Evidence map›Paper›PMID 31963370›Full record

ArticleVaccines2020

Human Papillomavirus (HPV) Vaccine Uptake and the Willingness to Receive the HPV Vaccination among Female College Students in China: A Multicenter Study.

Dingyun You, Liyuan Han, Lian Li, Jingcen Hu, Gregory D Zimet, Haridah Alias, Mahmoud Danaee, Le Cai, Fangfang Zeng, Li Ping Wong

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 5 pooled it
10.0field-weighted citation impact, top 1% 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

91 citing papers in PubMed, 5 syntheses or guidelines pooled it, 143 citations in OpenAlex.

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31 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 3 countries.

Dingyun You.Department of Epidemiology, School of Public Health, Kunming Medical University, Kunming 650500, China.
Liyuan HanDepartment of Epidemiology, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo 315200, China.
Lian LiDepartment of Epidemiology, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo 315200, China.
Jingcen HuDepartment of Epidemiology, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo 315200, China.
Gregory D ZimetDepartment of Pediatrics, School of Medicine, Indiana University, 410 W, 10th St., HS 1001, Indianapolis, IN 46202, USA.
Haridah AliasCentre for Epidemiology and Evidence-Based Practice, Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
Mahmoud DanaeeCentre for Epidemiology and Evidence-Based Practice, Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
Le Cai.Department of Epidemiology, School of Public Health, Kunming Medical University, Kunming 650500, China.
Fangfang ZengDepartment of Epidemiology, School of Medicine, Jinan University, Guangzhou 510632, China.
Li Ping WongDepartment of Epidemiology, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo 315200, China.
Ningbo University · CNKunming Medical University · CNUniversity of Malaya · MYIndiana University – Purdue University Indianapolis · USJinan University · CN

Funding

National Key R&D Program of China 2017YFC1310902,2018YFC1315305National Natural Science Foundation of China 81660545,81960592Natural Science Foundation of Zhejiang Province LY17H260002Ningbo Health Branding Subject Fund PPXK2018-02Program for innovative Research team(in Science and Technology) in university of Yunnan Province (2018)134Sanming Project of Medicine in Shenzhen SZSM201803080
6 · The paper itself

Abstract

backgroundThis study aimed to determine human papillomavirus (HPV) vaccine uptake and willingness to receive HPV vaccination among female college students, in China, and its associated factors.

methodsAn online cross-sectional survey of female college students across the eastern, central, and western regions of China was undertaken between April and September 2019. Partial least squares structural equation modeling (PLS-SEM) was used to examine factors associated with the HPV vaccine uptake and willingness to receive the HPV vaccine.

resultsAmong the total 4220 students who participated in this study, 11.0% reported having been vaccinated against HPV. There are direct effects of indicators of higher socioeconomic status, older age (β = 0.084 and p = 0.006), and geographical region (residing in Eastern China, β = 0.033, and p = 0.024) on HPV vaccine uptake. Higher knowledge (β = 0.062 and p < 0.000) and perceived susceptibility (β = 0.043 and p = 0.002) were also predictors of HPV vaccine uptake. Of those who had not received the HPV vaccine, 53.5% expressed a willingness to do so. Likewise, social economic status indicators were associated with the willingness to receive the HPV vaccine. Total knowledge score (β = 0.138 and

conclusionsGeographical region and socioeconomic disparities in the HPV vaccination uptake rate and willingness to receive the HPV vaccine provide valuable information for public health planning that aims to improve vaccination rates in underserved areas in China. The influence of knowledge and perceptions of HPV vaccination suggests the importance of communication for HPV immunization.

Indexed as

Chinafemale college studentHPV vaccination uptakewillingness to receive

Identifiers

PMID31963370
PMCPMC7157221
OpenAlexW3000435079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.