Impact of mothers’ socio-demographic factors and antenatal clinic attendance on neonatal mortality in Nigeria

Fasina, Fagbeminiyi; Oni, Gbolahan A.; Azuh, Dominic E.; Oduaran, Akpovire

doi:10.1080/23311886.2020.1747328

Cited by 14 publications

(16 citation statements)

References 26 publications

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“…The inverse relationship between ANC and both maternal and neonatal deaths shown in this study is consistent with other studies. 2,22,23,24,1 Though these studies were conducted at different times results are still consistent with the present study. This is evident that ANC is an important factor in the reduction of both maternal and neonatal mortalities.…”

Section: Discussionsupporting

confidence: 92%

Factors Affecting Maternal and Neonatal Mortality in Northern Nigeria: A Multiple Linear Regression Analysis

Orjingene¹,

Teryila

Baffoe³

et al. 2022

Preprint

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Nigeria has a maternal mortality rate (MMR) of 512 deaths per 100,000 live births, an estimate which indicates that maternal deaths are responsible for about a third of all deaths among women of reproductive age. The regional distribution of neonatal deaths in Nigeria showed that the North East region had the highest neonatal deaths. This study provides insight into identified factors and their influence on maternal and neonatal mortalities. Targeted policy implementation will emerge from the analysis of these factors with the aim of reducing the mortalities which will invariably contribute to the reduction of the global maternal and newborn mortality index Multiple linear regression analyses using secondary time series data from the district health information system (DHIS2) for the period 2012-2021. Multivariable logistic regression analyses were also used to examine a series of predictor variables to determine those that best predict the outcome variables. Statistical significance for all regressions performed was determined Regression results showed a negative relationship between antenatal care and neonatal mortality implying that an increase in the number of women attending ANC will lead to a reduction in neonatal mortality by about 43% The regression result showed a positive relationship between low birth weight and neonatal mortality implying that an increase in the number of live births with low birth weight will lead to an increase in neonatal mortality by 94%. Regression analysis on factors affecting maternal mortality showed that 4th antenatal care visits and above, health facility delivery, postnatal care within 3 days for mothers, and skilled birth attendance all have a negative relationship with maternal mortality. The regression results are all statistically significant (p<0.05). The study revealed significant relationships between some factors (antenatal care, low birth weight, skilled birth attendants, health facility delivery, post-natal care for both mother and newborn) affecting maternal and neonatal mortality.

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Section: Discussionsupporting

confidence: 92%

Factors Affecting Maternal and Neonatal Mortality in Northern Nigeria: A Multiple Linear Regression Analysis

Orjingene¹,

Teryila

Baffoe³

et al. 2022

Preprint

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“…There are two distinct seasons in the state namely, the rainy season and the dry season and in terms of farming activities, the state is well known for livestock and cocoa production. Fasina et al (2020) revealed that the death of newborn babies resulting from malnutrition and neonatal mortality is very high in the state. There is poor access to quality education and health care facilities especially among the rural farm households.…”

Section: Study Areamentioning

confidence: 99%

Does women’s intra-household bargaining power have effect on child welfare? Evidence from farm households in Ogun state, Nigeria

Adekunle

Alori

Kutu

2021

AAS

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<p>This study examines whether greater women’s household bargaining power is associated with the improvement in children’s welfare in Ogun State, Nigeria. Using data from 320 farm households with a Logit regression model, the study revealed that 31.86 % of children under-five years of age were stunted, 32 % were underweight and 16.2 % were wasted. Children growing up healthy were 62 %, implying that one – third of under-five children in the study area still experience nutrition deficiency. About 3.33 % and 1.05 % children simultaneously experienced stunting and wasting together, which perhaps suggests a harsh deprivation environment. In addition, 63.33 % of women in the study area had low bargaining power implying that they lack control over important decisions in their households. Women who enjoy decision-making power in their households, particularly with large purchasing power, are associated with having children with better height-for-age, mass-for-age, and mass-for-height ratios. Women’s inequality as relates to intra-household bargaining power negatively affects children’s welfare and leads to chronic malnutrition. As a policy recommendation, it is therefore, important to enhance women’s status, which, with time will lead to more investment in their children’s education, health, and overall welfare.</p>

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“…Their findings showed education level, source of water supply type of household toilet facility and household waste disposal practices as significant factors on mortality rate. Other researchers pointed region, residence, age, educational level and wealth status as significant variables related to infant mortality rate in Nigeria Fasina et al (2020) and Shobiye et al (2022). Diseases causing child mortality have connections with hygiene condition and unclean environment these are not limited to dirty feeding bottles, utensils, inadequate disposal of household refuse, poor storage water, to mention but few Jinadu andFabiyi (1991) andNBS (2011).…”

Section: Introductionmentioning

confidence: 99%

Forecasting Infant Mortality Rate using Exponential Smoothing and Moving Averages Techniques

Madaki

Adamu

Muhammad

et al. 2023

Gadau J Pure Allied Sci

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Infant Mortality Rates (IMR) are important indicators of health status of any country. This research presents Time Series Analysis using Exponential Smoothing and Moving Averages (MA). Six years data on infant mortality covering 2016 to 2021 was obtained from Yobe State Specialist Hospital Damaturu. We used Single Exponential Smoothing, which at =2, the model showed a smoothed trend of infant mortality over the period of 72 months. A forecast made based on this smoothed trend indicated a constant rate of infant mortality over the period of 8 months with MAPE = 17.9165, MAD = 4.5133 and MSD = 30.2982. We also studied nature of trend using Moving Averages (MA) and forecast made at length = 4 showed a constant rate of forecast over the period of 8 months with MAPE = 19.3504, MAD = 4.8377, and MSD = 34.1556. Based on the three accuracy measures, single exponential smoothing method presented a better fit to the data. Highest infant mortality was observed in 2021 with total death of 331 which represents 17.08% of the total deaths.

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Impact of mothers’ socio-demographic factors and antenatal clinic attendance on neonatal mortality in Nigeria

Cited by 14 publications

References 26 publications

Factors Affecting Maternal and Neonatal Mortality in Northern Nigeria: A Multiple Linear Regression Analysis

Factors Affecting Maternal and Neonatal Mortality in Northern Nigeria: A Multiple Linear Regression Analysis

Does women’s intra-household bargaining power have effect on child welfare? Evidence from farm households in Ogun state, Nigeria

Forecasting Infant Mortality Rate using Exponential Smoothing and Moving Averages Techniques

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