Prevalence and Factors Associated with Stunting and Wasting among HIV-Infected Children Aged 6 Months to 14 Years Attending Care and Treatment Clinics in Moshi Municipality, Northern Tanzania ()
1. Introduction
Childhood growth is a sensitive indicator of overall health and well-being, reflecting the complex interplay of nutrition, care, illness, and environment. For children living with Human Immunodeficiency Virus (HIV), this trajectory is frequently disrupted by the bidirectional relationship between the virus and malnutrition [1]. HIV infection significantly increases resting energy expenditure and daily caloric requirements, often by 10% to 100% in complicated cases, with some situations necessitating up to 150% of normal intake for recovery. Additionally, HIV induces chronic inflammation, impairs nutrient absorption due to gastrointestinal damage, suppresses appetite, and predisposes children to recurrent opportunistic infections, such as diarrhoea, pneumonia, and oral thrush [1] [2]. In turn, undernutrition weakens immune function, accelerates HIV disease progression, increases susceptibility to infections, and reduces the effectiveness of antiretroviral therapy (ART) [1] [2]. This vicious cycle contributes to higher morbidity and mortality, delayed neurodevelopment, and poor long-term health outcomes.
In sub-Saharan Africa, where over 85% of the world’s children live with HIV reside, malnutrition remains highly prevalent despite expanded access to ART. A systematic review and meta-analysis of East African studies reported pooled prevalence of stunting at 49.7%, underweight at 41.6%, and wasting at 24.7% among HIV-positive children [3]. In Tanzania, analysis of routine national data from 70,102 children and adolescents on ART (aged 5 - 19 years) between January and December 2021 revealed stunting in 36.0%, underweight in 28.9%, and wasting in 13.0%, with significant regional variations [4]. These figures highlight that even with improved viral suppression, nutritional vulnerability persists, particularly among children who present late or have incomplete immune recovery.
Feeding practices are pivotal in breaking this cycle. The World Health Organization (WHO) and The United Nations International Children’s Emergency Fund (UNICEF) recommend exclusive breastfeeding (EBF) for the first six months, the timely introduction of safe complementary foods at six months, and continued breastfeeding up to two years or beyond, alongside adequate minimum meal frequency (MMF) and minimum dietary diversity (MDD) [5] [6]. Despite these recommendations, many caregivers of HIV infected children find it difficult to consistently follow these guidelines. Some of factors contributing to failure to adhere to the guidelines include HIV disclosure and transmission, caregiver workload, food insecurity, cultural beliefs, and inadequate nutrition counselling. Suboptimal complementary feeding practices have been associated with increased risk of diarrhoea among HIV exposed infants in Tanzania [7], and similar feeding challenges are relevant to HIV infected children. In addition, studies incomparable settings indicate poor dietary intake is also often linked to opportunistic infections [8]. While most research has focused on infants and children under five years, older children (up to 14 years) face distinct challenges, such as reduced caregiver supervision, inconsistent school feeding, and the psychosocial impact of stigma, all of which can further compromise nutritional intake [9].
Moshi Municipality, in Tanzania’s Kilimanjaro region, is a semi-urban area with a notable HIV burden and relatively better healthcare infrastructure than in rural areas. Despite this, comprehensive local data on the nutritional status and feeding practices of HIV-infected children across the full age range of 6 months to 14 years remain scarce. This gap limits the development of age-appropriate and context-specific interventions. The current study therefore aimed to determine the prevalence of stunting and wasting and to identify associated socio-demographic, clinical, and feeding-related factors among HIV-infected children attending CTCs in Moshi Municipality. By generating localised evidence, the study seeks to inform targeted nutritional support strategies within paediatric HIV care programmes in Tanzania and similar high-burden settings.
2. Methodology
2.1. Study Design and Population
This study was hospital based cross sectional study conducted from October 2024 to May 2025 in all 10 CTCs providing paediatric HIV services in Moshi Municipality, Kilimanjaro region, northern Tanzania. These clinics are government and faith based serving both urban and peri-urban populations and operate Monday to Friday from 7.30 a.m. to 3.30 pm. The study population comprised all HIV-infected children aged 6 months to 14 years attending routine CTCs visits during the study period.
2.2. Recruitment and Consenting Procedures
Following ethical approval, the research team worked in close collaboration with clinic staff, who facilitated the identification of eligible HIV-infected children aged 6 months to 14 years during routine clinic visits for recruitment. Trained research assistants approached parents or legal guardians immediately after the child’s consultation.
Both verbal and written explanations of the study objectives, procedures, potential risks, and benefits were provided. Participation was clearly stated as voluntary and independent of routine care. Participant recruitment was conducted from October 2024 to May 2025 at all 10 Care and CTCs in Moshi Municipality. Written informed consent was obtained from parents or legal guardians at the CTCs during routine clinic visits prior to enrolment. For children aged 7 years and older, age-appropriate assent was also obtained. Recruitment and consent procedures were conducted in private areas within the clinics to ensure confidentiality and minimize external influence. During the study period, 274 HIV-infected children aged 6 months to 14 years attending the 10 CTCs were assessed for eligibility and approached for participation. Of these, 19 were not enrolled: 4 were excluded due to recent hospitalisation within the two weeks prior to data collection, 7 caregivers declined participation, and 8 attended solely for a drug refill without a full clinic consultation on the day of data collection. The remaining 255 children were enrolled consecutively across all clinic operating days until the target sample size was reached.
2.3. Inclusion and Exclusion Criteria
Children were enrolled if they met all the inclusion criteria: Confirmed HIV infection, age 6 months to 14 years, on ART for at least three months and a caregiver willing to provide informed consent. Participants were excluded from enrolment if they fulfilled any of these criteria: Children admitted to the hospital within the two weeks prior to data collection or caregivers who declined participation.
2.4. Sample Size and Sampling Technique
This was a descriptive study without hypothesis testing, and hence, the sample size was determined by estimation rather than power calculations. The sample size was determined using the single population proportion formula with finite population correction. A total of 255 participants was considered sufficient to estimate the prevalence of malnutrition, assuming a 50% prevalence at the 95% confidence level with a 5% margin of error. Consecutive sampling of eligible children was employed until the required sample size was achieved.
2.5. Outcome Definitions (Stunting and Wasting)
Stunting was defined as length/height-for-age Z-score (HAZ) less than −2 SD, and wasting as weight-for-height Z-score (WHZ) less than −2 SD, based on the WHO Child Growth Standards, for children aged 6 - 59 months. For children aged 5 - 14 years, stunting was defined as HAZ less than −2 SD and wasting as body mass index-for-age Z-score (BAZ) less then −2 SD, based on the WHO Growth Reference (WHO Anthro Plus), since WHZ is not validated beyond 5 years of age.
2.6. Data Collection Tools and Procedures
All eligible participants present at the clinics during data collection days were approached by the principal investigation (PI) assisted by trained research assistants’ introduction of the study was done in a private designated room at each clinic after routine clinic services to ensure confidentiality and a comfortable environment. Written informed consent was obtained from caregivers prior to participation and children’s assent was sought where appropriate according to age. A pre-tested structured questionnaire adapted from WHO and IYCF indicators was used to collect socio-demographic information, feeding practices (breastfeeding history, age at introduction of complementary foods), and household food security. MMF and MDD were assessed using 24-hour dietary recall per WHO/UNICEF guidelines. Clinical data including WHO HIV clinical stage, ART regimen, viral load, CD4 count, co-trimoxazole prophylaxis, and history of hospitalization were extracted from CTC registers and patient files using a standardised checklist. Anthropometric measurements were performed in a designated quiet room. Weight was measured using a calibrated SECA 384 digital scale (accuracy 0.1 kg) and length/height using a UNICEF infant/child length board. Measurements were taken in duplicate (or triplicate if difference exceeded 100 g for weight or 0.5 cm for height), and the mean was recorded.
Data were collected electronically using Kobo Toolbox (Enketo version 7.5). The application was installed on a password-protected computer dedicated to the study, with access restricted to the principal investigator. Trained research assistants initially collected data using a structured questionnaire, the PI then transferred the data to Kobo Toolbox using login credentials to access the database.
2.7. Feeding Indicator Definitions and Age Applicability (MDD/MMF)
Minimum Dietary Diversity (MDD) and Minimum Meal Frequency (MMF) were assessed according to WHO/UNICEF IYCF indicator definitions, which are formally validated for children aged 6 - 23 months. MDD was defined as consumption of foods from at least 5 of 8 defined food groups in the previous 24 hours. MMF was defined as receiving the age- and breastfeeding-status-specific minimum number of meals and/or milk feeds in the previous 24 hours. As only 9 children in this cohort fell within the WHO-validated 6 - 23-month age range, MDD and MMF were additionally applied descriptively to children aged 2 years and older, using the same food-group and meal-frequency framework, to provide a comparable measure of dietary quality and feeding regularity across the full study population. Findings for children aged 2 years and older should be interpreted as an extension of the IYCF framework beyond its formally validated age range, rather than as standard indicator estimates.
2.8. Data Management and Statistical Analysis
The PI rotated across all study sites with support from research assistants, the PI had exclusive access to the study database and was responsible for data entry, management and all data were reviewed for completeness and consistency. Data cleaning and preparation was done in STATA version 18. Z-scores were calculated according to the World Health Organization (WHO) Child Growth Standards. The STATA WHO Anthro and Anthro Plus macros were used for children under 5 years and those aged 5 years and above, respectively. Continuous variables were described using medians and interquartile ranges. Categorical variables were summarised as frequencies and percentages. Associations between categorical variables and malnutrition outcomes were assessed using the Chi-square test or Fisher’s exact test, as appropriate. A variable associated with the outcome was then considered for logistic regression. Univariate and multivariate logistic regression analyses were conducted to quantify the association between potential risk factors and the prevalence of each form of malnutrition. Variables with a p-value < 0.05 in the univariate analysis were included in the multivariate model. Adjusted odds ratios (AOR) with 95% confidence intervals were reported. Statistical significance was set at p < 0.05. All statistical analyses were performed using STATA version 18 (StataCorp, College Station, TX, USA). R Statistical Software version 3.4.3 (https://www.r-project.org/) was used for graphical visualizations. Age and sex were retained a priori in the multivariable models as biologically plausible confounders regardless of their univariate significance, while other candidate variables were entered based on the p<0.05 univariate threshold to reduce the risk of overfitting given the sample size.
2.9. Ethical Considerations
The study was conducted after obtaining ethical approval from KCMC University Research and Ethical Review Committee (KURERC) no PG.21/2024. Permission to conduct the study was also obtained from regional and facility authorities at each clinic. To ensure confidentiality, all participants were assigned unique study identification numbers that replaced names and personal identifiers at the point of entry. The anonymised data were stored securely on a passwordprotected computer and maintained throughout the study period.
3. Results
3.1. Socio-Demographic and Clinical Characteristics of Participants
A total of 255 HIV-infected children were enrolled. The majority (53.3%) were aged 10 - 14 years, female (52.5%), and resided in urban areas (73.7%). Most children (88.6%) had at least one biological parent alive. Over half (63.1%) had a history of hospitalisation, and 51.4% were in advanced WHO HIV clinical stages (III/IV). Recent viral load was suppressed (<50 copies/mL) in 79.2%, and CD4 count was >500 cells/µL in 94.1%. The most common ART regimen was Abacavir (ABC) + Lamivudine (3TC) + Dolutegravir (DTG) (60.4%). Only 5 children (2.0%) had been diagnosed with tuberculosis (TB). Co-trimoxazole prophylaxis was used by 49.8% of the children (Table 1 and Table 2). About 37% of children had severe immunosuppression (CD4 < 200 cells/µL) before starting ART.
Table 1. Socio-demographic characteristics of study participants (N = 255).
Parameter |
Value |
N |
255 |
Residence |
|
Urban |
188 (73.7) |
Rural |
67 (26.3) |
Sex |
|
Male |
121 (47.5) |
Female |
134 (52.5) |
Age, median (IQR), years |
10.3 (6.7 - 12.5) |
<2 |
9 (3.5) |
2 - 5 |
31 (12.2) |
5 - 10 |
79 (31.0) |
>10 |
136 (53.3) |
Number of the children in household |
|
<2 |
44 (17.3) |
2 - 5 |
163 (63.9) |
>5 |
48 (18.8) |
Child-birth order |
|
First |
106 (41.6) |
Second |
84 (32.9) |
Third |
42 (16.5) |
Fourth and above |
23 (9.0) |
Are the biological parents of the child alive |
|
Yes |
226 (88.6) |
No |
29 (11.4) |
Birth weight (grams) |
|
≤2500 |
28 (11.0) |
>2500 |
227 (89.0) |
What is the source of hospital payment to the child |
|
Cash |
133 (52.2) |
Health insurance |
26 (10.2) |
Social welfare |
96 (37.6) |
Note: Values are presented as n (%).
Table 2. Clinical characteristics of study participants (N = 255).
Parameter |
Value |
Is the child up to date on the vaccination schedule? |
|
Yes |
254 (99.6) |
No |
1 (0.4) |
Age of the child at diagnosis (in years) |
|
<2 |
152 (59.6) |
2 - 5 |
80 (31.4) |
>5 |
23 (9.0) |
Has the child ever been hospitalized |
|
Yes |
161 (63.1) |
No |
94 (36.9) |
If Yes How many times (n = 161) |
|
≤3 times |
78 (48.4) |
>3 times |
83 (51.6) |
Is the child on Co-trimoxazole |
|
Yes |
127 (49.8) |
No |
128 (50.2) |
If yes on Co-trimoxazole (n = 127) |
|
≤5 years |
35 (27.6) |
>5 years |
92 (72.4) |
Has the child ever had Tuberculosis |
|
Yes |
5 (2.0) |
No |
250 (98.0) |
HIV clinical stage of the child |
|
Stage I |
39 (15.3) |
Stage II |
85 (33.3) |
Stage III |
127 (49.8) |
Stage IV |
4 (1.6) |
The recent CD4 Counts |
|
≤500 |
15 (5.9) |
>500 |
240 (94.1) |
The recent viral load (copies) |
|
≤50 |
202 (79.2) |
>50 |
53 (20.8) |
ART regimen child in |
|
ABC/3TC/DTG |
154 (60.4) |
TLD |
101 (39.6) |
Note: Values are presented as n (%), Abacavir (ABC), Lamivudine (3TC), Dolutegravir (DTG), Tenofovir, Lamivudine Dolutegravir (TLD).
3.2. Socio-Demographic Characteristics of Caregivers
The median age of caregivers was 38 years (IQR 34.7 - 42.8). Most were married/Cohabiting (61.6%), had a primary education (57.7%), and were farmers (66.3%). Over half (58.8%) had disclosed their HIV status to their partner (Table 3).
Table 3. Socio-demographic characteristics of caregivers (N = 255).
Parameter |
Value |
N |
255 |
Age, median (IQR), years |
38.0 (34.7 - 42.7) |
≤30 |
23 (9) |
30 - 40 |
125 (49) |
>40 |
107 (42) |
Maternity leave given for this child |
|
Yes |
33 (12.9) |
No |
222 (87.1) |
Marital status |
|
Married/Cohabiting |
157 (61.6) |
Divorced |
55 (21.6) |
Single |
43 (16.9) |
Education level |
|
No formal education |
11 (4.3) |
Primary |
147 (57.6) |
Secondary |
83 (32.5) |
Tertiary |
14 (5.5) |
Employment status |
|
Unemployed |
35 (13.7) |
Employed |
30 (11.8) |
Self employed |
21 (8.2) |
Farmer |
169 (66.3) |
Family income (Tanzanian shillings) |
|
<100,000 |
45 (17.8) |
100,000 - 250,000 |
102 (40.3) |
>250,000 |
106 (41.9) |
Does the caregiver consume alcohol |
|
Yes |
41 (16.1) |
No |
214 (83.9) |
Partners HIV status disclosure |
|
Yes |
150 (58.8) |
No |
105 (41.2) |
Aware on HIV related nutritional requirements |
|
Yes |
216 (84.7) |
No |
39 (15.3) |
Note: Values are presented as n (%).
3.3. Feeding Practices
Table 4 presents feeding practices among HIV infected children. Breastfeeding was nearly universal (95.7%). Among children under 5 years, 92.50% were exclusively breastfed for the first 6 months. Timely introduction of complementary feeding at six months was observed in 54.1%. Minimum dietary diversity was achieved by 94.9% of children and was more common among children over two years of age (96.8%) than among those under two years (44.4%) (Figure 1). However, minimum meal frequency was adequate in only 50.6%, Figure 2. Only 22.4% of caregivers reported following a structured feeding schedule. Figure 3 shows that household food insecurity is widespread, with many households experiencing limited diet variety, undesired foods, and reduced intake. Severe food insecurity, such as complete food shortages or going to bed hungry, occurs less often but remains a concern. Minimum meal frequency showed the inverse age pattern to MDD: adequate in 88.9% (8/9) of children under 2 years, compared with only 49.2% (121/246) of children 2 years and older.
Table 4. Feeding practices among HIV infected children attending CTCs in Moshi Municipal (N = 255).
Parameter |
Value |
Has the child ever been breast fed |
|
Yes |
244 (95.7) |
No |
11 (4.3) |
Time of introduction of complementary feeding |
|
<6 months |
117 (45.9) |
≥6 months |
138 (54.1) |
Minimum meal frequency |
|
Adequate |
129 (50.6) |
Not adequate |
126 (49.4) |
Minimum dietary diversity |
|
Adequate |
242 (94.9) |
Not adequate |
13 (5.1) |
Does the child follow any feeding schedule |
|
Yes |
57 (22.4) |
No |
198 (77.6) |
Has the caregiver received HIV related feeding counsel during ANC? |
|
Yes |
208 (81.6) |
No |
47 (18.4) |
Is the caregiver aware of the HIV-related nutritional requirements of the child? |
Yes |
216 (84.7) |
No |
39 (15.3) |
Note: Values are presented as n (%).
3.4. Prevalence of Stunting and Wasting
Overall prevalence of stunting was 40.8%, and wasting was 14.1%. Only 35.3% of the children had a normal nutritional status. Figure 4 presents the prevalence of stunting and wasting stratified by sex (panel A), age (panel B), HIV clinical stages (panel C), and minimum meal frequency (panel D). Stratified by area of residence, stunting was 38.3% among urban-residing children compared with 47.8% among rural-residing children, and wasting was 12.2% among urban-residing children compared with 19.4% among rural-residing children (Table 5).
Figure 1. Fulfilment of MDD among 255 HIV infected children attending CTC in Moshi Municipality according to the age groups.
Figure 2. Fulfilment of MMF among 255 HIV infected children attending CTC in Moshi Municipality according to the age groups.
Green bars (“No”) indicate food security for that specific item; orange bars (“Yes”) indicate an experience of food insecurity within the household recall window
Figure 3. Household food insecurity experiences.
Figure 4. Prevalence of mixed forms of malnutrition among 255 children in Moshi Municipality. Panel A; distribution of malnutrition status by sex, panel B; malnutrition status by age, panel C; malnutrition status by HIV clinical stage and panel D; malnutrition status by minimum meal frequency received.
Table 5. Factors influencing stunting among HIV infected children attending CTCs in Moshi Municipal.
Parameter |
N |
Stunted |
Univariate analysis |
Multivariate analysis |
COR (95% CI) |
p-value |
AOR (95% CI) |
p-value |
N |
255 |
104 (40.8) |
|
|
|
|
Information of the child |
|
|
|
|
|
|
Age (years) |
|
|
|
|
|
|
≤5 |
40 |
9 (22.5) |
1 |
|
|
|
>5 |
215 |
95 (44.2) |
2.73 (1.24, 6) |
0.013 |
0.9 (0.31, 2.63) |
0.848 |
Sex |
|
|
|
|
|
|
Male |
121 |
44 (36.4) |
1 |
|
|
|
Female |
134 |
60 (44.8) |
1.42 (0.86, 2.35) |
0.173 |
|
|
Residence |
|
|
|
|
|
|
Urban |
188 |
72 (38.3) |
1 |
|
|
|
Rural |
67 |
32 (47.8) |
1.47 (0.84, 2.58) |
0.177 |
|
|
Clinical characteristics |
|
|
|
|
|
|
Age of the child at diagnosis (in years) |
|
|
|
|
|
|
<2 |
152 |
52 (34.2) |
1 |
|
|
|
2 - 5 |
80 |
34 (42.5) |
1.42 (0.82, 2.48) |
0.215 |
1.12 (0.53, 2.36) |
0.764 |
>5 |
23 |
18 (78.3) |
6.92 (2.43, 19.7) |
<0.001 |
2.86 (0.77, 10.59) |
0.116 |
Has the child ever been hospitalized |
Yes |
161 |
73 (45.3) |
1 |
|
1 |
|
No |
94 |
31 (33.0) |
0.59 (0.35, 1.01) |
0.054 |
0.45 (0.22, 0.93) |
0.032 |
Is the child on Co-trimoxazole |
|
|
|
|
|
|
Yes |
127 |
48 (37.8) |
1 |
|
|
|
No |
128 |
56 (43.8) |
1.28 (0.78, 2.11) |
0.334 |
|
|
What is the source of hospital payment |
Cash |
133 |
56 (42.1) |
1 |
|
|
|
Health insurance |
26 |
9 (34.6) |
0.73 (0.3, 1.75) |
0.479 |
|
|
Social welfare |
96 |
39 (40.6) |
0.94 (0.55, 1.6) |
0.823 |
|
|
HIV clinical stage |
|
|
|
|
|
|
Stage I + II (Early stage) |
124 |
12 (9.7) |
1 |
|
1 |
|
Stage III + IV (Late stage) |
131 |
92 (70.2) |
22.02 (10.9, 44.48) |
<0.001 |
11.29 (4.99, 25.5) |
<0.001 |
Viral load (copies) |
|
|
|
|
|
|
≤50 |
202 |
71 (35.1) |
1 |
|
|
|
>50 |
53 |
33 (62.3) |
3.04 (1.63, 5.69) |
<0.001 |
1.2 (0.54, 2.67) |
0.654 |
ART regimen child in |
|
|
|
|
|
|
ABC/3TC/DTG |
154 |
62 (40.3) |
1 |
|
|
|
TLD |
101 |
42 (41.6) |
1.06 (0.63, 1.76) |
0.833 |
|
|
Information of the caregivers |
|
Age of caregivers |
|
|
|
|
|
|
≤30 |
23 |
10 (43.5) |
1 |
|
|
|
30 - 40 |
125 |
44 (35.2) |
0.71 (0.29, 1.74) |
0.45 |
|
|
>40 |
107 |
50 (46.7) |
1.14 (0.46, 2.83) |
0.777 |
|
|
Marital status of the caregiver |
|
|
|
|
|
|
Married/Cohabiting |
157 |
55 (35.0) |
1 |
|
|
|
Divorced |
55 |
28 (50.9) |
1.92 (1.03, 3.58) |
0.039 |
0.97 (0.42, 2.22) |
0.939 |
Single |
43 |
21 (48.8) |
1.77 (0.9, 3.5) |
0.101 |
0.92 (0.37, 2.3) |
0.863 |
Employment status of caregiver |
|
|
|
|
|
|
Unemployed |
35 |
14 (40.0) |
1 |
|
|
|
Employed |
30 |
14 (46.7) |
1.31 (0.49, 3.52) |
0.589 |
|
|
Self employed |
21 |
9 (42.9) |
1.13 (0.38, 3.37) |
0.833 |
|
|
Farmer |
169 |
67 (39.6) |
0.99 (0.47, 2.07) |
0.969 |
|
|
Family income (Tanzanian shilling) |
≤100,000 |
45 |
21 (46.7) |
1 |
|
|
|
100,000 - 250,000 |
102 |
47 (46.1) |
0.98 (0.4, 1.97) |
0.947 |
|
|
>250,000 |
106 |
35 (33.0) |
0.56 (0.28, 1.15) |
0.114 |
|
|
Feeding Practices |
|
|
|
|
|
|
Minimum meal frequency |
|
|
|
|
|
|
Adequate |
129 |
24 (18.6) |
1 |
|
1 |
|
Not adequate |
126 |
80 (63.5) |
7.61 (4.29, 3.49) |
<0.001 |
3.12 (1.44, 6.77) |
0.004 |
Minimum dietary diversity |
|
|
|
|
|
|
Adequate |
242 |
98 (40.5) |
1 |
|
|
|
Not adequate |
13 |
6 (46.2) |
1.26 (0.41, 3.86) |
0.686 |
|
|
Did the Caregiver received Nutritional education during ANC visits |
Yes |
208 |
81 (38.9) |
1 |
|
|
|
No |
47 |
23 (48.9) |
1.5 (0.8, 2.84) |
0.21 |
|
|
Is the caregiver aware on HIV related nutritional requirements |
Yes |
216 |
85 (39.4) |
1 |
|
|
|
No |
39 |
19 (48.7) |
1.46 (0.74, 2.9) |
0.275 |
|
|
COR; crude odds ratio, AOR; adjusted odds ratio, CI; Confidence interval.
3.5. Factors Associated with Stunting
In multivariable logistic regression, advanced WHO HIV clinical stage (III/IV) was 11 times more likely to be stunted than those in earlier stages (AOR = 11.29, 95%, p < 0.001). Children who had never been hospitalised had 55% lower odds of stunting than those who had been hospitalized (AOR = 0.45, p = 0.032). Inadequate MMF tripled the odds of stunting (AOR = 3.12, p = 0.004). In the univariate analysis a higher risk of stunting among children aged ≥ 5 years (OR = 2.73, p = 0.013), those diagnosed more than five years ago from the time of enrolment (OR = 6.92, p < 0.001), those with viral loads ≥ 50 copies/mL (OR = 3.04, p < 0.001), and those living with divorced caregivers (OR = 1.92, p = 0.039). However, these risk factors were not statistically significant in multivariate analysis (Table 5).
3.6. Factors Associated with Wasting
Table 6 presents factors associated with wasting. HIV infection was a significant risk factor, with children in late-stage HIV infection (stage III/IV) having about four times higher odds of being wasted than those in early HIV stages (AOR = 3.83, p = 0.014). Children who received inadequate MMF were three times more likely to be wasted than those who received adequate MMF (AOR = 3.04, p = 0.039). Children without a history of hospitalization were more than twice as likely to experience wasting compared to those who had been hospitalized previously (AOR = 2.37, p = 0.032).
Table 6. Factors influencing wasting among HIV infected children attending CTCs in Moshi Municipal.
Parameter |
N |
Wasting |
Univariate analysis |
Multivariate analysis |
COR (95% CI) |
p-value |
AOR (95% CI) |
p-value |
|
255 |
36 (14.1) |
|
|
|
|
Information of the child |
Age (years) |
|
|
|
|
|
|
≤5 |
40 |
3 (7.5) |
1 |
|
|
|
>5 |
215 |
33 (15.3) |
2.24 (0.65, 7.68) |
0.201 |
|
|
Sex |
|
|
|
|
|
|
Male |
121 |
18 (14.9) |
1 |
|
|
|
Female |
134 |
18 (13.4) |
0.89 (0.44, 1.8) |
0.741 |
|
|
Residence |
|
|
|
|
|
|
Urban |
188 |
23 (12.2) |
1 |
|
|
|
Rural |
67 |
13 (19.4) |
1.73 (0.82, 3.64) |
0.151 |
|
|
What is the source of hospital payment |
|
|
|
|
|
|
Cash |
133 |
18 (13.5) |
1 |
|
|
|
Health insurance |
26 |
2 (7.7) |
0.53 (0.12, 2.45) |
0.418 |
|
|
Social welfare |
96 |
16 (16.7) |
1.28 (0.61, 2.66) |
0.511 |
|
|
Clinical characteristics |
|
|
|
|
|
|
Age of the child at diagnosis (in years) |
|
|
|
|
|
|
<2 |
152 |
22 (14.5) |
1 |
|
|
|
2 - 5 |
80 |
11 (13.8) |
0.94 (0.43, 2.06) |
0.881 |
|
|
>5 |
23 |
3 (13.0) |
0.89 (0.24, 3.24) |
0.855 |
|
|
Has the child ever been hospitalized |
Yes |
161 |
17 (10.6) |
1 |
|
1 |
|
No |
94 |
19 (20.2) |
2.15 (1.05, 4.37) |
0.035 |
2.37 (1.08, 5.2) |
0.032 |
Is the child on Co-trimoxazole |
|
|
|
|
|
|
Yes |
127 |
24 (18.9) |
1 |
|
1 |
|
No |
128 |
12 (9.4) |
0.44 (0.21, 0.93) |
0.032 |
0.5 (0.22, 1.12) |
0.09 |
HIV clinical stage |
|
|
|
|
|
|
Stage I + II (Early stage) |
124 |
6 (4.8) |
1 |
|
1 |
|
Stage III + IV (Late stage) |
131 |
30 (22.9) |
5.84 (2.34, 14.6) |
<0.001 |
3.83 (1.31, 11.26) |
0.014 |
Viral load (copies) |
|
|
|
|
|
|
≤50 |
202 |
27 (13.4) |
1 |
|
|
|
>50 |
53 |
9 (17.0) |
1.33 (0.58, 3.02) |
0.502 |
|
|
ART regimen the child is on |
|
|
|
|
|
|
ABC/3TC/DTG |
154 |
28 (18.2) |
1 |
|
|
|
TLD |
101 |
8 (7.9) |
0.39 (0.17, 0.89) |
0.025 |
0.47 (0.19, 1.15) |
0.097 |
Information of the caregivers |
Age of caregivers |
|
|
|
|
|
|
≤30 |
23 |
1 (4.4) |
1 |
|
|
|
30 - 40 |
125 |
18 (14.4) |
3.7 (0.47, 29.19) |
0.214 |
|
|
>40 |
107 |
17 (15.9) |
4.16 (0.52, 32.93) |
0.177 |
|
|
Marital status of caregiver |
|
|
|
|
|
|
Married/Cohabiting |
157 |
18 (11.5) |
1 |
|
|
|
Divorced |
55 |
9 (16.4) |
1.51 (0.63, 3.59) |
0.351 |
|
|
Single |
43 |
9 (20.9) |
2.04 (0.84, 4.95) |
0.113 |
|
|
Employment status of caregiver |
|
|
|
|
|
|
Unemployed |
35 |
5 (14.3) |
1 |
|
|
|
Employed |
30 |
3 (10.0) |
0.67 (0.15, 3.06) |
0.602 |
|
|
Self employed |
21 |
2 (9.5) |
0.63 (0.11, 3.59) |
0.604 |
|
|
Farmer |
169 |
26 (15.4) |
1.09 (0.39, 3.07) |
0.869 |
|
|
Family income (Tanzanian shilling) |
|
|
|
|
|
|
≤100,000 |
45 |
9 (20.0) |
1 |
|
|
|
100,000 - 250,000 |
102 |
14 (13.7) |
0.64 (0.25, 1.6) |
0.337 |
|
|
>250,000 |
106 |
13 (12.3) |
0.56 (0.22, 1.42) |
0.222 |
|
|
Feeding Practices |
|
|
|
|
|
|
Minimum meal frequency |
|
|
|
|
|
|
Adequate |
129 |
6 (4.7) |
1 |
|
1 |
|
Not adequate |
126 |
30 (23.8) |
6.41 (2.56, 16.02) |
<0.001 |
3.04 (1.06, 8.72) |
0.039 |
Minimum dietary diversity |
|
|
|
|
|
|
Adequate |
242 |
35 (14.5) |
1 |
|
|
|
Not adequate |
13 |
1 (7.7) |
0.49 (0.06, 3.91) |
0.503 |
|
|
Did the Caregiver received Nutritional education during ANC visits |
Yes |
208 |
31 (14.9) |
1 |
|
|
|
No |
47 |
5 (10.6) |
0.68 (0.25, 1.85) |
0.45 |
|
|
Is the caregiver aware on HIV related nutritional requirements |
Yes |
216 |
28 (13.0) |
1 |
|
|
|
No |
39 |
8 (20.5) |
1.73 (0.72, 4.15) |
0.217 |
|
|
COR; crude odds ratio, AOR; adjusted odds ratio, CI; Confidence intervals; Tanzanian shillings.
4. Discussion
The findings in this study indicate a high burden of malnutrition among HIV-infected children in Moshi Municipality, with an overall prevalence of stunting at 40.8% and wasting at 14.1%. Notably, even among children residing in urban areas, where healthcare access and living conditions are generally presumed to be better, stunting affected 38.3% and wasting 12.2%, compared with 47.8% and 19.4% respectively among rural-residing children. This finding is important because malnutrition is often assumed to be predominantly a rural problem; our data show that, in this HIV-infected paediatric population, urban residence does not confer strong protection against chronic and acute undernutrition, likely reflecting the added burden of HIV-related immunological and metabolic stress that persists regardless of setting. Both stunting and wasting were also strongly influenced by HIV clinical stage and inadequate MMF.
The prevalence of 40.8% fall in a wide range of stunting, with the studies conducted in East Africa and sub-Saharan Africa, 5.5% - 77.0% among HIV-positive children, and closer to the pooled estimate of 46.7% [2] [3]. Unlike community-based surveys, hospital-based Care and Treatment Clinics (CTCs) naturally capture a higher concentration of children presenting with complex clinical profiles. Higher stunting has been reported in other facility-based studies, such as the 61.9% stunting prevalence found among children attending CTCs in the Tanga region of Tanzania [10], and prevalence ranging between 45.2% and 56.9% in specialized paediatric hospital clinics across Ethiopia [9] [11].
We found the prevalence of wasting was 14.1%, which falls within a range of studies conducted in East African and sub-Saharan African countries, 2.5% - 52.0% and close to the pooled estimate of 23.0% [2] [3]. The estimate found in this study is four times lower compared to 52% in a study done in Senegalese children [12]. This difference may be explained by the significantly higher proportion of delayed treatment initiations in the Senegalese cohort compared to our study population. In our study, 37% of the children presented with severe immunosuppression (CD4 count < 200 cells/µL) prior to the initiation of ART, whereas in the study in Senegalese children, 84% of the children initiated ART at a late, advanced stage of infection [12]. On the other hand, it is similar to the national prevalence of 13.0% [4], despite differences in study settings. This is because wasting reflects acute, short-term nutritional deficits or transient clinical insults such as recent diarrheal illness or seasonal household food insecurity and hence our observed wasting prevalence is likely driven by general paediatric environmental and socioeconomic vulnerabilities common across Tanzania, rather than unmitigated, HIV-driven metabolic failure.
Advanced WHO HIV clinical stages are strongly associated with stunting, as children in stage III or IV demonstrate 11 times higher odds of stunting compared to those in earlier stages. Similarly, children in stage III or IV have four times higher odds of wasting than their counterparts. Previous research indicates that advanced clinical staging and severe immunosuppression are primary contributors to both short-term and long-term growth problems among children in sub-Saharan Africa [2] [8] [9]. These associations are biologically plausible because advanced AIDS reduces appetite in children through opportunistic infections, resulting in undernutrition. Advanced HIV disease is also characterized by persistent immune activation and systemic inflammation, which increase metabolic demands and divert energy from growth processes [13] [14]. This negative energy balance impairs linear growth and leads to acute weight loss [2] [3].
MMF reflects the energy density and caloric adequacy of a child’s diet. Inadequate MMF often indicates household food insecurity, including reduced meal frequency and limited food variety, both of which were prevalent in this study population. According to the WHO, meeting this standard helps prevent malnutrition in infants and toddlers and ensures adequate calorie intake [14]. Strikingly, about half of the study population did not meet the MMF threshold. Our findings indicate that children who did not meet this standard were three times more likely to experience stunting and wasting. This significant association highlights a distinct dietary dissociation within this vulnerable population. Previous studies have similarly demonstrated that inadequate MMF is strongly associated with poor growth outcomes [15] [16], emphasizing that the quantity and regularity of feeding are more critical than dietary variety alone in this population [10] [17]. High caregiver workload, competing household demands, and limited attention to older children often lead to irregular feeding routines and reduce the likelihood of meeting minimum meal frequency standards. Notably, MDD and MMF showed divergent patterns by age in this cohort: younger children (<2 years) had poorer dietary diversity (44.4% adequate) but better meal frequency (88.9% adequate), while older children (≥2 years) showed the reverse—excellent dietary diversity (96.8% adequate) but poor meal frequency (49.2% adequate). This likely reflects differing caregiving priorities: infants and young children may be fed frequently but with limited variety, relying on staple or milk-based diets, whereas older children access a more varied family diet but are fed less regularly and often unsupervised, as caregiver attention shifts toward younger siblings. Given that only 9 children fell within the WHO-validated 6 - 23-month age range for these indicators, the <2-year estimates should be interpreted with caution due to the very small subgroup size and should be confirmed in larger samples. This pattern contrasts with findings from a comparable population in Tanga region, Tanzania, where Sunguya et al. [10] studied 748 HIV-positive children aged 6 months to 14 years across 9 CTCs and found considerably poorer feeding practices, with 88.1% fed below the recommended frequency and 62.3% having low dietary diversity, despite Tanga being a food-secure, high-production region. Taken together with our findings, this suggests that food availability alone does not guarantee adequate feeding practices, and that structured caregiver counselling on feeding frequency and diversity, rather than food access alone, may be central to improving adherence to IYCF recommendations in HIV-affected households.
A history of hospitalisation was independently associated with both stunting and wasting. Children without prior hospitalisation exhibited a 55% lower likelihood of stunting but were more than twice as likely to experience wasting. Hospitalisation history likely serves as a proxy for recurrent severe infections and episodes of acute illness that further deplete nutritional reserves and interrupt growth [8]. Notably, children who had never been hospitalised demonstrated lower odds of stunting, indicating that undetected or unmanaged acute events in the community may still contribute to chronic nutritional deficits. This divergence may reflect the differing time-courses of the two conditions: hospitalisation is a proxy for recurrent severe illness and cumulative morbidity, plausibly driving chronic linear growth faltering (stunting). Wasting, by contrast, is an acute condition that may be treated during admission through nutritional rehabilitation or therapeutic feeding, potentially resolving by the time of assessment. Wasted children with no hospitalisation history may therefore represent cases of ongoing, undetected acute malnutrition in the community that have not yet prompted clinical intervention, a group warranting targeted community-level screening.
The study has several notable strengths. It included children aged 6 months to 14 years, enabling assessment of nutritional indicators across key developmental stages, and used comprehensive sampling from all 10 Care and Treatment Clinics (CTCs) in the municipality, increasing representativeness of the local HIV-infected paediatric population.
However, it has important limitations. The cross-sectional design prevents causal inference, so specific factors cannot be concluded to have caused stunting or wasting. Dietary behaviours (MMF and MDD) were assessed using maternal or caregiver 24-hour recall, which is subject to recall and social desirability biases and may lead to inaccurate reports of usual dietary patterns and food insecurity.
Further limitations should be noted. Although MDD and MMF have been formally validated only for children aged 6 - 23 months, several studies have applied them to older children. In the present study, the 6 - 23-month subgroup included only nine children, so estimates for this group should be interpreted with caution. Extension of these indicators beyond the validated age range should be regarded as descriptive. Finally, as a facility-based sample restricted to children actively attending CTC visits, the findings may not be generalisable to HIV-infected children who are lost to follow-up, undiagnosed, or not engaged in routine care.
5. Conclusion
Stunting and wasting remain common among HIV-infected children in Moshi Municipality. Advanced HIV disease and inadequate meal frequency are the main modifiable risk factors. These results highlight the complex interactions between biomedical and socio-behavioural factors that contribute to malnutrition in this population.
Recommendations
Integrate routine nutritional screening and counselling, with strong emphasis on minimum meal frequency, into every CTC visit. Prioritise intensified nutrition support for children in WHO stage III/IV and those with history of hospitalisation. Strengthen caregiver education programmes and multisectoral food security initiatives. Future longitudinal studies should assess the impact of targeted feeding interventions on growth outcomes, particularly approaches such as structured feeding schedules and micronutrient supplementation among HIV-infected children.
Author Contributions
SMB conceived and designed the study, collected data, performed analysis, and drafted the manuscript. AS, GK, and RP supervised the study and critically reviewed the manuscript. AA performed analysis and reviewed the manuscript.
Acknowledgements
The authors express their gratitude to the Ministry of Health, CTC staff, caregivers, and children who participated in the study, as well as to Dr. Nuru Awadh, Veronica Mgalula, Tatu Mgoo, Jacquiline Mosha, Yustina Kibiki, Eshimendi Swai, Hamis Mwirangi and Joseph Lyimo from the Department of Paediatrics and Child Health at KCMC for their valuable support during the conduct of this study. The first author sincerely thanks her family and Dr. Mohamed Rashid for their unwavering support and encouragement throughout this study.