Evidence map›Paper›PMID 39309952›Full record

ArticleHeliyon2024

The association between appetite and eating behaviors among Chinese female university students.

Jun Liu, Yiru Pan, Liuxi Wang, Ahui Tao, Yuanyuan Deng, Yue Qiu, Yifei Cao, Shufen Han, Xiao Yan, Xianrong Xu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Jun LiuDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Yiru PanDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Liuxi WangDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Ahui TaoDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Yuanyuan DengDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Yue QiuDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Yifei CaoDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Shufen HanDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Xiao YanDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Xianrong XuDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Xuexian FangDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.
Fuzhi LianDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Young females are at a higher risk of developing unhealthy eating behaviors. This study investigated the relationship between appetitive traits and eating behaviors among female university students. Methods: The study participants were 520 female university students from a public university in Eastern China. Appetitive traits were assessed using the Chinese version of the Adult Eating Behavior Questionnaire (C-AEBQ). Data on eating behaviors, including food intake frequency, meal regularity, and dieting behavior, were collected using self-administered questionnaires. The body mass index (BMI) was calculated using self-reported data. Pearson's and Spearman's correlations were used to correlate appetitive traits with BMI and eating behaviors. Latent profile analysis (LPA) was used to identify different appetitive patterns, and logistic regression was used to analyze the relationship between different appetitive patterns and eating behaviors. Results: Two food-approach traits (food enjoyment and emotional over-eating) were positively correlated with BMI, while two food-avoidance traits (slowness in eating and satiety responsiveness) showed negative correlations. Food responsiveness was linked to a higher intake of delivered food, spicy food, and sugar-sweetened beverages, whereas satiety responsiveness was correlated with more frequent meal skipping. The LPA identified four appetitive patterns: food approachers, food approachers with emotional under-eating, food avoiders, and food avoiders with emotional over-eating. Food avoiders had significantly lower BMI than the other groups. Compared to food approachers, food avoiders skipped breakfast more frequently, and food avoiders with emotional over-eating skipped both breakfast and lunch more often. After adjusting for BMI, appetitive patterns showed no significant relationship with dieting behavior. Conclusion: Among female university students, appetitive patterns correlated with eating behaviors, and students with food-avoidance patterns had a higher risk of meal irregularity. These findings emphasize the importance of implementing trait- and pattern-specific approaches to promote healthy eating behaviors among female university students.

Indexed as

Appetitive patternsAppetitive traitsBMIFemale university studentsFood choiceLatent profile analysisMeal regularity

Identifiers

PMID39309952
PMCPMC11414549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.