Evidence map›Paper›PMID 35487506›Full record

ArticleDiabetes & metabolism journal2022

Impact of Older Age Adiposity on Incident Diabetes: A Community-Based Cohort Study in China.

Anthony Chen, Weiju Zhou, Jian Hou, Alan Nevill, Yuanlin Ding, Yuhui Wan, Rebecca Jester, Xia Qin, Zhi Hu, Ruoling Chen

Open access · goldAbstract read
In one paragraph

Article in Diabetes & metabolism journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

10 authors at 5 institutions in 4 countries.

Anthony ChenFaculty of Sciences and Technology, Middlesex University, London, UK.
Weiju ZhouFaculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK.
Jian HouCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Alan NevillFaculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK.
Yuanlin DingSchool of Public Health, Guangdong Medical University, Dongguan, China.
Yuhui WanSchool of Public Health, Anhui Medical University, Hefei, China.
Rebecca JesterFaculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK.
Xia QinSchool of Health Administration, Anhui Medical University, Hefei, China.
Zhi HuSchool of Health Administration, Anhui Medical University, Hefei, China.
Ruoling ChenFaculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK.
University of Wolverhampton · GBAnhui Medical University · CNGuangdong Medical College · CNUniversity College London · GBZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity classifications vary globally and the impact of older age adiposity on incident diabetes has not been well-studied.

methodsWe examined a random sample of 2,809 participants aged ≥60 years in China, who were free of diabetes at baseline and were followed up for up to 10 years to document diabetes (n=178). The incidence of diabetes was assessed in relation to different cut-off points of body mass index (BMI) and waist circumference (WC) in multiple adjusted Cox regression models.

resultsThe diabetic risk in the cohort increased linearly with the continuous and quartile variables of BMI and WC. The BMI-World Health Organization (WHO) and BMI-China criteria analysis did not show such a linear relationship, however, the BMI-Asian/Hong Kong criteria did; adjusted hazards ratio (HR) was 0.42 (95% confidence interval [CI], 0.20 to 0.90) in BMI <20 kg/m2, 1.46 (95% CI, 0.99 to 2.14) in 23-≤26 kg/m2, and 1.63 (95% CI, 1.09 to 2.45) in ≥26 kg/m2. The WC-China criteria revealed a slightly better prediction of diabetes (adjusted HRs were 1.79 [95% CI, 1.21 to 2.66] and 1.87 [95% CI, 1.22 to 2.88] in central obese action levels 1 and 2) than the WC-WHO. The combination of the BMI-Asian/Hong Kong with WC-China demonstrated the strongest prediction. There were no gender differences in the impact of adiposity on diabetes.

conclusionIn older Chinese, BMI-Asian/Hong Kong criteria is a better predictor of diabetes than other BMI criterion. Its combination with WC-China improved the prediction of adiposity to diabetes, which would help manage bodyweight in older age to reduce the risk of diabetes.

Indexed as

AdiposityDiabetes MellitusAgedChinaCohort StudiesHumansObesityProspective StudiesRisk FactorsBody mass indexDiabetes mellitusWaist circumference

Identifiers

PMID35487506
PMCPMC9532176
OpenAlexW4225258234

What OpenQuestion holds

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LicenceCC BY-NC
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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.