Evidence map›Paper›PMID 39907867›Full record

SynthesisArchives of osteoporosis2025

Tea consumption and bone health in postmenopausal women: a systematic review and meta-analysis.

Minjun Zhang, Shuxia Li, Shishi Wu, Dang Zhou, Mengni Lu, Chuyan Lin, Chengjiang Liu, Qingmei Xie

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Archives of osteoporosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Minjun ZhangDepartment of Trauma Surgery, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
Shuxia LiDepartment of Surgery, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
Shishi WuDepartment of Trauma Surgery, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
Dang ZhouDepartment of Trauma Surgery, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
Mengni LuDepartment of Trauma Surgery, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
Chuyan LinZhongshan City People's Hospital, Zhongshan, Guangdong Province, China.
Chengjiang LiuDepartment of General Medicine, Anhui Medical University, Hefei, China.
Qingmei XieDepartment of Surgery, Guangzhou First People's Hospital, Guangzhou, Guangdong, China. xieqingm@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe impact of tea on bone health in postmenopausal women has generated conflicting opinions. The current study pooled previous research to evaluate the relationship between tea consumption and bone health in postmenopausal women.

methodsRelevant papers published before October 2024 were included by conducting a comprehensive literature search in the Embase, PubMed, Scopus, and The Cochrane Library databases. Observational studies reporting the association between tea consumption and bone mineral density (BMD) or the risk of osteoporosis and fractures in women after menopause were deemed eligible. The weighted mean difference (WMD) for BMD and the pooled odds ratio (OR) for osteoporosis and fractures were calculated, together with their corresponding 95% confidence intervals (CIs).

resultsThe meta-analysis examined 18 studies with a total of 48,615 individuals. The combined results indicated that postmenopausal women who consumed tea had higher BMD at several skeletal sites, including the lumbar spine (WMD, 0.02; 95% CI, 0.01-0.04; P < 0.001), greater trochanter (WMD, 0.02; 95% CI, 0.02-0.03; P < 0.001), femoral neck (WMD, 0.01; 95% CI, 0.00-0.02; P = 0.049), and ward's triangle (WMD, 0.02; 95% CI, 0.01-0.03; P = 0.002). Additionally, these women had a lower risk of osteoporosis (OR, 0.41; 95% CI, 0.26-0.67; P < 0.001) and fracture (OR, 0.81; 95% CI, 0.67-0.98; P = 0.031).

conclusionsThe findings of this meta-analysis suggest that postmenopausal women who regularly consumed tea saw an increase in BMD and a decreased likelihood of developing osteoporosis and experiencing fractures. Future research should give priority to conducting prospective cohort studies with a more stringent methodology to verify the dose-response connection between tea consumption and the risk of osteoporosis or fracture in postmenopausal women. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number CRD42019112196.

Indexed as

Bone DensityOsteoporosis, PostmenopausalPostmenopauseTeaFemaleHumansMiddle AgedOsteoporotic FracturesTeaBone mineral densityFractureOsteoporosisPostmenopausal womenTea

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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.