Evidence map›Paper›PMID 31316827›Full record

ArticleInternational journal of hypertension2019

The Additive Interaction between Body Mass Index and Hypertension Family History in Han and Yugur: The China National Health Survey (CNHS).

Chengdong Yu, Hongjun Zhao, Li Pan, Jia Zhang, Xiaoyang Wang, Lijun Chang, Ya Tuo, Jin'en Xi, Bin Liu, Ye Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 16 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

14 authors at 2 institutions in 1 country.

Chengdong YuDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Department of Epidemiology and Statistics, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
Hongjun ZhaoInstitute of Chronic and Noncommunicable Disease Control and Prevention, Gansu Provincial Centre for Disease Control and Prevention, Lanzhou 730000, China.
Li PanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Department of Epidemiology and Statistics, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
Jia ZhangDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Department of Epidemiology and Statistics, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
Xiaoyang WangDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Department of Epidemiology and Statistics, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
Lijun ChangInstitute of Chronic and Noncommunicable Disease Control and Prevention, Gansu Provincial Centre for Disease Control and Prevention, Lanzhou 730000, China.
Ya TuoInstitute of Radiation Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Tianjin 300000, China.
Jin'en XiInstitute of Chronic and Noncommunicable Disease Control and Prevention, Gansu Provincial Centre for Disease Control and Prevention, Lanzhou 730000, China.
Bin LiuInstitute of Radiation Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Tianjin 300000, China.
Ye WangDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Department of Epidemiology and Statistics, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
Huiru RenDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Department of Epidemiology and Statistics, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
Huijing HeDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Department of Epidemiology and Statistics, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
Xiaolan RenInstitute of Chronic and Noncommunicable Disease Control and Prevention, Gansu Provincial Centre for Disease Control and Prevention, Lanzhou 730000, China.ORCID https://orcid.org/0000-0003-3410-5524
Guangliang ShanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Department of Epidemiology and Statistics, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.ORCID https://orcid.org/0000-0002-4535-8941
Chinese Academy of Medical Sciences & Peking Union Medical College · CNGansu Provincial Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the additive interaction of body mass index (BMI) and family history of hypertension (FHH) on hypertension and explore whether the interaction could be influenced by behavioural risk factors.

methodsThe cross-sectional data on 5791 participants were from the China National Health Survey in Gansu province in 2016. We assessed the additive interaction by calculating the relative excess risk due to interaction (RERI), the attributable proportion due to interaction (AP), and the synergy index (SI).

resultsORs for hypertension were highest in Han (13.52, 95%

conclusionsBMI and FHH were associated with hypertension, and the interaction of BMI and FHH on hypertension was significant in Han but not in Yugur people. Behavioural risk factors had little influence on the associations and interactions. The exacerbation of hypertension risks by overweight or obesity in hypertension families deserves attention in weight control and community care.

Identifiers

PMID31316827
PMCPMC6604334
OpenAlexW2950259078

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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.