In the 1990 years from 2015 to 25, the average life expectancy in Japan increased by 4.2 years, while the difference between the prefecture with the longest life expectancy and the prefecture with the shortest life expectancy increased by 0.6 years. It was clarified in a joint survey by the University Health Index and Health Evaluation Institute.The research results were published in the online version of the English medical journal "Lancet".

A research group led by Professor Kenji Shibuya of the Graduate School of Medicine, the University of Tokyo analyzed changes in various health indicators nationwide and in 2015 prefectures over the 25 years until 47, using data from the Ministry of Health, Labor and Welfare.

それによると、日本人の平均寿命は1990年の79.0歳から2015年の83.2歳まで4.2歳上昇した。しかし、都道府県別でみると、1990年には最も平均寿命が長い長野県(80.2歳)と最も短い青森県(77.7歳)の差が2.5歳だったが、2015年は最も長い滋賀県(84.7歳)と最も短い青森県(81.6歳)の差が3.1歳になり、25年間で格差が0.6歳拡大している。

In 1990, the difference between the longest healthy life expectancy in Nagano prefecture (71.5 years old) and the shortest in Kochi prefecture (69.2 years old) was 2.3 years, while in 2015 the longest healthy life expectancy was Shiga prefecture (84.7 years old). The difference between Aomori prefecture (81.6 years old) and the shortest (3.1 years old) was 0.8 years old, and the gap widened by XNUMX years old.

The research group scrutinized the relationship between the number of doctors per population and risk factors of lifestyle, but could not clarify the cause.We believe that more detailed research on the quality of medical care and lifestyle habits is needed to elucidate it.

The mortality rate per 10 population decreased from 1990 in 584.1 to 2015 in 414.8.However, eating habits and smoking had the highest effects on illness, with smoking being associated with 18.9% of deaths in men and unhealthy eating habits such as excessive salt in 18.0% of deaths in women.

Paper information:[The Lancet]: Slowed-down progress in population health and increasing regional variations of disease burden in Japan, 1990-2015: a systematic subnational analysis for the Global Burden of Disease Study 2015

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