Ramalebo Katiso, Chifurira Retius, Zewotir Temesgen, Chinhamu Knowledge
University School of Mathematics, Statistics Computer Science, University of KwaZulu-Natal, Westville Campus, Durban, South Africa.
Asian J Agric Rural Dev. 2025;15(2):309-338. doi: 10.55493/5005.v15i2.5419. Epub 2025 Jun 19.
Literature suggests that a varied and high-quality diet is essential for adequate nutrient intake and improved health outcomes. Despite this knowledge, and considering that agricultural participation can enhance food availability and diversity, populations continue to face challenges in achieving dietary diversity due to socioeconomic constraints among a plethora of factors. Understanding this relationship becomes particularly important for Lesotho, where such insights can inform strategies to promote dietary diversity, improve public health, and reduce healthcare costs. This study utilized data from the Household Budget Survey to examine how household food consumption patterns, socioeconomic factors, and agricultural participation influence food diversity and health-related costs. Using Partial Least Squares-Structural Equation Modeling (PLS-SEM), we analyzed the relationships between these variables to gain a nuanced understanding of their interplay. Results reveal that food diversity is shaped by multiple factors, including agricultural participation, which directly affects health outcomes. Household characteristics, such as income, household size, and education level of the household head, significantly predict both food diversity and health expenditure. These findings underscore that supporting agricultural engagement and promoting dietary diversity can be cost-effective strategies to improve nutrition and reduce healthcare costs in Lesotho. Policymakers should focus interventions in these areas.
文献表明,多样化且高质量的饮食对于充足的营养摄入和改善健康状况至关重要。尽管有这方面的认知,并且考虑到参与农业活动可以提高食物的可得性和多样性,但由于众多因素中的社会经济限制,人们在实现饮食多样化方面仍面临挑战。对于莱索托而言,理解这种关系尤为重要,因为此类见解可为促进饮食多样化、改善公众健康和降低医疗成本的策略提供依据。本研究利用家庭预算调查的数据,来考察家庭食物消费模式、社会经济因素和农业参与如何影响食物多样性以及与健康相关的成本。我们使用偏最小二乘结构方程模型(PLS-SEM)分析了这些变量之间的关系,以细致入微地了解它们之间的相互作用。结果显示,食物多样性受到多种因素的影响,包括农业参与,而农业参与又直接影响健康状况。家庭特征,如收入、家庭规模以及户主的教育水平,对食物多样性和医疗支出均有显著的预测作用。这些发现强调,在莱索托,支持农业活动和促进饮食多样化可能是改善营养状况和降低医疗成本的具有成本效益的策略。政策制定者应将干预重点放在这些领域。