Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA.
Department of Oceanography, Faculty of Fisheries and Marine Science, Universitas Diponegoro, Semarang 50275, Indonesia.
Int J Environ Res Public Health. 2024 Oct 17;21(10):1370. doi: 10.3390/ijerph21101370.
It is unknown how recurring flooding impacts household diet in Central Java. We aimed to assess how recurrent flooding influenced household food access over 22 years in Central Java by linking the Global Surface Water dataset (GSW) to the Indonesian Family Life Survey. We examined linear and nonlinear relationships and joint effects with indicators of adaptive capacity. We measured recurrent flooding as the fraction of district raster cells with episodic flooding from 1984-2015 using GSW. Food access outcomes were household food expenditure share (FES) and dietary diversity score (DDS). We fit generalized linear mixed models and random forest regression models. We detected joint effects with flooding and adaptive capacity. Wealth and access to credit were associated with improved FES and DDS. The effect of wealth on FES was stronger in households in more flood-affected districts, while access to credit was associated with reduced odds of DDS in more flood-affected districts. Flooding had more predictive importance for FES than for DDS. Access to credit, a factor that ordinarily improves food access, may not be effective in flood-prone areas. Wealthier households may be better able to adapt in terms of food access. Future research should incorporate land use data to understand how different locales are affected and further understand the complexity of these relationships.
目前尚不清楚周期性洪灾如何影响爪哇中部的家庭饮食。我们旨在通过将全球地表水数据集（GSW）与印度尼西亚家庭生活调查相联系，评估 22 年来周期性洪灾如何影响爪哇中部家庭的食物获取。我们检验了线性和非线性关系以及与适应能力指标的联合效应。我们使用 GSW 测量了 1984-2015 年期间，因间歇性洪灾而出现的区栅格单元的比例，以此来衡量周期性洪灾。食物获取结果为家庭食物支出份额（FES）和饮食多样性得分（DDS）。我们拟合了广义线性混合模型和随机森林回归模型。我们检测到了与洪水和适应能力的联合效应。财富和获得信贷与提高 FES 和 DDS 有关。在受洪水影响更大的地区，财富对 FES 的影响更强，而在受洪水影响更大的地区，获得信贷与降低 DDS 的几率有关。洪水对 FES 的预测重要性大于 DDS。在易受洪水影响的地区，通常可以改善食物获取的信贷因素可能无效。更富裕的家庭在食物获取方面可能能够更好地适应。未来的研究应纳入土地利用数据，以了解不同地区受到的影响，并进一步了解这些关系的复杂性。
