Amir Kabunga*, Sarah Nabuwufu, Augustine Bulitya, Binepe Bwambale Lhwanzo, Mariam Nakazibwe, Gloria Aleso and Fazira Namata
Department of Psychiatry, Lira University, Lira City, Uganda
Received Date: December 09, 2021; Accepted Date: December 23, 2021; Published Date: December 30 , 2021
Citation: Kabunga A, Nabuwufu S, Bultiya A, Lhwanzo BB, Nakazibwe M, et al. (2021) Religiosity and Health-Related Quality of Life in HIV Positive Young Adults Seeking Health Care In Alebtong District, Northern Uganda: A Cross-Sectional Study. Glob J Res Rev Vol.8 No.9
This study estimated religiosity and health related quality of life in HIV positive young adults aged 18-36 years seeking care in Alebtong District Northern Uganda. A descriptive, cross-sectional design was used in five health centers in Alebtong district, northern Uganda in April 2021. Positive religiosity is associated with better physical health (ß=0.52, P=0.01) and psychological health (ß=0.3, P=0.02). Negative religiosity was associated with poor health related quality of life domains of physical health (ß=0.43, P=0.02), psychological health (ß=0.75, P=0.02), social relationship health (ß=0.53, P=0.04) and environmental health (ß=-0.66, P=<0.01). The findings in this study show that religiosity is significantly associated with HRQOL. This underscores the importance of religiosity in the management of HIV positive patients. Religiosity should be an integral part of the HIV treatment program to the health related quality of life of HIV patients. The findings also suggest that HIV positive patients are likely to benefit from support in the community. Thus, there is a need to strengthen the collaboration between religious organizations in the management of HIV to improve the HRQOL.
HIV; Health facilities; Health quality of life; Religiosity; Young adults
Global trends in HIV infection show that HIV remains a major global public health concern and has claimed 33 million lives by 2019 [1]. Sub-Sahara Africa has a disproportionate liability of HIV, accounting for 71% of the global burden of infection [2]. Out of an estimated daily 6000 new infections occurring globally, two out of three are in Sub-Sahara Africa with young adults bearing a disproportionate burden [3]. HIV prevalence is nearly three times higher in young adults compared to those aged 15‑19 [4]. In Uganda, close to 1.5 million lived with HIV in 2019 [5]. While between 2000 and 2019, new HIV infections declined by 39% and HIV related deaths reduced by 51%, it continues to be a major cause of morbidity affecting the Health Related Quality of Life (HRQOL) of persons living with HIV [1,6]. To improve the HRQOL, the World Health Organization (WHO) emphasizes that religiosity be an integral part of the treatment and management of HIV [7]. However, although several studies have examined the HRQOL in patients with HIV, only a few have examined the influence of religiosity on HRQOL among HIV positive young adults especially in developing countries [8]. Religiosity is a person’s belief, spirituality, and relevance toward a divinity [9]. In this study, religiosity was operationally defined as meaning, peace, and faith [10] among HIV positive young adults. Available literature especially in developed countries indicates that individuals who have higher levels of religiosity tend to report lower CD4 counts, low sex risk behaviors, decreased viral loads, and, greater odds of HIV testing [11,13] HIV patients use religiosity as a source of hope and comfort to cope with the disease and the weaknesses it causes [14]. On the contrary, low levels of religiosity can affect the development of the disease, and HRQOL [15]. The study by Szaflarsk and colleagues showed that one-third of the HIV patients in the sample reported that their HRQOL improved due to religiosity among other factors [16]. Suggested that religiosity could be a potentially fruitful target for intervention to improve HRQOL [17]. However, some studies indicate that religiosity could have negative aspects on HRQOL [18]. Some HIV patients appeared to rely more on religiosity than biomedical treatment [18]. But, how widely spread this issue could be among HIV positive patients remains unknown but could impact HRQOL especially in low-income countries. Therefore, there is a need to understand the influence of religiosity on HRQOL among HIV young adults, especially in developing countries.
HRQOL refers to how an individual functions in their life, and their perceived wellbeing in mental, physical, and social aspects of health [19]. According to the World Health Organization (WHO), HRQOL is a collection of different elements concerning an individual and their environment including how they perceive their goal, expectations, and concerns [7]. A new “beyond viral suppression” model to add a “fourth 90” to the UNAID; 90-90-90 target is to ensure that 90% of people living with HIV with viral load suppression have a good HRQOL [20]. Earlier studies have indicated factors influencing HRQOL including socio-demographics, stigma, CD4 T lymphocytes count, poor ART adherence, and mental health, and social support, adherence to ART, psychological status, and religiosity [20,24]. However, these factors may vary from one setting to another and from one culture to another [20].
The 2016-2017 Uganda AIDS Indicator Survey reported HIV prevalence in the northern region, Alebtong district inclusive to be at 7.2% which is higher than the national rate of 6.2% [5]. This may be attributed to the two decades of war (1986-2006) in the region involving widespread atrocities including abduction, forced marriages, mass rapes, and displacement [25]. Thus, although the war ended in 2006, it continues to impact the health and wellbeing of the post-war conflict-affected people [26]. Research has been done to assess the HRQOL in HIV patients and other people with chronic diseases concerning psychological health [27,28]. However, research on HRQOL of young adults living with HIV remains limited especially in the rural settings. Besides, a review of Ugandan literature shows that very limited research has been conducted to assess the relationship between religiosity and HRQOL in HIV positive young adults. To address this gap, this study investigated religiosity and HRQOL in HIV positive young adults seeking care in Alebtong district health facilities in northern Uganda.
A cross-sectional study was conducted among HIV positive young adults in five health centers in Alebtong district, northern Uganda in April 2021. Alebtong district is located in the Lango sub region in northern Uganda. The district is bordered by Dokolo district to the south, Amuria district to the east, Otuke district to the north, and Lira district to the west. This is approximately 387 kms by road, north of Kampala, the capital city of Uganda. The HIV prevalence remains concentrated in northern, Alebtong inclusive may due to the impact of the two decades of war (1986-2006) in the region involving wide spread atrocities including abduction, forced marriages, mass rapes and displacement. Although the war ended in 2006, it continues to impact the health and wellbeing of the post war conflict affected people [26].
ParticipantsThe study population involved young adults aged 18-36 years attending Alebtong health centers. Statistics on HIV/AIDS in Uganda show that close to 1200 HIV positive young adults lived in the Alebtong district in 2019 [5]. The sample size of the participants was calculated using the formula for finite population Reid and Boore [29] where n=a sample size, N=the population size and e=significance level, taking alpha as 0.05. Thus, the sample size was 300. However, more participants above the minimum sample size were included in the study. We used a consecutive sampling technique to select the representative sample. Given the nature and availability of the respondents, every participant meeting the inclusion criteria was selected until the required sample size was achieved.
MeasurementsWe used a researchers’ generated questionnaire to collect data on socio demographics of the participants including age, gender, marital status, religious affiliation and, level of education. Religiosity was assessed using the Duke University Religion Index (DUREL). The five item scale assesses three major dimensions of Organizational Religious-Activity (ORA), Non organizational Religious Activity (NRA), and Intrinsic Religiosity (IR) [30]. Organizational and Non Organizational items were rated on a six point likert scale. Intrinsic Religiosity consisted of three items on a five point likert scale. The sub scales are examined indecently, with a higher score indicating higher ORA, NRA, and IR [30]. The DUREL has been validated in both clinical and community settings [30].
The World Health Organization Quality of Life BREF (WHOQOL-BREF) was administered to collect data on HRQOL. WHOQOL-BREF is a 26 item rated on a five-point Likert scale ranging from 1 (not at all to five (completely) [31]. The instrument has been validated among people living with HIV in Uganda [32]. The 24 facets of WHOQOL-BREF measure four domains of a person’s perception with the last two weeks namely: psychological health, physical health, relationship with one’s environment, and social relationships [31]. Two items assess the overall quality of life and satisfaction with general health. The domain scores were calculated and transformed using WHOQOL-BREF SPSS syntax file. The transformed scores on a scale ranging from 0 to 100 with higher scores indicating a better quality of life and vice-versa [33]. In this study, the Cronbach alpha values were 0.88 for physical health, 0.75 for psychological health, 083 for environmental health and 0.71 for social relationships.
The study participants were young adults of age 18-36 years attending Alebtong health centers. Five research assistants with data collection experience were recruited to collect data and they were under the supervision of the principal investigator. One-day training was given to data collectors to help them know the purpose of the study and the rights of the respondents either to decline or participate. Data collection was carried out for 10 days in April 2021. Each participant with HIV attending health centers and meeting the criteria was invited to participate in the study. Those who agreed to participate were informed about the purpose of the study. The informed consent document was read to the potential participant and signed after agreeing to participate.
Data analysisData were summarized by descriptive statistics including frequency, means, standard deviation, ranges, and percentages. The relationships between social-demographics factors and religiosity and HRQOL were assessed. We also performed ANOVA analysis to establish the relationship between independent groups. We conducted a multiple linear regression test to assess the correlation of components of religiosity and HRQOL after controlling for social-demographics factors. For all statistical tests, significant levels of P ≤ .05 were used. SPPSS for windows version 23 was used to perform statistical analyses.
Results in Table 1 show that overall, 363 respondents, 53.7% were female, 74.6% were single, 46.5% had A-Level education, 34.7% were Catholics, 20.9% were Muslims, 29.7% were Protestants, 14.0% belonged to others and young (mean age, 33.3 ± 10.7). 26.9% of the participants reported that religion was attuned to treatment. Regarding religion and treatment, 26.7% believed it was indispensable.
Mean/Frequency | Std./Percentages | |
---|---|---|
Age (years) | 33.3 | 10.7 |
Gender | ||
Female | 195 | 53.7 |
Male | 168 | 46.2 |
Education level | ||
Primary education | 10 | 2.7 |
O-Level | 92 | 25.3 |
A-Level | 169 | 46.5 |
Post-secondary | 92 | 25.3 |
Marital status | ||
Single | 271 | 74,6 |
Married | 72 | 19.8 |
Widowed/Separated | 20 | 5.5 |
Religious affiliation | ||
Catholics | 126 | 34.7 |
Muslims | 76 | 20.9 |
Protestants | 108 | 29.7 |
Others | 52 | 14.3 |
Religion and treatment | ||
Not needed | 55 | 15.1 |
Somehow needed | 59 | 16.2 |
Needed | 77 | 21.2 |
Much needed | 74 | 20.3 |
Indispensable | 98 | 26.9 |
A-Level=Advanced secondary level of education, O-Level=Ordinary secondary level of education
Table 1: Socio-demographic characteristics of 363 HIV positive young adults.
Results in Table 2 show that religiosity was 17.5±6.9 for positive religiosity and 11.4 ± 4.4 for negative religiosity. Respondents reported mean scores of 3.4 ±1.3 for ORA, 4.1±1.8 for NRA, and 6.6 ± 3.5 for IR. The transformed scores for the WHOL-BREF scale indicate that respondents reported 63.2±15.5 for physical health, 55.1±18.1 for psychological health, 57.9±21.1 for social relationships, 61.5±16.6, and for environmental health. For overall HRQOL the respondents reported a mean score of 3.54 ± 0.9.
Variable | Mean | SD |
---|---|---|
Religiosity | ||
Positive | 17.5 | 6.8 |
Negative | 11.4 | 4.4 |
Religious commitment | ||
ORA | 3.4 | 1.3 |
NRA | 4.1 | 1.8 |
IR | 6.6 | 3.5 |
HRQOL | ||
Physical health | 64.2 | 15.5 |
Psychological health | 55.1 | 18.1 |
Social relationships health | 57.9 | 21.1 |
Environment health | 61.5 | 16.6 |
Overall HRQOL | 3.54 | 0.9 |
Table 2: Religiosity, religious commitment and HRQOL domains.`
Table 3 shows that on DUREL, the highest mean scores were reported among the Catholics (4.3 ± 1.4) and IR (12.0 ± 2.8). The Muslims reported the highest positive religiosity (22.4 ± 5.4).
Religious affiliation | ||||
---|---|---|---|---|
Mean (SD) | Catholics | Protestants | Islam | P-Value |
Religious commitment | ||||
ORA | 4.3 ± 1.4 | 3.0 ± 1.1 | 3.7 ± 1.2 | |
NRA | 3.5 ± 1.8 | 2.3 ± 1.4 | 3.6 ± 1.7 | <0.01 |
IR | 12.0 ± 2.8 | 9.5 ± 3.0 | 11.6 ± 3.2 | |
Religiosity | ||||
Positive | 20.4 ± 5.7 | 15.6 ± 6.2 | 22.4 ± 5.4 | <0.01 |
Negative | 12.9 ± 5.2 | 11.2 ± 4.7 | 14.1 ± 6.1 | |
HRQOL | ||||
Physical | 64.8 ± 15.8 | 65.0 ± 15.5 | 60.6 ± 18.6 | |
Psychological | 57.0 ± 18.1 | 55.2 ± 18.1 | 56.7 ± 21.7 | <0.01 |
Social relationships | 58.5 ± 19.9 | 59.4 ± 17.3 | 60.3 ± 23.5 | |
Environment | 63.5 ± 18.0 | 62.8 ± 13.8 | 59.2 ± 20.6 |
Table 3: Religiosity, religious commitment and HRQOL domains.
Relationship between religiosity and HRQOL domains
After controlling for social demographic variables, we performed a multiple linear regression model of positive and negative religiosity in HRQOL domains (Table4). The results indicate that positive religiosity is associated with better physical health (ß=0.52, P=0.01) and psychological health (ß=0.63, P=0.02). Negative religiosity was associated with poor HRQOL domains of physical health (ß=-0.43, P=0.02), psychological health (ß=-0.75, P=0.02), social relationship health (ß=-0.53, P=0.04) and environmental health (ß=-0.66, P=<0.01).
Variables | Physical health | Psychological health | Social relationship health | Environmental health | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ß | SE | t | P | ß | SE | T | P | ß | SE | t | P | ß | SE | T | P | |
Religiosity | ||||||||||||||||
Positive | 0.52 | 0.21 | 2.28 | 0.01 | 0.63 | 0.27 | 2.46 | 0.02 | 0.18 | 0.29 | 0.61 | 0.55 | 0.46 | 0.23 | 1.88 | 0.07 |
Negative | -0.43 | 0.19 | -2.24 | 0.02 | -0.75 | 0.22 | -3.29 | 0.02 | -0.53 | 0.23 | -2.2 | 0.04 | -0.66 | 0.2 | -3.12 | <0.01 |
Religion in treatment | ||||||||||||||||
Needed | Ref | Ref | Ref | Ref | ||||||||||||
Not needed | 1.98 | 2.49 | 0.8 | 0.44 | 7.08 | 2.92 | 2.79 | 0.01 | 4.65 | 3.09 | 1.53 | 0.14 | 4.37 | 2.63 | 1.65 | 0.11 |
Religious commitment | ||||||||||||||||
ORA | 1.05 | 0.76 | 1.34 | 0.17 | 2.46 | 0.93 | 2.71 | 0.01 | 2.65 | 0.96 | 2.75 | 0.01 | 2.1 | 0.81 | 2.54 | 0.01 |
NRA | -0.46 | 0.63 | -0.72 | 0.47 | -1.09 | 0.74 | -1.45 | 0.16 | -1.32 | 0.79 | -1.66 | 0.11 | -0.44 | 0.67 | -0.66 | 0.44 |
IR | -43 | 0.38 | -0.06 | 0.26 | -0.41 | 0.46 | -0.91 | 0.35 | 0.84 | 0.48 | 1.74 | 0.07 | 0.12 | 0.41 | 0.33 | 0.65 |
Religious affiliation | ||||||||||||||||
Catholics | Ref | Ref | Ref | Ref | ||||||||||||
Muslims | -2.29 | 2.66 | -0.84 | 0.38 | -2.24 | 3.13 | -0.06 | 0.92 | 5.07 | 3.32 | 1.52 | 0.22 | -3.02 | 2.84 | -1.07 | 0.26 |
Protestants | 3.04 | 2.44 | 1.24 | 0.23 | 2.1 | 2.9 | 1.01 | 1.29 | 5.19 | 3.04 | 1.72 | 0.08 | 3.42 | 2.61 | 1.31 | 0.2 |
Others | -0.97 | 2.69 | -0.25 | 0.79 | 4.13 | 4.31 | 0.94 | 0.34 | 10.3 | 4.6 | 2.27 | 0.03 | 6.88 | 3.1 | 1.75 | 0,07 |
Table 4: Religiosity and HRQOL of HIV positive young adults (18-36 years).
We estimated religiosity and HRQOL in HIV Positive young adults aged 18-36 years seeking care at health facilities in Alebtong District, Northern Uganda. Results of our study indicate that positive religiosity was related to better physical and psychological health. Conversely, negative religiosity was related to poor HRQOL domains of physical health, psychological health, social relationship health and environmental health. The results suggest that religiosity influences the individual’s wellbeing. While 15.1% of HIV positive young adults attending Alebtong health centers reported that religiosity in treatment is not needed, it is evident from this study that the majority of HIV positive patients believed that religiosity should be an integral part of HIV management. Additionally, our results suggest that negative religiosity may explain the poor HRQOL experienced by HIV-positive patients. This finding is important for HIV treatment programs because impaired HRQOL is believed to predict survival [34]. Consistent with this view, Mrus et al. suggested that numerous correlates including religiosity could be potentially fruitful targets for intervention to improve HRQOL [17]. It is therefore important to attend to negative religiosity to increase the odds of improving HRQOL in HIV patients.
A large body of research studies shows that positive religiosity has a positive role in people with HIV including happiness and peace, fostering inner strength, acceptance, finding purpose in life, maintaining hope, and establishing relationships [35,36]. Although the small sample size in a few health centers reduces the generalizability of the results, the finding in our study is comparable to studies [37]. These studies indicate that patients with positive religiosity had higher CD4 cells and lower viral loads compared to patients whose levels of religiosity lessened post diagnosis [37]. Our results mirror prior studies which report a positive relationship between religiosity and HRQOL [38]. Other studies have also found similar results revealing the correlation between religiosity and HRQOL [39,40].
Our findings revealed that higher scores for ORA and IR were reported among the Christian participants. The Muslim participants in the current study reported higher positive and negative religiosity compared to other religious denominations. The findings in this study also indicate that involvement in religious activity was associated with better psychological and environmental domains of HRQOL. Our findings tend to suggest that religious community activities are beneficial to individuals living with HIV/AIDS. Thus, community activities and support from a religious community for persons living with HIV are very important. While some faith based organizations do not promote HIV prevention or transmission activities like condom use, experience in some countries shows that where religious leaders have decided not to openly oppose them, there is a significant reduction in HIV infections and management [41]. Our results are in tandem with other studies assessing religiosity and HRQOL among HIV patients in Iran [42,43].
The findings in this study show that religiosity is significantly associated with HRQOL. This underscores the importance of religiosity in the management of HIV positive patients. Religiosity should be an integral part of the HIV treatment program to the HRQOL of HIV patients. The findings also suggest that HIV positive patients are likely to benefit from support in the community. Thus, there is a need to strengthen the collaboration between religious organizations in the management of HIV to improve the HRQOL.
Our study should be interpreted against the backdrop of some limitations. Being a cross-sectional study design, the study provides correlation and not causation. This study was conducted in health facilities with little chance of including less regular patients in the health centers and may have different features. Additionally, the study is limited geographically because it was conducted in health centers in Alebtong, Northern Uganda.
The authors wish to acknowledge the participants included in this study.