Waid Jillian L, Sinharoy Sheela S, Ali Masum, Stormer Ame E, Thilsted Shakuntala H, Gabrysch Sabine
Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.
Helen Keller International, Dhaka, Bangladesh.
Curr Dev Nutr. 2018 Nov 21;3(4):nzy091. doi: 10.1093/cdn/nzy091. eCollection 2019 Apr.
The government of Bangladesh has implemented multiple policies since 1971 to provide the population with more diverse and nutritious diets.
The aim of this study was to examine the drivers of dietary change over time and the roles agriculture and economic development have played.
We used principal component analysis to derive dietary patterns from 7 cross-sectional rounds of the Bangladesh Household [Income and] Expenditure Survey. We then used linear probability models to estimate associations of adherence to dietary patterns with socio-economic characteristics of households, and with agricultural production on the household and regional level. For dietary patterns that increased or decreased over time, Blinder-Oaxaca decomposition was used to assess factors associated with these changes.
Seven dietary patterns were identified: modern, traditional, festival, winter, summer, monotonous, and spices. All diets were present in all survey rounds. In 1985, over 40% of households had diets not associated with any identified pattern, which declined to 12% by 2010. The proportion of the population in households adhering to the modern, winter, summer, and monotonous diets increased over time, whereas the proportion adhering to the traditional diet decreased. Although many factors were associated with adherence to dietary patterns in the pooled sample, changes in observed factors only explained a limited proportion of change over time due to variation in coefficients between periods. Increased real per capita expenditure was the largest driver of elevated adherence to dietary patterns over time, whereas changes in the agricultural system increased adherence to less diverse dietary patterns.
These findings highlight the need for both diversified agricultural production and a continued reduction in poverty in order to drive dietary improvement. This study lays the groundwork for further analysis of the impact of changing diets on health and nutrition.
自1971年以来,孟加拉国政府实施了多项政策,为民众提供更多样化、更营养的饮食。
本研究旨在探讨随时间推移饮食变化的驱动因素以及农业和经济发展所起的作用。
我们使用主成分分析从孟加拉国家庭[收入与]支出调查的7轮横断面数据中得出饮食模式。然后,我们使用线性概率模型来估计饮食模式依从性与家庭社会经济特征以及家庭和区域层面农业生产之间的关联。对于随时间增加或减少的饮食模式,我们使用布林德-奥克分解法来评估与这些变化相关的因素。
确定了七种饮食模式:现代型、传统型、节日型、冬季型、夏季型、单调型和香料型。所有饮食模式在所有调查轮次中均有出现。1985年,超过40%的家庭饮食与任何已确定的模式无关,到2010年这一比例降至12%。随着时间的推移,遵循现代、冬季、夏季和单调饮食模式的家庭人口比例增加,而遵循传统饮食模式的比例下降。尽管在汇总样本中,许多因素与饮食模式的依从性有关,但由于不同时期系数的变化,观察到的因素变化仅解释了随时间变化的有限比例。实际人均支出增加是随时间推移饮食模式依从性提高的最大驱动因素,而农业系统的变化增加了对多样性较低饮食模式的依从性。
这些发现凸显了实现农业生产多样化和持续减贫以推动饮食改善的必要性。本研究为进一步分析饮食变化对健康和营养的影响奠定了基础。