GLYCEMIC INDEX AND LOAD OF COMMONLY CONSUMED CASSAVA VARIETIES

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ABSTRACT

Cassava is an important staple consumed in various forms by humans. Information on glycemic index of staple foods are required for effective nutrition awareness creation. This study was designed to determine the glycemic index of commonly consumed cassava varieties in south-east Nigeria. The study was descriptive-crossectional and experimental in design. The samples were subjected to chemical (proximate) analysis using standard procedure. Twenty apparently healthy undergraduate students (fasting blood sugar: 71.50±10.73 mg/dl) assigned to four groups consumed 50g available carbohydrate portions of test foods. Blood samples were collected in the fasting state, 1 hourly, 1½  hourly  post-ingestion of the test food to determine plasma glucose concentrations, incremental area under the glucose curve, glycemic index and glycemic load. Results revealed that the moisture content was high in the two fufu varieties (52.20-53.75g/100g) while the white and pro-vitamin A garri were low in moisture (7.94-8.35g/100g). Ash content of the samples was highest in white garri (1.76 + 0.04 g/100g) followed by the pro-vit A garri (1.58 + 0.05 g/100g) and other fufu varieties (0.74-0.82g/100g). Yellow garri (1.16 + 0.04 g/100g) contained the highest fat value when compared to other samples (white garri -1.05 + 0.01 g/100g; white fufu -0.63 + 0.03 g/100g).  Crude protein content of the samples ranged from 2.54 + 0.09 to 0.79 + 0.09 g/100g. Carbohydrates levels of the two garri varieties (82.96 + 0.06-84.42 + 0.07 g/100g) was higher that observed for fufu samples (43.04-44.03g/100g). Energy content of the samples ranged from 352.32-353.74kcal in white garri and 181.02-187.95 kcal in yellow fufu. 50g available carbohydrate was obtained from 59.5g, 60.27g of raw garri and 116.17 and 113.56g of fufu. The GI and GL values obtained ranged from 80.6-96.0 and 40.3-48.0 which classified them as high GI and high GL foods. Results revealed that there was an increase in the post-prandial blood glucose after administration of the test foods at 60 minutes. At 90 minutes, all blood glucose level significantly dropped in all test foods except in pro vitamin A fufu and garri. Thus the mean blood sugar concentration was 96.0 + 18.64mmol/l, 80.6 11.28 mmol/l,   91.2 + 14.10 mmol/l, 89.4 + 12.62 mmol/l.  Therefore the introduction of pro Vitamin A biofortified cassava products to Nigeria households will assist in reducing the burden of diabetes and poor glycemic control.





TABLE OF CONTENTS

Title Page                                                                                                        i

Certification                                                                                                   ii

Dedication                                                                                                       iii

Acknowledgements                                                                                        iv

Table of Contents                                                                                           v

List of Tables                                                                                                  viii

List of Figures                                                                                                 ix

Abstract                                                                                                          x

 

CHAPTER 1

INTRODUCTION

1.1       Background of the Study                                                                    1

1.2      Statement of Problem                                                                       4

1.3       Objectives of the Study                                                                      5

1.3.1    General objective of the Study                                                           5

1.3.2      Specific objectives of the study                                                          5

1.4       Significance of the Study                                                                   6

 

CHAPTER 2

LITERATURE REVIEW

2.1       Root Crops                                                                                          8

2.2       Cassava Roots                                                                                     10

2.2.1   Nutritional value of cassava roots                                                     11

2.2.2    Antinutrient content of cassava roots                                                 14

2.2.2.1 Impact of processing on the anti-nutritional content of

            cassava roots                                                                                       16

2.2.3    Processing and utilization of cassava roots                                        17

2.3       Relevance of Fermented Indigenous Foods                                       20

2.4       Overview OF Garri                                                                             21

2.5       Overview of Fufu                                                                               24

2.6       Glycemic Index and Loads                                                                 25

2.6.1    Glycemic index and loads of some commonly consumed foods

in Nigeria                                                                                            26

2.6.2    Postprandial Blood Glucose                                                               28

2.6.3    Significance of low glycemic index and loads                                   29

 

CHAPTER 3

MATERIALS AND METHODS

3.1       Study Design                                                                                      31

3.2       Sources of Raw Materials                                                                   31

3.3       Sample Preparation                                                                            31

3.3.1    Processing of Fufu from cassava roots                                               31

3.3.2    Processing of Garri from cassava roots                                             34

3.3.3    Processing of melon soup                                                                   36

3.4       Methods of Analyses                                                                          39

3.4.1    Determination of Proximate Composition of Cassava Varieties             39

3.4.1.1 Moisture content                                                                                 39

3.4.1.2 Crude protein                                                                                      39

3.4.1.3 Fat content                                                                                          40

3.4.1.4 Ash content                                                                                         41

3.4.1.5 Crude fibre content                                                                             42

3.4.1.6 Carbohydrate content                                                                         42

3.4.1.7 Energy value                                                                                       43

3.5       Determination of Glycemic Index and Load                                      43

3.5.1    Subject characteristics                                                                        43

3.5.2    Inclusion and exclusion criteria                                                                                          44

3.5.2.1 Inclusion criteria                                                                                                                  44

3.5.2.2 Exclusion criteria                                                                                                                44

3.5.3  Ethical approval                                                                                                                     44

3.5.4  Test foods/samples                                                                                                                44

3.5.5 Study procedure                                                                                                                      45

3.5.6 Calculation of glycemic index                                                                                                46

3.5.7 Calculation of glycemic load                                                                                                  46

3.6       Data Analysis                                                                                      47

3.7       Statistical Analysis                                                                             47

 

CHAPTER 4

RESULTS AND DISCUSSION                                                      

4.1       Proximate Composition of the Samples                                             48

4.2       Classification of Glycemic Index (GI) and Glycemic Load (GL)            51

4.3       Glucose Response Area of Test Foods                                               53       

 

CHAPTER 5

CONCLUSION AND RECOMMENDATIONS

5.1       Conclusion                                                                                          55

5.2       Recommendations                                                                              55

 

 

REFERENCES                                                                                             56

APPENDIX







LIST OF TABLES

Table 3.1:        Recipe for processing of melon soup                                     37

Table 4.1:        Proximate composition of the samples                                   50

Table 4.2:        Classification of glycemic index (GI) and Glycemic

                        Load (GL)                                                                               52

 





 

LIST OF FIGURES

Figure 3.1:       Flow chart for processing fufu                                                33

Figure 3.2:      Flow chart for processing garri                                              35

Figure 3.3:      Flow chart for processing melon soup                                    38

Figure 4.1:       Graphical representation of the glucose response area for

                        test foods                                                                                 54


 



 

 

CHAPTER 1

INTRODUCTION


1.1       BACKGROUND OF THE STUDY

Glycemic index and loads are physiological measure that ranks carbohydrate-containing foods according to their blood glucose raising potential (Clar et al., 2017). Glycemic index (GI) reveals information on the glycemic response (GR) that is likely expected when an individual consumes the quantity of a food containing a fixed amount of carbohydrate (usually 50 g) (Vega-López et al., 2018). In this system, GR refers to as the increase in blood glucose concentration as a result of eating. This is expressed as the incremental area-under-the-blood-glucose-curve (iAUC) over a period of two hours (Vega-López et al., 2018). According to Vega-López et al. (2018), GI value is actually given as a relative GR; the GR of the food is expressed as a percentage of the GR of a reference food (usually a glucose solution or white bread): GI = (iAUCtest food/iAUCreference food) x 100.

Glycemic load (GL) combines the qualitative and quantitative measures of carbohydrates and it is the product of the GI and the amount of carbohydrates consumed (Clar et al., 2017). Madhu (2017) stated that GL gives a fair idea of the glucose load or burden that results from the ingestion of a carbohydrate containing meal. A high GI food can have a low GL if the portion size consumed is small and a low GI food can have a high GL if the serving size is big (Madhu, 2017). Assessment of glycemic loads of carbohydrate-rich foods is a tool of nutritional guidelines for glycemic control and to reduce the risk of diabetic complications (Abiche et al., 2019). Various factors affecting the glycemic index and loads of foods includes but not limited to carbohydrate content of the food, starch composition and properties, amylose-amylopectin ratio, gelatinization, retrogradation, dietary fibre, sugars,  insulin response, protein content, processing techniques, particle size, fat and acidity (Eleazu, 2016).

Root crops belong to the class of foods that mainly provide energy in human diet in the form of carbohydrates, aside providing some micronutrients (Ogunlakin et al., 2012) and numerous desirable health benefits like antioxidative, hypoglycemic, hypocholesterolemic, antimicrobial, and immunomodulatory activities (Chandrasekara and Joseph-Kumar, 2016). In Africa, the total per capital consumption of root crops is 181 kg/capital, with cassava (115 kg/capital) being the most important (Sanni et al., 2018). FAO (2012) revealed that in Nigeria, the per capita consumption of root crops is 90 kg/capital, whereas 226 kilocalories of cassava are consumed per person per day, and yearly per capita consumption of cassava is about 102 kilograms (kg).

Cassava (Manihot esculenta, Crantz) is an energy giving staple root crop in Nigeria (Onyenwoke and Simonyan, 2014) which has some inherent characteristics which make it attractive. Firstly, it is rich in carbohydrates especially starch and consequently has a multiplicity of end uses (Ogunyinka and Oguntuase, 2020). Secondly, it is available all year round, making it preferable to other seasonal crops such as grains, peas and beans (Ogunyinka and Oguntuase, 2020). Cassava is a food security crop with the capacity of addressing some health-related problems (Onyenwoke and Simonyan, 2014). Cassava possesses 1.65 to 2.32 % crude fibre (Eleazu and Eleazu, 2012), and essential micronutrients like vitamins A, B and C, iron, zinc (Adenle et al., 2012), sodium, magnesium and calcium (Omosuli, 2018). Ukenye et al. (2013), reported that white cassava variety provides 2.07 to 7.92 % crude protein, 0.02 to 3.66 % lipids, 0.62 to 4.92 % crude fibre and 0.51 to 2.29 µg/g carotenoids while the yellow-fleshed variety possess 1.20 to 3.88 µg/g carotenoids (Aniedu and Omodamiro, 2012).

Cassava can be transformed into various food forms. Food products made from cassava roots are classified into primary and secondary products. Garri, fufu, starch, chips, flour, pellets are classified under primary products due to the fact that they are obtained directly from cassava roots (Onyenwoke and Simonyan, 2014). Further processing of these primary products results to obtaining of secondary products which includes but not limited to glucose syrup, modified cassava starch and noodle (Onyenwoke and Simonyan, 2014). Cassava can also be processed into chips (Kuda et al., 2017), lafun (Anyaiwe et al., 2018) and complementary food (Wireko-Manu et al., 2016). This study therefore evaluate the glycemic index and load of commonly consumed cassava varieties.


1.2       STATEMENT OF PROBLEM

Diabetes mellitus (DM) has shown a tremendous increase in prevalence with a demographic transition in its epidemiology in recent years. The latest prevalence figure published by the International Diabetes Federation (IDF) is 425 million persons living with DM worldwide, with nearly 50 % of these undiagnosed (International Diabetes Federation, 2017). In Nigeria, the prevalence of DM among adults aged 20 to 69 years is reported to be 1.7 % (International Diabetes Federation, 2017).

In Nigeria, 226 kilocalories of cassava are consumed per person per day, and yearly per capita consumption of cassava is about 102 kilograms (FAO, 2012). Cassava is a major staple that is a major staple that cannot be overlooked, hence the solution is to know how much glucose raising potential of the various cassava varieties available in our locality. 

Processing of food aids in improving the digestibility and palatability of foods. However, the methods involved in the processing of foods vary widely, and the nutritive value of food may be diminished depending on the methods employed. Cassava being basically processed using various unit operations such as steeping, dewatering and sieving results to loss of valuable nutrients such as carbohydrate and fibre (Onyenwoke and Simonyan, 2014). Besides, most cassava consumers are not aware of the proximate composition of this valuable crop.

There are diverse varieties of indigenous cassava staples available. They includes but not limited to TME 419, TMS 98/0581, TMS 98/0510, TMS 98/0505, TMS 97/2205 and NR8082. Glycemic index and load of most staple, commercial and/or imported food crops are well documented (Mattei et al., 2015). However, the same cannot be said about these staple indigenous cassava varieties. With the increased consumption of some of these cassava varieties, comes a need to know which appears to be healthy choice in terms of blood glucose raising potentials.

There is a rising burden from the complications of DM alongside the ever-increasing prevalence of the disease (Uloko et al., 2012). DM is now seen as a risk factor for amputations, cerebrovascular disease, heart-related problems, and kidney disease in populations that were not previously known for these challenging health problems (International Diabetes Federation, 2017).


1.3       OBJECTIVES OF THE STUDY

1.3.1    General objective of the study

The general objective of this study was to determine the glycemic index and load of the common cassava varieties

1.3.3      Specific objectives of the study were to:

i)               obtain commonly consumed cassava varieties consumed in South East, Nigeria

ii)             determine the proximate composition and energy density of the sample

iii)           produce flours from these cassava varieties in traditional edible forms with corresponding soups.

iv)            evaluate the glycemic index and load of commonly consumed cassava varieties.


1.4       SIGNIFICANCE OF THE STUDY

Assessing the glycemic index and loads of commonly consumed cassava varieties is a cost-effective means of promoting research on the crops and as well enhancing their consumption. The increased cassava consumption will be of economic benefit farmers/agriculturists considering that the demand of cassava varieties will increase.

Findings of this research will provide information which would help individuals suffering from health problems such as diabetes mellitus on the particular cassava variety that will be more beneficial for their use in diverse food formulations. This will help to keep their sugar level under control.

Data obtained in this study will be of immense importance to healthy individuals and also provide useful guidance for nutritionists and dietitians involved in meal planning for diabetic patients. Besides, public health workers and health care professionals will find outcome of this research highly valuable. More so, findings of this study may be incorporated in Nigeria’s food composition table so that provision of dietary guidance using such food composition database as a reference material could be more effective.

This work will also guide the government and policy makers in formulating enabling laws to guide consumption of cassava in Nigeria, most especially in monitoring and ensuring that cassava varieties with low glycemic index and loads and those that possess high glycemic index and loads are used in formulation of foods for individuals they are suited for.

 

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