LSTM Home > LSTM Research > LSTM Online Archive

Explaining Income-Related Inequalities in Dietary Knowledge: Evidence from the China Health and Nutrition Survey

Xu, Yongjian, Zhu, Siyu, Zhang, Tao, Wang, Duolao ORCID: https://orcid.org/0000-0003-2788-2464, Hu, Junteng, Gao, Jianmin and Zhou, Zhongliang (2020) 'Explaining Income-Related Inequalities in Dietary Knowledge: Evidence from the China Health and Nutrition Survey'. International Journal of Environmental Research and Public Health, Vol 17, Issue 2, p. 532.

[img]
Preview
Text
ijerph-17-00532.pdf - Published Version
Available under License Creative Commons Attribution.

Download (808kB) | Preview

Abstract

Lack of adequate dietary knowledge may result in poor health conditions. This study aims to measure income-related inequality in dietary knowledge, and to explain the sources of the inequality. Data were from the China Health and Nutrition Survey (CHNS) conducted in 2015. A summary of the dietary knowledge score and dietary guideline awareness was used to measure the dietary knowledge of respondents. The concentration index was employed as a measure of socioeconomic inequality and was decomposed into its determining factors. The study found that the proportion of respondents who correctly answered questions on dietary knowledge was significantly low for some questions. Compared to rural residents, urban residents had a higher proportion of correctly answered dietary knowledge questions. In addition, there are pro-rich inequalities in dietary knowledge. This observed inequality is determined not only by individual factors but also high-level area factors. Our study recommends that future dietary education programs could take different strategies for individuals with different educational levels and focus more on disadvantaged people. It would be beneficial to consider local dietary habits in developing education materials.

Item Type: Article
Subjects: QT Physiology > Human Physiology > QT 104 General works
QU Biochemistry > Vitamins > QU 146 Nutritional surveys
WA Public Health > Statistics. Surveys > WA 900 Public health statistics
WD Disorders of Systemic, Metabolic or Environmental Origin, etc > Nutrition Disorders > WD 100 General works
Faculty: Department: Clinical Sciences & International Health > Clinical Sciences Department
Digital Object Identifer (DOI): https://doi.org/10.3390/ijerph17020532
Depositing User: Marie Hatton
Date Deposited: 17 Feb 2020 10:53
Last Modified: 13 Mar 2020 16:12
URI: https://archive.lstmed.ac.uk/id/eprint/13707

Statistics

View details

Actions (login required)

Edit Item Edit Item