Journal of Antivirals & Antiretrovirals

Journal of Antivirals & Antiretrovirals
Open Access

ISSN: 1948-5964

+44 1300 500008

Research Article - (2015) Volume 7, Issue 2

A Comparative Study of Health Related-Quality of Life Among HIV Patients on Pre-HAART and HAART in Uyo South-South Nigeria

Olugbemi Oluseyi Motilewa1*, Uwemedimbuk Smart Ekanem1, Adedeji Onayade2 and Salami S Sule3
1University of Uyo Teaching Hospital, Uyo, Nigeria, E-mail: u.smart.e@uni.ng
2Obafemi Awolowo University, Ile-Ife, Nigeria, E-mail: u.smart.e@uni.ng
3National Post graduate Medical College, Ijanikin, Nigeria, E-mail: u.smart.e@uni.ng
*Corresponding Author: Olugbemi Oluseyi Motilewa, University of Uyo Teaching Hospital, Uyo, Nigeria, Tel: 234803485275 Email:

Abstract

Assessing health related quality of life (HR-QOL) in people living with HIV/AIDS (PLWHA) has the potential to give an insight into the patients' perception of the burden of the disease and assess the effect of management. The aim of this study was to assess the HR-QOL in HIV patients who present for treatment in Uyo. The study is a prospective longitudinal study of PLWHA attending HIV clinics. One hundred and sixty-one newly diagnosed HIV patients were recruited by systematic sampling technique proportionately to the two public hospitals in Uyo. The patients were classified into Pre-HAART and HAART groups based on their eligibility to commence HAART. WHOQOL-HIV Bref was the instrument used at recruitment and at four months. Data was analyzed using STATA 10 statistical package. At recruitment, the HR-QOL of the Pre-HAART respondents was better than the HAART respondents across the domains, except for spirituality. While at four months both groups became similar except at social and environmental domains where Pre HAART fared better. Both groups showed improvement after four months. Provision of appropriate HIV care to an infected person within a short term is associated with improvement in their HR-QOL.

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Keywords: Health related quality of life; Human immunodeficiency virus; Highly active antiretroviral therapy; Pre- Highly active antiretroviral therapy

Introduction

Human immunodeficiency virus (HIV) and acquired immune disease syndrome (AIDS) have been of a great concern to the global community in the last three decades. It is estimated that over 34 million people are infected worldwide and this group of people continue to suffer from the disease with deterioration on their quality of life (QOL) [1]. The world health organization (WHO) defines quality of life as individual perceptions of his/her position in life in the context of the culture and value system in which he/she lives and in relation to his/her goals, expectations, standards and concerns. It is also said to be the perceived physical and mental health over time [2,3].

Health related quality of life (HR-QOL) has been widely applied in evaluating the effects of treatment on different populations and as such has become an important measurable outcome of treatment in the era of highly active antiretroviral treatment (HAART), rather than the traditional outcomes of mortality, number of survival, occurrence of opportunistic infections CD4 count and viral load [4-6]. With the advent of HAART in 1996 [7], people living with HIV/AIDS (PLWHA) now live a longer life due to the effectiveness of HAART in suppressing viral load and reducing HIV related morbidity and mortality, they now have to cope with living with a chronic disease [8]. Both the disease and its treatment affect the QOL of the patients, and up to 50% of patients on HAART may experience adverse effects of the medication and this may interfere with individual’s ability to adhere to the regimen [9,10].

Cluster of differentiation antigen 4 (CD4) has been found to be associated with QOL especially in the physical and psychological domains [11]. The CD4 serves as a co- receptor for HIV and CD+ T cells decline over time with a commiserate reduction in the immune response integrity, which is limited by the use of HAART [12]. Studies have also shown that QOL also declined with increased in clinical staging and with increased number of symptoms at presentation [13]. Fatigue which is a common symptom associated with HIV especially at the late stage of the disease is associated with poor QOL [12].

Comorbidities had been demonstrated in various studies to have negative impact on HRQOL especially the physical domain [14,15]; socio demographic characteristics are other determinants of QOL among others [14].

Nigeria has the second highest burden of HIV/AIDS globally with a prevalence of 4.1% and about 3.1 million people living with the virus [16] with over 400,000 people on HAART. This study therefore compared the HRQOL experiences of PLWHA on HAART and those yet to commence HAART over a four-month period, and also provided specific information about QOL.

Materials and Methods

Study setting

Uyo is the capital city of Akwa Ibom state in the south-south geopolitical region of Nigeria. Akwa Ibom is one of the oil producing states of the Niger Delta with a population of 3,095.021 and Uyo has a population of 305,961 based on 2006 population census [17]; majority of the people depend on farming and fishing for their livelihood.

The state had HIV sero-prevalence of 10.9% as at the year 2010 [16]. There are two hospitals in the city that offer comprehensive antiretroviral services; University of Uyo teaching hospital (UUTH) and St Luke’s hospital Anua (SLHA) with several health centres providing HIV counseling and testing and prevention of mother to child transmission (PMTCT) services.

Study design

This was a four month prospective longitudinal study of HIV infected persons enrolled into care at UUTH and SLHA in Uyo.

Study population

Study population was newly enrolled HAART naïve HIV patients attending ART clinics of UUTH and SLHA for the first time. These eligible respondents were however classified as belonging to Pre- HAART or HAART groups depending on their eligibility to commence HAART or otherwise as follows:

HAART group were eligible respondents with CD4 count of less than 350 count/ml and or WHO clinical staging of 4.

Pre-HAART group were eligible respondents with CD4 counts greater than 350/ml and clinical staging of 1, 2 or 3.

Eligible patients who declined, or were less than 18 years of age were excluded from the study, as well as those on treatment for other chronic disease conditions.

Sample size determination

A pilot study was previously done in a neighboring town Ukaniba to determine the proportions of HIV naïve individuals (HAART and Pre-HAART) who had good QOL at the end of four months in care. The result showed that 60% of HAART and 83% of Pre HAART had good overall QOL.

A minimum sample size of 65 per group was obtained using formula for two independents proportions.

equation

The computed sample size was proportionally allocated to the two hospitals to reflect the load of new cases seen per month. The respondents were recruited into the study by serial selection of every other new patient who presented to the hospital until the allotted sample sizes were attained.

Data collection

The quality of life was assessed using the bref version of World Health Organization’s disease specific instrument (WHOQOL-HIV Bref). The items are grouped into 6 domains, (physical, psychological, level of independence, social, environmental and spirituality). And in addition, is an item on the overall quality of life [18,19]. The attending doctor determined eligibility to HAART using clinical staging and CD4 count after which the above instrument was intervieweradministered, other information like CD4 and staging of the disease was obtained from the patients’ records.

Data analysis

Data was cleared, entered and analyzed using STATA version 10 statistical package. The overall QOL was dichotomized into good (score of 4 and 5) and poor (scores of 1, 2, 3), the domains scores were also dichotomized into good (score of 12 and above) and poor (scores below 12). QOL along with other categorical variables were summarized using simple proportions, chi squared was used to test for association between variables. Mean and standard deviation were used to summarize variables that are normally distributed like CD4 count and age, while t test was used as test of association. Significant level was set at 5%.

Ethical considerations

The research was granted ethical clearance and approval by the Ethical Review Committee of the University of Teaching Hospital, an approved consent form was signed by the respondents.

Results

A total 161 participants were successfully followed up for the four months period. Sixty-eight were Pre HAART and 93 were HAART group.

Table 1 shows that socio demographic characteristics were similar in both groups, the mean age of the respondents was 32.1 years and 66.5% of them are female, about 70% of the respondents had at least secondary education and about 60% of them lived as single. Most of the respondents presented at a late clinical stage (stages 3 and4).

Socio-demographic and clinical variables Groups n (%) Total (n=161) Statistical indices
Pre-HAART (n=68) HAART (n=93)
Age (Years)
<20 2 (2.9) 1 (1.1) 3 (1.9) χ2=8.006
Df=4
P value=0.075*
20-29 32 (47.1) 33 (35.5) 65 (40.4)
30-39 16 (23.5) 37 (39.8) 53 (32.9)
40-49 18 (26.5) 19 (20.4) 37 (23.0)
50 and above 0 (0) 3 (3.2) 3 (1.9)
Mean (SD) 31.7 (9.5) 32.45 (8.5) 32.1 (8.9) 0.707
Sex
Male 21 (30.9) 33 (35.5) 54 (33.5) χ2=0.3731
Df=1
P value=0.541
Female 47 (69.1) 60 (64.5) 107 (66.5)
Level of Education
No formal education 0 (0) 1 (1.1) 1 (0.6) χ2=3.4542
Df=3
P value=0.303*
Primary 24 (35.3) 24 (25.8) 48 (29.8)
Secondary 20 (29.4) 38 (40.9) 58 (36.0)
Tertiary 24 (35.3) 30 (32.3) 54 (33.5)
Marital Status
Single 27 (39.7) 47 (50.5) 74 (46.0) χ2=8.6117
Df=4
P value=0.076*
Married 31 (45.6) 33 (35.5) 64 (39.8)
Cohabiting 4 (5.9) 0 (0) 4 (2.5)
Separated 2 (2.9) 6 (6.5) 8 (5.0)
Widowed 4 (5.9) 7 (7.5) 11 (6.8)
CD4 Count
Mean 488.03     t-test
P value=0.0001+
Df=159
SD 141.66 95.29 201.76
Disease stage
Early (stage 1&2) 33 (48.53) 14 (15.05) 47 (29.19) χ2=21.2948
Df=1
P value=0.0001+
Late (stage 3&4) 35 (51.46) 79 (84.95) 114 (70.8)
Center
SLHA 59 (86.8) 86 (92.5) 145 (90.1) χ2=1.43018
Df=1
P value=0.232
UUTH 9 (13.2) 7 (7.5) 16 (9.9)

*Fischer’s exact test; +significant p value

Table 1: Socio-demographic characteristics of the respondents who were successfully followed up in Uyo.

Table 2 shows the HR-QOL of respondents at baseline. There were significant differences at the overall QOL and in all the domains except the spirituality domains. Table 3 shows the HR-QOL of the respondents at 4 months in care. The domains were similar in both groups though social and environmental domains showed significant difference.

Quality of life domains Groupn (%) Total (n=161) Statistical indices
Pre HAART(n=68) HAART(n=93)
Physical
Good
Poor
51 (75.0)
17 (25.0)
53 (57.0)
40 (43.0)
104 (64.6)
57 (35.4)
χ2=5.5715
Df=1
P value=0.018+
Psychological
Good
Poor
45 (66.2)
23 (33.8)
32 (34.4)
61 (65.6)
77 (47.8)
84 (52.2)
χ2=15.8863
Df=1
P value=0.0001+
Level of independence
Good
Poor
56 (82.4)
12 ( 17.6)
58 (62.4)
35 (37.6)
114 (70.8)
47 (29.2)
χ2=7.5915
Df=1
P value=0.006+
Social relationship
Good
Poor
55 (80.8)
13 (19.2)
62 (66.7)
31 (33.3)
117 (72.7)
44 (27.3)
χ2=3.9968
Df=1
P value=0.046+
Environment
Good
Poor
47 (69.1)
21 (30.9)
46 (49.5)
47 (50.5)
93 (57.8)
68 (42.2)
χ2=6.2199
Df=1
P value=0.013+
Spirituality
Good
Poor
47 (69.1)
21 (30.9)
62 (66.7)
31 (33.3)
109 (67.7)
52 (32.3)
χ2= 0.1079
Df=1
P value=0.743
Overall QOL
Good
Poor
38 (55.9)
30 (44.1)
20 (21.5)
73 (78.5)
58 (36.0)
103 (64.0)
χ2=20.1413
Df=1
P value=0.0001+

+significant p value

Table 2: HR-QOL of the respondents at recruitment (baseline) in Uyo.

Quality of life domains Groups n (%) Total (n=161) Statistical indices
Pre HAART (n=68) HAART (n=93)
Physical
Good
Poor
57 (83.8)
11 (16.2)
86 (92.5)
7 (7.5)
143 (88.8)
18 (11.2)
χ2=2.96
Df=1
P value=0.085
Psychological
Good
Poor
53 (77.9)
15 (22.1)
70 (75.3)
23 (24.7)
123 (76.4)
38 (23.6)
χ2=0.16
Df=1
P value=0.693
Level of independence
Good
Poor
60 (88.2)
8 (11.8)
84 (90.3)
9 (9.7)
144 (89.4)
17 (10.6)
χ2=0.18
Df=1
P value=0.67
Social relationship
Good
Poor
63 (92.7)
5 (7.4)
70 (75.3)
23 (24.7)
133 (82.6)
28 (17.4)
χ2=3.26
Df=1
P value=0.004+
Environment
Good
Poor
37 (54.4)
31 (45.6)
36 (38.7)
57 (61.3)
73 (45.4)
88 (54.7)
χ2=3.91
Df=1
P value=0.048+
Spirituality
Good
Poor
58 (85.3)
10 (14.7)
81 (87.1)
12 (12.9)
139 (86.3)
22 (13.7)
χ2=0.11
Df=1
P value=0.74
Overall QOL
Good
Poor
58 (85.3)
10 (14.7)
69 (74.2)
24 (25.8)
127 (78.9)
34 (21.1)
χ2=2.91
Df=1
P value=0.08

Table 3: HR-QOL of Pre HAART and HAART respondents at 4 months in Uyo.

After 4 months in care the pre-HAART respondents had better QOL in all the domains except the environmental domain, however significant changes were only observed in respect to psychological, social and spirituality domains and the overall QOL (Table 4). For the HAART respondents, significant proportion has better QOL in the physical psychological, level of independence, spirituality and the overall QOL at four month (Table 5).

Quality of life Time Statistical indices
Baseline(n=68) 4 month(n=68)
Physical
Good
Poor
51 (75.0)
17 (25.0)
57 (83.8)
11 (16.2)
χ2=1.6190
Df=1
P value=0.23
Psychological
Good
Poor
45 (66.2)
23 (33.8)
53 (77.9)
15 (22.1)
χ2=4.7715
Df=1
P value=0.029+
Level of independence
Good
Poor
56 (82.4)
12 (17.6)
60 (88.2)
8 (11.8)
χ2=0.9379
Df=1
P value=0.333
Social relationship
Good
Poor
55 (80.9)
13 (19.1)
63 (92.7)
5 (7.3)
χ2=4.0979
Df=1
P value=0.043+
Environment
Good
Poor
47 (69.1)
21 (30.9)
37 (54.4)
31 (45.6)
χ2=3.1136
Df=1
P value=0.078
Spirituality
Good
Poor
47 (60.3)
21 (30.9)
58 (85.3)
10 (14.7)
χ2=5.0556
Df=1
P value=0.025+
Overall QOL
Good
Poor
38 (39.6)
30 (75.0)
58 (60.4)
10 (25.0)
χ2=14.1667
Df=1
P value=0.0001+

+significant p value

Table 4: HR-QOL of Pre- HAART respondents at baseline and 4 months in Uyo.

Quality of life Time n (%) Statistical indices
Baseline(n=93) 4 months(n=93)
Physical
Good
Poor
53 (57.0)
40 (43.0)
86 (92.5)
7 (7.5)
χ2=31.0047
Df=1
P value =0.0001+
Psychological
Good
Poor
32 (34.4)
61 (65.6)
70 (75.3)
23 (24.7)
χ2=31.3473
Df=1
P value =0.0001+
Level of independence
  Good
Poor
58 (62.4)
35 (37.6)
84 (90.3)
9 (9.7)
χ2=20.1242
Df=1
P value=0.0001+
Social relationship
Good
Poor
62 (66.7)
31 (33.3)
70 (75.3)
23 (24.7)
χ2=1.6700
Df=1
P value=0.196
Environment
Good
Poor
46 (49.5)
47 (50.5)
36 (38.7)
57 (61.3)
χ2=2.1811
Df=1
P value=0.140
Spirituality
Good
Poor
62 (66.7)
31 (33.3)
81 (87.1)
12 (12.9)
χ2=10.9198
Df=1
P value=0.001+
Overall QOL
Good
Poor
20 (21.5)
73 (78.5)
69 (74.2)
24 (25.8)
χ2=51.7301
Df=1
P value=0.0001+

*Fischer’s exact test; +Significant P value

Table 5: Health related quality of life of HAART respondents at baseline and 4 months in Uyo.

Table 6 showed the overall QOL of all the patients after four months, patient who presented as early stage were more likely to have good QOL than those who presented late, there was significant relationship between the QOL and marital status, however the was no significant difference and between the pre HAART and HAART overall QOL.

Characteristics Overall QOL Total (n=161) Statistical indices
Good (n=127) Poor (n=34)
Age (Years)
<20
20-29
30-39
40-49
50 and above Mean (SD)
3(100.0)
47(72.3)
44(83.0)
32(86.5)
1(33.3) 32.3 (8.3)
0(0.0)
18(27.7)
9(17.0)
5(13.5)
2(66.7) 31.3(8.3)
3(100.0)
65(100.0)
53(100.0)
37(100.0)
3(100.0) 32.1(8.9)
χ2=3.2438
Df=1
P value=0.072* Df=159
Tt=-0.6299
P value=0.530
Sex
Male
Female
47(87.0)
80(74.8)
7(13.0)
27(25.2)
54(100.0)
107 (100.0)
χ2=3.0549
Df=1
P value=0.104
Level of Education
No formal education
Primary
Secondary
Tertiary
1(100.0)
33(68.8)
46(79.3)
47(87.0)
0(0.0)
15(31.3)
12(20.7)
7(13.0)
1(100.0)
48(29.8)
58(100.0)
54(33.5)
χ2=5.3880
Df=1
P value=0.132*
Marital status
Single
Married
Cohabiting
Separated
Divorced
56(75.7)
55(85.9)
4(100.0)
3(37.5)
9(81.8)
18(24.3)
9(14.1)
0(0.0)
5(62.5)
2(18.2)
74(100.0)
64(100.0)
4(100.0)
8(100.0)
11(100.0)
χ2=11.7210
Df=4
P value=0.030*+
Disease stage
Early stage
Late stage
101 (84.9
26(61.9)
18(15.1)
16(38.1)
119 (100.0)
42(100.0)
χ2=9.8317
Df=1
P value=0.002+
Health facilities
SLHA
UUTH
113 (77.9)
14(87.5)
32(22.1)
2(12.5)
145 (100.0)
16(100.0)
χ2=0.7921
Df=1
P value=0.526*
Regimen
Pre HAART
HAART
58(85.3)
69(74.2)
10(14.7)
24(25.8)
68(100.0)
93(100.0)
χ2=2.9055
Df=1
P value=0.088

*Fischer’s exact test;+Significant P value

Table 6: Health related quality of life and socio demographic characteristics of the respondents at the end of four months in care.

Discussion

The highest proportion (40%) of the total respondents in this study was within age group 20-29 years, with the mean age of 32.12 (± 8.8), 20-39 years, the age range with the highest proportion of HIV nationally [16,20]. This suggests that age group (20-29) is an important risk group in HIV epidemic in Uyo. Over 60% of the respondents were female; this is similar to the finding of a study done in Kogi state [21], WHO also stated that over 50% of the PLWHA are women and young girls. Women and young girls are vulnerable both biologically and socially, most times they cannot bargain for safe sex because they are not empowered [22]. High prevalence of HIV among women has an additional implication in mother to child transmission, especially for those who are not aware of their status. This study also showed that 71% of the patients presented at the late stage of the disease, this showed that people wait till they start having symptoms before they screened for HIV, this reflects poor voluntary counselling and testing (VCT) uptake in our setting, and this contributes to the spread of the disease.

Studies have shown that patients with low CD4 count have low mean scores in Physical domain, daily activities and social activities [13]. This study demonstrated similar pattern, HR QOL of the pre HAART group was better across all the domains compared to the HAART group except in the spirituality domains at baseline. The level of spirituality is high in both groups this may be due to the fact that most people become more religious when they suffer from chronic disease, because of their hope for divine intervention and as a way of coping with the disease condition [23]. A study in India showed that early stage of HIV and better social support has a positive influence on all the domains of QOL [24].

The physical domain assesses the impact of the disease on the individuals in terms of pain and discomfort, lack of energy and sleep; it is also the domain of most symptoms. It has been documented that presence and severity of symptoms are associated with lower physical domain score and overall QOL [25]. The psychological domain which assesses the individual’s thought about body image and appearance, negative or positive feelings and self-esteem worsened with advanced disease. In Asia that patients with HIV related stigma have low psychological scores [26,27]. A study in India reported better daily routine activities (level of independence) and social activities in asymptomatic patients compared to those with AIDS defining symptoms [27]. In a study in Bangladesh, it was observed that asymptomatic patients have better QOL in the level of independence domain; they can still perform their normal activity [26].

At the end of four months, the QOL of the social relationship and environmental domains of the Pre HAART were better than the HAART group, the differences in other domains and the overall QOL were not significant. The use of HAART must have caused a considerable improvement in HR QOL over four months, similar to what is obtainable in other studies [28,29]. A cross sectional study done in Kogi state among PLWHA who were already on ARVs, revealed that the QOL of both social relationship and environment were poor[21]. ARVs may not have been able to show any significant impact on social relationship and environment. Social relationship domain assesses personal relationship, social support and sexual activity of the patients. Family support has been demonstrated to have positive effect on most domains especially social and environmental domains [28-30] in this study about 65% of respondents in HAART group were single, separated or widowed, this may explain why they have poor QOL in those domains. Social support for these patients has been documented to influence HR QOL positively [31].

The Pre HAART group showed considerable improvement over four months, in the overall quality of life and in the psychological, social relationship and spirituality domains, despite the fact that, this group of patients were not on antiretroviral drugs. This improvement might be as a result of constant counselling sessions and health education at the clinics, as well as the treatment of concomitant infections. Physical, level of independence and environment domains did not show any significant difference. The improvement seen in Pre HAART group emphasizes the importance of non-pharmacological interventions for PLWHA. This is worth noting in order to sustain the social support given to HIV patients in form of home visit, support groups and given of food items occasionally [32].

This study showed that the use of HAART for four months is associated with significant improvement in the overall quality of life and across four of the domains. A study in Uganda showed significant improvement in HR QOL at the third month of therapy [28,33]. In South Africa, patients on HAART showed improvement in three of the five domains of the Euro-Qol 5D instrument, when compared to patients awaiting HAART [34]. At the end of the four month the HR QOL of both HAART and Pre HAART became similar, while factors like marital status and clinical stage at presentation were significantly associated with the overall HRQOL of the patients, socio demographic characteristics like age and sex showed no relationship.

Conclusion

This study showed that being in care improves the HR QOL of PLWHA for both Pre HAART and HAART groups. The importance of early diagnosis of HIV became very apparent in this study. Other non-pharmacological interventions like counselling, care and support should be emphasized in the management of HIV. The assessment of HR QOL of patients should be included in the routine care as a measure of outcome of disease management rather than depending entirely on clinical or laboratory outcomes.

References

  1. Power M (1998) Development of the World Health Organization WHOQOL-BREF quality of life assessment. The WHOQOL Group. Psychol Med 28: 551-558.
  2. Shumaker SA, Ellis S, Naughton M (1997) Assessing health-related quality of life in HIV disease: key measurement issues. Qual Life Res 6: 475-480.
  3. Hays RD, Cunningham WE, Sherbourne CD, Wilson IB, Wu AW, et al. (2000) Health-related quality of life in patients with human immunodeficiency virus infection in the United States: results from the HIV Cost and Services Utilization Study. Am J Med 108: 714-722.
  4. Call SA, Klapow JC, Stewart KE, Westfall AO, Mallinger AP, et al. (2000) Health-related quality of life and virologic outcomes in an HIV clinic. Qual Life Res 9: 977-985.
  5. Brecht JR, Breitbart W, Galietta M, Krivo S (2001) Rosenfeld Bet al The use of highly active antiretroviral therapy (HAART) in patients with advanced HIV infection: Impact on medical, palliative care and quality of life outcomes. J Pain Symptom Manage 21: 41-51.
  6. Grossman H (2006) The Dramatic Impact of Highly Active Antiretroviral treatment. MedGenMed 8: 57.
  7. Palella FJ Jr, Delaney KM, Moorman AC, Loveless MO, Fuhrer J, et al. (1998) Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV Outpatient Study Investigators. N Engl J Med 338: 853-860.
  8. Kalichman SC, Ramanchadran B, Ostrow D (1998) Protease inhibitors and new AIDS combination therapies: implications for psychological services. Profess psychol 29: 349-356.
  9. Carr A, Cooper DA (2000) Adverse effects of antiretroviral therapy. Lancet 356: 1423-1430.
  10. Jelsma J, Maclean E, Hughes J, Tinise X, Darder M (2005) An investigation into the health-related quality of life of individuals living with HIV who are receiving HAART. AIDS Care 17: 579-588.
  11. Eller LS1 (2001) Quality of life in persons living with HIV. ClinNurs Res 10: 401-423.
  12. Ana CR, Leonor L, Marina PG, Eduado R (2010) Relationship among psychopathological symptoms, treatment adherence and quality of life in HIV/AIDS infection. Psicol. Reflex Crit 23: 420-429.
  13. Liu C, Johnson L, Ostrow D, Silvestre A, Visscher B, et al. (2006) Predictors for lower quality of life in the HAART era among HIV-infected men. J Acquir Immune DeficSyndr 42: 470-477.
  14. Jia H, Uphold CR, Zheng Y, Wu S, Chen GJ, et al. (2007) A further investigation of health-related quality of life over time among men with HIV infection in the HAART era. Qual Life Res 16: 961-968.
  15. National AIDS/STI control programme (2010) National HIV sero-prevalence sentinel survey (HSS).
  16. Federal Population of Nigeria Official Gazette report of the 2006 final results.
  17. (1998) Development of the World Health Organization WHOQOL-BREF quality of life assessment. The WHOQOL Group. Psychol Med 28: 551-558.
  18. Rosen S, Larson B, Brennan A, Long L, Fox M, et al. (2010) Economic outcome of Patients Receiving Antiretroviral Therapy for HIV/AIDS in South Africa Are Sustained Through Three Years on Treatment. PLoS ONE 5: e12731.
  19. Fatiregun AA, Mofolorunsho KC, Osagbemi KG (2009) Quality of life of people living with HIV/AIDS in Kogi State Nigeria. Benin Journal of Postgraduate Medicine 11: 21-27.
  20. Ironson G, Stuetzle R, Fletcher MA (2006) An increase in religiousness/spirituality occurs after HIV diagnosis and predicts slower disease progression over 4 years in people with HIV. J Gen Intern Med 21 Suppl 5: S62-68.
  21. Rai Y, Tanusree D. Anit KG (2010) Quality of life of HIV-infected people across different stages of infection. Journal of Happiness study 2: 61-69.
  22. National Population Commission, Nig& ICF Marcon USA (2008) National Demographic and Health survey.
  23. Ana CR, Leonor L, Marina PG, Eduado R (2010) Relationship among psychopathological symptoms, treatment adherence and quality of life in HIV/AIDS infection. Psicol Reflex Crit 23: 420-429.
  24. Imam MH, Karim MR, Ferdous C, Akhter S (2011) Health related quality of life among the people living with HIV. Bangladesh Med Res Counc Bull 37: 1-6.
  25. Mahalakshmy T, Premarajan K, Hamide A (2011) Quality of life and its determinants in people living with human immunodeficiency virus infection in puducherry, India. Indian J Community Med 36: 203-207.
  26. Stangl AL, Wamai N, Mermin J, Awor AC, Bunnell RE (2007) Trends and predictors of quality of life among HIV-infected adults taking highly active antiretroviral therapy in rural Uganda. AIDS Care 19: 626-636.
  27. Mannheimer SB, Matts J, Telzak E, Chesney M, Child C, et al. (2005) Quality of life in HIV-infected individuals receiving antiretroviral therapy is related to adherence. AIDS Care 17: 10-22.
  28. Wig N, Lekshmi R, Pal H, Ahuja V, Mittal CM, et al. (2006) The impact of HIV/AIDS on the quality of life: a cross sectional study in north India. Indian J Med Sci 60: 3-12.
  29. Tramarin A, Parise N, Campostrini S, Yin DD, Postma MJ, et al. (2004) Association between diarrhea and quality of life in HIV-infected patients receiving highly active antiretroviral therapy. Qual Life Res 13: 243-250.
  30. Shan D, Ge Z, Ming S, Wang L, Sante M, et al. (2011) Quality of life and related factors among HIV-positive spouses from serodiscordant couples under antiretroviral therapy in Henan Province, China. PLoS One 6: e21839.
  31. Louwagie GM, Bachmann MO, Meyer K, BooysenFle R, Fairall LR, et al. (2007) Highly Active Antiretroviral Treatment and Health related quality of life in South African adults with HIV infection: a cross sectional analytical study. BMC Public Health 7: 244-254.
Citation: Motilewa OO, Ekanem US, Onayade A, Sule SS (2015) A Comparative Study of Health Related-Quality of Life Among HIV Patients on Pre-HAART and HAART in Uyo South-South Nigeria. J Antivir Antiretrovir 7:060-068.

Copyright: © 2015 Motilewa OO, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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