Evidence map›Paper›PMID 37426182›Full record

ArticleFrontiers in nutrition2023

Associations of lifestyle with mental health and well-being in Chinese adults: a nationwide study.

Xue Wang, Yibo Wu, Xinji Shi, Yu Chen, Yahong Xu, Hongbo Xu, Yanan Ma, Shuang Zang

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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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

8 authors.

Xue WangDepartment of Community Nursing, School of Nursing, China Medical University, Shenyang, Liaoning, China.
Yibo WuSchool of Public Health, Peking University, Beijing, China.
Xinji ShiDepartment of Community Nursing, School of Nursing, China Medical University, Shenyang, Liaoning, China.
Yu ChenSchool of Nursing, Southern Medical University, Guangzhou, Guangdong, China.
Yahong XuDepartment of Fundamental of Nursing, School of Nursing, Capital Medical University, Beijing, China.
Hongbo XuDepartment of Medical Nursing, School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yanan MaDepartment of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
Shuang ZangDepartment of Community Nursing, School of Nursing, China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A healthy lifestyle is beneficial to individuals' health. However, little is known about the associations of lifestyle factors with mental health and well-being. This study examined the associations of lifestyle factors with mental health (i.e., depression, anxiety, loneliness, perceived pressure, and self-rated health status) and well-being in Chinese adults. Methods: A nationally representative survey was conducted in China from 20 June 2022 to 31 August 2022. Data from the survey were analyzed using multiple linear regression to determine the associations of lifestyle with mental health and well-being in Chinese adults. Standardized regression coefficients (β) and 95% confidence intervals (CIs) were estimated using multiple linear regression. Results: The survey included 28,138 Chinese adults. Multiple linear regression results showed that there were significant negative associations of lifestyle scores with scores of depression ( Conclusion: This study provides insight into the associations of lifestyle factors with mental health and well-being and highlights the importance of improving and maintaining healthy lifestyle behaviors for favorable mental health and well-being.

Indexed as

adultsChinalifestylemental healthwell-being

Identifiers

PMID37426182
PMCPMC10327438

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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.