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Li S, Mohamed Nor N, Kaliappan SR. Social determinants of child malnutrition outcomes: Evidence from CHNS in China. Heliyon 2024; 10:e23887. [PMID: 38187311 PMCID: PMC10767191 DOI: 10.1016/j.heliyon.2023.e23887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 01/09/2024] Open
Abstract
China is committed to reduce child malnutrition outcomes (CMO) rates to less than 5 % by 2030 in order to meet the Sustainable Development Goal (SDG). Yet, this is still an enormous challenge for China, particularly in disadvantaged areas, due to regional and urban-rural disparities. Using China Health and Nutrition Survey (CHNS) data from 1991 to 2015 and fixed-effect models, this study investigates the social determinants of stunting (n = 4012) measured by height-for-age z score (HAZ) and wasting (n = 4229) measured by weight-for-height z score (WHZ) in children under the age of five. According to the empirical findings, the significant social determinants of child stunting encompassed whether the child is insured (p < 0.01), maternal education level (primary school (p < 0.01) low middle school (p < 0.01); vocational school (p < 0.01)), maternal employment status (p < 0.05), mother's average working days (p < 0.05), average household per capita income (p < 0.01), household asset index (p < 0.01), urbanization index living in a community (medium (p < 0.05); higher (p < 0.01); highest (p < 0.01)) and living regions (west (p < 0.01); northeast (p < 0.05)). Children's maternal employment status (p < 0.05), mother's average working days (p < 0.05), living areas (p < 0.05) and living regions (central (p < 0.01); west (p < 0.01); north-east (p < 0.05)) are the significant factors impacting child wasting. Furthermore, the interaction impact between maternal employment and have one additional working day per week is positive. To attain SDGs, the Chinese government should priorities lowering stunting and wasting among 5-year-olds in the western region, particularly in impoverished regions. Also, it is possible to develop tailored policies for the growth and development of children under the age of five by addressing pertinent socio-economic factors.
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Affiliation(s)
- Sa Li
- School of Business and Economics, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia
- School of Business, Zhengzhou College of Finance and Economics, Zhengzhou, 450000, China
| | - Norashidah Mohamed Nor
- School of Business and Economics, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia
| | - Shivee Ranjanee Kaliappan
- School of Business and Economics, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia
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Jianfeng M, Mailin G, Yitang Y, Lei C, Ye Z, Lili N, Yan W, Shunhua Z, Jingyong W, Li Z, Linyuan S. tRNA-derived small RNA dataset in multiple organs of intrauterine growth-restricted pig. Sci Data 2023; 10:793. [PMID: 37949905 PMCID: PMC10638418 DOI: 10.1038/s41597-023-02715-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 11/01/2023] [Indexed: 11/12/2023] Open
Abstract
Intrauterine growth restriction (IUGR) impairs neonatal weight and causes multiple organ dysplasia. IUGR not only threatens human health but is also a significant constraint to the development of animal husbandry. However, the molecular mechanism underlying IUGR remains to be further elucidated. tRNA-derived small RNA (tsRNAs) is a regulative non-coding RNA, which has recently been reported to correlate with the onset and progression of several diseases. In this study, we investigated the tsRNAs expression profiles of IUGR pigs. A tsRNAs dataset for multiple organs in normal and IUGR pigs was generated, including muscle, liver, spleen and intestine. We further analyzed the characteristics of tsRNAs in different organs of pigs, and KEGG pathway analysis was performed to investigate possible pathways involved. This dataset will provide valuable information for further exploring the molecular mechanism of IUGR formation.
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Affiliation(s)
- Ma Jianfeng
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Gan Mailin
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yang Yitang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Chen Lei
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Zhao Ye
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Niu Lili
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Wang Yan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Zhang Shunhua
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Wang Jingyong
- Chongqing Academy of Animal Science, Chongqing, China
| | - Zhu Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China.
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China.
| | - Shen Linyuan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China.
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China.
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