Evidence map›Paper›PMID 33324082›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Forecasting the Populations of Overweight and Obese Chinese Adults.

Ruhai Bai, Wentao Wu, Wanyue Dong, Jinli Liu, Lili Yang, Jun Lyu

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. 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
–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

19 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

6 authors.

Ruhai BaiDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, People's Republic of China.ORCID 0000-0001-5426-6291
Wentao WuSchool of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Wanyue DongSchool of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Jinli LiuSchool of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Lili YangDepartment of General Medicine, Lanzhou University Second Hospital, Lanzhou, Gansu, People's Republic of China.
Jun LyuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, People's Republic of China.ORCID 0000-0002-2237-8771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of this study was to forecast the prevalence rates and the populations of overweight and obese in Chinese adults for 2030. MATERIALS AND

methodsNine waves of China Health and Nutrition Survey (CHNS) data from 1991 to 2015 were used. A polynomial regression model was fitted to obtain the average BMI change trajectory of the population born in different years according to different sexes and residence areas (urban and rural). The model fitted to CHNS 2015 survey data was used to forecast the distribution of BMI and the prevalence rates of overweight and obesity in 15 years. The United Nations population forecast was then used to predict the proportions of overweight obese adults in all age groups in China in 2030.

resultsThe prevalence rates of overweight and obesity were projected to increase in both sexes and all geographic areas in future. By 2030, urban males will have the highest prevalence of overweight, 50.7% (95% CI: 47.5%, 53.9%). Except urban males, the prevalence of overweight and obesity in rural areas will exceed that in urban for both sexes. In 2030, the numbers of overweight and obese people in China aged 20-89 years will reach 540 million and 150 million, respectively, which are 2.8 and 7.5 times higher compared to prevalences in 2000. In 2030, the number of overweight and obese people in China aged 60-89 years will reach 200 million and 40 million, respectively, 6.3 and 8.5 times increments from the year 2000.

conclusionThe prevalence rates of overweight and obese in Chinese adults are projected to increase further, by 2030 more than half of adult males living in urban areas will be overweight. Combined with changes in the population age structure, overweight and obesity will have a huge impact on the health of the Chinese population over the next 15 years.

Indexed as

agingBMIpopulation; overweight; obesityprediction

Identifiers

PMID33324082
PMCPMC7733397

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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.