Objective: The 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.

Methods: Relevant 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).

Results: The 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).

Conclusions: The 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.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11657-025-01506-7DOI Listing

Publication Analysis

Top Keywords

tea consumption
12
consumption bone
12
bone health
12
health postmenopausal
12
postmenopausal women
12
osteoporosis fractures
8
tea
5
bone
4
postmenopausal
4
women
4

Similar Publications

Background: Middle-aged and older adult men are at a heightened risk of depression. Green tea, as a popular beverage, has drawn widespread attention for its health benefits. However, there remains controversy over the effects of green tea on combating depression and regulating hormones.

View Article and Find Full Text PDF

Background: As the population in China rapidly ages, the prevalence of mild cognitive impairment (MCI) is increasing considerably. However, the causes of MCI vary. The continued lack of understanding of the various subtypes of MCI impedes the implementation of effective measures to reduce the risk of advancing to more severe cognitive diseases.

View Article and Find Full Text PDF

Milk tea stores have rapidly expanded in Wuhan due to residents' increased consumption demand. Therefore, studying the spatial distribution and influencing factors of stores is important for optimizing their layout and promoting economic development. Using milk-tea store data from Amap City's Point of Interest function and road network data from Baidu HeatMap, we analyzed the spatial distribution characteristics of stores within the third ring road of Wuhan City using ArcGIS.

View Article and Find Full Text PDF

Salicylic acid (SA) is a phenolic phytohormone widely believed to regulate plant growth and stress response. Despite its significance, the genetic basis of SA-mediated resistance to biotic stressors in tea plants is little understood. Our study investigated the genetic diversity, population structure, and linkage disequilibrium (LD) patterns of 299 tea accessions using 79 560 high-quality single nucleotide polymorphisms (SNPs) obtained from genotyping-by-sequencing (GBS) data.

View Article and Find Full Text PDF

This study aimed to optimize pectin extraction from watermelon (Citrullus lanatus) rind using sequential ultrasound-microwave assisted extraction (UMAE) with artificial neural network (ANN) and response surface methodology (RSM). The effects of pH, sonication time, microwave power, and irradiation time on pectin yield were evaluated. The ANN model showed higher precision in predicting yield compared to the RSM model.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!