Evidence map›Paper›PMID 39328990›Full record

SynthesisFrontiers in public health2024

The effect of different traditional Chinese exercises on bone mineral density in menopausal women: a systematic review and network meta-analysis.

Jun Hou, Haiping Mao, Peiyao Xie, Yuemei Cui, Ming Rong

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Effect of Baduanjin Exercise and Resistance Band Training on Sarcopenia in the Elderly: A Randomized Controlled Trial.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Trial
  4. Article
  5. Article
  6. Comparative efficacy of different traditional Chinese exercises on bone mineral density in older adults: a systematic review and network meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Review
  7. The impact of Tai Chi on osteoporosis and osteopenia in middle-aged and elderly adults: a systematic review and meta-analysis of randomized controlled trial.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    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

5 authors.

Jun Hou *Faculty of Sports Science, Ningbo University, Ningbo, China.
Haiping Mao *Faculty of Sports Science, Ningbo University, Ningbo, China.
Peiyao XieFaculty of Sports Science, Ningbo University, Ningbo, China.
Yuemei CuiFaculty of Sports Science, Ningbo University, Ningbo, China.
Ming RongFaculty of Sports Science, Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the optimal choice of traditional Chinese exercise (TCE) for improving bone mineral density in postmenopausal women through a network meta-analysis. Methods: The Chinese and English databases were searched, including China National Knowledge Infrastructure, Chongqing VIP, PubMed, Web of Science and Cochrane Library. The outcomes included BMD of lumbar L2-L4, femoral neck, ward triangle, and greater trochanter. Standardized mean differences (SMD) and 95% confidence intervals (CI) were used to assess the correlation between each group of interventions, and surface under the cumulative ranking (SUCRA) was used to rank the best interventions. Results: A total of 20 randomized controlled trials (RCTs) including 1933 subjects and six interventions: [Tai Chi (TC), Baduanjin (BDJ), Wuqinxi (WQX), Yijinjing (YJJ), TA (Tai chi plus calcium supplementation), BA (Baduanjin plus calcium supplementation)] and three control measures: [Calcium supplementation (CA), Aerobic exercise (AE), Not exercise intervention (NEI)] were analyzed. Regarding BMD of lumbar L2-L4: TC [SMD = 0.99 (0.62, 1.37)], BDJ [SMD = 2.12 (1.39, 2.85)], TA [SMD = 1.12(0.17, 2.07)], BA [SMD = 2.24 (1.16, 3.31)] were superior in increasing BMD of lumbar L2-L4 relative to NEI. Regarding BMD of femoral neck: TC [SMD = 1.24 (0.70, 1.78)], BA [SMD = 3.77 (1.98, 5.56)] were superior in increasing BMD of femoral neck relative to NEI. Regarding BMD of ward's triangle: TC [SMD = 1.63 (1.09, 2.17)] was superior in increasing BMD of ward's triangle relative to NEI. Regarding BMD of greater trochanter: TC [SMD = 0.98 (0.28, 1.68)] were superior in increasing BMD of greater trochanter relative to NEI. TC topped the SUCRA with BMD of lumbar L2-L4: 53.8, femoral neck: 74.9, ward's triangle: 86.9 and greater trochanter: 77.7. Conclusion: Four TCE (TC, BDJ, TA and BA) are all effective in partially improving BMD indicators in postmenopausal women, while TC was effective on all four BMD indicators, which seems to be recommended as the most suitable exercise modality for postmenopausal women. Systematic review registration: This research follows the PRISMA Network statement. The protocol for this study has been registered in the International Prospective Registry of Systematic Reviews (PROSPERO). CRD42023414944.

Indexed as

Bone DensityExerciseChinaFemaleHumansMenopauseMiddle AgedOsteoporosis, PostmenopausalRandomized Controlled Trials as TopicTai Jibone mineral densitymenopausalmeta-analysisnetwork meta-analysistraditional Chinese exercises

Identifiers

PMID39328990
PMCPMC11425856

What OpenQuestion holds

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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.