Evidence map›Paper›PMID 31665134›Full record

ArticlePloS one2019

Tobacco smoke exposure as a risk factor for human papillomavirus infections in women 18-26 years old in the United States.

Philip Kum-Nji, Linda Meloy, Lori Keyser-Marcus

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 29 citations in OpenAlex.

  1. Nicotine consumption and folate insufficiency in pregnancy: a population-based cross-sectional study.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2025
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  5. Association between serum folate levels and blood concentrations of cadmium and lead in US adults.Environmental science and pollution research international · 2022
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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.

Philip Kum-NjiChildren's Hospital of Richmond at the Virginia Commonwealth University School of Medicine, Richmond, Virginia, United States of America.ORCID 0000-0002-1915-9551
Linda MeloyChildren's Hospital of Richmond at the Virginia Commonwealth University School of Medicine, Richmond, Virginia, United States of America.
Lori Keyser-MarcusDepartment of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Virginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough tobacco smoke has been associated with many infections, little is known of its association with human papillomavirus (HPV) infections among young adult women. The aim of the study was to explore the association of tobacco smoke exposure on HPV infections in young adult women in the United States. It was hypothesized that tobacco smoke exposure (both active and passive) as objectively measured by cotinine levels was associated with increased HPV infection in a national sample of 18 and 26 year-old women in the United States. STUDY METHODS AND

findingsThe NHANES 2007-2012 dataset was used in the analyses. A national representative sample of women 18 to 26 year old (N = 1,414) was included in the study. Infection with any HPV was determined by PCR while tobacco smoke exposure was determined by measuring serum cotinine levels. Women with cotinine levels <0.05 ng/mL were considered unexposed and those with levels > = 0.05 were considered as exposed. Exposed women were further categorized as passive smokers (cotinine levels 0.05-<10 ng/mL, while active smokers were those with cotinine levels = > 10ng/mL). Data were analyzed by descriptive statistics and multiple logistic regression analysis. Exposed women (passive smokers with cotinine levels > = 0.05ng/mL-10ng/mL) were almost 2 times (64% vs 35%) more likely to be infected with any HPV type than their unexposed counterparts (cotinine levels <0.05ng/mL). Also women who were active smokers (cotinine levels > = 10 ng/mL) were more than twice more likely (75%) to be infected with the virus than the unexposed counterparts. The relationship held true even after controlling for various socio-demographics. Indeed in the multiple regression analyses controlling for the various confounders, compared to their unexposed counterparts, women exposed to second hand smoke were more than twice more likely to have HPV infections (OR: 2.45; 95% C.I = 1.34-4.48). When compared to their unexposed counterparts, actively smoking women were more than 3.5 times more likely to be infected with HPV (OR = 3.56; 95% CI 1.23-10.30). Finally, a strong dose-response relationship was further demonstrated with increasing risk of HPV with each quartile of cotinine levels even after controlling for various confounders. The risk of HPV was lowest in the lowest quartile (Referent OR = 1) and increased steadily with each quartile of cotinine levels until the risk was highest among women with cotinine levels in the 4th quartile (OR = 4.16; 95% C.I. = 1.36-12.67).

conclusionBoth passive and active tobacco smoking were strongly associated with any HPV infection in 18 to 26 year old young women with a significant dose-response relationship. Future studies should explore the effect of tobacco smoke exposure among younger women less than 18 years of age.

Indexed as

Women's HealthAdolescentAdultFemaleHumansPapillomavirus InfectionsPrevalenceSocioeconomic FactorsTobacco Smoke PollutionTobacco SmokingUnited StatesYoung AdultTobacco Smoke Pollution

Identifiers

PMID31665134
PMCPMC6821098
OpenAlexW2982296770

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.