Trends and Predictors of Prelacteal Feeding Practices in Nigeria (2003–2013)
by
, ,
Kingsley E. Agho
1,*
,
Pascal Ogeleka
2, 
Felix A. Ogbo
3,4,
Osita K. Ezeh
1,
John Eastwood
4,5 and
Andrew Page
3 
1
School of Science and Health, Western Sydney University, Campbelltown Campus, Locked Bag 1797, Penrith 2571, NSW, Australia
2
Department of Public Health, College of Science, School of Public Health, Health and Engineering La Trobe University, Bundoora 3083, VIC, Australia
3
Centre for Health Research, School of Medicine, Western Sydney University, Campbelltown Campus, Locked Bag 1797, Penrith 2571, NSW, Australia
4
Ingham Institute for Applied Medical Research, 1 Campbell Street, Liverpool 2170, NSW, Australia
5
Department of Community Paediatrics, Community Paediatrics, Sydney Local Health District 24 Liverpool Road, Croydon 2132, NSW, Australia
*
Author to whom correspondence should be addressed.
Nutrients 2016, 8(8), 462; https://doi.org/10.3390/nu8080462
Submission received: 6 June 2016
/
Revised: 11 July 2016
/
Accepted: 19 July 2016
/
Published: 29 July 2016
Abstract
:Prelacteal feeding practices are associated with an increased risk of diarrhoea and many early-life diseases. This paper examined trends and predictors of prelacteal feeding practices in Nigeria. A sample of 6416 infants aged 0–6 months from the Nigeria Demographic and Health Survey data for the period (2003–2013) was used. Trends and multilevel logistic regression analyses were used to determine the predictors. The trends of prelacteal feeding rates fluctuated between 55% and 66% over the study period and were significantly lower among mothers with secondary or higher levels of education (13.1%, 95% confidence interval (CI): 0.54–25.9, p-value = 0.041), delivered at the health facility (13.7%, CI: 1.39–25.9, p-value = 0.029), from more affluent households (18.7%, CI: 1.53–35.9, p-value = 0.033), and lived in urban areas (26.9%, CI: 18.3–35.5, p-value < 0.001). Multivariable analyses revealed that mothers with no schooling, younger mothers (aged 15–24 years), mothers who delivered at home, and delivered by caesarean section were more likely to introduce prelacteal feeds. Many mothers still engage in prelacteal feeding practices in Nigeria, with prelacteal feeding more prevalent in young mothers, mothers with no schooling, and mothers who delivered at home. Interventions involving community health volunteers are needed to improve feeding practices in Nigeria.
1. Introduction
It has been previously documented that prelacteal feeding is harmful and can expose infants to the risk of infection [1]. A recent study conducted in India indicated that infants who received prelacteal feeding were significantly more likely to be stunted and wasted compared to those who were exclusively breastfed [1]. Prelacteal feeding practice among nursing mothers deprive newborns of colostrum—rich in nutrients and immunoglobulins—thus, causing a reduction of the priming of the gastrointestinal tract, and increases the risk of infant morbidity and mortality [2,3]. Studies have shown that the type of prelacteal feeds given to the newborn is associated with the culture and belief system of the nursing mothers [4,5]. The most common prelacteal foods given to infants in many low-middle income countries could be grouped into three: water only, water-based (rice water, herbal mixture, juice), and milk-based (animal milk, infant formula) [4].
Breastmilk remains the ideal source of nutrients and natural immunity for protection of infants against infectious and chronic diseases, and development of neurocognitive systems [6,7,8,9]. Optimal breastfeeding at birth plays an important role in determining the health of a child, globally [7,8], especially those less than six months of age. In recognition of the benefits of human breastmilk, particularly when infants are exclusively breastfed, the World Health Organization (WHO) and United Nations Children’s Fund (UNICEF) recommends the avoidance of prelacteal feeding of infants within the first six months of life, if not medically indicated [4,6,10,11].
Despite significant benefits associated with exclusive breastfeeding, prelacteal feeding is still widely practiced worldwide, for example, in Asia [3,4,12,13], Latin America [14,15], and sub-Saharan African countries [2,6,16,17,18], including Nigeria. It has been suggested that insufficient flow of mother’s breastmilk, medical indications (such as prevention of dehydration or hypoglycaemia), and cultural belief systems (such as cleansing the baby’s gastrointestinal tract for digestion, quenching thirst, flushing of the bladder, and affording the mother some rest) possible reasons for why mothers practice prelacteal feeding [9,17,19]. The prevalence of prelacteal feeding in Nigeria remains the highest (56%) [10] in the sub-Saharan African region compared to other countries, like Ethiopia (45%) [2] and Uganda (31%) [6]. This could be one of the reasons for why Nigeria still has the lowest reported rate of exclusive breastfeeding in sub-Saharan Africa [20].
Previous studies on prelacteal feeding in Nigeria were hospital- and metropolitan-based studies [17,19,21], and findings from these studies may not be effective for formulating interventional policies to the wider Nigerian population because mothers who delivered at home facilities, particularly those in rural communities, were not included. The most recent report from the 2013 Nigeria Demographic and Health Survey (NDHS) indicated that nearly two-thirds of infants were born in home facilities, and majority of these births occurred in rural areas [22]. An in-depth knowledge of factors influencing introduction of prelacteal feeds is important in the promotion of exclusive breastfeeding and early initiation of breastfeeding in Nigeria [4]. Hence, this study aimed to examine trends in prelacteal feeding in Nigeria and investigate factors associated with the introduction of prelacteal feeds in Nigeria using nationally representative household survey data for the period (2003–2013). Findings from this study will provide evidence-based information to policy-makers and public health experts to inform policies and interventions that can improve infant feeding practices and child’s nutrition in Nigeria.
2. Materials and Methods
Data used for this study were from the 2003 (n = 658), 2008 (n = 2832) and 2013 (n = 2926) NDHS household surveys [8,22,23], with ethics approval from ICF International (Rockville, MD, USA). The data were used to examine the trends in prelacteal feeding, and to examine the factors associated with prelacteal feeding in Nigeria. Examining the predictors of prelacteal feeds, we pooled the three surveys. The NDHS provides information on a wide range of socio-economic, demographic, environmental, and health characteristics (including infant feeding practices) by interviewing men aged 15–59 years and women aged 15–49 years. Sampling techniques utilized in obtaining the information have been discussed in detail elsewhere [23].
In the merged dataset (n = 6416), the analyses used information from the most recent live newborns aged less than six months old who had prelacteal feeds within the five-year period preceding the NDHS interview date.
2.1. Outcome and Exploratory Variables
The key outcome variable in the study was prelacteal feeding, as reported by the mothers who were interviewed in the surveys, defined as giving any food item or liquid (except breast milk) to a newborn, within the first three days after birth [4,6,10,11]. The binary form of the outcome variable “prelacteal feeding” was noted as a “Yes” (1 = if newborn infants were given any food items or liquid within the specified period) and a “No” (0 = if newborn infants were not given any food items or liquid within the specified period). In the NDHS survey, mothers who participated were asked “in the first 3 days after delivery, was your newborn given anything to drink other than breast milk”, which was followed by 10 groups of liquid drinks, including plain water, sugar or glucose water, gripe water, sugar/salt water solution, fruit juice, milk, infant formula, tea/infusion, honey, and others.
Previous studies on prelacteal feeding [2,4,10,12,14,18], especially from low- and middle income countries, played a role in the exploratory variables selected for the study based on the data available in the pooled dataset. These variables were grouped into four classes: community level factors, socio-economic level factors, proximate determinants (maternal and newborn characteristics), and health knowledge factors. The community level factors assessed included geopolitical zone (North Central, North East, North West, South East, South West, and South South) and place of residence (rural or urban). The socio-economic level factors considered were maternal education, paternal education, maternal work status and wealth index variable which measures the economic status of men and women who participated in the survey. The proximate determinants consist of maternal and infant characteristics, maternal age at birth, and child characteristics (gender, birth place, birth order, birth interval, mode of delivery, delivery assistance, antenatal visit, and perceived newborn size by the mother). We also considered health knowledge factors consisting of the frequency of mothers listening to the radio, watching television, and reading newspapers or magazines.
The actual birth weight was not used in the study because over half of the newborns were not weighed at birth; however, perceived newborn size at birth by mothers was used as a reasonable proxy. A previous study reported that there is a close association between mean birth weight and perceived newborn size by the mother [24].
2.2. Statistical Analysis
Preliminary analyses involved frequency tabulations of all selected characteristics for each year of survey, followed by estimation of trends in prevalence of prelacteal feeding over a 10-year period. The Taylor series linearization method was used in the surveys when estimating 95% confidence intervals around prevalence estimates. Differences in prevalence estimates in prelacteal feeding were expressed as percentages comparing the survey across the study period. In all comparisons, differences were estimated using a chi-squared to test the significance of differences at p < 0.05.
Logistic regression generalized linear latent and mixed models (GLLAM) with the logit link and binomial family [25] that adjusted for cluster and survey weights were used to identify those factors associated with prelacteal feeding. A staged modelling technique was adopted for the multivariable analysis in which level-factors were entered progressively into the model to assess their relationship with the study outcome [26]. First, the community-level factors were entered into the baseline multivariable model to examine their association with the study outcome. Thereafter, a manual stepwise backwards elimination process was conducted and only variables significantly related to the study outcome at a 0.05 significance level were retained in the model (model 1). Second, socio-economic level factors were entered into model 1, and those factors with p-values < 0.05 were retained (model 2) after a backwards elimination process was conducted. Third, proximate determinant factors consisting of maternal and infant factors were added to model 2. As before, those factors with p-values < 0.05 were retained (model 3). Finally, a similar process was used for the health knowledge factors, which were entered into model 3. Once more, those factors with p-values < 0.05 were retained in the final model (model 4). Only those factors significantly associated with prelacteal feeding at a 5% significance level in model 4 were reported in the study.
The odds ratios (OR) and their 95% confidence interval derived from the adjusted logistic regression models were used to measure the level of association of the factors with prelacteal feeding in Nigeria. For the adjustment of the cluster sampling survey design employed in the NDHS and sampling weights, analyses were performed using “svy” commands in STATA version 13.0 (Stata Corporation, College Station, TX, USA).
3. Results
Of the 6416 most recent live births of infants aged less than six months used in the analyses, 3727 infants were provided with prelacteal foods. Compared with other geopolitical regions, the North West geopolitical region had the highest number of infants provided with prelacteal foods (Table 1). The number of infants provided with prelacteal foods was also higher among poor households, male infants, and those infants delivered by a non-health professional (i.e., a combination of traditional birth attendants, other unskilled worker, and no one).
3.1. Trends in Prelacteal Feeds
Our result indicated that the prevalence of prelacteal feeding fluctuated (i.e., between 66.4% in 2003, 55.3% in 2008, and 59.0% in 2013) over the study period (Figure 1). These results could be translated to a significant decrease of about 11% in 2008 compared to 2003, and an increase of about 4% in 2013 compared with 2008 but this increase did not differ statistically.
3.1.1. Trends in Prevalence of Prelacteal Feeds by Key Factors
Table 2 shows the trends in prevalence of prelacteal feeding by key factors. The study found that the prelacteal feeding among infants aged 0–6 months of age increased significantly by 19.3% in North-Central, significantly decreased by 10.5% and 46% in North-East and South-South Geopolitical regions, respectively. The trend in prelacteal feeds reduced significantly among mothers who lived in urban areas (26.9%, p < 0.001). Prelacteal feeding practices among mothers who completed primary education and mothers from rich households decreased significantly by 13.1% and 18.7%, respectively over the study period.
The trend in prelacteal feeding practices decreased significantly among working mothers (9.3%, p = 0.027), mother who delivered their babies at the health facilities (13.7%, p = 0.029), mothers who delivered their infant by caesarean (43.1%, p < 0.001) and non-caesarean (6.9%, p = 0.043), mothers aged 35–49 years old (14.8%, p = 0.013), and the mothers delivered by health professionals (15.3%, p < 0.009) over the study period.
3.1.2. Multivariable Analysis
Compared with other geopolitical regions, newborns born to mothers residing in the North East geopolitical region (OR = 4.77, 95% CI: 3.41–6.66) reported a significantly higher risk of prelacteal feeding. There was a significantly lower risk of prelacteal feeding for second to fourth birth order newborns (OR = 0.80, 95% CI: 0.66–0.97) compared to first birth (Table 3). A significantly higher risk of prelacteal feeding among newborns was observed if their mothers had no formal education (OR = 1.65, 95% CI: 1.33–2.03). Similar results were noted when we replaced maternal education with paternal education in the final model; that is, newborns whose fathers had no formal education were more likely to receive prelacteal feeds compared to those whose fathers had formal education (OR = 1.46, 95% CI: 1.21–1.77).
Newborns who were delivered at home were more likely to receive prelacteal feeds compared to those who were delivered at a health facility (OR = 1.45, 95% CI: 1.23–1.71). In comparison to newborns who were delivered by younger mothers (aged 15–24 years), newborns who were delivered by older mothers (aged 35–49 years) had a significantly lower risk of receiving prelacteal feeds (Table 3). Other significant factors that positively influenced prelacteal feeding in Nigeria included newborns whose deliveries were by caesarean section, and newborns whose mothers were employed (OR = 1.91, 95% CI: 1.17–3.13 and OR = 1.26, 95% CI: 1.10–1.44, respectively).
4. Discussion
The overall prevalence of prelacteal feeding decreased over the study period (2003–2013). A decreasing trend in the prevalence of prelacteal feeding behavior was observed among mothers with at least a primary level of education, employed mothers, older mothers aged 35–49 years. A similar decreasing trend in prelacteal feeding practice was evident among mothers who delivered their babies at a health facility compared to those who delivered at home. Mothers with no education and young mothers were more likely to engage in prelacteal feeding compared to educated and older mothers, respectively. The odds for prelacteal feeding were higher among mothers in employment and those who delivered at home compared to mothers not in employment and those who delivered at a health facility, respectively.
In interpreting the study findings, a range of methodological limitations and strengths need to be considered. First, prelacteal feeding, as an outcome in this study, was based on self-report, and this is a likely source of measurement bias, given that mothers may inaccurately recall how the child was fed at the time mothers were asked to participate in these surveys. A second possible limitation is that newborn infants who received both solid or liquid items and breast milk were not detailed in the NDHS database, and misclassification of infants who received prelacteal feeding may have occurred. However, recall bias is less likely given that analyses were restricted to the most recent birth within the five-year period preceding the surveys. Another important strength is that data used in this study were nationally representative with high response rates ranging from 95% to 98%.
The benefits of early initiation of breastfeeding within the first hour of birth and exclusive breastfeeding are well documented [4,27]. However, in many developing countries prelacteal feeding, (which is the act of giving any food item or liquid except breast milk to a newborn, within the first three days after birth, unless medically indicated) remains a common practice among new mothers [4,6,10,12,13,14,15]. Although a decreasing prevalence of prelacteal feeding was observed in the current study, this rate remains high in Nigeria compared to other sub-Saharan African countries such as Ethiopia [2], Uganda [6], and Egypt [10]. Additionally, studies from Nigeria have reported variations in the prevalence of prelacteal feeding, where socio-economic status (particularly maternal education) and the place of residence (urban or rural) played a major role [21,23]. These differences in prevalence of prelacteal feeding may reflect the population characteristics and the data source [4,21,23]. Plausible reasons for the decline in prelacteal feeding in Nigeria may be due to a decrease in the prevalence of Human Immunodeficiency Virus (HIV) infection and home delivery in Nigeria [28], as suggested by previously published studies from Uganda [29] and Bangladesh [30], respectively. In the past, the implementation of the World Health Organization’s (WHO) infant feeding recommendations for mothers living with HIV created befuddling messages that resulted in the practice of mixed feeding, including prelacteal feeding [29]. However, evidence has shown that mixed feeding increases the risk of HIV transmission compared to exclusive breastfeeding [31,32]. Thus, exclusive breastfeeding is now recommended for infants of HIV positive mothers, except when medically advised, where the infant exclusively receives infant formula. The improvement in female education and an increase in the female labor force participation—shown to improve breastfeeding practices—may also be an additional reason for the observed decrease in the prevalence of prelacteal feeding in Nigeria [33].
Geopolitical variability has been reported among Nigerian [20] and Nepalese [4] mothers in the context of suboptimal breastfeeding practices (including prelacteal feeding). In Nigeria, Islam as a religion is dominant in the northern region, while Christianity dominates in the southern region. Sub-analysis showed that prelacteal feeding practice was higher among women whose religion was Islam (17%) compared to those whose religion was Christian (10%). The northern region of Nigeria has a lower proportion of female education and poorer health care system compared to southern Nigerian [23], and this may be a reason for the geopolitical differences in prelacteal feeding in Nigeria. This further highlights the need for stronger political resolve (including community-based initiatives) to reduce prelacteal feeding behaviors of Nigerian mothers. Further, other reasons have been documented for why mothers engage in prelacteal feeding, including health inequalities, socio-cultural belief systems and religious differences [4,20,23]. Similarly, studies from Nigeria [30], Malawi [34], and Indonesia [35] have suggested that the attitude of grandmothers and traditional birth attendants (TBAs) may also be an impediment to optimal infant feeding, where grandmothers or TBAs encourage new mothers to throw away the colostrum—rich in immunoglobulins and nutrients. Community-based initiatives that consider the local environment, cultural, and religious differences of Nigerian mothers are needed to reduce prelacteal feeding practices in Nigeria.
In this study, place and mode of delivery were associated with prelacteal feeding practices. These findings were consistent with evidence from India [12,36,37,38] and Ethiopia [2], which showed that home delivery promoted prelacteal feeding. Similarly, studies from Vietnam [3], Nepal [4], and Uganda [6] found higher prevalence of prelacteal feeding among newborns whose mothers delivered by caesarean section compared to those who delivered per vaginum. Caesarean section has been found to be an obstacle to early initiation of breastfeeding in many mothers who deliver at the health facility, and this may be an additional reason for the observed finding [3,39]. In Nigeria many health care centers (particularly baby-friendly certified hospitals) promote early initiation of breastfeeding and exclusive breastfeeding [2], and also ensure provider-directed breastfeeding counselling during pregnancy, delivery, and postpartum periods to deter prelacteal feeding practices [3]. Mothers who delivered at home miss this opportunity to receive health information on optimal breastfeeding practices, and this could be a likely reason for the high prevalence of prelacteal feeding observed in mothers who delivered at home. Facility- and community-based interventions that encourage mothers to deliver in the health facility, including training of health care professionals and traditional birth attendants in Nigeria are needed to further reduce prelacteal feeding practices in Nigeria.
Consistent with evidence from Nepal [4], Uganda [6], India [12], and Honduras [40], this study found that younger maternal age was associated with prelacteal feeding compared to older mothers. A plausible explanation for this finding may be that younger mothers (likely to be primiparous) have less knowledge, skills, and experience in optimal breastfeeding practices and newborn care, and are easily influenced by the marketing of infant formulas—of increasing trend in Nigeria, mainly through the television and magazines [41,42]. The enforcement of the International Code of Marketing of Breast Milk Substitutes would also be significant in reducing prelacteal feeding practices in Nigeria.
In the present study, mothers with no formal education were more likely to engage in prelacteal feeding practices compared to those with formal education. This finding has also been reported in studies from other developing countries such Nepal [4], Uganda [6], and India [36,38]. Nonetheless, studies from Philippines [43] and China [44] found that educated mothers engaged in prelacteal feeding. Socio-cultural differences, increasing female labor force participation and changes in population demography may be the reason for the observed variation in prelacteal feeding among educated mothers.
5. Conclusions
The rate of prelacteal feeding in Nigeria remains one of the highest in the world. The multifactorial nature of its determinants, including socioeconomic deprivation entails the adoption of a multipronged community-based approach with special focus on the North-East and North-West regions, uneducated mothers, mothers who delivered at home, and younger and primiparous mothers, to achieve a substantial reduction in prelacteal feeding prevalence.
Acknowledgments
The authors are grateful to Measure DHS, ORC International, Rockville, Marylands, USA for providing the 2003–2013 NDHS data for this analysis. This study received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Author Contributions
Kingsley E. Agho and Osita K. Ezeh conceptualized the study, performed the analyses, interpreted the data, and critically reviewed the manuscript. Pascal Ogeleka drafted the initial manuscript, contributed to the interpretation of the data and critically reviewed the manuscript. Felix A. Ogbo contributed to the conceptualization of the study, interpreted the data and critically revised the manuscript. Andrew Page and John Eastwood contributed to the interpretation of the results and critically revised the manuscript for intellectual content. All authors read and approved the final manuscript as submitted.
Conflicts of Interest
The authors declare no conflict of interest.
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Figure 1.
Trends in prevalence of prelacteal feeding in Nigeria (NDHS 2003–2013).
Table 1.
Characteristics of infants less than six months of age provided with prelacteal foods in Nigeria, NDHS 2003–2013.
| Variables | 2003 N (n) | 2008 N (n) | 2013 N (n) |
|---|---|---|---|
| Community-Level Factor | |||
| Geopolitical region | |||
| North Central | 89 (32) | 380 (145) | 429 (235) |
| North East | 149 (124) | 496 (392) | 533 (387) |
| North West | 233 (184) | 818 (549) | 1020 (730) |
| South East | 35 (11) | 271 (145) | 267 (135) |
| South West | 85 (37) | 393 (205) | 277 (124) |
| South South | 67 (49) | 475 (128) | 401 (114) |
| Residence type | |||
| Urban | 180 (132) | 870 (391) | 1016 (475) |
| Rural | 478 (304) | 1961 (1174) | 1910 (1250) |
| Socio-Economic Factors | |||
| Household wealth index | |||
| Poor | 290 (205) | 975 (628) | 1096 (766) |
| Middle | 250 (161) | 1034 (581) | 1324 (748) |
| Rich | 108 (64) | 669 (281) | 467 (189) |
| Mother’s education | |||
| No education | 333 (252) | 1249 (836) | 1427 (1045) |
| Primary | 151 (88) | 625 (321) | 517 (268) |
| Secondary or higher | 175 (96) | 958 (407) | 982 (411) |
| Father’s education | |||
| No education | 254(203) | 993 (649) | 1099 (829) |
| Primary | 143 (95) | 560 (317) | 509 (281) |
| Secondary or higher | 232 (126) | 1150 (525) | 1223 (571) |
| Mother’s working status | |||
| Not working | 293 (199) | 1257 (729) | 1302 (765) |
| Working | 365 (237) | 1564 (828) | 1622 (958) |
| Maternal and Infant Factors | |||
| Mother’s age | |||
| 15–24 | 264 (180) | 947 (562) | 970 (625) |
| 25–34 | 294 (182) | 1360 (709) | 1427 (788) |
| 35–49 | 100 (74) | 524 (294) | 529 (313) |
| Mother’s perceived baby size | |||
| Small | 108 (72) | 465 (270) | 481 (324) |
| Average | 289 (188) | 1103 (652) | 1183 (740) |
| Large | 255 (173) | 1240 (635) | 1251 (653) |
| Sex | |||
| Female | 313 (204) | 1392 (755) | 1479 (857) |
| Male | 345 (233) | 1440 (810) | 1446 (868) |
| Birth order | |||
| 1 | 144 (98) | 563 (321) | 556 (319) |
| 2 to 4 | 296 (180) | 1271 (637) | 1324 (732) |
| ≥5 | 219 (159) | 998 (606) | 1045 (674) |
| Birth interval (months) | |||
| No previous birth | 144 (98) | 563 (321) | 556 (319) |
| <24 | 73 (36) | 362 (191) | 363 (220) |
| ≥24 | 441 (303) | 1900 (1051) | 2003 (1184) |
| Place of birth | |||
| Home | 455 (324) | 1765 (1115) | 1864 (1281) |
| Health facility | 203 (113) | 1067 (450) | 1062 (444) |
| Mode of delivery | |||
| Non-caesarean | 643 (427) | 2780 (1535) | 2843 (1688) |
| Caesarean | 8 (6) | 49 (29) | 57 (28) |
| Antenatal visit | |||
| None | 263 (200) | 1250 (780) | 1019 (718) |
| 1 to 3 | 98 (59) | 344 (198) | 471 (299) |
| ≥4 | 295 (177) | 1238 (586) | 1436 (708) |
| Delivery assistance | |||
| Health professional | 215 (125) | 985 (417) | 1086 (466) |
| Traditional birth attendant | 114 (82) | 576 (375) | 635 (438) |
| other unskilled worker | 236 (160) | 734 (437) | 815 (531) |
| No one | 93 (69) | 537 (336) | 390 (290) |
| Health knowledge factors | |||
| Reading magazine or newspaper | |||
| At least once a week | 48 (20) | 162 (57) | 185 (77) |
| Less than once a week | 57 (33) | 243 (110) | 225 (89) |
| Never | 545 (376) | 2344 (1366) | 2497 (1544) |
| Listening to radio | |||
| At least once a week | 163 (107) | 606 (320) | 1024 (550) |
| Less than once a week | 83 (43) | 445 (245) | 714 (385) |
| Never | 189 (140) | 996 (643) | 1177 (783) |
| Watching TV | |||
| At least once a week | 62 (42) | 355 (175) | 828 (370) |
| Less than once a week | 53 (27) | 303 (161) | 470 (224) |
| Never | 412 (288) | 1617 (1012) | 1613 (1120) |
N = Weighted number of infants < 6 months of age; n = Weighted number of infants provided with prelacteal foods.
Table 2.
Prevalence and differences as percentage-points of prelacteal feeding rates by individual, household and community characteristics, Nigeria, 2003, 2008, and 2013.
| Characteristic | Prelacteal Feeding Rate 2003 | Prelacteal Feeding Rate 2008 | Prelacteal Feeding Rate 2013 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| % | (2008–2003) | p | % | (2013–2008) | p | % | (2013–2003) | p | |
| Community-level factor | |||||||||
| Geographical region | |||||||||
| North Central | 35.5 | 2.8 | 0.704 | 38.3 | 16.50 | <0.001 | 54.8 | 19.3 | 0.015 |
| North East | 83.1 | −4.1 | 0.292 | 79.0 | −6.40 | 0.117 | 72.6 | −10.5 | 0.035 |
| North West | 78.8 | −11.6 | 0.006 | 67.2 | 4.40 | 0.143 | 71.6 | −7.2 | 0.087 |
| South East | 31.8 | 21.7 | 0.166 | 53.5 | −2.80 | 0.609 | 50.7 | 18.9 | 0.233 |
| South West | 43.3 | 9.0 | 0.369 | 52.3 | −7.40 | 0.086 | 44.9 | 1.6 | 0.872 |
| South South | 74.3 | −48.3 | <0.001 | 26.0 | 2.30 | 0.740 | 28.3 | −46.0 | <0.001 |
| Residence type | |||||||||
| Urban | 73.7 | −28.8 | <0.001 | 44.9 | 1.90 | 0.573 | 46.8 | −26.9 | <0.001 |
| Rural | 63.6 | −3.8 | 0.368 | 59.8 | 5.60 | 0.012 | 65.4 | 1.8 | 0.674 |
| Socio-economic factors | |||||||||
| Household wealth index | |||||||||
| Poor | 70.7 | −6.3 | 0.123 | 64.4 | 5.50 | 0.055 | 69.9 | −0.8 | 0.833 |
| Middle | 64.3 | −8.1 | 0.137 | 56.2 | 0.30 | 0.916 | 56.5 | −7.8 | 0.151 |
| Rich | 59.2 | −17.1 | 0.046 | 42.1 | −1.60 | 0.679 | 40.5 | −18.7 | 0.033 |
| Mother’s education | |||||||||
| No education | 75.9 | −9.0 | 0.017 | 66.9 | 6.40 | 0.010 | 73.3 | −2.6 | 0.493 |
| Primary | 58.4 | −7.1 | 0.248 | 51.3 | 0.60 | 0.885 | 51.9 | −6.5 | 0.292 |
| Secondary or higher | 55.1 | −12.5 | 0.052 | 42.6 | −0.60 | 0.815 | 42.0 | −13.1 | 0.041 |
| Father’s education | |||||||||
| No education | 79.9 | −14.7 | <0.001 | 65.2 | 10.30 | <0.001 | 75.5 | −4.4 | 0.219 |
| Primary | 66.6 | −9.9 | 0.097 | 56.7 | −1.50 | 0.701 | 55.2 | −11.4 | 0.06 |
| Secondary or higher | 54.5 | −8.8 | 0.073 | 45.7 | 1.00 | 0.671 | 46.7 | −7.8 | 0.115 |
| Mother’s working status | |||||||||
| Not working | 68.1 | −10.1 | 0.013 | 58.0 | 0.80 | 0.748 | 58.8 | −9.3 | 0.027 |
| Working | 65.0 | −12.0 | 0.004 | 53.0 | 6.10 | 0.013 | 59.1 | −5.9 | 0.157 |
| Maternal and infant factors | |||||||||
| Mother’s age | |||||||||
| 15–24 | 68.2 | −8.9 | 0.098 | 59.3 | 5.10 | 0.062 | 64.4 | −3.8 | 0.489 |
| 25–34 | 62.2 | −10.0 | 0.017 | 52.2 | 3.00 | 0.224 | 55.2 | −7.0 | 0.109 |
| 35–49 | 73.9 | −17.9 | 0.002 | 56.0 | 3.10 | 0.388 | 59.1 | −14.8 | 0.013 |
| Mother’s perceived baby size | |||||||||
| Small | 66.4 | −8.2 | 0.277 | 58.2 | 9.20 | 0.013 | 67.4 | 1.0 | 0.901 |
| Average | 64.9 | −5.8 | 0.144 | 59.1 | 3.50 | 0.180 | 62.6 | −2.3 | 0.551 |
| Large | 67.9 | −16.7 | <0.001 | 51.2 | 1.00 | 0.691 | 52.2 | −15.7 | 0.001 |
| Sex | |||||||||
| Female | 65.2 | −11.0 | 0.004 | 54.2 | 3.70 | 0.119 | 57.9 | −7.3 | 0.069 |
| Male | 67.4 | −11.2 | 0.014 | 56.2 | 3.80 | 0.103 | 60.0 | −7.4 | 0.103 |
| Birth order | |||||||||
| 1 | 68.0 | −10.9 | 0.148 | 57.1 | 0.30 | 0.941 | 57.4 | −10.6 | 0.166 |
| 2 to 4 | 60.7 | −10.6 | 0.024 | 50.1 | 5.20 | 0.045 | 55.3 | −5.4 | 0.260 |
| ≥5 | 72.9 | −12.1 | 0.005 | 60.8 | 3.70 | 0.161 | 64.5 | −8.4 | 0.058 |
| Birth interval (months) | |||||||||
| No previous birth | 68.0 | −10.9 | 0.148 | 57.1 | 0.30 | 0.941 | 57.4 | −10.6 | 0.166 |
| <24 | 49.7 | 3.0 | 0.768 | 52.7 | 7.40 | 0.078 | 60.1 | 10.4 | 0.287 |
| ≥24 | 68.6 | −13.2 | <0.001 | 55.4 | 3.70 | 0.084 | 59.1 | −9.5 | 0.009 |
| Place of birth | |||||||||
| Home | 71.2 | −8.0 | 0.022 | 63.2 | 5.50 | 0.008 | 68.7 | −2.5 | 0.478 |
| Health facility | 55.5 | −13.3 | 0.032 | 42.2 | −0.40 | 0.904 | 41.8 | −13.7 | 0.029 |
| Mode of delivery | |||||||||
| Non-caesarean | 66.3 | −11.1 | 0.001 | 55.2 | 4.20 | 0.026 | 59.4 | −6.9 | 0.043 |
| Caesarean | 92.7 | −34.4 | 0.002 | 58.3 | −8.70 | 0.438 | 49.6 | −43.1 | <0.001 |
| Antenatal visit | |||||||||
| None | 76.1 | −13.7 | 0.001 | 62.4 | 8.10 | 0.003 | 70.5 | −5.6 | 0.181 |
| 1 to 3 | 60.6 | −2.8 | 0.721 | 57.8 | 5.60 | 0.182 | 63.4 | 2.8 | 0.713 |
| ≥4 | 60.1 | −12.8 | 0.009 | 47.3 | 2.00 | 0.42 | 49.3 | −10.8 | 0.026 |
| Delivery assistance | |||||||||
| Health professional | 58.2 | −15.9 | 0.007 | 42.3 | 0.60 | 0.828 | 42.9 | −15.3 | 0.009 |
| Traditional birth attendant | 71.7 | −6.5 | 0.319 | 65.2 | 3.80 | 0.291 | 69.0 | −2.7 | 0.676 |
| other unskilled worker | 68.0 | −8.5 | 0.075 | 59.5 | 5.70 | 0.069 | 65.2 | −2.8 | 0.559 |
| No one | 74.5 | −12.0 | 0.053 | 62.5 | 11.80 | 0.001 | 74.3 | −0.2 | 0.984 |
| Health knowledge factors | |||||||||
| Reading magazine or newspaper | |||||||||
| At least once a week | 41.3 | −6.0 | 0.649 | 35.3 | 6.50 | 0.285 | 41.8 | 0.5 | 0.968 |
| Less than once a week | 58.4 | −13.2 | 0.142 | 45.2 | −5.80 | 0.301 | 39.4 | −19.0 | 0.036 |
| Never | 69.0 | −10.7 | 0.001 | 58.3 | 3.50 | 0.073 | 61.8 | −7.2 | 0.026 |
| Listening to radio | |||||||||
| At least once a week | 65.7 | −12.8 | 0.018 | 52.9 | 0.90 | 0.788 | 53.8 | −11.9 | 0.024 |
| Less than once a week | 52.4 | 2.8 | 0.702 | 55.2 | −1.20 | 0.743 | 54.0 | 1.6 | 0.824 |
| Never | 74.2 | −9.7 | 0.031 | 64.5 | 2.00 | 0.481 | 66.5 | −7.7 | 0.098 |
| Watching TV | |||||||||
| At least once a week | 68.1 | −18.7 | 0.034 | 49.4 | −4.70 | 0.248 | 44.7 | −23.4 | 0.006 |
| Less than once a week | 51.5 | 1.7 | 0.869 | 53.2 | −5.60 | 0.193 | 47.6 | −3.9 | 0.701 |
| Never | 70.0 | −7.4 | 0.055 | 62.6 | 6.90 | 0.003 | 69.5 | −0.5 | 0.887 |
Table 3.
Adjusted and unadjusted odd ratios (95% confidence interval (CI)) for factors associated with prelacteal feeding in Nigeria, (NDHS, 2003–2013).
| Variables | Unadjusted | Adjusted ^,* |
|---|---|---|
| OR (95% CI) | OR (95% CI) | |
| Year of survey | ||
| 2003 | Ref | Ref |
| 2008 | 0.63 (0.47–0.83) | 0.72 (0.54–0.97) |
| 2013 | 0.73 (0.54–0.98) | 0.79 (0.58–1.06) |
| Geographical region | ||
| South South | Ref | Ref |
| North East | 7.34 (5.41–9.97) | 4.77 (3.41–6.66) |
| North West | 5.38 (4.21–6.89) | 3.31 (2.50–4.39) |
| South East | 2.32 (1.71–3.14) | 2.53 (1.83–3.48) |
| South West | 2.11 (1.61–2.78) | 1.98 (1.48–2.65) |
| North Central | 1.90 (1.43–2.52) | 1.47 (1.11–1.95) |
| Residence type | ||
| Urban | Ref | |
| Rural | 1.80 (1.54–2.10) | |
| Household wealth index | ||
| Poor | Ref | |
| Middle | 0.64 (0.55–0.74) | |
| Rich | 0.36 (0.30–0.43) | |
| Mother’s education | ||
| Secondary or higher | Ref | Ref |
| Primary | 1.44 (1.22–1.71) | 1.13 (0.94–1.37) |
| No education | 3.20 (2.72–3.75) | 1.65 (1.33–2.03) |
| Father’s education | ||
| Secondary or higher | Ref | |
| Primary | 1.51 (1.28–1.78) | |
| No education | 2.86 (2.45–3.35) | |
| Mother’s working status | ||
| Not working | Ref | Ref |
| Working | 0.91 (0.80–1.03) | 1.26 (1.10–1.44) |
| Mother’s age | ||
| 35–49 | Ref | Ref |
| 15–24 | 1.17 (0.99–1.38) | 1.31 (1.04–1.64) |
| 25–34 | 0.83 (0.71–0.97) | 1.02 (0.86–1.21) |
| Mother’s perceived baby size | ||
| Small | Ref | |
| Average | 0.92 (0.78–1.10) | |
| Large | 0.66 (0.55–0.79) | |
| Sex | ||
| Male | Ref | |
| Female | 0.92 (0.82–1.03) | |
| Birth order | ||
| 2 to 4 | Ref | Ref |
| 1 to 3 | 1.22 (1.03–1.44) | 1.25 (1.03–1.52) |
| ≥5 | 1.52 (1.33–1.73) | 1.18 (1.00–1.39) |
| Birth interval (months) | ||
| No previous birth | Ref | |
| <24 | 0.90 (0.72–1.14) | |
| ≥24 | 1.00 (0.85–1.17) | |
| Place of birth | ||
| Health facility | Ref | Ref |
| Home | 2.62 (2.29–3.01) | 1.45 (1.23–1.71) |
| Mode of delivery | ||
| Non-caesarean | Ref | Ref |
| Caesarean | 0.91 (0.58–1.43) | 1.91 (1.17–3.13) |
| Antenatal visit | ||
| None | Ref | |
| 1 to 3 | 0.77 (0.63–0.94) | |
| ≥4 | 0.48 (0.42–0.56) | |
| Delivery assistance | ||
| Health professional | Ref | |
| Traditional birth attendance (TBA) | 2.64 (2.19–3.19) | |
| other unskilled worker | 2.18 (1.86–2.55) | |
| No one | 2.71 (2.23–3.30) | |
| Reading magazine or newspaper | ||
| At least once a week | Ref | |
| Less than once a week | 1.23 (0.89–1.70) | |
| Never | 2.43 (1.88–3.15) | |
| Listening to radio | ||
| At least once a week | Ref | |
| Less than once a week | 0.99 (0.83–1.19) | |
| Never | 1.64 (1.39–1.93) | |
| Watching television | ||
| At least once a week | Ref | |
| Less than once a week | 1.12 (0.90–1.38) | |
| Never | 2.22 (1.87–2.64) | |
^: Independent variables adjusted for: year of survey, geopolitical zone, place of residence, wealth index, mother’s (education, work status, age), father’s education, child’s gender, perceived baby size by mother’s, birth order, birth interval, place of birth, mode of delivery, antenatal visit, delivery assistance, reading magazine or newspaper, listening to radio, and watching television. *: Missing values were not included in the analysis.
© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
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Agho, K.E.; Ogeleka, P.; Ogbo, F.A.; Ezeh, O.K.; Eastwood, J.; Page, A. Trends and Predictors of Prelacteal Feeding Practices in Nigeria (2003–2013). Nutrients 2016, 8, 462. https://doi.org/10.3390/nu8080462
AMA Style
Agho KE, Ogeleka P, Ogbo FA, Ezeh OK, Eastwood J, Page A. Trends and Predictors of Prelacteal Feeding Practices in Nigeria (2003–2013). Nutrients. 2016; 8(8):462. https://doi.org/10.3390/nu8080462
Chicago/Turabian StyleAgho, Kingsley E., Pascal Ogeleka, Felix A. Ogbo, Osita K. Ezeh, John Eastwood, and Andrew Page. 2016. "Trends and Predictors of Prelacteal Feeding Practices in Nigeria (2003–2013)" Nutrients 8, no. 8: 462. https://doi.org/10.3390/nu8080462
APA StyleAgho, K. E., Ogeleka, P., Ogbo, F. A., Ezeh, O. K., Eastwood, J., & Page, A. (2016). Trends and Predictors of Prelacteal Feeding Practices in Nigeria (2003–2013). Nutrients, 8(8), 462. https://doi.org/10.3390/nu8080462
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