IFPRI Gender Methods Seminar presented by Jessica Ham, Women's Empowerment in Agricultural Index (WEAI) PhD fellow.
Screencast available here: http://bit.ly/1w6NniW
Abstract: My dissertation research investigates the effectiveness of coping with food insecurity in a subsistence society in northern Ghana that is transitioning to a peri-urban environment. Research shows that food insecurity predicts poor mental health (Cole and Tembo 2011; Hadley and Patil 2008; Lund et al. 2010; Nanama and Frongillo 2012). My project is equally concerned with the reverse prediction, whether poor mental health leads to reduced capacity to assure access to food. Where food accessibility depends upon managing diverse and labor-intensive economic activities meant to procure social and material needs, poor mental health may perpetuate conditions of vulnerability. I propose that this pathway is mediated by physiological stress responses as measured through blood pressure and the stress hormone cortisol. In turn, I propose that poor mental health, supplemented by elevated cortisol profiles and blood pressure may result in deleterious behavioral responses seen in household socio-economic decision-making processes. I therefore investigate how poor mental health may influence long-term adaptations.
Screencast available here: http://bit.ly/1w6NniW
Bio:
Jessica Ham is a bio-cultural anthropologist and PhD candidate at the University of Georgia who was selected in 2012 to receive a Women’s Empowerment in Agriculture (WEAI) Ph.D.dissertation research fellowship. As a bio-cultural anthropologist, she seeks to understand how our social and economic worlds influence human health and biology. Specifically, her dissertation research looks at how food insecurity influences mental health and how poor mental health may contribute to physiological processes of the stress response system that can impair socio-economic productivity. Jessica holds an MA in the Anthropology of Development from the University of Sussex (2007). Prior to pursuing a doctorate degree, she worked for three years in the non-profit world in advocacy for equitable health care access.
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Link Between Food Insecurity, Mental Health and Productivity in Ghana
1. J E S S I C A H A M ,
U N I V E R S I T Y O F
G E O R G I A
Worried sick: investigating the linkages
among food insecurity, mental health, and
productivity in the Ghanaian savannah
2. Does poor mental
health affect human
biology and health?
If so, do these effects
feed back into food
insecurity?
3. Upper West Ghana
Why food insecurity, why
here?
33% of the population
in the north is food
insecure
6% of the population in
the south is food
insecure
42% of the Wa West
district is food insecure
2009; 2012 WFP
Setting the scene
4. Upper West
Livelihoods
Women: charcoal, shea
nuts, firewood, beer
brewing, trading
Men: day labor (farm
and market), security
guard
Shea fruit Charcoal
Sorghum Maize
7. Household Food Insecurity Access Survey
8 Questions (1 month recall)
Adapted from the Food and
Nutritional Assistance—FANTA
survey
3 domains
Perception of food accessibility
Perception of quantity of food
consumed
Perception of quality of food
consumed
Frequency of occurrence
Never
Rarely (1-2x)
Sometimes (3-10x)
Often (>10x)
8. Food
Insecurity
March
Mean Score 1: 4.4
Mean Score 2: 13.1
0
10
20
30
40
50
60
70
80
90
100
FI 1 FI 2 FI 3 FI 4 FI 5 FI 6 FI 7 FI 8
PercentPositiveResponse
Community 1
Community 2
9. Food
Insecurity July
Mean Score 1: 3.4
Mean Score 2: 6.7
0
10
20
30
40
50
60
70
80
90
100
FI 1 FI 2 FI 3 FI 4 FI 5 FI 6 FI 7 FI 8
Community 1
Community 2
10. Food
Insecurity
October
Mean Score 1: 0.79
Mean Score 2: 2.4
0
10
20
30
40
50
60
70
80
90
100
FI 1 FI 2 FI 3 FI 4 FI 5 FI 6 FI 7 FI Q8
Community 1
Community 2
11. Mean Food Insecurity Scores
0
2
4
6
8
10
12
14
March July October
Community 1
Community 2
12. Mental Health Survey
14 symptoms
5 psychological (too much thinking)
8 somatic (heart pounding)
2 cognitive (easily forgetting)
Frequency of occurrence
Never
Rarely (1-2x)
Sometimes (3-10x)
Often (>10x)
13. Mental Health
March
Mean Score 1: 10.5
Mean Score 2: 14.0
0
10
20
30
40
50
60
70
80
90
100
MH1
2
3
4
5
6
7
8
9
10
11
12
13
14
PercentPositiveResponse
Community 1
Community 2
14. Mental Health
July
Mean Score 1: 7.0
Mean Score 2: 10.5
0
10
20
30
40
50
60
70
80
90
100
MH1
2
3
4
5
6
7
8
9
10
11
12
13
14
Community 1
Community 2
15. Mental Health
October
Mean Score 1: 4.9
Mean Score 2: 8.0
0
10
20
30
40
50
60
70
80
90
100
MH1
2
3
4
5
6
7
8
9
10
11
12
13
14
Community 1
Community 2
16. Mean Mental Health Scores
0
2
4
6
8
10
12
14
16
March July October
Community 1
Community 2
17. What is going on with the food insecurity and
mental health scores?
“In anthropological terms,
people are at one and the
same time embedding their
decisions in both short and
long term frameworks, in
which present consumption
or expenditure decisions
express, confirm, or create a
potential claim over the
longer term. The optimal
solution meets both sets of
expectations and predictions”
(Guyer 1997)
22. Measuring Productivity
Agricultural yields for 2013
and 2014
15 weeks of labor
allocation surveys
Iterated structured
interviews on income
earned and income
allocated
Illness, days of missed
work
Editor's Notes
This presentation will outline my dissertation research, almost completed. I will present some preliminary data as well as some of my early, ethnographic hunches on the shape of the story I think I will be telling.
Mental health is increasingly a focus of social science research. By 2020 the WHO forecasts that common mental disorders will be the most pressing global health burden There is an established relationship between food insecurity and mental health. What remains unexplored is what the consequences of this relationship are and if any of these consequences potentially feed back into the problem of food insecurity. This is the focus of my dissertation research, a focus that will help clarify the causal route.
This region’s economy is one largely based on subsistence economy, with some minimal cash cropping. Maize is the staple grain, replacing the once dominant grains millet and sorghum. Legumes are additionally grown. Both men and women participate in farming, but men are culturally deemed “the farmer” and have access to land. Women participate in their husband’s farms and can farm on their own if they are granted access to land and have the time/access to resources to do so. Women have more access to doing other livelihood activities.
This community is one that I loosely refer to as being more market integrated. It is along a main road that connects to the nearby urban center, a corridor that is increasingly peri-urban in nature. Because the urban center is expanding, land is a sought after commodity. A land dispute with the neighboring community is an ongoing distinguishing factor. Because land is increasingly under threat, there is a strong emphasis on constructing concrete block houses, a very expensive investment. Concrete block houses place more permanent claim on land.
Men here are involved in day labor activities in the urban center—largely construction work or security guard work for 3-$7 a day. Growing groundnuts as a commodity crop is also a common practice. Women here are heavily involved in trading activities—serving as intermediaries between charcoal producers and the biggest market.
As compared to Community 1, this community is less market integrated. This community resides along a feeder road that is always in disrepair. Most residents do not own motorized vehicles and are reliant on bicycles for getting to and from the urban center (12 kilometers).
There is no electricity.
Commodity crops (groundnuts) are not as widely grown. Men are more likely to work as day laborers on farms, rather than commute into town to work in construction. Women do not participate in trading activities.
To look at the relationship between food insecurity and mental health I’ve conducted 3 seasonal iterations of surveys.
The highest attainable score on the food insecurity survey is 24. This graph represents the percentage of people who had a positive response to the questions—it does not consider severity. Community 1 is the community I refer to as more market integrated. For further comparative effect, I’ve added the mean scores.
What’s really striking about this chart is that March has a higher mean food insecurity representation than July. This is striking because July is culturally perceived as the hungry season. This period is colloquially referred to as JuneJuly.
March is only 3 months removed from the end of the harvest season compared to the 6-7 months removed experienced in JuneJuly
Mean Blood Pressure Community 1:
110/71 (April)
110/72 (August)
Mean Blood Pressure Community 2:
115/74 (April)
113/73 (August)