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      Dietary Patterns Are Associated with Predicted 10-Year Risk of Cardiovascular Disease Among Ghanaian Populations: the Research on Obesity and Diabetes in African Migrants (RODAM) Study

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          ABSTRACT

          Background

          Sub-Saharan African populations are disproportionately affected by cardiovascular disease (CVD). Although diet is an important lifestyle factor associated with CVD, evidence on the relation between dietary patterns (DPs) and CVD risk among sub-Saharan African populations is limited.

          Objective

          We assessed the associations of DPs with estimated 10-y atherosclerotic cardiovascular disease (ASCVD) risk in Ghanaian adults in Ghana and Europe.

          Methods

          Three DPs (‘mixed’; ‘rice, pasta, meat, and fish’; and ‘roots, tubers, and plantain’) were derived by principal component analysis (PCA) based on intake frequencies obtained by a self-administered Food Propensity Questionnaire in the multi-center, cross-sectional RODAM (Research on Obesity and Diabetes among African Migrants) study. The 10-y ASCVD risk was estimated using the Pooled Cohort Equations (PCE) for 2976 subjects, aged 40–70 y; a risk score ≥7.5% was defined as ‘elevated’ ASCVD risk. The associations of DPs with 10-y ASCVD risk were determined using Poisson regression with robust variance.

          Results

          Stronger adherence to a ‘mixed’ DP was associated with a lower predicted 10-y ASCVD in urban and rural Ghana and a higher 10-y ASCVD in Europe. The observed associations were attenuated after adjustment for possible confounders with the exception of urban Ghana (prevalence ratio [PR] for Quintile 5 compared with 1: 0.70; 95% CI: 0.53, 0.93, P-trend = 0.013). The ‘rice, pasta, meat, and fish’ DP was inversely associated with 10-y ASCVD across all study sites, with the adjusted effect being significant only in urban Ghana. A ‘roots, tubers, and plantain’ DP was directly associated with increased 10-y ASCVD risk.

          Conclusions

          Adherence to ‘mixed’ and ‘rice, pasta, meat, and fish’ DPs appears to reduce predicted 10-y ASCVD risk in adults in urban Ghana. Further investigations are needed to understand the underlying contextual-level mechanisms that influence dietary habits and to support context-specific dietary recommendations for CVD prevention among sub-Saharan African populations.

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          Most cited references28

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          2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults

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            The rise of multiple imputation: a review of the reporting and implementation of the method in medical research

            Background Missing data are common in medical research, which can lead to a loss in statistical power and potentially biased results if not handled appropriately. Multiple imputation (MI) is a statistical method, widely adopted in practice, for dealing with missing data. Many academic journals now emphasise the importance of reporting information regarding missing data and proposed guidelines for documenting the application of MI have been published. This review evaluated the reporting of missing data, the application of MI including the details provided regarding the imputation model, and the frequency of sensitivity analyses within the MI framework in medical research articles. Methods A systematic review of articles published in the Lancet and New England Journal of Medicine between January 2008 and December 2013 in which MI was implemented was carried out. Results We identified 103 papers that used MI, with the number of papers increasing from 11 in 2008 to 26 in 2013. Nearly half of the papers specified the proportion of complete cases or the proportion with missing data by each variable. In the majority of the articles (86%) the imputed variables were specified. Of the 38 papers (37%) that stated the method of imputation, 20 used chained equations, 8 used multivariate normal imputation, and 10 used alternative methods. Very few articles (9%) detailed how they handled non-normally distributed variables during imputation. Thirty-nine papers (38%) stated the variables included in the imputation model. Less than half of the papers (46%) reported the number of imputations, and only two papers compared the distribution of imputed and observed data. Sixty-six papers presented the results from MI as a secondary analysis. Only three articles carried out a sensitivity analysis following MI to assess departures from the missing at random assumption, with details of the sensitivity analyses only provided by one article. Conclusions This review outlined deficiencies in the documenting of missing data and the details provided about imputation. Furthermore, only a few articles performed sensitivity analyses following MI even though this is strongly recommended in guidelines. Authors are encouraged to follow the available guidelines and provide information on missing data and the imputation process. Electronic supplementary material The online version of this article (doi:10.1186/s12874-015-0022-1) contains supplementary material, which is available to authorized users.
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              Association of dietary nutrients with blood lipids and blood pressure in 18 countries: a cross-sectional analysis from the PURE study

              The relation between dietary nutrients and cardiovascular disease risk markers in many regions worldwide is unknown. In this study, we investigated the effect of dietary nutrients on blood lipids and blood pressure, two of the most important risk factors for cardiovascular disease, in low-income, middle-income, and high-income countries.
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                Author and article information

                Journal
                J Nutr
                J. Nutr
                jn
                The Journal of Nutrition
                Oxford University Press
                0022-3166
                1541-6100
                May 2019
                24 April 2019
                24 April 2019
                : 149
                : 5
                : 755-769
                Affiliations
                [1 ]Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
                [2 ]School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
                [3 ]Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
                [4 ]Department of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
                [5 ]Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
                [6 ]Public Health Section, School of Health and Related Research–ScHARR, University of Sheffield, Sheffield, United Kingdom
                [7 ]Department of Clinical Sciences and Nutrition, University of Chester, Chester, United Kingdom
                [8 ]MKPGMS – Uganda Martyrs University, Kampala, Uganda
                [9 ]Institute of Tropical Medicine and International Health, Charité – University Medicine Berlin, Berlin, Germany
                [10 ]Charité Center for Cardiovascular Research (CCR), Berlin, Germany
                [11 ]Division of Epidemiology & Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
                Author notes
                Address correspondence to DB (e-mail: d.boateng-2@ 123456umcutrecht.nl ).
                Author information
                http://orcid.org/0000-0001-7568-7298
                http://orcid.org/0000-0002-2497-6791
                http://orcid.org/0000-0002-0419-5816
                http://orcid.org/0000-0003-3032-405X
                http://orcid.org/0000-0001-8080-7872
                http://orcid.org/0000-0002-8117-5421
                http://orcid.org/0000-0002-5462-9889
                Article
                nxz002
                10.1093/jn/nxz002
                6533550
                31050745
                992f2140-e3d8-494f-b906-f858bc26d2c9
                Copyright © American Society for Nutrition 2019.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 July 2018
                : 13 September 2018
                : 07 January 2019
                Page count
                Pages: 15
                Categories
                Nutrition and Disease

                Nutrition & Dietetics
                dietary patterns,cardiovascular disease risk,pooled cohort equation,ghana,migrants,sub-saharan africa,rodam study

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