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The association between physical activity, dietary patterns, and osteoporosis in postmenopausal women in Southwest China: a cross-sectional survey based on Pidu District, Chengdu
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Yan-ping DENG1, Dong-mei LI1, Xiao-yan LIU1, Qin DENG2, Tao ZHANG2, Lu LONG2, Jia-qiang LIAO2, Meng-yu FAN2, Chuan WANG2, Ben ZHANG2, 3, Jia-yuan LI2, xia JIANG2
Modern Preventive Medicine | 2025, 52(20) : 3649 - 3655
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Modern Preventive Medicine | 2025, 52(20): 3649-3655
• Epidemiology and Statistical Methods Advances •
The association between physical activity, dietary patterns, and osteoporosis in postmenopausal women in Southwest China: a cross-sectional survey based on Pidu District, Chengdu
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Yan-ping DENG1, Dong-mei LI1, Xiao-yan LIU1, Qin DENG2, Tao ZHANG2, Lu LONG2, Jia-qiang LIAO2, Meng-yu FAN2, Chuan WANG2, Ben ZHANG2, 3, Jia-yuan LI2, xia JIANG2
Affiliations
  • Community Health Service Center, Hongguang Street, Pidu District, Chengdu, Sichuan 611743, China
Published: 2025-10-25 doi: 10.20043/j.cnki.MPM.202504096
Outline
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Background

Postmenopausal osteoporosis (PMOP) is highly prevalent among elderly women. Current research on the effects of physical activity types and region-specific dietary patterns is insufficient. Large-scale cross-sectional studies are needed to analyze these multidimensional factors.

Objective

To investigate the impact of physical activity and dietary patterns on PMOP and their interaction effects.

Methods

In May 2022, a baseline survey was conducted among postmenopausal women aged 60 and above in Hongguang Town, Pidu District, Chengdu. Physical activity levels were assessed using the International Physical Activity Questionnaire (IPAQ), and dietary information was collected via a food frequency questionnaire. Dietary patterns were identified using factor analysis, and bone density was measured by dual-energy X-ray absorptiometry (DXA). Multivariate logistic regression was used to analyze the independent and interaction effects.

Results

A total of 1 136 postmenopausal women (mean age 67.2±5.1 years) were included, with a PMOP prevalence of 32.8%. After adjustment, recreational physical activity was negatively associated with PMOP (OR=0.64, 95% CI: 0.45-0.92). The Sichuan-style high-sodium red meat pattern and freshwater fish–poultry pattern showed no significant association after adjustment. Interaction analysis revealed that walking had a significant synergistic effect with dietary patterns (Pinteraction=0.008), while other physical activities did not.

Conclusion

Physical activity and dietary patterns have independent and synergistic effects on PMOP. This study provides region-specific clues for exercise and dietary interventions for PMOP in Southwest China. Future research should validate these findings through multicenter studies.

Physical activity levels  /  Dietary patterns  /  Postmenopausal women  /  Osteoporosis
邓艳萍, 李东梅, 刘晓燕, 邓琴, 张韬, 龙璐, 廖加强, 樊萌语, 汪川, 张本, 李佳圆, 姜侠. 西南地区绝经后女性体力活动与膳食模式对骨质疏松症的关联研究——基于成都市郫都区的横断面调查. 现代预防医学, 2025 , 52 (20) : 3649 -3655 . DOI: 10.20043/j.cnki.MPM.202504096
Yan-ping DENG, Dong-mei LI, Xiao-yan LIU, Qin DENG, Tao ZHANG, Lu LONG, Jia-qiang LIAO, Meng-yu FAN, Chuan WANG, Ben ZHANG, Jia-yuan LI, xia JIANG. The association between physical activity, dietary patterns, and osteoporosis in postmenopausal women in Southwest China: a cross-sectional survey based on Pidu District, Chengdu[J]. Modern Preventive Medicine, 2025 , 52 (20) : 3649 -3655 . DOI: 10.20043/j.cnki.MPM.202504096
Year 2025 volume 52 Issue 20
52
24
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doi: 10.20043/j.cnki.MPM.202504096
  • Receive Date:2025-04-06
  • Online Date:2026-10-29
  • Published:2025-10-25
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  • Received:2025-04-06
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    Community Health Service Center, Hongguang Street, Pidu District, Chengdu, Sichuan 611743, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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