Social capital and dietary patterns in three ethnic minority groups native to Yunnan Province, Southwest China.

<h4>Background</h4>Few studies have focused on the influencing factors of dietary practices among ethnic minority groups in China, particularly from a social capital perspective.<h4>Methods</h4>Between May and September 2019, we conducted a cross-sectional survey among adults...

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Autores principales: Qiang Zhang, Zhitao Liu, Wenmin Hu, Xinguang Chen, Juanjuan Li, Qingqing Wan, Jiang Zhao, Yuan Ruan, Baoqing Dao, Yunfei Li, Xiangdong Min
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Publicado: Public Library of Science (PLoS) 2021
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spelling oai:doaj.org-article:e195246c68ef4b9a9dc84870347ac7cf2021-12-02T20:18:13ZSocial capital and dietary patterns in three ethnic minority groups native to Yunnan Province, Southwest China.1932-620310.1371/journal.pone.0256078https://doaj.org/article/e195246c68ef4b9a9dc84870347ac7cf2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256078https://doaj.org/toc/1932-6203<h4>Background</h4>Few studies have focused on the influencing factors of dietary practices among ethnic minority groups in China, particularly from a social capital perspective.<h4>Methods</h4>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.<h4>Results</h4>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).<h4>Conclusion</h4>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.Qiang ZhangZhitao LiuWenmin HuXinguang ChenJuanjuan LiQingqing WanJiang ZhaoYuan RuanBaoqing DaoYunfei LiXiangdong MinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256078 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Qiang Zhang
Zhitao Liu
Wenmin Hu
Xinguang Chen
Juanjuan Li
Qingqing Wan
Jiang Zhao
Yuan Ruan
Baoqing Dao
Yunfei Li
Xiangdong Min
Social capital and dietary patterns in three ethnic minority groups native to Yunnan Province, Southwest China.
description <h4>Background</h4>Few studies have focused on the influencing factors of dietary practices among ethnic minority groups in China, particularly from a social capital perspective.<h4>Methods</h4>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.<h4>Results</h4>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).<h4>Conclusion</h4>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.
format article
author Qiang Zhang
Zhitao Liu
Wenmin Hu
Xinguang Chen
Juanjuan Li
Qingqing Wan
Jiang Zhao
Yuan Ruan
Baoqing Dao
Yunfei Li
Xiangdong Min
author_facet Qiang Zhang
Zhitao Liu
Wenmin Hu
Xinguang Chen
Juanjuan Li
Qingqing Wan
Jiang Zhao
Yuan Ruan
Baoqing Dao
Yunfei Li
Xiangdong Min
author_sort Qiang Zhang
title Social capital and dietary patterns in three ethnic minority groups native to Yunnan Province, Southwest China.
title_short Social capital and dietary patterns in three ethnic minority groups native to Yunnan Province, Southwest China.
title_full Social capital and dietary patterns in three ethnic minority groups native to Yunnan Province, Southwest China.
title_fullStr Social capital and dietary patterns in three ethnic minority groups native to Yunnan Province, Southwest China.
title_full_unstemmed Social capital and dietary patterns in three ethnic minority groups native to Yunnan Province, Southwest China.
title_sort social capital and dietary patterns in three ethnic minority groups native to yunnan province, southwest china.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/e195246c68ef4b9a9dc84870347ac7cf
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