Evidence map›Paper›PMID 34054294›Full record

ArticleClinical interventions in aging2021

Somatotype and Its Impact on Asymptomatic Target Organ Damage in the Elderly Chinese: The Northern Shanghai Study.

Jing Xiong, Yunyun Qian, Shikai Yu, HongWei Ji, Jiadela Teliewubai, Chen Chi, YuYan Lu, YiWu Zhou, XiMin Fan, Jue Li and 3 more

Abstract read
In one paragraph

Article in Clinical interventions in aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A National Study of Somatotypes in Mexican Athletes Across 43 Sports.Journal of functional morphology and kinesiology · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. 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

13 authors.

Jing Xiong *Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
Yunyun Qian *Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
Shikai YuDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
HongWei JiDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
Jiadela TeliewubaiDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
Chen ChiDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.ORCID 0000-0003-3924-9535
YuYan LuDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
YiWu ZhouDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
XiMin FanDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.ORCID 0000-0003-1154-6861
Jue LiThe Research Institute of Clinical Epidemiology, Tongji University School of Medicine, Shanghai, People's Republic of China.
Jacques BlacherParis Descartes University, AP-HP, Diagnosis and Therapeutic Center, Hôtel-Dieu, Paris, France.
Yi ZhangDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
YaWei XuDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relationship between asymptomatic target organ damage (TOD) and different somatotypes in a population of elderly from Chinese community-dwelling.

methodsA total of 2098 Chinese senior residents from northern Shanghai older than 65 years were recruited in the research. The following somatotype parameters were recorded and analyzed: body mass index, waist circumference, hip circumference, and waist-hip ratio were recorded and calculated. Asymptomatic TOD, including urine albumin/creatinine ratio, estimated glomerular filtration rate (eGFR), intima-media thickness (IMT), left ventricular mass index (LVMI), left ventricular diastolic function, and carotid-femoral pulse wave velocity (PWV) was recorded using the MyLab30 Gold CV system and SphygmoCor.

resultsOf all 2098 residents, 817 (38.9%) were overweight and 289 (13.8%) were obese. All somatotype measures were significantly correlated with TOD parameters (p<0.05). After adjustment for age and male gender, in total population, LVMI (p<0.001), cardiac diastolic function (E/Ea, p<0.001), PWV (p<0.001), eGFR (p=0.03), and urine albumin/creatinine ratio (p<0.001) changed gradually and significantly correlated with increasing BMI values. Obesity and overweight were independently related to the incidence of LVH, LVDD, artery stiffness, carotid arterial plaque, and microalbuminuria.

conclusionThe incidence of asymptomatic TOD was significantly correlated with overweight and obesity, especially in women, whereas the underweight may favor in the prevention of TOD.

Indexed as

Carotid Intima-Media ThicknessSomatotypesAgedAlbuminuriaBody Mass IndexChinaFemaleGlomerular Filtration RateHumansIndependent LivingKidney Function TestsMalePlaque, AtheroscleroticPulse Wave AnalysisVascular StiffnessChinese elderly cardiovascular risk

Identifiers

PMID34054294
PMCPMC8153068

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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.