Research Article - (2022) Volume 10, Issue 5

Dietary Diversity and Associated Factors among HIV Positive Adults Attending Antiretroviral Therapy Clinic in Hawassa City Health Institutions, South Ethopia
Frehiwot Atsbeha Woldegiorgis1*, Yabsra Melaku2, Solomon Shitu1 and Kalkidan Hassen Abate3
 
1Department of Public Health, College of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia
2Department of Public Health, Jimma University Institute of Health, Jimma, Ethiopia
3Department of Public Health, Jimma University, Jimma, Ethiopia
 
*Correspondence: Frehiwot Atsbeha Woldegiorgis, Department of Public Health, College of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia, Tel: +251910086087, Email:

Received: 24-Feb-2022, Manuscript No. HCCR-22-15689; Editor assigned: 28-Mar-2022, Pre QC No. HCCR-22-15689(PQ); Reviewed: 14-Mar-2022, QC No. HCCR-22-15689; Revised: 21-Mar-2022, Manuscript No. HCCR-22-15689(R); Published: 28-Mar-2022, DOI: 10.35248/2375-4273.22.10.291

Abstract

Background: Nutritional care is considered a crucial component of comprehensive care for people living with Human Immunodeficiency Virus particularly in resource-limited settings and low quality monotonous diets are the norm. Undiversified diet can have negative consequences on individuals’ health, well-being, and development, mainly by reducing physical, social, cognitive, reproductive, and immunological capacities. Therefore the aim of the study was to assess dietary diversity and associated factors among HIV positive adults attending Anti-Retroviral Therapy (ART) clinic in Hawassa city health institutions.

Methods: An Institution based cross sectional study design was conducted from May to June 2020 among 532 Anti Retro Viral Therapy attendants in Hawassa city. Systematic sampling method was employed to get the study participants. A structured pre-tested questionnaire was used to collect the data. The data was entered into Epi data version 3.1 and then was exported to SPSS version 20 for analysis. Bivariate and multivariable analysis was done by using binary logistic regression. Results was statistically significant at p-value ≤ 0.05 at 95% CI.

Results: A total of 532 respondents (with 97.8% response rate) were included in the study. Individual dietary diversity score of HIV positive adult individuals showed that 46.1%( 95% CI: 41.8%, 50.3%) had sub optimal dietary diversity. Marital status, wealth index, age dependency ratio, duration of antiretroviral treatment and CD4 count were the factors associated with dietary diversity.

Conclusion: Sub optimal dietary diversity was found to be a nutritional problem among HIV positive adults. Therefore, appropriate dietary therapy of healthy eating, immunity booster foods and diet diversification and also strength counseling to appropriate dietary management of common side effects of ART for clients on early period of initiation of ART.

Keywords

Dietary diversity score; People living with HIV; Healthy eating

Introduction

Dietary Diversity (DD) is defined as, the number of different food groups consumed over a given period of time. Diversified diet is recommended in most dietary guidelines. This idea clarified that there is no any single food which contains all the required nutrients for optimal health [1,2]. In people living with Human Immune Deficiency virus (HIV), nutrition supports overall health and helps to maintain the immune system. Good nutrition also helps people with HIV to get healthy weight and absorb HIV medicines [3]. Dietary Diversity Score (DDS) at the individual level is a proxy indicator of nutritional adequacy [4]. Intake of diversified foods is an internationally accepted recommendation for a healthy diet, and it is associated with good health outcomes [5].

Nutrition is a substantial component of comprehensive care for individuals living with HIV/Acquired Immune Deficiency Syndrome (AIDS) particularly in our set up [6,7]. Adequate and diversified nutrition is required to manage opportunistic infections, maintain the immune system, enhance response to medical treatment, and support optimal quality of life in People Living with HIV/AIDS (PLWHA) [8].

The World Health Organization (WHO) recommends that HIV positive patients should consume diversified foods [9]. Malnutrition and HIV/AIDS are both highly prevalent in many parts of the world and undiversified food and malnutrition are public health concerns worldwide, especially in developing countries [10]. In developing countries with high nutrient demands, chronic patients like HIV/AIDS are at high risk due to consumption of low-quality, monotonous food which leads to nutrient deficits [11].

The relationship between HIV infection and nutrition and impact of HIV on nutrition is very complex and related to each other. The effects are interconnected and exacerbate one another in a vicious cycle [12]. Both HIV and inadequate intake can independently cause progressive damage to the immune system and increased susceptibility to infection, morbidity, and mortality through opportunistic infections, fever, diarrhea, loss of appetite, nutrient mal absorption, and weight loss, increasing energy [9], reducing food intake, and adversely affecting nutrient absorption and metabolism [13].

Inadequate dietary intake leads to malnutrition [14], and malnutrition adds fuel to the fire by accelerating the progress of HIV infection to AIDS. HIV/AIDS is associated with biological and social factors that affect the individual’s ability to consume, utilize, and acquire food [15].

Inadequate dietary intake could contribute to micronutrient deficiencies that further leads to HIV/AIDS disease progression and to the reduction of CD4 count which increases risk of opportunistic infections [16].

Depressive disorders are common among 20% to 32% of people with HIV disease but are frequently unrecognized. Major depression is a recurring and disabling illness that typically responds to medications, cognitive psychotherapy, education, and social support. A large percentage of the emotional distress and major depression associated with HIV disease results from immunosuppression, treatment, and neuropsychiatric aspects of the disease [17].

The level of dietary diversity and its associated factors on HIV positive individuals will play a vital role in improving quality of nutritional care and counseling provided by healthcare providers which in turn improves client’s quality of life and physical and social capacity [18]. This study was try to assess variables such as anxiety and depression, and age dependency ratio that were not addressed in previous studies done in Ethiopia, in relation to dietary diversity among HIV positive adults attending ART clinics. Therefore the aim of the study was to assess dietary diversity and associated factors among HIV positive adults attending ART clinic in Hawassa city health institutions.

Methodology

Study design and setting

Institution based cross-sectional study was conducted in in Hawassa city health institutions on those receiving ART services from May to Jun 2020. Hawassa is the administrative city for both South Region Nation Nationality and People Representatives (SNNPR) and Sidama reginal state. It is located 275 Km southern of the capital city, Addis Ababa. The city is divided into 8 sub city and 32 kebeles. Currently in Hawassa city 7 ART health institutions which were included in the study, which were providing ART service for a total of 6194 clients living with HIV/AIDS, from those 5,812 were adults [19].

Participants

The Source Populations were all adult people living with HIV/ AIDS who were enrolled to ART care in Health institutions of Hawassa city. Systematically selected adult people living with HIV/ AIDS enrolled to ART care in health institutions of Hawassa city during data collection period were the study population. Those who were following ART care in Hawassa city health institutions 18- 64 years and lived equal to or greater than 6 month were included in the study. However, HIV positive adults receiving ART care and previously diagnosed pregnancy, and those who were admitted for inpatient management were excluded from the study.

Sample size and sampling technique

Separate sample size was calculated for each specific objective. For the first specific objective single population proportion formula by taking Proportion (P) of low dietary diversity score among adult ART users 71% which was obtained from study conducted in Ambo West Shoa Zone [20], at 95% of confidence level and a marginal error (d)=4%. To determine sample size for the second objective Computer based Epi info7 software Statcalc was used. Finally, the sample size of first objective was greater than that of the second objective. The final sample size including 10% non- response rate was 544.

The sampling procedure in general: first of all the last 4 weeks data of HIV positive adult in all health institutions was taken for the purpose of sample allocation and to determine their sharing’s. The sample was proportionally allocated for each health facilities based on clients flow and then systematic random sampling technique was used. The sampling interval was calculated for each health facility by dividing the expected number of ART clients per month. Then at every 4th intervals (4 was sampling fraction, which was calculated as N/n for each health institutions). The starting sample was selected by lottery method. The procedure was continued until the required sample size was obtained.

Data collection tools and procedure

Interviewer-administered questionnaire was developed by reviewing different literatures and designed to capture socio-demographic and economic, health and behavioral related and nutrition related characteristics of study participants. Individual dietary diversity score [4] was used to assess dietary diversity of adult PLHIV. The dietary diversity scores consist of a simple count of food groups that an individual has consumed during the preceding 24 hours [4]. Based on the Food and Agriculture Organization (FAO)/ Food and Nutrition Technical Assistance Project (FANTA) 2010 recommendation, foods eaten by the respondents was classified into 9 food groups, i.e. starch staples, legumes, nuts and seeds, dark green leafy vegetables, vitamin-A rich fruits and vegetables, other fruits and vegetables, meat and fish, organ meat, egg, and milk and milk products. Oils and fats do not contribute much to micronutrient density of the diet [21], this food groups are not used in estimating individual dietary diversity score. But oils and fats food groups are energy dens and important for the absorption of fat soluble vitamins as a result proportion of study participants consuming this food group was also estimated alone. Participants were received 1 point if they consumed food at least once during the last 24 hours within each subgroup and 0 point if they never consumed the food. Data on health related characteristics such as duration of ART, Cotrimoxazole prophylaxis, current CD4 count, World Health Organization (WHO) clinical stage and opportunistic infections was collected by reviewing patient clinical records.

Data quality control

The questionnaire was first prepared in English by reviewing literatures and translated into Amharic version, which later back translated to the English version to check its consistency and comparability of the finding. Training was given for 7 BSc nurse data collectors and 1 health officer supervisor for one day. Pre-test was performed on 5% of clients in Leku primary hospital one of Woreda of Sidama Region. Possible clarifications and corrections was done on the questionnaires after the pretest. A supervisor and principal investigator were closely following the day to day data collection process and ensure completeness and consistency of the collected questionnaires on a daily basis. Proper coding and categorization of data was maintained for the quality of the data to be analyzed.

Dependent variables

Dietary diversity.

Independent variables

Socio-demographic and Socioeconomic factors, nutritional factors, Psychosocial and Behavioral factors, Clinical and health related characteristics.

Operational definitions

Dietary diversity score: In the study was created by summing up the number of food groups consumed over a 24 hours period by an individual. Then classified as

Optimal dietary diversity: HIV positive adult who received foods > or equal to five food groups out of the nine food group [20].

Sub optimal dietary diversity: HIV positive adult who received foods < five food groups out of the nine food groups [20].

Age dependency ratio: Age dependency ratio was calculated at household level using the standard formula of age dependency ratio.

Wealth index: Wealth index was developed based on ownership of fixed asset using PCA then it was ranked by tertertial and recorded as low, middle and high [22].

Anxiety: Those patients with HADs score for anxiety 8 and above were considered having the problem [23].

Depression: Those patients with HADs score for depression 8 and above were considered having the problem [23].

Nutritional knowledge: Around 18 nutritional knowledge assessment questions were employed and patients who answered below mean value labeled as poor and those scored above mean value were labeled as good knowledge [24].

Data processing and analysis

The data were coded, and entered into Epi data version 3.1, then exported to SPSS window version 20 for analysis. Then, cleaned, recoded and stored to facilitate its analysis. The analysis was done by computing proportions and summary statistics. Then the information was presented by using frequency table, chart, graphs and cross-tabulation. Principal Component Analysis (PCA) was used for wealth index from EDHS. Bivariate Logistic Regression analysis was used to check association between dependent and independent variables. Variables with p-value <0.25 on bivariate analysis were entered to multivariable logistic regression model to identify the factors that affect dietary diversity of adult PLWHIV. Multi-collinearity was checked by Variance Inflation Factors (VIF) and model fitness checked by Hosmer-Lemeshow p-value, which was >0.05. Results were claimed statistically significant when p-value was ≤ 0.05 at 95% CI.

Results

Socio demographic characteristics

In this study, a total of 532 participants were involved making response rate of 97.8%. Out of the total respondents 324 (60.9%) were females and the mean (±SD) age of respondents was 40.42 (10.4). Three hundred fifty thee (47.6%) respondents were protestant and 241(45.3%) were Orthodox Christian. Out of the total 202(38%) were married and 334(62.8%) had taken secondary school and above. The mean family size of respondents was 3.4 with standard deviation of 1.63 and 43.6% were living in the household size of four and above. The mean age dependency ratio of respondents was 0.368 with standard deviation of 0.52 and 41% of respondents were above the mean (Table 1).

Variables Categories Frequency (n=532) Percent (%)
fSex Female 324 60.9
Male 208 39.1
Age 18-29 73 13.7
30-40 226 42.5
>40 233 43.8
Educational status Secondary education & above 334 62.8
Primary education 160 30.1
No formal education 38 7.1
Marital status Married 202 21.1
Single 112 38
Divorced 87 16.4
Widowed 131 24.6
Family size <=3 300 56.4
>4 232 43.6
Age dependency ratio Below mean 314 59
Above mean 218 41
Household wealth High 159 29.9
Middle 185 34.8
Low 188 35.3

Table 1: Socio-demographic characteristics of HIV positive adult patients in Hawassa city health institutions South Ethiopia, 2020 (n=532).

Health related and nutritional Characteristics

From the total, 9.8% respondents had comorbidities. Larger proportions of HIV positive adults, 449(84.4%) were taking ART for greater than two years. More than half of respondents 319(60%) were taking Cotrimoxazole prophylaxis. Four hundred twenty seven (80.3%) had CD4 count greater than 350 cells/mm3 and 442(83.1%) respondents were fall under WHO clinical stage I. Eighty one(15.2%) respondents had opportunistic infection. Around one third (34.8%) respondents had received nutritional counseling on general feeding (Table 2). Regarding nutritional knowledge, 257(48.3%) respondents had poor nutritional knowledge.

Variables Classification Dietary diversity
Frequency
Sub optimal DD Optimal DD
Comorbidity No 223(91.0%) 259(90.2)
Yes 22(9.0%) 28(9.8%)
Type of Comorbidity HTN 12(42.9%) 10(45.5%)
DM 9(32.1%) 10(45.5%)
Other 7(25.0%) 2(9.1%)
Duration of ART >2 year 192(78.4%) 257(89.5%)
1-2 year 29(11.8%) 18(6.3%)
<1 year 24(9.8%) 12(4.2%)
Cotrimoxazole prophylaxis Yes 145(59.2%) 174(60.6%)
No 100(40.8%) 113(39.4%)
CD4 count >350 cells/mm3 174(71.0%) 253(88.2%)
200-350 cells/mm3 46(18.8%) 28(9.8%)
<200 cells/mm3 25(10.2%) 6(2.1%)
WHO clinical stage I

 

182(74.3%) 260(90.6%)
II 47(19.2%) 20(7.0%)
III 16(6.5%) 7(2.4%)
OI No 193(78.8) 258(89.9)
Yes 52(21.2) 29(10.1)
Type of OI Bacterial 25(86.2%) 44(78.8%)
pneumonia
PTB 4(13.8%) 11(21.2%)
Nutritional counseling Yes 80(32.7) 105(36.6)
No 165(67.3%) 182(63.4)
Notional knowledge Good knowledge 83(33.9%) 192(66.9%)
Poor knowledge 162(66.1%) 95(33.1%)

Table 2: Health related and nutritional characteristics of HIV positive adult patients Hawassa city health institutions South Ethiopia, 2020 (n=532).

Psychological and behavioral characteristics

From total respondents, 85(34.7%) among sub optimal and 75(26.1%) among optimal dietary diversity of respondents had experienced depression (Figure 1). Regarding smoking status, 11 (2.1%) participants were ever smoked cigarette, from those 9(81.8%) respondents were currently smoke cigarette. Seventy nine (32.8%) of respondents had consumed alcohol drink in the past one year and more than half (57%) of respondents had consumed alcohol drink currently. About half 23(52.2%) respondents were chewed khat currently (Table 3).

Variables Classification Dietary diversity
Frequency
Sub optimal DD Optimal DD
Ever smoked cigarette No 237(96.7%) 284(99.0%)
Yes 8(3.3%) 3(1.0% )
Currently smoke cigarette No 2(25.5%) 0
Yes 6(75.0%) 3
Ever consumed alcohol No 128(52.2%) 163(56.8%)
Yes 117(47.8%) 124(43.2%)
Consumed alcohol within the past one year No 74(63.2%) 88(71.0%)
Yes 43(36.8%) 36(29.0%)
Frequency of alcoholic drink 5-6 days/ week 4(9.3%) 3(8.3%)
1-4 days / week 9(20.9%) 3(8.3%)
1-3 days/ month 27(62.8%) 16(44.4%)
<1/month 3(7.0%) 14(38.9%)
Consumed alcohol within the past 30 days No 16(37.2%) 18(50.0%)
Yes 27(62.8%) 18(50.0%)
Ever chewed khat No 227(92.7%) 261(90.9%)
Yes 18(7.3%) 26(9.1%)
Currently chewed khat No 7(38.9%) 14(53.8%)
Yes 11(61.1) 12(46.2%)

Table 3: Psychological and Behavioral characteristics of HIV positive adult patients in Hawassa city health institutions, South Ethiopia, 2020 (n=532).

health-care-reviews-anxiety

Figure 1: Depression and anxiety status of HIV positive adult patients in Hawassa city, South Ethiopia, 2020 (n=532). Note:Image Sub optimal, ImageOptimal

Level of dietary diversity

The mean (+SD) individual dietary diversity score of HIV positive adult was 4.34 (+1.415). Two hundred fort five (46.1%) HIV positive adults got sub optimal dietary diversity. Starch staples and other fruits and vegetable were food groups predominantly consumed by the clients with 100% and 94.5% respectively, whereas the least consumed food groups by the clients were fish and sea foods (2.4%) and vitamin A rich fruits and vegetables (25.0%) (Figure 2).

health-care-reviews-positive

Figure 2: Variety of food eaten within 24 hours of HIV positive adult patients in Hawassa city health institutions South Ethiopia, 2020 (n=532).

Bi-variable and multi variable analysis

Variables that fulfill the criteria in bivariate analysis were entered in to multivariable analysis model. After conducting Multivariable logistic regression analysis marital status, age dependency ratio above mean score, low and middle wealth index, <1 year duration and 1-2 years of ART duration and <200 cells/mm3 CD4 count were significantly associated with dietary diversity (Table 4).

Variables Dietary diversity (95% CI)
Sub optimal Optimal Crude OR Adjusted OR
Sex
Female 157(64.1) 167(58.2) 1 1
Male 88(35.9) 120(41.8) 0.78(0.55,1.11) 1.16(0.75,1.82)
Educational status
Secondary education& above 138(56.3) 196(68.3) 1 1
Primary education 82(33.5) 78(27.2) 1.49(1.02,2.18) 1.01(0.62,1.65)
No formal education 25(10.2) 13(4.5) 2.73(1.35,5.53) 1.32(0.54,3.24)
Marital Status
Married 80(32.7) 122(42.5) 1 1
Single 44(18.0) 68(23.7) 0.99(0.62,1.58) 1.14(0.629,2.062)
Divorced 37(15.1) 50(17.4) 1.13(0.68,1.88) 0.72(0.38,1.37)
Widowed 84(34.3) 47(16.4) 2.73(1.73,4.30) 3.28(1.85,5.80)**
Family size
≤3 145(59.2) 155(54.0) 1 1
≥4 100(40.8) 132(46.0) 0.81(0.57,1.14) 0.91(0.58,1.43)
Age dependency ratio
Below mean 121(38.5) 193(67.2) 1 1
Above mean 124(56.9) 94(32.8) 2.10 (1.48,2.99) 3.38(2.12,5.39)**
Wealth index
Middle 98(40.0) 87(30.3) 0.53(0.34, 0.83) 0.48(0.28,0.80)*
Low 39(15.9) 149(51.9) 0.12(0.08, 0.20) 0.14(0.08, 0.26)**
Duration of ART
>2 year 192(78.4%) 257(89.5%) 1 1
1-2 year 29(11.8%) 18(6.3%) 2.16(1.16, 3.99) 2.38(1.14,4.98)*
<1 year 24(9.8%) 12(4.2%) 2.68(1.31,5.49) 2.76(1.14,6.64)*
CD4 count
>350 cells/mm3 174(71.0%) 253(88.2%) 1 1
200-350 cells/mm3 46(18.8%) 28(9.8%) 2.39(1.44,3.94) 1.49(0.696-3.20)
<200 cells/mm3 25(10.2%) 6(2.1%) 6.06(2.44,15.06) 4.34(1.19,15.84)*
WHO clinical stage
I 182(74.3%) 260(90.6%) 1 1
II 47(19.2%) 20(7.0%) 3.36(1.92,5.86) 1.62(0.71,3.73)
III 16(6.5%) 7(2.4%) 3.27(1.32,8.097) 0.70(0.17,2.85)
Illness in past one week
No 206(84.1%) 262(91.3%) 1 1
Yes 39(15.9%) 25(8.7%) 1.98(1.16,3.339) 0.82(0.40,1.50)
OI
No 193(78.8) 258(89.9) 1 1
Yes 52(21.2) 29(10.1) 2.40(1.47,3.97) 1.04(0.50,2.17)
Depression
No depression 160(65.3) 212(73.9) 1 1
Depression 85(34.7) 75(26.1) 1.50(1.04,2.18) 0.90(0.55,1.47)

Table 4: Bivariate and multivariable logistic regression output showing factors associated with dietary diversity of HIV positive adult patients in Hawassa city health institutions South Ethiopia, 2020 (n=532).

Discussion

The finding of this study revealed that 46.1% (95% CI: 41.8%, 50.3%). of HIV positive adults had sub optimal dietary diversity, which is lower than the reports from a study done in Ambo, west shoa zone (71%) [20], Motta East Gojjam Zone (70.7%) [25], Metema Hospital (58.8%) [26], Jimma University specialized hospital (55.8%) [21], Nigeria (62.3%) [27], Algeria(68%) [28] and Uganda(59.0%) [29].This difference may be due to variations of study periods, geographical location, seasonal variability, and other socio-demographic factors.

Among socio demographic factors marital status widowed were 3.28 times more likely to have sub optimal dietary diversity as compared to those who were married. This might be due to without wife/husband may experience sub optimal dietary diversity at higher rates due to a lack of social supports [30]. Other possible explanation could be independents in the household may decrease and therefore when the number of independents (working age) in the households decreases there may not be access to sufficient diversified diet [31].

Age dependency ratio was also other associated factor of dietary diversity among the study participants. Adults those who were above mean value 3.38 times more likely to have sub optimal dietary diversity as compared to below mean value. This could be explained by the fact that the dependency ratio is an age-population ratio of those typically not in the labor force and as the ratio increases there may be an increased burden on the productive part of the population [32]. As a result dietary habit or food consumption pattern of HIV positive individuals with high age dependency ratio may largely base on least nutritious and monotonous food groups.

Household wealth index of low and middle 86.0% and 52.0% less likely to have sub optimal dietary diversity than those HIV positive adults at highest wealth index respectively, But a studies done in Mettema [26] and Rwanda [33] contradict with the above finding. This difference might be due to diets having changed across the low- and medium-income countries to converge on what we often term the “Western diet”. This is broadly defined by high intake of refined carbohydrates, added sugars, fats, and animal-source foods [34]. In other words people in high wealth might be depending on fat and high animal source foods which have high price and they can afford it. As a result dietary habit or food consumption pattern of HIV positive individuals with high wealth may largely base on sub optimal dietary diversity.

Respondents who were ART use for less than 1 year and 1-2 years were 2.76 and 2.38 times more likely to have sub optimal dietary diversity than those on ART for more than 2 years respectively. This finding was consistent with the studies finding in Metema Hospital and Eastern Ethiopia [26,35]. This might be due to most ART drugs were found with gastro-intestinal tract related side effects like nausea, change in food test, anorexia, diarrhea, stomatitis and dyspepsia [36]. In the early periods of initiation of ART, Clients may face challenges in adapting the above side-effects and might increase the likelihood of having reduced food consumption as compared to taking ART for longer duration [37]. This condition might increase the likelihood of having reduced food consumption and sub optimal dietary diversity.

Those participants with CD4 count <200 cells/mm3 were 4.34 times more likely to have sub optimal dietary diversity than those who were CD4 count >350 cells/mm3. This is due to the fact that HIV infection gradually destroys the body's immune system, which makes it harder for the body to fight infections. HIV infection causes a quantitative depletion of CD4 lymphocyte count, which increases the risk of opportunistic infections [16]. This may leads to other infections and lower food intake because of reduced appetite and/or impaired nutrient absorption and sub optimal dietary diversity.

From health related factors, Cotrimoxazole prophylaxis had not significant association with dietary diversity which is consistent with studies conducted in Eastern Ethiopia [35], Ambo [20] and Motta town, East Gojjam [25]. But a study finding in Metema Hospital revealed that Cotrimoxazole prophylaxis had strong association with level of dietary diversity which is in contrast with this study [26]. This may be attributed to factors such as differences in the study area and study period. Even though this study addressed very important variables related to dietary diversity, it is independent of the limitation of cross sectional study design. Even if using 24 hour food recall method minimizes recall bias, it only provides a snap shoot of information rather than trend of dietary habit and also participants might be susceptible for social desirability bias.

Conclusion

This study revealed that nearly half of participants had suffered from sub optimal dietary diversity. The factors that significantly affect dietary diversity were: marital status, age dependency ratio, wealth index: duration of ART and CD4 count. The government and other stake holders should focus on promoting and well integrating on nutrition programs for HIV positive individuals to improve their dietary quality based on local context; to reduce burden of sub optimal dietary diversity. The health professionals should strengthen awareness session on dietary therapy of healthy eating, immunity booster foods and diet diversification and also strength counseling to appropriate dietary management of common side effects of ART for clients on early period of initiation of ART.

Limitations of the Study

• Due to study design (cross sectional) it doesn’t indicate temporal relationship.

• Even though using 24 hour food recall method minimizes recall bias, it only provides a snap shoot of information rather than trend of dietary habit.

• Also participants might be susceptible for social desirability bias.

Declarations

Ethics approval and consent to participate

Prior to data collection, ethical clearance was obtained from Institutional Review Board of Hawassa University. Permission was obtained from Hawassa health department, Medical Directors and head units a of the health institutions. All study participants was briefed about the purpose of the study including how the study was beneficial to them. In addition, confidentiality of information was assured and privacy of the study population was respected and kept as well. Verbal consent was obtained from the participants. Moreover, to ensure confidentiality the name of respondents was not written in the consent form. The collected data was kept in the form of file in secure place where no one can access it except the investigator.

Authors’ contribution

FA: Conceptualized the paper, searched literature, trained field researchers for data collection and wrote the results and discussion sections; KH, YM and SS: Contributed to the design of the study, edition and provided advice regarding methods, data interpretation and analysis and also they have critically reviewed the result and prepared the manuscript for publication; Finally all authors have proofread the final manuscript.

Acknowledgements

We thank Hawassa University, ColSlege of Medicine and Health Science, for providing ethical clearance, Hawassa city health department and our gratitude is great to data collators for their devotion and patience during the data collection period.

REFERENCES

Citation: Woldegiorgi FA, Melaku Y, Shitu S, Abate KH (2022) Dietary Diversity and Associated Factors among HIV Positive Adults Attending Antiretroviral Therapy Clinic in Hawassa City Health Institutions, South Ethopia. Health Care Curr Rev. 10:291.

Copyright: © 2022 Woldegiorgi FA 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.