Evidence map›Paper›PMID 38142297›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2023

Prevalence and Risk Factors of Osteoporosis in a Chinese Population: A Cross-Sectional Study in Xi'an, Shaanxi Province, China.

Jidong Song, Jiaxin Zhao, Tun Liu, Yongwei Li, Xiaoqian Dang, Wei Wang

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. 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
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Combining OSTA and BMR to predict osteoporosis in Chinese population.Journal of orthopaedic surgery and research · 2024
    Article
  5. Review
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

6 authors at 1 institution in 1 country.

Jidong SongDepartment of Orthopaedics, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Jiaxin ZhaoDepartment of Orthopaedics, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Tun LiuDepartment of Orthopaedics, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Yongwei LiDepartment of Orthopaedics, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Xiaoqian DangDepartment of Orthopaedics, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Wei WangDepartment of Orthopaedics, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Second Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Osteoporosis is a systemic chronic disease characterized by bone mineral density (BMD) reduction. This study aimed to assess the prevalence of osteoporosis and fracture risks in northwestern China and investigate the related anthropometric risk factors. MATERIAL AND METHODS Between July 2022 and August 2022, 1429 participants (1295 females, 134 males) with measured BMD were recruited to participate in this cross-sectional study. Data on height, weight, and T score were collected. Spearman's correlation and multiple linear regression analysis were used to investigate the relationships between various demographic factors and BMD and the 10-year risk of major osteoporotic fracture (MO) and hip fracture (HP). RESULTS The overall prevalence of osteoporosis in northwest China was 42.34%, with 44.56% in females and 20.90% in males. Age negatively affects females' T scores (r=-0.304, P<0.05), and height positively influences both sexes' T scores (r=0.059 P<0.05). Age (r=0.148, P<0.05) and height were positive predictors of MO (r=0.027, P<0.05), while weight was a negative predictor (r=-0.035, P<0.05). The conclusion for HP was consistent with that of MO, except for the T score, which was a positive predictor of HP (r=0.014, P<0.05). CONCLUSIONS The prevalence of osteoporosis in northeast China is high. The association between anthropometric parameters and osteoporosis in adults in northwest China is different between sexes.

Indexed as

OsteoporosisOsteoporotic FracturesAbsorptiometry, PhotonAdultBone DensityChinaCross-Sectional StudiesFemaleHumansMalePrevalenceRisk Factors

Identifiers

PMID38142297
PMCPMC10753858
OpenAlexW4388453766

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.