Evidence map›Paper›PMID 30499783›Full record

ArticleEpidemiology (Cambridge, Mass.)2019

High Birth Weight, Early UV Exposure, and Melanoma Risk in Children, Adolescents, and Young Adults.

Katherine Y Wojcik, Loraine A Escobedo, Ashley Wysong, Julia E Heck, Beate Ritz, Ann S Hamilton, Joel Milam, Myles G Cockburn

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Sun Safety Policy Implementation in Australian Primary Schools.The Australasian journal of dermatology · 2025
    Article
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  5. Observational
  6. Review
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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

8 authors at 3 institutions in 2 countries.

Katherine Y WojcikFrom the Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Loraine A EscobedoDivision of Vital Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD.
Ashley WysongDepartment of Dermatology, University of Nebraska Medical Center, Omaha, NE.
Julia E HeckDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA.
Beate RitzDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA.
Ann S HamiltonFrom the Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Joel MilamFrom the Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Myles G CockburnFrom the Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Novem (Netherlands) · NLUniversity of California, Los Angeles · USUniversity of Southern California · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
CALIFORNIA COORDINATED CANCER PREVENTION & CONTROL PROGRAMU58DP003862 · DP · CALIFORNIA STATE DEPT OF PUBLIC HEALTH · PI SNIPES, KURT P · 2012 to 2014
$31.5M
Training grant for Cancer Control and EpidemiologyT32CA009492 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN · 1985 to 2019
$7.4M
An innovative, curriculum-based integrated sun exposure behavior intervention forR01CA158407 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI COCKBURN, MYLES G · 2012 to 2015
$2.5M
Biobehavioral Cancer Prevention and Control Training Program (BCPT)T32CA092408 · NCI · UNIVERSITY OF WASHINGTON · PI Margaret A Hannon · 2016 to 2026
$2.3M
INNOVATIVE SOLUTIONS TO SPATIAL UNCERTAINTY IN GEOCODINGR01CA195218 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI COCKBURN, MYLES G, LANGHOLZ, BRYAN M. · 2015 to 2016
$755k
Air Pollution and Childhood Cancers in CaliforniaR21ES018960 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HECK, JULIA · 2010 to 2011
$421k
Pesticide Exposure and Childhood Cancer StudyR21ES019986 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2011 to 2012
$409k
NCCDPHP CDC HHS U58 DP003862NCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS HHSN261201000140CNCI NIH HHS P30 CA046934NCI NIH HHS R01 CA158407NCI NIH HHS R01 CA195218NCI NIH HHS T32 CA009492NCI NIH HHS T32 CA092408NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R21 ES018960NIEHS NIH HHS R21 ES019986
6 · The paper itself

Abstract

backgroundMelanoma, the deadliest form of skin cancer, is the second most common cancer diagnosed before age 30. Little is known about potentially modifiable or intervenable risk factors specific to developing melanoma at a young age. The objective was to determine if high birth weight or higher early-life ultraviolet (UV) radiation exposure would be associated with increased risk of melanoma in young patients.

methodsPopulation-based, case-control study of 1,396 cases of melanoma diagnosed before age 30 in 1988-2013 and 27,920 controls, obtained by linking cancer registry data to birth records in California.

resultsHigh birth weight (>4,000 g) was associated with 19% higher risk of melanoma (OR = 1.19; 95% CI = 1.02, 1.39), while low birth weight (<2,500 g) was associated with 41% lower risk (OR = 0.59; 95% CI = 0.43, 0.82), compared with normal birth weight (2,500-4,000 g); dose-response per 1,000 g increase was also evident (OR = 1.24; 95% CI = 1.13, 1.36). All quartiles of birthplace UV greater than the lowest quartile were associated with increased melanoma risk. The strongest relation between birthplace UV and melanoma was for 15-19 years of age at diagnosis.

conclusionsHigh birth weight and high early-life UV exposure may be important independent risk factors for melanoma diagnosis before age 30. The implication is that adopting skin-protective behaviors as early as infancy could be important for primary prevention of melanoma in younger people. However, research that accounts for early-life behavioral patterns of skin protection during infancy is needed to advance our understanding of how birth weight and early-life UV may influence the development of early-onset melanoma.

Indexed as

AdolescentBirth WeightChildYoung AdultAdultCaliforniaCase-Control StudiesChild, PreschoolEnvironmental ExposureFemaleHumansMaleMelanomaRace FactorsRiskRisk Factors

Identifiers

PMID30499783
PMCPMC6435257
OpenAlexW2903565819

What OpenQuestion holds

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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.