Across all developed countries, there is a steep life expectancy gradient with respect to deprivation. This paper provides a theoretical underpinning for this gradient in line with the Grossman model, indicating that deprivation affects morbidity and, consequently, life expectancy in three ways: directly from deprivation to morbidity, and indirectly through lower income and a trade-off between investments in health and social status. Using rich German claims data covering 6.3 million insured people over four years, this paper illustrates that deprivation increases morbidity and reduces life expectancy. It was estimated that highly deprived individuals had approximately two more chronic diseases and a life expectancy reduced by 15 years compared to the least deprived individuals. This mechanism of deprivation is identified as fundamental, as deprived people remain trapped in their social status, and this status results in health investment decisions that affect long-term morbidity. However, in the German setting, the income and investment paths of the effects of deprivation were of minor relevance due to the broad national coverage of its SHI system. The most important aspects of deprivation were direct effects on morbidity, which accumulate over the lifespan. In this respect, personal aspects, such as social status, were found to be three times more important than spatial aspects, such as area deprivation.
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http://dx.doi.org/10.1007/s10754-024-09374-3 | DOI Listing |
Int Health
January 2025
Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Background: The life expectancy (LE) index reflects health changes in society, highlighting trends in health quality and quantity. This study focused on analysing the impact of the top 10 causes of death on the global increase in LE in 2019.
Methods: Data on the top 10 causes of death in 2019 were obtained from the Global Burden of Disease website and a period life table was used to assess how eliminating these causes would impact LE.
BMJ Open
December 2024
Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.
Objectives: The burden of cardiovascular disease (CVD) is increasing. Cardiac rehabilitation (CR) is a complex intervention offered to patients with CVD, following a heart event, diagnosis or intervention, and it aims to reduce mortality and morbidity. The objective of this within-trial economic evaluation was to compare the cost-effectiveness of metacognitive therapy (MCT) plus usual care (UC) to UC, from a health and social care perspective in the UK.
View Article and Find Full Text PDFJ Health Popul Nutr
January 2025
Student Research Committee, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Socioeconomic inequality in nutritional status as one of the main social determinants of health can lead to inequality in health outcomes. In the present study, the socioeconomic inequality in the burden of nutritional deficiencies among the countries of the world using Global Burden of Disease (GBD) data was investigated.
Methods: Burden data of nutritional deficiencies and its subsets including protein-energy malnutrition, iodine deficiency, vitamin A deficiency, and dietary iron deficiency form GBD study and Human Development Index (HDI), a proxy for the socio-economic status of countries, from united nations database were collected.
BMC Public Health
January 2025
Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
Background: Ischemic stroke, accounting for 85% of stroke cases, leads to severe disabilities and increased mortality. Its global incidence rose by 87.55% from 1990 to 2019, posing significant health and economic burdens.
View Article and Find Full Text PDFBMC Palliat Care
January 2025
Caring Futures Institute, Flinders University, Sturt Rd, Bedford Park, Adelaide, South Australia, 5042, Australia.
Background: Clinicians are frequently asked 'how long' questions at end-of-life by patients and those important to them, yet predicting timeframes to death remains uncertain, even in the last weeks and days of life. Patients and families wish to know so they can ask questions, plan, make decisions, have time to visit and say their goodbyes, and have holistic care needs met. Consequently, this necessitates a more accurate assessment of empirical data to better inform prognostication and reduce uncertainty around time until death.
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