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“13 years separate the better off from the poorest”: where do we live the oldest in Ile-de-France?

2021-02-16T08:10:18.499Z


For the first time, the Regional Health Observatory is publishing a detailed atlas of health data in the 1287 municipalities in the Ile-de-France region, q


Almost 12 years of more life expectancy when you live in the 16th arrondissement of Paris rather than in Jouarre (Seine-et-Marne)!

This is one of the shocking lessons of the unprecedented study commissioned by the regional health agency (ARS) on the 1287 municipalities in the Ile-de-France region and which we are unveiling exclusively.

This particularly detailed study was carried out in partnership with the Regional Health Observatory (ORS), the Paris Region Institute and the regional council.

Without real surprise, the 16th arrondissement of Paris, particularly wealthy, holds the record for longevity in Ile-de-France: 84.7 years for men.

This is therefore almost 12 years more than the 72.8 years of male life expectancy in Jouarre, 70 kilometers away.

In this small rural town (4,437 inhabitants), the gap is even worse for women, who live on average 79.4 years, while they reach 92.2 years on average in Plessis-Trévise (Val-de-Marne ), almost 13 more years!

At the regional level, the average is 80.6 years for men and 86.1 for women.

13 years of longevity separate the wealthy from the poorest

"A study by INSEE shows that life expectancy continues to increase, but more or less rapidly depending on social position", decrypts the ORS.

“It is always the workers who live the shortest time and the executives and higher intellectual professions who have the longest life expectancy: among men, a gap of 13 years separates the wealthiest from the poorest.

These inequalities are all the more unjust as they are doubled by a number of years in good health, all the more reduced as one goes down the social scale, ”write the authors of the study.

As we know, "it is better to be rich and in good health than poor and sick", but one of the interests of this study is to quantify it so precisely.

In this it is a first.

But comparing municipalities with each other is not enough.

This is why the study by the Regional Health Observatory endeavors to synthesize, for each municipality, the main indicators from a multitude of databases, accessible via an interactive map of Ile-de-France online on the website of the ORS and that of the Paris Region Institute.

Alongside life expectancy and early mortality, we discover the proportion of the population exposed to air, water, soil or noise pollution, the socio-demographic profiles of the populations, the contexts of life, the levels of supply and access to care, the main causes of death, prevention and accessibility to urban services as well as to physical activities, etc.

The consumption of tobacco and alcohol but also the practice of sport scrutinized

Enough to allow a more detailed understanding of each situation.

In Jouarre, for example, the population is not exposed to any environmental pollution or nuisance.

But it is rather disadvantaged and a little older than the average Ile-de-France.

"There are not many inhabitants and the presence of an institution for the elderly explains this over-representation of seniors", analyzes Catherine Mangeney, researcher at the ORS.

An element which also explains the greater proportion of Alzheimer's and other dementias.

In the most privileged municipalities, we see that most health indicators are green: tobacco and alcohol consumption is lower than average, the proportion of inhabitants holding a sports license is higher than elsewhere ... Isolation, the number of doctors in the municipality and prevention policies also play an important role.

"It should be noted that the level of access to care explains 20% of the inequalities in mortality", underlines Catherine Mangeney.

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But how can this wealth of information be a game-changer?

"If we want to develop partnerships with local communities, everyone must have data that is easy to find and scientifically interpreted," explains Luc Ginot, director of public health at ARS.

A way of "giving the municipalities the means to understand what is happening at home and to find their bearings in relation to their neighbors of their EPCI

(Editor's note: public establishment of inter-municipal cooperation)

and to the region", continues -he.

A tool to locally adapt prevention policies

No question, however, to limit oneself to the map and its synthetic files.

“The discussion will spring from the data, insists Luc Ginot.

It is not the map that will tell us whether there are fewer lung cancer because there are fewer workers exposed or because there has been an effective tobacco control policy.

We then need a field vision, resulting from discussions between elected officials, health professionals, local associations… ”

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On the other hand, these maps give indicators for adapting the local prevention policy: “For example, if obesity is very present and the sport is low, the city can decide to carry out an incentive policy, explains Catherine Mangeney.

Knowing the proportion of children attending school in the municipality is important since it allows us to know where to develop these preventive actions.

"

"We often have difficulty obtaining figures"

A “good tool” eagerly awaited by local elected officials.

"It is often difficult to obtain figures, so for once an administration is working open-book, we can only be delighted", enthuses Olivier Klein, the mayor (DVG) of Clichy-sous- Wood (Seine-Saint-Denis).

"We have a city health workshop with which we are working well on the prevention of diseases whose prevalence is assumed or known in our territories, such as breast cancer screening for example," explains the elected official.

With some success since the morbidity associated with this pathology is almost half that of the region.

“Having solid statistical data, collected in a single tool, will allow us to see on which subjects we should focus, improve our work with the intercommunal hospital and health professionals.

"And, perhaps, better to highlight the problem related to diabetes in his municipality and the" number of endocrinologists and diabetologists not at all in connection with our needs ".

As president of Anru (National Agency for Urban Renovation), he also sees other applications.

“Post-Covid, we must also look at city policy and urban renewal under a more important prism, by thinking about urban density for example.

"

“The determinants of health are partly genetic, biological or linked to the health system, but they also largely relate to the contexts of life, work and the social situation of individuals,” concludes the ORS.

Population densities and urbanization rates also provide information… on the risk of propagation during an epidemic.

Source: leparis

All news articles on 2021-02-16

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