demography of ageing Flashcards
humans
are a protected species so we dont have predators
life span- maximum survival for that species- defined from birth
life expectancy- average expected survival, defined from point of origin
mortality rate- number of deaths/number in population
survival in human populations
global variation in life expectancy
1800s- LE of 29
1950- greater variation across world- in europe and north america, LE was 68-72 but some countries in africa and south asia were 27-35
2015- increased across the world to over 60, highest in canada, australia and europe but still lowest LE in africa and south asia at 52-60
2019- highets in japan (84.6), south korea (83) and UK (81.3)
increased life expectancy
LE for people born now much greater than people born 100 years ago
- healthcare developed
- better knowledge about disease
- diet and nutrition
- better quality of livng
- safer workplaces
- better sanitation
life expectancy males vs females
higher in females in UK and in world average
UK female vs male = 83.06 vs 79.76
world female vs male= 75.2 vs 70.41
males projected life expectancy
LE recently has slightly tailed off- is stalling
reasons- weather, austerity- reduction in public expenditure on health + care, migration- individuals from poor background still suffering effects leading to lower LE, infectious disease outbreaks, alzheimers/ dementia
changes in causes of death
in females from 2001-2017
dementia and alzheimers gradually icnreasing
heart disease reducing as cause
resp diseases still similar
survival curve
shows life expectancy
survival will depend oon events occured in early life
rectangularisation of surival curve shows a greater amount of people surviving to old age –> reduction of infectious disease and treatment of chronic disease
contributors to increased life expectancy
improved housing, sanitation and antiseptics
public health, immunisation and hygiene
antibiotics, health and education
recent biomedical breakthroughs
these changes reduce infant mortality increasing life expectancy
factors influencing population structure
mortality- deaths
fertility- new babies
migration- in and out
population stability
currently need 2.1 babies per mother to keep population stable
most countries have fertility of <2, less babies being born than mothers with children
south korea, japan and germany all have lower number of children per women 1.08-1.6
consequences of ageing population
very large proportion of individuals 25-64 also an increased proportion of 65+
in japan, large proportion of people over 65 but a decreased fertility rate
old age dependency- need for support
morbidity
having disease/ amount of disease
compression of morbidity- delaying disease until end of life
increased life expectancy but greater duration of life in poor health
aiming to postpone chronic disease so that individuals suffer for eless time- at the end of life when they struggle with disease
want to increase life expectancy and health expectancy