Evidence map›Paper›PMID 37576843›Full record

ArticlePreventive medicine reports2023

Trends in mortality from major causes and lifestyle factors by per capita prefectural income: Ecological panel data analysis from 1995 to 2016 in Japan.

Nobuo Nishi, Kaori Kitaoka, Phap Tran Ngoc Hoang, Yukiko Okami, Keiko Kondo, Mizuki Sata, Aya Kadota, Mieko Nakamura, Katsushi Yoshita, Tomonori Okamura and 2 more

Abstract read
In one paragraph

Article in Preventive medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Nobuo NishiGraduate School of Public Health, St. Luke's International University, Tokyo, Japan.
Kaori KitaokaNCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan.
Phap Tran Ngoc HoangNCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan.
Yukiko OkamiNCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan.
Keiko KondoNCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan.
Mizuki SataDepartment of Preventive Medicine and Public Health, School of Medicine, Keio University, Tokyo, Japan.
Aya KadotaNCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan.
Mieko NakamuraDepartment of Community Health and Preventive Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan.
Katsushi YoshitaDepartment of Nutrition, Graduate School of Human Life and Ecology, Osaka Metropolitan University, Osaka, Japan.
Tomonori OkamuraDepartment of Preventive Medicine and Public Health, School of Medicine, Keio University, Tokyo, Japan.
Toshiyuki OjimaDepartment of Community Health and Preventive Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan.
Katsuyuki MiuraNCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Japan, trends in mortality and lifestyle have not been fully investigated according to subnational socioeconomic factors. Forty-seven prefectures (subnational units) were divided into quartiles by annual per capita prefectural income. Age-standardized mortality from all causes, cancer, heart disease, and stroke was averaged by quartile in 1995, 2000, 2005, 2010, and 2015. Data from the National Health and Nutrition Survey were obtained for periods 1 (1995-1997), 2 (1999-2001), 3 (2003-2005), 4 (2007-2009), 5 (2012), and 6 (2016). Body mass index (BMI), the intake of vegetables and salt, the number of steps, and the prevalence of current smoking and drinking for the 40-69-year age range were standardized by 10-year age groups in the 2010 Japanese population and were averaged by quartile. Differences in mortality and lifestyle by year and period, and quartile were tested using a two-way analysis of variance. Mortality decreased in both sexes and mortality in men from all causes, cancer, and stroke differed by quartile, with mortality highest in the first (lowest) quartile. BMI in men and smoking prevalence in women increased, whereas remaining lifestyle factors except for the prevalence of drinking decreased in women. BMI and the number of steps in both sexes and current smoking prevalence in women differed by quartile, with lower quartiles showing a higher BMI and fewer step counts. In conclusion, favorable trends and significant differences in mortality from all causes, cancer, and stroke in men and BMI in women were observed by per capita prefectural income level.

Indexed as

JapanLifestyleMortalityPanel dataPer capita prefectural income

Identifiers

PMID37576843
PMCPMC10415755

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.