Evidence mapPaperPMID 34675880Full record

ArticleFrontiers in endocrinology2021

The Roles of Genetic and Early-Life Environmental Factors in the Association Between Overweight or Obesity and Hypertension: A Population-Based Twin Study.

Yu'e Xi, Wenjing Gao, Ke Zheng, Jun Lv, Canqing Yu, Shengfeng Wang, Tao Huang, Dianjianyi Sun, Chunxiao Liao, Yuanjie Pang and 13 more

Open access · goldAbstract readTwin Study
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 11 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

23 authors at 12 institutions in 1 country.

Yu'e XiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Wenjing GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Ke ZhengDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Shengfeng WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Tao HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Chunxiao LiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yuanjie PangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Zengchang PangQingdao Municipal Center for Disease Control and Prevention , Qingdao, China.
Min YuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Hua WangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Xianping WuSichuan Center for Disease Control and Prevention, Chengdu, China.
Zhong DongBeijing Center for Disease Prevention and Control, Beijing, China.
Fan WuShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Guohong JiangTianjin Centers for Disease Control and Prevention, Tianjin, China.
Xiaojie WangQinghai Center for Diseases Prevention and Control, Xining, China.
Yu LiuHeilongjiang Provincial Center for Disease Control and Prevention, Harbin, China.
Jian DengHandan Center for Disease Control and Prevention, Handan, China.
Lin LuYunnan Center for Disease Control and Prevention, Kunming, China.
Weihua CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Peking University · CNBeijing Center for Disease Prevention and Control · CNHandan College · CNHeilongjiang Center for Tuberculosis Control and Prevention · CNJiangsu Provincial Center for Disease Control and Prevention · CNQingdao Municipal Center for Disease Control and Prevention · CNQinghai Institute for Endemic Diease Prevention and Control · CNShanghai Municipal Center For Disease Control Prevention · CNSichuan Center for Disease Control and Prevention · CNTianjin Centers for Disease Control and Prevention · CNYunnan Center for Disease Control And Prevention · CNZhejiang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims/Hypothesis: We aimed to explore whether and to what extent overweight or obesity could increase the risk of hypertension, and further to estimate the roles of genetic and early-life familial environmental factors in their association. Methods: This prospective twin study was based on the Chinese National Twin Registry (CNTR), which collected information from self-report questionnaires. We conducted unmatched case-control analysis to examine the association between overweight or obesity and hypertension. And further to explore whether genetics and familiar environments shared within a twin pair, accounted for their association Results: Overall, we included a total of 30,617 twin individuals, of which 7533 (24.6%) twin participants were overweight or obesity and 757 (2.5%) developed hypertension during a median follow-up time of 4.4 years. In the GEE model, overweight or obesity was associated with a 94% increased risk of hypertension (OR=1.94, 95% confidence interval (CI): 1.64~2.30). In the conditional logistic regression, the multi-adjusted OR was 1.80 (95% CI: 1.18~2.74). The difference in OR between unmatched and matched analyses was significant ( Conclusions/Interpretation: Genetics and early-life environments shared by participants within a twin pair appear to account for the association between overweight or obesity and hypertension risk.

Indexed as

EnvironmentAdultAlgorithmsBody Mass IndexCase-Control StudiesChinaFemaleGenetic Predisposition to DiseaseHumansHypertensionMaleMiddle AgedObesityOdds RatioOverweightProspective StudiesBMIearly-life environmentsgeneticshypertensiontwin study

Identifiers

PMID34675880
PMCPMC8525506
OpenAlexW3203867482

What Socratic holds

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LicenceCC BY
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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 Socratic graph.