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Relationship between resting heart rate and metabolic syndrome in middle-aged and elderly individuals in plateau regions
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Yue YU1, 2, Quzhen JINMEI1, Guoxia BAI1, Chunxia YANG2, Jieru PENG2, Bing PANG2, Zongji ZHAXI1, Jing LU3
Chinese Journal of Public Health | 2025, 41(7) : 829 - 833
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Chinese Journal of Public Health | 2025, 41(7): 829-833
• Survey and Report •
Relationship between resting heart rate and metabolic syndrome in middle-aged and elderly individuals in plateau regions
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Yue YU1, 2, Quzhen JINMEI1, Guoxia BAI1, Chunxia YANG2, Jieru PENG2, Bing PANG2, Zongji ZHAXI1, Jing LU3
Affiliations
  • 1Xizang Autonomous Region Center for Disease Control and Prevention, Lhasa 850000, China
  • 2West China School of Public Health, Sichuan University; West China Fourth Hospital, Sichuan University, Chengdu 610041, China
  • 3Armed Police Xizang General Hospital, Lhasa 850000, China
Published: 2025-07-10 doi: 10.11847/zgggws1146664
Outline
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Objective

To investigate the relationship between resting heart rate (RHR) and metabolic syndrome (MS) in middle-aged and elderly individuals residing in plateau regions, and to provide new scientific evidence for elucidating the influence of RHR on the mechanism of MS.

Methods

From June 2021 to December 2022, a multi-stage stratified cluster sampling method was employed to select 6 269 middle-aged and elderly individuals in Xizang Autonomous Region. Based on the quartile distribution of RHR, the participants were divided into four groups: Q1 (RHR < 66.5 beats/min), Q2 (66.5 ≤ RHR ≤ 73.0 beats/min), Q3 (73.1 ≤ RHR ≤ 80.5 beats/min), and Q4 (RHR > 80.5 beats/min). Unconditional logistic regression analysis was used to explore the potential association between RHR and MS.

Results

The overall prevalence of MS among the 6 269 middle-aged and elderly individuals was 22.35%. The prevalence varied across different RHR groups: 17.12% in Q1, 20.24% in Q2, 22.77% in Q3, and 29.48% in Q4, with statistically significant differences (χ2 = 74.934, P < 0.001). After adjusting for sex, age, alcohol consumption, and body mass index (BMI), compared with the RHR < 66.5 beats/min group, the risk of MS was significantly elevated in the 73.1 ≤ RHR ≤ 80.5 beats/min group (OR = 1.371, 95%CI: 1.121 - 1.678) and substantially increased in the RHR > 80.5 beats/min group (OR = 2.027, 95%CI: 1.672 - 2.482). Stratified analysis by sex and age revealed that in males, the risk of MS increased by 37.0% (OR = 1.370, 95%CI: 1.024 - 1.832) and 137.9% (OR = 2.379, 95%CI: 1.803 - 3.139) in the 73.1 ≤ RHR ≤ 80.5 beats/min and RHR > 80.5 beats/min groups, respectively. In females, the corresponding risks increased by 36.6% (OR = 1.366, 95%CI: 1.030 - 1.810) and 76.4% (OR = 1.764, 95%CI:1.328 - 2.343), respectively. When RHR > 80.5 beats/min, the risk of MS was significantly elevated in all age groups except for the 70 - 75 age group, with the highest risk observed in the 40 - 49 age group (OR = 2.777, 95%CI: 1.922 - 4.010).

Conclusions

An RHR > 80.5 beats/min significantly increases the risk of MS in middle-aged and elderly individuals in plateau regions, with higher risks observed in males and individuals aged 40 - 49. RHR may be an important predictor of MS, and further investigation into its influence mechanisms in different populations is warranted.

resting heart rate  /  metabolic syndrome  /  plateau region  /  middle-aged and elderly individuals
于跃, 晋美曲珍, 白国霞, 杨春霞, 彭介入, 庞冰, 扎西宗吉, 卢晶. 西藏高原地区中老年人静息心率与代谢性综合征关系. 中国公共卫生, 2025 , 41 (7) : 829 -833 . DOI: 10.11847/zgggws1146664
Yue YU, Quzhen JINMEI, Guoxia BAI, Chunxia YANG, Jieru PENG, Bing PANG, Zongji ZHAXI, Jing LU. Relationship between resting heart rate and metabolic syndrome in middle-aged and elderly individuals in plateau regions[J]. Chinese Journal of Public Health, 2025 , 41 (7) : 829 -833 . DOI: 10.11847/zgggws1146664
Year 2025 volume 41 Issue 7
91
43
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doi: 10.11847/zgggws1146664
  • Receive Date:2024-12-13
  • Online Date:2026-10-25
  • Published:2025-07-10
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History
  • Received:2024-12-13
  • Revised:2025-03-11
  • Accepted:2025-05-10
Affiliations
    1Xizang Autonomous Region Center for Disease Control and Prevention, Lhasa 850000, China
    2West China School of Public Health, Sichuan University; West China Fourth Hospital, Sichuan University, Chengdu 610041, China
    3Armed Police Xizang General Hospital, Lhasa 850000, China

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LU Jing, E-mail:
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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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