A presentation given by Maureen Cheserek at the Transform Nutrition regional meeting 'Using evidence to inspire action in East Africa' Nairobi, Kenya 8 June 2017.
Benefits of nutrition-sensitive fish agri-food systems
Similar to Agrobiodiversity and dietary diversity for improved nutritional status of mother infant dyads in rongai sub county, kenya by maureen cheserek
Diet intake trends among pregnant women in rural area of rawalpindi, pakistanZubia Qureshi
Similar to Agrobiodiversity and dietary diversity for improved nutritional status of mother infant dyads in rongai sub county, kenya by maureen cheserek (20)
Agrobiodiversity and dietary diversity for improved nutritional status of mother infant dyads in rongai sub county, kenya by maureen cheserek
1. Agrobiodiversity and dietary diversity
for improved nutritional status of
mother infant dyads in Rongai sub-
county, Nakuru, Kenya
Maureen Cheserek
2. Introduction
Maternal and child malnutrition remains a public health
concern in many developing countries
In Kenya, 9% of women aged 15-49 years are
undernourished while 26% of the children aged 6-23
months are stunted, (KNBS and ICF Macro 2014).
The leading cause of malnutrition is suggested to be lack
of diverse diet and nutritional quality which can be
mitigated by encouraging agricultural biodiversity
Agro-biodiversity presents a practical entry point for
interventions that could improve dietary diversity and
enhance farmers’ livelihoods.
3. Main objective:
To determine the relationship between agro-biodiversity and nutrition,
identify entry points and barriers, and suitable interventions for
diversifying farm level production and diets in Rongai sub-county.
Study Area, design and sampling
Rongai sub-county of Nakuru County in Kenya
A cross-sectional survey
Two divisions were purposively selected: low agricultural potential
(Kampi ya moto) and high (Menengai west)
Random sampling of sub-locations: Morop, Kapsetek, Kampi ya
moto, Makutano; Mangu, Olrongai, Mimwaita, Kamungei, Ogilgei
Tools
Agro-biodiversity structured household questionnaire; Household food
insecurity access scale; KAP questionnaire; FDGs; 24 Hour Dietary
recall; Anthropometry, participatory workshops
Data Analysis
4. Key findings and discussion
Characteristics of the study population
Most households are headed by males (81.9%)
Mothers/care givers aged between 15 and 78 years with a mean
age of 29.09 ± 9.17 years.
Mean age of the children, 15.58±5.63 months
Overall, each family has about 5 members (5.31 ± 2.461), and an
average of about three children (2.80 ± 1.97).
Most mothers/caregivers have primary education (42.5%) and
married (76.6%)
Most households (61.8%) are in poorest category. Only 3.2% are
categorised as rich.
47.9% were identified as food secure while the majority (52.1%)
fell into varying categories of food insecurity
5. Table 1: Agricultural biodiversity in the two agro-
ecological zones of Rongai sub-county
8. Factors associated with better dietary diversity
Women
Male headed households
Women with higher
education
Women age (older)
Smaller families
Larger cultivated farms
There was no association
(P>0.05) between total
household agro-
biodiversity and dietary
diversity.
Children
• Minimum meal frequency
Mothers/caregiver's with low
education level
Fruit intake
Minimum dietary diversity
Children from high agricultural
potential areas
Consumed animal source food
Mothers have better infant and
young child feeding practices
10. Conclusions and recommendations
There was no relationship between agrobiodiversity and
dietary diversity
There are positive indications on better diet diversity for
children than mothers/caregivers
Entry points identified include the need for extension
services, nutrition education and behaviour change
communication, and economic empowerment projects to
improve economic access to better diet diversity.
Cultural practices that may limit diet diversity should be
addressed.
These evidence can be leveraged to monitor progress over
time and inform interventions to accelerate progress.
11. Acknowledgements
Financial support: International Food Policy Research
Institute (“IFPRI”)
Transform Nutrition Consortium
Egerton University
Bioversity International - Kenya
Ministry of Agriculture-Nakuru county
Ministry of Health-Nakuru county
Rongai sub-county administration, village elders,
community health workers and residents