Evidence map›Paper›PMID 41204232›Full record

ArticleBMC public health2025

Factors influencing health-promoting lifestyles in young and middle-aged adults with metabolic risk factors: a network analysis.

Qun Wang, Sek Ying Chair, Weixiang Luo, Siyi Zhong, Zehao Huang

Abstract read
In one paragraph

Article in BMC public health, 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

5 authors.

Qun WangSchool of Nursing, Shenzhen University, Shenzhen, China.
Sek Ying ChairThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Weixiang LuoDepartment of Nursing, Shenzhen People's Hospital, Shenzhen, China.
Siyi ZhongSchool of Public Health, Shenzhen University, Shenzhen, China.
Zehao HuangThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China. zehaohuang@cuhk.edu.hk.

Funding

China's National Natural Science Foundation 72204166
6 · The paper itself

Abstract

backgroundMetabolic dysfunction is prevalent among young and middle-aged adults and impairs their health. Adopting healthy lifestyles is essential for preventing and managing these issues. By determining modifiable factors that influence health-promoting lifestyles, we can gain valuable insights for developing targeted lifestyle interventions. Therefore, this study aims to identify factors contributing to health-promoting lifestyles among young and middle-aged adults with metabolic risk factors.

methodsA cross-sectional study design was adopted. Data were obtained from 402 young and middle-aged adults with metabolic risk factors, recruited via convenience sampling from community health centers in China between October 2022 and April 2024. All participants were measured for knowledge (MetS Knowledge Scale), self-efficacy (Self-Rated Abilities for Health Practices Scale), social support (Social Support Rating Scale), depression (Hospital Anxiety and Depression Scale-Depression), anxiety (Hospital Anxiety and Depression Scale-Anxiety), and health-promoting lifestyles (Health-Promoting Lifestyle Profile II). The impact of self-efficacy, knowledge, social support, depression, anxiety on health-promoting lifestyles was estimated using regression and network analysis via SPSS and R program, respectively.

resultsThe mean scores for knowledge, social support, depression, anxiety, self-efficacy, and health-promoting lifestyles are 28.01 (SD = 12.31), 39.81 (SD = 7.52), 4.60 (SD = 3.25), 5.22 (SD = 3.50), 65.92 (SD = 22.43), and 58.25 (SD = 7.52), respectively. After controlling the covariates, the regression analysis showed that knowledge (β = 0.176, P < 0.001) and self-efficacy (β = 0.299, P < 0.001) are crucial predictors of dietary behaviors. Social support (β = 0.099, P = 0.027), depression (β=-0.181, P < 0.001), and self-efficacy (β = 0.434, P < 0.001) had significant effects on stress management. In addition, self-efficacy (β = 0.485, P < 0.001) plays an important role in physical activity. The network analysis further indicated that self-efficacy for psychological well-being serves as a core and bridge factor influencing health-promoting lifestyles among young and middle-aged adults with metabolic risk factors.

conclusionsSelf-efficacy, knowledge, social support, and depression are crucial factors for predicting health-promoting lifestyles in young and middle-aged adults with metabolic risk factors. Moreover, self-efficacy for psychological well-being is the key component that need to be prioritized when developing intervention programs to promote meaningful lifestyle changes.

Indexed as

Health PromotionHealthy LifestyleAdultAnxietyChinaCross-Sectional StudiesDepressionFemaleHealth Knowledge, Attitudes, PracticeHumansLife StyleMaleMiddle AgedRisk FactorsSelf EfficacySocial Network AnalysisHealth-promoting lifestylesMetabolic risk factorsNetwork analysisPredictors

Identifiers

PMID41204232
PMCPMC12595719

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.