Literature DB >> 34483802

Contextual factors underpinning geographical inequalities in disability-free life expectancy in 100 French départements.

Caroline Laborde1,2, Maude Crouzet3, Amélie Carrère4,5,6, Emmanuelle Cambois4.   

Abstract

The objectives were to estimate disability-free life expectancy (DFLE) and life expectancy with disability (DLE) by gender for the 100 French départements (administrative geographical subdivisions) and to investigate associations with socioeconomic factors, supply of healthcare and services for older persons. DFLE and DLE at age 60 are estimated using the Sullivan method and based on the GALI indicator provided by the French cross-sectional survey Vie Quotidienne et Santé 2014. In 2014, DFLE for men and women aged 60 was 14.3 years and 15.6 years, respectively. Variations across départements were considerable (5.4 years for men, 6.7 years for women). Multivariate random effects meta-regression models indicated a negative association for men between DFLE and some of the socioeconomic contextual indicators (ratio of manual workers to higher-level occupations and unemployment rate); the level of in-home nursing services (HNS) was negatively associated with DFLE and density of nurses positively associated with DLE. Among women, ratio of manual workers to higher-level occupations, unemployment rate, proportion of the population living in large urban areas, density of nurses, and level of HNS were negatively associated with DFLE; density of physiotherapy supply was associated positively with DFLE and negatively with DLE. Our results suggest that geographical inequalities in health expectancies are significantly correlated with socioeconomic status and with healthcare supply, support for older persons, and urban environments, particularly among women. These results underline the importance of monitoring these indicators and disparities at infra-national-level, and of investigating their relations with local context, particularly the supply of healthcare and services. © Springer Nature B.V. 2020.

Entities:  

Keywords:  Disability; Disability-free life expectancy; Geographical inequalities; Healthcare supply; Mortality; Socioeconomic factors

Year:  2020        PMID: 34483802      PMCID: PMC8377077          DOI: 10.1007/s10433-020-00589-0

Source DB:  PubMed          Journal:  Eur J Ageing        ISSN: 1613-9372


  63 in total

1.  Relationships between the Active Aging Index and Disability-Free Life Expectancy: A Case Study in the Rajshahi District of Bangladesh.

Authors:  Md Ismail Tareque; Nazrul Hoque; Towfiqua Mahfuza Islam; Kazuo Kawahara; Makiko Sugawa
Journal:  Can J Aging       Date:  2013-12

2.  Occupational inequality in health expectancy in Denmark.

Authors:  Henrik Brønnum-Hansen; Else Foverskov; Ingelise Andersen
Journal:  Scand J Public Health       Date:  2019-11-25       Impact factor: 3.021

3.  How does education lead to healthier behaviours? Testing the mediational roles of perceived control, health literacy and social support.

Authors:  Crystal L Park; Dalnim Cho; Philip J Moore
Journal:  Psychol Health       Date:  2018-11-19

4.  Disability components for an index of health.

Authors:  D F Sullivan
Journal:  Vital Health Stat 2       Date:  1971-07

5.  Education, income and alcohol misuse: a stress process model.

Authors:  Marta Elliott; Jennifer Lowman
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2014-03-30       Impact factor: 4.328

6.  Socioeconomic Inequalities in Green Space Quality and Accessibility-Evidence from a Southern European City.

Authors:  Elaine Hoffimann; Henrique Barros; Ana Isabel Ribeiro
Journal:  Int J Environ Res Public Health       Date:  2017-08-15       Impact factor: 3.390

7.  Urban-rural differences in disability-free life expectancy in Bangladesh using the 2010 HIES data.

Authors:  Md Shariful Islam; Md Ismail Tareque; Md Nazrul Islam Mondal; Ahbab Mohammad Fazle Rabbi; Hafiz T A Khan; Sharifa Begum
Journal:  PLoS One       Date:  2017-07-24       Impact factor: 3.240

8.  Dependence- and Disability-Free Life Expectancy Across Eight Low- and Middle-Income Countries: A 10/66 Study.

Authors:  A Matthew Prina; Yu-Tzu Wu; Carolina Kralj; Daisy Acosta; Isaac Acosta; Mariella Guerra; Yueqin Huang; Amuthavalli T Jotheeswaran; Ivonne Z Jimenez-Velazquez; Zhaorui Liu; Juan J Llibre Rodriguez; Aquiles Salas; Ana Luisa Sosa; Martin Prince
Journal:  J Aging Health       Date:  2019-01-30

9.  Women's excess unhealthy life years: disentangling the unhealthy life years gap.

Authors:  Wilma J Nusselder; Emmanuelle M Cambois; Dagmar Wapperom; France Meslé; Caspar W N Looman; Renata T C Yokota; Herman Van Oyen; Carrol Jagger; Jean Marie Robine
Journal:  Eur J Public Health       Date:  2019-10-01       Impact factor: 3.367

10.  Mind the gap--reaching the European target of a 2-year increase in healthy life years in the next decade.

Authors:  Carol Jagger; Martin McKee; Kaare Christensen; Karolina Lagiewka; Wilma Nusselder; Herman Van Oyen; Emmanuelle Cambois; Bernard Jeune; Jean-Marie Robine
Journal:  Eur J Public Health       Date:  2013-03-13       Impact factor: 3.367

View more
  2 in total

1.  Social Determinants of Remaining Life Expectancy at Age 60: A District-Level Analysis in Germany.

Authors:  Achim Siegel; Jonas F Schug; Monika A Rieger
Journal:  Int J Environ Res Public Health       Date:  2022-01-29       Impact factor: 3.390

2.  Macro-level factors explaining inequalities in expected years lived free of and with chronic conditions across Spanish regions and over time (2006-2019).

Authors:  Elisenda Rentería; Pilar Zueras
Journal:  SSM Popul Health       Date:  2022-07-02
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.