Evidence map›Paper›PMID 28818242›Full record

ArticleAmerican journal of preventive medicine2017

Young Adult Risk Factors for Cancer: Obesity, Inflammation, and Sociobehavioral Mechanisms.

Yang Claire Yang, Moira P Johnson, Kristen M Schorpp, Courtney E Boen, Kathleen Mullan Harris

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.5field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Gender and Social Isolation across the Life Course.Journal of health and social behavior · 2022
    Article
  7. Article
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  11. Life-course trajectories of body mass index from adolescence to old age: Racial and educational disparities.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Article
  13. Socioeconomic Status and Biological Risks for Health and Illness Across the Life Course.The journals of gerontology. Series B, Psychological sciences and social sciences · 2020
    Article
  14. 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

5 authors at 1 institution in 1 country.

Yang Claire YangDepartment of Sociology, Lineberger Comprehensive Cancer Center, and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. Electronic address: yangy@email.unc.edu.
Moira P JohnsonDepartment of Sociology and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Kristen M SchorppDepartment of Sociology and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Courtney E BoenDepartment of Sociology and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Kathleen Mullan HarrisDepartment of Sociology and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
University of North Carolina at Chapel Hill · US

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
NICHD NIH HHS P01 HD031921NICHD NIH HHS P2C HD050924NICHD NIH HHS T32 HD007168
6 · The paper itself

Abstract

introductionThe paper assesses social disparities in the burdens of metabolic and inflammatory risks for cancer in the U.S. young adult population and examines psychosocial and behavioral mechanisms in such disparities.

methodsUsing data of 7,889 individuals aged 12-32 years from the National Longitudinal Study of Adolescent to Adult Health from 1994 to 2009, generalized linear models were used to assess the sex, race/ethnicity, and SES differences in the risks of obesity and inflammation, measured by C-reactive protein. Further tests examined the extent to which social isolation, smoking, physical inactivity, alcohol abuse, and illicit drug use explain social differentials in each biomarker outcome.

resultsWomen, blacks, Hispanics, and socioeconomically disadvantaged groups had higher risks of obesity and elevated C-reactive protein, with the SES gradients being more pronounced in female participants. Health-related behaviors showed large variation across sex, race, and SES strata. After adjusting for these behavioral variables, sex, and race disparities in obesity and excess inflammation in blacks diminished, whereas the adolescent SES disparity in obesity remained. The associations of adolescent and young adult SES disadvantage and inflammation were also explained by behavioral mechanisms. Behavioral factors associated with higher risks of obesity and inflammation differed, with the exception of fast food consumption, a risk factor for both.

conclusionsThis study provides new knowledge of social distribution of early life exposures to physiologic precedents to cancer development later in life with implications for prevention and early intervention of modifiable risky behaviors in adolescents and young adults.

Indexed as

Health Status DisparitiesSocioeconomic FactorsAdolescentAdultCost of IllnessC-Reactive ProteinEthnicityExerciseFast FoodsFeeding BehaviorFemaleHealth BehaviorHealth Risk BehaviorsHumansInflammationLongitudinal StudiesC-Reactive Protein

Identifiers

PMID28818242
PMCPMC5867534
OpenAlexW2749115549

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.