scholarly journals Dietary patterns and cardiometabolic risks in diverse less-developed ethnic minority regions: results from the China Multi-Ethnic Cohort (CMEC) Study

2021 ◽  
Vol 15 ◽  
pp. 100252
Author(s):  
Xiong Xiao ◽  
Zixiu Qin ◽  
Xiaoyan Lv ◽  
Yingxue Dai ◽  
Zhuoga Ciren ◽  
...  
2020 ◽  
Vol 11 ◽  
pp. 75-93
Author(s):  
Bian Zhiyao

From the perspective of the transaction cost theory, this paper analyzes that the mandarin popularization in ethnic minority regions helps reduce the transaction cost, enhances trust, results in the "innovation and entrepreneurship" effect, and improves the action mechanism of the county-level innovation and entrepreneurship rate. Furthermore, based on the complete sample investigation results of rural residents within 0-3km in eight counties of Sino-Vietnam border, it constructs the quantitative model to conduct the empirical analysis of the significant positive role played by mandarin popularization in the county-level innovation and entrepreneurship in ethnic minority regions, which is that when the mandarin level is changed by 1%, the county-level innovation and entrepreneurship rate is changed by 0.397%.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256078
Author(s):  
Qiang Zhang ◽  
Zhitao Liu ◽  
Wenmin Hu ◽  
Xinguang Chen ◽  
Juanjuan Li ◽  
...  

Background Few studies have focused on the influencing factors of dietary practices among ethnic minority groups in China, particularly from a social capital perspective. Methods Between May and September 2019, we conducted a cross-sectional survey among adults (n = 1,813) from three ethnic minority communities (A Chang, De Ang and Jing Po) in Yunnan Province, Southwest China. Dietary intakes during the past 12 months were measured with a 100-item Food Frequency Questionnaire (FFQ), and two forms of social capital (bonding and bridging) were measured using the validated Personal Social Capital Scale 16 (PSCS-16). Principal component factor analysis was used to derive dietary patterns from 20 food groups. Multivariate linear regressions were used to examine the associations between social capital and dietary patterns. Results Two distinct dietary patterns were identified: the traditional and the modern. The traditional pattern was characterized by high consumptions of tubers, poultry, rice, fruits, vegetables and low consumptions of oil and salt, whereas the modern pattern was highly correlated with egg, nut, beverage, snack and oil consumptions. After adjusted for potential confounders, the modern pattern was positively associated with bonding capital (β = 0.066; 95%CI: 0.058, 0.075) and negatively associated with bridging capital (β = -0.017; 95%CI: -0.024, -0.010). Conclusion In conclusion, an unhealthy dietary pattern was identified among the ethnic minority groups in Southwest China. The influences of people’s social connections on dietary behaviors should be considered in designing and implementing nutrition intervention programs for the population.


2019 ◽  
Vol 125 (Suppl_1) ◽  
Author(s):  
Chiu-fen Yang ◽  
Tsung-Jen Lin ◽  
Chin-Hung Liu

2020 ◽  
pp. 1-11
Author(s):  
Madison N. LeCroy ◽  
Holly L. Nicastro ◽  
Kimberly P. Truesdale ◽  
Donna M. Matheson ◽  
Carolyn E. Ievers-Landis ◽  
...  

Abstract Few studies have derived data-driven dietary patterns in youth in the USA. This study examined data-driven dietary patterns and their associations with BMI measures in predominantly low-income, racial/ethnic minority US youth. Data were from baseline assessments of the four Childhood Obesity Prevention and Treatment Research (COPTR) Consortium trials: NET-Works (534 2–4-year-olds), GROW (610 3–5-year-olds), GOALS (241 7–11-year-olds) and IMPACT (360 10–13-year-olds). Weight and height were measured. Children/adult proxies completed three 24-h dietary recalls. Dietary patterns were derived for each site from twenty-four food/beverage groups using k-means cluster analysis. Multivariable linear regression models examined associations of dietary patterns with BMI and percentage of the 95th BMI percentile. Healthy (produce and whole grains) and Unhealthy (fried food, savoury snacks and desserts) patterns were found in NET-Works and GROW. GROW additionally had a dairy- and sugar-sweetened beverage-based pattern. GOALS had a similar Healthy pattern and a pattern resembling a traditional Mexican diet. Associations between dietary patterns and BMI were only observed in IMPACT. In IMPACT, youth in the Sandwich (cold cuts, refined grains, cheese and miscellaneous) compared with Mixed (whole grains and desserts) cluster had significantly higher BMI (β = 0·99 (95 % CI 0·01, 1·97)) and percentage of the 95th BMI percentile (β = 4·17 (95 % CI 0·11, 8·24)). Healthy and Unhealthy patterns were the most common dietary patterns in COPTR youth, but diets may differ according to age, race/ethnicity or geographic location. Public health messages focused on healthy dietary substitutions may help youth mimic a dietary pattern associated with lower BMI.


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