Evidence map›Paper›PMID 38911318›Full record

ArticleNature and science of sleep2024

Latent Profiles and Transitions of Bedtime Procrastination Among Chinese College Students: The Predictive Roles of Anxiety, Depression, Problematic Smartphone Use and Self-Control.

Lan Hong, Huihui Xu, Jiaqi Zheng, Xiujian Lin, Lijun Wang, Chengjia Zhao, Xiaolian Tu, Jingjing Zhang, Ke Zhao, Guohua Zhang

Abstract read
In one paragraph

Article in Nature and science of sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
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.

Lan Hong *Lishui Second People's Hospital Affiliated to Wenzhou Medical University, Lishui, 323000, People's Republic of China.
Huihui Xu *School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, People's Republic of China.ORCID 0000-0002-0376-2444
Jiaqi ZhengSchool of Mental Health, Wenzhou Medical University, Wenzhou, 325035, People's Republic of China.
Xiujian LinSchool of Mental Health, Wenzhou Medical University, Wenzhou, 325035, People's Republic of China.ORCID 0009-0002-3633-4283
Lijun WangSchool of Mental Health, Wenzhou Medical University, Wenzhou, 325035, People's Republic of China.
Chengjia ZhaoSchool of Education, Renmin University of China, Beijing, 100872, People's Republic of China.
Xiaolian TuSchool of Renji, Wenzhou Medical University, Wenzhou, 325035, People's Republic of China.
Jingjing ZhangSchool of Nursing, Wenzhou Medical University, Wenzhou, 325035, People's Republic of China.
Ke ZhaoLishui Second People's Hospital Affiliated to Wenzhou Medical University, Lishui, 323000, People's Republic of China.
Guohua Zhang *Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou, 325035, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bedtime procrastination (BP) has become an important factor affecting individual well-being. This study aimed to assess the stability and changes in BP and examine risk and protective factors. Methods: The study recruited 1423 respondents. Latent profile analysis was used to identify subgroups of BP and latent transition analysis to determine transition probabilities for each subgroup. Logistic regression examined associations between identified classes and related factors. Results: Three subgroups of BP were identified. In terms of stability and changes, the moderate bedtime procrastination group showed the highest stability (66%), followed by the severe bedtime procrastination group (62.4%), and the mild bedtime procrastination group had a 52% probability of switching to moderate bedtime procrastination. In terms of influencing factors, more problematic phone use (PSU) (OR: 1.08; 95% CI = 1.05-1.12), more depression (OR: 1.17; 95% CI = 1.06-1.29) and anxiety (OR: 1.16; 95% CI = 1.05-1.28) are all factors that aggravate the transition from mild to moderate sleep procrastination. Similarly, PSU (OR: 1.15; 95% CI = 1.12-1.19), anxiety (OR: 1.10; 95% CI = 1.06-1.14), and depression (OR: 1.10; 95% CI = 1.06-1.14) increased the risk of severe bedtime procrastination. Self-control emerged as a protective factor against BP. Conclusion: This study identified three subgroups of BP at two time points and the rule of transition for each subgroup. Our findings indicate that BP were relatively stable, with some changes over time. The results also highlight the important function that PSU, depression, anxiety, and self-control can play in preventing and intervening in BP.

Indexed as

anxietybedtime procrastinationdepressionlatent profile analysislatent transition analysisproblematic smartphone useself-control

Identifiers

PMID38911318
PMCPMC11192292

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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.