Gitagia Maureen Wanjiru, Ramkat Rose Chepchirchir, Mituki Dorothy M, Termote Celine, Covic Namukolo, Cheserek Maureen Jepkorir
Department of Human Nutrition, Faculty of Health Science, Egerton University, Rift Valley, Kenya.
Department of Biological Sciences, Moi University, Eldoret, Rift Valley, Kenya.
Food Nutr Res. 2019 Jan 18;63. doi: 10.29219/fnr.v63.1553. eCollection 2019.
Empirical evidence on the link between agrobiodiversity and dietary diversity appears to be inconclusive. Thus, there arises a need to determine other factors that could significantly influence dietary diversity in different agro-ecological zones, as factors may vary from region to region.
The objective of this study was to document the status of agrobiodiversity and dietary diversity and to assess the determinants of dietary diversity among women of reproductive age in two different agro-ecological zones of Rongai Sub-County in Kenya.
A cross-sectional study of 384 women aged 18-49 years was conducted. Agrobiodiversity was measured using the Shannon-Wiener index, species richness (count) and production diversity score. A 24-hour dietary recall was used to determine minimum dietary diversity for women (MDD-W) of reproductive age.
Although the level of agrobiodiversity was different between the low and high agro-ecological zones (using Shannon-Wiener index); the women's dietary diversity was not different ( > 0.05) between low (3.78 ± 0.99) and high potential areas (3.84 ± 1.05). In multivariate logistic regression, there was no association ( > 0.05) between agrobiodiversity indicators and dietary diversity across the two agricultural zones. Factors influencing MDD-W in two agricultural zones were different. In low potential areas, woman's education level positively determined dietary diversity, while in high potential areas household gender, woman's education level, woman's age and family size influenced MDD-W.
The proportion of women who met minimum dietary diversity was low. Although agrobiodiversity was different in the two agro-ecological zones, women's dietary diversity scores were similar. In low agricultural potential areas, only education level influenced women's dietary diversity while household gender, education level, age and family size were the important determinants in high agricultural potential areas. Therefore, it is recommended that nutrition interventions focusing on lessening malnutrition and improving dietary quality should pay special attention to differences in agro-ecological zones to develop region-specific interventions instead of generalizing interventions.
关于农业生物多样性与饮食多样性之间联系的实证证据似乎尚无定论。因此，有必要确定其他可能显著影响不同农业生态区饮食多样性的因素，因为不同地区的因素可能有所不同。
本研究的目的是记录农业生物多样性和饮食多样性的现状，并评估肯尼亚荣盖县两个不同农业生态区育龄妇女饮食多样性的决定因素。
对384名年龄在18 - 49岁的妇女进行了横断面研究。农业生物多样性采用香农 - 维纳指数、物种丰富度（计数）和生产多样性得分进行测量。采用24小时饮食回顾法来确定育龄妇女的最低饮食多样性（MDD - W）。
尽管低农业生态区和高农业生态区的农业生物多样性水平不同（使用香农 - 维纳指数）；但低潜力地区（3.78±0.99）和高潜力地区（3.84±1.05）妇女的饮食多样性并无差异（P>0.05）。在多因素逻辑回归中，两个农业区的农业生物多样性指标与饮食多样性之间无关联（P>0.05）。影响两个农业区MDD - W的因素不同。在低潜力地区，妇女的教育水平对饮食多样性有正向决定作用，而在高潜力地区，家庭性别、妇女的教育水平、妇女年龄和家庭规模影响MDD - W。
达到最低饮食多样性的妇女比例较低。尽管两个农业生态区的农业生物多样性不同，但妇女的饮食多样性得分相似。在农业潜力低的地区，只有教育水平影响妇女的饮食多样性，而在农业潜力高的地区，家庭性别、教育水平、年龄和家庭规模是重要的决定因素。因此，建议关注减少营养不良和改善饮食质量的营养干预措施应特别关注农业生态区的差异，以制定针对特定区域的干预措施，而不是一概而论。
