Evidence map›Paper›PMID 38281972›Full record

ArticleBMC cardiovascular disorders2024

Trends in prevalence of obesity and its association with hypertension across socioeconomic gradients in rural Yunnan Province, China.

Xia Wu, Guohui Li, Lan Liu, Yi Zhao, Allison Rabkin Golden, Le Cai

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Xia WuYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China.
Guohui LiYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China.
Lan LiuYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China.
Yi ZhaoYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China.
Allison Rabkin GoldenYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China.
Le CaiYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China. caile002@hotmail.com.

Funding

Major Union Specific Project Foundation of Yunnan Provincial Science and Technology Department and Kunming Medical University 2024Program for Innovative Research Team of Yunnan Province 202005AE160002the National Natural Science Fund of China 72064026the Young and Middle-aged Academic and Technical Leaders Reserve Talented Person Project in Yunnan 202105AC160093Yunnan Provincial Philosophy and Social Science Innovative Research Team 2023CX11
6 · The paper itself

Abstract

backgroundThis study aimed to uncover the changing prevalence of obesity and its association with hypertension across socioeconomic gradients in rural southwest China.

methodsData were collected from two cross-sectional health interviews and surveys from 2011 to 2021 among individuals aged ≥ 35 years in rural China. Each participant's height, weight, waist circumference, and blood pressure were measured. The overall prevalence of obesity, central obesity, and hypertension was directly standardized by age based on the total population of the two surveys. Multivariate logistic regression was used to analyze the association between obesity and prevalence of hypertension and an individual socioeconomic position (SEP) index was constructed using principal component analysis.

resultsFrom 2011 to 2021, the prevalence of obesity, central obesity, and hypertension increased substantially, from 5.9%, 50.2%, and 26.1-12.1%, 58.0%, and 40.4% (P < 0.01), respectively. These increasing rates existed in all subcategories, including sex, age, ethnicity, education, annual household income, access to medical services, and SEP (P < 0.05). In both 2011 and 2021, lower education level and poor access to medical services correlated with higher prevalence of central obesity, while higher SEP correlated with higher prevalence of obesity and central obesity (P < 0.01). Prevalence of obesity was higher in the Han ethnicity participants and individuals with poor access to medical services than in their counterparts (P < 0.01). Whereas the prevalence of central obesity was lower in Han participants than in ethnic minority participants in 2011 (P < 0.01), this trend reversed in 2021 (P < 0.01). A positive relationship between annual household income and prevalence of obesity and central obesity was only found in 2021 (P < 0.01). Obese and centrally obese participants were more likely to be hypertensive in both survey years (P < 0.01).

conclusionsFuture interventions to prevent and manage obesity in rural China should give increased attention to high income, less educated, poor access to medical services, and high SEP individuals. The implementation of these obesity interventions would also help reduce the prevalence of hypertension.

Indexed as

HypertensionObesity, AbdominalChinaCross-Sectional StudiesEducational StatusEthnicityHumansMinority GroupsObesityPrevalenceRisk FactorsRural PopulationSocioeconomic FactorsChinaHypertensionObesitySocioeconomic statusTemporal trend

Identifiers

PMID38281972
PMCPMC10822144

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.