» Articles » PMID: 35545396

Cohort Profile: The Xinjiang Multiethnic Cohort (XMC) Study

Overview
Journal BMJ Open
Specialty General Medicine
Date 2022 May 11
PMID 35545396
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To investigate the potential causal link between heredity, geographical environment, diet and other lifestyle factors with long-term health consequences, we established the Xinjiang Multiethnic Cohort Study (XMC), the first large-scale prospective cohort in Xinjiang, China.

Participants: XMC commenced in 2018 and enrolled participants from three study sites (Urumqi, Hotan and Ili) in Xinjiang, China. Data collected include standard baseline questionnaire, physical measurement, biological specimen. In addition, about one-third of participants were assessed habitual diet by a more detailed semiquantitative food frequency questionnaire which included 127 foods items at baseline FINDINGS TO DATE: Finally, a total of 30 949 participants, with 32.37% from Urumqi, 41.75% from Hotan, and 25.88% from Ili were recruited in XMC. The average age of participants was 56.21 years for men, and 54.75 years for women. More than 60% of participants in all three survey sites reported an average consumption of fruit and vegetable three or more times per week. In Hotan and Ili, the staple food was wheaten food, whereas, in Urumqi, rice and wheaten food was the food staples. Consumption of white meat, such as fish and poultry, was lower in the three survey locations. Based on self-reported disease from study participants, the five most common chronic diseases among participants across all three survey locations were dyslipidaemia, hypertension, cholecystitis, diabetes, ischaemic heart disease.

Future Plans: First, we will collect all health-related records of the study participants in January each year for the previous year. Second, 10% of subjects were randomly selected for telephone follow-up in the final year of cohort building. Finally, as planned, we will revisit the study subjects on site every 2-3 years. Again, we will conduct face-to-face questionnaires and collect biological specimens such as blood and urine from the study subjects.

Citing Articles

Associations of dietary inflammatory index scores and serum inflammatory factors with the risk of osteoporosis: a cross-sectional study from Xinjiang, China.

Tong M, Zhang H, Li Y, Fu W, Luo T, Dai J J Orthop Surg Res. 2024; 19(1):423.

PMID: 39039571 PMC: 11264401. DOI: 10.1186/s13018-024-04866-x.


Structural equation model analysis of the effect of visceral fat on osteoporosis.

Tong M, Li Y, Rong K, Sun Q, Dai J, Huang Y J Orthop Surg Res. 2024; 19(1):408.

PMID: 39014367 PMC: 11253341. DOI: 10.1186/s13018-024-04888-5.


Geographic disparities of dietary inflammatory index and its association with hypertension in middle-aged and elders in China: results from a nationwide cross-sectional study.

Dong W, Man Q, Zhang J, Liu Z, Gong W, Zhao L Front Nutr. 2024; 11:1355091.

PMID: 38515520 PMC: 10955052. DOI: 10.3389/fnut.2024.1355091.


Joint association of physical activity and diet quality with dyslipidemia: a cross-sectional study in Western China.

Mutalifu M, Zhao Q, Wang Y, Hamulati X, Wang Y, Deng L Lipids Health Dis. 2024; 23(1):46.

PMID: 38341553 PMC: 10858468. DOI: 10.1186/s12944-024-02030-2.


Reliability and validity of a semi-quantitative food frequency questionnaire: dietary intake assessment among multi-ethnic populations in Northwest China.

Zhai L, Pan H, Cao H, Zhao S, Yao P J Health Popul Nutr. 2023; 42(1):111.

PMID: 37858218 PMC: 10585915. DOI: 10.1186/s41043-023-00452-9.


References
1.
Zhai F, Du S, Wang Z, Zhang J, Du W, Popkin B . Dynamics of the Chinese diet and the role of urbanicity, 1991-2011. Obes Rev. 2013; 15 Suppl 1:16-26. PMC: 3868998. DOI: 10.1111/obr.12124. View

2.
Zhai F, He Y, Wang Z, Hu Y . [Status and characteristic of dietary intake of 12 minority nationalities in China]. Wei Sheng Yan Jiu. 2007; 36(5):539-41. View

3.
Zhang T, Zhang C, Zhang Y, Tang F, Li H, Zhang Q . Metabolic syndrome and its components as predictors of nonalcoholic fatty liver disease in a northern urban Han Chinese population: a prospective cohort study. Atherosclerosis. 2015; 240(1):144-8. DOI: 10.1016/j.atherosclerosis.2015.02.049. View

4.
He J, Guo S, Liu J, Zhang M, Ding Y, Zhang J . Ethnic differences in prevalence of general obesity and abdominal obesity among low-income rural Kazakh and Uyghur adults in far western China and implications in preventive public health. PLoS One. 2014; 9(9):e106723. PMC: 4154732. DOI: 10.1371/journal.pone.0106723. View

5.
Chen Z, Chen J, Collins R, Guo Y, Peto R, Wu F . China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up. Int J Epidemiol. 2011; 40(6):1652-66. PMC: 3235021. DOI: 10.1093/ije/dyr120. View