{"title":"埃塞俄比亚西南部Ilubabor地区6-59个月儿童发育迟缓及其相关因素","authors":"A. Zewdie, E. Negash, Dereje Tsegaye","doi":"10.1108/nfs-07-2021-0227","DOIUrl":null,"url":null,"abstract":"\nPurpose\nStunting, which refers to low height-for-age, is one of the most important public health problems in Ethiopia, and it more accurately reflects nutritional deficiencies and illness that occur during the most critical periods for growth and development in early life. Given this, this paper aims at determining the magnitude and factors associated with stunting among 6–59 month old children in Ilubabor Zone, Southwest Ethiopia.\n\n\nDesign/methodology/approach\nThis paper opted for a descriptive study using an interviewer-administered questionnaire and anthropometric measurements of 617 children aged 6–59 months. A systematic random sampling technique was used to select the study participants. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 25 and World Health Organization (WHO) Anthro software. Multivariate logistic regression analysis was used to identify independent predictors of stunting.\n\n\nFindings\nAbout 33.7% of children aged 6–59 months included in this study were stunted. The proportion of moderate and severe stunting among the stunted children was 26.4% and 7.3%, respectively. Large family size (AOR = 4.0; 95% confidence interval [CI]: 2.5, 6.4), low dietary diversity score (AOR = 7.8; 95% CI: 4.6, 13.0) and household food insecurity (AOR = 16.4; 95% CI: 10.0, 26.7) were independent predictors of stunting.\n\n\nResearch limitations/implications\nReporting and recall bias related to food groups consumed over the past seven days and seasonal variation may affect the findings related to factors associated with stunting.\n\n\nPractical implications\nGlobally, it is estimated that nearly 165 million children under the age of five are stunted. Outcomes associated with stunting include increased risk of mortality, increased disease risk, developmental delays, diminished ability to learn and lower school achievement and reduced lifelong productivity. So, determining the level of stunting in a particular community is important to design strategies for curbing the contributing factors.\n\n\nOriginality/value\nThis study’s community-based design yields a representative sample of study subjects in the Hurumu district, which is valuable for intervention methods and actions. Standardized tools that are validated for use by the World Health Organization are used. Besides, anthropometric data were analyzed using the updated WHO Anthro software.\n","PeriodicalId":19376,"journal":{"name":"Nutrition & Food Science","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Stunting and its associated factors in children aged 6–59 months in Ilubabor zone, Southwest Ethiopia\",\"authors\":\"A. Zewdie, E. Negash, Dereje Tsegaye\",\"doi\":\"10.1108/nfs-07-2021-0227\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nStunting, which refers to low height-for-age, is one of the most important public health problems in Ethiopia, and it more accurately reflects nutritional deficiencies and illness that occur during the most critical periods for growth and development in early life. Given this, this paper aims at determining the magnitude and factors associated with stunting among 6–59 month old children in Ilubabor Zone, Southwest Ethiopia.\\n\\n\\nDesign/methodology/approach\\nThis paper opted for a descriptive study using an interviewer-administered questionnaire and anthropometric measurements of 617 children aged 6–59 months. A systematic random sampling technique was used to select the study participants. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 25 and World Health Organization (WHO) Anthro software. Multivariate logistic regression analysis was used to identify independent predictors of stunting.\\n\\n\\nFindings\\nAbout 33.7% of children aged 6–59 months included in this study were stunted. The proportion of moderate and severe stunting among the stunted children was 26.4% and 7.3%, respectively. Large family size (AOR = 4.0; 95% confidence interval [CI]: 2.5, 6.4), low dietary diversity score (AOR = 7.8; 95% CI: 4.6, 13.0) and household food insecurity (AOR = 16.4; 95% CI: 10.0, 26.7) were independent predictors of stunting.\\n\\n\\nResearch limitations/implications\\nReporting and recall bias related to food groups consumed over the past seven days and seasonal variation may affect the findings related to factors associated with stunting.\\n\\n\\nPractical implications\\nGlobally, it is estimated that nearly 165 million children under the age of five are stunted. Outcomes associated with stunting include increased risk of mortality, increased disease risk, developmental delays, diminished ability to learn and lower school achievement and reduced lifelong productivity. So, determining the level of stunting in a particular community is important to design strategies for curbing the contributing factors.\\n\\n\\nOriginality/value\\nThis study’s community-based design yields a representative sample of study subjects in the Hurumu district, which is valuable for intervention methods and actions. Standardized tools that are validated for use by the World Health Organization are used. Besides, anthropometric data were analyzed using the updated WHO Anthro software.\\n\",\"PeriodicalId\":19376,\"journal\":{\"name\":\"Nutrition & Food Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2021-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition & Food Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/nfs-07-2021-0227\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Food Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/nfs-07-2021-0227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Stunting and its associated factors in children aged 6–59 months in Ilubabor zone, Southwest Ethiopia
Purpose
Stunting, which refers to low height-for-age, is one of the most important public health problems in Ethiopia, and it more accurately reflects nutritional deficiencies and illness that occur during the most critical periods for growth and development in early life. Given this, this paper aims at determining the magnitude and factors associated with stunting among 6–59 month old children in Ilubabor Zone, Southwest Ethiopia.
Design/methodology/approach
This paper opted for a descriptive study using an interviewer-administered questionnaire and anthropometric measurements of 617 children aged 6–59 months. A systematic random sampling technique was used to select the study participants. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 25 and World Health Organization (WHO) Anthro software. Multivariate logistic regression analysis was used to identify independent predictors of stunting.
Findings
About 33.7% of children aged 6–59 months included in this study were stunted. The proportion of moderate and severe stunting among the stunted children was 26.4% and 7.3%, respectively. Large family size (AOR = 4.0; 95% confidence interval [CI]: 2.5, 6.4), low dietary diversity score (AOR = 7.8; 95% CI: 4.6, 13.0) and household food insecurity (AOR = 16.4; 95% CI: 10.0, 26.7) were independent predictors of stunting.
Research limitations/implications
Reporting and recall bias related to food groups consumed over the past seven days and seasonal variation may affect the findings related to factors associated with stunting.
Practical implications
Globally, it is estimated that nearly 165 million children under the age of five are stunted. Outcomes associated with stunting include increased risk of mortality, increased disease risk, developmental delays, diminished ability to learn and lower school achievement and reduced lifelong productivity. So, determining the level of stunting in a particular community is important to design strategies for curbing the contributing factors.
Originality/value
This study’s community-based design yields a representative sample of study subjects in the Hurumu district, which is valuable for intervention methods and actions. Standardized tools that are validated for use by the World Health Organization are used. Besides, anthropometric data were analyzed using the updated WHO Anthro software.
期刊介绍:
Nutrition & Food Science* (NFS) is an international, double blind peer-reviewed journal offering accessible and comprehensive coverage of food, beverage and nutrition research. The journal draws out the practical and social applications of research, demonstrates best practice through applied research and case studies and showcases innovative or controversial practices and points of view. The journal is an invaluable resource to inform individuals, organisations and the public on modern thinking, research and attitudes to food science and nutrition. NFS welcomes empirical and applied research, viewpoint papers, conceptual and technical papers, case studies, meta-analysis studies, literature reviews and general reviews which take a scientific approach to the following topics: -Attitudes to food and nutrition -Healthy eating/ nutritional public health initiatives, policies and legislation -Clinical and community nutrition and health (including public health and multiple or complex co-morbidities) -Nutrition in different cultural and ethnic groups -Nutrition during pregnancy, lactation, childhood, and young adult years -Nutrition for adults and older people -Nutrition in the workplace -Nutrition in lower and middle income countries (incl. comparisons with higher income countries) -Food science and technology, including food processing and microbiological quality -Genetically engineered foods -Food safety / quality, including chemical, physical and microbiological analysis of how these aspects effect health or nutritional quality of foodstuffs