International Journal of Diabetes Research
p-ISSN: 2163-1638 e-ISSN: 2163-1646
2019; 8(3): 48-59
doi:10.5923/j.diabetes.20190803.02

Winnie U. Dozie1, Chrysogonus C. Nwaigwe2, Chisomuaga C. Okoro1, Ikechukwu N. S. Dozie1
1Department of Public Health, Federal University of Technology Owerri, Imo State, Nigeria
2Department of Statistics, Federal University of Technology Owerri, Imo State, Nigeria
Correspondence to: Chrysogonus C. Nwaigwe, Department of Statistics, Federal University of Technology Owerri, Imo State, Nigeria.
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Copyright © 2019 The Author(s). Published by Scientific & Academic Publishing.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/

Many recent studies have established that dietary pattern of a group of persons can be studied in relation to some chronic diseases. Undoubtedly, many chronic diseases can be traced to the dietary pattern of their victims. The study of dietary pattern in relation to a specific disease emerged recently and has not been fully harnessed especially in Africa where variety of native foods are combined and consumed across cultural and ethnic groups. Research on dietary pattern in relation to a specific disease may be unique according to culture and region. Until recently, no research work on dietary pattern in relation to diabetes was seen to have been carried out in Owerri-West Area of Imo State, Nigeria. The present research is an attempt to initiate a study of dietary pattern in Owerri-West and in particular, examine its influence on diabetes among women. The objective of the present study is to examine the dietary patterns and factors that influence the dietary patterns of women resident in Owerri-West Area of Imo State, Nigeria. A cross-sectional design was employed in the study. The study population consisted of adult females in the communities in Owerri West L.G.A who are within the age range of 18-55 years. A sample size of 382 was taken for the study. A semi structured self-administered questionnaire with diabetic test and anthropometric measurements were used for the study. Descriptive and inferential statistical tools were used to analyse the data obtained. Results obtained show that age, education, occupation, marital status and religion had significant influence on the dietary patterns of the participants and the prevalence of diabetes. The results also show that carbohydrate, protein and lipid rich foods alongside soft drinks and beer were in high consumption among the participants with carbohydrate as the highest.
Keywords: Dietary pattern overweight, Obesity, Diabetes, Women
Cite this paper: Winnie U. Dozie, Chrysogonus C. Nwaigwe, Chisomuaga C. Okoro, Ikechukwu N. S. Dozie, The Influence of Dietary Patterns on Diabetes among Women in Owerri West Local Government Area of Imo State, Nigeria, International Journal of Diabetes Research, Vol. 8 No. 3, 2019, pp. 48-59. doi: 10.5923/j.diabetes.20190803.02.
Where N is the study population (8700), n is the sample size and e is the acceptable sample error (Yamane, 1967). In this study, e was taken as 0.05. Hence,
Systematic sampling technique was employed to select participants from each of the communities for the study with a sampling interval of 23. Participants were drawn from each of the five communities Eziobodo, Emeabiam, Okolochi, Ihiagwa and Obinze. These communities were chosen from the study population because the participants were more accessible to the researcher. Participants from the communities were numbered according to the houses in which they live. After each interval of 23 houses in each of the communities, a participant is randomly chosen from the 23rd house until the desired sample size was achieved.
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This corresponds with the findings of Shu et al. (2015). In terms of the occupation of the participants, traders had the greatest number of participants with diabetes (50%) followed by farmers (34%) while women whose average income is under ₦49,000.00 were observed to be more diabetic. Majority of the women used for the study were Christians.Figure 1 shows the diabetic status among women in Owerri West L.G.A. One hundred and thirty (34%) were diabetic while 252 (66%) were non- diabetic.![]() | Figure 1. Diabetic Status of Women in Owerri West L.G.A |
![]() | Figure 2. African salad consumption by the respondents |
![]() | Table 2. Carbohydrate Dietary Pattern of Women in Owerri West L.G.A |
![]() | Table 3. Protein Dietary Pattern of Women in Owerri West L.G.A |
![]() | Table 4. Lipid Dietary Pattern of Women in Owerri West L.G.A |
![]() | Table 5. Vitamin/ Mineral Dietary Pattern of Women in Owerri West L.G.A |
![]() | Table 6. Liquid/ Fluid Dietary Pattern of Women in Owerri West L.G.A |
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![]() | Figure 3. Intake of diet or sugar- free soft-drink |
![]() | Figure 4. Body Mass Index Status of Women in Owerri West L.G.A |
= 249.500.,
). The result also shows that majority of women with primary education, 71(43.8%) were diabetic while 91(56.2%). Women with secondary education, 45(29.2%) were diabetic while 109(70.8%) were non- diabetic. Women with tertiary education, 14(21.9%) were diabetic while 50(78.1%) were non- diabetic. Also, all women with no formal education, 2(100%) were non-diabetic. The result as presented shows that there is a significant statistical association between level of education and the prevalence of diabetes among women in Owerri West L.G.A. (
= 13.756,
).Greater proportions of the women who were farmers, 61(57%) were diabetic while 46(43%) were non-diabetic. Women who were traders, 49(50%), were diabetic while 49(50%) were non-diabetic. Women who were civil servants, 17(14.9%) were diabetic while 97(85.1%) were non-diabetic. Women who were housewives, 3(7.3%) were diabetic while 38(92.7%) were non-diabetic. Also, all women who were students, 22(100%) were non-diabetic. In addition, the result presented also shows that there is a significant statistical association between occupation and the prevalence of diabetes among women in Owerri West L.G.A. (
= 79.240,
).The result also shows that majority of married women, 130(36.3%) were diabetic while 228(63.7%) were non-diabetic. All single women, 22(100%) were non-diabetic. Also all separated/ divorced women, 2(100%) were non-diabetic. In addition, the result presented also shows that there is a significant statistical association between marital status and the prevalence of diabetes among women in Owerri West L.G.A. (
).Majority of women who earn an average monthly income of ₦18,000- ₦49,000, 70(39.3%) were diabetic while 108(60.7%), were non-diabetic. Women who earn an average monthly income of less than ₦18,000, 58(30.4%) were diabetic while 133(69.6%), were non-diabetic. Also, women who earn an average monthly income of ₦50,000- ₦99,000, 2(15.4%) were diabetic while 11(84.6%), were non-diabetic. However, the result shows no significant statistical association between average monthly income and the prevalence of diabetes among women in Owerri West L.G.A.
Also, the result shows that larger number of women who were Christians, 113(31.4%), were diabetic while 247(68.6%) were non-diabetic. All women who were Muslims, 3(100%) were non-diabetic. Women who practice other religion, 17(89.5%) were diabetic while 2(10.5%) were non-diabetic. Therefore, the result shows a significant statistical association between religion and the prevalence of diabetes among women in Owerri West L.G.A. 
Therefore, except from the average monthly income; age, level of education, occupation, marital status and religion have influence on the prevalence of diabetes among women in Owerri West L.G.A. as is presented in Table 8 below. It was observed that there is a significant statistical association between marital status and the prevalence of diabetes among women in Owerri West L.G.A; this is similar to the finding of (Ke et al., 2018).
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Therefore, this shows that there is a significant statistical association between BMI status and the prevalence of diabetes among women in Owerri West L.G.A. This finding corresponds with the previous finding of (Ke et al., 2018) in their work on the Association between dietary protein intake and type 2 diabetes varies by dietary Pattern in China which stated that the BMI status of their respondents had an influence on the prevalence of diabetes.
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