Background: The prevalence of non-communicable diseases in particular diabetes is rising worldwide especially in low income countries. Information on the risk factors at the community level is of paramount importance to enable strategic preventive programs. This study is undertaken to investigate the prevalence of Type 2 diabetes and Impaired Fasting Glucose and associated risk factors among Maasai communities of Simanjiro District, Tanzania. Methods: This is a cross-sectional population based study. Information on the risk factors is obtained using the World Health Organization STEPWISE approach. Target group are Maasai adults aged 25 years and above living in Simanjiro District. Descriptive statistics is used to explore prevalence and risk factors of Type 2 diabetes and impaired fasting glucose. Type 2 diabetes is defined as fasting blood glucose ≥ 7.0 mmol/L and/or being on diabetic medication. Impaired Fasting Glucose is defined as fasting blood glucose between 5.6 and 6.9 mmol/L. Pearson correlation and regression are used to investigate the association of risk factors with fasting blood glucose. Results: Prevalence of Type 2 diabetes is at 0.9% (95%CI; [0.3, 2.1]) and impaired fasting tolerance at 2.4% (95%CI; [1.3, 4.1]). Fasting blood glucose is positively (
p
< 0.05) associated with body mass index, weight, waist circumference, systolic blood pressure, diastolic blood pressure, heart rate, main work but negatively associated with number of fruit intake days per week. Conclusion: The prevalence of Type 2 diabetes and Impaired Fasting Glucose is low in this particular sub-population which presents an opportunity for prevention. For successful prevention of diabetes among Maasai in Simanjiro District, programs should be tailored on reduction of obesity, blood pressure, and encouragement of consumption of fruits.
Type 2 Diabetes Maasai Rural Tanzania WHO STEPWISE Impaired Fasting Glucose1. Introduction
Approximately 285 million people, 6.4% between 20 - 79 years were found to be diabetic in 2010 worldwide [1] . The number is estimated to increase to 438 million (7.7% of the adult population) by 2030 [1] . Diabetes is a chronic, metabolic disease which is evidenced by elevated blood glucose levels. Type 2 diabetes (T2D) is the most common and rapidly growing form of diabetes, which usually emerges during adulthood and is often associated with lifestyle issues. According to the International Diabetes Federation [1] , T2D is either due to insufficient insulin or insulin resistance which lead to excess glucose in the blood which potentially leads to multi-system often life threatening complications including cardiovascular and renal diseases, retinopathies, and neuropathies. Risk factors for T2D are often lifestyle related, such as obesity, inactivity, and diet; antithetically leading to delayed recognition of the disease, while contributing to the potential of lifestyle change as a means to manage it.
The current national prevalence of diabetes in Tanzania is at 7.95% [2] . The majority (90%) of the people with diabetes in sub-Saharan Africa are undiagnosed [2] which has jettisoned this condition to be a health priority not only in this region, but globally [3] . Diabetes threatens the economic security and physical health of Tanzania [3] as it leads to complications such as atherosclerosis, renal failure, diabetic neuropathy (nerve dysfunction), and cerebrovascular disease [4] . These conditions significantly contribute to disability, reduced life expectancy and high health costs [5] .
Non modifiable risk factors of T2D identified in sub-Saharan Africa are age, ethnicity, and gender, whereas the modifiable factors include physical activity, dietary intake, smoking, alcohol consumption and weight [6] . The cultural, social and economic conditions that produce these risk factors vary across different populations [7] . The Maasai, a pastoral ethnic group living in Northeastern Tanzania mainly feed on animal products such as meat, milk and blood [8] . A recent study reports a higher prevalence of T2D among the Maasai living in peri-urban (22.9%) than in the rural areas (9.9%) [9] . This finding is attributed, in part, to the adaptation of the rural Maasai shifting from traditional lifestyles in the Ngorongoro Conservation Area (NCA) as they move for employment and quality of life opportunities.
The current study is undertaken to investigate the risk factors of T2D and their association with Impaired Fasting Glucose (IFG) or T2D among rural Maasai communities in Simanjiro District, Tanzania.
2. Methods2.1. Study Setting and Population
This was a cross-sectional population based study carried out in Simanjiro District. Simanjiro district is located in northern Tanzania, Manyara region. It is bordered to the north by Arusha region. Simanjiro District is mainly inhabited by the Maasai who are predominately livestock keepers. This group is unique in that they have lived in a highly traditional manner, including dietary practices, pastoral activities, and culturally informed lifestyles. The Maasai are a tribe which has increasingly been challenged for survival due to land disputes, environmental challenges, animal husbandry practices, and urbanization trends. As a result, they are only now beginning to experience lifestyle changes to more sedentary and Westernized ways which place them at the cusp of facing health challenges including non-communicable diseases.
The current study was conducted from March to July 2015 and the sample was drawn from five villages in Simanjiro; Olerumo, Irukujit, Mukumbi, Narosoito and Madukani. All Maasai adults aged 25 years and above living in the study areas were invited to participate. Non-consenting and individuals who were bedridden were excluded from this study. Multistage stratified cluster sampling was used, with a cluster being a household. The households were selected randomly. Using the Kish method individuals to be enrolled in the study was selected. The standard formula for epidemiological studies n = [Z2 * p * (1 − p)]/d2 was used to calculate sample size; where n is the number of the sample, d is margin of error, and p is the planned proportion estimate population [10] . The level of confidence and margin of error used were 95% and 0.05, respectively. An analytic study sample of 561 individuals was utilized.
2.2. Ethical Considerations
This study was approved by the National Institute of Medical Research of Tanzania. Permission to conduct the study was sought from the respective local authorities such as district leaders, village leaders, and boma (clan) heads where the study was conducted. The goals and benefits of the study were explained to the participants prior to commencement of the study. An oral informed consent was obtained from each participant and information obtained was kept confidential. All participants received personal feedback of their physical and biochemical measurements and were referred to Simanjiro Health Center where necessary.
2.3. Definitions
Type 2 diabetes was defined as fasting capillary blood glucose ≥7.0 mmol/L and/or on diabetes medication (insulin and/or anti-diabetic drugs) while IFG was considered when blood glucose was found between 5.6 to 6.9 mmol/L [11] . Hypertension was defined as systolic blood pressure (SBP) ≥140 mm Hg or diastolic blood pressure (DBP) is ≥90 mmHg, or both, on repeated examination [12] and or on hypertensive medication.
2.4. Data Collection and Management
Face to face interviews were conducted by trained interviewers including a health practitioner. Information obtained were anthropometric measurements, blood pressure, blood samples for biochemical analysis and self- reported behavioral and lifestyle factors using standardized procedures. All the instruments used were calibrated and adherence of trained interviewers to standardized procedures was monitored.
2.4.1. Determination of Blood Sugar
Fasting blood glucose was tested after an overnight fast of at least 8 hours using Gluco-plusTM meter. The middle finger without a ring was cleaned with an alcohol cotton swab and pricked with a lancet. Blood was collected on a glucose strip, inserted into the meter and watched as the results displayed immediately. The meter was calibrated using the control solution once every week. The results were verified by clinical technicians.
2.4.2. Qualitative Data
The WHO STEPWISE instrument, developed and implemented by the World Health Organization, was used to identify T2D risk factors [13] . Since 2008, the WHO STEPWISE approach has targeted launching surveillance of chronic diseases and their risk factors in low and middle income countries. This program is aimed at helping these countries in their early surveillance efforts as they build and strengthen their capacities related to non- communicable disease surveillance [13] . The standardized questionnaire was administered in Swahili (national language of Tanzania) by trained interviewers. However, Kimaasai was used where Swahili was unknown. Questions on smoking habits, alcohol intake, physical activity, diet, history of diabetes (if already told by a doctor to be diabetic and/or on diabetes treatment) and demographic data were asked. The instrument was pre-tested and revised prior to commencement of the study.
2.4.3. Determination of Blood Pressure
Blood pressure was measured using standardized protocol with the respondent in a seated position and after a 10 minute rest. The automatic calibrated digital blood pressure measurement system (Omron™ Digital HEM-7000, Tokyo, Japan) was used. An average of two readings taken 1 minute apart was used for analysis.
2.4.4. Anthropometric Measurements
Weight, height, waist circumference, and hip circumference were measured using standard methods. Standing height was measured using a stadiometer at a 0.5 cm precision. Weight was measured using an electronic scale at 0.1 kg precision with the participant in light clothing. The hip region was the widest part of the buttocks, lower to the iliac crest [14] . Hip circumference was measured to the nearest 0.1 cm. Waist circumference (WC) (to the nearest 0.1 cm) was measured using a stretch-resistant tape measure between the lower rib margin and the iliac crest after several consecutive natural breaths [15] .
Obesity was determined using body mass index (BMI), WC and waist to hip ratio (WHR). Body mass index was calculated as weight (kg) divided by squared height (m2). A participant was considered normal with BMI between 18.5 kg/m2 and 25 kg/m2, overweight between 25 kg/m2 and 30 kg/m2, and obese with BMI ≥ 30 kg/m2 [16] . Men and women with waist circumference ≥94 cm and ≥80 cm respectively were to be at risk of central obesity according to the International Diabetes Federation guidelines for metabolic syndrome among sub-Saharan Africans [17] . Waist to hip ratio was analyzed by taking waist/hip measurement. Presence of abdominal obesity was considered when WHR > 0.90 for men and >0.85 for women.
2.5. Data Analysis
The data was analyzed using Graph Pad Prism™ Software Version 6 (Graph Pad™ Software Inc., USA). Descriptive statistics were used to explore prevalence and risk factors of T2D and IFG. Means and standard deviations (SD) were used for continuous variables. Pearson’s correlation and linear regression analysis were carried out to determine association of select predictors with diabetes. Predictors included gender, BMI, weight, height, age, WC, smoking, dietary intake (fruits and vegetables) and physical activity. A p-value < 0.05 was interpreted as statistically significant result.
3. Results3.1. Demographic Characteristics
A total of 561 respondents were involved in this study of whom 68.8% were women and 31.2% men. More respondents were in the age group 25 - 34 years (46.9%), whereas 54 - 64 year olds were the least represented (16.7%). The complete demographic profile is reflected in Table 1, which shows that participants were generally younger, married, minimally educated individuals.
3.2. Prevalence of T2D and IGT
Overall, the prevalence of T2D was found to be 0.9% (1.1% men and 0.8% women) and IFG at 2.5% (2.9% men and 2.3% women) as shown in Figure 1. There was no significant difference (p = 0.08) the prevalence of diabetes between men and women and across the age groups (Figure 2). Participants aged 65+ had the highest IFG and T2D prevalence at 7.1% and 2.3% respectively.
3.3. Type 2 Diabetes Risk Factors
To investigate the risk factors of T2D in Simanjiro District, the association of different risk factors with fasting blood glucose (FBG) was computed using correlation and linear regression. Fasting blood glucose was positively (p < 0.05) associated with BMI, weight, WC, SBP, DBP, heart rate, and main work. The number of fruit intake days per week was found to be negatively associated with FBG.
3.3.1. Body Mass Index
A significant proportion (61.3%) of the Maasai was of normal weight, with an additional 23.1% being overweight (Figure 3). There was a significant difference in the BMIs of participants in the different age groups (p = 0.0354) (Figure 4). The 65+ had the highest BMI in men (25.0 ± 5.13) and women (25 ± 5.7). The 35 - 44 age
Prevalence of Type 2 diabetes and impaired fasting glucose among Maasai in Simanjiro District
Description of Maasai participants in Simanjiro District
Socio demographic characteristics
IFG/T2D
NON IFG/T2D
TOTAL
N
%
n
%
n
%
Gender
Men
7
36.8
168
31
175
31.2
Women
12
63.2
374
69
386
68.8
Age group (years)
25 - 34
10
52.6
253
46.7
263
46.9
35 - 44
3
15.8
147
27.1
150
26.7
45 - 54
2
10.5
61
11.3
63
11.2
55 - 64
0
0.0
42
7.7
42
7.5
65+
4
21.1
39
7.2
43
7.7
Marital status
Currently married
15
78.9
492
90.8
507
90.4
Never married
0
0
21
3.9
21
3.7
Widowed
3
15.8
26
4.8
29
5.2
Separated
1
5.3
1
0.2
2
0.4
Cohabiting
0
0
2
0.4
2
0.4
Education level
No formal schooling
14
73.7
315
58.1
329
58.6
Primary school completed
1
5.3
150
27.7
151
26.9
1
5.2
18
3.3
19
3.4
Secondary school completed
1
5.2
32
5.9
33
5.9
2
10.5
22
4.1
24
4.3
College completed
0
0.0
5
0.9
5
0.9
Ever Smoked
Yes
15
78.9
68
12.5
83
14.8
No
4
21.1
474
87.5
478
85.2
Ever consumed alcohol
Yes
2
10.5
45
8.3
47
8.4
No
17
89.5
497
91.7
514
91.6
Physical activity
Inactive (WHO < 600 METs)
0
0
22
40.6
22
3.9
Active (WHO ≥ 600 METs)
19
100
520
95.9
539
96.1
Prevalence of type 2 diabetes and impaired fasting glucose of Maasai across age groups in Simanjiro District
Body mass index of Maasai participants in Simanjiro District
Body mass index of the Maasai of different age groups in Simanjiro District
group had the lowest BMI in men (22.86 ± 3.98) and the 25 - 34 group was the lowest in women (23.0 ± 4.23). There was no significant difference (p = 0.19) in the BMI of men and women (Table 2).
3.3.2. Waist Circumference (WC)
Nearly half of the women (42.5%) were at risk of central obesity as compared to 13.7% of the men. There was no significant difference (p = 0.69) in the WC of men and women and across age groups (Figure 5). Men had a mean WC of 79.3 ± 12.0 similarly, women recorded a mean WC of 79.2 ± 12.2.
Waist circumference of Maasai men and women in Simanjiro District
Pearson’s correlation and regression analysis for determinants of fasting blood glucose
Risk factor
Pearson’s correlation
Linear regression
Correlation coefficient (R)
P
R2
Linear equation
Weight (kg)
0.1528
0.0003***
0.0234
Y = 3.452 * X + 46.89
BMI (kg/m2)
0.1677
<0.0001****
0.0281
Y = 1.292 * X + 17.64
Waist circumference (cm)
0.1093
0.0115*
0.0120
Y = 2.514 * X + 68.03
Systolic Blood pressure
0.1340
0.0015**
0.0180
Y = 4.506 * X + 100.9
Diastolic blood pressure
0.1391
0.0010***
0.0194
Y = 2.858 * X + 67.06
Heart rate
0.1065
0.0116*
0.0113
Y = 2.437 * X + 66.03
No of fruit days
−0.1074
0.0109*
0.0115
Y = −0.3245 * X + 3.291
Main Work
0.0893
0.0346*
0.0080
Y = 0.3886 * X + 2.783
BG:blood glucose; BMI:body mass index.
3.3.3. Blood Pressure
3.7% of the participants had a history of raised blood pressure. There was no significant difference (p = 0.29) in the SBP of men and women and across the age groups (Figure 6). Men had a SBP of 123.85 ± 18.35 and women 120.15 ±17.96.
3.3.4. Heart Rate
There was a significant difference (p = 0.0036) in the heart rate of men and women (Figure 7). Women had a higher heart rate (77.99 ± 12.7) than men (74.34 ± 11.7). There was no significant difference (p = 0.26) in the heart rate cross the age groups.
3.3.5. Fruit Consumption
Generally, the mean frequency of fruit consumption was 1.8 ± 1.6 times per week. There was a significant difference in the fruit consumption of men and women (p = 0.0012). Women had a tended to consume more fruits (2 ± 0.08) than men (1.5 ± 0.12) per week.
4. Discussion
Type 2 diabetes has become a health priority in sub-Saharan Africa and continues to be a substantial public health problem worldwide [3] . Diabetes may result to disability, reduced life expectancy and high health costs [18] . The Maasai are a Nilotic ethnic group of nomads having a unique lifestyle and culture which may make them susceptible to T2D. They mainly consume animal products in particular meat, blood and milk [8] . A recent study compared prevalence of T2D among Maasai in rural (NCA)) and urban (Arusha City) and found marked
Systolic blood pressure across the age groups of Ma- asai in Simanjiro
Heart Rate of Maasai participants in Simanjiro District across the age groups
differences between the two groups [9] . However, it was argued that the results obtained may not be representative of other rural Maasai living elsewhere. This is because the Maasai in NCA have high food shortages, cultivate and have reduced number of livestock due to the restrictive living regulations of NCA hence deviating from their traditional lifestyle. This study therefore focused on rural pastoral Maasai ethnic community in Simanjiro District in Tanzania.
In this current study, the prevalence of T2D and IFG among the rural Maasai in Simanjiro District were at 0.9% (1.1% men and 0.8% women) and 2.5% (2.9% men and 2.3% women) respectively. The prevalence of T2D observed was much lower (0.9%) than that reported for rural Maasai in NCA (9.9%) [9] . This pattern may be due to the diversification of the diet in the rural Maasai in NCA as compared to the Maasai in Simanjiro District. Compared to other rural settings in Tanzania, our finding was similar to the low diabetic prevalence (1.5%) and IGT (1.2%) in Shari [19] but different from rural communities in Arumeru (T2D 9%, IFG 7.1%) [20] . The Maasai in the urban were reported to have a high T2D prevalence of 22.9% [9] . Other studies in urban settings also reported a high T2D prevalence of 11.9% [21] in Mwanza city, 9.8% among Hindu communities in Dar es Salaam [22] and 5.3% in Ilala [20] . This may be due to lifestyle changes due to urbanization.
Fasting blood glucose was positively associated with obesity indicators (BMI, weight, and WC), SBP, DBP, heart rate, and main work. This is consistent with findings in other studies in Tanzania [9] [22] . Conversely, the number of fruit intake days per week was negatively associated with T2D.
Overweight and obesity are a major risk factor of chronic diseases such as T2D. Fasting blood glucose was positively associated with BMI and WC which are measures of overweight and obesity. This was similar to the rural and urban Maasai in NCA and Arusha city respectively [9] . Overweight and obesity are associated with low grade inflammation characterized by increased circulating pro-inflammatory cytokines and fatty acids. These interfere with normal insulin function inducing insulin resistance and eventually β cell dysfunction [23] . Most participants were found to be of normal weight which may be attributable to the high physical activity levels of the Maasai in Simanjiro District.
Diabetes and hypertension have been shown to coexist [24] . Hypertension accelerates diabetic complications. Diabetes damages and hardens the arteries which may contribute to high blood pressure. Elevation of insulin levels, insulin resistance, and metabolic syndrome adds oxidative stress leading to endothelial dysfunction a key component of hypertension [25] . Fasting blood glucose was positively associated with hypertensive SBP and DBP readings. This finding was consistent with the Maasai from Arusha city but not from NCA [9] .
Greater consumption of whole fruits has been associated with reduced risk of T2D [26] . Fruit consumption was negatively associated with FBG among the Maasai. Fruit intake reduces the risk of weight gain which is a major risk factor for diabetes [27] .
5. Conclusion
The present study investigated the risk factors of T2D among the rural Maasai community in Simanjiro District. Results demonstrated the prevalence of T2D and IFC among the rural Maasai to be low. This finding showed an opportunity for prevention. For successful prevention of diabetes among Maasai, programs should be tailored towards reduction of obesity, blood pressure, and promotion of consumption of fruits.
Acknowledgements
We acknowledge the African Capacity Building Foundation for funding this research.
Competing Interest
Authors have declared that no competing interests exist.
Cite this paper
Juliana Mandha,Buza Joram,Neema Kassimu,Pammla Petrucka, (2015) Risk Factors of Type 2 Diabetes among Maasai Pastoral Communities in Simanjiro, Tanzania. Open Access Library Journal,02,1-11. doi: 10.4236/oalib.1102079
Abbreviations
BMI: Body Mass Index
DBP: Diastolic Blood Pressure
FBG: Fasting Blood Glucose
IFG: Impaired Fasting Glucose
NCA: Ngorongoro Conservation Area
SBP: Systolic Blood Pressure
SD: Standard Deviation
T2D: Type 2 Diabetes
WC: Waist Circumference
WHO: World Health Organization
WHR: Waist to Hip Ratio
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