Children who were vaccinated, breast fed and from low parity mothers live longer: A community based case-control study in Jimma, Ethiopia
© Girma and Berhane; licensee BioMed Central Ltd. 2011
Received: 16 August 2010
Accepted: 31 March 2011
Published: 31 March 2011
Improving child survival through various health interventions has been one of the main preoccupations of public health programs in developing nations. However, efforts to understand the child death determinants and determine whether the health interventions are really contributing to the reduction of mortality were not satisfactory. The purpose of this study is to identify determinants and causes of child mortality.
The study was conducted in the town of Jimma, Ethiopia, using a case control study design. Cases were identified through enumeration of all children and deaths prior to interview of the study subjects. Controls were under five children of the same age (+/-2 months) residing in the nearest household. Data was entered into EPI -info 6.4 software and analyzed using SPSS.
Seventy four cases and 222 controls were included in the study. The study found that children who never breast fed [OR = 13.74, 95%CI (3.34, 56.42]] and children with mothers having more than five children [OR = 3.34, 95%CI (1.27, 8.76)] were more likely to die than their counterparts. Vaccination reduced the risk of death [OR=.26, 95%CI (0.10, 0.67) significantly. Pneumonia was the most common immediate cause of death [29.7% (95% CI (19.66, 41.48)] followed by acute diarrhea and malaria each contributing for 23% [95%CI (13.99, 34.21)] of deaths.
Immunization, breastfeeding and low parity mothers were independently found to be protective from childhood death. Strengthening the child survival initiatives, namely universal child immunization, family planning and breast feeding -- is strongly recommended.
The estimate for global child deaths in 2000 was 10·8 million. About 41% of child deaths occur in sub-Saharan Africa Worldwide, half deaths in children younger than five years occur in only six countries and 90% in 42 .
Substantial reductions in child mortality occurred in low-income and middle-income countries in the late 20 th century . Rates of decline in global child mortality peaked in about 1980. In 1990-2001, the number of child deaths fell by 1·1% every year compared with 2·5% per year during 1960-90. Decrease in rate of decline has occurred in high-rate regions .
The conceptual framework for study of determinants of child survival includes proximate and distal (socioeconomic) determinants. This approach to the study of child survival is based on several premises . Many studies have shown that poor income, maternal education and illiterate fathers are risk factors for infant neonatal and child deaths [3–9].
Studies identified short birth interval, high birth order and young or older age at maternity as hazards of death of infants and children. Other studies also revealed no significant effects for some of the factors [8, 10, 11].
According to literatures infants aged 0-5 months who are not breastfed have seven-fold and five-fold increased risks of death from diarrhea and pneumonia respectively, and breast feeding predicts child mortality [1, 12].
Child survival interventions are not reaching the children who need them most. The inequities between poor and well to do are accompanied by reduction in access to preventive and curative service . Measles vaccine was received by two-thirds of children younger than 5 years, and all other interventions had coverage of less than 60%. Among Sub-Saharan African countries with endemic malaria, results of surveys showed that a median of less than 2% of children slept under an insecticide-treated net.
In countries with poor data on mortality, vital registration are weak and the proportion of people who died while under medical care is low. In such situations a verbal autopsy, a tool which uses ascertainment of causes of deaths from data obtained from relatives or associates of the deceased through retrospective questioning in surveys or in demographic surveillance systems seems an attractive options [14, 15].
The Ethiopian situation is also similar to that of Sub-Saharan Africa, characterized by a high child mortality rate. Ethiopia ranks 6th in the world by total number of deaths of under five children. Under five mortality in Ethiopia is high (123 per 1000 live births) which declined from 166/1000 live births Data from the Ethiopian Demographic Health Survey showed that mortality has declined in Ethiopia over the past 15 years and that this decline is more pronounced over the last 10 years. There is a declining trend infant and child mortality rate consistently over the past 15 years [4, 16, 17]..
Ethiopia is a country where low standard of living, poor environmental conditions and underdeveloped social services prevails. It is also characterized by absence of vital event registration system and inaccessibility of health facilities which forces deaths to occur at home. In addition to this, the studies were conducted a decade back and current public health challenges are not comprehensively addressed in the literature.
Understanding the epidemiological profile of child death and the capabilities of health systems and approaches in dealing with childhood health problems in a local context is essential to come up with public health interventions that are relevant. Development of these interventions also requires an understanding of the determinants of child survival.
Thus the purpose of this study is to identify determinants and causes of child mortality that would help in planning and implementing interventions to reduce under five deaths.
The study area is Jimma town, located 335 km from Addis Ababa. The projected population of Jimma in 2004 was about 120,000 . The town had 21 kebeles/the smallest administrative unit. The majority of the population is Oromo by ethnicity. The study was conducted from October 1,2004 to November 8, 2004.
The study utilized a case control design.
The source of the population was all under five children in Jimma who died in the previous one year.
Study population included all cases identified and their controls.
Cases were all identified deaths among under five children in one year prior to data collection. Controls were living under five children of the same age (+/-2 months) living in the nearest household with the case at the time of the survey.
The sample size was calculated using STATCALC program of EPI 6.04 Software. The minimum number of cases and controls required to achieve a 95% confidence level and power of 80% were calculated. Three controls were taken for each case.
A baseline survey was conducted to enumerate under five children and identify deaths during a one year period. For each identified case 3 controls were chosen from the next household. If two or more eligible controls were found in the same household the one closest to the age of the case was selected.
The questionnaire (Additional file 1) had five parts. The first part was used to list all under five deaths that occurred in one year period prior to data collection. The second part consisted sections on socio demographic and proximate factors of under five deaths. The third part had morbidity pattern questions for controls. The fourth part was a verbal autopsy tool for neonatal deaths. The final part was a tool to identify causes of death in the post neonatal period. The fourth and fifth were modified from WHO standard questionnaire. The modification was done to make the instrument relevant and applicable in the local context. The questionnaire was initially prepared in English, and translated into Amharic. The consistency was checked by back translation to English. The instrument was pilot tested.
Interviews had taken place with mothers or guardians of the selected child. The supervisors rechecked 5% of the study population and reviewed the completed questionnaire daily.
The main outcome variable was under five deaths. Explanatory variables were: socio-demographic variables (age of the child, sex, religion, ethnicity, and age of father, age of mother, educational status of father and mother and income) and proximate determinants of child survival which include reproductive health factors (age at first pregnancy, age at birth of the child, birth order, birth interval, antenatal care attendance, delivery attendance and family planning), environmental factors (presence of latrine, water source, and construction materials of the house), nutritional factors (breastfeeding pattern and practice) child factors (immunization, birth weight) and causes of death of a deceased child.
The data were edited then entered into EPI info 6.04 and SPSS version 11 software was used for data entry and analysis. Frequencies and cross tabulations were used to check consistency. Composite scales were constructed to represent a single construct.
Wealth scorewas a composite scale used to assess the economic status of the family. This index is believed to include elements of deprivation and income which gives reliable information about the level of poverty . Items included were income, presence of radio and television, and presence of latrine and water source. The sum was computed and those who scored above the median value were classified as having satisfied basic needs. Eight knowledgeitems were used to assess the knowledge of care takers. The sum was computed and those who scored more than the median value were labeled as having good knowledge.
Child health practices were assessed using four items, asking participants whether the care takers use preventive or curative service for the most common childhood problems. From these items those with scores greater than the median value were categorized as having good child health care practices.
The data were summarized using proportion, means and medians. Bivariate analysis was done to assess the level of association between independent variables and outcome variable. Odds ratios were computed to determine the strength of association. A 95% Confidence interval was used to estimate the level of significance. logistic regression was used to control the effect of confounding variables. Variables with a significant level of significance and from bivariate analysis were included in a backward stepwise logistic regression procedure. The variables included were: ethnicity, religion, fathers' age, floor materials of the house, parity, ever breast fed, vaccination status, and wealth index.
The cause of death was determined using expert algorithm . The expert algorithms were constructed to incorporate major diseases that are prevalent in the country. The causes of death were determined by using algorithms from other studies. The algorithm to classify HIV/AIDS cases were constructed using WHO clinical case definition for pediatric AIDS. The analysis tried to assess the contribution of HIV/AIDS and malnutrition to under five deaths as underlying cause of death. Multiple causes of death were entertained.
Ethical clearance was obtained from the Ethical Review Board of the Faculty of Medicine, Addis Ababa University. Informed consent was obtained from each participant after informing them about their right to withdraw from the process and refuse participation. They were also informed about the confidentiality of the information they provided. The interview was conducted after the mourning period of 40 days for all cases. If children found ill during the survey, study personnel advised their care takers to take them to the nearest health facility.
The total number of under five children from the baseline survey was 6711. Males account for 52% of the total population and females 48%. The total number of deaths was 74.
Socio demographic characteristics of the study participants and their care takers, Jimma town, Southwest Ethiopia, October-November 2004
Age of a child (months)
Satisfied basic needs
level of education(mother)
secondary and Tertiary
Level of education(father) (father
Second and Tertiary
Age category (mother)
Factors associated with child survival, Jimma town, South Western Ethiopia October-November 2004
Crude OR (95% CI)
5 and above
Ever breast fed
Satisfied basic needs
Breast milk was substituted for 80 (27%) of children at different age. Among these children 73.8% stop breast feeding before or at age of 6 months. The median age of initiation of supplementary feeding was 4.0 months. The mean age at which supplementation began showed significant difference for survival. (4.83 vs. 4.20, F = 5.22, p = 0.023). Children never breast fed had higher risk of dying than those who were breast fed in their life time. This was found to be significant even after adjustment (table 2).
Caretakers disclosed that 263 (88.9%) children had been vaccinated at least once. Excess in mortality was observed among children who had never been immunized, which was statistically significant in both the crude and adjusted analysis (table2).
The odd of death for mothers of children with parity of 5 or more was 2.73 times higher than parity of one. (OR = 2.73 95%CI (1.13, 6.60)), and the effect was maintained after adjustment (table 2).
Proportionate mortality by of cause of death of under five children, Jimma town, South Western Ethiopia October-November 2004
Among the major effective child survival interventions, breast feeding and immunization were found to be major determinants of child survival. Pneumonia contributed to the largest deaths in the study population followed by acute diarrhea and malaria.
We used an unsatisfied basic need assessment in this study. This composite scale was used for the following reasons: (I) Income measurements are rarely reliable measures of poverty in low income countries. (ii) Furthermore this measure also excludes other elements of deprivation such as housing, clothing, education and health careThis index is based on different dimensions: housing quality, dependency ratio, availability of water supply and latrine  The wealth score which is a modification of the unsatisfied basic need assessment modified for local use was found to be a significant predictor of child survival.
Contrary to studies elsewhere [22–24] maternal education was not significantly associated to child mortality. In some studies the effect of education [on mortality] was significant among families with poor socioeconomic status. Taking this into consideration, the analysis by stratification with wealth index did not show any significant difference. This might be attributed to the similarities that exist in the level of education between the comparison groups. Among environmental factors, a floor made of earth was significantly related to an excess in mortality when compared with cement floor. Its effect was lost as adjusted by other factors.
Breast feeding was found to be a strong predictor of child survival in this study. Breast feeding protects of infants from enteric infections by elimination of exposure to food- and water-borne pathogens; also, mature breast milk contains several compounds which increase immunity .
Higher level of protection by breast feeding was found among less educated women. Infants who were not breast fed had highest risk of dying during the first 2 months of life. Mean age of weaning among cases was at earlier age than that of controls. Earlier weaning was also related to excess in child mortality in other studies [1, 28]
Among preventive health services sampled, children's vaccination status was a strong predictor of child survival. The risk of mortality was about 6 fold higher among those who were not vaccinated, compared with those who received vaccination. The protective effect of vaccine is discussed in literatures [29, 30]. The national coverage of immunization in Ethiopia differs by antigen. The BCG coverage has reached 70%, while the rate of fully immunized children was 36% . The utilization of immunization service indirectly indicates caretakers' use of preventive health services.
Having more than five children was associated with increased risk of losing babies; the significance was kept even after adjusted for potential confounding variables. Other reproductive factors were not found to be significantly related to child survival.
Higher parity, short birth interval and low birth weight are known to be interrelated. The growth and development of young children are affected by their mothers' past nutritional histories and their well being during pregnancy. Birth weight is affected by maternal nutrition and health. High parity and short birth interval are known to deplete maternal nutrition and influencing the child survival through birth weight [32, 33]
Measurement of causes of death is needed for several purposes: (i) To establish the relative public health importance of the different causes of death; (ii) To evaluate trends over time especially as a method of evaluating the probable impact of the intervention programs; and (iii) To investigate the circumstance surrounding the deaths of children from specific causes and to devise effective actions to decrease mortality.
Pneumonia contributes to the largest mortality in the study population, followed by acute diarrhea and malaria contributing death similar to national report . The sensitivity and specificity of verbal autopsy diagnosis for malaria, acute respiratory infection and meningitides is low because these diseases share similar symptoms. Use of these results warrants caution. Measles, neonatal tetanus, malnutrition and accidents were detected by verbal autopsy with sensitivities and specificities of greater than 75%. Malnutrition contributed for 37.8% of all deaths. The contribution could be underestimated due to lack of ability of the tool to identify mild and moderate malnutrition. Identification of mild to moderate malnutrition using verbal autopsy is important since these groups are implicated in many more child deaths than previously recognized. Hospital based data in developing countries suggest that 55-75% of perinatal deaths are associated with prematurity and low birth weight. Because of the majority of deaths occur at home, birth weight measures are seldom available. Estimates of gestational age are particularly problematic in societies where often women do not know the dates of their last menstrual period. Birth trauma or asphyxia due to complications of delivery/poor obstetrical care are also thought to be major problems. But there exist little information regarding births that take place outside hospitals ..
HIV/AIDS was found to have caused 2(2.8%) of deaths using WHO pediatric HIV/AIDS definition. In other studies the ability to use verbal autopsy to distinguish deaths associated with maternal HIV infection from death by other causes was poor The estimated contribution of HIV to under five mortality in Ethiopia was 8.1% which was based on data from sentinel surveillance and considering the rate of mother to child transmission, and survival time of infected children . The difference between these two estimates could be due to limited ability of verbal autopsy to identify HIV-related death.
In conducting verbal autopsy different considerations should be taken into account. This study used an open approach in classification of death, broader category, and checklist without filter. The respondents were care takers. The interviewers used were lay persons trained intensively to conduct the study, which is known to increase the repeatability of the diagnosis when compared to medically trained people . Recall period advisable was for 12 months since the event is relatively more common than adult deaths. On the other hand, others argue that mothers are intimately involved in the care of sick children and so they may report the symptoms preceding the death of a child more accurately than a relative caring for an adult [15, 39].
With regard to validation of the tool, the option which was feasible was hospital-based reference which has many limitations. Besides this, we used verbal autopsy to estimate major causes of death.
Limitations of the study
Most case control studies, except for nested case control design, fail to delineate the temporal relationship of exposure and outcome variables. Recall bias might have been introduced as some events and exposures are difficult to be remembered over one year period.
To minimize selection bias all remote and accessible kebeles/units were included in the baseline survey. The definition for cases and controls were strictly adhered to during the data collection. Some cases could be missed because of maternal recall of events that occurred in early neonatal period.
Low level of sensitivity and specificity were reported for acute respiratory infections, malaria and meningitis.
Difficult to make comparison of health care utilization between the groups as controls might not have experienced an illness that is comparable to cases.
Immunized children were less likely to die as compared to unimmunized children. This can be considered as a proxy measure to health service access. Children born to mothers with fewer parity were less likely to die as compared to with parity of 5 or more. Breast fed children were less likely to die, compared to those never breast fed.
Based on these conclusions, we recommend the strengthening of immunization, family planning and breast feeding services.
This study was made possible by financial support from Action Aid Ethiopia. We would like to express our gratitude to the Department of Community Health, Addis Ababa University for all material and technical support it rendered towards completion of this study. Our final appreciation goes to study subjects who were willing to participate. All data collectors and supervisors also deserve appreciation. Martha Lincoln and Dr Dawit Getachew reviewed and edited the final version.
- Black RE, Morris SS, Bryce J: Where and why are 10 million children dying every year?. Lancet. 2003, 361 (9376): 2226-34. 10.1016/S0140-6736(03)13779-8.View ArticlePubMed
- Mosley W, Chen L: An Analytic Framework for the study of child survival in developing countries. Pop Dev Rev. 1984, 10 (Supplement): 25-45. 10.2307/2807954.View Article
- Sahle-Mariam Y, YB: Neonatal Mortality among hospital delivered babies in Addis Ababa, Ethiopia. Ethiop JHealth Dev. 1997, 11 (3): 257-81.
- Pena R, S W, LP: The effect of Poverty, Social Inequity, and Maternal Education on Infant Mortality in Nicaragua.1988-1993. Am J Public Health. 2000, 90: 64-9. 10.2105/AJPH.90.1.64.PubMed CentralView ArticlePubMed
- Ezra M, E G: Breast feeding birth interval and child survival: Analysis of the 1997 community and family survey data in the southern Ethiopia. Ethiop JHealth Dev. 2002, 16 (1): 41-51.
- Tulasidhar VB: Maternal education, female labour force participation and child mortality: evidence from the Indian census Health Transition Review. 1993, 3-2
- Anne K, Flemming S, Svend S, Susan T: The importance of maternal schooling for child morbidity and mortality and maternal health behavior in southeastern Uganda. Journal of Health & Population in Developing Countries. 2004
- Radheshyam B, Santosh CS, NA: Levels, Trends and Determinants of Child Mortality in Matlab, Bangladesh1966-1994. Asia-Pacific Population Journal. 1999, 14 (2): 51-68.
- Shamebo D, Sandstrom A, Muhe L, Freij L, Krantz I, Wall S, et al: The Butajira project in Ethiopia: A nested case-referent study of under five mortality and its public health determinants. Bulletin of World Health Organization Bulletin of World Health Organization. 1993, 71 (3/4): 389-96.
- Assefa M, Drewett R, FT: A Birth Cohort study in South West Ethiopia to identify factors associated with infant Mortality that are amenable for intervention. Ethiopian Journal of Health Development. 2003, 16 (Special): 13-20.
- Hailemariam A: Determinants of infant and early childhood mortality in small urban communities of Ethiopia: a hazard model analysis. TMtJoHD Ethiop JHealth Dev. 1997, 11 (3): 189-200.
- Shamebo D, Sandstrom A, Muhe L, Freij L, I K, Wall S: The Butajira project in Ethiopia: A nested case-referent study of under five mortality and its health and behavioral determinants. Annals of Tropical Pediatrics. 1994, 14-
- Jones G, Steketee R, Black R, Bhutta Z, Morris S, Group* tBCSS: How many child deaths can we prevent this year?. Lancet. 2003, 362: 65-71. 10.1016/S0140-6736(03)13811-1.View ArticlePubMed
- Snow RW, Armstrong JR, Forster D, Winstanley MT, Marsh VM, Newton CR, et al: Childhood deaths in Africa: uses and limitations of verbal autopsies. Lancet. 1992, 340 (8815): 351-5. 10.1016/0140-6736(92)91414-4.View ArticlePubMed
- Chandramohan D, Maude GH, Rodrigues LC, Hayes RJ: Verbal autopsies for adult deaths: issues in their development and validation. Int J Epidemiol. 1994, 23 (2): 213-22. 10.1093/ije/23.2.213.View ArticlePubMed
- WHO: A Standard Verbal Autopsy Method for investigating causes of Deaths in Infants and children. WHO/CDS/CSR/ISR1999
- Ethiopia Demographic and Health Survey 2005: Central Statistical Agency and ORC Macro. 2006
- Population and Housing Census of Ethiopia, 1994. 1996, Addis Ababa: Central Stastics Authority, Ethiopia
- Peña R, Wall S, Persson LA: The effect of poverty, social inequity, and maternal education on infant mortality in Nicaragua, 1988-1993. Am J Public Health. 2000, 90 (1): 64-9.PubMed CentralView ArticlePubMed
- Aguilar AM, Alvarado R, Cordero D, Kelly P, Zamora A, Salgado R: Mortality Survey in Bolivia: The Final Report Investigating and Identifying the Causes of Death for Children Under Five: BASICS. Basic Support for Institutionalising Child Survival.
- Dowell SF, Davis HL, Holt EA, Ruff AJ, Kissinger PJ, Bijoux J, et al: The utility of verbal autopsies for identifying HIV-1related deaths in Haitian children. AIDS. 1993, 7 (9): 1255-9. 10.1097/00002030-199309000-00016.View ArticlePubMed
- Tulasidhar VB: Maternal education, female labour force participation and child mortality: evidence from the Indian census Health Transition Review. 1993, 3 (2):
- Anne K, Flemming S, Svend S, Susan R: The Importance of Maternal Schooling for child Morbidity and Mortality and maternal Health Behavior in South Eastern Uganda. Journal of Health & Population in Developing Countries. 2004, 2004 March 9
- Radheshyam B, Santosh C, Nurul A: Levels, Trends and Determinants of Child Mortality in Matlab, Bangladesh, 1966-1994. Asia-Pacific Population Journal. 1999, 14 (2): 51-68.
- Peña R, Wall S, Persson L: Fertility and infant mortality trends in Nicaragua 1964-1993. The role of women education's education J Epidemiol Community Health. 1999, 53 (3): 132-7.
- Vanderslice J, Popkin B, Briscoe J: Drinking-water quality, sanitation, and breast feeding: their interactive effects on infant health. Bulletin of the World health organization. 1994, 72 (4): 589-601.PubMed CentralPubMed
- Victora C, AB, Fuches S: Effect of breastfeeding on infant and child mortality due to infectious diseases in less developed countries: a pooled analysis. The Lancet. 2000, 355: 451-5.View Article
- Shamebo D, Sandstrom A, Muhe L, Freij L, I K, Wall S: The Butajira project in Ethiopia: A nested case-referent study of under five mortality and its health and behavioral determinants. Annals of Tropical Pediatrics. 1994, 14-
- Nyarko P, Pence b, Debpuur C: Immunization status and child survival in Rural Ghana. 2001, Population Research Division Working Paper No. 147, Population Council, New York
- Hussain A, Ali SM, Kvåle G: Determinants of mortality among children in the urban slums of Dhaka city, Bangladesh. Tropical Medicine & International Health. 1999, 4 (11): 758-64.View Article
- Health and Health Related Indicators: Addis Ababa: Federal Ministry of Health, Ethiopia. 1996, E.C
- Pelletier DL, Frongillo EA, Habicht JP: Epidemiologic evidence for a potentiating effect of malnutrition on child mortality. Am J Public Health. 1993, 83 (8): 1130-3. 10.2105/AJPH.83.8.1130. 1993 August 1,PubMed CentralView ArticlePubMed
- Malnutrition and child mortality: program Implications of new evidence. Basics. 1995
- Memorandum, WHO/UNICEF, Meeting: Measurement of overall and cause-specific mortality in infants and children. Bulletin of World Health Organization. 1994, 72 (3): 707-13.
- Jennifer B, Arifeen Se, George Pariyo, Claudio F Lanata, Davidson Gwatkin, Jean-Pierre H, et al: Reducing child mortality: can public health deliver?. Lancet. 2003, 362: 159-64. 10.1016/S0140-6736(03)13870-6.View Article
- Snow RW, Winstanley MT, Marsh VM, Newton C, Waruiru C, Mwangi I, et al: Childhood deaths in Africa: uses and limitations of verbal autopsies. Lancet. 1992, 340 (8815): 351-5. 10.1016/0140-6736(92)91414-4.View ArticlePubMed
- Ronald H: Interview Based Diagnosis of Morbidity and causes of death. Baltimore, Maryland: John Hopkins Universtiy, School of Public Health, Department of Population Dynamics
- Walker N, Schwartlander B, Bryce J: Meeting international goals in child survival and HIV/AIDS. Lancet. 2002, 360: 284-9. 10.1016/S0140-6736(02)09550-8.View ArticlePubMed
- Snow B, Marsh K: How useful are verbal autopsies to estimate childhood causes of death?. Health Policy Plan. 1992, 7 (1): 22-9. 10.1093/heapol/7.1.22. 1992 March 1View Article
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/11/197/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.