UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Mortality in Transition: Study Protocol of the PrivMort Project, a multilevel convenience cohort study

Irdam, D; King, L; Gugushvili, A; Azarova, A; Fazekas, M; Scheiring, G; Stefler, D; ... Bobak, M; + view all (2016) Mortality in Transition: Study Protocol of the PrivMort Project, a multilevel convenience cohort study. BMC Public Health , 16 (672) 10.1186/s12889-016-3249-9. Green open access

[thumbnail of Stefler_12889_2016_Article_3249.pdf]
Preview
Text
Stefler_12889_2016_Article_3249.pdf

Download (427kB) | Preview

Abstract

BACKGROUND: Previous research using routine data identified rapid mass privatisation as an important driver of mortality crisis following the collapse of Communism in Central and Eastern Europe. However, existing studies on the mortality crisis relying on individual level or routine data cannot assess both distal (societal) and proximal (individual) causes of mortality simultaneously. The aim of the PrivMort Project is to overcome these limitations and to investigate the role of societal factors (particularly rapid mass privatisation) and individual-level factors (e.g. alcohol consumption) in the mortality changes in post-communist countries. METHODS: The PrivMort conducts large-sample surveys in Russia, Belarus and Hungary. The approach is unique in comparing towns that have undergone rapid privatisation of their key industrial enterprises with those that experienced more gradual forms of privatisation, employing a multi-level retrospective cohort design that combines data on the industrial characteristics of the towns, socio-economic descriptions of the communities, settlement-level data, individual socio-economic characteristics, and individuals’ health behaviour. It then incorporates data on mortality of different types of relatives of survey respondents, employing a retrospective demographic approach, which enables linkage of historical patterns of mortality to exposures, based on experiences of family members. By May 2016, 63,073 respondents provided information on themselves and 205,607 relatives, of whom 102,971 had died. The settlement-level dataset contains information on 539 settlements and 12,082 enterprises in these settlements in Russia, 96 settlements and 271 enterprises in Belarus, and 52 settlement and 148 enterprises in Hungary. DISCUSSION: In addition to reinforcing existing evidence linking smoking, hazardous drinking and unemployment to mortality, the PrivMort dataset will investigate the variation in transition experiences for individual respondents and their families across settlements characterized by differing contextual factors, including industrial characteristics, simultaneously providing information about how excess mortality is distributed across settlements with various privatization strategies.

Type: Article
Title: Mortality in Transition: Study Protocol of the PrivMort Project, a multilevel convenience cohort study
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/s12889-016-3249-9
Publisher version: http://dx.doi.org/10.1186/s12889-016-3249-9
Language: English
Additional information: © 2016 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: Science & Technology, Life Sciences & Biomedicine, Public, Environmental & Occupational Health, Mortality, Privatization, Post-communist transitions, Multi-level analysis, Estimating adult mortality, Russian-federation, Alcohol, Health, Retirement, Crisis, Bias, Men
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health
URI: https://discovery.ucl.ac.uk/id/eprint/1514983
Downloads since deposit
80Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item