华南预防医学 ›› 2025, Vol. 51 ›› Issue (10): 1076-1081.doi: 10.12183/j.scjpm.2025.1076

• 论著 • 上一篇    下一篇

华南体重正常人群相对脂肪质量指数升高与代谢疾病关联研究

陈婉兰, 何佳林, 杨嘉璐, 李思琪, 张琪, 赵婉滢, 柳雁, 夏敏   

  1. 中山大学公共卫生学院,广东 广州 510080
  • 收稿日期:2024-12-16 出版日期:2025-10-20 发布日期:2025-11-14
  • 通讯作者: 夏敏,E-mail:xiamin@mail.sysu.edu.cn
  • 作者简介:陈婉兰(1999—),女,在读硕士研究生,研究方向为公共卫生
  • 基金资助:
    国家重点研发计划课题(2022YFC3600600)

Elevated relative fat mass and its association with metabolic diseases in a normal-weight population in South China

CHEN Wanlan, HE Jialin, YANG Jialu, LI Siqi, ZHANG Qi, ZHAO Wanying, LIU Yan, XIA Min   

  1. School of Public Health, Sun Yet-Sen University, Guangzhou, Guangdong 510080, China
  • Received:2024-12-16 Online:2025-10-20 Published:2025-11-14

摘要: 目的 本研究旨在探讨体重正常者相对脂肪质量指数(RFM)与代谢性疾病的关系,及此类人群在华南地区分布情况。方法 研究采用了华南区域自然人群慢性病前瞻性队列研究(SCC)2018—2020年采集的25~89岁参与者的基线数据。研究分析体重正常者RFM在不同亚组人群的分布情况及其与糖尿病、高血压和血脂异常患病风险的关联。结果 在体重正常人群中,女性高RFM比例显著高于男性(25.34%和18.03%),且差异随年龄增长而扩大。高RFM个体在低收入(23.86%)、低文化(32.69%)、少数民族(28.15%)、饮酒(22.99%)和不吸烟(23.68%)群体中的比例更高。体重正常人群中,高RFM的人群糖尿病(OR=1.58)、高血压(OR=1.67)和血脂异常(OR=1.68)的患病风险比低RFM者更高。结论 RFM能有效识别正常体重但具有高代谢风险的人群,从而及早干预促进健康。

关键词: 相对脂肪质量指数, 代谢性疾病, 体重正常, 糖尿病, 高血压, 血脂异常

Abstract: Objective To einvestigate the association between elevated relative fat mass (RFM) and metabolic diseases in individuals with normal weight, and to characterize the distribution of this phenotype within the South China population. Methods The analysis utilized baseline data from the South China Cohort (SCC), a prospective study on chronic diseases in a natural population, collected between 2018 and 2020. Participants aged 25-89 years were included. This study examined the distribution of the normal-weight high RFM phenotype across various subgroups and its association with the prevalence of diabetes, hypertension, and dyslipidemia. Results Among normal-weight individuals, the proportion of high RFM was significantly greater in females (25.34%) than in males (18.03%), a disparity that widened with increasing age. A higher prevalence of elevated RFM was observed in subgroups characterized by low income (23.86%), lower educational attainment (32.69%), ethnic minority status (28.15%), alcohol consumption (22.99%), and non-smoking status (23.68%). Within the normal-weight cohort, individuals with high RFM exhibited an increased risk for diabetes (OR=1.58), hypertension (OR=1.67), and dyslipidemia (OR=1.68) compared to their low RFM counterparts. Conclusion RFM effectively identifies metabolically at-risk individuals with normal body weight, thereby facilitating early intervention strategies to promote health outcomes.

Key words: Relative fat mass, Metabolic diseases, Normal weight, Diabetes mellitus, Hypertension, Dyslipidemia

中图分类号: 

  • R181.3