Evidence map›Paper›PMID 27413686›Full record

ArticlePreventive medicine reports2016

Lifetime cigarette smoking is associated with abdominal obesity in a community-based sample of Japanese men: The Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA).

Akira Fujiyoshi, Katsuyuki Miura, Sayaka Kadowaki, Koichiro Azuma, Sachiko Tanaka, Takashi Hisamatsu, Hisatomi Arima, Aya Kadota, Naoko Miyagawa, Naoyuki Takashima and 8 more

Abstract read
In one paragraph

Article in Preventive medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
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  17. Review
  18. Effects of PMScientific reports · 2019
    Article
  19. Article
  20. 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

18 authors.

Akira FujiyoshiDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan.
Katsuyuki MiuraDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan; Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Shiga, Japan.
Sayaka KadowakiDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan.
Koichiro AzumaInstitute for Integrated Sports Medicine, Keio University School of Medicine, Tokyo, Japan.
Sachiko TanakaDepartment of Medical Statistics, Shiga University of Medical Science, Shiga, Japan.
Takashi HisamatsuDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan; Department of Environmental Medicine and Public Health, Faculty of Medicine, Shimane University, Japan.
Hisatomi ArimaDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan; Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Japan.
Aya KadotaDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan; Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Shiga, Japan.
Naoko MiyagawaDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan.
Naoyuki TakashimaDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan.
Takayoshi OhkuboDepartment of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan.
Yoshino SaitohDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan.
Sayuki ToriiDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan.
Itsuko MiyazawaDepartment of Medicine, Shiga University of Medical Science, Shiga, Japan.
Hiroshi MaegawaDepartment of Medicine, Shiga University of Medical Science, Shiga, Japan.
Kiyoshi MurataDepartment of Radiology, Shiga University of Medical Science, Shiga, Japan.
Hirotsugu UeshimaDepartment of Public Health, Shiga University of Medical Science, Shiga, Japan; Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Shiga, Japan.
SESSA Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies from Western countries suggest that smokers tend to display greater abdominal obesity than non-smokers, despite showing lower weight. Whether this holds true in a leaner population requires clarification. Using indices of abdominal obesity including visceral adipose tissue, we examined whether lifetime cigarette smoking is associated with unfavorable fat distribution among Japanese men. From 2006 to 2008, we conducted a cross-sectional investigation of a community-based sample of Japanese men at 40-64 years old, free of cardiovascular diseases and cancer. Areas of abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were calculated using computed tomography. We divided participants into four groups: never-smokers; and tertiles of pack-years of smoking among ever-smokers. Using multivariable linear regression, we calculated adjusted means of obesity indices (VAT, SAT, VAT-SAT ratio [VSR], and waist-hip ratio [WHR]) for each group, and mean differences between consecutive groups. We analyzed 513 men (median age, 58.2 years; current smokers, 40.1%). Two-thirds showed body mass index (BMI) < 25 kg/m(2) (median, 23.5 kg/m(2)). Overall, greater lifetime smoking group was associated with greater WHR and VSR. On average, one higher smoking group was associated with 0.005 higher WHR (95% CI, 0.001-0.008; P = 0.005) and 0.041 greater VSR (95% CI, 0.009-0.073; P = 0.012) after adjustment for potential confounders, including BMI. In this sample of relatively lean Japanese men, greater lifetime smoking was associated with a metabolically more adverse fat distribution. Although smoking is commonly associated with lower BMI, minimizing the amount of lifetime smoking should be advocated.

Indexed as

Abdominal obesitySmokingVisceral adipose tissue

Identifiers

PMID27413686
PMCPMC4929077

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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.