Please wait a minute...
文章检索
预防医学  2025, Vol. 37 Issue (8): 773-778    DOI: 10.19485/j.cnki.issn2096-5087.2025.08.004
  论著 本期目录 | 过刊浏览 | 高级检索 |
植物性饮食与不同肥胖类型的关联研究
周梦怡1, 苏丹婷2, 何梦洁2, 徐沛维2, 韩丹2, 黄李春2, 章荣华2
1.杭州医学院公共卫生学院,浙江 杭州 310053;
2.浙江省疾病预防控制中心,浙江 杭州 310051
Association between plant-based diet and different types of obesity
ZHOU Mengyi1, SU Danting2, HE Mengjie2, XU Peiwei2, HAN Dan2, HUANG Lichun2, ZHANG Ronghua2
1. Scchool of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang 310053, China;
2. Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang 310051, China
全文: PDF(896 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 探讨植物性饮食与不同肥胖类型的关联,为肥胖防控提供参考。方法 于2024年4—12月采用多阶段分层随机抽样方法抽取浙江省33个县(市、区)35~75岁居民为调查对象,通过问卷调查收集人口学信息和生活行为资料;测量身高、体重和腰围;计算体质指数(BMI),BMI≥28.0 kg/m2判定为肥胖;男性腰围≥90 cm、女性腰围≥85 cm判定为中心型肥胖;肥胖且同时存在中心型肥胖判定为复合型肥胖。采用连续3 d 24 h膳食回顾法收集3 d内食物摄入量,计算植物性饮食指数(PDI)、健康植物性饮食指数(HPDI)和不健康植物性饮食指数(UPDI),按五分位数分为Q1~Q5组。采用多因素logistic回归模型分析PDI、HPDI和UPDI与不同肥胖类型的关联。结果 调查4 882人,其中男性2 233人,占45.74%;女性2 649人,占54.26%。年龄为(55.42±12.14)岁。检出肥胖、中心型肥胖和复合型肥胖为537、1 718和500人,检出率分别为11.00%、35.19%和10.24%。多因素logistic回归分析结果显示,调整人口学信息和生活行为等混杂因素后,相较于Q1组,HPDI的Q5组肥胖风险降低29.6%(OR=0.704,95%CI:0.525~0.943)、复合型肥胖风险降低32.1%(OR=0.679,95%CI:0.502~0.918),UPDI的Q5组肥胖风险增加39.5%(OR=1.395,95%CI:1.032~1.886)、复合型肥胖风险增加39.8%(OR=1.398,95%CI:1.025~1.907);未发现PDI与肥胖、中心型肥胖和复合型肥胖存在统计学关联(均P>0.05)。随着HPDI升高,肥胖和复合型肥胖风险呈下降趋势;随着UPDI升高,肥胖和复合型肥胖风险呈上升趋势(均P趋势<0.05)。结论 健康植物性饮食可降低肥胖、复合型肥胖风险,而不健康植物性饮食增加肥胖、复合型肥胖风险。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
周梦怡
苏丹婷
何梦洁
徐沛维
韩丹
黄李春
章荣华
关键词 植物性饮食肥胖中心型肥胖复合型肥胖    
AbstractObjective To investigate the association between plant-based diet and different types of obesity, so as to provide references for obesity prevention. Methods Residents aged 35-75 years from 33 counties (cities, districts) in Zhejiang Province were selected as study subjects using a multistage stratified random sampling method between April and December 2024. Demographic information and living behaviors were collected using questionnaire surveys. Height, weight and waist circumference were measured, and body mass index (BMI) was calculated. BMI ≥28.0 kg/m2 was defined as obesity, waist circumference ≥90 cm in males or ≥85 cm in females was defined as central obesity, and individual with obesity who also had central obesity was defined as having compound obesity. Food intake over a 3-day period was collected using the consecutive 3-day 24-hour dietary recall method. The plant diet index (PDI), healthful plant diet index (HPDI), and unhealthful plant diet index (UPDI) were calculated, and categorized into quintiles (Q1-Q5) based on their distribution. Association between the PDI, PDI, UPDI and different types of obesity were analyzed using multivariable logistic regression models. Results A total of 4 882 individuals were surveyed, including 2 233 males (45.74%) and 2 649 females (54.26%). The average age was (55.42±12.14) years. There were 537 individuals of obesity, 1 718 individuals of central obesity, and 500 individuals of compound obesity, with detection rates of 11.00%, 35.19%, and 10.24%, respectively. Multivariable logistic regression analysis showed that, after adjusting for demographic information and living behaviors, compared with Q1 group, HPDI Q5 group showed a 29.6% lower risk of obesity (OR=0.704, 95%CI: 0.525-0.943) and a 32.1% lower risk of compound obesity (OR=0.679, 95%CI: 0.502-0.918). Conversely, the UPDI Q5 group exhibited a 39.5% higher risk of obesity (OR=1.395, 95%CI: 1.032-1.886) and a 39.8% higher risk of compound obesity (OR=1.398, 95%CI: 1.025-1.907). No statistically significant association was found between PDI and obesity, central obesity, and compound obesity (all P>0.05). As HPDI increased, the risks of obesity and compound obesity showed decreasing trends; as UPDI increased, the risks of obesity and compound obesity showed increasing trends (all Ptrend<0.05). Conclusion A healthful plant-based diet is associated with reduced risks of obesity and compound obesity, while an unhealthful plant-based diet is associated with increased risks of obesity and compound obesity.
Key wordsplant-based diet    obesity    central obesity    compound obesity
收稿日期: 2025-05-06      修回日期: 2025-07-27      出版日期: 2025-08-10
中图分类号:  R589.2  
基金资助:浙江省医药卫生科技计划项目(2025KY760)
作者简介: 周梦怡,硕士研究生在读,营养与食品卫生专业
通信作者: 章荣华,E-mail:rhzhang@cdc.zj.cn   
引用本文:   
周梦怡, 苏丹婷, 何梦洁, 徐沛维, 韩丹, 黄李春, 章荣华. 植物性饮食与不同肥胖类型的关联研究[J]. 预防医学, 2025, 37(8): 773-778.
ZHOU Mengyi, SU Danting, HE Mengjie, XU Peiwei, HAN Dan, HUANG Lichun, ZHANG Ronghua. Association between plant-based diet and different types of obesity. Preventive Medicine, 2025, 37(8): 773-778.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2025.08.004      或      http://www.zjyfyxzz.com/CN/Y2025/V37/I8/773
[1] World Health Organization.Obesity and overweight[EB/OL].[2025-07-27].https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
[2] 中国居民营养与慢性病状况报告(2020年)[J].营养学报,2020,42(6):521.
Report on nutrition and chronic disease status of Chinese residents(2020)[J].Acta Nutrimenta Sinica,2020,42(6):521.(in Chinese)
[3] SUN J,RUAN Y T,XU N N,et al.The effect of dietary carbohydrate and calorie restriction on weight and metabolic health in overweight/obese individuals:a multi-center randomized controlled trial[J].BMC Med,2023,21(1):1-12.
[4] HARGREAVES S M,ROSENFELD D L,MOREIRA A V B,et al.Plant-based and vegetarian diets:an overview and definition of these dietary patterns[J].Eur J Nutr,2023,62(3):1109-1121.
[5] MAMBRINI S P,PENZAVECCHIA C,MENICHETTI F,et al.Plant-based and sustainable diet:a systematic review of its impact on obesity[J].Obes Rev,2025,26(6):1-13.
[6] 汪紫薇,陈慧媛,朱晓华.中国居民膳食结构的区域差异及其健康效应[J].地理科学,2023,43(10):1825-1836.
WANG Z W,CHEN H Y,ZHU X H.Regional differences and health effects of dietary pattern of Chinese residents[J].Sci Geogr Sin,2023,43(10):1825-1836.(in Chinese)
[7] World Health Organization.WHO guidelines on physical activity and sedentary behaviour[R].Geneva:WHO,2020.
[8] 中华人民共和国国家卫生和计划生育委员会.成人体重判定:WS/T 428—2013[S].北京:中国标准出版社,2013.
National Health and Family Planning Commission of the People's Republic of China. Criteria of weight for adults:WS/T 428—2013[S].Beijing:Standards Press of China,2013.(in Chinese)
[9] 潘姚佳,傅方琳,韩正,等.肥胖类型与心血管代谢性共病的关系:基于不同性别的中年居民[J].中国全科医学,2025,28(18):2285-2293.
PAN Y J,FU F L,HAN Z,et al.Correlation of the type of obesity with the cardiometabolic multimorbidity:a study in male and female middle-aged residents in Anhui Province[J].Chin Gen Pract,2025,28(18):2285-2293.(in Chinese)
[10] SATIJA A,BHUPATHIRAJU S N,RIMM E B,et al.Plant-based dietary patterns and incidence of type 2 diabetes in US men and women:results from three prospective cohort studies[J].PLoS Med,2016,13(6):1-18.
[11] 何梦洁,黄李春,苏丹婷,等.浙江省成年人群肥胖流行现状[J].预防医学,2021,33(2):162-164.
HE M J,HUANG L C,SU D T,et al.Prevalence of obesity among adults in Zhejiang Province[J].China Prev Med J,2021,33(2):162-164.(in Chinese)
[12] 张伟伟,吴同浩,马进,等.江苏省35~75岁居民肥胖和中心性肥胖现况调查[J].预防医学,2019,31(9):886-890,896.
ZHANG W W,WU T H,MA J,et al.Cross-sectional study on obesity and central obesity among 35-75 year-old people in Jiangsu Province[J].China Prev Med J,2019,31(9):886-890,896.(in Chinese)
[13] 郭向娇,李建彬,刘建勋,等.郑州市成人中心性肥胖现况及影响因素调查[J].预防医学,2019,31(11):1147-1149.
GUO X J,LI J B,LIU J X,et al.Prevalence and influencing factors of central obesity among adults in Zhengzhou City[J].China Prev Med J,2019,31(11):1147-1149.(in Chinese)
[14] CAREY M T,MILLAR S R,ELLIOTT P S,et al.Plant-based diet adherence is associated with metabolic health status in adults living with and without obesity[J].Eur J Nutr,2024,63(6):2235-2246.
[15] KOEDER C,ALZUGHAYYAR D,ANAND C,et al.The healthful plant-based diet index as a tool for obesity prevention:the healthy lifestyle community program cohort 3 study[J].Obes Sci Pract,2022,9(3):296-304.
[16] SIDHU S R K,KOK C W,KUNASEGARAN T,et al.Effect of plant-based diets on gut microbiota:a systematic review of interventional studies[J/OL].Nutrients,2023,15(6)[2025-07-27].https://doi.org/10.3390/nu15061510.
[17] THOMAS M S,CALLE M,FERNANDEZ M L.Healthy plant-based diets improve dyslipidemias,insulin resistance,and inflammation in metabolic syndrome.A narrative review[J].Adv Nutr,2023,14(1):44-54.
[18] TIMM M,OFFRINGA L C,VAN KLINKEN B J,et al.Beyond insoluble dietary fiber:bioactive compounds in plant foods[J/OL].Nutrients,2023,15(19)[2025-07-27].https://doi.org/10.3390/nu15194138.
[19] JUNG S,PARK S.Positive association of unhealthy plant-based diets with the incidence of abdominal obesity in Korea:a comparison of baseline,most recent,and cumulative average diets[J/OL].Epidemiol Health,2022,44[2025-07-27].https://doi.org/10.4178/epih.e2022063.
[20] WEICKERT M O,PFEIFFER A F H.Impact of dietary fiber consumption on insulin resistance and the prevention of type 2 diabetes[J].J Nutr,2018,148(1):7-12.
[21] RAVICHANDRAN G,LAKSHMANAN D K,ARUNACHALAM A,et al.Food obesogens as emerging metabolic disruptors;a toxicological insight[J/OL].J Steroid Biochem Mol Biol,2022,217[2025-07-27].https://doi.org/10.1016/j.jsbmb.2021.106042.
[22] ASOUDEH F,MOUSAVI S M,KESHTELI A H,et al.The association of plant-based dietary pattern with general and abdominal obesity:a large cross-sectional study[J].J Diabetes Metab Disord,2023,22(1):469-477.
[23] 焦莹莹,姜红如,李惟怡,等.2018年中国15个省(自治区、直辖市)18~64岁成年居民差异化地域膳食模式特征[J].卫生研究,2023,52(1):11-19.
JIAO Y Y,JIANG H R,LI W Y,et al.Analysis of differentiated regional dietary patterns of adults aged 18-64 years in 15 provinces(autonomous regions,municipalities)in 2018[J].J Hygiene Res,2023,52(1):11-19.(in Chinese)
[24] 马志敏,郝晓燕,王东阳,等.中国膳食模式的特征、分布及其与健康相关性研究进展[J].食品工业科技,2023,44(10):396-405.
MA Z M,HAO X Y,WANG D Y,et al.Evolution and distribution of dietary patterns in China and the research progress of its correlation with health[J].Sci Technol Food Ind,2023,44(10):396-405.(in Chinese)
[25] KIM H,LEE K,REBHOLZ C M,et al.Association between unhealthy plant-based diets and the metabolic syndrome in adult men and women:a population-based study in South Korea[J].Br J Nutr,2021,125(5):577-590.
[26] FAROOQ A,KNEZ W L,KNEZ K,et al.Gender differences in fat distribution and inflammatory markers among Arabs[J/OL].Mediators Inflamm,2013[2025-07-27].http://dx.doi.org/10.1155/2013/497324.
[27] KHARATY S,HARRINGTON J M,MILLAR S R,et al.Plant-based dietary indices and biomarkers of chronic low-grade inflammation:a cross-sectional analysis of adults in Ireland[J].Eur J Nutr,2023,62(8):3397-3410.
[1] 黄阳梅, 沈旭娟, 谢董颖, 张琦, 郑子聪, 王勐. 小学生体重监测信息反馈干预的效果评价[J]. 预防医学, 2025, 37(6): 541-545.
[2] 史美琦, 殷玉华, 汪旭虹, 付元庆, 苗泽蕾, 胡文胜. 妊娠糖尿病孕妇植物性饮食模式与孕期体重增加的关联研究[J]. 预防医学, 2025, 37(5): 503-506.
[3] 蒋安然, 朱煜典, 鲁芬, 方大春, 翟光富. 膳食行为与中学生超重肥胖的关联研究[J]. 预防医学, 2025, 37(4): 341-345.
[4] 江南, 唐晓敏, 孙文韬. 膳食模式与中小学生超重肥胖的关联研究[J]. 预防医学, 2025, 37(3): 228-232.
[5] 陈海苗, 马岩, 刘明奇, 马珊珊, 李军, 方益荣. 儿童期肥胖与2型糖尿病、冠心病的孟德尔随机化研究[J]. 预防医学, 2025, 37(3): 307-311.
[6] 白勇, 李萍, 姜楠. 肥胖、外周血血脂指标与非小细胞肺癌的孟德尔随机化研究[J]. 预防医学, 2024, 36(6): 518-522.
[7] 黄钦海, 余石群, 陈小敏, 曾煜球. 云浮市中小学生营养不良状况调查[J]. 预防医学, 2024, 36(5): 402-406.
[8] 梁茵茵, 袁瑞, 朱幸, 付云. 湖州市中小学生超重肥胖状况调查[J]. 预防医学, 2024, 36(10): 847-850.
[9] 杨洋, 何田静, 祝淑珍, 张岚, 黄希宝. 成年人群睡眠与肥胖的关联研究[J]. 预防医学, 2023, 35(2): 116-120.
[10] 王训强, 王承敏, 熊瑛. 成年人睡眠对肥胖的影响研究进展[J]. 预防医学, 2022, 34(9): 898-901.
[11] 陶寄, 盛敏阳, 许云峰, 孙品晶, 钟节鸣, 王小花. 海宁市居民血脂异常的影响因素分析[J]. 预防医学, 2022, 34(8): 821-825.
[12] 孙霞, 朱艳, 郑鹏, 徐爱花, 董海娜. 超重肥胖和2型糖尿病对瘦素、内脂素的影响研究[J]. 预防医学, 2022, 34(6): 581-585.
[13] 江南, 高静, 吴燕芳, 杨艳娜. 通州区中小学生视力不良的影响因素分析[J]. 预防医学, 2022, 34(6): 616-621.
[14] 杨娟, 李肖晓, 程蕊蕊, 诸葛瑾慧, 吾孜木·吉格尔, 姚华, 张明琛. 墨玉县成年人群血脂异常调查[J]. 预防医学, 2022, 34(6): 590-594,599.
[15] 呼聪慧, 苏银霞, 阿力米热·阿布迪热依木, 姚华. 墨玉县居民代谢性疾病患病调查[J]. 预防医学, 2022, 34(5): 519-524.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed