Population Studies-A Journal of Demography最新文献

Cognitively impaired adults without a partner are highly disadvantaged, as partners constitute an important source of caregiving and emotional support. With the application of innovative multistate models to the Health and Retirement Study, this paper is the first to estimate joint expectancies of cognitive and partnership status at age 50 by sex, race/ethnicity, and education in the United States. We find that women live a decade longer unpartnered than men. Women are also disadvantaged as they experience three more years as both cognitively impaired and unpartnered than men. Black women live over twice as long as cognitively impaired and unpartnered compared with White women. Lower-educated men and women live around three and five years longer, respectively, as cognitively impaired and unpartnered than more highly educated men and women. This study addresses a novel facet of partnership and cognitive status dynamics and examines their variations by key socio-demographic factors.

In this paper, we investigate whether fertility and newborn health changed during the Covid-19 pandemic in Mexico. We use national administrative data and an event-study design to examine the impact of the Covid-19 pandemic on fertility and newborn health characteristics. Our findings suggest that Mexico's fertility declined temporarily as measured by conceptions that likely occurred during the stay-at-home order. Initially, the general fertility rate fell by 11-12 per cent but quickly rebounded and returned close to its original levels by the end of 2021. Newborn health also deteriorated during the pandemic. Instances of low birthweight and prematurity substantially increased, with both remaining elevated over the entire pandemic period.

The practice of women eating after men is a common gender-inequitable food allocation mechanism among adults in Indian households and has been associated with poor health and nutritional outcomes for women. However, empirical evidence on whether a similar practice of girls eating after boys is prevalent among children is scarce. Using primary data from a household survey conducted in educationally backward areas of four Indian states, we provide new evidence of this practice among children. Almost 28 per cent of the sample households follow the mealtime custom of girls eating after boys. Scheduled Tribes and households with higher incomes are less likely to follow this practice. Other relevant factors include children's relative ages by sex and an interplay between family size and children's sex composition. While our findings may not be generalizable, they suggest an intersectionality between gender and other dimensions of inequality, namely social identity and economic class.

We know little about the effects of the reproductive health burden in contexts where unsafe abortions, miscarriages, stillbirths, and low-quality maternal care are common. The aim of this study is to investigate the use of allostatic load to understand the impact of reproductive histories on later-life health. We applied path models to the Indonesian Family Life Survey with a sample of 2,001 women aged 40+. Although number of children was not associated with allostatic load, pregnancies not ending in live birth and parenthood before age 18 were both negatively associated with health. We also identified clear cohort and educational effects and a possible rural advantage. Our contribution is twofold: we highlight the importance of reproductive histories beyond live births on women's later-life health in a context of increasing population ageing, and we demonstrate the applicability of using allostatic load to measure health outside the Global North.

This paper investigates the biological, socio-economic, and institutional factors shaping the individual risk of death during a major pre-industrial epidemic. We use a micro-demographic database for an Italian city (Carmagnola) during the 1630 plague to explore in detail the survival dynamics of the population admitted to the isolation hospital (lazzaretto). We develop a theoretical model of admissions to the lazzaretto, for better interpretation of the observational data. We explore how age and sex shaped the individual risk of death, and we provide a one-of-a-kind study of the impact of socio-economic status. We report an inversion of the normal mortality gradient by status for those interned at the lazzaretto. The rich enjoyed a greater ability to make decisions about their hospitalization, but this backfired. Instead, the poor sent to the lazzaretto faced a relatively low risk of death because they enjoyed better conditions than they would have experienced outside the hospital.

Effective government services rely on accurate population numbers to allocate resources. In Colombia and globally, census enumeration is challenging in remote regions and where armed conflict is occurring. During census preparations, the Colombian National Administrative Department of Statistics conducted social cartography workshops, where community representatives estimated numbers of dwellings and people throughout their regions. We repurposed this information, combining it with remotely sensed buildings data and other geospatial data. To estimate building counts and population sizes, we developed hierarchical Bayesian models, trained using nearby full-coverage census enumerations and assessed using 10-fold cross-validation. We compared models to assess the relative contributions of community knowledge, remotely sensed buildings, and their combination to model fit. The Community model was unbiased but imprecise; the Satellite model was more precise but biased; and the Combination model was best for overall accuracy. Results reaffirmed the power of remotely sensed buildings data for population estimation and highlighted the value of incorporating local knowledge.

We interrogate the proposition that men's attitudes have constrained the fertility transition in Cameroon, where fertility remains high and contraceptive use low despite much socio-economic progress. We use five Demographic and Health Surveys to compare trends in desired family size among young women and men and analyse matched monogamous couple data from the two most recent surveys to examine wives' and husbands' desires to stop childbearing and their relative influence on current contraceptive use. In 2018, average desired family size was 5.6 and 5.1, for young men and women respectively, and this difference (half a child) has not changed since 1998. Among matched couples, the proportions wanting to stop childbearing were similar in wives and their husbands, but wives perceived husbands to be much more pronatalist than themselves. Surprisingly, men's own reported preferences were more closely associated with contraceptive use than wives' perceptions of husbands' preferences. We discerned little evidence that men's attitudes have impeded reproductive change.

Chronic childhood undernutrition, known as stunting, is an important population health problem with short- and long-term adverse outcomes. Bangladesh has made strides to reduce chronic childhood undernutrition, yet progress is falling short of the 2030 Sustainable Development Goals targets. This study estimates trends in age-specific chronic childhood undernutrition in Bangladesh's 64 districts during 1997-2018, using underlying direct estimates extracted from seven Demographic and Health Surveys in the development of small area time-series models. These models combine cross-sectional, temporal, and spatial data to predict in all districts in both survey and non-survey years. Nationally, there has been a steep decline in stunting from about three in five to one in three children. However, our results highlight significant inequalities in chronic undernutrition, with several districts experiencing less pronounced declines. These differences are more nuanced at the district-by-age level, with only districts in more socio-economically advantaged areas of Bangladesh consistently reporting declines in stunting across all age groups.

Much less is known about the sex gap in lifespan variation, which reflects inequalities in the length of life, than about the sex gap in life expectancy (average length of life). We examined the contributions of age groups and causes of death to the sex gap in lifespan variation for 28 European countries, grouped into five European regions. In 2010-15, males in Europe displayed a 6.8-year-lower life expectancy and a 2.3-year-higher standard deviation in lifespan than females, with clear regional differences. Sex differences in lifespan variation are attributable largely to higher external mortality among males aged 30-39, whereas sex differences in life expectancy are due predominantly to higher smoking-related and cardiovascular disease mortality among males aged 60-69. The distinct findings for the sex gap in lifespan variation and the sex gap in life expectancy provide additional insights into the survival differences between the sexes.