Mother’s,Household, and Community U.S. Migration Experience and Infant Mortality in Rural and Urban Mexico

This study explores rural and urban differences in the relationship between U.S. migration experience measured at the individual, household, and community levels and individual-level infant mortality outcomes in a national sample of recent births in Mexico. Using 2000 Mexican Census data and multi-level regression models, we find that women’s own U.S. migration experience is associated with lower odds of infant mortality in both rural and urban Mexico, possibly reflecting a process of healthy migrant selectivity. Household migration has mixed blessings for infant health in rural places: remittances are beneficial for infant survival, but recent out-migration is disruptive. Recent community-level migration experience is not significantly associated with infant mortality overall, although in rural places, there is some evidence that higher levels of community migration are associated with lower infant mortality. Household- and community-level migration have no relationship with infant mortality in urban places. Thus, international migration is associated with infant outcomes in Mexico in fairly complex ways, and the relationships are expressed most profoundly in rural areas of Mexico.

Accounting for Cross-National Differences in Infant Mortality Decline (1965–1991) among less Developed Countries: Effects of Women's Status,Economic Dependency,and State Strength

The present study tests models derived from four theoretical perspectives: Modernization/free trade theory, gender inequality theory, developmental state theory, and dependency theory. It is based on a sample of 82 less developed countries for the period from 1965 to 1991. We find some support for each theoretical perspective. Foreign trade, investment, and debt dependency have adverse effects on infant mortality, mediated by variables linked to modernization/free trade theory and gender inequality theory. State strength has a beneficial direct effect on infant mortality decline. Women's education and reproductive autonomy have significant direct effects, but also play important roles as mediating variables as does rate of economic growth.     

International Migration and Human Development in Destination Countries: A Cross-National Analysis of Less-Developed Countries, 1970–2005

Contemporary levels of international migration in less-developed countries are raising new and important questions regarding the consequences of immigration for human welfare and well-being. However, there is little systematic cross-national evidence of how international migration affects human development levels in migrant-receiving countries in the less-developed world. This paper addresses this gap in the literature by assessing the impact of cumulative international migration flows on the human development index, a composite measure of aggregate well-being. A series of panel models are estimated using a sample of less-developed countries for the period, 1970–2005. The results indicate that higher levels of international migration are associated with lower scores on the human development index, net of controls, but that the effect of international migration is relatively small.     

Rural–Urban Child Height for Age Trajectories and Their Heterogeneous Determinants in Four Developing Countries

The large literature on health differentials between rural and urban areas relies almost exclusively on cross-sectional data. Bringing together the demographic literature on area-level health inequalities with the bio-physiological literature on children’s catch-up growth over time, this paper uses panel data to investigate the stability and origins of rural–urban health differentials. Using data from the Young Lives longitudinal study of child poverty, I present evidence of large level differences but similar trends in rural versus urban children’s height for age in four developing countries. Further, observable characteristics of children’s environment such as their household wealth, mother’s education, and epidemiological environment explain these differentials in most contexts. In Peru, where they do not, children’s birthweight and mothers’ health and other characteristics suggest that initial endowments—even before birth—may play an important role in explaining "residual" rural–urban child height inequalities. These latter results imply that prioritizing maternal nutrition and health is essential—particularly where rural–urban height inequalities are large. Interventions to reduce area-level health inequalities should begin even before birth.     

Sustained Effects of the 1974–5 Famine on Infant and Child Mortality in a Rural Area of Bangladesh

In this paper the sustained effects of the 1974–75 famine on cohort mortality in a rural area of Bangladesh are studied. In the analysis, mortality rates for children born and conceived during the famine are compared with those from a post-famine cohort. In the famine-born cohort, mortality was higher during the first and second years of life, while in the famine-conceived cohort it was higher during the first year and lower during the second compared to the non-famine cohort. No significant differences in mortality by cohort were observed between the ages of 24 and 59 months. Using logistic regression, interactions between famine and socio-demographic characteristics were also studied. Three principal results emerged: first, a differential effect of the famine by socio-economic group was only present during the post-neonatal period for the famine-born cohort; secondly, children aged 12–23 months who were born to younger mothers were more adversely affected by the famine than those born to older mothers; and thirdly, although there was excess mortality for girls aged 24–59 months relative to boys of the same age in the non-famine and famine-conceived cohorts, there was little difference between mortality by sex for the famine-born.     

Socio-economic Differentials in Infant and Child Mortality during Mortality Decline: England and Wales, 1890–1911

In this paper data from the 1911 Census of the Fertility of Marriage of England and Wales are used to study patterns of mortality decline by socio-economic characteristics, principally the occupation of husband. That census reported data on number of wives, children ever born, and children dead by marriage-duration cohorts for 190 non-overlapping occupations of husband. These results, along with those on number of rooms in the dwelling of the family are used to make indirect estimates of childhood mortality using the techniques described in United Nations, Manual X. These procedures produce values of q(a), the probability of dying before reaching some exact age ‘a’. Estimates for q(2), q(3), q(5), q(10), q(15), and q(20) are derived from data on women married 0–4, 5–9, 10–14, 15–19, 20–24, and 25–29 years, respectively. These estimates can also be dated to a point in the past. These values can also be converted to a corresponding level of a Model West life table, which describes the ‘average’ mortality regime which the children of those women experienced. This furnishes a basis to look at mortality decline for various social classes and occupational groups. Ordinary least squares regressions of the levels of Model West life tables implied by the 1(a) values on time give one measure of mortality decline. Another is the absolute amount of the increase in the level of the Model West life tables from marriage-duration cohort 20–24 years to 0–4 years. The aggregate results indicate that social class in England and Wales during the 1890s and 1900s tended to be related to the speed of mortality decline: childhood mortality declined more rapidly in the higher and more privileged social class groups. But the results were neither nearly as strong nor as regular as those which predicted the level of mortality within any marriage-duration cohort. These outcomes are not particularly sensitive to the three different social-class stratification schemes used: the 1911 English Registrar General's classification; the 1951 English Registrar General's classification; and the 1950 U.S. Census classification. There was also a fairly regular and predictable gradient for the number of rooms in the home: child mortality was higher in families who lived in larger dwellings. Analysis of 190 detailed male occupational groups revealed that considerably more of the variation in mortality levels than of trends could be explained by social-class categories. Between 20 and 40 per cent of variation in mortality trend could be accounted for by social class alone, as opposed to 50 to 80 per cent of mortality levels for different marriage-duration cohorts. Results for a more restricted sample of 116 occupations for which income estimates could be made revealed a similar pattern. In addition, income was virtually unrelated to the pattern of mortality decline, and improvement was more rapid in groups who were more urban. This reflects the role of rapidly improving urban sanitation in the late nineteenth and early twentieth centuries in England. In contrast, income was significantly related to childhood morality levels for various marriage-duration cohorts (with higher income associated with lower mortality), while urbanization was inversely correlated with mortality levels (more urban groups experienced higher mortality). Overall, social class (or occupation group), income, and urbanization were more successful in explaining mortality levels than time trends across occupations, although social class and the extent of urbanization did reasonably well in accounting for trends. Over a longer period, the transition in child mortality was under way by the 1890s, but its pace and timing varied in different occupations and social class groupings. Although absolute differences in infant mortality were reduced after about 1911, relative inequality persisted even as infant and child survival improved for all groups.     

Marital Fertility and its Determinants in Rural and in Urban Spain, 1887–1930

Based primarily on census data between 1887 and 1920, the present article explores the basic structure of the social and economic factors that influenced marital fertility levels during the early part of the fertility transition in Spain. Multiple regression analysis is applied to ecological models based on separate rural and urban data. While some of the conclusions from the Princeton European Fertility Project have been corroborated, a number of the results have been quite noteworthy. Not the least of these are the sharply differing structures of causality in rural and urban areas, and the surprising and consistent role played by literacy as a stimulant of marital fertility. In the discussion of the results, we have insisted on the importance of interpreting different demographic, economic, and cultural indicators within concrete historical contexts.     

Reconsidering the Rural–Urban Continuum in Rural Health Research: A Test of Stable Relationships Using Mortality as a Health Measure

Health researchers commonly use existing rural–urban continua based on population size and adjacency to metro areas to categorize counties. When these continua are collapsed into simple rural-versus-urban aggregations, significant differences within the categories are masked. We show that when the entire range of the 10-category Rural–Urban Continuum Codes (RUCC) is used, the direction of the coefficients may differ and the fit of the model varies substantially across contiguous categories. However, collapsing contiguous categories masks variations within the continuum. To the extent that health policy decisions are made based on such aggregations, inappropriate policy choices may result (e.g., low payments to counties with relatively high needs). Given Congressional calls to address rural health, and the new Office of Management and Budget (OMB) statistical area classification system, debate over appropriate categorizations schemes is timely. We regress age-adjusted all-causes of death on various socioeconomic factors to assess the appropriate use of variants of the rural–urban continuum for health research. Our findings support two main conclusions. First, researchers collapsing urban–rural categorization schemes may be masking important categorical differences, inadvertently influencing policymaking predicated on their work. Second, finer classification of settlements yields uneven results. That is, coefficients shift signs across the continuum, indicating that collapsed models may be inappropriate. Results derived using collapsed variants of the RUCC may be too unstable to use as health research and funding categorization schemes. We suggest that a health status or outcomes categorization scheme is likely to be a more appropriate metric for rural health research. Reavis was at the SSRC, MSU while drafting this article.     

Infant Mortality in Nine Industrial Parishes in Northern England, 1813–1836

Evidence about infant mortality in a number of industrial towns was derived from baptismal and burial registers of the Anglican Church. The level of infant mortality during the period 1813–1836, after correction for underregistration, was comparable to that of British towns during the second half of the century. Infant mortality increased during this period, perhaps as a reflection of rapid population growth. In each of the parishes a winter peak and a summer trough was found in the seasonal index of infant deaths during this period. This pattern is very different from the high summer mortality that prevailed in British towns during the late nineteenth century. However, mortality in the summer increased over time, thus reducing the depth of the summer trough in infant deaths, and perhaps represents a movement towards the summer peak so apparent later in the century.     

Absolute Change in Cause-Specific Infant Mortality for Blacks and Whites in the US: 1983–2002

This paper examines absolute change in infant mortality from 5 leading causes of death for whites and blacks over a 20 year period. Change in infant mortality varies by cause, race, and birth weight. Absolute decline in mortality from respiratory distress syndrome (RDS) and sudden infant death syndrome (SIDS) in the overall study population has been more rapid for black infants during the period after specific technological innovations were approved and behavioral practices were recommended for these conditions. For low birth weight infants, blacks experienced greater decline in mortality from SIDS and whites experienced greater decline in RDS mortality. Despite remarkable declines in mortality from these causes, relative racial disparities have increased over this time period. For the overall study population, blacks and whites experienced similar rates of mortality decline from congenital anomalies. Mortality decline from this cause among low birth weight infants occurred at a faster pace for whites. Mortality from causes for which no specific innovations were developed increased for blacks but remained relatively constant for whites. An analysis of absolute change complements the relative disparities approach by revealing the dynamics of change, thus providing a more complete understanding of changing racial disparities in infant mortality.     

A Cross-National Analysis of Lifespan Inequality, 1950–2015: Examining the Distribution of Mortality Within Countries

Cross-national health research devotes considerable attention to lifespan and survival rate disparities that are found between countries. However, the distribution of mortality across the world is shaped mostly by what happens within countries. We address this striking gap in the literature by modeling length-of-life inequality for individual nation-states. We use life tables from the United Nation’s (2015) World Population Prospects to estimate inequality levels for 200 countries across 13 waves between 1950 and 2015. We find that lifespan inequality is steadily declining across the world, but that each country’s level of inequality, and the rate at which it declines, vary considerably. Our models account for more than 90% of the longitudinal and cross-sectional variation in country-level lifespan inequality during the 1990–2015 period. Maternal mortality is the strongest predictor in our model, while disease prevalence, access to safe water, and health interventions figure prominently, as well. Gross domestic product per capita shows the expected curvilinear association with lifespan inequality, while primary education (both overall enrollment and gender equity in enrollment), external debt, and migration also play critical roles in shaping health outcomes. By contrast, the distribution of political and economic resources (i.e., democracy and income inequality) is less important.

     

International Seminar on Labour Migration in Rural China

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Intergenerational Support and Life Satisfaction of Older Parents in China: A Rural–Urban Divide

Social Indicators Research - In the past few decades, Chinese families have experienced unprecedented economic growth. In addition to growth, public policies have changed and developed, internal...     

Men’s Migration and Women’s Fertility in Rural Mozambique

Labor migration profoundly affects households throughout rural Africa. This study looks at how men’s labor migration influences marital fertility in a context where such migration has been massive while its economic returns are increasingly uncertain. Using data from a survey of married women in southern Mozambique, we start with an event-history analysis of birth rates among women married to migrants and those married to nonmigrants. The model detects a lower birth rate among migrants’ wives, which tends to be partially compensated for by an increased birth rate upon cessation of migration. An analysis of women’s lifetime fertility shows that it decreases as the time spent in migration by their husbands accrues. When we compare reproductive intentions stated by respondents with migrant and nonmigrant husbands, we find that migrants’ wives are more likely to want another child regardless of the number of living children, but the difference is significant only for women who see migration as economically benefiting their households. Yet, such women are also significantly more likely to use modern contraception than other women. We interpret these results in light of the debate on enhancing versus disrupting effects of labor migration on families and households in contemporary developing settings.     

Reconceptualizing Measures of Black–White Disparity in Infant Mortality in U.S. Counties

Population Research and Policy Review - The magnitude of Black–White differences in infant mortality rates varies considerably across U.S. counties. Many prior studies of racial disparities...     

Percentages of the Elderly Aged 60 and Over in Rural and urban Areas in Selected Asian Countries in 1990

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Race/Ethnicity/Nativity Differentials and Changes in Cause-Specific Infant Deaths in the Context of Declining Infant Mortality in the U.S.: 1989–2001

Using data from the national linked birth/infant death cohort files, we examined race/ethnicity/nativity disparities and changes in infant mortality due to the five leading causes of infant death between 1989 and 2001. Our results indicate substantial decreases in infant mortality from three causes (congenital anomalies, sudden infant death syndrome, and respiratory distress syndrome) for which specific perinatal health innovations emerged or were expanded. However, for these three causes, the relative disparities in infant mortality between infants born to U.S.-born black women as compared to infants of U.S.-born white women increased following the introduction (or expansion) of beneficial interventions. Among infants of U.S.-born Mexican American mothers, the findings differed. In the static comparisons, our results show the often-reported similarity in the risk of death of these babies compared to those born to non-Hispanic white mothers. However, when changes over time were modeled, there was an erosion of the relatively favorable survival chances of Mexican American infants. Our models show little change in the relative risk of death for infants of immigrant women. Regarding the other two causes (disorders relating to short gestation and unspecified low birth weight and maternal complications) for which no efficacious innovations occurred, either little change or actual increases in risks were observed. Future studies and health policy efforts should be geared toward further understanding and aggressively working to close infant mortality gaps, especially for infants of U.S.-born black mothers—an effort that will be facilitated by research focused on cause-specific infant mortality.     

Migration and Health Selectivity in the Context of Internal Migration in China, 1997–2009

Using data from the 1997?C2009 waves of the China Health and Nutrition Survey, we examine the ??healthy migrant hypothesis?? in a setting where internal migrants face significant barriers to movement. Going beyond much of the existing literature in the Chinese context, we use an appropriate comparison between migrants and non-migrants at origin, using detailed health measures, and data spanning a wider geographic and temporal extent than had been previously considered. Consistent with research from both international migration contexts and other internal migration settings, we find that migrants are positively selected on the basis of health, although the relationship between health and migration diminishes across time. The strongest evidence for health selection comes from a subjective self-reported health measure, although we also find evidence for selection against those experiencing acute health conditions. We speculate that the across-time differentiation may be caused by the rapid social, economic and policy changes in China??s economic reform era. Thus, we suggest that migration scholars should consider the changing macro context when theorizing about selection factors.