Evidence map›Paper›PMID 27716825›Full record

ArticlePloS one2016

Neighborhood Characteristics and Cardiovascular Risk among Older People in Japan: Findings from the JAGES Project.

Yosuke Inoue, Andrew Stickley, Aki Yazawa, Kokoro Shirai, Airi Amemiya, Naoki Kondo, Katsunori Kondo, Toshiyuki Ojima, Masamichi Hanazato, Norimichi Suzuki and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

11 authors.

Yosuke InoueDepartment of Human Ecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Andrew StickleyDepartment of Human Ecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Aki YazawaDepartment of Human Ecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Kokoro ShiraiDepartment of Human Sciences, School of Law and Letters, University of the Ryukyus, Nakagami-gun, Okinawa, Japan.
Airi AmemiyaDepartment of Social Medicine, National Research Institute for Child Health and Development, Setagaya-ku, Tokyo, Japan.
Naoki KondoDepartment of Health and Social Behavior, School of Public Health, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Katsunori KondoCenter for Preventive Medical Sciences, Chiba University, Chiba City, Chiba, Japan.
Toshiyuki OjimaSchool of Medicine, Hamamatsu University School of Medicine, Hamamatsu City, Shizuoka, Japan.
Masamichi HanazatoCenter for Preventive Medical Sciences, Chiba University, Chiba City, Chiba, Japan.
Norimichi SuzukiCenter for Preventive Medical Sciences, Chiba University, Chiba City, Chiba, Japan.
Takeo FujiwaraDepartment of Global Health Promotion, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have found an association between neighborhood characteristics (i.e., aspects of the physical and social environment) and the incidence of cardiovascular disease (CVD) and elevated CVD risk. This study investigated the relationship between neighborhood characteristics and CVD risk among older people in Japan where research on this association is scarce. Data came from the Japan Gerontological Evaluation Study project; questionnaire data collected from 3,810 people aged 65 years or older living in 20 primary school districts in Aichi prefecture, Japan, was linked to a computed composite CVD risk score based on biomarker data (i.e., hemoglobin A1c, systolic blood pressure, diastolic blood pressure, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and estimated glomerular filtration rate). A sex-stratified multilevel linear regression analysis revealed that for male participants, living in neighborhoods with a higher perceived occurrence of traffic accidents and reduced personal safety was associated with an elevated CVD risk (coefficient = 1.08 per interquartile range increase, 95% confidence interval [CI] = 0.30 to 1.86) whereas males living in neighborhoods with a higher perceived proximity of exercise facilities had a lower risk (coefficient = -1.00, 95% CI = -1.78 to -0.21). For females, there was no statistically significant association between neighborhood characteristics and CVD risk. This study suggests that aspects of the neighborhood environment might be important for CVD morbidity and mortality in Japan, particularly among men.

Indexed as

AgedBlood PressureCardiovascular DiseasesCardiovascular SystemExerciseFemaleGlycated HemoglobinHumansIncidenceJapanLipoproteins, HDLLipoproteins, LDLMaleResidence CharacteristicsRisk FactorsGlycated HemoglobinLipoproteins, HDLLipoproteins, LDL

Identifiers

PMID27716825
PMCPMC5055291

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Registered trials

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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.