Volume 42 - Article 2 | Pages 15–56
Factors incorporated into future survival estimation among Europeans
|Date received:||19 Apr 2019|
|Date published:||07 Jan 2020|
|Keywords:||health, Human Mortality Database (HMD), risk behaviors, sociodemographic composition, subjective survival probabilities, Survey of Health, Ageing and Retirement in Europe (SHARE)|
|Additional files:||readme.42-2 (text file, 4 kB)|
|demographic-research.42-2 (zip file, 1 MB)|
Background: Subjective survival probabilities are affected by individual-specific judgment and vary by factors known to differentiate actual mortality.
Objective: The aim of this study is to evaluate whether sociodemographic characteristics, physical and mental health, and lifestyle are incorporated into subjective survival probabilities of Europeans aged 50 or higher.
Methods: We use data from Wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE) and period life tables from the Human Mortality Database (HMD). For the statistical analysis we employ multinomial logistic regression models.
Results: Our results show that common factors drive the self-reported subjective survival probabilities. Certain factors affecting actual mortality are considered when forming subjective survival probabilities: income, education, poor physical and mental health, activities of daily living (ADLs), smoking, physical activity, diet, quality of life, and number of children. Other factors are not considered in a manner consistent with actual mortality patterns: age, gender, marital status, and body weight. The findings regarding cognitive function are inconclusive; whereas some aspects seem to be integrated in subjective survival probabilities (e.g., memory or self-writing skills), others are not (e.g., numeracy or orientation in time).
Contribution: The contribution of this study is the grouping of sociodemographic, health, and lifestyle characteristics according to the subjective survival probabilities’ direction and consistency with general population mortality and actual mortality patterns. Hence, we assess which traits are incorporated in the formation of subjective survival probabilities among Europeans aged 50 or higher.
Apostolos Papachristos - University of Piraeus, Greece
Georgia Verropoulou - University of Piraeus, Greece
George B. Ploubidis - University College London (UCL), United Kingdom
Cleon Tsimbos - University of Piraeus, Greece
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