Current Pediatric Research

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Case Report - Current Pediatric Research (2017) Volume 21, Issue 4

Determinants of pneumonia among under two children in southern Ethiopia: A case control study 2016.

Yinager Workineh1*, Desta Hailu1, Teklemariam Gultie2

1Department of Nursing, College of Medicine and Health science, Arba Minch University, Ethiopia.

2Department of Midwifery, College of Medicine and Health science, Arba Minch University, Ethiopia.

*Corresponding Author:
Yinager Workineh
Department of Nursing, College of Medicine and Health Science
Arba Minch University, Ethiopia.

Accepted date: November 23rd, 2017

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Introduction: Pneumonia is world’s leading killer of children in developing countries particularly in sub Saharan Africa and Asia. It accounts for the death of one out of five children despite presence of tremendous prevention mechanisms. Despite the sever effects of pneumonia, there were no studies done on determinants of pneumonia so far in Gamo Gofa Zone. Therefore the aim of this study was to assess determinants of pneumonia among under two children. Methods: Facility based unmatched case control study was used on randomly selected 558 mothers with under two children from 30thJanuary to 20th March 2016. Cases were children with pneumonia, while controls were non-pneumonic children of the same age. A pretested &structured questionnaire was used. Multivariable logistic regression was employed to determine predictors of the outcome variable using SPSS version 20.0 statistical software. P-value<0.05 at 95% confidence interval was considered as significant. Results: A total of 558 mothers with under two children were participated. Ninety seven (17.4%), 245 (43.9%) and 119 (21.3%) of children were underweight, wasted and stunted respectively. Being married, completing secondary school and above, children without young siblings breastfeeding within an hour of delivery, being vaccinated, and exclusive breastfeeding were protective against pneumonia as statistically evidenced by (AOR: 0.053, 95% CI: [0.005, 0.559], (AOR: 0.253, 95% CI: [0.093, 0.688]), (AOR: 0.225, 95%CI: [0.067, 0.760]), (AOR: 0. 311, 95% CI: [0.135, 0.718]), (AOR: 0.317, 95% CI: [0.185, 0.542) and (AOR: 0.635, 95% CI: (0.356, 0.934]) respectively. Conclusion: Being married, completing secondary school and above, children with young siblings, breastfeeding within one hour of delivery, children with history of vaccination and exclusive breastfeeding were protective of pneumonia. Hence, study concludes that many factors were interwoven to affect the occurrence of pneumonia. Therefore, information communication education has to be disseminated to alleviate modifiable factors of pneumonia.


Pneumonia, Under two children, Determinants, Case control.


OPD: Out-Patient Department, IMNCI: Integrated Management of Newborn and Child illness, IgG: Immuno-globulin G, IgM: Immuno globulin M, EPI: Expanded Program of Immunization, AOR: Adjust Odd Ratio, SD: Standard Deviation, CI: Confidence Interval


Pneumonia is treatable and preventable disease. However delays in recognizing pneumonia contribute to the death of 1.1 million children under the age of five every year. Pneumonia contributed to18% of all deaths of under five children worldwide [1]. Pneumonia is a major cause of global morbidity with an estimated 156 million episodes and 14.9 million hospitalizations per year [1,2].

World Health Organization and United Nation Child Fund jointly implemented Global Action Plan for Prevention. Even these strategies were initiated, there is unfairly large disparities between countries in exclusive breastfeeding, zinc supplementation, indoor air pollution, vaccination against Hemophilus influenza b, pneumococcus, measles and pertussis, preventing mother-to-child transmission of Human Immune Virus, and promoting regular hand washing [3,4].

The child mortality due to pneumonia in least developing, developing and industrialized countries is 545,000(39%), 1,390,000 (>99%) and 2,000 (<1%), respectively [5]. Its prevalence in sub-Saharan Africa countries alone is 46 % [5]. In Ethiopia, one of Sub-Saharan African countries, the infant and under five mortalities are 59/1000 and 88/1000 live births, respectively [6]. Of these deaths, 21% of the deaths are caused by pneumonia even if The Global Alliance for Vaccines and Immunization has raised funding to purchase the children immunization program [5,7]. It´s impact may be increased in the case of early onset, prematurity or an underlying pulmonary condition like Respiratory Distress Syndrome, meconium aspiration or broncho-pulmonary dysplasia, when the pulmonary capacity is already limited [8,9].

Poverty (low socio-economic status), poor immunization status, indoor air pollution, overcrowding, malnutrition/ poor nutritional practices, low birth weight, non-exclusive breastfeeding, parental smoking, zinc deficiency, lack of education in the mother, vitamin A deficiency, birth order and outdoor air pollution are the major risk factors for child pneumonia in developing countries [10-16]. Predisposing factors for the above problems in least developing countries are presence of war, conflict, population displacement, natural disasters or economic crisis [17].

Furthermore, lack of rapid diagnostic testing and limited data on antibiotic use for suspected childhood pneumonia plays a major role in the continual presence of pneumococcal pneumonia disease in developing countries. In this regard less than a third of children with suspected pneumonia received antibiotics in sub-Saharan Africa and South Asia [18]. World Health Organization designed the fourth Millennium Development Goal to reduce child mortality by two-thirds between 1990 and 2016, but pneumonia is still world’s leading killer of children under the age of five. Of these, nearly three fourth of deaths occur in sub-Saharan Africa and South Asia [18,19]. Even if pneumonia took life of one child every 23 seconds, until recently, pneumonia has received little attention [19].

Ethiopian government introduced Pneumococcal conjugate vaccine in 2011 and rotavirus in 2013 to prevent pneumonia [7]. In addition to these the government create strong political will, organized capacity building efforts and prioritized funding for immunization programs to reduce infant mortality and morbidity in each corner of the countries, but as a result of large populations, health disparities in vulnerable subgroups, including girls, rural dwelling children, and poor communities there were discrepancies across the region within Ethiopia [17]. Despite the above burden of pneumonia, there was no study done before on determinants of pneumonia among under two children in Southern Ethiopia in general in Gamo Gofa Zone in particular. This study is, therefore, aimed at assessing the determinants of pneumonia in under two years’ old children in Gamo Gofa Zone, Southern Ethiopia.


Study Setting, Design and Period

This facility based case control study was conducted in Gamo Gofa Zone from January 30 to 20 March, 2016. The name for Gamo Gofa is given for the Gamo and Gofa peoples whose homelands lie in this area and the administrative center of Gamo Gofa is Arba Minch. According to the 2007 census, it has a population of 1,595,570. Of the total population, 801,085 were females. There are a total of three hospitals and 68 health centers. Cases were under two years’ old children who have pneumonia as confirmed by Integrated Management of Newborn and Child illness diagnosis guideline, and controls were non-pneumonic under two years old children. Children with any comorbidity were excluded from the study

Sample Size Determination and Sampling Technique

The sample size was calculated using Epi-Info version 3.5.1 statistical software package by considering major determinants’ of pneumonia from previous research, 95% confident interval (CI), 80% power of the study and case to control ratio of 1:2 [20]. Considering non-response rate of 10% the maximum sample size was 186 pneumonic case and 372 control with total of 558 participants.

In Gamo Gofa zone, there are 68 health centres and 12 of them were selected by using simple random sampling techniques. Based on the number of clients/patients who visited each health centre during the previous one year, the total sample size was proportionally allocated to each selected health centres. Screening for pneumonia in pediatrics outpatient department (OPD) and emergency department was performed based on the Integrated Management of Newborn and Child Illness (IMNCI) guideline. Controls were selected from Growth monitoring and expanded program of immunization (EPI) units. Finally, interviewing of the mothers was carried out in each selected department/ units as case or control using systematic sampling methods by considering the 1st comers as starting point, and then every other at exit time.

Data Collection Techniques

After reviewing of the relevant literature, the questionnaire was developed as appropriate to address the study objectives. Primarily the questionnaires were prepared in English and translated to local language (Amharic) and the Amharic version was used for interview. Data collectors categorized in to examiners and data collectors. Measuring of height and weight of children as well as diagnosis of cases were carried out by assigned 12 health professionals in under five OPD and emergency ward. Height and weight of children for controls were measured by health professionals in EPI and Growth monitoring units. Finally, twenty four data collectors, who were diploma holders, know the local language, and resident of the study were selected to interview the mothers at the exit time from 30th January to 20th March 2016.

Data Quality Assurance

Questionnaire was prepared in English and translated to Amharic, and re translated back to English to make sure the consistency of the questionnaire. Pre-test of the tool was performed outside the study area to readjust the questionnaire. Intensive training for data collectors was given for two days. Continues supervision of data collection process was carried out to assure the quality of data. Finally, the collected data was carefully checked on daily basis for completeness, outlier and missing value as well as consistencies.

Data Analysis

The collected data were cleaned, coded and entered into Epi-info version 3.5.1 statistical software package. The statistical analysis was done using SPSS version 20. Frequency distribution for selected variables was performed. The statistical significance and strength of the association between independent variables and an outcome variable was measured by bivariate logistic regression model. A variable P value less than 0.25 was transferred to multivariable logistic regression model to adjust confounders’ effects and a p value less than 0.05 was considered as significantly associated in this model. Finally, the results of the study were presented using tables, figures and texts based on the data obtained.

Ethical Clearance

The study was approved by the Scientific Ethical Review Committee of Arbaminch University, and Gamo Gofa zone health office. Informed assent was obtained from mothers after detailed explanation of the purpose of the study. Any involvement of the mothers was after their complete consent. Mothers were told as they would have the right to withdraw from the study at any time during the interview.


Socio-Demographic Characteristics

A total of 558 women with 186 under two year’s pneumonic children and 372 non-pneumonic children were interviewed in this study. From these, 33 (5.9%) of the respondents were in the age range of 15-19 years. Regarding their educational status, 158 (28.3%) of the participants were non-educated. Three hundred fifty four (63.4%) participants were house wives. In relation to the wealth index of the respondents, 118 (21.14%) were in the lowest wealth quintiles, and only 100 (17.9%) of the respondents were the higher quintiles (Table 1).

Variables Frequency  Percent
Maternal age 15-19 years 33 5.9
20-24 years 113 20.3
25-29 years 198 35.5
30-34 years 139 24.9
Above 35 years 75 13.4
Maternal religion Protestant 304 54.5
Orthodox 218 39.1
Muslim 27 4.8
Catholic 9 1.6
Marital status Married 532 95.3
Not married 26 4.7
Maternal educational status Non Educated 158 28.3
Read and write 54 9.7
Grade 1-6 111 19.9
Grade 7-8 82 14.7
Grade9-12 79 14.2
above 12 74 13.3
Maternal occupational status Housewife 354 63.4
Farmer 53 9.5
Government employee’s 59 10.6
Merchants 68 12.2
Private gainful work 24 4.3
Family size Below three 160 28.7
3-5 335 60.0
Above 5 63 11.3
Residence Urban 271 48.6
Rural 287 51.4
Wealth index Lowest 118 21.14
Second 125 22.40
Middle 99 17.74
Fourth 116 20.78
Highest 100 17.92

Table 1. Socio-demographic profile of the respondents in Gamo Gofa zone, 2016 (n=558)

Anthropometry Measurement of Children

In relation to children’s socio-demographic profile, 253 (45.4%) were less than 6 months of age with the mean age and weight of 8.29 month (SD 5.94) and 7.32 kg (SD 2.00) respectively, and 306 (54.8%) were male. Regarding to the nutritional indicators 97 (17.4%), 245 (43.9%) and 119(21.3%) of children were underweight, wasted and stunted as measured by weight for age, height for age and weight for height respectively (Table 2).

Variables  Frequency  Percent
Age of child Below six month 253 45.4
6-12 month 205 36.7
12-24 month 100 17.9
Weight of the child Below 8 kg 403 72.2
8 and above 8 kg 155 27.8
Sex of child Male 306 54.8
Female 252 45.2
Weight for age Normal 461 82.6
Underweight 97 17.4
Height for age Wasted 245 43.9
Normal 313 56.1
Weight for height Stunted 119 21.3
Normal 439 78.7
Number pregnancy Below three 430 77.1
3-5 100 17.9
Above 5 28 5.0
Number of Abortion No 553 99.1
One and above 5 0.9
Number of still birth No 550 98.6
One and above 8 1.4
Number of live birth One 333 59.7
Two and above 225 40.3
Birth status of the child Preterm 13 2.4
Term 532 95.3
Post term 13 2.3
Birth order of the child 1st 180 32.3
2nd 157 28.1
3rd 110 19.7
4th and above 111 19.9
Children with young siblings Yes 22 3.9
No 536 96.1

Table 2. Anthropometry measurement and obstetric history of the respondents, 2016 (n=558).

Obstetric History

Regarding their obstetric history, only 28 (5%) of the respondents got pregnant for five times. Five hundred fifty three (99.1%) and 550 (98.6%) respondents had no history of abortion and stillbirth respectively. Most of the respondents (95.3%) reported their child birth status was term. 176 (31.5%) children were 12-24 month less than their elder sibling. From total involved children, 22 (3.9%) of them had younger siblings (Table 2).

Health Services Utilization

All but sixty women said that they had visited antenatal clinics in hospital, health center, health post and private clinic during the last pregnancy. From these, 375 (67.2%) visited antenatal clinic more than four times. 89 (15.9%) of them delivered at home. Tetanus toxoid (TT) vaccination was given for 428 (76.7%) participants. In related to children health services utilization, 324 (58.1%) children utilized postnatal care. 496 (88.9%) children were vaccinated. However, 304 (54.5%) were partially vaccinated (Table 3).

Variables Frequency Percent
Antenatal care utilization Yes 498 89.2
No 60 10.8
Time of initiation antenatal care Within four month 349 62.5
After four month 149 37.5 26.7
Utilization of tetanus toxoid vaccine Yes 428 76.7
No 130 23.3
Utilization of post natal care Yes 324 58.1
No 234 41.9
Vitamin A supplementation Yes 217 38.9
No 341 61.1
Place of service utilization Health center 450 88.9
Hospital 82 16.2
Health post 90 17.9
Types of children’ diseases URTI 53 9.5
Diarrheal disease 71 12.7
Family history of smoking near to child    Yes 15 2.7
No 543 97.3
Average smoking of family per day          1-6 13 2.3
= 7  2 0.4
Has your child ever breastfed? Yes 534 95.7
No 24 4.3
Starting time for breast feeding after delivery Within 1 hour 442 79.2
After 1 hour 92 16.5
Give the child breast milk at any time Yes 491 88.0
No 43 7.7
Providing food before initiation of breast feeding Yes 38 6.8
No 520 93.2
Providing of food within three day Yes 27 4.8
No 531 95.2
Feeding by using bottle Yes 111 19.9
No 447 80.1
Start complementary feeding Yes 265 47.5
No 293 52.5
When the child started complementary feeding? Before 6 month 254 45.5
At 6 month and above 11 2.0
Initial Time of bathing after delivery Within 24 h 189 33.9
After 24 h 369 66.1

Table 3. Health services utilization and feeding practice of the respondents in Gamo Gofa, 2016 (n=558).

Children Feeding Practice

Almost all children 534 (95.7%) had history of breastfeeding and 442 (79.2%) of them initiated breastfeeding within 1 h of delivery. The level of exclusive breastfeeding (EBF) was 67.2%, but the duration is varied from below six month (62.4%) to above 12 months (1.3%). The level of partial breast feeding was 90 (16.1%). 38 (6.8%), 27 (4.8%) and 254 (45.5%) children were introduced to other foods before initiation of breast milk, within three days of delivery and within six months of age respectively. The level of complementary feeding introduction like cow milk, soup and adult food before six month and at 6 month and above was 45.5%) and 2%, respectively. 53 (9.5%) of children had history of formula feeding (Table 3).

Factors Associated with Child Pneumonia

In multivariable logistic regression analysis, marital status of the mother, educational status of the mother, children without young siblings, child vaccination, timing of breastfeeding initiation and types of breast feeding were significantly associated with risk of pneumonia among under two years old children.

Marital status of the mother was significantly associated with pneumonia in which being married is protective and decrease the development of pneumonia (AOR: 0.053, 95% CI: [0.005, 0.559]) than non-married women. Level of education also showed strong statistical association with pneumonia. Completing secondary school and above was protective for pneumonia (AOR: 0.253, 95% CI: [0.093, 0.688]) than non-educated women.

The odds of not delivering a baby after the surveyed children had less chance to develop pneumonia (AOR: 0.225, 95% CI: [0.067, 0.760]) than their counterparts. Child vaccination has also been an important predictor of pneumonia. Children who were vaccinated were less likely to develop pneumonia (AOR: 0. 311, 95% CI: [0.135, 0.718]) than non-vaccinated children.

The timing of first breastfeeding was significantly associated with pneumonia. Initiating of breast feeding within 1 h of delivery were protective for pneumonia (AOR: 0.317, 95% CI: [0.185, 0.542]) than starting after 1 h of delivery. The probability of getting pneumonia was significantly associated with types of breastfeeding. Children who got exclusive breastfeeding were (AOR: 0.635, 95% CI: (0.356, 0.934]) less likely to develop pneumonia than their counterparts (Table 4).

Variables Cases Controls COR (95% CI) AOR (95%CI)
Marital status Married 161 371 0.017 (0.002,0.129)*
0.053 (0.005, 0.559)*
0.053 (0.005, 0.559)* *
Not married 25  1 1
Maternal educational status Non Educated 74 84 1 1 1
Read and write 23 31 0.842(0. .452, 1.571) 0.842 (0.452, 1.571) 0.429 (0.168, 1.100)
Grade 1-6 37 74 0.568(0.343, 0.939)* 0.568 (0.343, 0.939)* 0.905 (0.479, 1.709)
Grade 7-8 20 62 0.366(0.202,0.663)* 0.366 (0.202,0.663)* 0.403 (0.177, 0.914)*
Grade9-12 22 57 0.438(0.245, 0.785)* 0.438 (0.245, 0.785)* 0.657 (0.290, 0.985)*
Above 12 10 64 0.177 (0.085, 0.370)* 0.177 (0.085, 0.370)** 0.253 (0.093,0.688)* *
Did you delivered little child Yes 14 7 1 1
No 172 365 0.236 (0.093, 0.594)* 0.225 (0.067, 0.760)*
Antenatal care utilization Yes 143       355 143       355 0.159 (0.088, 0.288)* 0.159 (0.088, 0.288)* 1.970 (0.340, 11.399) 1.970 (0.340, 11.399)
No 43         17 43         17 1 1 1 1
Vitamin A utilization Yes 59 0.629(0.434, 0.912)* 158 0.710(0.448, 1.127) 0.629 (0.434, 0.912)* 0.710 (0.448, 1.127)
No 127 214 214 214 1 1 1 1
When you start ante natal care? Within four month 84 265 265 1 1 1 1
After four month 60 89 89 2.127(1.413, 3.202) * 0.665(0.414, 1.069) 2.127 (1.413, 3.202) * 0.665 (0.414, 1.069)
Status of fetus during delivery Single 147 362 0.104(0.051, 0.214)* 362 0.104 (0.051, 0.214)* 0.416 (0.142, 1.218)
Twin 39  10 1 1
Did child vaccinated? Yes 141 355 0.150 (0.083, 0.271)* * 0. 311 (0.135, 0.718)*
No 45 17 1 1
Has your child ever breast feeding Yes 163 371 0.019 (0.003, 0.143) * 0.288 (0.032, 2.628)
No 23 1 1 1
When the child start breastfeeding Within 1 h 111 331 0.057 (0.007, 0.436) ** 0.317 (0.185,0.542)* *
After 1 h 52 40 1 1
Types of breast feeding EBF 89 286 0.026 (0.003, 0.024)** 0.026 (0.003, 0.024)* 0.635 (0.356, 0.934)* *
Predominant breast feeding 40 29 1.951 (0.198, 3.178) 1.951 (0.198, 3.178) 1.8829 (0.887,3.994)
Partial breast feeding 34 56 1 1

Table 4.Factors associated with Pneumonia among under two children in Gamo Gofa zone, 2016.


This facility based unmatched case-control study with the objective of the assessment of determinants of pneumonia among under two years old children was conducted in Gamo Gofa Zone public health centers, Southern Ethiopia.

Among the socio demographic factors, the key predictors for pneumonia among under two children in this study were educational and marital status of the respondents. Children born from women completing secondary school and above were less likely to acquire pneumonia as compared to those born to non-educated women. This finding is similar with the study conducted in Ethiopia, and Bangladesh [13,21]. This could be explained by the fact that education has a valuable input in enhancing child health care service utilization and help women develop greater confidence and capability to make decisions about their children’s health. Thus, literate women seek out higher quality health services and have greater ability to use health care inputs that offer better health outcomes for themselves and their children.

Marital status of the mother was significantly associated with pneumonia. The odds of acquiring pneumonia for children born to non-married women were higher as compared to their counter parts of children born to married women. The reason could be married couples could have the resource for children health from both father and mother dimensions, and it facilitate dynamic decision making in the family for children health services utilization. This contributes for the prevention of diseases like pneumonia at the family level in general for children in particular. Further, being married help to minimize economical risks. If one becomes unemployed, the other may have other assets and income to cover the expense for the family including foods and health care. In short, the benefits of marriage include social support during times of stress, which can protect health by reducing inflammation and increasing serotonin release to elevate moods, and encouragement to engage in healthy behaviors to the family as a whole to their children particularly. However, the study conducted in Ethiopia Shebedino district and Bangladesh indicated no statistical significant association between marital status and child pneumonia [13,21]. This may be explained by difference in knowledge and enabling environment. Therefore, those who have resources, however are not protected may not have knowledge and enabling environments to protect their children from pneumonia. But those who were protected like in this study may have knowledge and resource as well as enabling environments at a time for protection of pneumonia.

In descriptive analysis, 97 (17.4%), 245 (43.9%) and 119 (21.3%) of children were underweight, wasted and stunted respectively which showed significant level of malnutrion, but the analytical analysis showed no statistically significant association with pneumonia in this study. However, the study conducted in Ethiopia, Bangladesh, Southern Brazil and Brasilia [13,21-23] indicated that presence of malnutrition was significantly associated with pneumonia. This may be explained by difference in sample size. In this regard, the sample size was high in this study as compared with the above studies. The other responsible factor for this difference can be using of different screening criteria for pneumonia among under two years old children. Screening criteria for pneumonia in this study was Integrated Management of Newborn and child guide line, but pneumonia was diagnosed by using clinical presentation and X-ray in Bangladesh, Southern Brazil and Brasilia [21-23].

In general, children who are undernourished before age two are at high risk of diseases related to nutrition even if there was no statistically association in this study [24]. Many studies have found a strong association between under nutrition and child mortality [25]. Even mild degrees of malnutrition double the risk of mortality for respiratory and diarrheal disease mortality and malaria [26].

The other factor that protects child pneumonia was children without young siblings. Children without young siblings had less chance for contracting pneumonia than their counterparts. This result is in line with the study finding in from Southern Brazil and Brasilia [22,23]. This could contribute to a positive effect of optimal birth interval on child survival by reducing; behavioral effects associated with competition between siblings (e.g. competition for parental time or material resources among closely spaced siblings), the inability (or lack of desire) to give a child adequate attention if his or her birth came sooner than desired; and disease transmission among closely spaced siblings. Planning optimum interval between pregnancies increase the chance of good health outcome for the mother and their babies, two and half years to three years interval, limits risk of child death due to diseases like pneumonia.

Child vaccination has also been an important predictor of pneumonia. Vaccinated children were less likely to develop pneumonia as compared with non-vaccinated children vaccinated. This finding is similar with the result from Kenya, Gambia and India [27-29]. This association of pneumonia with children vaccination can be attributed to the fact that vaccinated children can develop immunity against the causes of pneumonia in addition to acquired immunity, and also, the antigen material from vaccine stimulates an individual immune system to develop adaptive immunity to the pathogen of pneumonia. Similarly, visiting health institution at the time of vaccination create greater opportunity to mothers to access information about the types, benefits and availabilities of children health care services.

Concerning to the timing of the first breast feeding, starting of breast feeding within 1 h of delivery found to be protective for pneumonia as compared with initiation of breast feeding after 1 h of delivery. This evidence is in line with similar study conducted in Ghana and Nepal [30,31]. This can be explained by the fact that providing of breast feeding immediately after delivery within 1 h is an important factor in growth and development of child by preventing different disease since the immediate breast milk contain colostrum which is rich in proteins and antibody that provide passive immunity to the baby.

The probability of pneumonia was highly associated with types of breast feeding. Children who were exclusively breastfed were less likely to develop pneumonia than mixed fed children. This finding was consistent with the findings from Bangladesh, Brazil Federal district, and United State of America [21,32-34]. This can be as a result of EBF contains carbohydrate, protein, fat, vitamin, mineral, digestive enzymes and hormones which are essential for growth and development of children. Breast milk also contains antibody or immunity like IgM and IgG and lymphocytes from the mother that help the baby resist infection like pneumonia.


The findings of this study indicated that some variables of socio demographic profiles, health services utilization like vaccination, and feeding practice were predictors of occurrences of pneumonia in under two year old children. In this regard children whose mothers completing high school and above, married, children without young siblings, children being vaccinated, initiation of breast feeding within 1 h of delivery and exclusive breastfeeding were protective from pneumonia in Gamo Gofa zone, Southern Ethiopia. It is recommended that early initiation, exclusive breast feeding and vaccination of children have to be given more emphasis to minimize the risk of pneumonia. Therefore, information has to be disseminated through different ways such as community health agents, health development army and mass media to promote the above protective factors.

Authors Contribution

YW had the primary responsibility in all steps of the study and supervised field work together with DH and TG. YW, DH and TG developed the study design and analysed data together. All authors were involved the writing of the manuscript and have approved the final version of the manuscript.


The authors are grateful to mothers of the children and health professionals who participated in the study. In addition, the authors would like to thank the head of each selected Health facility for their cooperation in undertaking research endeavors. The last but not the least we like to thank Getaneh Alemu (MSc) and Abinet Teshome (MSc) for their constructive comments in the manuscript grammar editing process.


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