Looking at maternal inequalities (socioeconomic class, age and human immunodeficiency virus status) to predict well-being of neonates during infancy

Abstract

Background: Infant health inequalities responsible for high infant sicknesses and deaths in our setting could depend to a large extend on maternal inequalities like socioeconomic class (SEC), age and human immunodeficiency virus (HIV). Objective: To look at maternal inequalities (SEC, Age and HIV), to predict well-being of neonates during infancy. Methods: Subjects were selected using systematic random sampling. Maternal education, occupation, age and HIV status were obtained using a questionnaire; their SEC was derived using the Oyedeji’s model. Gestational age (GA) of the neonates was estimated from their mother’s last menstrual period, obstetric ultrasound scan reports or the Dubowitz criteria; and birthweight (BW) was determined using the basinet weighing scale, which has a sensitivity of 50 grams. Results: Ninety mother-neonatal pairs were enrolled, 47 (52.2%) neonates were males and 43 (47.8%) females. Most of the neonates were term 66 (73.3%) and of normal BW 75 (83.4%). A significant association existed between maternal variables and the likely hood of the subjects being less healthy during infancy (χ2 = 126.528, p < 0.005). Maternal age had a negative correlation coefficient with GA (r = -0.200) and BW (r = -0.115) and comparison of MA, GA and BW was significant (F = 2662.92, p < 0.0001). Conclusion: The combine effects of maternal SEC, Age and HIV have predicted less healthy neonates during infancy. Neonates in the present work are more prone to sicknesses and ill-health during infancy.

Share and Cite:

Ahmadu, B. (2013) Looking at maternal inequalities (socioeconomic class, age and human immunodeficiency virus status) to predict well-being of neonates during infancy. Health, 5, 1-5. doi: 10.4236/health.2013.58A4001.

1. INTRODUCTION

The infant mortality rate in Nigeria is around 98/1000 [1]. Developing countries have 2.4 times higher rate of infant mortality than developed ones [2]. Infant health is influenced by maternal factors such as maternal socioeconomic class (SEC), age and human immunodeficiency (HIV). These factors have enormous public health implications, such as huge medical bills on governments, individuals or health insurance. For instance, the Joint Center for Political and Economic Studies in 2009 reported that medical expenses that included infancy related illnesses costed billions of dollars [3]. Mothers who belong to low SEC are not only more vulnerable to illhealth with high mortality rate; their infants also suffer from diseases that could lead to death. Suthers [4] in 2008 published that hundreds of thousands of children died in infancy from causes that included low maternal SEC. Mothers of low SEC are much prone to social vices like discrimination, isolation which have negative health implications on their infants. More so, Derose and Baker [5] in 2000 found that mothers who cannot communicate effectively have problems utilizing the healthcare services and are more likely to have health needs of their infants like immunization un-attended to.

Maternal age (MA) under thirty has been linked to infant abuses, maltreatment and lack of immunization [6]. Maternal inexperience might be responsible for poor infant health in mothers under thirty years of age. Infants that are HIV exposed are more likely to lose their HIV parents due to medical and socioeconomic inadequacies especially in developing countries like ours. As suchthese infants are more likely to be nurtured in poverty without adequate nutrition, shelter, safe drinking water, health care services, immunization and proper environmental sanitation [1,7]. These factors in our locality constitute a threat to infant’s survival because of high disease burden and deaths that are associated with them.

Vast literature reviews showed dearth of information on the triple effect of maternal SEC, age and HIV to predict well being of neonates during infancy especially in developing countries. More so, no such study has been done in Nigeria to the best of my knowledge. This manuscript aimed at: 1) To determine the contributory roles of maternal SEC, age and HIV on babies well-being during infancy based on rational data; 2) To provide relevant public health information regarding babies health during infancy in Maiduguri, Borno state, North-Eastern Nigeria.

2. MATERIAL AND METHODS

2.1. Study Area

The study was conducted at the Department of Paediatrics and Obstetrics unit of the University of Maiduguri Teaching Hospital, (UMTH), Borno State, Nigeria. Being the largest health facility in the region, the UMTH serves as a referral hospital for six North-Eastern States of Nigeria and neighboring countries of Chad, Cameroon and Niger Republics.

2.2. Ethical Considerations

The present study protocol was reviewed and ethical clearance authorized by the Medical Research and Ethics Committee of the UMTH. All work was performed according to the international guidelines for human experimentation in clinical research [8]. Informed consent from parents was also obtained after explaining the purpose and the objectives of the study. Parents had unlimited liberty to deny consent or opt out of the study without any consequences.

2.3. Sample Size/Subject Selection

The minimum sample size was determined using statistical formula, which computes four percent crude birth rate for Nigeria at 95% confidence interval and alpha levels of 0.05 [1,7,9]. This sum up to 60; but 50% of this was added to maximize power. Therefore, the study population consisted of 90 mother-neonatal pairs. Participation in this study was voluntary and consenting pregnant women were selected using systematic random sampling method where the first of every four pregnant woman was picked as they presented to the labor ward. Where the first did not fulfill the inclusion criteria, the immediate next pregnant woman that qualified was selected. Pregnant women who had their antenatal care, consented to HIV screening and delivered at the UMTH were eligible to participate in this study. Severely sick pregnant women or those who decline consent for the study were excluded.

Maternal education, occupation, age, HIV status was obtained using a questionnaire from antenatal health records and in some instances from the mothers themselves. Maternal SEC was obtained from educational and occupational attainment of a mother using the Oyedeji’s model [10]. Gestational age (GA) of the neonates was determined from their mother’s last menstrual period or obstetric ultrasound scan reports or the Dubowitz criteria [11]. Birthweight (BW) of the neonates was measured using the basinet weighing scale that has a sensitivity of 50 grams. Neonates weighing greater than 3.99 kg were classified as macrosomia, those weighing 2.5 - 3.99 kg as normal and those less than 2.5 kg were low birth weight [12].

2.4. Statistical Analysis

Data were expressed as frequencies; mean (SD) and 95% confidence intervals (CIs). Correlation coefficient of MA with GA and BW was obtained; Chi-square and analysis of variance (ANOVA) were used to investigate categorical and quantitative variables respectively. A p-value <0.05 was considered significant. Tables were used for demonstrations. Statistical package for social science (SPSS) statistical software version 16, Illinois, Chicago USA was used for all analysis.

3. RESULTS

Of a total of 90 mother-neonatal pairs enrolled in this study, 47 (52.2%) neonates were males and 43 (47.8%) were females, and the male to female ratio is 1.09:1. Most of the neonates were term 66 (73.3%) and of normal BW 75 (83.4%) (Table 1). There was significant association between maternal (SEC, Age, HIV) and the likely hood of the neonates being less healthy during infancy (χ2 = 126.528, p < 0.005) (Table 2).

Table 3 below shows mean BW, GA and MA of the study group. The mean BW and GA were normal. Maternal age had negative correlation coefficient with GA (r = −0.200) and BW of neonates (r = −0.115) and mean comparison for MA, GA and BW was significant (F = 2662.92, p < 0.0001).

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] World Health Organization (2006) Country health system fact sheet Nigeria. World Health Organization, Geneva.
[2] The Office of Minority Health (2012) Infant mortality and African Americans. http://minorityhealth.hhs.gov/templates/content.aspx?ID=3021
[3] Joint Center for Political and Economic Studies (2012) The economic burden of health inequalities in the United States. http://www.jointcenter.org/hpi/sites/all/files/Burden_Of_Health_FINAL_0.pdf
[4] Suthers, K. (2012) evaluating the economic causes and consequences of racial and ethnic health disparities. http://www.apha.org/NR/rdonlyres/EF3D92F8-4758-4E49-85A1-D6EB8AD8CA89/0/Econ2_Disparities_Final.pdf
[5] Derose, K.P. and Baker, D.W. (2000) Limited English proficiency and Latinos’ use of physician services. Medical Care Research and Review. http://mcr.sagepub.com/content/57/1/76.full.pdf+html
[6] Pittard, W.B., Laditka, J.N. and Laditka, S.B. (2008) Associations between maternal age and infant health outcomes among medicaid-insured infants in South Carolina: Mediating effects of socioeconomic factors. Pediatrics, 122, 100-106.
[7] UNICEF (2005) The state of the World’s children. UNICEF, New York.
[8] World Medical Association Declaration of Helsinki (2005) Ethical principles for medical research involving human subjects, 2000. World Medical Association. http://www.wma.net/e/policy/b3.htm
[9] Naing, L., Winn, T. and Rusli, B.N. (2006) Practical issues in calculating the sample size for prevalence studies. Archives of Orofacial Sciences, 1, 9-14.
[10] Oyedeji, G.A. (1985) Socio-economic and cultural background of hospitalised children in Illesha. Nigerian Journal of Paediatrics, 12, 111-117.
[11] Dubowitz, L., Dubowitz, V. and Goldberg, C. (1970) Clinical assessment of gestational age in the newborn infant. Journal of Pediatrics, 77, 1-10.
[12] Uche, N. (2007) Assessment and care of the newborn. In: Azubuike, J.C. and Nkanginieme, K.E., Eds. Pediatrics and Child Health in a Tropical Region, 2nd Edition, African Educational Services, Owerri, 163-177.
[13] Eltahir, M.E. and Gerd, S. (2008) The effect of maternal anthropometric characteristics and social factors on gestational age and birth weight in Sudanese newborn infants. BMC Public Health, 8, 244-253.
[14] Williams, D.R. (2012) The health of US racial and ethnic populations.
[15] Braveman, P. and Egerter, S. (2012) Overcoming obstacles to health. http://www.rwjf.org/en/research-publications/find-rwjf-research/2008/02/overcoming-obstacles-to-health.html
[16] Bagge, M.J., Roberts, J.E. and Norr, K.F. (1989) A comparative study of plans for infant care made by adolescent and adult mothers. Journal of Adolescent Health Care, 10, 537-540.
[17] McCarthy, J. and Hardy, J. (1993) Age at first birth. Journal of Research on Adolescence, 3, 373-392.
[18] Joint United Nations Programme on HIV/AIDS, United Nations Children’s Fund and the United States Agency for International Development (2004) Children on the brink 2004: A joint report of new orphan estimates and a framework for action, population, health and nutrition project for USAID. Washington DC.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.