Phenias Nsabimana, Befikadu Tariku Gutema, Kate Langley, Hilda Vasanthakaalam, Stefaan De Henauw, Jérome W Somé, Souheila Abbeddou
{"title":"卢旺达年轻成年人的膳食模式、全球膳食质量得分及其相关社会人口因素的探索性研究:使用经食物清单验证的半定量食物频率问卷进行的横断面研究。","authors":"Phenias Nsabimana, Befikadu Tariku Gutema, Kate Langley, Hilda Vasanthakaalam, Stefaan De Henauw, Jérome W Somé, Souheila Abbeddou","doi":"10.1186/s12986-024-00859-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Economic growth in Rwanda is associated with significant changes in food systems, access to health and other services, lifestyle, and nutritional transitions. Nevertheless, our knowledge of dietary patterns in Rwanda remains limited. The present study aimed to identify the dietary habits of young adult population in Rwanda and to assess associated factors.</p><p><strong>Methods: </strong>A developed and validated semi-quantitative food frequency questionnaire covering a one-year period was used to collect data on food intake of 1,218 participants (18-35 years old) from end of January to April 2023 in a cross-sectional study. Dietary habits were assessed using two indicators: the Global Diet Quality Score (GDQS) and dietary patterns. The latest was developed using exploratory factor analysis.</p><p><strong>Results: </strong>Rwandan adults had a mean GDQS of 24.1; 64.4% had high GDQS, especially urban, and educated respondents. The Southern province led at 77.4%. Three dietary patterns were identified: \"Modern\" (high in processed foods and drinks), \"Traditional\" (rich in cereals, roots, and plant-based proteins), and \"low variety\" (low in diverse foods but high in sugar and salt). Dietary patterns significantly varied by residency, province, sex, age, social category, asset, and education level.</p><p><strong>Conclusion: </strong>This study identified distinct dietary patterns among adult population of Rwanda, suggesting a nutritional transition associated with urbanization. The findings highlight the need for further research into the relationships between diet, obesity, and metabolic syndrome in Rwandan population.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":"21 1","pages":"92"},"PeriodicalIF":3.9000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11566664/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploratory dietary patterns, the global diet quality score, and their associated socio-demographic factors among young adults in Rwanda: a cross-sectional study using a food list-validated, semi-quantitative food frequency questionnaire.\",\"authors\":\"Phenias Nsabimana, Befikadu Tariku Gutema, Kate Langley, Hilda Vasanthakaalam, Stefaan De Henauw, Jérome W Somé, Souheila Abbeddou\",\"doi\":\"10.1186/s12986-024-00859-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Economic growth in Rwanda is associated with significant changes in food systems, access to health and other services, lifestyle, and nutritional transitions. Nevertheless, our knowledge of dietary patterns in Rwanda remains limited. The present study aimed to identify the dietary habits of young adult population in Rwanda and to assess associated factors.</p><p><strong>Methods: </strong>A developed and validated semi-quantitative food frequency questionnaire covering a one-year period was used to collect data on food intake of 1,218 participants (18-35 years old) from end of January to April 2023 in a cross-sectional study. Dietary habits were assessed using two indicators: the Global Diet Quality Score (GDQS) and dietary patterns. The latest was developed using exploratory factor analysis.</p><p><strong>Results: </strong>Rwandan adults had a mean GDQS of 24.1; 64.4% had high GDQS, especially urban, and educated respondents. The Southern province led at 77.4%. 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The findings highlight the need for further research into the relationships between diet, obesity, and metabolic syndrome in Rwandan population.</p>\",\"PeriodicalId\":19196,\"journal\":{\"name\":\"Nutrition & Metabolism\",\"volume\":\"21 1\",\"pages\":\"92\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11566664/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition & Metabolism\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12986-024-00859-z\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-024-00859-z","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Exploratory dietary patterns, the global diet quality score, and their associated socio-demographic factors among young adults in Rwanda: a cross-sectional study using a food list-validated, semi-quantitative food frequency questionnaire.
Background: Economic growth in Rwanda is associated with significant changes in food systems, access to health and other services, lifestyle, and nutritional transitions. Nevertheless, our knowledge of dietary patterns in Rwanda remains limited. The present study aimed to identify the dietary habits of young adult population in Rwanda and to assess associated factors.
Methods: A developed and validated semi-quantitative food frequency questionnaire covering a one-year period was used to collect data on food intake of 1,218 participants (18-35 years old) from end of January to April 2023 in a cross-sectional study. Dietary habits were assessed using two indicators: the Global Diet Quality Score (GDQS) and dietary patterns. The latest was developed using exploratory factor analysis.
Results: Rwandan adults had a mean GDQS of 24.1; 64.4% had high GDQS, especially urban, and educated respondents. The Southern province led at 77.4%. Three dietary patterns were identified: "Modern" (high in processed foods and drinks), "Traditional" (rich in cereals, roots, and plant-based proteins), and "low variety" (low in diverse foods but high in sugar and salt). Dietary patterns significantly varied by residency, province, sex, age, social category, asset, and education level.
Conclusion: This study identified distinct dietary patterns among adult population of Rwanda, suggesting a nutritional transition associated with urbanization. The findings highlight the need for further research into the relationships between diet, obesity, and metabolic syndrome in Rwandan population.
期刊介绍:
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.