Evidence map›Paper›PMID 32323158›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2020

Physical Activity Levels and Diabetes Prevalence in US Adults: Findings from NHANES 2015-2016.

Fanfan Zhao, Wentao Wu, Xiaojie Feng, Chengzhuo Li, Didi Han, Xiaojuan Guo, Jun Lyu

Abstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

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0cells of the map it votes in
22citing 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

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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

22 citing papers in PubMed.

  1. Association Between Daily Steps Measured by Accelerometry and Diabetes in ELSA-Brasil Participants.International journal of environmental research and public health · 2026
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  4. Age at menopause and multimorbidity in postmenopausal women.Przeglad menopauzalny = Menopause review · 2025
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  7. Why Type 2 Diabetes Risk Factors Are Concerningly High in Slum Areas?International journal of preventive medicine · 2025
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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

7 authors.

Fanfan ZhaoDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Wentao WuSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Xiaojie FengDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Chengzhuo LiDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Didi HanDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Xiaojuan GuoDepartment of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jun LyuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China. lyujun2020@jnu.edu.cn.ORCID http://orcid.org/0000-0002-2237-8771

Funding

National Social Science Foundation of China 16BGL183
6 · The paper itself

Abstract

introductionDiabetes is a major public health problem that is strongly influenced by lifestyle-related factors, with previous epidemiologic studies finding an inverse relationship between physical activity and the prevalence of diabetes. We aimed to quantify the prevalence of diabetes and determine whether a dose-response relationship is present between physical activity levels and diabetes.

methodsPopulation characteristics were compared between diabetic and nondiabetic subjects. Multiple logistic regression models were used to assess the association between different levels of physical activity and diabetes. Restricted cubic spline analysis was used to examine the dose-response relationship between physical activity and diabetes prevalence.

resultsCompared with those in the lowest physical activity quartile, participants in the highest quartile had a 42% lower prevalence of diabetes (odds ratio = 0.58, 95% confidence interval = 0.44-0.75, p < 0.001). A nonlinear dose-response relationship was observed (p nonlinearity < 0.05), with increased physical activity associated with a decreased prevalence of diabetes, with steeper reductions in the prevalence of diabetes at low activity levels than at high activity levels. These results were robust in both subgroup and sensitivity analyses.

conclusionsHigher levels of physical activity are associated with a lower prevalence of diabetes. The data indicated the presence of a nonlinear dose-response relationship in all of the included subjects, with steeper reductions in the prevalence of diabetes at low activity levels than at high activity levels. Increasing physical activity is therefore potentially a useful intervention for reducing the prevalence of diabetes.

Indexed as

AssociationDiabetesPhysical activityRestricted cubic spline

Identifiers

PMID32323158
PMCPMC7261295

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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.