Evidence map›Paper›PMID 37988393›Full record

ArticlePloS one2023

Lifestyle behaviours and associated factors among people with type 2 diabetes attending a diabetes clinic in Ningbo, China: A cross-sectional study.

Naomi Carter, Jialin Li, Miao Xu, Li Li, Shengnan Xu, Xuelan Fan, Shuyan Zhu, Prit Chahal, Kaushik Chattopadhyay

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Naomi CarterLifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0001-7005-7916
Jialin LiDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.
Miao XuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.
Li LiDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.
Shengnan XuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.
Xuelan FanDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.
Shuyan ZhuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.
Prit ChahalHealth Education England, Leeds, United Kingdom.
Kaushik ChattopadhyayLifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-3235-8168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The burden of type 2 diabetes (T2DM) in China is significant and growing, and this is reflected in high rates of T2DM in the city of Ningbo, China. Consequent impacts on morbidity, mortality, healthcare expenditure, and health-related quality of life, make this a problem of the utmost importance to address. One way to improve T2DM outcomes is to address lifestyle behaviours that may affect prognosis and complications, such as physical activity levels, dietary habits, smoking status, and alcohol intake. A cross-sectional survey was undertaken to describe the prevalence of being physically active, having a healthy diet, currently smoking, and currently drinking alcohol among people living with T2DM attending a diabetes clinic in Ningbo, China. Regression analysis was used to determine the factors associated with these lifestyle behaviours. We found a high prevalence of a healthy diet (97.8%, 95% CI 96.5-98.7%). Prevalence of being physically active (83.4%, 95% CI 80.6-85.9%), smoking (21.6%, 95% CI 18.8-24.6%), and alcohol drinking (32.9%. 95% CI 29.6-36.2%) appeared in keeping with those of the general population. Marked associations were demonstrated between male sex and smoking (OR 41.1, 95% CI 16.2-139.0), and male sex and alcohol drinking (OR 4.00, 95% CI 2.62-6.20). Correlation between lifestyle factors was demonstrated including between alcohol drinking and smoking, and between physical activity and reduced smoking. General diabetes self-management education programmes that address multiple lifestyle risk factors simultaneously may be beneficial in this population. Specific interventions targeting smoking cessation and reduction in alcohol drinking may be of benefit to men living with T2DM attending a diabetes clinic in Ningbo.

Indexed as

Diabetes Mellitus, Type 2Alcohol DrinkingChinaCross-Sectional StudiesHumansLife StyleMaleQuality of LifeRisk Factors

Identifiers

PMID37988393
PMCPMC10662728

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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.