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Association between Geriatric Nutritional Risk Index and metabolic syndrome among elderly people of ethnic minorities in Guizhou Province
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Shu-yan CHENG, En-hui ZHOU, Fei XIAO, Yuan WANG, Yi-li SHEN, Feng HONG
Modern Preventive Medicine | 2025, 52(23) : 4296 - 4302
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Modern Preventive Medicine | 2025, 52(23): 4296-4302
• Nutrition and Food Hygiene •
Association between Geriatric Nutritional Risk Index and metabolic syndrome among elderly people of ethnic minorities in Guizhou Province
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Shu-yan CHENG, En-hui ZHOU, Fei XIAO, Yuan WANG, Yi-li SHEN, Feng HONG
Affiliations
  • School of Public Health, Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education,Guizhou Medical University, Guiyang, Guizhou 561113, China
Published: 2025-12-10 doi: 10.20043/j.cnki.MPM.202504423
Outline
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Objective

To investigate the association between the Geriatric Nutritional Risk Index(GNRI) and metabolic syndrome(MS) among elderly people of ethnic minorities in Guizhou Province, providing scientific evidence for the health management of the elderly in this region.

Methods

Based on the “Southwest Regional Cohort Study of Natural Populations of Ethnic Minorities”, this study included 4 521 elderly individuals aged 60 and above from the Miao, Dong, and Bouyei ethnic groups in Guizhou Province. Data on demographic characteristics, lifestyle, physical examination, and biochemical indicators were collected. Logistic regression, subgroup analyses, and restricted cubic splines (RCS) were used to evaluate the association between GNRI and MS. Within each ethnic group, the optimal cut-offs from ROC curves (107.9 for the overall population, 108.0 for the Miao, 110.1 for the Dong, and 106.0 for the Bouyei) were applied to categorize GNRI into high and low levels for subsequent sensitivity analyses.

Results

The overall prevalence of MS was 23.9%, with prevalence rates of 24.6%, 25.4%, and 21.3% among the Miao, Dong, and Bouyei ethnic groups, respectively. In Model 3, which adjusted for all covariates, GNRI as a continuous variable was positively correlated with MS risk in the total population, Miao, and Dong groups, with OR (95% CI) of 1.07 (1.05-1.09), 1.07 (1.04-1.10), and 1.07 (1.04-1.11), respectively. However, this association was not significant in the Bouyei group (P=0.172). When GNRI was categorized, in the total population and Miao and Dong groups, higher GNRI quartiles(Q2-Q4) were associated with a gradient increase in MS risk compared with the Q1 reference group. However, this association was not statistically significant in the Q2 group or in any quartile group of the Bouyei ethnic group. Sensitivity analysis showed that the high-GNRI group had a significantly increased risk of MS (overall population: OR=1.98; Miao: OR=2.43; Dong: OR=1.76; all P<0.001), whereas the association remained non-significant in the Bouyei population (OR=1.03, P=0.845). Subgroup analysis showed that GNRI interacted with ethnicity and educational level, with stronger associations in the Dong group and among individuals with lower educational levels. RCS analysis indicated a linear positive association between GNRI and MS in the total population, while a non-linear positive association was observed in the Dong, Miao, and Bouyei groups.

Conclusion

Among the elderly Miao and Dong populations in Guizhou, an elevated GNRI was an independent risk factor for MS. No such association was observed in the Bouyei ethnic group. The relationship between GNRI and MS varied by ethnicity, indicating that ethnicity-specific nutritional intervention cut-offs and MS prevention strategies should be developed.

Geriatric Nutritional Risk Index  /  Metabolic syndrome  /  Ethnic minorities  /  Elderly population
程淑燕, 周恩慧, 肖斐, 王媛, 申毅力, 洪峰. 老年营养风险指数与贵州省少数民族老年人群代谢综合征的相关性分析. 现代预防医学, 2025 , 52 (23) : 4296 -4302 . DOI: 10.20043/j.cnki.MPM.202504423
Shu-yan CHENG, En-hui ZHOU, Fei XIAO, Yuan WANG, Yi-li SHEN, Feng HONG. Association between Geriatric Nutritional Risk Index and metabolic syndrome among elderly people of ethnic minorities in Guizhou Province[J]. Modern Preventive Medicine, 2025 , 52 (23) : 4296 -4302 . DOI: 10.20043/j.cnki.MPM.202504423
Year 2025 volume 52 Issue 23
32
15
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doi: 10.20043/j.cnki.MPM.202504423
  • Receive Date:2025-04-24
  • Online Date:2026-11-02
  • Published:2025-12-10
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  • Received:2025-04-24
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    School of Public Health, Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education,Guizhou Medical University, Guiyang, Guizhou 561113, 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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