Healthy lifespan inequality: Measurement, trends and determinants
Location: Spain
Source: EU Funding & Tenders Portal
Despite its widespread use and popularity, life expectancy (LE) has two shortcomings. First, its definition only takes into consideration mortality levels, thus ignoring the health status of those who remain alive. Second, LE is an average that does not explain how length of life is distributed across the population. These limitations have generated two strands of research (i.e. the study of ‘heal
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Despite its widespread use and popularity, life expectancy (LE) has two shortcomings. First, its definition only takes into consideration mortality levels, thus ignoring the health status of those who remain alive. Second, LE is an average that does not explain how length of life is distributed across the population. These limitations have generated two strands of research (i.e. the study of ‘health expectancies’ (HE) and ‘lifespan inequality’ (LI)) that, so far, have developed independently from each other. The overarching objective of the HEALIN project is to bring together these research avenues into a coherent whole to get a more comprehensive understanding of contemporary population health dynamics. To attain this goal, I put forward the new concept of ‘healthy lifespan inequality’ (HLI), which is designed to investigate the extent to which healthy lifespans are unequally distributed across the population. The HEALIN project will (i) investigate the trends and determinants of HLI, (ii) assess whether the specific ages and causes that drive changes in HLI are the same ones determining the changes in LE, HE and LI indicators, and (iii) investigate how these indicators behave across and within countries and socio-economic groups. In addition, the project aims at making innovative contributions to the measurement of co-morbidity and to our understanding on how the latter can in turn influence the measurement of health expectancy and healthy lifespan inequality. To attain these objectives, the project will develop path-breaking analytical methods inspired in the models applied for the study of inequality and multidimensional poverty. Besides traditional socio-economic and health data sources, the project will complementary draw from the vastly underutilized health registers for the entire population in Catalonia (7.5 million residents). Their huge size and micro-level design allow investigating trends in HLI and co-morbidity with unprecedented detail. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
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Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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