{"title":"Cause-Specific Infant Mortality and Area-Level Deprivation in Russia: Associations and Policy Implications","authors":"Anastasia Zelenina","doi":"10.1007/s12061-026-10009-y","DOIUrl":null,"url":null,"abstract":"<div><p>To examine the impact of regional socioeconomic and environmental deprivation on cause-specific infant mortality in Russia. Using data from the Russian Fertility and Mortality Database (2015–2022) covering 83 regions, we analyzed cause-specific infant mortality via multivariable negative binomial regressions, with the infant population applied as an offset term. In the primary analysis, models were adjusted for infant sex and place of residence (urban vs. rural) to capture group-specific risks. To evaluate the systemic robustness of deprivation effects against latent geographic processes and healthcare supply, a separate sensitivity analysis was performed on the total population without sex and residence stratification, integrating spatial eigenvector filtering and pediatrician density. In the baseline models adjusted for infant sex and place of residence, mortality rates from poisonings, injuries, and external causes escalated progressively alongside gradient increases in economic deprivation. These findings remained robust and unchanged upon the further integration of spatial eigenvectors and pediatrician density into the regression frameworks. Additionally, the primary stratified analysis revealed significantly elevated infant mortality from neoplasms specifically within environmentally deprived rural pockets. However, in the unstratified sensitivity framework, this highly localized rural hazard signal disappeared due to a classic signal dilution effect caused by aggregating data across the total regional population without urban-rural segmentation. This study provides the first empirical evidence that socioeconomic and environmental deprivation significantly shapes cause-specific infant mortality in Russia, demonstrating robust associations that vary by infant sex and residence, while highlighting the major mediating role of regional healthcare infrastructure.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 3","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-026-10009-y","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
To examine the impact of regional socioeconomic and environmental deprivation on cause-specific infant mortality in Russia. Using data from the Russian Fertility and Mortality Database (2015–2022) covering 83 regions, we analyzed cause-specific infant mortality via multivariable negative binomial regressions, with the infant population applied as an offset term. In the primary analysis, models were adjusted for infant sex and place of residence (urban vs. rural) to capture group-specific risks. To evaluate the systemic robustness of deprivation effects against latent geographic processes and healthcare supply, a separate sensitivity analysis was performed on the total population without sex and residence stratification, integrating spatial eigenvector filtering and pediatrician density. In the baseline models adjusted for infant sex and place of residence, mortality rates from poisonings, injuries, and external causes escalated progressively alongside gradient increases in economic deprivation. These findings remained robust and unchanged upon the further integration of spatial eigenvectors and pediatrician density into the regression frameworks. Additionally, the primary stratified analysis revealed significantly elevated infant mortality from neoplasms specifically within environmentally deprived rural pockets. However, in the unstratified sensitivity framework, this highly localized rural hazard signal disappeared due to a classic signal dilution effect caused by aggregating data across the total regional population without urban-rural segmentation. This study provides the first empirical evidence that socioeconomic and environmental deprivation significantly shapes cause-specific infant mortality in Russia, demonstrating robust associations that vary by infant sex and residence, while highlighting the major mediating role of regional healthcare infrastructure.
期刊介绍:
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.