Evidence map›Paper›PMID 23722269›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2013

Inequalities in noncommunicable disease mortality in the ten largest Japanese cities.

Megumi Kano, Miyuki Hotta, Amit Prasad

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

3 authors.

Megumi KanoCentre for Health Development, World Health Organization, I.H.D. Centre Building 9F, 1-5-1 Wakinohama-Kaigandori, Chuo-ku, Kobe, 651-0073, Japan, Kanom@who.int.
Miyuki Hotta
Amit Prasad

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The burden of noncommunicable diseases and social inequalities in health among urban populations is becoming a common problem around the world. This phenomenon is further compounded by population aging. Japan faces the task of maintaining its high level of population health while dealing with these challenges. This study focused on the ten largest cities in Japan and, using publicly available administrative data, analyzed standardized mortality ratios to examine inequalities in relative mortality levels due to major noncommunicable disease at both city and subcity levels. On average, the ten major cities had excess mortality due to cancer and lower mortality due to heart disease and cerebrovascular disease compared to the country as a whole. Substantial inequalities in relative mortality were observed both between and within cities, especially for heart disease and cerebrovascular disease among men. Inequalities in relative mortality levels within cities appear to be increasing over time even while relative mortality levels are decreasing overall. The widely observed health inequalities signal the need for actions to ensure health equity while addressing the burden of noncommunicable diseases. Increasingly, more countries will have to deal with these challenges of inequity, urbanization, aging, and noncommunicable diseases. Local health governance informed by locally specific data on health determinants and outcomes is essential for developing contextualized interventions to improve health and health equity in major urban areas.

Indexed as

Health Status DisparitiesAge DistributionAgingCardiovascular DiseasesCerebrovascular DisordersCross-Sectional StudiesFemaleHumansJapanMaleMortalityNeoplasmsSex DistributionSocioeconomic FactorsUrban HealthUrbanization

Identifiers

PMID23722269
PMCPMC3853170

What OpenQuestion holds

Textmetadata
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.