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Predictors of overweight and obesity in adult women in Nairobi Province, Kenya

BACKGROUND: Since obesity in urban women is prevalent in Kenya the study aimed to determine predictors of overweight and obesity in urban Kenyan women. METHODS: A cross-sectional study was undertaken in Nairobi Province. The province was purposively selected because it has the highest prevalence of...

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Autores principales: Mbochi, Regina W, Kuria, Elizabeth, Kimiywe, Judith, Ochola, Sophie, Steyn, Nelia P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485189/
https://www.ncbi.nlm.nih.gov/pubmed/23009185
http://dx.doi.org/10.1186/1471-2458-12-823
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author Mbochi, Regina W
Kuria, Elizabeth
Kimiywe, Judith
Ochola, Sophie
Steyn, Nelia P
author_facet Mbochi, Regina W
Kuria, Elizabeth
Kimiywe, Judith
Ochola, Sophie
Steyn, Nelia P
author_sort Mbochi, Regina W
collection PubMed
description BACKGROUND: Since obesity in urban women is prevalent in Kenya the study aimed to determine predictors of overweight and obesity in urban Kenyan women. METHODS: A cross-sectional study was undertaken in Nairobi Province. The province was purposively selected because it has the highest prevalence of overweight and obesity in Kenya. A total of 365 women aged 25–54 years old were randomly selected to participate in the study. RESULTS: Higher age, higher socio-economic (SE) group, increased parity, greater number of rooms in the house, and increased expenditure showed greater mean body mass index (BMI),% body fat and waist circumference (WC) at highly significant levels (p <0.001). Most of the variance in BMI was explained by age, total physical activity, percentage of fat consumed, parity and SE group in that order, together accounting for 18% of the variance in BMI. The results suggest that age was the most significant predictor of all the dependent variables appearing first in all the models, while parity was a significant predictor of BMI and WC. The upper two SE groups had significantly higher mean protein (p <0.05), cholesterol (p <0.05) and alcohol (p <0.001) intakes than the lower SE groups; while the lower SE groups had significantly higher mean fibre (p <0.001) and carbohydrate (p <0.05) intakes. A fat intake greater than 100% of the DRI dietary reference intake (DRI) had a significantly greater mean BMI (p <0.05) than a fat intake less than the DRI. CONCLUSIONS: The predictors of overweight and obesity showed that urbanization and the nutrition transition were well established in the sample of women studied in the high SE groups. They exhibited a sedentary lifestyle and consumed a diet high in energy, protein, fat, cholesterol, and alcohol and lower in fibre and carbohydrate compared with those in the low SE groups.
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spelling pubmed-34851892012-11-01 Predictors of overweight and obesity in adult women in Nairobi Province, Kenya Mbochi, Regina W Kuria, Elizabeth Kimiywe, Judith Ochola, Sophie Steyn, Nelia P BMC Public Health Research Article BACKGROUND: Since obesity in urban women is prevalent in Kenya the study aimed to determine predictors of overweight and obesity in urban Kenyan women. METHODS: A cross-sectional study was undertaken in Nairobi Province. The province was purposively selected because it has the highest prevalence of overweight and obesity in Kenya. A total of 365 women aged 25–54 years old were randomly selected to participate in the study. RESULTS: Higher age, higher socio-economic (SE) group, increased parity, greater number of rooms in the house, and increased expenditure showed greater mean body mass index (BMI),% body fat and waist circumference (WC) at highly significant levels (p <0.001). Most of the variance in BMI was explained by age, total physical activity, percentage of fat consumed, parity and SE group in that order, together accounting for 18% of the variance in BMI. The results suggest that age was the most significant predictor of all the dependent variables appearing first in all the models, while parity was a significant predictor of BMI and WC. The upper two SE groups had significantly higher mean protein (p <0.05), cholesterol (p <0.05) and alcohol (p <0.001) intakes than the lower SE groups; while the lower SE groups had significantly higher mean fibre (p <0.001) and carbohydrate (p <0.05) intakes. A fat intake greater than 100% of the DRI dietary reference intake (DRI) had a significantly greater mean BMI (p <0.05) than a fat intake less than the DRI. CONCLUSIONS: The predictors of overweight and obesity showed that urbanization and the nutrition transition were well established in the sample of women studied in the high SE groups. They exhibited a sedentary lifestyle and consumed a diet high in energy, protein, fat, cholesterol, and alcohol and lower in fibre and carbohydrate compared with those in the low SE groups. BioMed Central 2012-09-25 /pmc/articles/PMC3485189/ /pubmed/23009185 http://dx.doi.org/10.1186/1471-2458-12-823 Text en Copyright ©2012 Mbochi et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mbochi, Regina W
Kuria, Elizabeth
Kimiywe, Judith
Ochola, Sophie
Steyn, Nelia P
Predictors of overweight and obesity in adult women in Nairobi Province, Kenya
title Predictors of overweight and obesity in adult women in Nairobi Province, Kenya
title_full Predictors of overweight and obesity in adult women in Nairobi Province, Kenya
title_fullStr Predictors of overweight and obesity in adult women in Nairobi Province, Kenya
title_full_unstemmed Predictors of overweight and obesity in adult women in Nairobi Province, Kenya
title_short Predictors of overweight and obesity in adult women in Nairobi Province, Kenya
title_sort predictors of overweight and obesity in adult women in nairobi province, kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485189/
https://www.ncbi.nlm.nih.gov/pubmed/23009185
http://dx.doi.org/10.1186/1471-2458-12-823
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