Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 14

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Mobile Phone Use and Risks of Overall and 25 Site-Specific Cancers: A Prospective Study from the UK Biobank Study

Zhang, Yanjun, Zhang, Yuanyuan, Ye, Ziliang, Yang, Sisi, Liu, Mengyi, Wu, Qimeng, Zhou, Chun, He, Panpan, Gan, Xiaoqin, Qin, Xianhui·2024·Cancer Epidemiology, Biomarkers & Prevention

Published version of a preprint

Abstract

Background: The association between mobile phone use and incident cancers remains uncertain. We aimed to investigate the relationships of mobile phone use with incident overall and 25 site-specific cancers in men and women. Methods: A total of 431,861 participants ages 38 to 73 years without prior cancers were included from the UK Biobank. Of these, 46.7% were male. Participants who used a mobile phone at least once per week to make or receive calls were defined as mobile phone users. The study outcomes were incident overall and 25 site-specific cancers. Results: During a median follow-up of 10.7 years, 35,401 (17.5%) men and 30,865 (13.4%) women developed overall cancer. Mobile phone use was significantly associated with higher risks of incident overall cancer [HR, 1.09; 95% confidence interval (CI): 1.06–1.12], nonmelanoma skin cancer (NMSC; HR, 1.08; 95% CI: 1.03–1.14), urinary tract cancer (HR, 1.18; 95% CI:1.05–1.32), and prostate cancer (HR, 1.19; 95% CI: 1.13–1.25) in men, and incident overall cancer (HR, 1.03; 95% CI: 1.00–1.06), NMSC (HR, 1.07; 95% CI: 1.01–1.13), and vulva cancer (HR, 1.74; 95% CI: 1.00–3.02) in women, but not with other cancers. Among mobile phone users, there was a dose–response relationship of length of mobile phone use with incident NMSC in men and women, and prostate cancer in men (all Ptrend < 0.05). Conclusions: There was a dose–response relationship of length of mobile phone use with incident NMSC in men and women, and prostate cancer in men. Impact: Our findings underscore the importance of limiting mobile phone use or keeping a distance from mobile phone for primary prevention of NMSC and prostate cancer.

Overview

Integrity signals

Registry

Crossref · 10.1158/1055-9965.epi-23-0766

Cites

21 of 21 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 21 references

Research works printed but not linked: 1

  1. IARC Working Group on the Evaluation of Carcinogenic Risks to Humans, 2013, Non-ionizing radiation, part 2: radiofrequency electromagnetic fields, IARC Monogr Eval Carcinog Risks Hum, 102, 1

Cited by

Metadata

Authors
Zhang, Y., Zhang, Y., Ye, Z., Yang, S., Liu, M., Wu, Q., Zhou, C., He, P., Gan, X., & Qin, X.
Affiliations
1Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Venue
Cancer Epidemiology, Biomarkers & Prevention
Published
2023-10-23
Volume
33
Issue
1
Pages
88-95
ISSN
  • 1055-9965
  • 1538-7755
Cited by
14
References
21
Language
en
Funders
  • National Key Research and Development Program of China (2022YFC2009600, 2022YFC2009605, 2018ZX09739)
  • National Natural Science Foundation of China-Guangdong Joint Fund (81973133)
  • Outstanding Youths Development Scheme of Nanfang Hospital, Southern Medical University (2017J009)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.