being of patients with ischemic heart disease.

Authors:  Shervin Assari; Maryam Moghani Lankarani; Khodabakhsh Ahmadi
Journal:  Int Cardiovasc Res J       Date:  2013-12-01

7.  Quality of life in patients with thalassemia major and intermedia in kerman-iran (I.R.).

Authors:  Hossein Safizadeh; Zahra Farahmandinia; Simin Soltani Nejad; Nasim Pourdamghan; Majid Araste
Journal:  Mediterr J Hematol Infect Dis       Date:  2012-10-03       Impact factor: 2.576

8.  Comparative effects of three iron chelation therapies on the quality of life of greek patients with homozygous transfusion-dependent Beta-thalassemia.

Authors:  Vasilis Goulas; Alexandra Kourakli-Symeonidis; Charalambos Camoutsis
Journal:  ISRN Hematol       Date:  2012-12-17

9.  Does Multi-morbidity Mediate the Effect of Socioeconomics on Self-rated Health? Cross-country Differences.

Authors:  Shervin Assari; Maryam Moghani Lankarani
Journal:  Int J Prev Med       Date:  2015-09-03

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Journal:  J Diabetes Metab Disord       Date:  2014-02-21
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