The gap between the life expectancy of the richest and poorest sectors of society in England is increasing.
This is the finding of new research from Imperial College London.
The research, published in the journal Lancet Public Health, also reveals that the life expectancy of England’s poorest women has fallen since 2011, in what researchers say is a “deeply worrying” trend.
We currently have a perfect storm of factors that can impact on health, and are leading to poor people dying younger Professor Majid Ezzati Study author
The results revealed the life expectancy gap between the most affluent and most deprived sectors of society increased from 6.1 years in 2001 to 7.9 years in 2016 for women, and from 9.0 to 9.7 years in men.
The life expectancy of women in the most deprived communities in 2016 was 78.8 years, compared to 86.7 years in the most affluent group. For men, the life expectancy was 74.0 years among the poorest, compared to 83.8 years among the richest.
The results also revealed that the life expectancy of women in the poorest sectors of society has dropped by 0.24 years since 2011.
Diseases diagnosed too late
Professor Majid Ezzati, senior author of the research from Imperial’s School of Public Health, said: “Falling life expectancy in the poorest communities is a deeply worrying indicator of the state of our nation’s health, and shows that we are leaving the most vulnerable out of the collective gain.
“We currently have a perfect storm of factors that can impact on health, and that are leading to poor people dying younger. Working income has stagnated and benefits have been cut, forcing many working families to use foodbanks. The price of healthy foods like fresh fruit and vegetables has increased relative to unhealthy, processed food, putting them out of the reach of the poorest.”
He added: “The funding squeeze for health and cuts to local government services since 2010 have also had a significant impact on the most deprived communities, leading to treatable diseases such as cancer being diagnosed too late, or people dying sooner from conditions like dementia.”
Poorer children more likely to die
The research team also analysed the illnesses that contributed to the widening life expectancy gap. Although they found that people in the poorest sectors died at a higher rate from all illnesses, a number of diseases showed a particularly stark difference between rich and poor.
Greater investment in health and social care in the most deprived areas will help reverse the worrying trends seen in our work Professor Majid Ezzati Study author
The diseases that led to particularly large loss of longevity in the poor compared to the rich were newborn deaths and children’s diseases, respiratory diseases, heart disease, lung and digestive cancers, and dementias. In 2016, children under five years old from the poorest sectors of society were 2.5 times as likely to die as children from affluent families.
“This study suggests the poor in England are dying from diseases that can be prevented and treated,” said Professor Ezzati. “Greater investment in health and social care in the most deprived areas will help reverse the worrying trends seen in our work. We also need government and industry action to eradicate food insecurity and make healthy food choices more affordable, so that the quality of a family’s diet isn’t dictated by their income."
The team conducted their analysis by using information on the where each death occurred, which was matched to small areas of England known as lower super output areas by the Office of National Statistics. These lower super output areas, which each have a population of around 1,500 people, are given a score of deprivation from the Office of National Statistics (called an Index of Multiple Deprivation). The research team point out this means the comparisons are based on a community’s deprivation and affluence, and not that of individuals.
“Contributions of diseases and injuries to widening life expectancy inequalities in England from 2001 to 2016: a population-based analysis of vital registration data” by J. Bennett at al. is published in Lancet Public Health.
Article text (excluding photos or graphics) © Imperial College London.
Photos and graphics subject to third party copyright used with permission or © Imperial College London.
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