Evidence map›Paper›PMID 39971968›Full record

ArticleScientific reports2025

Prevalence and influencing factors of sarcopenia among older adults in rural coastal areas of Ningbo City.

Shuaishuai Huang, Fujun Zhou, Yinfen Zhou, Jiaqi Zhong, Hang Hong, Guobin Weng, Chen Wu, Kui Liu, Wei Feng

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Shuaishuai HuangNingbo Yinzhou No.2 Hospital, Ningbo, People's Republic of China.
Fujun ZhouFenghua District Center for Disease Control and Prevention, No.28 Yuelin East Road, Fenghua District, Ningbo, 315500, Zhejiang, People's Republic of China.
Yinfen ZhouNingbo Fenghua Song'ao Town Health Center, Ningbo, People's Republic of China.
Jiaqi ZhongSchool of Public Health, Health Science Center of Ningbo University, Ningbo, People's Republic of China.
Hang HongSchool of Public Health, Health Science Center of Ningbo University, Ningbo, People's Republic of China.
Guobin WengNingbo Yinzhou No.2 Hospital, Ningbo, People's Republic of China.
Chen WuZhejiang Provincial Center for Disease Control and Prevention, No.3399 Binsheng Road, Binjiang District, Hangzhou, 310000, Zhejiang, People's Republic of China. chenwu@cdc.zj.cn.
Kui LiuZhejiang Provincial Center for Disease Control and Prevention, No.3399 Binsheng Road, Binjiang District, Hangzhou, 310000, Zhejiang, People's Republic of China. kliu@cdc.zj.cn.
Wei FengFenghua District Center for Disease Control and Prevention, No.28 Yuelin East Road, Fenghua District, Ningbo, 315500, Zhejiang, People's Republic of China. fhfwhhxx1111@163.com.

Funding

The Science and Technology Project of Yinzhou 2022AS033The Social Development Scientific Research Project of Fenghua District 202303203Traditional Chinese Medicine Science and Technology Plan Project of Zhejiang Provinc 2023ZL669
6 · The paper itself

Abstract

Sarcopenia has become a critical health concern in the global older population. However, limited studies have investigated the epidemiological characteristics and potential risk factors of sarcopenia in older individuals residing in rural coastal areas of China. This cross-sectional study involving sarcopenia screening was conducted in Ningbo City, including body composition measurements, and questionnaire surveys. Sarcopenia was diagnosed using the criteria outlined in the Asian Working Group for Sarcopenia 2019 Consensus. A total of 902 older adults aged ≥ 60 years (average age: 69.76 years) were included using a two-stage random sampling method from three villages in Ningbo. The prevalence of sarcopenia was 11.53%, with men (16.36%) exhibiting higher rates than women (7.93%). Multivariate logistic regression analysis identified age (odds ratio [OR]: 6.708, 95% confidence interval [CI]: 2.520-17.855), stroke (OR: 9.232, 95% CI: 1.917-44.447), and waist circumference (OR: 1.095, 95% CI: 1.030-1.165) as factors positively correlated with the occurrence of sarcopenia. Conversely, body mass index (OR: 0.347, 95% CI: 0.270-0.445) was negatively correlated with sarcopenia development. These findings underscore the need for specific health education, the collaborative prevention of comorbidities, and active screening for sarcopenia in the older population to reduce its disease burden.

Indexed as

Rural PopulationSarcopeniaAgedAged, 80 and overBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsBioelectrical impedanceEastern ChinaMuscle strengthOlder individualsPrevalenceRisk factorsSarcopenia

Identifiers

PMID39971968
PMCPMC11839905

What Socratic holds

Textmetadata
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 Socratic graph.