Evidence map›Paper›PMID 42651463›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

How Do Profiles of Greed Map onto Multifaceted Well-Being?

Xiaoyan Ma, Dongdong Liu, Jing Dang, Chenggang Wu

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Xiaoyan MaKey Laboratory of Multilingual Education with AI, School of Education, Shanghai International Studies University, Shanghai 201620, China.
Dongdong LiuCollege of Teacher Education, Suqian University, Suqian 223800, China.
Jing DangCollege of Education, Inner Mongolia Normal University, Hohhot 010022, China.
Chenggang WuKey Laboratory of Multilingual Education with AI, School of Education, Shanghai International Studies University, Shanghai 201620, China.ORCID 0000-0003-3837-3841

Funding

China Association of Higher Educaiton 23GG0302Educational Science Research in Inner Mongolia Autonomous Region NGJGH22022434Inner Mongolia Normal University 2020YJRC024Ministry of Education of the People's Republic of China 24XJC880002Shanghai International Studies University 2024DSYL010Shanghai International Studies University 23ZD010Suqian University 2023XGJ002
6 · The paper itself

Abstract

Dispositional greed is often treated as a maladaptive trait, but its links to life satisfaction, presence of meaning, search for meaning, and psychological richness, from a person-centered approach, remain underexplored. We measured these constructs in 586 Chinese university students, then used correlation analysis, latent profile analysis (LPA), and the Bolck-Croon-Hagenaars (BCH) method to test associations and profile differences. Greed correlated positively with all four indicators. LPA yielded three profiles: Low-Greed (6.7%), Average-Greed (84.0%), and High-Greed (9.4%). BCH analyses showed significant differences in psychological richness, presence of meaning, and search for meaning. The effect on life satisfaction was marginal. The Low-Greed profile scored lower than the other two profiles on psychological richness and search for meaning; the High-Greed profile also exceeded the Average-Greed profile on search for meaning. These results suggest that greed is not uniformly detrimental. Its links to well-being are graded: strongest for search for meaning and psychological richness, weakest for life satisfaction.

Indexed as

greedlatent profile analysislife satisfactionmeaning in lifepsychological richnesswell-being

Identifiers

PMID42651463
PMCPMC13509675

What OpenQuestion holds

Textmetadata
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.