Pregled bibliografske jedinice broj: 957949
Demographic and socio-economic profile of the oldest-old in Croatia
Demographic and socio-economic profile of the oldest-old in Croatia // The Second International Statistical Conference in Croatia, “New Advances in Statistical Methods Applications for a Better World“ / Ksenija Dumičić, Nataša Erjavec, Mirjana Pejić Bach, Berislav Žmuk (ur.).
Zagreb: Hrvatsko statističko društvo, 2018. str. 47-47 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 957949 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Demographic and socio-economic profile of the oldest-old in Croatia
Autori
Čipin, Ivan ; Brnić, Mario
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
The Second International Statistical Conference in Croatia, “New Advances in Statistical Methods Applications for a Better World“
/ Ksenija Dumičić, Nataša Erjavec, Mirjana Pejić Bach, Berislav Žmuk - Zagreb : Hrvatsko statističko društvo, 2018, 47-47
Skup
2nd International Statistical Conference in Croatia (ISCCRO 2018)
Mjesto i datum
Opatija, Hrvatska, 10.05.2018. - 11.05.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Croatia, demography of ageing, oldest-old, SHARE
Sažetak
Population ageing is one of the greatest societal challenges in present and coming decades in Croatia. Increasing heterogeneity of the older population put a special emphasis on the increasing number of oldest old (often defined as population aged 80 or 85+ and older). Today, large differences can be noted in the health and socioeconomic characteristics of the population aged 65-79 compared to the oldest old. Oldest-old are population group with a high prevalence of long-term care needs. The higher increase of the oldest population might add to the burden of relatively declining population of working ages, who are supposed to take care of the oldest people. In this paper we will explore socio-economic status of the oldest-old in Croatia, their living arrangements, their social network, health care provision and need, morbidity, diseases and chronic conditions prevalence. In analyzing oldest-old in Croatia, we use the Survey of Health, Ageing and Retirement in Europe (SHARE), a database of micro data on health, socio-economic status and social and family networks in the population aged 50 and older. Croatia participated in the SHARE Wave 6 for the first time. The fieldwork of the SHARE wave 6 was completed in November 2015. Descriptive statistics results are derived from weighted data. Using limited dependent variable techniques, we will further explore a possible difference between oldest-old and younger elderly population in the sample.
Izvorni jezik
Engleski
Znanstvena područja
Demografija
