Evidence map›Paper›PMID 27258389›Full record

ArticleCancer2016

Patterns and predictors of clustered risky health behaviors among adult survivors of childhood cancer: A report from the Childhood Cancer Survivor Study.

E Anne Lown, Nobuko Hijiya, Nan Zhang, Deo Kumar Srivastava, Wendy M Leisenring, Paul C Nathan, Sharon M Castellino, Katie A Devine, Kimberley Dilley, Kevin R Krull and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  10. Sex differences in comorbid conditions, health behaviors, health care utilization, and health-related quality of life among young adult cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
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  14. Functional Outcomes and Social Attainment in Asian/Pacific Islander Childhood Cancer Survivors in the United States: A Report from the Childhood Cancer Survivor Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
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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

15 authors at 10 institutions in 2 countries.

E Anne LownSocial and Behavioral Sciences, University of California, San Francisco, California.ORCID 0000-0002-7502-4459
Nobuko HijiyaDepartment of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Nan ZhangDivision of Health Sciences Research, Mayo Clinic, Scottsdale, Arizona.
Deo Kumar SrivastavaBiostatistics Division, Epidemiology/Cancer Control Department, St. Jude Children's Research Hospital, Memphis, Tennessee.
Wendy M LeisenringPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Paul C NathanDivision of Haematology/Oncology, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Sharon M CastellinoDepartment of Pediatric Hematology/Oncology, Emory School of Medicine, Atlanta, Georgia.
Katie A DevineDepartment of Medicine, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey.
Kimberley DilleyGeneral Pediatrics & Academic Medicine, Advocate Children's Hospital, Oak Lawn, Illinois.
Kevin R KrullEpidemiology/Cancer Control Department, St. Jude Children's Research Hospital, Memphis, Tennessee.
Kevin C OeffingerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Melissa M HudsonCancer Survivorship Division, Cancer Prevention & Control Program, St. Jude Children's Research Hospital, Memphis, Tennessee.
Gregory T ArmstrongEpidemiology/Cancer Control Department, St. Jude Children's Research Hospital, Memphis, Tennessee.
Leslie L RobisonEpidemiology/Cancer Control Department, St. Jude Children's Research Hospital, Memphis, Tennessee.
Kirsten K NessEpidemiology/Cancer Control Department, St. Jude Children's Research Hospital, Memphis, Tennessee.
St. Jude Children's Research Hospital · USAdvocate Children's Hospital · USEmory University · USFred Hutch Cancer Center · USHospital for Sick Children · CAMayo Clinic in Arizona · USMemorial Sloan Kettering Cancer Center · USNorthwestern University · USRutgers, The State University of New Jersey · USUniversity of California, San Francisco · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Mach-LETSGO: Machine-LEarning of Treatment, Survey, and Genetics towards Obtaining Correct Classification of Chronic Conditions in Adult Survivors in the Childhood Cancer Survivor Study - CCSS SupplU24CA055727 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Gregory Armstrong · 1999 to 2026
$96.7M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA021765NCI NIH HHS U24 CA055727
6 · The paper itself

Abstract

backgroundHealth complications related to childhood cancer may be influenced by risky health behaviors (RHBs), particularly when RHBs co-occur. To the authors' knowledge, only limited information is available describing how RHBs cluster among survivors of childhood cancer and their siblings and the risk factors for co-occurring RHBs.

methodsLatent class analysis was used to identify RHB clusters using longitudinal survey data regarding smoking, alcohol use, and physical activity from adult survivors (4184 survivors) and siblings (1598 siblings) in the Childhood Cancer Survivor Study. Generalized logistic regression was used to evaluate associations between demographic characteristics, treatment exposures, psychological distress, health conditions, and cluster membership.

resultsThree RHB clusters were identified: a low-risk cluster, an insufficiently active cluster, and a high-risk cluster (tobacco and risky alcohol use and insufficient activity). Compared with siblings, survivors were more likely to be in the insufficiently active cluster (adjusted odds ratio [ORadj ], 1.17; 95% confidence interval [95% CI], 1.06-1.27) and were less likely to be in the high-risk cluster (ORadj , 0.79; 95% CI, 0.69-0.88). Risk factors for membership in the high-risk cluster included psychological distress (ORadj , 2.76; 95% CI, 1.98-3.86), low educational attainment (ORadj , 7.49; 95% CI, 5.15-10.88), income <$20,000 (ORadj , 2.62; 95% CI, 1.93-3.57), being divorced/separated or widowed (ORadj , 1.36; 95% CI, 1.03-1.79), and limb amputation (ORadj , 1.52; 95% CI, 1.03-2.24). Risk factors for the insufficiently active cluster included chronic health conditions, psychological distress, low education or income, being obese or overweight, female sex, nonwhite race/ethnicity, single marital status, cranial radiation, and cisplatin exposure.

conclusionsRHBs co-occur in survivors of childhood cancer and their siblings. Economic and educational disadvantages and psychological distress should be considered in screening and interventions to reduce RHBs. Cancer 2016. © 2016 American Cancer Society. Cancer 2016;122:2747-2756. © 2016 American Cancer Society.

Indexed as

Health BehaviorOutcome Assessment, Health CareRisk-TakingAdultAlcohol DrinkingChildEducational StatusFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedNeoplasmsPredictive Value of TestsPrevalencealcoholchildhood cancerhealth behaviorpsychosocialsmokingsurvivors

Identifiers

PMID27258389
PMCPMC4992459
OpenAlexW2411916872

What OpenQuestion holds

Textmetadata
LicenceTDM
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.