Evidence map›Paper›PMID 37080727›Full record

ArticleEpidemiology and health2023

Association of multiple anthropometric indices with in 944,760 elderly Chinese people.

Lirong Dong, Yuanyuan Wang, Jinshui Xu, Yang Zhou, Guiju Sun, Dakang Ji, Haijian Guo, Baoli Zhu

Open access · diamondAbstract read
In one paragraph

Article in Epidemiology and health, 2023. 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
2.0field-weighted citation impact, top 14% 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, 7 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

8 authors at 2 institutions in 1 country.

Lirong DongDepartment of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yuanyuan WangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China.
Jinshui XuDepartment of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yang ZhouDepartment of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Guiju SunKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China.
Dakang JiKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China.
Haijian GuoDepartment of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Baoli ZhuDepartment of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Jiangsu Provincial Center for Disease Control and Prevention · CNSoutheast University · CN

Funding

Jiangsu Geriatrics Society 2022A02Jiangsu Geriatrics Society JGS2019ZXYY018National Key R&D Program of China 2016YFC1305700
6 · The paper itself

Abstract

objectivesThe aims of this study were to update the latest data on the prevalence of hypertension (HTN) in the elderly Chinese population and to assess relationships between new anthropometric indices and HTN.

methodsData were obtained from the Basic Public Health Service (BPHS) survey for Jiangsu Province, China. A total of 944,760 people aged 65 years and older were included in this study. Blood pressure was measured by trained investigators. Body weight, body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), conicity index (COI), body roundness index (BRI), and a body shape index (ABSI) were included in the analysis as anthropometric indices. Logistic regression analysis and restricted cubic splines were used to evaluate the association of anthropometric indices with HTN.

resultsThe prevalence of HTN among elderly residents of Jiangsu Province was 64.7% (95% confidence interval, 64.6 to 64.8). After adjusting for multiple covariates, all anthropometric indices except ABSI showed significant non-linear positive dose-response associations with HTN across sex (pnonlinear<0.001). Among participants with BMI <28 kg/m2, abnormal weight, WC, WtHR, BRI, COI, and ABSI were positively associated with HTN.

conclusionsThe prevalence of HTN in the elderly in Jiangsu Province is gradually increasing. It is necessary to consider the combination of ABSI and COI with BMI for screening elderly individuals for HTN in follow-up prospective studies.

Indexed as

HypertensionObesityAgedAnthropometryBody Mass IndexEast Asian PeopleHumansProspective StudiesRisk FactorsWaist CircumferenceAgingAnthropometric indicesHypertension

Identifiers

PMID37080727
PMCPMC10593587
OpenAlexW4366293305

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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.