Famine,Disease, and Mortality Patterns in the Parish of Borshevka,Russia, 1830–1912

Scholars have projected a dismal image of nineteenth-century, rural Russia as a society repeatedly punctuated by crop failures, famine, starvation, and epidemics of famine-related diseases. But there has been no rigorous attempt, using appropriate methods, to assess the nature of demographic crises in Russia and their contribution to overall mortality and population growth. The pattern of mortality evident in the parish under examination is distinguished by an extremely high incidence of infant, diarrhoeal diseases and childhood, infectious diseases. This unfavourable disease environment and resulting high rates of infant and early childhood mortality were more closely related to fertility levels, household size, housing conditions, and weaning practices than to annual or seasonal food availability and the nutritional status of the population. In a disease-driven society, the susceptibility to infection and the force of infection can, to a considerable extent, be determined by demographic factors, familial norms, and climatic constraints.     

Assessing the Potential Impact of the HIV-1 Epidemic on Orphanhood and the Demographic Structure of Populations in sub-Saharan Africa

Much of the debate on the demographic consequences of the HIV epidemic in sub-Saharan Africa has so far centred around the plausibility of population declines in areas where unprecendently high rates of population growth have recently been in evidence. In this article, the authors use a mathematical model, which combines epidemiological and demographic processes, to illustrate how, under a broad range of impacts on population growth, major changes in demographic features, such as the extent of orphanhood within populations, are likely to occur. At the same time, HIV epidemics are liable to cause significant shifts in the age and sex composition of affected populations, which may have important implications for the ways in which they are best able to cope with the increases in orphanhood, as well as those in infant, early childhood and adult mortality.     

Population change in the former Soviet Republics

Demographic trends in the former Soviet Republics and Russia are summarized and discussed in this publication. The former Soviet Republics in Europe as well as Georgia and Armenia had completed or almost completed their demographic transition before October 1991. Other Central Asian republics experienced reduced mortality, but, despite rapid declines, fertility is still above replacement level (at 3-4 children per woman). The economic and social dislocation of the breakup of the republics has hastened fertility decline. The annual population growth rate of the USSR in the mid-1980s was 0.9%; this rate declined to 0.4% in 1991, and the decline has continued. The 1991 population of the USSR was 289.1 million. Between 1989 and 1991, the crude birth rate was 18/1000 population, and the crude death rate was 10/1000. The net migration rate of -4/1000 helped to reduce growth. Total fertility in the USSR was 2.3 children in 1990. In Russia, fertility declined from 1.9 in 1990 to 1.4 in 1993. The preferred family size in Russia was 1.9 in 1990 and 1.5 in 1993. This decline occurred due to lack of confidence in the economy and insufficient income. Only 19% of women used contraception in 1990. Marriages declined after 1990. Age pyramids were similar in the republics in that there was a narrowing in the proportion aged 45-49 years, and the male population aged over 65 years was diminished, due to the effect of World War II. The cohort of those aged 20-24 years in 1992 was very small due to the small parental birth cohort. The differences in the republics was characterized as broad-based in the younger ages because of high fertility. The number of childbearing women will remain large. Life expectancy has been 70 years since the 1950s and has declined in some republics due to substandard health care, lack of job safety measures, and alcoholism. Some republics experienced increased life expectancy, but, after 1991, mortality increased. Tajikistan had the highest infant mortality of 47/1000 live births in 1993. A demographic profile provided for each republic offers several population projection scenarios.     

Mortality and Metropolis: The Case of London 1675–1825

Recent work in population history emphasizes that demographic phenomena should be seen in a wider social and economic context. This perspective is, however, more easily achieved in the case of fertility than of mortality, which is widely treated as a variable ‘exogenous’ to economy and society. In the present paper it is argued that the inclusion of spatial structure and migration in accounts of historical demographic regimes can restore long-term variations in mortality to an ‘endogenous’ position. Within such a model a central role is played by large metropolitan populations, which act as endemic reservoirs of infection, with high but relatively stable levels of mortality. Data from the annual London Bills of Mortality allow empirical testing for the period 1675–1825, with results which generally conform to theoretical expectations, although a substantial reduction in mortality occurs during the latter part of the period.     

Polygyny as social and biological differentiation among Toposa agro-pastoralists of Southern Sudan

A demographic survey of eight Toposa villages in Southern Sudan was undertaken to delineate patterns of infant and childhood mortality. Among these predominantly egalitarian agro-pastoralists few standard socio-economic variables useful in the detection of demographic differentials were found. Instead, polygyny was used as a measure of social differentiation, hypothesizing that social differentiation induces demographic differences between polygynous and monogamous marriages. Analysis indicated social differentiation through gerontocracy, while significant differences in mortality and fertility levels were found berween monogamous and polygynous marriages, with the latter featuring higher fertility and mortality levels. Underlying rationale for these differences were sought through consideration of social and biological factors.     

Population statistics] as of July 1, 2000

This Mahidol Population Gazette presents Thailand's population and demographic estimates as of July 1, 2000, using the standard techniques of demographic analysis. The paper provides estimates of Thailand's total population, population by sex, population in urban and rural areas, population by region, and by age group. In addition, figures of crude birth and death are listed per 1000 population, natural growth rate, and infant mortality rate per 1000 live births, male and females' life expectancy at birth and at age 60, total fertility rate, contraceptive prevalence rate. The number of the aged population in 2020 is also presented. Presented in a bar graph is a population pyramid for Thailand in the year 2000, illustrating male and females' age and year of birth.     

Population statistics] as of July 1, 1999

Reported in tabular form are population statistics published by the Institute for Population and Social Research, Mahidol University, in Thailand, as of July 1, 1999. The three objectives of the table were 1) to present the most recent estimates of relevant population numbers and vital rates twice a year, 2) to provide the most accurate demographic estimates possible through the use of standard techniques of demographic analysis, and 3) to disseminate the demographic data to Thailand, and international researchers and planners. The table shows statistics on the following elements: total population; population by sex; population in urban and rural areas; population by region; population by age group; crude birth and death rates; natural growth rate; infant mortality rate; life expectancies at birth and at 60 years and over; total fertility rate; contraceptive prevalence rate; and median age. A new basis for age estimates is also presented.     

The Level and Age Pattern of Mortality in Bandafassi (Eastern Senegal): Results From a Small-Scale and Intensive Multi-Round Survey

The data collected in the Bandafassi demographic study in Eastern Senegal, a small-scale intensive and experimental follow-up survey of a population of about 7,000 in 1983, were analysed to derive an estimated life table. The use of multi-round surveys, combined with anthropological methods to estimate ages and collect genealogies, has resulted in unusually reliable data. Taking into account the uncertainty of the estimates due to the small size of the population, mortality was high, with life-expectancy at birth close to 31 years; a pattern of infant and child mortality close to that observed in other rural areas of Senegal, with a very high level or mortality between ages six months and three years; a seasonal pattern in child mortality with two high-risk periods, the rainy season and the end of the dry season; an adult mortality pattern similar to that described in model life tables for developed countries; no significant difference by sex or ethnic group. The Bandafassi population study and a few similar studies suggest that one possible way to improve demographic estimates in countries where vital registration systems are defective would be to set up a sample of population laboratories where intensive methods of data collection would continue for extended periods.     

The President of Russia on Population

Russian president Vladimir Putin's 2005 annual address to the Federal Assembly of the Russian Federation, delivered on 25 April, was widely noted in the world press for the startling statement that “the collapse of the Soviet Union was a major geopolitical disaster of the century.” The address also contained a brief passage discussing the demographic problems of Russia. This passage, touching upon the issues of high mortality and the low birth rate, and commenting on drug abuse and alcoholism and on immigration policy, is reproduced below. The president expressed confidence that by creating conditions to “encourage people to have children, lower the mortality rate and bring order to immigration,” the size of the Russian population will gradually stabilize. (The United Nations medium population projection for Russia, which assumes gradual improvement of fertility and mortality, reaching a TFR of 1.85 and an expectation of life of 72 years by the 2040s, as well as net immigration exceeding 2 million persons, foresees a decline from the current 143 million to 112 million by 2050.) The full English text of the address can be accessed at http://president.kremlin.ru/eng/ .     

Effects of early-life conditions on adult mortality: a review

"This paper considers the effects of health conditions in childhood on an individual's mortality risks as an adult. It examines epidemiologic evidence on some of the major mechanisms expected to create a linkage between childhood and adult mortality and reviews demographic and epidemiologic studies for evidence of the hypothesized linkages....Many empirical studies support the notion that childhood conditions play a major role in adult mortality, but only in the case of respiratory tuberculosis has the demographic importance of a specific mechanism been established by cohort studies. One's date and place of birth also appear to be persistently associated with risks of adult death in a wide variety of circumstances. An individual's height, perhaps the single best indicator of nutritional and disease environment in childhood, has recently been linked to adult mortality, especially from cardiovascular diseases. Further research is needed, however, before causal mechanisms can be identified."     

Population statistics] as of July 1, 1998

This article presents estimates of relevant population numbers and vital rates in Thailand as of July 1, 1998. Utilizing the standard demographic techniques of analysis, the estimates provided are assured to be the most accurate demographic estimates possible. Total population was estimated at 61,143,000. Estimates by sex, locales, region, and by age group are included. In addition, the crude birth rate per 1000 population was estimated at 18.7; the crude death rate per 1000 population was 6.5. For the natural growth rate the estimate was at 1.2%, and the infant mortality rate was 25.0 per 1000 live births. In terms of life expectancy at birth, the estimate for males was 69.9 years, while for females it was 74.9 years. Additional years in life expectancy at age 60 were 20.3 years for males and 23.9 years for females. The total fertility rate per woman is 1.98, and contraceptive prevalence is 72.2%. The demographic data will be disseminated to Thai and international population researchers and planners.     

Socioeconomic Inequalities in Infant Mortality in Egypt: Analyzing Trends Between 1995 and 2014

This paper analyses the trend of the socioeconomic inequalities in infant mortality rates in Egypt over the period 1995–2014, using repeated cross-sectional data from the National Demographic and Health Survey. A multivariate logistic regression and concentration indices are used to examine the demographic and socioeconomic correlates of infant mortality, and how the degree of socioeconomic disparities in child mortality rates has evolved over time. We find a significant drop in infant mortality rates from 63 deaths per 1000 live births in 1995 to 22 deaths per 1000 live births in 2014. However, analyzing trends over the study period reveals no corresponding progress in narrowing the socioeconomic disparities in childhood mortality. Infant mortality rates remain higher in rural areas and among low-income families than the national average. Results show an inverse association between infant mortality rates and living standard measures, with the poor bearing the largest burden of early child mortality. Though the estimated concentration indices show a decline in the degree of socioeconomic inequality in child mortality rates over time, infant mortality rate among the poor remains twice the rate of the richest wealth quintile. Nonetheless, this decline in the degree of socioeconomic inequality in child mortality is not supported by the results of the multivariate logistic regression model. Results of the logistic model show higher odds of infant mortality among rural households, children who are twins, households with risky birth intervals. We find no statistically significant association between infant mortality and child’s sex, access to safe water, mothers’ work, and mothers’ nutritional status. Infant mortality is negatively associated with household wealth and regular health care during pregnancy. Concerted effort and targeting intervention measures are still needed to reduce the degree of socioeconomic and regional inequalities in child health, including infant mortality, in Egypt.     

Polygyny and child survival in Nigeria: Age-dependent effects

Mortality risks under age five are estimated using data from the 1990 Nigerian Demographic and Health Survey for children in monogamous and polygynous families. Integrating existing theories on polygyny’s relationship with infant and child mortality and some demographic concepts, the study shows that polygyny has different effects on infant and child mortality at different ages. The results indicate that polygyny does not have a significant effect on neonatal mortality (age less than one month). In contrast to the results of previous research, polygyny is significantly associated with lower child mortality during the post-neonatal period (1–11 months), but not during childhood (12–59 months). The study found socio-economic factors to be important confounders of the relationship between polygyny and mortality during the neonatal and post-neonatal periods. The protective effect of polygyny during the post-neonatal period suggests the need to further investigate circumstances that may favour post-neonatal child survival in polygynous families including availability of childcare.     

Life Potential as a Basic Demographic Indicator

This paper proposes an indicator that integrates life expectancy with the demographic structure of the population for a given society. By doing this, we have a simple indicator of mortality and aging combined, which could be very useful for developed societies. As is widely known, life expectancy at birth is independent of the demographic structure of the population, and therefore is adequate for measuring overall mortality. However, it neglects to take into account the fact that as life expectancy increases society ages, and so looking at life expectancy alone can produce an overly optimistic view of the development process, especially if we pay attention to future sustainability. Aging can in fact affect quality of life and sustainability in the long run. The indicators for aging are usually very crude, such as providing information on the share of the population who are 65 and over. We propose a simple indicator that integrates life expectancy at different ages, not only at birth, with the demographic structure of the population at a given point in time. The indicator has an intuitive interpretation in terms of the life potential, or biological capital, of society; and given that it is a weighted average, its changes can be easily decomposed into reductions in mortality (gains in life expectancy) and aging for different age intervals.     

The effects of breastfeeding and pace of childbearing on mortality at early ages

The effects of the pace of childbearing and breastfeeding practices on infant mortality have rarely been considered together. In this paper, we design and use a set of methodological tools to test a variety of hypotheses postulating the effects of breastfeeding and pace of childbearing on mortality in infancy and early childhood, the mechanisms through which those effects operate, and the contingencies that strengthen or weaken them. The strong effects of both length of breastfeeding and the pace of childbearing on the risks of child death suggest that neither of them exerts an impact on mortality totally mediated by the other. Social and demographic factors (such as age of child, education of mother, and region of residence) also condition the impact of breastfeeding and pace of childbearing on mortality.     

The impact of childhood mortality on Fertility in six rural Thanas of Bangladesh

In this article, we examine the relationship between child mortality and subsequent fertility using prospective longitudinal data on births and childhood deaths occurring to nearly 8000 Bangladeshi mothers observed over the 1982-1993 period, a time of rapid fertility decline. Generalized hazard-regression analyses are employed to assess the effect of infant and child mortality on the hazard of conception, with controls for birth order and maternal age and educational attainment. Results show that childhood mortality reduces the time to subsequent conception if the death occurs within a given interval, representing the combined effect of biological and volitional replacement. The time to conception is also reduced if a childhood death occurs during a prior birth interval, a finding that signifies an effect of volitional replacement of the child that died. Moreover, mortality effects in prior birth intervals are consistent with hypothesized insurance (or hoarding) effects. Interaction of replacement with elapsed time suggests that the volitional impact of child mortality increases as the demographic transition progresses. This volitional effect interacts with sex of index child. Investigation of higher-order interactions suggests that this gender-replacement effect has not changed over time.     

The cocos-keeling islands: A demographic laboratory

The Cocos Islands, which are situated in the Indian Ocean approximately halfway between Colombo and Fremantle, were first peopled early in the nineteenth century and were gradually developed as a very isolated coconut plantation with a labour force consisting partly of persons of Malay stock descended from the original group of settlers and partly of Bantamese contract labourers from Java. As the Cocos-born population increased in size, the dependence on contract labour decreased and, before the end of the century, all immigration ceased. The 1947 Malay population of the islands was about 1,800.

The islands are fascinating from a demographer's point of view because there was a virtually complete registration of live births, deaths and marriages and a partial registration of stillbirths. With these registration records it was possible to construct the life history of every individual from birth, through infancy and childhood to marriage, and thence through fatherhood or motherhood to death.

The picture revealed by an analysis of these records is that of a population with very high fertility and with mortality at a high level before the first World war and at a medium level after that war. Crude birth rates varied between 50 and 60 per thousand population during the period 1888 to 1947. Crude death rates were between 30 and 40 per thousand population until 1912 but under 2.0 per thousand population after 1918.

Most Cocos girls married before reaching the age of 20 and there were an average of between eight and nine live births per woman living through the childbearing period. There was a steady decline in the average number of live births with advancing age at marriage from age 16 onwards. A significantly high proportion of those dying in the middle of the childbearing period had never married, but the fertility of those marrying at an early age (14, 15 and 16) and dying before reaching the age of 36 was slightly higher than that of those who married at a similar age and survived. Women who survived to the age of 55 were of higher fertility than those who died between the ages of 40 and 55. An analysis of birth intervals revealed significant differences (a) between birth intervals after a stillbirth or after a live birth in which the child died in early infancy, and birth intervals after a live birth in which the offspring survived for longer than 0.4 years, and (b) between the interval from first to second birth and the subsequent birth intervals. There was a difference of almost exactly a year between the average birth interval after a stillbirth or live birth ending in a neo-natal death and the average birth interval after the birth of a child surviving to age 2; there was a similar difference of a year between corresponding median birth intervals.

From 1888 to 1912 infant mortality was well above 300 per thousand. After 1918 infant mortality averaged rather under 100 infant deaths per 1,000 live births. The reduction in infant mortality rates was accompanied by an increase in the mortality of children aged 1 to 4, and the heavy incidence of mortality at these ages after 1918 is the most striking feature of the analysis of mortality by age. Whilst mortality in infancy fell much more heavily on males than on females, early childhood mortality was much higher in Cocos for girls than for boys. The life table computed for the period 1918 to 1947 indicated a life expectancy of about 50 years for males and 47 years for females.     

Fertility decline in Punjab, India: parallels with historical Europe

Two interesting features emerge from this study of fertility behaviour in Punjab. First, it brings out the common features of peasant life and demographic behaviour found in this developing-country setting and in historical Europe. As in much of Europe, marriage was regulated to adjust to the availability of land and other resources. It is interesting to note that the operation of this 'nuptiality valve' was quite consistent with a system of joint families and partible inheritance. Secondly, the findings suggest that we need to re-define what we understand to be the features of socio-economic development which are crucial for fertility decline. Fertility began to decline steadily in this part of Punjab as early as 1940, at a time when the society was overwhelmingly agrarian, illiterate, and infant mortality was high with no access to modern contraceptive technology, as in historical Europe. The onset of the decline was brought about by development interventions which stabilized fluctuations in crop yields and mortality, thus radically improving stability of people's expectations. This study also points out the inapplicability of Mamdani's theories of fertility behaviour to the people he studies.     

Famine,Maternal Nutrition and Infant Mortality: A Re-examination of the Dutch Hunger Winter

During the Dutch Hunger Winter (1945), a unique, documented example of mass famine in an industrialized population, total reproductive loss (fetal and infant mortality) among most exposed mothers remained relatively low. This is explained by highly favourable fetal mortality and unfavourable infant mortality. The author traces the pattern of low fetal mortality to the higher levels of ‘embodied health status’ of famine mothers. The high infant mortality of the famine area testifies to the severity of the food and fuel shortage, yet another factor held down the rate of stillbirth. This other factor, it is argued, has a socio-economic character, it is the intrinsic ‘embodied’ nutritional status of the regional population, arising from favourable opportunities for growth and development among successive generations of mothers. This explanation highlights the importance of maternal vitality, (a synthetic, historically variable and culturally determined phenomenon) as a neglected feature of historical demography.     

Endogenous fertility,mortality and growth

Economic and demographic outcomes are determined jointly in a choice-theoretic model of fertility, mortality and capital accumulation. There is an endogenous population of reproductive agents who belong to dynastic families of overlapping generations connected through altruism. In addition to choosing savings and births, parents may reduce (infant) deaths by incurring expenditures on health-care which is also provided by the government. A generalised production technology accounts for long-run endogenous growth with short-run transitional dynamics. The analysis yields testable time series and cross-section implications which accord with the empirical evidence on the relationship between demography and development. Received: 22 April 1996 / Accepted: 2 April 1998