Evidence map›Paper›PMID 40181238›Full record

ArticleBMC psychology2025

A longitudinal network analysis of the relationship between love addiction, insecure attachment patterns, and interpersonal dependence.

Chongyuan Guan, Junyang Wang, Luqing Zhang, Zhou Xu, Yuanyuan Zhang, Baona Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Chongyuan GuanSchool of Public Health, Dalian Medical University, Dalian, Liaoning, China.
Junyang WangSchool of Public Health, Dalian Medical University, Dalian, Liaoning, China.
Luqing ZhangSchool of Management, Capital Normal University, Beijing, China.
Zhou XuSchool of Stomatology, Peking University School of Medicine, Beijing, China.
Yuanyuan ZhangSchool of Public Health, Dalian Medical University, Dalian, Liaoning, China. zhangyuan@dmu.edu.cn.
Baona JiangScience and Technology Department, Dalian Medical University, Liaoning, Dalian, China. nanab@126.com.

Funding

Liaoning Bai Qian Wan Talents Program 2022lslwzzkt-011Liaoning Social Science Planning Fund Project number 581University Scientific Research Items by Educational Department of Liaoning Province LJKZR20220102
6 · The paper itself

Abstract

The present study employed a network analysis approach to explore interrelationships among love addiction, attachment anxiety, attachment avoidance, and interpersonal dependence. The sample included 80 couples (N = 160) in romantic relationships, assessed longitudinally through online self-reports at the study's initiation and three months later. The findings revealed that attachment anxiety correlated strongly with low self-confidence, attachment avoidance related to autonomy, and love addiction showed a positive association with emotional dependence but a negative association with attachment avoidance. These findings underscore the associations among love addiction, insecure attachment patterns, and dimensions of interpersonal dependence. Addressing the core link between love addiction and insecure attachment patterns may enhance the psychological well-being of both partners in a couple.

Indexed as

Behavior, AddictiveDependency, PsychologicalInterpersonal RelationsLoveObject AttachmentSexual PartnersAdultAnxietyFemaleHumansLongitudinal StudiesMaleMiddle AgedSelf ConceptYoung AdultAttachment anxietyAttachment avoidanceInterpersonal dependenceLove addictionNetwork analysis

Identifiers

PMID40181238
PMCPMC11966886

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.