Restricted activity and negative self-assessment of health as risk indicators for latent disability analysis performed on population groups different as per sex and age

A necessity to detect and assess probable latent disability makes the present research vital; it can be done using available parameters that characterize population health. Our research object was adult population living in the Russian Federation. Our research goal was to reveal a relation between self-assessment of health and health-related restrictions among respondents form different sex and age groups in order to determine latent disability among overall RF population. Previously Russian researchers revealed certain relations between disability and low self-assessment of one’s health. However, there was no profound study on an issue related to using such criteria as «negative self-assessment of health» and «restricted activities» used to reveal latent disability. This aspect has not been examined in great detail in domestic research and it makes the present work truly vital. We took data collected via the Russian sociologic study performed within the European sociological study (ESS) in 2018-2019 as well as data from sampling studies on population in the RF performed by the Federal Statistics Service in 2018 and 2019. To analyze a relation between self-assessment of health and existing restricted activity, we calculated Kramer’s coefficients for different sex and age groups of respondents who took part in the Russian sociologic study. Calculated Kramer’s coefficient values indicate there is an average relation between such parameters as «self-assessment of health» and «existing restricted activity». We established that 7 % of respondents who were not disabled still had health characteristics implying there was a disability risk. It was shown that use of such criteria as «self-assessment of health» and «existing restricted activities» allowed more authentic assessment of latent disability among males aged 50-59 and women aged 20-29, 30-39, and 40-49. In future we plan to obtain more accurate results using data from other representative sociologic studies on population including regional ones.