Evidence map›Paper›PMID 32674964›Full record

ArticleThe Journal of adolescent health : official publication of the Society for Adolescent Medicine2020

Medical Vulnerability of Young Adults to Severe COVID-19 Illness-Data From the National Health Interview Survey.

Sally H Adams, M Jane Park, Jason P Schaub, Claire D Brindis, Charles E Irwin

Abstract read
In one paragraph

Article in The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Youth perceptions of e-cigarette-related risk of lung issues and association with e-cigarette use.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 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

5 authors.

Sally H AdamsDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, UCSF Benioff Children's Hospital, University of California San Francisco, San Francisco, California. Electronic address: Sally.Adams@ucsf.edu.
M Jane ParkDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, UCSF Benioff Children's Hospital, University of California San Francisco, San Francisco, California.
Jason P SchaubDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, UCSF Benioff Children's Hospital, University of California San Francisco, San Francisco, California.
Claire D BrindisDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, UCSF Benioff Children's Hospital, University of California San Francisco, San Francisco, California; Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, California.
Charles E IrwinDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, UCSF Benioff Children's Hospital, University of California San Francisco, San Francisco, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCOVID-19 morbidity and mortality reports in the U.S. have not included findings specific to young adults. The Centers for Disease Control and Prevention provides a list of conditions and associated behaviors, including smoking, conferring vulnerability to severe COVID-19 illness regardless of age. This study examines young adults' medical vulnerability to severe COVID-19 illness, focusing on smoking-related behavior.

methodsA young adult subsample (aged 18-25 years) was developed from the National Health Interview Survey, a nationally representative data set, pooling years 2016-2018. The medical vulnerability measure (yes vs. no) was developed, guided by the Centers for Disease Control and Prevention medical indicators. The estimates of medical vulnerability were developed for the full sample, the nonsmoking sample, and the individual risk indicators. Logistic regressions were conducted to examine differences by sex, race/ethnicity, income, and insurance.

resultsMedical vulnerability was 32% for the full sample and half that (16%) for the nonsmoking sample. Patterns and significance of some subgroup differences differed between the full and the nonsmoking sample. Male vulnerability was (33%) higher than female (30%; 95% CI: .7-.9) in the full sample, but lower in nonsmokers: male (14%) versus female (19%; 95% CI: 1.2-1.7). The white subgroup had higher vulnerability than Hispanic and Asian subgroups in both samples-full sample: white (31%) versus Hispanic (24%; 95% CI: .6-.9) and Asian (18%; 95% CI: .4-.5); nonsmokers: white (17%) versus Hispanic (13%; 95% CI: .06-.9) and Asian (10%; 95% CI: .3-.8).

conclusionsNotably, lower young adult medical vulnerability within nonsmokers versus the full sample underscores the importance of smoking prevention and mitigation.

Indexed as

Vulnerable PopulationsAdolescentAdultCoronavirus InfectionsCOVID-19Cross-Sectional StudiesFemaleHealth SurveysHumansMalePandemicsPneumonia, ViralSeverity of Illness IndexSmokingSocioeconomic FactorsUnited StatesMedical vulnerability for severe COVID-19 illnessSmokingYoung adults

Identifiers

PMID32674964
PMCPMC7355323

What OpenQuestion holds

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Registered trials

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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.