Evidence map›Paper›PMID 29541429›Full record

ArticleInternational journal of preventive medicine2018

Effect of Secondhand Smoking, Determined by Urinary Cotinine Level on Bone Health.

Ji Hyun Moon, Mi Hee Kong, Hyeon Ju Kim

Open access · goldAbstract read
In one paragraph

Article in International journal of preventive medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 34% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Analysis of Assessment Methods for Detecting Nicotine Residue and Its Impact on Humans: A Systematic Review.International journal of environmental research and public health · 2025
    Pooled it
  2. Secondhand Tobacco Exposure Assessed Using Urinary Cotinine Among 10-Year-Old Children in Japan: An 11-Year Repeated Cross-sectional Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
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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

3 authors at 1 institution in 1 country.

Ji Hyun MoonDepartment of Family Medicine, Jeju National University Hospital, Jeju Self-governing Province, Republic of Korea.
Mi Hee KongDepartment of Family Medicine, Jeju National University Hospital, Jeju Self-governing Province, Republic of Korea.
Hyeon Ju KimDepartment of Family Medicine, Jeju National University Hospital, Jeju Self-governing Province, Republic of Korea.
Jeju National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated the relationship between secondhand smoke (SHS) inhalation, as verified by urinary cotinine levels, and bone health.

methodsWe analyzed the nationwide, population-based, cross-sectional health survey. We included 1936 men aged 50 years or older who checked bone mineral density (BMD) from the Korean National Health and Nutrition Examination Survey (2008-2010). Current smokers assessed by urinary cotinine levels higher than 500 ng/mL were excluded (

resultsThe estimated prevalence of SHS exposure in our cohort was 13.9%. After adjusting for age and body mass index (BMI), T-scores at total femur (

conclusionsOur findings suggest that SHS exposure, determined by urinary cotinine levels, is negatively associated with BMD and is a leading cause of impaired bone health in Korean men.

Indexed as

Biomarkerbone densitycotininetobacco smoke pollution

Identifiers

PMID29541429
PMCPMC5843954
OpenAlexW2793498366

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.