Evidence map›Paper›PMID 36997910›Full record

ArticleBMC public health2023

Rural-urban differentials of prevalence and lifestyle determinants of pre-diabetes and diabetes among the elderly in southwest China.

Yi Zhao, Hui-Fang Li, Xia Wu, Guo-Hui Li, Allison Rabkin Golden, Le Cai

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  7. Phenotypic and Genetic Diversity in Diabetes Across Populations.The Journal of clinical endocrinology and metabolism · 2025
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  11. Review
  12. Beyond Numbers: Decoding the Gendered Tapestry of Non-Communicable Diseases in India.International journal of environmental research and public health · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Diabetes is affecting everyone everywhere.World journal of diabetes · 2024
    Article
  18. Review
  19. 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 at 2 institutions in 1 country.

Yi ZhaoSchool of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road,Cheng Gong New City, Kunming, 650500, China.
Hui-Fang LiThe First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China.
Xia WuSchool of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road,Cheng Gong New City, Kunming, 650500, China.
Guo-Hui LiSchool of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road,Cheng Gong New City, Kunming, 650500, China.
Allison Rabkin GoldenSchool of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road,Cheng Gong New City, Kunming, 650500, China.
Le CaiSchool of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road,Cheng Gong New City, Kunming, 650500, China. caile002@hotmail.com.
Kunming Medical University · CNFirst Affiliated Hospital of Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes has become a major public health problem in China. A better understanding of diabetes determinants and urban-rural differences is essential to crafting targeted diabetes prevention measures for the elderly living in both urban and rural areas. This study aimed to compare rural-urban differentials in prevalence and lifestyle determinants of pre-diabetes and diabetes among the elderly in southwest China.

methodsA cross-sectional health interview and examination survey was conducted among individuals aged ≥ 60 years in both a rural and urban area of China. Anthropometric measurements, including height, weight, and waist circumference, as well as blood pressure and fasting blood glucose measurements were taken. Associated risk factors for pre-diabetes and diabetes were evaluated using multivariate logistic regression analysis.

resultsIn total, 1,624 urban residents and 1,601 rural residents consented to participate in the study. The urban prevalence of pre-diabetes and diabetes (46.8% and 24.7%, respectively), was higher than the rural prevalence (23.4% and 11.0%, respectively, P<0.01). Urban elderly participants had markedly higher prevalence of obesity, central obesity, and physical inactivity than their rural counterparts (15.3%, 76.0%, and 9.2% vs. 4.6%, 45.6%, and 6.1%, P<0.01). In contrast, rural elderly adults had higher prevalence of smoking than urban ones (23.2% vs. 17.2%, P<0.01). Obese (OR 1.71, 95% CI 1.27-2.30 vs. OR 1.73, 95% CI 1.30-3.28) and centrally obese participants (OR 1.59, 95% CI 1.18-2.15 vs. OR 1.83, 95% CI 1.32-2.54) were more likely to suffer from diabetes in both urban and rural regions. Furthermore, urban current smokers had a higher probability of suffering from diabetes (OR 1.58, 95% CI 1.11-2.25), while hypertension was positively associated with the prevalence of diabetes in the rural area (OR 2.13, 95% CI 1.54-2.95). Obese participants in the rural area were more likely to suffer from pre-diabetes (OR 2.50, 95% CI 1.53-4.08), while physical inactivity was positively associated with prevalence of pre-diabetes in the urban area (OR 1.95, 95% CI 1.37-2.80).

conclusionPre-diabetes and diabetes are more prevalent among urban older adults than their rural counterparts in southwest China. The identified rural-urban differentials of lifestyle factors have significant impacts on prevalence of pre-diabetes and diabetes. Thus, tailored lifestyle interventions are needed to improve diabetes prevention and management among the elderly in southwest China.

Indexed as

Diabetes MellitusHypertensionPrediabetic StateAgedChinaCross-Sectional StudiesHumansLife StyleObesityPrevalenceRisk FactorsRural PopulationUrban PopulationChinaDeterminantsDiabetesRural-urban differentials

Identifiers

PMID36997910
PMCPMC10061888
OpenAlexW4361273019

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.