Covariates of child mortality in Mali: does the health-seeking behaviour of the mother matter?

This paper uses data from the 1995/96 Mali DHS survey to examine the importance of a wide range of socioeconomic, behavioural and biodemographic factors in the determination of child mortality in Mali, with a special focus on maternal education and behaviour. The central hypothesis of the study is that advances in maternal education would contribute little to child survival in settings such as Mali's urban and rural communities where progress in educational attainment is not matched with improvements in other aspects of socioeconomic development such as economic growth, job creation, financial security and public health and medical resources. Units of analysis are children born in the past 5 years to DHS respondents (women aged 15-45) who were married at the time of the survey. The Cox proportional hazards regression technique has been used to estimate the net effects of variables included as covariates. The findings indicate that the health-seeking behaviour of the mother matters more than maternal education in explaining the observed differences in infant and child mortality in Mali's urban and rural areas.     

Changing determinants of infant and child mortality: on the basis of the Korean experience, 1955-73

Data from the 1974 Korean National Fertility Survey were analyzed to learn more about the main determinants of infant and child mortality in the course of mortality decline and how they change. In the Korean survey, about 5000 eligible women were selected for the individual survey and the sample design aimed at a self-weighting nationally representative and probability sample. Preliminary analysis showed clear mortality differentials between different socioeconomic levels and between demographic subgroups in infant and child mortality during the period 1955-73 in Korea. To examine the net effect of each variable on mortality, the logit-linear model was used. A table shows the probability level of 4 variables -- maternal age, birth order, mother's education, and number of rooms used by household -- in Korea, when the effects of others were controlled. In the urban areas, only the socioeconomic factors were the main determinants of infant mortality on all the birth cohorts. Mother's education and number of rooms used strongly affected infant mortality in the 1955-59 and 1960-64 birth cohorts, but the effects became weaker in the 1965-69 and 1970-73 birth cohorts, and their statistical significance was reduced. In the rural areas, the effects of 3 variables -- the exception being number of rooms used -- on infant mortality were statistically significant. It is concluded that the main determinants of infant mortality in urban areas were socioeconomic factors. The main determinants of infant mortality in the rural areas were demographic in the earlier birth cohorts, but in the recent birth cohorts mother's education, a socioeconomic factor, became the main determinant while the effects of demographic variables became weaker and finally disappeared. The change in the determinants of child mortality appears to be the reverse of that for infant mortality. Prior to the introduction of the national development program, in the rural areas mother's education was the main determinant of child mortality (rural 1955-59 cohort), but with the socioeconomic development the determinants changed to give dominance to demographic factors (urban 1955-59) cohort and, in the recent period, even the effects of demographic factors on child mortality became weaker (urban 1960-69 cohort). When the differences in living status by maternal age were weaker and the competition among siblings less because of small family size, only the socioeconomic variables remained as main determinants affecting child mortality.     

Teenage motherhood and infant mortality in Bangladesh: maternal age-dependent effect of parity one

Nuptiality norms in rural Bangladesh favour birth during the teenage years. An appreciable proportion of teenage births are, in fact, second births. This study examines the relationship between teenage fertility and high infant mortality. It is hypothesized that if physiological immaturity is responsible, then the younger the mother, the higher would be the mortality risk, and the effect of mother's 'teenage' on mortality in infancy, particularly in the neonatal period, would be higher for the second than the first births. Vital events recorded by the longitudinal demographic surveillance system in Matlab, Bangladesh, in 1990-92 were used. Logistic regression was used to estimate the effects on early and late neonatal (0-3 days and 4-28 days respectively) and post-neonatal mortality of the following variables: mother's age at birth, parity, education and religion, sex of the child, household economic status and exposure to a health intervention programme. The younger the mother, the higher were the odds of her child dying as a neonate, and the odds were higher for second children than first children of teenage mothers. First-born children were at higher odds of dying in infancy than second births if mothers were in their twenties. Unfavourable mother's socioeconomic conditions were weakly, but significantly, associated with higher odds of dying during late neonatal and post-neonatal periods. The results suggest that physical immaturity may be of major importance in determining the relationship between teenage fertility and high neonatal mortality.     

Association of household demographic variables with child mortality in Côte d'Ivoire

The associations between household demographic variables and mortality of children aged less than five years were investigated using data from the 1998 Demographic and Health Survey (DHS) of the Republic of C?te d'Ivoire, Western Africa. Of the total of 1992 children born to women included in the study population during the 5-year period preceding the survey, 260 (13%) had died and 1732 (87%) were alive at the time of the survey. Logistic regression analyses used to compare biosocial variables between the deceased and living children showed that the sex of the child, birth interval and mother's occupation were associated with child's survival status. After adjusting for their effects, household demographic variables (i.e. number of household members, number of household members under 5 years [HM-5Y], number of household members 5 years or older [HM+5Y], the proportion of HM-5Y among all household members, and the ratio of HM-5Y to HM+5Y) were shown to be associated with the child's survival status. This study provided insight into the effects of intra-household competition among children and availability of care-givers as potential determinants of child survival. The results indicate that improvement of the childcare environment and reproductive intervention are necessary to reduce child mortality in West African countries.     

Infant and child mortality in Bangladesh

Socioeconomic differences and trends in infant and child mortality in Bangladesh are examined using data from the 1975 World Fertility Survey and 1979 Contraceptive Prevalence Survery. There is evidence of some recent decline in infant mortality and child mortality. Logit analysis of infant and child mortality indicates that sociodemographic variables such as mother's education, recent period, or higher birth orders, has significant independent effects upon the reduction of infant and child mortality. Other variables such as fetal loss, father's education, or land ownership had no consistent significant effect. On the other hand the effect of urban residence on infant and child mortality was positive after the control of sociodemographic variables. Mere concentration on the supply of modern medical services may bring limited returns unless they are reinforced by appropriate social changes, in particular those affecting the socioeconomic status of women. Educated mothers are likely to belong to higher income households, have better knowledge of how to care for children, and can bring more resources to the care of a sick child.     

Reproductive and socioeconomic determinants of child survival: confounded, interactive, and age-dependent effects.

Studies of infant and child mortality have evolved to distinguish between two sets of explanatory variables-factors related to reproductive or maternal characteristics and socioeconomic factors, generally described as characteristics of the family or household. Almost all multivariate analyses include variables from each of these two sets, but there has been little consideration of the relationship between them. We examine how these two sets of variables jointly affect mortality. We test first for confounded effects by examining socioeconomic effects while excluding and then including reproductive variables in nested multivariate models. Next, we look for age-dependent effects among the explanatory variables and find that reproductive and socioeconomic factors affect mortality at differing ages of children. Finally, we examine interactive effects of the two sets of variables. We conclude that the higher mortality observed among the low status groups is not a result of greater concentration of poor reproductive patterns in those groups. Instead, higher status groups probably have more resources available for combating the negative effects of the same high-risk reproductive patterns.     

Infant and early childhood mortality in the Sine-Saloum region of Senegal

Infant and early childhood mortality in Senegal's Sine-Saloum region was investigated through use o f data from a 1982-83 family health survey. The survey involved interviews with 1894 married women 15-44 years of age living in extended family residential units in rural areas. Given evidence of substantial underreporting of early deaths, at least among children born before 1980, an adjustment factor was applied to the survey data. Infant mortality was estimated to be about 113/1000 live births and mortality before age 5 years was 263/1000. Strong mortality differentials, particularly after infancy, were noted according to the 2 socioeconomic variables included in the analysis: type of house and father's occupation. The probability of dying at ages 1-4 years was 50% higher among children living in traditional homes than among those in modern homes as well as among children whose fathers' were engaged in primary sector occupations (farming, livestock, fishing). Infant mortality showed no sex differential, while mortality at ages 1-4 years was 18% higher among females. Diarrheal and respiratory diseases were the 2 leading causes of death, killing at least 15% of all children by 5 years of age. Tetanus was an important cause of death during infancy, while measles and malaria were significant causes only after the 1st birthday. For all causes of death, the effect of socioeconomic status is higher in early childhood than in infancy, presumably because of the protective effect of breastfeeding. 82% of children who died had fever during their terminal illness, 51% had diarrhea, 39% had a cough, and 14% a rash. At least some mortality in this area might be prevented through treatment of these symptoms. However, calculating the degree to which particular interventions such as oral rehydration for diarrhea would reduce mortality is a complex task, requiring knowledge of replacement mortality, effectiveness of interventions, and the numbers of mothers who would utilize them.     

Reproductive and socioeconomic determinants of child survival: Confounded,interactive, and age‐dependent effects

Abstract

Studies of infant and child mortality have evolved to distinguish between two sets of explanatory variables—factors related to reproductive or maternal characteristics and socioeconomic factors, generally described as characteristics of the family or household. Almost all multivariate analyses include variables from each of these two sets, but there has been little consideration of the relationship between them. We examine how these two sets of variables jointly affect mortality. We test first for confounded effects by examining socioeconomic effects while excluding and then including reproductive variables in nested multivariate models. Next, we look for age‐dependent effects among the explanatory variables and find that reproductive and socioeconomic factors affect mortality at differing ages of children. Finally, we examine interactive effects of the two sets of variables. We conclude that the higher mortality observed among the low status groups is not a result of greater concentration of poor reproductive patterns in those groups. Instead, higher status groups probably have more resources available for combating the negative effects of the same high‐risk reproductive patterns.     

Sibling mortality correlation in Kenya

This paper examines whether infant and child mortality risks among successive siblings are closely correlated, and if so, whether the survival status of the preceding child is an important factor affecting infant and child mortality in Kenya. The data were drawn from the 1988/89 Kenya Demographic and Health Survey. Logistic regression was used as the major method of data analysis. The results show that both infant and child mortality rates are significantly higher among subsequent children whose preceding siblings had died in infancy than for those whose preceding sibling had survived through infancy. The effect of the survival status of the preceding child on infant mortality was statistically strong, even after a large number of control variables were taken into account. However, its effect on child mortality appears to be spurious since it was rendered statistically insignificant when just a few control variables were introduced into the analysis. The results provide empirical evidence that infant and child mortality risks among successive siblings are closely correlated in Kenyan families, and that the effect of the survival status of the preceding child is important in determining infant mortality but not child mortality.     

Multivariate analysis of infant and child mortality in Java and Bali

The data used in this analysis come from the 1976 Indonesian Fertility Survey, part of the World Fertility Survey. The data are examined 3 times, fitting them to models which include different combinations of independent variables. The dependent variables are: 1) the proportion of children born between 5 and 15 years before the survey who died before their 1st birthday, for infant mortality; and 2) among those alive on their 1st birthday, the proportions who died before reaching their 5th birthday, for child mortality. The figures indicate that the chance of dying for children who were 1st born, born shortly after a previous child, whose previous sibling had died, who lived in rural areas, or had parents who were young and with little education, was greater than for children without these characteristics. In all 3 models used, the greatest net effects are attributed to the survival of a preceding sibling or the length of the preceding interval. Birth order does not have a significant gross effect on infant mortality, but the net effects are significant because of the control on maternal age. Education of both parents has significant effects, but these are overshadowed in magnitude by the demographic variables. Maternal education has a greater influence in determining differences in child mortality than was found for infant mortality. Father's education also has a significant independent effect, but mainly for 1st births. It is uncertain whether these variables are measuring the effect of schooling as such, or other characteristics such as economic status or various social roles adopted by people with different levels of education. The variables distinguishing urban from rural status shows significant gross effects which are greatly reduced when controls for other variables are introduced in the model which includes all births. That is to say, the difference in the survival chances of a child in the city is more a function of the education of its parents, and the associated demographic variables than city residence as such. Access to medical services is quite probably the main element in these differences. The findings are weakened to some extent by the lack of satisfactory data on household economic status which might have provided a better base for indirectly discerning the effects of nutrition and sanitation on mortality at young ages.     

Effect of infant mortality on subsequent fertility in Pakistan and Sri Lanka

This study used data from the 1975 World Fertility Surveys in Pakistan and Sri Lanka to examine the association between fertility and infant mortality. A positive association between the mean number of children ever born and the number of child deaths was found in both rural and urban areas of each country. In Pakistan, women with no child loss had 3.3 children ever born while those who lost 1 child had 4.7 children; in Sri Lanka the figures were 3.5 and 5.4 children, respectively. However, child replacement was much less marked when controls were introduced for demographic and socioeconomic factors. When deaths at specific parities were examined, and age and time since previous birth were controlled, child replacement at the 1st parity was reduced to .3 in Pakistan and .2 in Sri Lanka. Further control for a series of socioeconomic factors (e.g. husband's level of education, husband's occupation, household structure, religion, standard of living) reduced the child replacement ratio to .2 children in Pakistan and zero in Sri Lanka. Replacement was slightly more pronounced when there were fewer surviving male children. This analysis suggests that the relationship between infant mortality and fertility is complex. A possibility that could not be explored in this study is that variation in fertilitty may itself be responsible for some of the variation in infant mortality.     

Determinants of infant and early childhood mortality in Cameroon: The role of socioeconomic factors,housing characteristics,and immunization status

Abstract

This study examines factors impinging on the survival of children in Cameroon using longitudinal data collected by the United Nations Demographic Training and Research Institute of Yaounde, Cameroon. It deals especially with the role of socioeconomic factors (mother's education, employment, marital status, ethnicity, and household income), housing characteristics (construction materials, power source, source of water supply, extent of crowding), and immunization status on infant and child mortality. Two‐state parametric and nonparametric hazards models for the risk of death at any time within the course of the study are used, with and without accounting for unmeasured heterogeneity. Overall, overcrowding has robust deleterious effects on infant and child survival. As regards the effects of socioeconomic variables, the robustness of the effects of household income and ethnic differentials are unchanged, even after controlling for unmeasured heterogeneity; the deleterious effects of marital status are also apparent, but these effects are largely explained by unmeasured covariates. The data also suggest that the protective effects of full immunization status are robust and not contaminated by confounding factors, at least in the first 16 months of life. These findings provide solid ground to support immunization programs and efforts as a means to reduce significantly infant and child mortality.     

What has faith got to do with it? Religion and child survival in Ghana

Using pooled children data from the 1998 and 2003 Ghana Demographic and Health Surveys, this study examines religious differences in child survival in Ghana. Guided by the particularized theology and selectivity theses, a piecewise constant hazard model with gamma-shared frailty is used to explore if there are denominational differences in child mortality, and whether these could be explained through other characteristics. At the bivariate level, children whose mothers identified as Muslim and Traditional were found to have a significantly higher risk of death compared with their counterparts whose mothers identified as Christians. In the multivariate models, however, the religious differences disappeared after the mediating and confounding influence of socioeconomic factors were controlled. The findings provide support for the selectivity hypothesis, which is based on the notion that religious variations mainly reflect differential access to social and human capital rather than religious theology per se.     

Correlation of parental socioeconomic status indicators with morphological and motor dimensions of preschool children

Measuring instruments for assessment of parental socioeconomic status, anthropometric characteristics and motor abilities were used in a sample of 643 preschool children aged 4-6 years and their parents, recruited from preschool institutions in several towns in Voivodina, Serbia. The aim was to analyze the correlation of parental socioeconomic status indicators with morphological and motor dimensions of preschool children. Study results showed the socioeconomic status of the children's families to be relatively homogeneous, with no statistically significant differences in any of the socioeconomic status indicators between families with male and female children. Male and female children differed significantly in the overall space of anthropometric and motor variables, and to a lesser extent in individual variables. The general morphological factor treated as the children's growth and development, and general motor factor were qualitatively comparable. The correlations of socioeconomic factor with general morphological and motor factors of the children were not statistically significant, with the exception of motor factor in 6-year-old male children, at elementary school enrolment. Study results suggested the differences in biological growth and development and motor development recorded in preschool children from Voivodina, Serbia, to be attributable to hereditary factor rather than socioeconomic and environmental factors. Inclusion of older children and use of more socioeconomic status indicators along with some additional indicators should probably yield more reliable results on the issue.     

Socioeconomic, demographic and environmental determinants of infant mortality in Nepal

The Nepal Fertility and Family Planning Survey of 1986 demonstrated that demographic variables, previous birth interval and survival of preceding child, still predominated as determinants of infant mortality, particularly in rural areas of Nepal. However, in urban Nepal, where the level of socioeconomic development is higher, an environmental variable, along with previous birth interval and survival of preceding child emerges as important in determining infant mortality. Separate policy measures for child survival prospects in rural and urban Nepal are suggested.     

Decomposing socioeconomic inequalities in childhood obesity: Evidence from Ireland

The objective of this paper is to quantify and decompose the socioeconomic gradient in childhood obesity in the Republic of Ireland. The analysis is performed using data from the first wave of the Growing Up in Ireland survey, a nationally representative survey of 8568 nine-year-old children conducted in 2007 and 2008. We estimate concentration indices to quantify the extent of the socioeconomic gradient in childhood obesity and undertake a subsequent decomposition analysis to pinpoint the key factors underpinning the observed inequalities. Overall the results confirm a strong socioeconomic gradient in childhood obesity in the Republic of Ireland. Concentration indices of obesity (CI = −0.168) and overweight/obese (CI = −0.057) show that the gradient is more pronounced in obese children, while results from the decomposition analysis suggest that the majority of the inequality in childhood obesity is explained by parental level variables. Our findings suggest that addressing childhood obesity inequalities requires coordinated policy responses at both the child and parental level.     

Differences in nutritional status between rural and urban Yucatec Maya children: The importance of early life conditions

Early-life conditions shape childhood growth and are affected by urbanization and the nutritional transition. To investigate how early-life conditions (across the “first” and “second” 1000 days) are associated with rural and urban children's nutritional status, we analyzed anthropometric data from Maya children in Yucatan, Mexico. We collected weight, height and triceps skinfold measures, then computed body mass and fat mass indices (BMI/FMI), in a cross-sectional sample of 6-year-olds (urban n = 72, rural n = 66). Demographic, socioeconomic and early-life variables (birthweight/mode, rural/urban residence, household crowding) were collected by maternal interview. We statistically analyzed rural-urban differences in demographic, socioeconomic, early-life, and anthropometric variables, then created linear mixed models to evaluate associations between early-life variables and child anthropometric outcomes. Two-way interactions were tested between early-life variables and child sex, and between early-life variables and rural-urban residence. Results showed that rural children were shorter-statured, with lower overweight/obesity and cesarean delivery rates, compared to urban children. Household crowding was a negative predictor of anthropometric outcomes; the strongest effect was in boys and in urban children. Birthweight positively predicted anthropometric outcomes, especially weight/BMI. Birth mode was positively (not statistically) associated with any anthropometric outcome. Cesarean delivery was more common in boys than in girls, and predicted increased height in urban boys. In conclusion, urbanization and household crowding were the most powerful predictors of Maya 6-year-old anthropometry. The negative effects of crowding may disproportionately affect Maya boys versus girls and urban versus rural children. Early-life conditions shape Maya children's nutritional status both in the “first” and “second” 1000 days.     

Causes of Early Childhood Deaths in Urban Dhaka,Bangladesh

Data on causes of early childhood death from low-income urban areas are limited. The nationally representative Bangladesh Demographic and Health Survey 2007 estimates 65 children died per 1,000 live births. We investigated rates and causes of under-five deaths in an urban community near two large pediatric hospitals in Dhaka, Bangladesh and evaluated the impact of different recall periods. We conducted a survey in 2006 for 6971 households and a follow up survey in 2007 among eligible remaining households or replacement households. The initial survey collected information for all children under five years old who died in the previous year; the follow up survey on child deaths in the preceding five years. We compared mortality rates based on 1-year recall to the 4 years preceding the most recent 1 year. The initial survey identified 58 deaths among children <5 years in the preceding year. The follow up survey identified a mean 53 deaths per year in the preceding five years (SD±7.3). Under-five mortality rate was 34 and neonatal mortality was 15 per thousand live births during 2006–2007. The leading cause of under-five death was respiratory infections (22%). The mortality rates among children under 4 years old for the two time periods (most recent 1-year recall and the 4 years preceding the most recent 1 year) were similar (36 versus 32). The child mortality in urban Dhaka was substantially lower than the national rate. Mortality rates were not affected by recall periods between 1 and 5 years.     

Housing quality and child mortality in the rural Philippines

Factors influencing child survival to age 5 are investigated for a rural sample in lloilo Province, Philippines. Considered are construction materials in walls, doors, windows, and floors and the typpes of toilet facilities. 707 women were asked how many children they had borne alive; the sexes and dates of each live birth; whether each child was still living; and if not at what age the child had died. This study focused retrospectively on mortality among 2359 children born between 1960 and 1973. About 4.9% had died before age 5. This is 1/2 of what was observed nationally for rural children in the 1978 fertility survey. Health conditions in rural Iloilo Province may have been more favorable than in other rural parts of the nation. Income generated from shipping, lumbering, and fish culture may have also contributed to the lower rate of child mortality observed in this sample. The sex ratio of the children was 102, well within the range regarded as typical. A logit regression was employed. Of the 207 girls with low demographic risk and worse quality housing, 249 were estimated to survive to age 5 and 18 to die before age 5. Sex was not an important factor in child mortality. Boys and girls had about equal chances of surviving. A social-demographic risk factor commonly linked with infant mortality is breast feeding. Breastfed infants from a number of developing countries have had lower rates of infant mortality. A slightly larger % of nonbreastfed children (96.9%) survived to age 5 than did breastfed children. Living in a poorly constructed dwelling reduced the odds of a child's survival. Estimates from the Brass method showed that the expected probability of children dying before age 5 was .073 and .035, representing life expectancies at birth of 63.4 and 69.9 years.     

Consanguineous marriage and reproduction in Beirut, Lebanon.

Effects of consanguineous marriages on couples' fertility and on offspring mortality were investigated in Beirut through a population-based health survey of 2,752 households. A multistage random sampling procedure was used, and information was obtained from all ever-married women in the household about their reproductive performance and genealogical relationship with spouse; demographic and socioeconomic information was also recorded. Twenty-five percent of all marriages were between relatives, and the spouses were first cousins in approximately 57% of all consanguineous marriages. Total pregnancies, live births, and living children were significantly higher among consanguineous couples than among nonconsanguineous ones, as was the proportion dead among children ever born. However, no difference remained in either fertility or mortality, when allowance was made for socioeconomic status, religious affiliation, and marriage duration. The issue of confounding is discussed, and the lack of significant pattern in the final analysis is interpreted as resulting from a long-term practice of consanguineous marriages.