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Relationship between dietary patterns and obesity in rural adult residents in Hebei province: based on data from the Nutrition and Health Status Surveillance in 2022
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Lei CHEN1, Ziyi ZHAI2, Bei NIU1, Cui ZHANG1, Yongli ZHAO1, Changqing LIU1, Meina TIAN1
Chinese Journal of Public Health | 2026, 42(7) : 798 - 803
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Chinese Journal of Public Health | 2026, 42(7): 798-803
• Special Report—Healthy Weight Management Initiative •
Relationship between dietary patterns and obesity in rural adult residents in Hebei province: based on data from the Nutrition and Health Status Surveillance in 2022
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Lei CHEN1, Ziyi ZHAI2, Bei NIU1, Cui ZHANG1, Yongli ZHAO1, Changqing LIU1, Meina TIAN1
Affiliations
  • 1Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
  • 2School of Public Health, North China University of Science and Technology, Tangshan 063210, China
Published: 2026-07-10 doi: 10.11847/zgggws1147111
Outline
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Objective

To investigate the association between dietary patterns and obesity among adult residents in rural Hebei province, providing a theoretical foundation for formulating dietary interventions tailored to reducing the obesity rate in this population.

Methods

The data were obtained from the Nutrition and Health Status Surveillance of Chinese Residents in 2022, including food frequency, personal information, health records, and physical examination results of permanent rural residents aged ≥ 18 years in Hebei province. Dietary patterns were identified through factor analysis. Multivariate logistic regression models were employed to examine the relationship between dietary patterns and the risk of obesity in rural adults.

Results

Among the 2 479 rural residents aged ≥ 18 years included in the study, the prevalence rate of obesity was 25.78%. The obesity rate was higher in non-smokers (26.74%) than in smokers (22.20%). Additionally, the obesity rate was higher in the populations with hypertension (34.16%), diabetes (38.60%), and dyslipidemia (32.74%) than in non-diseased populations. Four distinct dietary patterns were extracted via factor analysis as the animal protein-snack pattern, vegetable-fruit pattern, staple food pattern, and pasta-alcohol pattern, with a cumulative variance contribution rate of 38.77%. Logistic regression analysis indicated that after adjusting for confounding factors, individuals in the high-intake group of animal protein-snack pattern had higher risk of obesity than those in the low-intake group (Q3 high group OR = 1.491, 95%CI: 1.177–1.889, P = 0.001).

Conclusions

Dietary patterns are associated with obesity among rural adult residents in Hebei province, and a diet rich in animal protein-snack may elevate the risk of obesity.

dietary pattern  /  obesity  /  factor analysis  /  rural adult residents  /  Hebei province
陈磊, 翟自怡, 牛蓓, 张翠, 赵永丽, 刘长青, 田美娜. 河北省农村成年居民膳食模式与肥胖关系:基于2022年营养与健康状况监测数据分析. 中国公共卫生, 2026 , 42 (7) : 798 -803 . DOI: 10.11847/zgggws1147111
Lei CHEN, Ziyi ZHAI, Bei NIU, Cui ZHANG, Yongli ZHAO, Changqing LIU, Meina TIAN. Relationship between dietary patterns and obesity in rural adult residents in Hebei province: based on data from the Nutrition and Health Status Surveillance in 2022[J]. Chinese Journal of Public Health, 2026 , 42 (7) : 798 -803 . DOI: 10.11847/zgggws1147111
Year 2026 volume 42 Issue 7
86
37
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Article Info
doi: 10.11847/zgggws1147111
  • Receive Date:2025-02-17
  • Online Date:2026-10-23
  • Published:2026-07-10
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History
  • Received:2025-02-17
  • Revised:2025-08-06
  • Accepted:2025-09-27
Affiliations
    1Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, China
    2School of Public Health, North China University of Science and Technology, Tangshan 063210, China

Corresponding:

TIAN Meina, 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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