Food accessibility, diversity of agricultural production and dietary pattern in rural China

Huang, Yingying; Tian, Xu

doi:10.1016/j.foodpol.2019.03.002

Cited by 77 publications

(128 citation statements)

References 31 publications

Supporting

Mentioning

119

Contrasting

Order By: Relevance

“…According to the CHNS survey, the overconsumption of legumes and nuts is popular for Chinese residents. In addition, this result is also consistent with other studies [2,4]. The category of milk and milk products is the second largest source of Chinese DQD and the share it takes slightly increases over the period.…”

Section: Structural Changes Of the Dqd Over 2004-2011supporting

confidence: 92%

“…The average proportion of teens and elders in the households are 8.53% and 4.1%, respectively. 2 The sum of preferences for five food categories, including healthy foods (i.e., fruits and vegetables) and unhealthy foods (i.e., fast food, salty snacks, soft drinks, and sugared fruit drinks), on a five-point Likert scale, the higher preference index indicates a healthier food preference; 3 Defined by a multidimensional 12-component urbanization index, including the population density, physical, social, cultural, and economic environment; 4 Labor intensity levels: 1 = very light physical activity, working in a sitting position; 2 = light physical activity, working in a standing position; 3 = moderate physical activity; 4 = heavy physical activity; and 5 = very heavy physical activity; 5 Drinking: 1 = no drinking; 2 = no more than once a month; 3 = once or twice a month; 4 = once or twice a week; 5 = 3-4 times a week; 6 = almost every day. Source: Calculated by the authors.…”

Section: Methodsmentioning

confidence: 99%

“…Detailed demographic, lifestyle, labor force participation, physical activity, and inactivity data for each individual were all collected by well-trained interviewers through face-to-face structured interviews [46]. According to the previous studies [1,2,28,34,48,49], many factors have strong impacts on the diet, including personal characteristics, income, age, gender, intensity of labor, food preferences, education, drinking, smoking, exercises time, and sedentary time, etc., the present study also takes account these variables in the analysis of Chinese diet quality. In this study, per capita annual net income is calculated by dividing the annual total household income by the number of family members and deflated by consumer price index (CPI) at 2015 prices.…”

Section: Measurement Of Covariatesmentioning

confidence: 99%

“…Given the possible existence of interaction between income and food preference index, an interaction term of those two variables was adopted in the regression model. In addition, income may also be associated with external consumption environment [2]. Therefore, the interaction term of income and urbanization index was employed in the model.…”

Section: Multivariate Ordinary Least Squares Regressionmentioning

confidence: 99%

“…Chinese have been experiencing a remarkable nutrition transition with the rapid economic growth in the past decades [1][2][3][4][5]. The diet patterns gradually shift from the traditional diet, which is dominated by cereals and vegetables, towards the pattern associated with high intake of fat and calorie density foods.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Dynamics of Chinese Diet Divergence from Chinese Food Pagoda and Its Association with Adiposity and Influential Factors: 2004–2011

Zhou

Leepromrath

Tian

et al. 2020

IJERPH

Self Cite

View full text Add to dashboard Cite

Nutrition transition in China has a strong impact on dietary quality and health of Chinese consumers. This study developed the diet quality divergence Index (DQD), the divergence between real food consumption and the Chinese food pagoda 2016 (CFP), to measure the quality of diet in China. Using four waves of data (2004, 2006, 2009, and 2011) from China Health and Nutrition Survey (CHNS), this study shed light on the transition of diet quality for Chinese residents. Results indicate that the DQD generally decreased and Chinese diet quality improved during 2004–2011. The divergence was mainly caused by over-consumption of legumes and nuts, and under-consumption of milk and milk products. Rising income and urbanization were positively correlated with diet quality for the people with low DQD. However, both of them had negative impacts on diet quality for those with high DQD. Females and rural residents held a lower DQD than their counterparts. The results also revealed that healthy food preference, education, dining at home, household size, proportions of teens (6–17) and elders (over 64) in the families are positively correlated with Chinese diet quality. However, labor intensity, frequency of drinking alcohol, and smoking have negative impacts on diet quality. Moreover, higher DQD was found to be associated with increasing risks of overweight/obesity. Therefore, we suggest national healthy policies should pay more attention to nutrition education. It is also necessary to focus on populations with poor diet quality and to adopt measures to control drinking alcohol and smoking.

show abstract

Section: Structural Changes Of the Dqd Over 2004-2011supporting

confidence: 92%

Section: Methodsmentioning

confidence: 99%

Section: Measurement Of Covariatesmentioning

confidence: 99%

Section: Multivariate Ordinary Least Squares Regressionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dynamics of Chinese Diet Divergence from Chinese Food Pagoda and Its Association with Adiposity and Influential Factors: 2004–2011

Zhou

Leepromrath

Tian

et al. 2020

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

Cost‐effectiveness of zinc interventions in China: A cohort‐based Markov model

Tan,

Wang,

Guo

et al. 2023

Agribusiness

View full text Add to dashboard Cite

Zinc acts as an important cofactor in the body and is essential for normal functions. Several zinc interventions have been implemented worldwide to improve the public's zinc status, but limited studies have assessed their cost‐effectiveness. To help inform decision‐making on zinc interventions to maximize benefits within a fixed budget, we took China as an example and evaluated the cost‐effectiveness of three interventions, that is, supplementation, food fortification, and biofortification. As an essential group at high risk of zinc deficiency, children aged 5–14 years, who account for 10% of the Chinese population, were selected as the target group in this study. We constructed a decision‐analytic Markov model to determine the cost‐effectiveness of interventions in China under different scenarios. In our model, biofortification through conventional breeding was shown to be the most cost‐effective approach in most scenarios. Compared with other interventions, zinc supplementation gained fewer quality‐adjusted life years at a higher net cost, suggesting that this common approach may not be optimal for large‐scale, long‐term implementation at the national level. While the robustness of the results was further confirmed by the sensitivity analysis, more research is needed to assess the cost‐effectiveness of addressing zinc deficiency with other interventions. Further clinical trials are also expected to evaluate the effectiveness of zinc interventions in reducing pneumonia cases [EconLit Citations: I18, Q16, Q18].

show abstract

E‐commerce improves dietary quality of rural households in China

Shen,

Zhu,

Qaim

et al. 2023

Agribusiness

Self Cite

View full text Add to dashboard Cite

E‐commerce is gaining importance in the food sector of many countries, and its potential influence on people's access to food and dietary choices is yet to be thoroughly investigated. In this study, we analyze data from a food consumption survey conducted in rural China in 2021 to examine the impact of e‐commerce on individual food consumption patterns and dietary quality. Our results with instrumental variable models show that e‐commerce significantly reduces the consumption of staple foods, such as cereals and potatoes, while it increases the consumption of legumes, nuts, milk, and milk products, even after controlling for income and other confounding factors. Additionally, e‐commerce contributes to higher dietary diversity and dietary quality among rural households. In the face of shrinking physical markets in rural areas, it seems that rural e‐commerce can serve as an important mechanism to improve food access and meet the diversifying dietary demands of rural residents. [EconLit Citations: Q13, L81].

show abstract

Food accessibility, diversity of agricultural production and dietary pattern in rural China

Cited by 77 publications

References 31 publications

Dynamics of Chinese Diet Divergence from Chinese Food Pagoda and Its Association with Adiposity and Influential Factors: 2004–2011

Dynamics of Chinese Diet Divergence from Chinese Food Pagoda and Its Association with Adiposity and Influential Factors: 2004–2011

Cost‐effectiveness of zinc interventions in China: A cohort‐based Markov model

E‐commerce improves dietary quality of rural households in China

Contact Info

Product

Resources

About