Dynamics of poverty-related dissimilarities in fertility in Nigeria: 2003-2018

Adebowale, Ayo Stephen; Fagbamigbe, Adeniyi Francis; Akinyemi, Joshua O.; Olowolafe, Tubosun Alex; Onwusaka, Obiageli; Adewole, David Ayobami; Sadiku, Sheidu; Palamuleni, Martin E.

doi:10.1016/j.sciaf.2020.e00468

Cited by 9 publications

(14 citation statements)

References 16 publications

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“…This result relates to the fact that low-income families may find it challenging to purchase nutritious food that will increase their intake of nutrients and help them develop immunity to diseases [37]. They may also live in impoverished or densely populated areas [42]] and may have more children than they can reasonably care for [43], which is likely to increase the risk of multimorbidity in children.…”

Section: Discussionmentioning

confidence: 99%

The analysis of risk factors associated with multimorbidity of anaemia, malaria, and malnutrition among children aged 6- 59 months in Nigeria

Obasohan

Walters

Jacques

et al. 2023

Preprint

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In the last ten years multimorbidity in children under the age of five years has becoming an emerging health issue in developing countries. The absence of a proper understanding of the causes, risk factors, and prevention of these new health disorders (multimorbidity) in children is a significant cause for concern, if the sustainable development goal 3 of ensuring healthy lives and the promotion of well-being for all especially in the associated aim of ending preventable deaths of new-borns and children must be achieved by 2030. In the past, most studies conducted in Nigeria and some other least developed nations of the world focused on these multiple diseases by employing conventional analytical techniques to examine them separately as distinct disease entities. But the study of multimorbidity of anaemia, malaria, and malnutrition has not been done, especially in children. This study aims to investigate the multiple overlaps in the impact of individual and contextual variables on the prevalence of multimorbidity among children aged 6 to 59 months in Nigeria. The study used two nationally representative cross-sectional surveys, the 2018 Nigeria Demographic and Health Survey and the 2018 National Human Development Report. A series of multilevel mixed effect ordered logistic regression models were used to investigate the associations between child/parent/household variables (at level 1), community-related variables (at level 2) and area-related variables (at level 3), and the multimorbidity outcome (no disease, one disease only, two or more diseases). The interaction effects between child's sex, age, and household wealth quintiles and the outcome while accounting for some covariates in the model were also investigated. The result shows that 48.3% (4,917/10,184) of the sample of children aged 6-59 months cohabit with two or more of the disease outcomes. Child's sex, age, maternal education, mother’s anaemia status. household wealth quintiles, the proportion of community wealth status, states with high human development index, region, and place of residence, were among the significant predictors of MAMM (p<0.05). There was a significant interaction effect between a child's age and wealth status when some other covariates were accounted for. The prevalence of MAMM observed in the sample is large, with almost half of the children living with two or more of the diseases at the time of the survey and several potentially modifiable risk factors have been identified. If suitable actions are not urgently taken, Nigeria’s ability to actualise the SDG 3 will be in grave danger. Therefore, possible actions to ameliorate this problem include developing and implementing a suitable policy that will pave the way for integrated care models to be developed.

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Section: Discussionmentioning

confidence: 99%

The analysis of risk factors associated with multimorbidity of anaemia, malaria, and malnutrition among children aged 6- 59 months in Nigeria

Obasohan

Walters

Jacques

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The lack of data regarding the potential factors that affect these relationships may lead to insufficient information which may lead to ineffective and inefficient decisions. Having more detailed data such as those that are classified by age groups could be better to have potential focus groups in addressing the issues especially of reproductive health and unemployment such as fertility rate by age group found in the study of Biney et al (2021) and average wealth or income by age group as it was used in the study of Adebowale et al (2020). Since this kind of topic is not yet widely studied in the context of the Philippine.…”

Section: Discussionmentioning

confidence: 99%

“…Based on the empirical studies, the total fertility rate is the most utilized outcome variable. It gives utterly figures about the average number of children a woman would have if she survives all her childbearing years (Hassan & Mahabir, 2018;Adebowale et al, 2020). The studies mentioned earlier that the unemployment rate is the widely used explanatory variable to determine the correlation between unemployment and fertility.…”

Section: Reproductive Health Law and Fertilitymentioning

confidence: 99%

Female Unemployment Rate on Fertility Rate in Relation to Reproductive Health Law in the Philippines: A Multivariate Analysis

Cabauatan¹,

Alvarez

Miranda

et al. 2022

JCIA

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The population of the Philippines continues to grow over the years, which leads to different economic concerns. The aim of this study is to determine the significance of the Reproductive Health Law and female unemployment rate on fertility rate in the country. Most studies imply a negative relationship between female unemployment rate, GNI per capita, registered marriages, and reproductive health programs on fertility rate. The result of these studies adheres to the author’s claim that there is a negative relationship among variables. A quantitative research design was used in this study. The used of multiple regression analysis examined the relationship of each explanatory variable to fertility rate based on the data gathered from 1980 to 2020. Results show that RH Law has a negative relationship on fertility rate, while unemployment rate has a positive relationship on fertility rate. This indicates that fertility rate declines because of the implementation of the RH Law that will result to slowdown the increase in population.

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“…Nigeria's population is estimated at 216 million on January 1, 2022, and the country will be the fourth most populous in the world in 2050, next to India, China, and the United States (United Nations, Department of Economic and Social Affairs, Population Division, 2022). Although the country's gross domestic product (US$432.3 billion) is the largest in Africa (The World Bank, 2021), 82.9 million of her population are considered poor by national standards (National Bureau of Statistics (NBS), 2020) Among other factors, the high level of poverty is partly attributed to large and growing population, due to persistent high fertility (Adebowale, Fagbamigbe, Akinyemi, et al, 2020;Bongaarts, 2001;United Nations, Department of Economic and Social Affairs, Population Division, 2022).…”

Section: Introductionmentioning

confidence: 99%

Family size preferences among women in a union in Nigeria and associated factors

Ntoimo¹

2022

IJPS

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Nigeria’s population is currently estimated at 216million and the country will be the third most populous in the world in 2050. A major driver of the high population growth is persistent high fertility. This study examined women’s fertility preferences, which was measured with ideal family size (IFS) and the associated factors. Data were obtained from the 2018 Nigeria Demographic and Health Survey. The analysis consisted of a weighted sample of 13, 673 women in union, aged 15–49 years whose first marriage took place within 10 years before the survey. Descriptive and multinomial logistic regression analyses were conducted. The proportion of respondents whose IFS was 5+ was 65%. Slightly above one-quarter had IFS of four children, and 11% had IFS of 0 – 3. IFS of 5+ was significantly associated with women resident in the Northern and Southeast regions, rural residents, Muslims, women who had no education, women working in agriculture, sales/service jobs, those who participated in one or two out of four household decisions, justified wife beating, have 5+ siblings, experienced child death, and married before age 20. Efforts to achieve the target reduction in total fertility rate in Nigeria should be multi-sectoral targeting these subpopulations of women.

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Dynamics of poverty-related dissimilarities in fertility in Nigeria: 2003-2018

Cited by 9 publications

References 16 publications

The analysis of risk factors associated with multimorbidity of anaemia, malaria, and malnutrition among children aged 6- 59 months in Nigeria

The analysis of risk factors associated with multimorbidity of anaemia, malaria, and malnutrition among children aged 6- 59 months in Nigeria

Female Unemployment Rate on Fertility Rate in Relation to Reproductive Health Law in the Philippines: A Multivariate Analysis

Family size preferences among women in a union in Nigeria and associated factors

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