Prevalence and determinants of minimum dietary diversity for women of reproductive age in Uganda
Abstract Background Globally, over a billion women of reproductive age (WRA) suffer from some kind of undernutrition micronutrient deficiencies, and/or anemia as a result of inadequate dietary diversity. This leads to poor maternal and child health outcomes, however, there is limited research on pop...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2024-03-01
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| Series: | BMC Nutrition |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40795-024-00858-6 |
| _version_ | 1797275552483115008 |
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| author | Derrick Kimuli Florence Nakaggwa Norah Namuwenge Rebecca N. Nsubuga Kenneth Kasule Sheila Nyakwezi Jimmy Odong Paul Isabirye Solome Sevume Norbert Mubiru Daniel Mwehire Fatuma Matovu Bonnie Wandera Barbara Amuron Daraus Bukenya |
| author_facet | Derrick Kimuli Florence Nakaggwa Norah Namuwenge Rebecca N. Nsubuga Kenneth Kasule Sheila Nyakwezi Jimmy Odong Paul Isabirye Solome Sevume Norbert Mubiru Daniel Mwehire Fatuma Matovu Bonnie Wandera Barbara Amuron Daraus Bukenya |
| author_sort | Derrick Kimuli |
| collection | DOAJ |
| description | Abstract Background Globally, over a billion women of reproductive age (WRA) suffer from some kind of undernutrition micronutrient deficiencies, and/or anemia as a result of inadequate dietary diversity. This leads to poor maternal and child health outcomes, however, there is limited research on population level research on minimum dietary diversity for women (MDD-W). This study assessed the prevalence and predictors of MDD-W among WRA in Uganda. Methods This study was a secondary analysis of data from the lot quality assurance sampling (LQAS) survey conducted across 55 Ugandan districts between May and September 2022. Women of various ages were interviewed across 5 study subgroups that this study used to construct its study population (WRA). Descriptive analyses, tests for outcome differences, and multilevel mixed-effects logistic regression were conducted at a 5% statistical significance level using STATA version 17. The results were reported using Adjusted Odds Ratios (aOR) as the measure of the outcome. Results The study analyzed responses from 29,802 WRA with a mean age of 27.8 (± 6.8) years. Only 8.8% (95% CI 8.5–9.3) achieved the MDD-W, the least proportion was observed in the South-Central region (3.13%). In the adjusted analysis, WRA who were older than 25 years (aOR 1.1, 95% CI 1.1–1.3, p < 0.001), had secondary education (aOR = 1.4, 95% CI 1.1–1.7, p = 0.003) or above (aOR = 1.7, 95% CI 1.3–2.2, p < 0.001), and used modern contraceptives (aOR = 1.1, 95% CI 1.0-1.3, p = 0.01) were more likely to achieve the MDD-W. Conversely, WRA who travelled longer distances to the nearest household water source (aOR = 0.8, 95% CI 0.7–0.9, p = 0.002) and those residing in larger households (aOR = 0.9, 95% CI 0.8-1.0, p = 0.019) were less likely to achieve the MDD-W. Conclusion A low proportion of WRA met the MDD-W. Age, education level, household sizes and use of modern contraception were predictors of MDD-W among WRA in Uganda. MDD-W-related program efforts in Uganda should strengthen multisectoral collaboration with prioritization of younger women, education, household sizes and access to safe water sources. |
| first_indexed | 2024-03-07T15:16:06Z |
| format | Article |
| id | doaj.art-722c9ec2344e4a69bd49c2920d88b828 |
| institution | Directory Open Access Journal |
| issn | 2055-0928 |
| language | English |
| last_indexed | 2024-03-07T15:16:06Z |
| publishDate | 2024-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Nutrition |
| spelling | doaj.art-722c9ec2344e4a69bd49c2920d88b8282024-03-05T17:55:47ZengBMCBMC Nutrition2055-09282024-03-011011910.1186/s40795-024-00858-6Prevalence and determinants of minimum dietary diversity for women of reproductive age in UgandaDerrick Kimuli0Florence Nakaggwa1Norah Namuwenge2Rebecca N. Nsubuga3Kenneth Kasule4Sheila Nyakwezi5Jimmy Odong6Paul Isabirye7Solome Sevume8Norbert Mubiru9Daniel Mwehire10Fatuma Matovu11Bonnie Wandera12Barbara Amuron13Daraus Bukenya14Social & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivitySocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivitySocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivitySocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivitySocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivityThe United States Agency for International Development Uganda, US Mission Compound - South WingSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivitySocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivityThe United States Agency for International Development Uganda, US Mission Compound - South WingThe United States Agency for International Development Uganda, US Mission Compound - South WingThe United States Agency for International Development Uganda, US Mission Compound - South WingSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivitySocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivitySocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivitySocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support ActivityAbstract Background Globally, over a billion women of reproductive age (WRA) suffer from some kind of undernutrition micronutrient deficiencies, and/or anemia as a result of inadequate dietary diversity. This leads to poor maternal and child health outcomes, however, there is limited research on population level research on minimum dietary diversity for women (MDD-W). This study assessed the prevalence and predictors of MDD-W among WRA in Uganda. Methods This study was a secondary analysis of data from the lot quality assurance sampling (LQAS) survey conducted across 55 Ugandan districts between May and September 2022. Women of various ages were interviewed across 5 study subgroups that this study used to construct its study population (WRA). Descriptive analyses, tests for outcome differences, and multilevel mixed-effects logistic regression were conducted at a 5% statistical significance level using STATA version 17. The results were reported using Adjusted Odds Ratios (aOR) as the measure of the outcome. Results The study analyzed responses from 29,802 WRA with a mean age of 27.8 (± 6.8) years. Only 8.8% (95% CI 8.5–9.3) achieved the MDD-W, the least proportion was observed in the South-Central region (3.13%). In the adjusted analysis, WRA who were older than 25 years (aOR 1.1, 95% CI 1.1–1.3, p < 0.001), had secondary education (aOR = 1.4, 95% CI 1.1–1.7, p = 0.003) or above (aOR = 1.7, 95% CI 1.3–2.2, p < 0.001), and used modern contraceptives (aOR = 1.1, 95% CI 1.0-1.3, p = 0.01) were more likely to achieve the MDD-W. Conversely, WRA who travelled longer distances to the nearest household water source (aOR = 0.8, 95% CI 0.7–0.9, p = 0.002) and those residing in larger households (aOR = 0.9, 95% CI 0.8-1.0, p = 0.019) were less likely to achieve the MDD-W. Conclusion A low proportion of WRA met the MDD-W. Age, education level, household sizes and use of modern contraception were predictors of MDD-W among WRA in Uganda. MDD-W-related program efforts in Uganda should strengthen multisectoral collaboration with prioritization of younger women, education, household sizes and access to safe water sources.https://doi.org/10.1186/s40795-024-00858-6Dietary diversityGeographic locationWomenEducation |
| spellingShingle | Derrick Kimuli Florence Nakaggwa Norah Namuwenge Rebecca N. Nsubuga Kenneth Kasule Sheila Nyakwezi Jimmy Odong Paul Isabirye Solome Sevume Norbert Mubiru Daniel Mwehire Fatuma Matovu Bonnie Wandera Barbara Amuron Daraus Bukenya Prevalence and determinants of minimum dietary diversity for women of reproductive age in Uganda BMC Nutrition Dietary diversity Geographic location Women Education |
| title | Prevalence and determinants of minimum dietary diversity for women of reproductive age in Uganda |
| title_full | Prevalence and determinants of minimum dietary diversity for women of reproductive age in Uganda |
| title_fullStr | Prevalence and determinants of minimum dietary diversity for women of reproductive age in Uganda |
| title_full_unstemmed | Prevalence and determinants of minimum dietary diversity for women of reproductive age in Uganda |
| title_short | Prevalence and determinants of minimum dietary diversity for women of reproductive age in Uganda |
| title_sort | prevalence and determinants of minimum dietary diversity for women of reproductive age in uganda |
| topic | Dietary diversity Geographic location Women Education |
| url | https://doi.org/10.1186/s40795-024-00858-6 |
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