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Metabolic syndrome distributions in dietary diversity score groups and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia: a community based cross- sectional study

BACKGROUND: Dietary diversity score has long been recognized as a key component of diets quality balances for healthy life status. However, diets with more variety of food items might increase calorie intake and body weight, which, in turn leads to central obesity (waist circumference).Therefore, th...

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Autores principales: Zawdie, Belay, Tesfaye, Temamen, Moges, Solomon Berhanu, Tesfaye, Yonas, Kebede, Ayantu, Tadesse, Mulualem, Gudina, Esayas Kebede, Dadi, Lelisa Sena, Tamiru, Dessalegn, Lemma, Tefera Belachew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773519/
https://www.ncbi.nlm.nih.gov/pubmed/36544146
http://dx.doi.org/10.1186/s12902-022-01238-6
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author Zawdie, Belay
Tesfaye, Temamen
Moges, Solomon Berhanu
Tesfaye, Yonas
Kebede, Ayantu
Tadesse, Mulualem
Gudina, Esayas Kebede
Dadi, Lelisa Sena
Tamiru, Dessalegn
Lemma, Tefera Belachew
author_facet Zawdie, Belay
Tesfaye, Temamen
Moges, Solomon Berhanu
Tesfaye, Yonas
Kebede, Ayantu
Tadesse, Mulualem
Gudina, Esayas Kebede
Dadi, Lelisa Sena
Tamiru, Dessalegn
Lemma, Tefera Belachew
author_sort Zawdie, Belay
collection PubMed
description BACKGROUND: Dietary diversity score has long been recognized as a key component of diets quality balances for healthy life status. However, diets with more variety of food items might increase calorie intake and body weight, which, in turn leads to central obesity (waist circumference).Therefore, this study aims to determine the prevalence of metabolic syndrome among dietary diversity score groups, and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia. METHODS: A total of 915 adults aged ≥ 18 years were randomly recruited in this cross-sectional study.The study was undertaken from June 17, 2019, up to July 27, 2019. To this end, the collected data were entered to Epi Data 3.1 and analysed using and SPSS 25 version. What’s more, a multivariable logistic regression was used to assess associated factors of the unrecognized metabolic syndrome; adjusted odds ratio (AOR) with its corresponding 95% CI, at P-value ≤ 0.05. RESULTS: The occurrence of metabolic syndrome was 14.4%, and it is more prevalent in females, 11.15% than males, and 3.25%. The most prevalent components of the metabolic syndrome were low level of high-density lipoprotein, elevated level of triacylglycerol, and waist circumferences. Even though metabolic syndrome is not significantly associated with any of the dietary diversity score groups, its prevalence distribution varies among the groups (6.6% in middle, 5.8% in high and 1.9% in low dietary diversity groups). With potential confounders adjusted, by 75% female was significantly associated with the occurrence of metabolic syndrome than male (102 vs. 29, AOR = 0.25 at 95%CI: 0.15–0.40, P = 0.001). Whereas, age ≥ 35 years old (104 vs. 27, AOR = 2.91 at 95%CI:1.78–4.86,P = 0.001), large family size > 5 (65 vs. 10,AOR = 2.43 95% CI: 1.10–5.36, P = 0.03), overweight and obesity (121 vs. 10, AOR = 6.97, 95% CI: 4.50 –10.83, P = 0.005), elevated total cholesterol (103 vs. 28,AOR = 2.46, 95% CI: 1.47–4.11, P = 0.001), and consuming ( spices, condemns and beverages) ≥ 4 days per week (79 vs. 52, AOR = 0.52, 95% CI:0.33 –0.82, P = 0.005) were positively associated with the prevalence of metabolic syndrome as compared to their counterparts. CONCLUSION: Unrecognized metabolic syndrome was relatively high in the study community. The prevalence of metabolic syndrome varied among dietary diversity groups. But any of the dietary diversity scoring categories was not significantly associated with the occurrence of metabolic syndrome. Thus, awareness needs to be made to practice healthy diet and regular physical activity to maintaining normal body weight. Moreover, early screening of metabolic syndrome should be promoted.
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spelling pubmed-97735192022-12-23 Metabolic syndrome distributions in dietary diversity score groups and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia: a community based cross- sectional study Zawdie, Belay Tesfaye, Temamen Moges, Solomon Berhanu Tesfaye, Yonas Kebede, Ayantu Tadesse, Mulualem Gudina, Esayas Kebede Dadi, Lelisa Sena Tamiru, Dessalegn Lemma, Tefera Belachew BMC Endocr Disord Research BACKGROUND: Dietary diversity score has long been recognized as a key component of diets quality balances for healthy life status. However, diets with more variety of food items might increase calorie intake and body weight, which, in turn leads to central obesity (waist circumference).Therefore, this study aims to determine the prevalence of metabolic syndrome among dietary diversity score groups, and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia. METHODS: A total of 915 adults aged ≥ 18 years were randomly recruited in this cross-sectional study.The study was undertaken from June 17, 2019, up to July 27, 2019. To this end, the collected data were entered to Epi Data 3.1 and analysed using and SPSS 25 version. What’s more, a multivariable logistic regression was used to assess associated factors of the unrecognized metabolic syndrome; adjusted odds ratio (AOR) with its corresponding 95% CI, at P-value ≤ 0.05. RESULTS: The occurrence of metabolic syndrome was 14.4%, and it is more prevalent in females, 11.15% than males, and 3.25%. The most prevalent components of the metabolic syndrome were low level of high-density lipoprotein, elevated level of triacylglycerol, and waist circumferences. Even though metabolic syndrome is not significantly associated with any of the dietary diversity score groups, its prevalence distribution varies among the groups (6.6% in middle, 5.8% in high and 1.9% in low dietary diversity groups). With potential confounders adjusted, by 75% female was significantly associated with the occurrence of metabolic syndrome than male (102 vs. 29, AOR = 0.25 at 95%CI: 0.15–0.40, P = 0.001). Whereas, age ≥ 35 years old (104 vs. 27, AOR = 2.91 at 95%CI:1.78–4.86,P = 0.001), large family size > 5 (65 vs. 10,AOR = 2.43 95% CI: 1.10–5.36, P = 0.03), overweight and obesity (121 vs. 10, AOR = 6.97, 95% CI: 4.50 –10.83, P = 0.005), elevated total cholesterol (103 vs. 28,AOR = 2.46, 95% CI: 1.47–4.11, P = 0.001), and consuming ( spices, condemns and beverages) ≥ 4 days per week (79 vs. 52, AOR = 0.52, 95% CI:0.33 –0.82, P = 0.005) were positively associated with the prevalence of metabolic syndrome as compared to their counterparts. CONCLUSION: Unrecognized metabolic syndrome was relatively high in the study community. The prevalence of metabolic syndrome varied among dietary diversity groups. But any of the dietary diversity scoring categories was not significantly associated with the occurrence of metabolic syndrome. Thus, awareness needs to be made to practice healthy diet and regular physical activity to maintaining normal body weight. Moreover, early screening of metabolic syndrome should be promoted. BioMed Central 2022-12-22 /pmc/articles/PMC9773519/ /pubmed/36544146 http://dx.doi.org/10.1186/s12902-022-01238-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zawdie, Belay
Tesfaye, Temamen
Moges, Solomon Berhanu
Tesfaye, Yonas
Kebede, Ayantu
Tadesse, Mulualem
Gudina, Esayas Kebede
Dadi, Lelisa Sena
Tamiru, Dessalegn
Lemma, Tefera Belachew
Metabolic syndrome distributions in dietary diversity score groups and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia: a community based cross- sectional study
title Metabolic syndrome distributions in dietary diversity score groups and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia: a community based cross- sectional study
title_full Metabolic syndrome distributions in dietary diversity score groups and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia: a community based cross- sectional study
title_fullStr Metabolic syndrome distributions in dietary diversity score groups and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia: a community based cross- sectional study
title_full_unstemmed Metabolic syndrome distributions in dietary diversity score groups and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia: a community based cross- sectional study
title_short Metabolic syndrome distributions in dietary diversity score groups and its associated factors among adults in the urban community of Jimma, Southwest Ethiopia: a community based cross- sectional study
title_sort metabolic syndrome distributions in dietary diversity score groups and its associated factors among adults in the urban community of jimma, southwest ethiopia: a community based cross- sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773519/
https://www.ncbi.nlm.nih.gov/pubmed/36544146
http://dx.doi.org/10.1186/s12902-022-01238-6
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