Evidence map›Paper›PMID 37425149›Full record

ArticleFrontiers in psychology2023

Trajectories and influencing factors in adolescent procrastination behavior throughout the COVID-19 pandemic: a four-wave prospective longitudinal study.

Yongmei Wu, Tianyi Bu, Yunjia Xie, Ping Wei, Jinxin Zhao, Lu Chen, Kexin Qiao, Yan Wang, Jiarun Yang, Xiaohui Qiu and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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

14 authors at 3 institutions in 1 country.

Yongmei WuPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Tianyi BuPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Yunjia XiePsychology and Health Management Center, Harbin Medical University, Harbin, China.
Ping WeiPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Jinxin ZhaoPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Lu ChenBeijing Hospital, Beijing, China.
Kexin QiaoPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Yan WangPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Jiarun YangDepartment of Psychology, School of Education of Heilongjiang University, Harbin, China.
Xiaohui QiuPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Xiuxian YangPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Jiawei ZhouPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Zhengxue QiaoPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Yanjie YangPsychology and Health Management Center, Harbin Medical University, Harbin, China.
Harbin Medical University · CNBeijing Hospital · CNHeilongjiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the growing attention given to adolescent behavior problems, little is known about the trajectories and factors that have influenced adolescent procrastination during the COVID-19 pandemic. This study monitors changes in procrastination behavior among Chinese adolescents during the pandemic and identifies vulnerable groups. Methods: A four-wave study using a representative sample of 11-to 18-year-olds in China was conducted, with baseline data collected in June 2020 ( Results: The proportion and overall trends of adolescent procrastination increased with the pandemic. Higher parental over-protection was a contributing factor to the higher baseline levels leading to the faster growth of adolescent procrastination. The model identified three distinct trajectories of low-increasing [including 2,057 participants (49.5%)], moderate-stable [including 1,879 participants (45.2%)], and high-decreasing procrastination [including 220 participants (5.3%)]. More daily leisure screen-time, lower frequency of exercise weekly, and dissatisfaction with distance learning were the top three risk factors for moderate-stable and high-decreasing procrastination compared to low-increasing procrastination. Adolescents with mothers with a higher level of education were more liable to be high-decreasing procrastination than moderate-stable procrastination. Conclusion: The proportion and overall trends of adolescent procrastination increased with the pandemic. The categories of procrastination among adolescents during that time period were probed. Also, the study further clarified the risk factors for severe and moderate procrastination relative to no procrastination. Thus, effective procrastination prevention and intervention strategies need to be implemented to support adolescents, particularly those at risk.

Indexed as

adolescentCOVID-19latent growth curve modellatent growth mixture modelprocrastinationprospective study

Identifiers

PMID37425149
PMCPMC10324606
OpenAlexW4381802037

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.