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      Minimum acceptable diet intake and its associated factors among children age at 6–23 months in sub-Saharan Africa: a multilevel analysis of the sub-Saharan Africa demographic and health survey

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          Abstract

          Background

          Only one in five children aged below 24 months in the low-income countries feed the minimum recommended diet, and significantly varied across socio-economic classes. Though sub-saharan Africa (SSA) shares the huge burden of children under nutrition, as to our search of literature there is limited evidence on the pooled magnitude and factors associated with minimum acceptable diet (MAD) intake among children aged 6 to 23 months in the region. This study aimed to assess the pooled magnitude and associated factors of MAD intake among children aged 6–23 months in SSA using recent 2010–2020 DHS data.

          Methods

          Demographic and Health Survey datasets of SSA countries were used for this study with a total of 78,542 weighted samples. The data were cleaned using MS excel and extracted and analyzed using STATA V.16 software. A multilevel binary logistic regression model was fitted. The adjusted odds ratio (AOR) with P-value < 0.05 was taken to declare statistical significance.

          Results

          The pooled magnitude of MAD intake among children aged 6–23 months in SSA was 9.89% [95%CI: 8.57, 11.21%] ranging from 3.10% in Guinea to 20.40% in Kenya. Individual level factors such as; secondary &above women educational status [AOR = 1.41; 95%CI; 1.29, 1.53], having employed women [AOR = 1.25;95%CI;1.17,1.33], having media exposure [AOR = 1.55;95%CI;1.45,1.66], richest household wealth [AOR = 1.93; 95%CI; 1.73, 2.15], plural birth [AOR = 0.68;95%CI; 0.56, 0.82] and breastfed child [AOR = 2.04; 95%CI; 1.89, 2.21], whereas, community level factor such as rural residence [AOR = 0.74; 95%CI; 0.69, 0.79] and living in upper middle income country [AOR = 1.62; [95%CI; 1.41,1.87] were significantly associated with MAD intake.

          Conclusion and recommendations

          Minimum acceptable diet intake in SSA is relatively low. Variables such as; secondary &above maternal education, having employed mother, exposure to media, richest wealth, breast feeding child, and upper middle income country have a significant positive association, whereas having plural birth and living in rural residence have a significant negative association with MAD intake. These findings highlight that policymakers and other stakeholders had better give prior attention to empowering women, enhance household wealth status and media exposure to increase the MAD intake in the region.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12889-022-12966-8.

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          Most cited references56

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          Maternal and child undernutrition and overweight in low-income and middle-income countries

          The Lancet, 382(9890), 427-451
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            Regional alcohol consumption and alcohol-related mortality in Great Britain: novel insights using retail sales data

            Background Regional differences in population levels of alcohol-related harm exist across Great Britain, but these are not entirely consistent with differences in population levels of alcohol consumption. This incongruence may be due to the use of self-report surveys to estimate consumption. Survey data are subject to various biases and typically produce consumption estimates much lower than those based on objective alcohol sales data. However, sales data have never been used to estimate regional consumption within Great Britain (GB). This ecological study uses alcohol retail sales data to provide novel insights into regional alcohol consumption in GB, and to explore the relationship between alcohol consumption and alcohol-related mortality. Methods Alcohol sales estimates derived from electronic sales, delivery records and retail outlet sampling were obtained. The volume of pure alcohol sold was used to estimate per adult consumption, by market sector and drink type, across eleven GB regions in 2010–11. Alcohol-related mortality rates were calculated for the same regions and a cross-sectional correlation analysis between consumption and mortality was performed. Results Per adult consumption in northern England was above the GB average and characterised by high beer sales. A high level of consumption in South West England was driven by on-trade sales of cider and spirits and off-trade wine sales. Scottish regions had substantially higher spirits sales than elsewhere in GB, particularly through the off-trade. London had the lowest per adult consumption, attributable to lower off-trade sales across most drink types. Alcohol-related mortality was generally higher in regions with higher per adult consumption. The relationship was weakened by the South West and Central Scotland regions, which had the highest consumption levels, but discordantly low and very high alcohol-related mortality rates, respectively. Conclusions This study provides support for the ecological relationship between alcohol-related mortality and alcohol consumption. The synthesis of knowledge from a combination of sales, survey and mortality data, as well as primary research studies, is key to ensuring that regional alcohol consumption, and its relationship with alcohol-related harms, is better understood.
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              Correlates, facilitators and barriers of physical activity among primary care patients with prediabetes in Singapore – a mixed methods approach

              Background Primary care patients with prediabetes is a priority group in the clinical, organisational and policy contexts. Engaging in regular physical activity is crucial to prevent diabetes for this group. The objectives of the study were to assess factors associated with meeting the recommendation of at least 150 min of moderate/vigorous physical activity weekly, and to explore facilitators and barriers related to the behaviour among primary care patients with prediabetes in Singapore. Methods This was a mixed methods study, consisting of a cross-sectional survey involving 433 participants from 8 polyclinics, and in-depth interviews with 48 of them. Adjusted prevalence ratios (aPR) were obtained by mixed effects Poisson regression model. The socio-ecological model (SEM) was applied, and thematic analysis performed. Results The prevalence of meeting the recommendation was 65.8%. This was positively associated with being male (aPR 1.21, 95%CI 1.09–1.34), living in 4–5 room public housing (aPR 1.19, 95%CI 1.07–1.31), living in executive flat/private housing (aPR 1.26, 95%CI 1.06–1.50), having family members/friends to exercise with (aPR 1.57, 95%CI 1.38–1.78); and negatively associated with a personal history of osteoarthritis (aPR 0.75, 95%CI 0.59–0.96), as well as time spent sitting or reclining daily (aPR 0.96, 95%CI 0.94–0.98). The recurrent themes for not meeting the recommendation included lacking companionship from family members/friends, medical conditions hindering physical activity (particularly osteoarthritis), lacking knowledge/skills to exercise properly, “no time” to exercise and barriers pertaining to exercise facilities in the neighbourhood. The recurrent themes for meeting the recommendation included family/peer influence, health/well-being concerns and education by healthcare professionals. Conclusions Much more remains to be done to promote physical activity among primary care patients with prediabetes in Singapore. Participants reported facilitators and barriers to physical activity at different levels of the SEM. Apart from the individual and interpersonal levels, practitioners and policy makers need to work together to address the organisational, community and policy barriers to physical activity.
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                Author and article information

                Contributors
                danielgashaneh28@gmail.com
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                7 April 2022
                7 April 2022
                2022
                : 22
                : 684
                Affiliations
                [1 ]GRID grid.59547.3a, ISNI 0000 0000 8539 4635, Department of Human Anatomy, School of Medicine, College of Medicine and Health Sciences, , University of Gondar, ; Gondar, Ethiopia
                [2 ]GRID grid.59547.3a, ISNI 0000 0000 8539 4635, Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, , University of Gondar, ; Gondar, Ethiopia
                Article
                12966
                10.1186/s12889-022-12966-8
                8991979
                35392871
                b6e1cdf1-fb32-4d3a-90bd-8fb9ca90d041
                © The Author(s) 2022

                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/. The Creative Commons Public Domain Dedication waiver ( http://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.

                History
                : 27 August 2021
                : 10 March 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Public health
                minimum acceptable diet,socioeconomic inequalities,sub-saharan african
                Public health
                minimum acceptable diet, socioeconomic inequalities, sub-saharan african

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