Association of Tibetan Habitual Food and Metabolic Syndrome Among Tibetan People in China: A Cross-Sectional Study.

Qing cha Tibetan population Tsampa butter tea metabolic syndrome

Journal

Frontiers in nutrition
ISSN: 2296-861X
Titre abrégé: Front Nutr
Pays: Switzerland
ID NLM: 101642264

Informations de publication

Date de publication:
2022
Historique:
received: 05 03 2022
accepted: 24 05 2022
entrez: 11 7 2022
pubmed: 12 7 2022
medline: 12 7 2022
Statut: epublish

Résumé

The association between habitual food intake in Tibet and metabolic syndrome (MetS) is largely unclear. To examine the association between Tibetan habitual food intake and MetS among Tibetan adults. A population-based cross-sectional study, named the China Multi-Ethnic Cohort (CMEC) study, was conducted between 2018 and 2019. We used data from all Tibetans in the CMEC in the current study. The participants, 1,954 men and 3,060 women aged 18-79 years, were from Lhasa, Tibet Autonomous Region, Tibet. The habitual dietary intake was assessed using a food frequency questionnaire (FFQ). MetS was defined according to ATP III guidelines. Multivariate logistic regression was used to estimate the association between five Tibetan habitual foods and MetS. Tsampa, butter tea, and Qing cha intake were associated with reduced prevalence of MetS. Compared with the lowest quartile of each food, odds ratios (ORs) and their 95% confidence intervals (95% CIs) of medium and high Tsampa intake were 0.59 (0.41-0.85) and 0.53 (0.36-0.77), ORs (95% CIs) of butter tea were 0.67 (0.52-0.88) and 0.61 (0.46-0.81), and Qing cha were 0.85 (0.71-1.03) and 0.75 (0.60-0.93), respectively. When exploring the joint effects of these three foods on MetS, the adjusted ORs and their 95% CIs were 0.65 (0.49-0.87) for the middle intake group and 0.59 (0.42-0.83) for the high intake group as compared with the never/rarely group ( Tsampa, butter tea, and Qing cha were negatively associated with MetS. The recommendation of increasing the intake of these foods may be beneficial for MetS prevention.

Sections du résumé

Background UNASSIGNED
The association between habitual food intake in Tibet and metabolic syndrome (MetS) is largely unclear.
Objective UNASSIGNED
To examine the association between Tibetan habitual food intake and MetS among Tibetan adults.
Methods UNASSIGNED
A population-based cross-sectional study, named the China Multi-Ethnic Cohort (CMEC) study, was conducted between 2018 and 2019. We used data from all Tibetans in the CMEC in the current study. The participants, 1,954 men and 3,060 women aged 18-79 years, were from Lhasa, Tibet Autonomous Region, Tibet. The habitual dietary intake was assessed using a food frequency questionnaire (FFQ). MetS was defined according to ATP III guidelines. Multivariate logistic regression was used to estimate the association between five Tibetan habitual foods and MetS.
Results UNASSIGNED
Tsampa, butter tea, and Qing cha intake were associated with reduced prevalence of MetS. Compared with the lowest quartile of each food, odds ratios (ORs) and their 95% confidence intervals (95% CIs) of medium and high Tsampa intake were 0.59 (0.41-0.85) and 0.53 (0.36-0.77), ORs (95% CIs) of butter tea were 0.67 (0.52-0.88) and 0.61 (0.46-0.81), and Qing cha were 0.85 (0.71-1.03) and 0.75 (0.60-0.93), respectively. When exploring the joint effects of these three foods on MetS, the adjusted ORs and their 95% CIs were 0.65 (0.49-0.87) for the middle intake group and 0.59 (0.42-0.83) for the high intake group as compared with the never/rarely group (
Conclusion UNASSIGNED
Tsampa, butter tea, and Qing cha were negatively associated with MetS. The recommendation of increasing the intake of these foods may be beneficial for MetS prevention.

Identifiants

pubmed: 35811962
doi: 10.3389/fnut.2022.888317
pmc: PMC9263562
doi:

Types de publication

Journal Article

Langues

eng

Pagination

888317

Informations de copyright

Copyright © 2022 Li, Zhang, Cai, He, Nima, Li, Suolang, Cidan, Wangqing, Zhao, Li and Liu.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Curr Hypertens Rep. 2018 Feb 26;20(2):12
pubmed: 29480368
Med Sci Sports Exerc. 2011 Aug;43(8):1575-81
pubmed: 21681120
Endocr Rev. 2008 Dec;29(7):777-822
pubmed: 18971485
Nutrients. 2014 Apr 21;6(4):1635-48
pubmed: 24763110
Int J Food Sci Nutr. 2018 May;69(3):358-368
pubmed: 28789576
Int J Cardiol. 2013 Sep 30;168(2):1509-15
pubmed: 23890855
Eur J Nutr. 2013 Apr;52(3):1039-48
pubmed: 22777108
PLoS One. 2012;7(6):e38874
pubmed: 22719971
Eur J Nutr. 2015 Oct;54(7):1129-37
pubmed: 25367317
Int J Epidemiol. 2021 Jul 9;50(3):721-721l
pubmed: 33232485
Diabetes. 2002 Jul;51(7):2037-44
pubmed: 12086931
Public Health Nutr. 2021 Apr;24(5):984-992
pubmed: 32312349
Food Chem. 2020 Apr 25;310:125979
pubmed: 31835231
QJM. 2022 Mar 22;115(3):140-147
pubmed: 33367838
PLoS One. 2016 Jun 29;11(6):e0158118
pubmed: 27355649
Mol Nutr Food Res. 2016 Jan;60(1):160-74
pubmed: 26577614
Molecules. 2018 Jan 24;23(2):
pubmed: 29364183
Popul Dev Rev. 2013 Sep 1;39(3):371-396
pubmed: 25620818
High Alt Med Biol. 2001 Winter;2(4):489-99
pubmed: 11809089
J Epidemiol. 2016;26(2):57-63
pubmed: 26499132
Diabetes Metab Syndr Obes. 2020 May 05;13:1519-1530
pubmed: 32440181
J Nutr. 2020 Jan 1;150(1):118-127
pubmed: 31504681
BMC Public Health. 2020 Mar 6;20(1):297
pubmed: 32143667
Hypertension. 2019 May;73(5):e35-e66
pubmed: 30827125
Nutrients. 2017 Oct 08;9(10):
pubmed: 28991181
BMC Public Health. 2015 Apr 22;15:412
pubmed: 25896058
Environ Res. 2021 Sep;200:111354
pubmed: 34102164
Nutrition. 2015 Jul-Aug;31(7-8):1045-51
pubmed: 26059381
Circulation. 2005 Oct 25;112(17):2735-52
pubmed: 16157765

Auteurs

Kehan Li (K)

Department of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.

Qiang Zhang (Q)

Center for Disease Control and Prevention of Tibet Autonomous Region, Lhasa, China.

Hui Cai (H)

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, United States.

Ruifeng He (R)

Center for Disease Control and Prevention of Tibet Autonomous Region, Lhasa, China.

Qucuo Nima (Q)

Center for Disease Control and Prevention of Tibet Autonomous Region, Lhasa, China.

Yajie Li (Y)

Center for Disease Control and Prevention of Tibet Autonomous Region, Lhasa, China.

Deji Suolang (D)

Center for Disease Control and Prevention of Tibet Autonomous Region, Lhasa, China.

Zhuoga Cidan (Z)

Center for Disease Control and Prevention of Tibet Autonomous Region, Lhasa, China.

Pingcuo Wangqing (P)

Center for Disease Control and Prevention of Tibet Autonomous Region, Lhasa, China.

Xing Zhao (X)

Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.

Jingzhong Li (J)

Center for Disease Control and Prevention of Tibet Autonomous Region, Lhasa, China.

Qiaolan Liu (Q)

Department of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.

Classifications MeSH