Abstract
Introduction
Under‐five mortality reduction due to pneumonia is not Signiant, particularly in developing countries. Pneumonia contributed to 27.5% to 31.3% of health facility visits by children 2 to 59 months in Aleta Wondo Woreda. Previous studies have shown inconclusive evidence on determinants of pneumonia in children.
Methods
An institution‐based unmatched case–control study was conducted to assess determinants of pneumonia among under‐five children at Aleta Wondo Woreda, Sidama Region.
Result
One‐hundred forty‐five cases and 290 controls of children aged 2 to 59 months participated in the study. The mean ± (SD) age of the children was 18.81 months (2.1 ± 11.43) and 28.26 months (2.1 ± 16.007) for cases and controls, respectively. Only 56% (n = 145) of cases open house windows daily, whereas most 68.6% (n = 290) of controls house windows open daily. Ninety five (62.8%) of cases and 68.6% of controls were exclusively breastfed for 6 months. Household income ≥1500 Ethiopian birr (AOR = 0.45, 95% CI, 0.017–0.120, p < 0.000), child location outside of cooking house during cooking (AOR = 0.101, 95% CI, 0.43–0.238, p < 0.000), no formal education of the mother (AOR = 2.398, 95% CI, 1.082–5.316, p < 0.031), and presence of history of upper respiratory tract infections (URTIs) in last 2 weeks (AOR = 2.183, 95% CI, 1.684–5.273, P < 0.049) were determinants of pneumonia.
Conclusion
Determinants of pneumonia in under‐five children were multifactorial (socioeconomic, nutritional, and environmental). Addressing these factors by involving all relevant stakeholders is important to reduce pneumonia‐related morbidity and mortality among under‐five children in the study area.
Keywords: case–control study, children aged 2 to 59 months, determinants, pneumonia
Under‐five mortality reduction due to pneumonia is not Signiant, particularly in developing countries. Pneumonia contributed to 27.5 to 31.3% of health facility visits by children two to 59 months in Aleta Wondo Woreda. Determinants of pneumonia in under‐five children were multifactorial (socioeconomic, nutritional, and environmental).

Abbreviations
- CAP
community‐acquired pneumonia
- CEO
chief executive officer
- CHD
chronic heart disease
- CI
confidence interval
- COR
crude odd ratio
- EFMOH
Federal Ministry of Health of Ethiopia
- EOPD
Emergency Out Patient Department
- GAPPD
Integrated Global Action Plan for Pneumonia and Diarrhea
- HIV
human immune deficiency virus
- HMIS
Health Management Information System
- IMNCI
Integrated Management of Newborn and Childhood Illness
- MUAC
mid‐upper arm in circumferences
- OPD
Out Patient Department
- SNNPR
Southern Nation Nationality Peoples Region
- SSPS
statistical package for social sciences
- UNICEF
United Nations International Children's Emergency Fund
- URTI
upper respiratory tract infection
- USA
United States of America
- WHO
World Health Organization
1. INTRODUCTION
Pneumonia accounted for 16% of under‐five mortality (i.e., killed about 900 000 children in 2016); around 2200 child dies every day. 1 Globally, 1 out of 71 children develop pneumonia every year. 2 Every year, about 7 million under‐five children are admitted to hospitals with pneumonia, requiring urgent oxygen treatment to survive in low‐ and middle‐income countries. 3 Most of the pneumonia‐related deaths were in developing countries due to limited access to evidence‐based interventions. 4
Under‐five mortality reduction due to pneumonia is not Signiant, particularly in developing countries. Only a 54% decline in death was reported in the last two decades, while deaths due to diarrhea have shown a 64% decline. 2 , 5 Some studies showed increased hospital admissions globally and a rapid increase reported by WHO South‐East Asia. Ethiopia is one of five countries that accounted for 49% of global pneumonia deaths in 2015 (India, Nigeria, Pakistan, the Democratic Republic of the Congo, and Ethiopia). 6
In Ethiopia, pneumonia contributes to 16.4% of all deaths of children under 5 years of age more than diarrhea, malaria, AIDS, and measles combined. 7 , 8 The country incorporated the pneumococcal conjugate vaccine into the expanded program on immunization in 2011 to prevent or reduce morbidity and mortality associated with childhood pneumonia. 9
Previous studies indicated comorbid conditions, lack of exclusive breastfeeding, indoor air pollution, parental cigarette smoking, malnutrition, using charcoal for cooking, advanced maternal age, previous upper respiratory tract infections, poor socioeconomic status, keeping domestic animals inside the main house, lack of zinc supplementation, absence of a separate kitchen, father's education, history of diarrhea in child, household history of acute lower respiratory infection, and child born in rural areas as most common determinants for pneumonia in children. 2 , 5 , 10 , 11 , 12 , 13 , 14 , 15 , 16
In Ethiopia, even interventions for under‐five pneumonia like immunization, proper nutrition, exclusive breastfeeding, zinc and vitamin A supplementation, appropriate complimentary feeding, safe drinking water, and good sanitation and control of environmental factors are undertaken by using health extension workers. But the available data show still under‐five pneumonia is the leading problem of economic, social, and economic burden those developing nations like Ethiopia.
Despite the continued effort to reduce the problem, pneumonia remains a challenge to the healthcare system of Ethiopia. The increasing burden of pneumonia in under‐five children in Ethiopia calls for an enduring solution to reduce and or prevent the problem. In addition to this, pneumonia in children contributes to a substantial economic burden on the affected society. 17 , 18 There is inadequate data on the determinants of pneumonia in Aleta Wondo Woreda. Identifying contributing factors is important to inform program managers, policymakers, and the general population. Therefore, this study aimed to identify the determinants of pneumonia among 2 to 59 months old children at a randomly selected health facility in Aleta Wondo Woreda, Sidama Region, Southern Ethiopia.
2. METHODS AND MATERIALS
2.1. Study design, area, and period
A facility‐based unmatched case–control study design was conducted from June 1 to 30, 2022, in the Aleta wondo woreda, which is located in the Sidama Region, Southern Ethiopia. The Aleta wondo woreda was found in southern Addis Ababa 336.0 km and 62.0 km from Hawassa as mentioned on citymeter.net. It is one of woreda in southern Ethiopia in the Sidama Region; it is bordered on the south by Daara woreda, on the west by Chuko, on the north by Dale and Wonsho, on east by Bursa, on the southeast by Hula woreda. Based on 2007 EC population projection of central statistical agency, a total population of the woreda was 188 976 of whom 96 640 are men followed by women 92 336. A total under‐five population in the woreda was 37 636. 15 In the Aleta town administration, there is one public primary hospital and seven health centers on the rural woredas administration as data found from Sidama Region Health Bureau.
2.2. Population
2.2.1. Source population
The source of cases and controls population consisted of children 2 months to 5 years of age living for a minimum of 6 months in Aleta wondo woredas kebeles Sidama Region, Southern Ethiopia.
2.2.2. Study population
The cases were all under‐five children with diagnosed pneumonia by a determined respective physician or healthcare professional based on the Federal Democratic Republic of Ethiopia Ministry of Health Integrated Management of Newborn and Childhood Illness (IMNCI) guideline (adopted from WHO), who came for treatment service during the data collection period. 19 Typical pneumonia is an acute infection of the lungs with symptoms of coughing, fast breathing, and chest indrawing defined by the World Health Organization (WHO) Integrated Management of Childhood Illness (IMNC). 19 Pneumonia is all under‐five cases visit the health facility with cough or difficulty of breathing and age‐specific fast breathing or consolidation or infiltration that are found on chest X‐ray, 19 while controls were children aged 2 to 59 months who presented for immunization, growth monitoring service, and visit for care other than pneumonia case.
2.3. Sample size determination
The sample size was calculated by using Epi Info version 7 (STATCALC program) and calculated the minimum number of cases and controls required by taking assumptions level of significance using 0.05, the power of the test using (1 − β) = 80%. The proportion of exposure among controls (p1) = 42.8% with the proportion of exposure among cases (p2) = 57.3% and AOR = 1.84 was inserted into the Epi Info formula to determine the sample size. 20 Total sample size after a nonresponse rate of 10% consideration accordingly the final sample size was 440 (147 cases and 293 controls) by taking a 1:2 ratio of cases to controls.
2.4. Variables of the study
2.4.1. Dependent variables
Dependent variables are determinants of pneumonia in under‐five children.
2.4.2. Independent variables
Socioeconomic status‐related variables include living in a crowded house, parental cigarette smoking, keeping domestic animals inside the main house, using charcoal for cooking, extended family size, absence of a separate kitchen and or window in the kitchen, advanced maternal age, and father's education. Child‐related variables include comorbid conditions, lack of exclusive breastfeeding, malnutrition, previous URTIs, lack of zinc supplementation, age of the child, previous history of diarrhea, and household history of acute lower respiratory infection, whereas environment‐related variables include indoor air pollution and a house near the street.
2.5. Sampling technique
A clustered systematic random sampling technique involved health facilities in the Woreda including the town administration into a Hospital and the Health Center, the Aleta Wondo Town Primary Hospital selected, and the two health centers randomly taken by the lottery method (Wicho Health Center and Gowadamo Health Center) based on the number of clients/patients who visit each health facility during the previous 6 months from the health facility HMIS data. Then, the total sample size proportionally allocates to each health facility. Selected health facility data were collected by the well‐structured questionnaire attending out‐patient service under‐five children from a select health facility in Aleta Wondo woreda during the study period June 1 to 30, 2022. From the HMIS of each health facility, last 6 months total of 2502, 486, and 144 under‐five children visited Aleta Wondo Primary Hospital, Wicho Health Center, and Gowadamo Health Center, respectively, for service. Out of 2502 total cases attended Aleta Wondo Primary Hospital 689 (27.5%) were pneumonia cases. Out of 486 under‐five children visits to Wicho Health Center, 144 (29.6%) were pneumonia cases. Similarly from a total of 288 under‐five children visits to Gowadamo Health Center, 90 (31.3%) were pneumonia cases. From a total of three health facilities pneumonia cases adding get 923 taking a proportional sample from each health facility, from Aleta Wondo Primary Hospital (108 cases and 218 controls), Wicho Health Center (24 cases and 47 controls), and Gowadamo Health Center (15 cases and 28 controls) were included. 21
2.6. Data collection procedure and instrument
The data were collected by using direct Interviewers to administer well‐structured questionnaires from sample study unit mothers or caregivers who visited under‐five children patients departments. The questionnaire was prepared by adapting from various literature reviews and related case–control studies done in northeast Ethiopia. 12 The questionnaire was developed in English language and then translated into Sidamic language version and back to English to check for consistency. The Sidamic version was used to collect the data by face‐to‐face interview with the mother/caretaker to collect data on socio‐demographic and independent variables. Anthropometric measurements, the child's height (to the nearest 0.1 cm) and weight (to the nearest 0.1 g), were taken. The interview was carried out in a private room, which was prepared near the under‐five outpatient department. The nutritional status of the children was determined using enhanced nutritional action (ENA) software. 22 The WHO (2006) growth standard to report principal anthropometric results and the global acute malnutrition standard was used to categorize a child's condition as stunted, wasted, or underweight. 23
2.7. Data quality assurance and analysis
2.7.1. Data quality assurance
The pretest was conducted by taking 10% of the total sample size and applying the questionnaire, and amendments were made based on findings. Three nurses received 1 day of training on data collection procedures and rules. Ongoing supervision was made by principal investigators during the data collection period. Language experts translated the questionnaire from English to the Sidamic version.
2.7.2. Data analysis
All data were checked, coded, and entered into Epi‐data Version 6.2 and then exported to SPSS Version 25 for further analysis. The principal investigator checked the extent of outliers, the different statistical assumptions, and the appropriate correction mechanisms before analysis. The association of each independent variable was assessed with binary logistic regression, and the strength of their association was computed by an unadjusted odds ratio (COR, 95% CI). Variables showing statistically significant associations with the outcome variables (up to p = 0.2) were considered as potential determinants of pneumonia and simultaneously subjected to stepwise multiple logistic regression models to determine the significant independent determinants of pneumonia. A p‐value < 0.05 was considered statistically significant.
3. RESULT
3.1. Sociodemographic characteristics
One‐hundred forty‐five cases and 290 controls of children aged 2 to 59 months participated in the study, making the response rate 98.6% and 99% for cases and controls, respectively. The mean ± (SD) age of the child was 18.81 months (2.1 ± 11.43) and 28.26 months (2.1 ± 16.007) for cases and controls, respectively. The gender of the children was 51.7% (n = 145) of cases and 49.3% (n = 290) of controls were male. The mean ± (SD) age of mothers was 26.66 years (2.1 ± 6.24) and 25.64 years (2.1 ± 4.68) for cases and controls, respectively. The educational status of mothers 7% of cases and 5.5% of controls were illiterate (Table 1).
TABLE 1.
Sociodemographic characteristics of under‐five children, in selected health facilities at Aleta Wondo Woreda, Sidama Region, Ethiopia 2022 (N = 145 cases and 290 controls).
| Variables | Cases (%) | Controls (%) | |
|---|---|---|---|
| Age of child in months | Less than 12 months | 55 (37.9) | 122 (41.7) |
| 12–60 months | 90 (62.1) | 168 (57.3) | |
| Sex of child | Male | 75 (51.7) | 143 (49.3) |
| Female | 70 (48.3) | 147 (50.7) | |
| Age of the mother | 15–24 | 53 (36.6) | 111 (38.3) |
| 25–34 | 79 (54.4) | 03 (35.5) | |
| Greater than 34 | 13 (9) | 76 (26.2) | |
| Education status of mother education | No formal education attended | 10 (7) | 16 (5.5) |
| Primary (1–4 compete) | 21 (14.5) | 40 (13.8) | |
| Primary (5–8 completed) | 38 (26.2) | 59 (20.3) | |
| Secondary (9–12 completed) | 65 (44.8) | 107 (36.9) | |
| Higher education | 11 (7.8) | 68 (23.5) | |
| Mother's occupation | Housewife | 64 (44) | 147 (50.8) |
| Government employee | 17 (11.7) | 23 (7.9) | |
| Merchant | 11 (7.6) | 34 (11.7) | |
| Others (farmers, daily workers, and students) | 53 (36.7) | 86 (29.6) | |
| Father's occupation | Government employee | 23 (15.8) | 36 (12.4) |
| Merchant | 34 (23.6) | 94 (32.4) | |
| Farmer | 55 (37.9) | 108 (37.2) | |
| Others (drivers, students, private, and factory workers) | 33 (22.7) | 52 (17.9) | |
| Family size | <4 | 31 (21.3) | 112 (38.6) |
| ≥4 | 114 (78.7) | 178 (61.4) | |
| Residence | Rural | 87 (60) | 192 (66.2) |
| Urban | 58 (40) | 98 (33.8) | |
| Household monthly income | <1500 | 70 (48.3) | 129 (44.5) |
| ≥1500 | 75 (51.7) | 161 (55.5) | |
3.2. House and environment‐related characteristics
Only 56% (n = 145) of cases open house windows daily, whereas most 68.6% (n = 290) of controls house windows open daily. The family cooks food in the living room in 60% of cases and only in 33.3% of controls. Most respondents have used it as a fuel source for cooking wood/crops about 92.2% of cases and 60% of controls. A mother caring back or besides during food cooking in 42.1% of cases and about 36.2% of controls (Table 2 and Figure 1).
TABLE 2.
Housing and environmental‐related characteristics of respondents in selected health facilities at Aleta Wondo Woreda, Sidama region, Ethiopia, 2022 (N = 145 cases and N = 290 controls).
| Variables | Cases (%) | Controls (%) | ||
|---|---|---|---|---|
| Place of cooking | Living room | 87 (60) | 96 (33.3) | |
| Kitchen | 58 (40) | 194 (66.7) | ||
| Windows in house | Less than 2 windows in the house | 47 (32.4%) | 147 (50.6) | |
| 2 and more windows in the house | 98 (67.5%) | 143 (49.3) | ||
| Fuel used for cooking | Charcoal | Yes | 57 (39.3) | 123 (42.4) |
| No | 88 (60) | 167 (57.6) | ||
| Wood/crop | Yes | 134 (92.4) | 174 (60) | |
| No | 11 (7.6) | 116 (40) | ||
| Electricity | Yes | 57 (39.3) | 94 (32.4) | |
| No | 88 (60.7) | 196 (67.6) | ||
| Family history of smoking cigarette | Yes | 7 (4.8) | 18 (6.2) | |
| No | 138 (95.2) | 272 (93.8) | ||
| The house window open | Daily | 80 (56) | 199 (68.6) | |
| Usual | 63 (44) | 91 (31.4) | ||
| Place of child sleep | Separate room | 79 (54.5) | 167 (57.6) | |
| Same room for food cooking | 66 (45.5) | 123 (42.4) | ||
| Child location during cooking | Outside of the cooking house | 84 (57.9) | 185 (63.8) | |
| Back or beside caring mother | 61 (42.1) | 105 (36.2) | ||
| Kind of toilet | Pit latrine | 114 (78.6) | 246 (84.8) | |
| Open field | 25 (17.3) | 31 (10.7) | ||
| Ventilate improved pit latrine | 6 (4.1) | 13 (4.5) | ||
FIGURE 1.

Child location during cooking among respondents in selected health facilities at Aleta Wondo Woreda, Sidama region, Ethiopia, 2022 (N = 145 cases and N = 290 controls).
3.3. The child and parent‐related characteristics
Of the nutritional status of under‐five children, 48.3% (n = 145) of cases and 39.3% (n = 290) of controls were stunted; 26.2% of cases and 23.8% of controls were underweight; and 4.2% of cases and 14 four point eight percent of controls were wasted (too thin for his or her height) (Figure 2).
FIGURE 2.

Nutritional status of under‐five children in selected health facilities at Aleta Wondo Woreda, Sidama Region, Ethiopia, 2022 (N = 145 cases and N = 290 controls).
About 95 children 62.8% of cases and 68.6% of controls were exclusively breastfed for 6 months. Sixty children 41.4% of cases and 128 (44.1%) controls had a history of diarrhea in the last 2 weeks. About 38 (26.2%) of cases and 26.9% of controls had upper respiratory tract infections (URTIs) within 2 weeks before the facility visit. The family pneumonia attack experienced the 2 weeks before visiting a health facility were 50, 34.5% of cases and 29.6% controls (Table 3).
TABLE 3.
Children and parental‐related characteristics of respondents in selected health facilities at Aleta Wondo Woreda, Sidama Region, Ethiopia, 2022 (N = 145 cases and N = 290 controls).
| Variable | Cases (%) | Controls (%) | |
|---|---|---|---|
| Breastfeed first 6 months | Exclusive BF | 91 (62.8) | 199 (68.6) |
| Mixed BF | 54 (37.2) | 91 (31.4) | |
| History of pneumonia in family within 2 weeks | Yes | 50 (34.5) | 86 (29.6) |
| No | 95 (65.5) | 204 (70.4) | |
| Diarrhea within last 2 weeks | Yes | 60 (41.4) | 128 (44.1) |
| No | 85 (58.6) | 162 (55.9) | |
| Illness of URTIs within 2 weeks | Yes | 38 (26.2) | 78 (26.9) |
| No | 107 (73.8) | 212 (73.1) | |
| Vaccination status of the child | Fully vaccinated | 94 (64.8) | 183 (63.1) |
| Up to date | 37 (25.5) | 77 (26.6) | |
| Partially vaccinated | 13 (8.9) | 28 (9.7) | |
| Unvaccinated | 1 (0.8) | 2 (0.6) | |
3.4. Mean difference of exposure between cases and controls
We conducted an independent sample t test to evaluate the equality of variance and mean difference among cases and controls to exposure variables. To check the similarity of variance among cases and controls, Levene's test for equality of variances was used (i.e., equal variances, p > 0.05, and unequal variances p < 0.05). Similarly, to identify the mean difference among cases and controls t test for equality of means was used (i.e. p < 0.05 means a significant difference in the means of the two sample populations tested (cases and controls). Since the variance is greater than 4 in almost all of the test variables, we assumed unequal variance and used a one‐sample t test. 24 Exposures associated with increased risk of pneumonia in under‐five children were maternal education (p < 0.001), age of the child in months (p < 0.006), income of family (p < 0.000), place of cooking (p < 0.006), separation of kitchen (p < 0.000), presence of windows in the house (p < 0.000), MUAC (p < 0.012), and history of lower respiratory tract infections (p < 0.007) (Table 4).
TABLE 4.
Independent sample t test of respondents in selected health facilities at Aleta Wondo Woreda, Sidama Region, Ethiopia, 2022 (N = 145 cases and N = 290 controls).
| Independent samples test | Levene's test for equality of variances | T‐test for equality of means | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| F | Sig. | T | Df | Sig. (2‐tailed) | Mean difference | Std. error difference | 95% CI of the difference | |||
| Lower | Upper | |||||||||
| Maternal education | EVA | 14.294 | 0.000 | −3.129 | 433 | 0.002 | −0.24483 | 0.07824 | −0.39861 | −0.09104 |
| EVNA | −3.298 | 331.644 | 0.001 * | −0.24483 | 0.07424 | −0.39087 | −0.09878 | |||
| Family residence | EVA | 7.249 | 0.007 | 1.491 | 433 | 0.137 | 0.072 | 0.049 | −0.023 | 0.168 |
| EVNA | 1.469 | 276.961 | 0.143 | 0.072 | 0.049 | −0.025 | 0.169 | |||
| Age of child in month | EVA | 25.383 | 0.000 | −2.854 | 433 | 0.005 | −0.13103 | 0.04592 | −0.22129 | −0.04078 |
| EVNA | −2.744 | 260.011 | 0.006 * | −0.13103 | 0.04776 | −0.22507 | −0.03699 | |||
| Income of family | EVA | 120.096 | 0.000 | 4.894 | 433 | 0.00 | 0.234 | 0.048 | 0.140 | 0.329 |
| EVNA | 5.213 | 341.177 | 0.000 * | 0.234 | 0.045 | 0.146 | 0.323 | |||
| Place of food cooking | EVA | 17.050 | 0.000 | −2.817 | 433 | 0.005 | −0.138 | 0.049 | −0.234 | −0.042 |
| EVNA | −2.761 | 273.156 | 0.006 * | −0.138 | 0.050 | −0.236 | −0.040 | |||
| Child location during cooking | EVA | 4.536 | 0.034 | −1.186 | 433 | 0.236 | −0.059 | 0.049 | −0.156 | 0.039 |
| EVNA | −1.174 | 280.903 | 0.241 | −0.059 | 0.050 | −0.157 | 0.040 | |||
| Separation of kitchen from main house | EVA | 51.024 | 0.000 | −4.309 | 433 | 0.000 | −0.214 | 0.050 | −0.311 | −0.116 |
| EVNA | −4.427 | 309.917 | 0.000 * | −0.214 | 0.048 | −0.309 | −0.119 | |||
| Presence of windows in the house | EVA | 40.485 | 0.000 | 3.662 | 433 | 0.000* | 0.183 | 0.050 | 0.085 | 0.281 |
| EVNA | 3.741 | 305.132 | 0.000 | 0.183 | 0.049 | 0.087 | 0.279 | |||
| MUAC of children | EVA | 4.135 | 0.043 | 2.665 | 433 | 0.008 | 0.45221 | 0.16970 | 0.11867 | 0.78574 |
| EVNA | 2.539 | 254.117 | 0.012 * | 0.45221 | 0.17809 | 0.10149 | 0.80292 | |||
| History of ARTI | EVA | 30.801 | 0.000 | −2.895 | 433 | 0.004 | −0.114 | 0.039 | −0.191 | −0.037 |
| EVNA | −2.697 | 240.282 | 0.007 * | −0.114 | 0.042 | −0.197 | −0.031 | |||
Note: Bold numbers are statistically significant.
Abbreviations: EVA, equal variance assumed; EVNA, equal variance not assumed; LRTI, acute respiratory tract infection; MUAC, mid upper arm circumference.
The variable is significantly different between cases and controls.
3.5. Determinants of pneumonia in under‐five children
In bivariate analysis, place of residence (COR = 2.654, 95% CI, 1.145–5.548), household income ≥1500 Ethiopian birr (COR = 1.639, 95% CI, 1.001–3.759), child location during cooking (COR = 0.560, 95% CI, 0.373–0.842), no formal education of the mother (COR = 2.270, 95% CI, 1.284–8.568), family history of smoking (COR = 2.476, 95% CI, 1.587–5.786), presence of diarrhea in last 12 weeks (COR = 6.564, 95% CI, 3.975–10.865), and history of URTI in the family in last 2 weeks (COR = 3.354, 95% CI, 2.543–5.764) were associated with pneumonia. In multivariable logistic regression, household income ≥1500 Ethiopian birr (AOR = 0.45, 95% CI, 0.017–0.120, p < 0.000) when compared with monthly income below 1500 Ethiopian birr, child location outside of cooking house during cooking (AOR = 0.101, 95% CI, 0.43–0.238, p < 0.000) when compared to carrying in back or putting besides caring mother were protective factors against pneumonia, while no formal education of the mother (AOR = 2.398, 95% CI, 1.082–5.316, p < 0.031) when compared to college and above and a history of URTI in the family in the last 2 weeks (AOR = 2.183, 95% CI, 1.684–5.273, P < 0.049) when compared to no history of URTI are risk factors for pneumonia (Table 5).
TABLE 5.
Bivariate and multivariable logistic regression model for determinants of children pneumonia among age 2–59 months of age in selected health facilities at Aleta Wondo Woreda Sidama Region, Ethiopia, 2022.
| Variables | Cases, n (%) | Controls, n (%) | COR (95% CI) | AOR | 95% CI | P value | |
|---|---|---|---|---|---|---|---|
| Residence | Rural | 87 | 192 | 2.654 (1.145–5.548)* | 0.695 | 0.438–1.102 | 0.122 |
| Urban | 58 | 98 | 1 | 1 | |||
| Household monthly income | <1500 | 70 | 129 | 1 | 1 | ||
| ≥1500 | 75 | 161 | 1.639 (1.001–3.759)* | 0.045 | 0.017–0.120 | 0.000 * | |
| Child location during cooking | Outside of the cooking house | 84 (57.9) | 185 (63.8) | 0.560 (0.373–0.842)* | 0.101 | 0.043–0.238 | 0.000 * |
| Back or beside caring mother | 61 (42.1) | 105 (36.2) | 1 | ||||
| Education status of the mother | No formal education | 10 | 16 | 2.270 (1.284–8.568)* | 2.398 | 1.082–5.316 | 0.031 * |
| Primary school completed | 21 | 40 | 1.364 (0.684–4.762)* | 2.799 | 0.885–8.851 | 0.080 | |
| Secondary | 65 | 107 | 1.263 (0.124–9.465)* | 1.462 | 0.617–3.464 | 0.388 | |
| College and above | 11 | 68 | 1 | 1 | |||
| Family history of smoking cigarette | Yes | 7 | 18 | 2.476 (1.587–5.786) | 0.542 | 0.197–1.488 | 0.234 |
| No | 138 | 272 | 1 | 1 | |||
| Diarrhea within the last 2 weeks | Yes | 60 | 128 | 6.564 (3.975–10.865)* | 1.092 | 0.681–1.753 | 0.714 |
| No | 85 | 162 | 1 | 1 | |||
| History of family ARTI within 2 weeks | Yes | 38 | 78 | 3.354 (2.543–5.764)* | 2.183 | 1.684–5.273 | 0.049 |
| No | 107 | 212 | 1 | 1 | |||
Note: Bold numbers are statistically significant.
Abbreviations: AOR, adjusted odds ratio; COR, crude odds ratio.
Statistically significant at p < 0.05.
4. DISCUSSION
This unmatched case–control aimed to identify determinants of community‐acquired pneumonia among under‐five children in the selected health facilities at Aleta Wondo Woreda Sidama region southern Ethiopia. Based on our primary assessment, the proportion of pneumonia‐related health facility visits in the last 6 months during the study period was 923 (29.467% ± 1.9, SD). This is in line with a systematic review and meta‐analysis conducted among under‐five children in East Africa involving 34 studies that showed the pooled prevalence of pneumonia in East Africa was 34%. 5 However, the finding is higher than studies conducted among 560 systematically selected under‐five children in Dessie City, 17.1%, 8 and prevalence and associated risk factors of pneumonia in under‐five children in Gondar Referral Hospital, 18.5%. 25 The difference could be explained by the geographical variation of study areas. A spatial and multilevel analysis of common childhood illnesses and their associated factors among under‐five children in Ethiopia showed significant variation among geographical regions with common childhood illnesses. 26
4.1. Determinants of pneumonia in under‐five children
Children from families with household income ≥ 1500 Ethiopian birr 54% less (AOR = 0.45, 95% CI, 0.017–0.120, p < 0.000) are less likely to develop pneumonia when compared with families with monthly income below 1500 Ethiopian birr. This is supported by evidence from a case–control study conducted at Adama Hospital Medical College that showed children from households with low monthly incomes were more likely to develop pneumonia. 27 Another study among under‐five children in Ethiopia also showed that poverty is significantly associated with common childhood illnesses. 26
Child location outside of the cooking house during cooking is a protective factor against pneumonia. Children placed outside, or in separate rooms during cooking were 90% less likely (AOR = 0.101, 95% CI, 0.43–0.238, p < 0.000) to develop pneumonia when compared to children carried in the back of their mother or placed beside a caring mother. This is supported by evidence from other studies, children sleeping in place same room as cooking food were experiencing pneumonia more likely than those children sleeping in a separate room, 20 a systematic review and meta‐analysis conducted among under‐five children in East Africa involving 34 studies showed that use of wood as a fuel source, cook food in the living room, caring of a child on mother during cooking, 5 another cross‐sectional study conducted in Northwest Ethiopia showed that the prevalence of childhood lower acute respiratory infection lower among children living in homes with chimney, eaves space, and improved cook‐stove and increased with cow dung fuel use, and child spending time near stove during cooking. 28 An unmatched case–control study conducted in Worabe town showed that the absence of a chimney in the cooking room was positively associated with pneumonia. 29 Another case–control study conducted in Wolaita‐Sodo Ethiopia showed that unclean fuel users for cooking, poorly ventilated houses, and carrying of a child while cooking were risk factors of acute respiratory infection in under‐five children. 30 This can be explained by the exposure to indoor air pollution that makes the children susceptible to pneumonia attack, so the study result shows that children from families sleeping in the same cooking room of food may increase the risk of developing the attack of pneumonia.
Maternal education is protective against under‐five pneumonia; children of mothers with no formal education were 2.4 times (AOR = 2.398, 95% CI, 1.082–5.316, p < 0.031) more likely to develop pneumonia than children with educated mothers who attended college and above. This is in line with evidence from a similar study conducted at Gondar University Hospital that showed an increased odds of pneumonia was associated with poor maternal education. 20 In addition to this, maternal education could affect other risk factors for pneumonia, like the nutritional status, smoking status of the mothers, and economic status of households. 12 , 31 , 32 Findings from the 2016 Ethiopian demographic health survey also showed that mothers' secondary school education is associated with a lower risk of under‐five acute respiratory infections. 33 Another study also revealed result under‐five children's pneumonia attacks are more likely related to those illiterate mothers than educated mothers. 34 Therefore, empowering mothers through education in the study area will reduce the burden of pneumonia in under five children.
In addition to this, children having a family member with a history of URTIs in the last 2 weeks was 2.1 times more (AOR = 2.183, 95% CI, 1.684–5.273, P < 0.049) to develop pneumonia when compared to no history of URTIs. This result is supported by a study from Urban Areas of the Oromia Zone, Amhara Region, and the WHO. 2 A case–control study conducted among under‐five children at Debre Markos referral hospital showed that having a family member with URTI in the last 2 weeks was a risk for pneumonia. 35 Another population‐based analysis among 475 000 Children from 30 Low‐ and Middle‐Income Countries showed that using wood for cooking is associated with increased odds of URTI when compared to using charcoal. 36 This further strengthens the association between pneumonia in under‐five and indoor air pollution.
4.2. Limitations of the study
The findings of this study should be applied in light of its limitations. The small observation in certain categories may reduce the precision of the study. The second limitation is being an institution‐based case–control study that can limit generalizability.
5. CONCLUSION
The burden of pneumonia among under‐five children in the study area was high (pneumonia accounted for one‐third of health facility visits). Household income ≥1500 Ethiopian birr, child location outside of the cooking house during cooking were protective factors against childhood pneumonia, whereas no formal education of the mother and the presence of a history of URTI in the family in the last 2 weeks were risk factors associated with pneumonia in under five children. Therefore, all health institutions should promote early treatments and prevention of acute lower respiratory infections of children in the health facility and at the household level. Providing health education about household cooking conditions and empowering mothers economically and educationally is important to reduce the current burden of pneumonia in under five children. In addition to this, researchers should conduct multicenter studies with a better methodology to elucidate the causal link between pneumonia and socioeconomic and environmental factors.
AUTHOR CONTRIBUTIONS
Tsegaye Alemu, Berihun Ayele, and Mende Mensa Sorato contributed in the conception, study design, data collection at the hospital, data analysis, and interpretation. Tsegaye Alemu and Mende Mensa Sorato edited the manuscript and critically reviewed the manuscript. All authors read and approved the manuscript before submission.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
ETHICS STATEMENT
Ethical clearance was obtained from the Institutional Review Board of the Pharma College from the public health department post‐graduate program. A formal letter of cooperation was written to Sidama Region Health Bureau. All authors read the full version of this manuscript and agreed to publish.
ACKNOWLEDGMENTS
We would like to extend our gratitude to the health facilities staff that had taken part in the data collection process in this research. Also, we would like to thank all study participants who took part in the data collection. Moreover, we would like to acknowledge the regional health bureau and district health office who had provided permission to conduct this research in their health facilities.
Alemu T, Ayele B, Sorato MM. Determinants of under‐five pneumonia in randomly selected health facilities at Aleta Wondo Woreda, Sidama Region Ethiopia: Case–control study. Clin Respir J. 2024;18(1):e13725. doi: 10.1111/crj.13725
Funding information The authors cover the research work by themselves.
DATA AVAILABILITY STATEMENT
All the data reported in the manuscript are publicly available at the official request of the principal investigator upon acceptance of the manuscript.
REFERENCES
- 1. UNICEF . Monitoring the situation of children Multiple Indicator Cluster Surveys (MICS) Child Health Pneumonia; 2017.
- 2. Dadi A, Kebede Y, Mengesha Z. Determinants of pneumonia in children aged two months to five years in urban areas of Oromia zone, Amhara region. Ethiopia OALib. 2014;01(08):1‐10. doi: 10.4236/oalib.1101044 [DOI] [Google Scholar]
- 3. UfE child . Childhood pneumonia: everything you need to know 2022. Available from: https://www.unicef.org/stories/childhood-pneumonia-explained
- 4. Izadnegahdar R, Cohen AL, Klugman KP, Qazi SA. Childhood pneumonia in developing countries. Lancet Respir Med. 2013;1(7):574‐584. doi: 10.1016/S2213-2600(13)70075-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Beletew B, Bimerew M, Mengesha A, Wudu M, Azmeraw M. Prevalence of pneumonia and its associated factors among under‐five children in East Africa: a systematic review and meta‐analysis. BMC Pediatr. 2020;20(1):254. doi: 10.1186/s12887-020-02083-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. McAllister DA, Liu L, Shi T, et al. Global, regional, and national estimates of pneumonia morbidity and mortality in children younger than 5 years between 2000 and 2015: a systematic analysis. Lancet Glob Health. 2019;7(1):e47‐e57. doi: 10.1016/S2214-109X(18)30408-X [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Gedif S. Prevalence and risk factors of pneumonia among under‐five children attending Dangila Primary Hospital, northwest Ethiopia. 2020.
- 8. Keleb A, Sisay T, Alemu K, et al. Pneumonia remains a leading public health problem among under‐five children in peri‐urban areas of north‐eastern Ethiopia. PLoS ONE. 2020;15(9):e0235818. doi: 10.1371/journal.pone.0235818 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Ethiopia MoHFRo . Introducing Pneumococcal Conjugate Vaccine in Ethiopia: Training Manual for Health Workers. Addis Ababa Ethiopia; 2011. [Google Scholar]
- 10. Abuka T. Prevalence of pneumonia and factors associated among children 2–59 months old in Wondo Genet district, Sidama zone, SNNPR, Ethiopia. Curr Pediatr Res. 2017;21(1):19‐25. [Google Scholar]
- 11. Chang J, Liu W, Huang C. Residential ambient traffic in relation to childhood pneumonia among urban children in Shandong, China: a cross‐sectional study. Int J Environ Res Public Health. 2018;15(6):1076. doi: 10.3390/ijerph15061076 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Bazie GW, Seid N, Admassu B. Determinants of community acquired pneumonia among 2 to 59 months of age children in Northeast Ethiopia: a case‐control study. Pneumonia. 2020;12(1):14. doi: 10.1186/s41479-020-00077-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Nguyen TK, Tran TH, Roberts CL, Fox GJ, Graham SM, Marais BJ. Risk factors for child pneumonia ‐ focus on the Western Pacific Region. Paediatr Respir Rev. 2017;21:95‐101. doi: 10.1016/j.prrv.2016.07.002 [DOI] [PubMed] [Google Scholar]
- 14. Nirmolia N, Mahanta TG, Boruah M, Rasaily R, Kotoky RP, Bora R. Prevalence and risk factors of pneumonia in under five children living in slums of Dibrugarh town. Clin Epidemiolo Global Health. 2017;6(1):1‐4. doi: 10.1016/j.cegh.2017.07.004 [DOI] [Google Scholar]
- 15. Onyango D, Kikuvi G, Amukoye E, Omolo J. Risk factors of severe pneumonia among children aged 2‐59 months in western Kenya: a case control study. Pan Afr Med J. 2012;13:45. [PMC free article] [PubMed] [Google Scholar]
- 16. Jambo A, Gashaw T, Mohammed AS, Edessa D. Treatment outcomes and its associated factors among pneumonia patients admitted to public hospitals in Harar, eastern Ethiopia: a retrospective follow‐up study. BMJ Open. 2023;13(2):e065071. doi: 10.1136/bmjopen-2022-065071 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Li Y, An Z, Yin D, et al. Disease burden of community acquired pneumonia among children under 5 y old in China: a population based survey. Hum Vaccin Immunother. 2017;13(7):1681‐1687. doi: 10.1080/21645515.2017.1304335 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Verguet S, Memirie ST, Norheim OF. Assessing the burden of medical impoverishment by cause: a systematic breakdown by disease in Ethiopia. BMC Med. 2016;14(1):1‐11. doi: 10.1186/s12916-016-0697-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. World Health Organization . Handbook : IMCI Integrated Management of Childhood Illness. World Health Organization; 2005. [Google Scholar]
- 20. Markos Y, Dadi AF, Demisse AG, Ayanaw Habitu Y, Derseh BT, Debalkie G. Determinants of under‐five pneumonia at Gondar University Hospital, Northwest Ethiopia: an unmatched case‐control study. J Environ Public Health. 2019;2019:9790216. doi: 10.1155/2019/9790216 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. AWWDH Office . Aleta wondo woreda Health Managment information system (HMIS) report. 2022.
- 22. Iannotti L, Cunningham K, Ruel M. Improving diet quality and micronutrient nutrition: homestead food production in Bangladesh. Intl Food Policy Res Inst; 2009. [Google Scholar]
- 23. Duggan M. Anthropometry as a tool for measuring malnutrition: impact of the new WHO growth standards and reference. Ann Trop Paediatr. 2010;30(1):1‐17. doi: 10.1179/146532810X12637745451834 [DOI] [PubMed] [Google Scholar]
- 24. Zimmerman DW. Teacher's corner: a note on interpretation of the paired‐samples t test. J Educ Behav Stat. 1997;22(3):349‐360. doi: 10.3102/10769986022003349 [DOI] [Google Scholar]
- 25. Chekole DM, Andargie AA, MohammedYesuf K, Wale Mekonen M, Misganaw Geremew B, Fetene MZ. Prevalence and associated risk factors of pneumonia in under five years children using the data of the University of Gondar Referral Hospital. Cogent Public Health. 2022;9(1):2029245. doi: 10.1080/2331205X.2022.2029245 [DOI] [Google Scholar]
- 26. Chilot D, Diress M, Yismaw Gela Y, et al. Geographical variation of common childhood illness and its associated factors among under‐five children in Ethiopia: spatial and multilevel analysis. Sci Rep. 2023;13(1):868. doi: 10.1038/s41598-023-27728-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Abebaw TA, Aregay WK, Ashami MT. Risk factors for childhood pneumonia at Adama Hospital Medical College, Adama, Ethiopia: a case‐control study. Pneumonia (Nathan Qld). 2022;14(1):9. doi: 10.1186/s41479-022-00102-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Adane MM, Alene GD, Mereta ST, Wanyonyi KL. Prevalence and risk factors of acute lower respiratory infection among children living in biomass fuel using households: a community‐based cross‐sectional study in Northwest Ethiopia. BMC Public Health. 2020;20(1):363. doi: 10.1186/s12889-020-08515-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Seramo RK, Awol SM, Wabe YA, Ali MM. Determinants of pneumonia among children attending public health facilities in Worabe town. Sci Rep. 2022;12(1):6175. doi: 10.1038/s41598-022-10194-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Admasie A, Kumie A, Worku A. Children under five from houses of unclean fuel sources and poorly ventilated houses have higher odds of suffering from acute respiratory infection in Wolaita‐Sodo, southern Ethiopia: a case‐control study. J Environ Public Health. 2018;2018:9320603. doi: 10.1155/2018/9320603 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Dharel S, Shrestha B, Basel P. Factors associated with childhood pneumonia and care seeking practices in Nepal: further analysis of 2019 Nepal Multiple Indicator Cluster Survey. BMC Public Health. 2023;23(1):264. doi: 10.1186/s12889-022-14839-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Kiconco G, Turyasiima M, Ndamira A, et al. Prevalence and associated factors of pneumonia among under‐fives with acute respiratory symptoms: a cross sectional study at a teaching hospital in Bushenyi District, Western Uganda. Afr Health Sci. 2021;21(4):1701‐1710. doi: 10.4314/ahs.v21i4.25 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Amsalu ET, Akalu TY, Gelaye KA. Spatial distribution and determinants of acute respiratory infection among under‐five children in Ethiopia: Ethiopian Demographic Health Survey 2016. PLoS ONE. 2019;14(4):e0215572. doi: 10.1371/journal.pone.0215572 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Jackson S, Mathews KH, Pulanic D, et al. Risk factors for severe acute lower respiratory infections in children: a systematic review and meta‐analysis. Croat Med J. 2013;54(2):110‐121. doi: 10.3325/cmj.2013.54.110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Getaneh S, Alem G, Meseret M, et al. Determinants of pneumonia among 2‐59 months old children at Debre Markos referral hospital, Northwest Ethiopia: a case‐control study. BMC Pulm Med. 2019;19(1):147. doi: 10.1186/s12890-019-0908-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Woolley KE, Bartington SE, Kabera T, et al. Comparison of respiratory health impacts associated with wood and charcoal biomass fuels: a population‐based analysis of 475,000 children from 30 low‐ and middle‐income countries. Int J Environ Res Public Health. 2021;18(17):9305. doi: 10.3390/ijerph18179305 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All the data reported in the manuscript are publicly available at the official request of the principal investigator upon acceptance of the manuscript.
