Associations of specific dietary unsaturated fatty acids with risk of overweight/obesity: population-based cohort study

被引:2
|
作者
Chen, Weiming [1 ]
Ao, Yang [2 ]
Lan, Xiaochun [3 ]
Tong, Wenzhou [4 ]
Liu, Xiaohui [2 ]
Zhang, Xia [3 ]
Ye, Qiang [1 ]
Li, Yin [2 ]
Liu, Linfen [3 ]
Ye, Hao [2 ]
Zhuang, Pan [5 ]
Zhang, Yu [5 ]
Zheng, Weifang [6 ]
Jiao, Jingjing [2 ]
机构
[1] Lanxi Red Cross Hosp, Jinhua, Zhejiang, Peoples R China
[2] Zhejiang Univ, Sch Med, Sch Publ Hlth, Dept Nutr, Hangzhou, Zhejiang, Peoples R China
[3] Lanxi Peoples Hosp, Jinhua, Zhejiang, Peoples R China
[4] Lanxi Ctr Dis Control & Prevent, Jinhua, Peoples R China
[5] Zhejiang Univ, Fuli Inst Food Sci, Coll Biosyst Engn & Food Sci, Dept Food Sci & Nutr, Hangzhou, Zhejiang, Peoples R China
[6] Lanxi Hosp Tradit Chinese Med, Jinhua, Zhejiang, Peoples R China
来源
FRONTIERS IN NUTRITION | 2023年 / 10卷
关键词
unsaturated fatty acids; obesity; overweight; prospective study; China health and nutrition survey; NUTRITION SURVEY; CHINA HEALTH; INSULIN-RESISTANCE; FISH-OIL; OBESITY; OXIDATION; INCREASE; DISEASE; OLEATE; ADULTS;
D O I
10.3389/fnut.2023.1150709
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
BackgroundThe role of specific unsaturated fatty acids (FAs) in the development of overweight/obesity remains unclear in the general population. Here, we aimed to explore the associations of different types of unsaturated FAs with overweight/obesity risk among the Chinese population. MethodsEight thousand seven hundred forty-two subjects free of overweight/obesity at entry in the China Health and Nutrition Survey (CHNS) were followed up until 2015. Dietary unsaturated FAs were assessed by 3-day 24-h recalls with a weighing method in each wave. Cox regression models were used to obtain the hazard ratios (HRs) and 95% confidence intervals (CIs) for overweight/obesity risk associated with unsaturated FAs. ResultsDuring a median follow-up of 7 years, 2,753 subjects (1,350 males and 1,403 females) developed overweight/obesity. Consuming more monounsaturated FAs (MUFAs) was associated with a lower risk of overweight/obesity (highest vs. lowest quartile: HR 0.80, 95% CI 0.67-0.96; P-trend = 0.010). Similar inverse associations were observed for plant-MUFAs (HRQ4vsQ1 0.83, 95% CI: 0.73-0.94; P-trend = 0.003) and animal-MUFAs (HRQ4vsQ1 0.77, 95% CI: 0.64-0.94; P-trend = 0.004), total dietary oleic acid (OA) (HRQ4vsQ1 0.66, 95% CI: 0.55-0.79; P-trend <0.001), plant-OA (HRQ4vsQ1 0.73, 95% CI: 0.64-0.83; P-trend <0.001) and animal-OA (HRQ4vsQ1 0.68, 95% CI: 0.55-0.84; P-trend <0.001). In addition, the intakes of n-3 polyunsaturated FAs (PUFAs) (HRQ4vsQ1 1.24, 95% CI: 1.09-1.42; P-trend = 0.017) and alpha-linolenic acid (ALA) (HRQ4vsQ1 1.22, 95% CI: 1.07-1.39; P-trend = 0.039) but not marine n-3 PUFAs were positively linked to overweight/obesity risk. Consumption of n-6 PUFAs (HRQ4vsQ1 1.13, 95% CI: 0.99-1.28; P-trend = 0.014) and linoleic acid (LA) (HRQ4vsQ1 1.11, 95% CI: 0.98-1.26; P-trend = 0.020) had marginal and positive relationships with the incidence of overweight/obesity. N-6/n-3 PUFA ratio ranging from 5.7 to 12.6 was related to higher risk of overweight/obesity. ConclusionHigher dietary intake of MUFAs was associated with lower overweight/obesity risk, which was mainly driven by dietary OA from either plant or animal sources. Intakes of ALA, n-6 PUFAs and LA were related to higher risk of overweight/obesity. These results support consuming more MUFAs for maintaining a healthy body weight among the Chinese population.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Retinal Microvascular Changes and the Risk of Developing Obesity: Population-Based Cohort Study
    Shankar, Anoop
    Sabanayagam, Charumathi
    Klein, Barbara E. K.
    Klein, Ronald
    MICROCIRCULATION, 2011, 18 (08) : 655 - 662
  • [32] Dietary factors and the risk of esophageal cancer: A population-based cohort study in Korea
    Nam, Byung-Ho
    Bak, Jeongin
    Kim, Jeongseon
    CANCER RESEARCH, 2012, 72
  • [33] Risk of Obesity-Related Cancer After Obesity Surgery in a Population-Based Cohort Study
    Ostlund, Magdalena Plecka
    Lu, Yunxia
    Lagergren, Jesper
    ANNALS OF SURGERY, 2010, 252 (06) : 972 - 976
  • [34] Nonalcoholic Fatty Liver Disease and Risk of Dementia A Population-Based Cohort Study
    Shang, Ying
    Widman, Linnea
    Hagstrom, Hannes
    NEUROLOGY, 2022, 99 (06) : E574 - E582
  • [35] Overweight and obesity as risk factors for cervical cancer and detection of precancers among screened women: A nationwide, population-based cohort study
    Urbute, Aivara
    Frederiksen, Kirsten
    Thomsen, Louise T.
    Kesmodel, Ulrik Schioler
    Kjaer, Susanne K.
    GYNECOLOGIC ONCOLOGY, 2024, 181 : 20 - 27
  • [36] Prevalence of overweight and obesity in Iranian population: A population-based study in northwestern of Iran
    Pourfarzi, Farhad
    Sadjadi, Alireza
    Poustchi, Hossein
    Amani, Firouz
    JOURNAL OF PUBLIC HEALTH RESEARCH, 2022, 11 (01)
  • [37] Can Breastfeeding Prevent Long-Term Overweight and Obesity in Children? A Population-Based Cohort Study
    Roldao, Carolina
    Lopes, Rita
    Silva, Joana Matos
    Neves, Natalia
    Gomes, Joana Costa
    Gavina, Cristina
    Taveira-Gomes, Tiago
    NUTRIENTS, 2024, 16 (16)
  • [38] Overweight or obesity in children born after assisted reproductive technologies in Denmark: A population-based cohort study
    Laugesen, Kristina
    Veres, Katalin
    Hernandez-Diaz, Sonia
    Chiu, Yu-Han
    Oberg, Anna Sara
    Hsu, John
    Rinaudo, Paolo
    Spaan, Mandy
    van Leeuwen, Flora
    Sorensen, Henrik Toft
    PLOS MEDICINE, 2023, 20 (12)
  • [39] Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study
    Caleyachetty, Rishi
    Barber, Thomas M.
    Mohammed, Nuredin Ibrahim
    Cappuccio, Francesco P.
    Hardy, Rebecca
    Mathur, Rohini
    Banerjee, Amitava
    Gill, Paramjit
    LANCET DIABETES & ENDOCRINOLOGY, 2021, 9 (07): : 419 - 426
  • [40] Associations of ambient air pollution and lifestyle with the risk of NAFLD: a population-based cohort study
    Kong, Xinxin
    Huang, Ruyu
    Geng, Rui
    Wu, Jingwei
    Li, Jiong
    Wu, Yaqian
    Zhao, Yang
    You, Dongfang
    Yu, Hao
    Du, Mulong
    Zhong, Zihang
    Li, Ling
    Ni, Senmiao
    Bai, Jianling
    BMC PUBLIC HEALTH, 2024, 24 (01)